{"allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"componentsResourceTypes":["snowflake-site/components/markup-editor","snowflake-site/components/structure/page","snowflake-site/components/text","snowflake-site/components/title-v2","nt:unstructured","snowflake-site/components/simplified-navigation-bar","snowflake-site/components/experiencefragment","nt:file","snowflake-site/components/modal/modal-container","snowflake-site/components/image","snowflake-site/components/form/marketo-v2","nt:folder","snowflake-site/components/container","snowflake-site/components/title","wcm/foundation/components/responsivegrid","nt:resource","snowflake-site/components/flexible-column-container","snowflake-site/components/structure/xfpage","snowflake-site/components/flexible-column-container/flexible-column-content-container"],"designPath":"/libs/settings/wcm/designs/default","brandSlug":"","clientlibsAsync":false,"dataLayerClientlibIncluded":true,"dataLayerName":"adobeDataLayer","cssClassNames":"page basicpage summit-page","templateName":"demand-gen-landing-page-template","description":"Omdia의 2026년 최신 연구에서는 생성형 AI의 혁신적인 ROI와 AI 에이전트의 빠른 확산을 조명합니다. 생성형 AI ROI 20% 증가를 포함해 도입 현황과 주요 과제에 대한 핵심 데이터를 확인하려면 Snowflake 보고서를 다운로드하세요.","lastModifiedDate":1776425715729,"language":"ko","title":"2026 생성형 AI와 에이전트의 ROI | Snowflake","tags":[],"analyticsPageType":"homepage","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,"coveoConfig":{"pipeline":"snowflake.com","apiKey":"xx335921a6-2a0a-40f2-a167-e390b4766c3d","organizationId":"snowflakecomputingproduction8neljofn","searchHub":"snowflake.com"},"analyticsDebugMode":false,"analyticsData":{"excludeFromAnalytics":false,"subCategory":"","pageType":"homepage","templateName":"demand-gen-landing-page-template","siteName":"snowflake","pageUrl":"/content/snowflake-site/global/ko/lp/radical-roi-generative-ai","language":"ko","category":"general","pageName":"2026 생성형 AI와 에이전트의 ROI | Snowflake","contentTags":[]},":path":"/content/snowflake-site/global/ko/lp/radical-roi-generative-ai",":hierarchyType":"page","isPasswordProtected":false,"analyticsContentTags":[],"analyticsEnabled":true,":mappedPath":"/ko/lp/radical-roi-generative-ai/",":type":"snowflake-site/components/structure/page",":items":{"root":{"columnClassNames":{"experiencefragment-banner":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-header":"aem-GridColumn aem-GridColumn--default--12","markup_editor_1105360441":"aem-GridColumn aem-GridColumn--default--12","responsivegrid":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-footer":"aem-GridColumn aem-GridColumn--default--12","experiencefragment":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12","modal_container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"experiencefragment-banner":{"id":"experiencefragment-470ed7b46f","configured":false,":type":"snowflake-site/components/experiencefragment",":items":{},":itemsOrder":[],"classNames":"aem-xf empty"},"experiencefragment-header":{"id":"experiencefragment-a3061c25ae","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/header/demand-gen-landing/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"columnClassNames":{"simplified_navigatio":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-f9566febfa",":type":"snowflake-site/components/container",":items":{"simplified_navigatio":{"layout":"SIMPLE","id":"container-d94b5486f7",":type":"snowflake-site/components/simplified-navigation-bar",":items":{},":itemsOrder":[]}},":itemsOrder":["simplified_navigatio"]},"cq:metadata":{":type":"nt:unstructured"},"image":{":type":"nt:unstructured"},"cq:targetMetadata":{"cq:targetStatus":"SYNCHRONIZED","cq:exportTime":1713537083471,"cq:targetOfferId":654916,":type":"nt:unstructured"}},":itemsOrder":["root","cq:metadata","image","cq:targetMetadata"],"classNames":"aem-xf"},"markup_editor":{"id":"markup-editor-9a63b74289","title":" ","cssContent":".mktoButtonRow .mktoButtonWrap{margin-left:0 !important}div .mktoForm .mktoButtonWrap.mktoSimple .mktoButton{width:100% !important;border-radius:48px;text-transform:uppercase;background-color:var(--ui-01);outline:none;border:1px solid var(--ui-01);color:#fff;padding:16px 30px 15px 30px !important;font-family:'Texta',sans-serif;font-weight:700 !important;font-size:14px !important;background-image:none !important}div .mktoForm .mktoButtonWrap.mktoSimple .mktoButton:focus,div .mktoForm .mktoButtonWrap.mktoSimple .mktoButton:active,div .mktoForm .mktoButtonWrap.mktoSimple .mktoButton:hover{background-color:var(--ui-02);border-color:var(--ui-02)}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"},"responsivegrid":{"columnClassNames":{"container_882109576":"aem-GridColumn aem-GridColumn--default--12","container_65569746_c":"aem-GridColumn aem-GridColumn--default--12","container_copy":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"container_882109576":{"additionalClasses":"lp-nav","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-c696a1bc7e","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"container":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-20c6287648","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-b6957a7f74","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-22641f4496",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"flex-container lp-nav__inner","columnClassNames":{"image":"aem-GridColumn aem-GridColumn--default--12","markup_editor_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-b05199e994","appliedCssClassNames":"snowflake-responsive-container-inner-padding-none",":type":"snowflake-site/components/container",":items":{"image":{"id":"image-6322ed47f4","additionalClasses":"lp-nav__logo","alt":"Snowflake Logo","lazyEnabled":true,"src":"https://www.snowflake.com/content/snowflake-site/global/ko/lp/radical-roi-generative-ai/_jcr_content/root/responsivegrid/container_882109576/container/flexible_column_cont/flexible_column_content_container_1/container/image.coreimg.svg/1775712431033/snowflake-logo-blue.svg","imageLink":{"valid":true,"attributes":{"target":"_blank"},"url":"/ko/"},":type":"snowflake-site/components/image"},"markup_editor_copy":{"id":"markup-editor-5fd7b95fd7","title":"Page CSS","htmlContent":"\u003Cdiv class=\"lp-nav__mobile-button snowflake-button-primary snowflake-button-blue snowflake-button-compact \"\u003E\u003Ca id=\"formBtn\" href=\"#form\" role=\"button\" class=\"lp-form-button snowflake-button-container\" tabindex=\"0\" target=\"_self\" rel=\"noreferrer\"\u003EDownload Ebook\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E","cssContent":".left-col p + ul{margin-top:16px !important}.lp-hero__bg-image{position:absolute;bottom:0;right:0;width:50%;height:auto;opacity:.5}.snowflake-quote-item-inner{gap:var(--spacing-02)}.lp-quote-container \u003E .container \u003E .cmp-container \u003E .aem-container \u003E div{margin:0 !important}@media screen and (min-width:768px){.lp-quote-container \u003E .container \u003E .cmp-container \u003E .aem-container{display:flex;flex-wrap:nowrap;align-items:center;flex-direction:row}}.lp-quote-container \u003E .container \u003E .cmp-container \u003E .aem-container{padding:24px;border-radius:8px;overflow:hidden;background-color:var(--ui-background-05)}.lp-quote-contianer__image{border-radius:100%;overflow:hidden}.lp-quote-container \u003E .container \u003E .cmp-container \u003E .aem-container \u003E div:first-child{max-width:160px;width:30%;padding-right:32px}.lp-quote-container \u003E .container \u003E .cmp-container \u003E .aem-container \u003E div:last-child{width:70%;flex-grow:1}.snowflake-logo .snowflake-image-container .cmp-image__inner{max-height:none;max-width:64px;overflow:hidden;border-radius:100%}.snowflake-logo .snowflake-image-container .cmp-image__image{aspect-ratio:1}.mktoHtmlText.mktoHasWidth{width:100% !important}@media screen and (max-width:991px){.lp-hero__main-text{padding-top:52px}}@media screen and (max-width:767px){.lp-hero__eyebrow{padding-top:48px}#form{padding-top:80px;margin-top:-80px}.small-logo{max-width:200px;margin:0 auto}.snowflake-marketo-form-container{margin-bottom:0 !important}}@media screen and (min-width:767px){.snowflake-marketo-form-container{padding:var(--spacing-05);max-width:400px;margin:0 auto}.snowflake-marketo-form-container .mktoFormRow{margin-bottom:0 !important}.left-col{padding-right:48px}.longform-lp-grid \u003E .snowflake-flexible-column-container-items \u003E div:last-child{position:sticky;margin-top:-140%;top:90px}}.border-top-blue{border-top:2px solid var(--ui-01)}.is-new-navy-bg{background-color:#0f2d46}.is-new-dark-bg{background-color:#24323d}.is-new-navy-bg .list--blue-bullets li::before,.is-new-dark-bg .list--blue-bullets li::before{border-color:#415261}.final-cta-outer{position:relative}.final-cta-inner{position:relative;z-index:10}.final-cta-outer::after{content:'';display:block;position:absolute;bottom:0;left:0;width:100%;height:50%;background:black}.promo-card-dark-bg{background-color:#24323d}.final-cta \u003E div{background-color:#24323d;border-radius:8px;overflow:hidden;padding:24px 64px}.promo-card-padding{padding:40px;border-radius:8px;overflow:hidden}.snowflake-quote-item-inner{padding:0 !important}@media screen and (max-width:1680px){.lp-hero-content{padding:0 0 0 48px}}.lp-hero-image img{margin-top:-25%;transform:translateX(10%)}.toc-list ul{list-style-type:none;padding:0}.border-top{border-top:1px solid #ccc}.toc-list li{border-left:4px solid #ccc;padding:8px 20px;transition:300ms ease all}.toc-list li:hover{border-color:var(--ui-01);cursor:pointer;transition:300ms ease all}.stat-container{padding:32px;border-radius:8px}.has-sf-bg{background-image:url(\"data:image/svg+xml,%3Csvg width='56' height='51' viewBox='0 0 56 51' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M45.0333 0H56V1.45526C55.7296 2.38447 55.1035 3.21571 54.1791 3.73771L40.7752 11.2893C40.0579 11.695 39.2584 11.8555 38.4909 11.7931C36.4442 11.646 34.8361 9.97872 34.8407 7.95039V0H42.7305V1.29925L45.0333 0Z' fill='%23EFF3F6'/%3E%3Cpath d='M20.5185 0H28.4083V7.95039C28.4083 9.97872 26.8002 11.646 24.758 11.7931C23.9905 11.8555 23.1911 11.695 22.4692 11.2893L9.06072 3.73771C7.66896 2.95181 6.95333 1.46735 7.11184 0L18.2143 0L20.5185 1.29925V0Z' fill='%23EFF3F6'/%3E%3Cpath d='M56 38.5336V40.6551C55.9129 40.952 55.7877 41.2433 55.6227 41.5226C54.5354 43.3637 52.1233 43.9967 50.2365 42.9268L42.7305 38.7007V47.1484C42.7305 49.2748 40.967 51 38.7833 51C36.5996 51 34.8407 49.2793 34.8407 47.1484V32.0452C34.8407 30.0168 36.4442 28.3496 38.4909 28.2069C39.2584 28.1445 40.0533 28.3005 40.7752 28.7107L54.1791 36.2534C55.1038 36.7743 55.7292 37.6052 56 38.5336Z' fill='%23EFF3F6'/%3E%3Cpath d='M56 30.1387L43.9137 23.33C43.0183 22.8218 42.397 22.0283 42.1229 21.1323C41.9904 20.7222 41.931 20.2987 41.9447 19.8796C41.9538 19.5765 41.9995 19.2734 42.0817 18.9702C42.3513 18.0296 42.9772 17.1871 43.9091 16.6566L56 9.85109V18.7524L53.7816 20.0045L56 21.2525V30.1387Z' fill='%23EFF3F6'/%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M33.1366 26.9097L38.7102 21.48C38.8701 21.324 38.998 21.0164 38.998 20.8024V19.202C38.998 18.9791 38.8701 18.6716 38.7102 18.5155L33.1366 13.0858C32.9767 12.9254 32.6661 12.8005 32.4377 12.8005H30.7976C30.5737 12.8005 30.2585 12.9254 30.0986 13.0858L24.5296 18.5155C24.3697 18.6716 24.2418 18.9791 24.2418 19.202V20.8024C24.2418 21.0208 24.3697 21.3284 24.5296 21.48L30.1032 26.9097C30.2631 27.0702 30.5783 27.1995 30.8022 27.1995H32.4377C32.6707 27.1995 32.9767 27.0702 33.1366 26.9097ZM33.959 19.2867C34.1189 19.4472 34.2559 19.7548 34.2559 19.9733V20.0357C34.2559 20.2541 34.1189 20.5572 33.959 20.7133L32.3463 22.2869C32.1864 22.4429 31.8712 22.5722 31.6473 22.5722H31.5834C31.3595 22.5722 31.0489 22.4429 30.889 22.2869L29.2763 20.7133C29.1164 20.5572 28.993 20.2541 28.993 20.0357V19.9733C28.993 19.7548 29.1164 19.4472 29.2763 19.2867L30.889 17.7176C31.0443 17.5615 31.3595 17.4323 31.5834 17.4323H31.6473C31.8757 17.4323 32.1864 17.5615 32.3463 17.7176L33.959 19.2867Z' fill='%23EFF3F6'/%3E%3Cpath d='M22.4692 28.7107C23.1865 28.3005 23.986 28.1445 24.758 28.2069C26.8002 28.3496 28.4083 30.0168 28.4037 32.0452V47.1484C28.4037 49.2748 26.6357 51 24.4611 51C22.2774 51 20.5139 49.2793 20.5139 47.1484V38.7007L13.0033 42.9268C11.1211 43.9922 8.70895 43.3592 7.61708 41.5226C6.52978 39.6815 7.17394 37.3188 9.06072 36.2534L22.4692 28.7107Z' fill='%23EFF3F6'/%3E%3Cpath d='M21.2997 19.8796C21.3088 20.2987 21.254 20.7222 21.1215 21.1323C20.8383 22.0283 20.2261 22.8263 19.317 23.33L5.9176 30.8861C4.02625 31.9471 1.61866 31.3185 .531358 29.4819C-.560511 27.6363 .0836459 25.2826 1.975 24.2171L9.46732 20.0045L1.97957 15.7784C.0882144 14.713 -.560511 12.3637 .535926 10.5226C1.61866 8.67702 4.03082 8.04846 5.92217 9.10943L19.3215 16.6566C20.2627 17.1871 20.8931 18.0296 21.1581 18.9702C21.2449 19.2734 21.286 19.5765 21.2997 19.8796Z' fill='%23EFF3F6'/%3E%3C/svg%3E%0A\");background-position:right top;background-repeat:no-repeat;background-size:60% auto}.lp-nav__inner .aem-Grid::before,.lp-nav__inner .aem-Grid::after{display:none}.snowflake-simplified-navigation-bar{display:none}html:not(.aem-AuthorLayer-Edit) .lp-nav{position:fixed;top:0;left:0;width:100%;z-index:5}.lp-nav{padding-top:16px;padding-bottom:16px;border-bottom:1px solid #ccc;background:#fff}.lp-nav__logo{width:140px}.lp-nav__inner.flex-container \u003E .container \u003E .cmp-container \u003E .aem-container{justify-content:space-between}.lp-nav__inner.flex-container \u003E .container \u003E .cmp-container \u003E .aem-container \u003E div{width:auto !important}@media screen and (min-width:768px){html:not(.aem-AuthorLayer-Edit) .lp-nav__mobile-button{display:none !important}}
","jsContent":"window.addEventListener('click', (e) =\u003E {\r\n    if (e.target.id === 'formBtn') {\r\n        const target = document.getElementById('form');\r\n        if (target) {\r\n            const targetPosition = target.getBoundingClientRect().top + window.pageYOffset - 120;\r\n            window.scrollTo({\r\n                top: targetPosition,\r\n                behavior: 'smooth'\r\n            });\r\n        }\r\n    }\r\n});","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"}},":itemsOrder":["image","markup_editor_copy"]}},":itemsOrder":["container"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["container"]},"container_65569746_c":{"additionalClasses":"lp-hero-dark is-new-navy-bg","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","image":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-40ce2d0ae3","appliedCssClassNames":"snowflake-container-arrow-alignment-left snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"container":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-b26958f763","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-9a63013249","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-large","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"lp-main-container","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-fd1ffe7c71","appliedCssClassNames":"snowflake-responsive-container-inner-padding-large",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container_copy":{"columnClassNames":{"title_v2_1937684021_":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_copy":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_358536":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-14da26e9c4","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2_copy_copy":{"id":"title-v2-9494307f27","additionalClasses":"lp-hero__eyebrow","type":"heading6","lines":["글로벌 연구"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment white-blue-text-color snowflake-responsive-component-top-padding-extra-small"},"title_v2_copy_358536":{"id":"title-v2-aa384bf3dd","type":"heading1","lines":["2026 생성형 AI와 ","에이전트의 ROI"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-white-text-color"},"title_v2_1937684021_":{"id":"title-v2-cf708018ea","type":"heading4","lines":["에이전트로 확장되는 생성형 AI 성과"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment white-blue-text-color"}},":itemsOrder":["title_v2_copy_copy","title_v2_copy_358536","title_v2_1937684021_"]},"flexible_column_cont":{"id":"flexible-column-container-995a314556","type":"2-column-even","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-ebdc28f43e",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"image":{"id":"image-6eaef9c5f9","alt":"The ROI of Gen AI and Agents 2026 Report","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--225b9c6d-1d77-4a78-b816-bc4fa91d5fcc/radical-roi-of-gen-ai-2026.png?quality=85&preferwebp=true","width":"2655","height":"1785",":type":"snowflake-site/components/image"}},":itemsOrder":["image"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-f8b3d4246d",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"columnClassNames":{"title_v2_copy_358536":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-f8018caa08","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2_copy_358536":{"id":"title-v2-71ce83e125","type":"heading5","lines":["Omdia는 전 세계에서 AI 시스템의 전략 수립, 도입 및 최적화를 실제로 주도하고 있는 전문가 2,050명을 대상으로 설문조사를 실시했습니다. 이번 글로벌 연구를 통해 확인한 내용은 다음과 같습니다."],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment white-blue-text-color"},"text":{"id":"text-d996885aa0","additionalClasses":"list--blue-bullets","text":"\u003Cul\u003E\n\u003Cli\u003E생성형 AI의 ROI 증가: 전년 대비 20% 상승\u003C/li\u003E\n\u003Cli\u003E성공적인 조직조차 직면하는 주요 과제\u003C/li\u003E\n\u003Cli\u003EAI 에이전트에 대한 초기 도입 움직임과 높아지는 관심도\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-03"}},":itemsOrder":["title_v2_copy_358536","text"]}},":itemsOrder":["container"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["container_copy","flexible_column_cont"]},"flexible_column_content_container_2":{"additionalClasses":"animated-element","layout":"SIMPLE","id":"heroForm",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{},":itemsOrder":[]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["flexible_column_cont"]},"image":{"id":"image-df33cdd9ea","additionalClasses":"lp-hero__bg-image","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--16eda4d9-c42b-45b2-927c-83604b115dd9/roi-gen-ai-26-hero-.png?quality=85&preferwebp=true","width":"1461","height":"1080",":type":"snowflake-site/components/image"}},":itemsOrder":["container","image"]},"container_copy":{"columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","container_1545902728":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-d551917dd9","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"container":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-22f8e79898","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-2ed5316c4d","propertiesId":"lpBody","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":true,"carouselOnMobile":false,"propertiesCSSClasses":"longform-lp-grid","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"left-col list--blue-bullets","layout":"SIMPLE","id":"container-3dc27f87e4","appliedCssClassNames":"snowflake-responsive-container-inner-padding-none",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container_copy":{"additionalClasses":"list--blue-bullets","columnClassNames":{"title_v2_copy":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-85d0ada9d1","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2_copy":{"id":"title-v2-8ad9771681","type":"heading2","lines":["생성형 AI 도입 확대와  ","ROI의 동반 상승"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color"},"text_copy":{"id":"text-714f44d007","text":"\u003Cp\u003E생성형 AI의 가치에 대한 다양한 논의가 이어지는 가운데, 실제로 많은 조직이 성과를 보고하고 있습니다.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E초기 도입 기업의 92%가 생성형 AI 투자에서 긍정적인 수익을 거둔 것으로 나타났습니다. \u003C/li\u003E\r\n\u003Cli\u003E또한 비기술 중심 조직의 C레벨 응답자 중 75%는 측정 가능한 ROI를 확보했다고 답했습니다.\u003C/li\u003E\r\n\u003Cli\u003E한편 96%의 조직은 여전히 중요한 과제에 직면해 있다고 응답했으며, 주요 요인으로는 데이터 품질 및 양(40%), 직원 역량(35%), 기존 시스템과의 통합(31%)이 꼽혔습니다.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E결론적으로, 생성형 AI는 실제로 성과를 내고 있으며, 조직의 투자 확대와 함께 ROI도 확인되고 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"flexible_column_cont":{"id":"flexible-column-container-019d30f305","type":"2-column-25-75","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"extra-small","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"stat-callout","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-4ca17a3dd7",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-82506da4aa","type":"display2","lines":["40%"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"center blue-black-text-color"}},":itemsOrder":["title_v2"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-4a15dcf6c9",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text":{"id":"text-30382dac3a","text":"\u003Cp\u003E생성형 AI 투자에 대한 ROI를 수치로 산정한 응답자 중, 1달러 투자당 1.49달러의 수익을 보고한 응답자의 비율\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["text"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["title_v2_copy","text_copy","flexible_column_cont"]},"container_copy_copy":{"additionalClasses":"border-top-blue","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont_432975388":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-732260d1e0","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-43fc91f45a","type":"heading2","lines":["빠르게 확산되는","엔터프라이즈 에이전트"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color snowflake-responsive-component-top-padding-medium"},"text":{"id":"text-e853dfc0f3","text":"\u003Cp\u003E에이전틱 AI 솔루션은 아직 널리 확산되지 않았고 기술적으로도 그리 복잡한 수준은 아니지만, 본 연구에 따르면 생성형 AI를 초기에 도입한 기업들 사이에서는 에이전트가 빠르게 확산되고 있습니다. \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E응답자의 32%가 이미 프로덕션 환경에서 에이전틱 솔루션을 운영 중입니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E경영진은 향후 12개월 내 에이전틱 투자에서 최대 47%의 수익을 기대하고 있으며, 이는 현재까지의 생성형 AI 성과와 유사한 수준입니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E여러 생성형 AI 활용 사례를 보유 중인 조직의 44%는 이미 에이전틱 AI를 함께 활용하고 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E생성형 AI의 초기 도입 기업들이 그간의 학습 내용을 바탕으로 에이전틱 단계로 진입하는 것은 자연스러운 수순입니다. 이는 기술 선도 조직들이 경쟁사 대비 의미 있는 격차를 벌릴 수 있다는 점에서 주목할 만합니다. 자세한 내용은 전체 보고서를 통해 확인할 수 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"flexible_column_cont_432975388":{"id":"flexible-column-container-0da9d7f562","type":"1-column","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"extra-small","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"stat-callout","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-7c6a0c668a",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text":{"id":"text-399069d1d6","text":"\u003Cp\u003E이미 AI 에이전트를 활용 중인 조직에서 가장 일반적인 활용 사례\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"image":{"id":"image-a50ef2e9ce","alt":"percentage of orgs already using AI agents","lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--480e2197-b34b-43fd-b62c-013e31355dbc/radical-roi-enterprise-agents-graph.png?quality=85&preferwebp=true","width":"1497","height":"573",":type":"snowflake-site/components/image"}},":itemsOrder":["text","image"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["title_v2","text","flexible_column_cont_432975388"]},"container_copy_copy_":{"additionalClasses":"border-top-blue","columnClassNames":{"flexible_column_cont_1960144905":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-16d4a812d9","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-e7066d1324","type":"heading2","lines":["생성형 AI가 일자리와 생산성에 ","미치는 영향에 대한 엇갈린 신호"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color snowflake-responsive-component-top-padding-medium"},"text":{"id":"text-a0135e0601","text":"\u003Cp\u003E생성형 AI와 에이전틱 AI가 인간의 일자리를 대체할 것이라는 우려가 있지만, 실제 영향은 보다 복합적으로 나타나고 있습니다. 지난 1년간 생성형 AI로 인해 가장 많은 일자리 감소가 나타난 부문은 IT 운영(40%), 고객 서비스/지원(37%), 데이터 분석(37%)이었습니다. 그러나 이것이 전부는 아닙니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E응답자의 42%는 생성형 AI로 인해 일자리만 증가했다고 답했습니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E11%는 일자리 감소만 발생했다고 응답했습니다. \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E35%는 일자리 증가와 감소가 모두 발생했다고 밝혔습니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E13%는 AI 기반 자동화가 고용에 영향을 미치지 않았다고 답했습니다. \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E직급별 영향 등 더 자세한 내용은 보고서를 통해 확인할 수 있습니다.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"flexible_column_cont_1960144905":{"id":"flexible-column-container-8ea318857e","type":"2-column-25-75","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"small","bottomPadding":"small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"stat-callout","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-f0bc4cd786",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"image":{"id":"image-3e1d785a9a","alt":"69%","lazyEnabled":true,"src":"https://www.snowflake.com/content/snowflake-site/global/ko/lp/radical-roi-generative-ai/_jcr_content/root/responsivegrid/container_copy/container/flexible_column_cont/flexible_column_content_container_1/container_copy_copy_/flexible_column_cont_1960144905/flexible_column_content_container_1/image.coreimg.svg/1775712432348/radical-roi-of-gen-ai-sixtynine-percent.svg",":type":"snowflake-site/components/image"}},":itemsOrder":["image"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-e67e33bba8",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text":{"id":"text-36f74af0b4","text":"\u003Cp\u003EAI로 인한 일자리 증가와 감소를 모두 경험한 기업 중 순고용 증가를 보고한 기업의 비율\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["text"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["title_v2","text","flexible_column_cont_1960144905"]},"container_copy_copy__1099993454":{"additionalClasses":"border-top-blue","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-2b6682b002","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-16fce8c3c0","type":"heading2","lines":["초기 도입 사례에서 드러난","모범 사례와 주요 함정"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color snowflake-responsive-component-top-padding-medium"},"text":{"id":"text-fa4d3fd7cf","text":"\u003Cp\u003E최근 AI 열풍이 에이전틱 AI 중심으로 선회하고 있다고 해서 생성형 AI 기술이 다루기 쉬워졌다는 뜻은 아닙니다. 설문조사에 참여한 거의 모든 조직이 생성형 AI를 통해 가치를 창출하고 있다고 답했으나, 동시에 96%는 여전히 다음과 같은 중요한 과제에 직면해 있다고 밝혔습니다. \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E데이터 품질 및 양(40%)\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E직원의 전문 지식 또는 기술(35%)\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E기존 또는 레거시 시스템과의 통합(31%)\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E확장성 및 성능(27%)\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E특히 중견 기업의 경우 인재 역량이 더 큰 과제로 나타났습니다. 43%가 이를 문제로 꼽은 반면, 엔터프라이즈 기업에서는 34%가 해당 과제를 지적했습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"},"container":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-9b68aedf03","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-173bf219d5","type":"2-column-25-75","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"small","bottomPadding":"small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"stat-callout","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-3bd557bb07",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"image":{"id":"image-12a0392f2a","alt":"4%","lazyEnabled":true,"src":"https://www.snowflake.com/content/snowflake-site/global/ko/lp/radical-roi-generative-ai/_jcr_content/root/responsivegrid/container_copy/container/flexible_column_cont/flexible_column_content_container_1/container_copy_copy__1099993454/container/flexible_column_cont/flexible_column_content_container_1/image.coreimg.svg/1775712432609/radical-roi-of-gen-ai-four-percent.svg",":type":"snowflake-site/components/image"}},":itemsOrder":["image"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-e0886e6944",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text":{"id":"text-2e26e159d9","text":"\u003Cp\u003E생성형 AI 도입 과정에서 아무런 문제를 겪지 않았다고 답한 응답자의 비율\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"}},":itemsOrder":["text"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["title_v2","text","container"]},"container_copy_copy__222148415":{"additionalClasses":"border-top-blue","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-91b9066c24","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-fabcdb65b2","type":"heading2","lines":["더 빠르고 스마트하게, 더 나은 성과로","AI의 활용 방식과 주요 적용 영역"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color snowflake-responsive-component-top-padding-medium"},"text":{"id":"text-4412978645","text":"\u003Cp\u003E생성형 AI와 에이전트를 가장 활발히 도입하고 있는 조직은 IT 운영(62%), 데이터 분석(59%), 사이버 보안(53%), 소프트웨어 개발(50%), 고객 서비스(49%) 부문으로 나타났습니다. 주요 도입 목적은 다음과 같습니다. \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E운영 효율성 향상: 51%가 이를 핵심 목표로 꼽았으며, 전체 응답자의 88%가 실질적인 성과를 보고했습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E혁신 역량 강화: 44%가 이를 주요 목표로 언급했으며, 83%가 측정 가능한 개선을 경험했다고 답했습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E고객 경험(CX) 개선: 40%가 이를 목표로 설정했으며, 84%가 달성했다고 밝혔습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E전체 보고서에서는 주요 비즈니스 및 IT 조직이 생성형 AI를 어떻게 활용하고 있는지, 실제로 성과를 내고 있는지에 대해 보다 자세히 다루고 있습니다. 그리고 결론부터 말씀드리면, 이는 분명한 성과로 이어지고 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1360230345":{"additionalClasses":"border-top-blue","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-b1436b64d1","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"title_v2":{"id":"title-v2-008f7b4445","type":"heading2","lines":["글로벌 및 산업별 관점:","생성형 AI 성과를 좌우하는 디테일"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment blue-black-text-color snowflake-responsive-component-top-padding-medium"},"text":{"id":"text-f72c06d85b","text":"\u003Cp\u003E이번 보고서에서는 10개 국가와 6개 산업을 기준으로 주요 인사이트를 분석했으며, 그 핵심 내용은 다음과 같습니다. \u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E캐나다 기업은 고객 활용 사례에 적극적으로 집중하고 있으며, 54%가 고객 서비스 및 지원에 생성형 AI를 적용하고 있습니다(글로벌 평균 48%). \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E프랑스 기업은 생성형 AI ROI 확보에 어려움을 겪고 있으며, ROI를 수치화한 비율은 32%로 글로벌 평균(49%)보다 낮습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E금융 서비스 기업은 운영 효율성보다 재무 성과 개선을 더 중요한 도입 동기로 보고 있으며, 44%가 이를 주요 요인으로 꼽았습니다(타 산업 평균 29%).\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E제조 기업은 직원 역량 및 경험 부족을 주요 문제로 지적할 가능성이 더 높았으며, 41%가 이를 언급했습니다(평균 34%).\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E국가 및 산업별 ROI 수준, 에이전트 도입 속도, 섀도우 AI 활용 등 다양한 관점에서 파악한 상세 인사이트는 보고서를 통해 확인할 수 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-extra-small"}},":itemsOrder":["title_v2","text"]}},":itemsOrder":["container_copy","container_copy_copy","container_copy_copy_","container_copy_copy__1099993454","container_copy_copy__222148415","container_copy_copy__1360230345"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"form","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"marketo_v2_copy":{"id":"marketo-v2-94e5bf9943","marketoForm":{"successUrl":"form.onSuccess(function(values, followUpUrl) {\nlocation.href = \"\\/ko\\/lp\\/radical-roi-generative-ai\\/thankyou\\/\";\nreturn false;\n});","edit":false,"formId":"57537","hidden":null,"script":null,"values":null},"title":{"id":"title","type":"heading3","lines":["eBook 다운로드"],":type":"snowflake-site/components/title-v2"},"munchkinId":"252-RFO-227","serverInstance":"252-RFO-227.mktoweb.com","marketoConfigured":true,"formConfigured":true,":type":"snowflake-site/components/form/marketo-v2"}},":itemsOrder":["marketo_v2_copy"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["flexible_column_cont"]},"container_1545902728":{"additionalClasses":"methodology","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-67c5062de4","appliedCssClassNames":"ui-background-05 snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"container":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-9828d50c1f","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-4b036862ea","propertiesId":"methodology","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-large","bottomPadding":"extra-large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-8222ceef15","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-0410ebc417","type":"heading3","lines":["방법론"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-0a180e4504","text":"\u003Cp\u003EInforma TechTarget 산하의 Omdia는 본 보고서를 작성하기 위해 2025년 8월 13일부터 2025년 9월 17일까지 포괄적인 온라인 설문조사를 실시했습니다. 이 설문조사의 응답자는 모두 직원 500명 이상을 두고 있는 조직의 대표자로서 이 중 약 34%는 직원 5,000명 이상의 조직을, 49%는 직원 1,000~4,999명 규모의 조직을, 그리고 17%는 직원 500~999명 규모의 기업을 대표합니다. \u003C/p\u003E\r\n\u003Cp\u003E본 보고서와 이를 뒷받침하는 연구의 목적은 엔터프라이즈 조직이 생성형 AI 기술을 통해 겪고 있는 경험을 더 잘 이해하는 것입니다. 본 연구는 여러 측면에서 2025년 연구 보고서의 연장선상에 있으며, LLM의 사용 사례, 이점, 당면 과제, ROI, 미래 전망 등을 심도 있게 다루고 있습니다. 또한 조직들이 비즈니스 프로세스 자동화를 더욱 확대하기 위해 에이전틱 AI 솔루션으로 전환하는 흐름에 맞춰 기존 연구를 넘어 새로운 영역까지 다루고 있습니다. 이러한 인사이트의 상당수는 프로덕션 환경에서 생성형 AI를 실제 사용해 본 경험이 있는 조직들을 대상으로 한 조사에서만 도출될 수 있습니다. 이에 따라 본 설문조사는 현재 프로덕션 환경에서 비즈니스 프로세스를 실행 및 증강하기 위해 생성형 AI를 활발히 사용 중인 조직들에 한정해 진행되었습니다. \u003C/p\u003E\r\n\u003Cp\u003E또한 본 연구를 통해 기업들이 현재까지 생성형 AI를 얼마나 폭넓게 도입했는지에 대한 유의미한 관찰이 가능했습니다. 설문조사에 참여한 총 3,479명의 응답자 중 59%가 이미 조직 내 다수의 사용 사례(39%) 또는 초기 단계의 사용 사례(20%)에 생성형 AI를 활용 중이라고 답했습니다. 반면, AI 도입 계획이나 관심이 전혀 없다고 답한 조직은 2%에 불과했습니다.\u003C/p\u003E\r\n\u003Cp\u003E이러한 결과는 1년 전 조사 결과와도 놀라울 정도로 일관된 양상을 보이며, 생성형 AI가 새로운 엔터프라이즈 기술에서 흔히 나타나는 과열-침체-회복의 전형적인 도입 주기를 벗어나 있음을 시사합니다. Snowflake는 이처럼 견고한 도입 추세의 이면에 두 가지 동력이 작용하고 있다고 분석합니다. 첫째는 사용자들이 일상적인 디지털 경험 속에 생성형 AI를 자연스럽게 통합하고 있다는 점이며, 둘째는 다양한 사용 사례를 통해 엔터프라이즈 환경 전반에서 실질적이고 가시적인 성과가 입증되고 있다는 점입니다. 결과적으로, 생성형 AI가 사용자 개개인의 삶에 미친 광범위한 영향과 기업 내 업무 효율성과 생산성 향상에 기여한 실질적인 성과가 맞물리면서, 현실이 기대에 못 미칠 때 흔히 나타나는 사용량 감소나 투자 위축을 완화하고 있는 것으로 보입니다.\u003C/p\u003E\r\n\u003Cp\u003E설문조사에 참여한 2,050명의 응답자의 소속 부서는 IT 및 사이버 보안(49%), 소프트웨어 개발(16%), 데이터 운영(9%), 그리고 기타 사업부(예: 마케팅, 고객 지원, 제조 등 25%)로 구성되었으며, 소속 조직의 향후 AI 도입 의사 결정에 영향력을 행사할 수 있는 응답자에게만 참여 자격이 주어졌습니다. 직급은 최고경영진부터 선임 실무자까지 다양했습니다. 또한, 미국(41%), 캐나다(7%), 영국(7%), 프랑스(7%), 독일(7%), 호주 및 뉴질랜드(7%), 일본(7%), 싱가포르(7%), 인도(7%) 등 다양한 국가에서 설문에 참여했습니다. 이 표본의 오차 범위는 95% 신뢰 수준에서 ±2%p이며 본 보고서의 그림과 표에 제시된 수치의 총합은 반올림으로 인해 정확히 100%가 되지 않을 수 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"}},":itemsOrder":["title_v2","text"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["container"]}},":itemsOrder":["container","container_1545902728"]},"markup_editor":{"id":"markup-editor-14fcec8410","title":"Page CSS","cssContent":".lp-nav__inner .aem-Grid::before,.lp-nav__inner .aem-Grid::after{display:none}.snowflake-simplified-navigation-bar{display:none}html:not(.aem-AuthorLayer-Edit) .lp-nav{position:fixed;top:0;left:0;width:100%;z-index:5}.lp-nav{padding-top:16px;padding-bottom:16px;border-bottom:1px solid #ccc;background:#fff}.lp-nav__logo{width:140px}.lp-nav__inner.flex-container \u003E .container \u003E .cmp-container \u003E .aem-container{justify-content:space-between}.lp-nav__inner.flex-container \u003E .container \u003E .cmp-container \u003E .aem-container \u003E div{width:auto !important}@media screen and (min-width:768px){html:not(.aem-AuthorLayer-Edit) .lp-nav__mobile-button{display:none !important}}.methodology-text.snowflake-text li{margin-top:12px}.methodology-text.snowflake-text ul ul{margin-bottom:var(--spacing-02) !important}.methodology-text.snowflake-text ul{margin-top:var(--spacing-02) !important}.stat-callout{overflow:hidden;background-color:var(--ui-background-05);padding-left:24px;padding-right:24px}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"}},":itemsOrder":["container_882109576","container_65569746_c","container_copy","markup_editor"],":type":"wcm/foundation/components/responsivegrid"},"modal_container":{"layout":"SIMPLE","id":"container-3dfca80ca4",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-84622e8a53","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/ko/site/footer/resource/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"additionalClasses":"sf-footer","columnClassNames":{"markup_editor_copy_c":"aem-GridColumn aem-GridColumn--default--12","container_573483281_":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-7ac4355674",":type":"snowflake-site/components/container",":items":{"container_573483281_":{"additionalClasses":"sf-footer__bottom","columnClassNames":{"container_112062425":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-a2c1931196","appliedCssClassNames":"snowflake-responsive-container-inner-padding-none",":type":"snowflake-site/components/container",":items":{"container_112062425":{"columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-514328f770","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":type":"snowflake-site/components/container",":items":{"flexible_column_cont":{"id":"flexible-column-container-a5bfd1ec2e","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-0420afc58c",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sf-footer__legal-container","columnClassNames":{"text_copy_copy_16360_2109187328":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-7e29e68222","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small snowflake-responsive-container-inner-padding-none",":type":"snowflake-site/components/container",":items":{"text_copy_copy_16360_2109187328":{"id":"text-51029c255d","additionalClasses":"sf-footer__legal-links","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/legal/privacy/privacy-policy/\"\u003E개인정보 처리방침\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/snowflake-site-terms/\"\u003E사이트 이용 약관\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://info.snowflake.com/2024-Preference-center.html\"\u003E이메일 수신 설정\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Cbutton id=\"ot-sdk-btn\" class=\"ot-sdk-show-settings\"\u003E쿠키 설정\u003C/button\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/legal/privacy/privacy-policy/#12\"\u003E개인 정보를 공유하지 않습니다.\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/ko/legal/\"\u003E법률\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E© 2026 Snowflake Inc. All Rights Reserved ㅣ 스노우플레이크코리아 유한회사 ㅣ 대표자: 마이클파스콸스카펠리 ㅣ 주소: 서울특별시 강남구 테헤란로 142, 5층(역삼동) ㅣ 사업자등록번호: 523-87-02399\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-04 snowflake-responsive-component-top-padding-extra-small snowflake-responsive-component-bottom-padding-extra-small"},"markup_editor":{"id":"markup-editor-4ada6ed3cd","title":" ","htmlContent":"\u003Cdiv class=\"sf-footer__social\"\u003E\r\n\u003Cdiv data-testid=\"snowflake-footer-twitter\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://x.com/Snowflake\" data-testid=\"button-external\" aria-label=\"X (Twitter)\" role=\"button\" class=\"snowflake-button-container\" title=\"X (Twitter)\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"none\" viewBox=\"0 0 59 53\" class=\"button-icon\"\u003E\u003Cpath fill=\"currentColor\" d=\"M46.614 0h9.044L35.8 22.49 59 53H40.795L26.54 34.46 10.223 53H1.18l21.036-24.055L0 0h18.657l12.878 16.937zM43.45 47.72h5.013L16.023 5.085h-5.387z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\u003Cdiv data-testid=\"snowflake-footer-linkedin\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://www.linkedin.com/company/3653845\" data-testid=\"button-external\" aria-label=\"LinkedIn\" role=\"button\" class=\"snowflake-button-container\" title=\"LinkedIn\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"button-icon\"\u003E\u003Cpath d=\"M22.223 0H1.772C.792 0 0 .773 0 1.73v20.536C0 23.222.792 24 1.772 24h20.451c.98 0 1.777-.778 1.777-1.73V1.73C24 .773 23.203 0 22.223 0ZM7.12 20.452H3.558V8.995H7.12v11.457ZM5.34 7.434a2.064 2.064 0 1 1 0-4.125 2.063 2.063 0 0 1 0 4.125Zm15.112 13.018h-3.558v-5.57c0-1.326-.024-3.037-1.852-3.037-1.851 0-2.133 1.449-2.133 2.944v5.663H9.356V8.995h3.413v1.566h.047c.473-.9 1.636-1.852 3.365-1.852 3.605 0 4.27 2.372 4.27 5.457v6.286Z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\u003Cdiv data-testid=\"snowflake-footer-facebook\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://www.facebook.com/snowflakedb/\" data-testid=\"button-external\" aria-label=\"Facebook\" role=\"button\" class=\"snowflake-button-container\" title=\"Facebook\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"button-icon\"\u003E\u003Cpath d=\"M24 12c0-6.627-5.373-12-12-12S0 5.373 0 12c0 5.99 4.388 10.954 10.125 11.854V15.47H7.078V12h3.047V9.356c0-3.007 1.792-4.668 4.533-4.668 1.312 0 2.686.234 2.686.234v2.953H15.83c-1.491 0-1.956.925-1.956 1.875V12h3.328l-.532 3.469h-2.796v8.385C19.612 22.954 24 17.99 24 12Z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\u003Cdiv data-testid=\"snowflake-footer-youtube\" class=\"snowflake-button-icon snowflake-button-white snowflake-footer-social-item\"\u003E\u003Cdiv class=\"snowflake-button-icon \"\u003E\u003Ca href=\"https://www.youtube.com/user/snowflakecomputing\" data-testid=\"button-external\" aria-label=\"YouTube\" role=\"button\" class=\"snowflake-button-container\" title=\"YouTube\" tabindex=\"0\" target=\"_blank\" rel=\"noreferrer\"\u003E\u003Cdiv data-testid=\"button-icon-wrapper\"\u003E\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" fill=\"currentColor\" viewBox=\"0 0 24 24\" class=\"button-icon\"\u003E\u003Cpath d=\"M23.76 7.2s-.233-1.655-.955-2.381c-.914-.956-1.936-.961-2.405-1.017-3.356-.244-8.395-.244-8.395-.244h-.01s-5.039 0-8.395.244c-.469.056-1.49.06-2.405 1.017C.473 5.545.244 7.2.244 7.2S0 9.145 0 11.086v1.819c0 1.94.24 3.886.24 3.886s.233 1.654.95 2.38c.915.957 2.115.924 2.65 1.027 1.92.183 8.16.24 8.16.24s5.044-.01 8.4-.249c.469-.056 1.49-.06 2.405-1.017.722-.727.956-2.381.956-2.381S24 14.85 24 12.905v-1.819c0-1.94-.24-3.886-.24-3.886ZM9.52 15.113V8.367l6.483 3.385-6.483 3.36Z\"\u003E\u003C/path\u003E\u003C/svg\u003E\u003C/div\u003E\u003C/a\u003E\u003Cdiv\u003E\u003C/div\u003E\u003C/div\u003E\u003C/div\u003E\r\n\u003C/div\u003E","cssContent":".sf-footer #ot-sdk-btn.ot-sdk-show-settings,.sf-footer #ot-sdk-btn.optanon-show-settings{color:rgba(255,255,255,.7) !important;text-underline-offset:4px;border-top:none;border-left:none;border-right:none;border-bottom:1px dotted transparent;background-color:transparent !important;background-image:none !important;transition:300ms ease text-decoration-color;padding:0 !important;font-size:12px;font-family:'Lato',sans-serif}.sf-footer #ot-sdk-btn.ot-sdk-show-settings:hover,.sf-footer #ot-sdk-btn.optanon-show-settings:hover{color:rgba(255,255,255,1) !important;border-bottom:1px dotted var(--ui-01);transition:300ms ease text-decoration-color}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:last-child{flex-shrink:0}.sf-footer__social{display:flex;justify-content:center;gap:12px}.sf-footer .snowflake-footer-social-item{margin:0 !important}.sf-footer .snowflake-footer-social-item a{line-height:0;background-color:rgba(3,24,35,.8);display:inline-block;width:48px !important;height:48px;border-radius:8px;display:inline-flex;justify-content:center;align-items:center;transition:300ms ease background-color}.sf-footer .snowflake-footer-social-item a:hover .button-icon{color:#fff !important}.sf-footer .snowflake-footer-social-item a:hover{background-color:var(--ui-01) !important;transition:300ms ease background-color}.sf-footer__bottom{padding-bottom:40px}.sf-footer{background-color:#042130}.sf-footer .optanon-toggle-display:hover{text-decoration-color:var(--ui-01) !important;cursor:pointer !important;text-underline-offset:4px;text-decoration-style:dotted !important;text-decoration-color:var(--ui-01);color:#fff !important;transition:300ms ease text-decoration-color;text-decoration:underline;opacity:1}.sf-footer-grid__inner\u003E.container\u003E.cmp-container\u003E.aem-container{row-gap:32px}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-direction:column;justify-content:center;align-items:center;text-align:center;row-gap:16px}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv:nth-child(2){text-align:center;flex-grow:1}.sf-footer__legal-links li button,.sf-footer__legal-links li a,.sf-footer__legal-links li{margin:0;color:rgba(255,255,255,.7) !important;font-weight:500}.sf-footer__legal-links li a:hover{color:rgba(255,255,255,1) !important}.sf-footer div.sf-footer__copyright p,.sf-footer div.sf-footer__legal-links li,.sf-footer div.sf-footer__legal-links a,.sf-footer div.sf-footer__legal-links p{font-size:12px !important}.sf-footer__legal-links ul{list-style-type:none;margin:0;padding:0;display:flex;gap:20px;row-gap:12px;justify-content:center;flex-wrap:wrap;text-align:center}.sf-footer__legal-links li:last-child{width:100%}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container{text-align:right;flex-wrap:nowrap}.sf-footer__legal-links.align-left ul{justify-content:flex-start}.sf-footer__legal-container\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:auto}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"}},":itemsOrder":["text_copy_copy_16360_2109187328","markup_editor"]}},":itemsOrder":["container"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["container_112062425"]},"markup_editor_copy_c":{"id":"markup-editor-d711db1cf0","title":"New css","cssContent":"body.resource-page .snowflake-simplified-lead-space-background-image__image{display:none !important}body.resource-page .snowflake-simplified-lead-space .snowflake-simplified-lead-space-background-image__inner{background-size:cover;background-repeat:no-repeat;background-position:center;background-image:url(https://publish-p57963-e462109.adobeaemcloud.com/adobe/dynamicmedia/deliver/dm-aid--e7111785-7144-43f8-a984-3d45608df815/default-simplified-lead-space.png)}.snowflake-container-arrow-large-gray-image{color:var(--divider-01);opacity:.2}.snowflake-card-v2-advanced-link:hover,.snowflake-card-v2-advanced-with-wistia:hover,.snowflake-customer-details-card{box-shadow:0 10px 20px 0 rgba(152,162,179,.1),0 2px 6px 0 rgba(152,162,179,.25)}.sf-footer .mktoFormRow .mktoHtmlText span{font-family:'Lato',sans-serif !important}.snowflake-button-primary.snowflake-button-blue .snowflake-button-container{justify-content:center}.related-chip-25{background-color:#fff;border:1px solid rgba(204,204,204,.5);border-radius:8px;padding:20px;position:relative}.related-chip-25:hover{box-shadow:rgba(152,162,179,.1) 0 10px 20px 0}.related-chip-25:hover::after{right:24px;transition:300ms ease right}.related-chip-25::after{content:'';display:block;transition:300ms ease right;background-image:url(\"data:image/svg+xml,%3Csvg width='8' height='14' viewBox='0 0 8 14' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7.66699 7C7.66699 6.6571 7.53559 6.32825 7.30169 6.08578L2.34446 .947072C1.84529 .429617 1.0164 .429617 .517219 .947072C.0427878 1.43887 .042788 2.21798 .517219 2.70978L4.65591 7L.51722 11.2902C.0427889 11.782 .0427887 12.5611 .51722 13.0529C1.0164 13.5704 1.84529 13.5704 2.34447 13.0529L7.30169 7.91421C7.53559 7.67175 7.66699 7.34289 7.66699 7Z' fill='%2329B5E8'/%3E%3C/svg%3E%0A\");width:8px;height:14px;display:block;position:absolute;right:30px;top:50%;transform:translateY(-50%);background-size:contain;background-position:center;background-repeat:no-repeat}.related-chip-25 .heading-5-v2{font-size:22px;line-height:1.4}.related-chip-25 .snowflake-content-chip-image{width:48px}.related-chip-25 .snowflake-content-chip-image__image{aspect-ratio:1;height:auto;object-fit:contain}.related-chip-25 .snowflake-content-chip-button{display:none}.related-chip-25:hover::after{right:24px;transition:300ms ease right}.related-chip-25 .snowflake-content-chip-content-without-tag{flex-grow:1;padding-right:24px}.related-chip-25::after{content:'';display:block;transition:300ms ease right;background-image:url(\"data:image/svg+xml,%3Csvg width='8' height='14' viewBox='0 0 8 14' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill-rule='evenodd' clip-rule='evenodd' d='M7.66699 7C7.66699 6.6571 7.53559 6.32825 7.30169 6.08578L2.34446 .947072C1.84529 .429617 1.0164 .429617 .517219 .947072C.0427878 1.43887 .042788 2.21798 .517219 2.70978L4.65591 7L.51722 11.2902C.0427889 11.782 .0427887 12.5611 .51722 13.0529C1.0164 13.5704 1.84529 13.5704 2.34447 13.0529L7.30169 7.91421C7.53559 7.67175 7.66699 7.34289 7.66699 7Z' fill='%2329B5E8'/%3E%3C/svg%3E%0A\");width:8px;height:14px;display:block;position:absolute;right:30px;top:50%;transform:translateY(-50%);background-size:contain;background-position:center;background-repeat:no-repeat}.related-chip-25 .heading-5-v2{font-size:22px;line-height:1.1}.related-chip-25 .snowflake-content-chip-image{width:48px;flex-shrink:0}.related-chip-25 .snowflake-content-chip-image__image{aspect-ratio:1;height:auto;object-fit:contain}.related-chip-25 .snowflake-content-chip-button{display:none}.case-study-25.small-logo .snowflake-case-study-card-logo img{width:60px !important}.swiper-slide .case-study-25{width:95%;margin-left:auto;margin-right:auto}.case-study-25 .snowflake-case-study-card-logo img{width:140px !important;height:auto !important;transform:none !important;margin:24px 0 8px 0}.case-study-25 .snowflake-case-study-card-image__image{object-position:left center}.case-study-25 .snowflake-case-study-card-information-container{padding-right:24px}.case-study-25 ul{list-style-type:none;padding:0;margin:8px 0 0 0}.case-study-25 li{font-size:15px !important;line-height:1.3 !important;display:flex;flex-direction:column;border-left:4px solid var(--ui-01);padding-left:24px;margin-top:24px;color:#535862;gap:4px}.case-study-25 li b{display:block;font-family:'Texta',sans-serif;font-weight:900 !important;font-size:48px !important;line-height:.9 !important;color:var(--ui-01)}.case-study-25 .snowflake-case-study-card-description p{color:#535862}.case-study-25 .snowflake-case-study-card-description p:nth-child(2):not(:has(a)){color:#000;font-family:Texta;font-size:30px !important;line-height:1 !important;font-style:normal;font-weight:700;text-indent:-8px}.case-study-25.is-story .snowflake-case-study-card-description p:nth-child(2):not(:has(a)){text-indent:0}.case-study-25 .snowflake-case-study-card-key-card{background-color:transparent}.case-study-25 .snowflake-case-study-card-button{display:none}.case-study-25{border-radius:24px;overflow:hidden}@media screen and (min-width:1024px){.case-study-25 .snowflake-case-study-card-left-container{position:static;width:60%;min-height:0}.case-study-25 .snowflake-case-study-card-right-container::after{content:'';display:block;width:60%;max-width:340px;padding-bottom:50%;background-image:url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 22 16' class='snowflake-pushdown-banner-placeholder-arrow'%3E%3Cpath fill='%2329B5E8' fill-rule='evenodd' d='M17.865 8.756c.088-.274.124-.555.118-.834a2.551 2.551 0 0 0-1.3-2.142L7.887.76C6.645.055 5.063.475 4.35 1.7a2.535 2.535 0 0 0 .947 3.494l4.916 2.809-4.916 2.801a2.543 2.543 0 0 0-.947 3.502c.713 1.222 2.295 1.64 3.537.934l8.796-5.024a2.541 2.541 0 0 0 1.182-1.46Z' clip-rule='evenodd'%3E%3C/path%3E%3C/svg%3E\");background-size:contain;background-repeat:no-repeat;position:absolute;top:-10%;left:-20%}.case-study-25 .snowflake-case-study-card-right-container{max-width:none;width:40%;position:absolute;top:-5%;right:-5%;z-index:0;height:110%}}@media screen and (min-width:768px){.case-study-25 li{max-width:50%}.case-study-25 ul{display:flex;gap:48px}}.snowflake-text.section-eyebrow p{margin-left:auto;margin-right:auto;margin-bottom:16px !important}.snowflake-text.section-eyebrow p,.snowflake-text.eyebrow-text p{text-transform:uppercase;font-family:'Texta',sans-serif !important;font-weight:800 !important;letter-spacing:.025em;margin-bottom:12px;line-height:1.1 !important}.snowflake-title-v2.dynamic .heading-2-v2 span.snowflake-title-v2-line{font-size:clamp(2.5rem,3.5vw,4rem) !important;line-height:.85 !important}.checklist ul{padding:0;margin:0}.checklist ul li{list-style-type:none;padding-left:32px;position:relative}.checklist ul li:not(:last-child){margin-bottom:1em}.checklist ul li::before{content:'';display:inline-block;width:20px;height:20px;background-image:url(\"data:image/svg+xml,%3Csvg width='24' height='25' viewBox='0 0 24 25' fill='none' xmlns='http://www.w3.org/2000/svg'%3E%3Crect y='.985352' width='24' height='24' rx='12' fill='%23D4F0FA'/%3E%3Cpath d='M7.28613 13.2967L10.7147 16.7253L17.5718 9.86816' stroke='%2329B5E8' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'/%3E%3C/svg%3E%0A\");background-size:contain;background-repeat:no-repeat;position:absolute;top:3px;left:0}.last-line-blue .snowflake-typographyv2 .snowflake-title-v2-line:last-child{color:var(--ui-01)}.snowflake-text p sup{line-height:0}.snowflake-title-v2.lowercase .heading-3-v2{font-size:28px;line-height:1;text-transform:none;font-weight:700}.snowflake-title-v2.lowercase .heading-2-v2{font-size:32px;line-height:1;text-transform:none;font-weight:700}.content-chip-new{border:1px solid rgba(204,204,204,.5);border-radius:16px;overflow:hidden}.content-chip-new .snowflake-image-container{border-radius:0;display:none}.content-chip-new .snowflake-content-chip-image{margin-right:0;max-width:180px;flex-shrink:0}.content-chip-new .snowflake-content-chip-content{padding:24px}.content-chip-new .black-blue-text-color .snowflake-title-v2-line:first-child{font-size:24px;line-height:1.1}.content-chip-new .black-blue-text-color .snowflake-title-v2-line:not(:first-child){font-family:'Lato',sans-serif;font-size:17px;color:#535862 !important;font-weight:500;line-height:1.45;margin-top:8px;display:none}div.snowflake-text a{font-weight:normal;color:var(--ui-01);text-decoration:underline;text-underline-offset:4px;text-decoration-style:dotted !important;text-decoration-color:transparent;transition:300ms ease text-decoration-color}div.snowflake-text a:hover{text-decoration-color:var(--ui-01);transition:300ms ease text-decoration-color}.footer-nav__link-group .snowflake-button-container,.subnav__item--button,.snowflake-card-v2-advanced-button .snowflake-button-container{justify-content:flex-start}.button-container\u003E.container\u003E.cmp-container\u003E.aem-container{align-items:center}.button-container\u003E.container\u003E.cmp-container\u003E.aem-container .snowflake-button-primary+.snowflake-button-link{margin-left:12px !important}.snowflake-button-regular.snowflake-button-link .snowflake-button-container{font-size:18px !important;text-align:left;justify-content:flex-start;line-height:1.4 !important}body .snowflake-card-v2-advanced{border:1px solid rgba(204,204,204,.5);border-radius:var(--spacing-02);transition:300ms ease all}body .snowflake-card-v2-advanced:hover{transform:translateY(-10px);box-shadow:rgba(152,162,179,.1) 0 10px 20px 0;transition:300ms ease all}body .snowflake-card-v2-advanced-inner{border-bottom:none}body .snowflake-card-v2-advanced-image{line-height:0}body .snowflake-card-v2-advanced-image__image{aspect-ratio:16 / 9}body .snowflake-card-v2-advanced-content{position:relative}body .snowflake-card-v2-advanced-content::after{content:'';display:block;position:absolute;bottom:0;left:0;transition:300ms ease all;width:20%;height:4px;background-color:var(--ui-01);opacity:0}body .snowflake-card-v2-advanced:hover .snowflake-card-v2-advanced-content::after{width:100%;opacity:1;transition:300ms ease all}body .snowflake-card-v2-advanced .snowflake-button-link.snowflake-button-blue .snowflake-button-container\u003E.link-icon{transition:300ms ease transform}body .snowflake-card-v2-advanced:hover .snowflake-button-link.snowflake-button-blue .snowflake-button-container\u003E.link-icon{transform:translateX(4px);transition:300ms ease transform}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container,.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container,.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container,.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container{display:flex;flex-wrap:wrap;gap:24px}.six-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container,.three-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container,.four-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container,.five-columns.align-center\u003E.container\u003E.cmp-container\u003E.aem-container{justify-content:center}.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:100%;margin:0 !important}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(50% - 12px);margin:0 !important}@media screen and (min-width:768px){.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(50% - 12px)}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv,.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(33.333% - 16px)}}@media screen and (min-width:1024px){.snowflake-title-v2.lowercase .heading-3-v2{font-size:34px}.snowflake-title-v2.lowercase.larger .heading-2-v2{font-size:44px;line-height:.95}.three-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(33.333% - 16px)}.four-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(25% - 18px)}.five-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(20% - 19.2px)}.six-columns\u003E.container\u003E.cmp-container\u003E.aem-container\u003Ediv{width:calc(16.6666% - 20px)}.snowflake-title-v2.lowercase .heading-3-v2{font-size:28px !important}}@media screen and (min-width:1200px){.snowflake-title-v2.lowercase .heading-2-v2{font-size:40px}.content-chip-new .snowflake-content-chip-content{padding:32px}.content-chip-new .snowflake-image-container,.content-chip-new .black-blue-text-color .snowflake-title-v2-line:not(:first-child){display:block}}.promo-banner-25{border-radius:16px;overflow:hidden}.promo-banner-25 .snowflake-premium-content-banner-image-container{position:relative;max-width:380px}.promo-banner-25 .snowflake-text{color:#535862}.promo-banner-25 .snowflake-premium-content-banner-image__image{transform:translateY(8px);transition:300ms ease transform;border-radius:0;width:85%;margin:0 auto;display:block;position:relative;z-index:1}.promo-banner-25 .snowflake-premium-content-banner-image__link:hover .snowflake-premium-content-banner-image__image{transform:translateY(0);transition:300ms ease transform}.promo-banner-25 .snowflake-premium-content-banner-image__inner{height:auto;padding-top:24px}.promo-banner-25 .snowflake-premium-content-banner-image__link{position:relative;z-index:1;height:auto}.promo-banner-25 .snowflake-premium-content-banner-image__link::after{content:'';display:block;position:absolute;clip-path:polygon(0 0,66% 0,100% 100%,0 100%);bottom:0;left:0;width:100%;height:100%;background:var(--ui-01);transition:300ms ease width}.promo-banner-25 .snowflake-premium-content-banner-image__link:hover::after{width:110%;transition:300ms ease width}.sf-footer .snowflake-marketo-form .mktoFormRow .mktoFieldWrap select{background-position:95% 50%}.sf-footer__disclaimers .text-size-small .snowflake-text p{color:#fff !important;font-size:10px !important;opacity:.8}@media screen and (min-width:768px){.sf-footer__disclaimers .text-size-small .snowflake-text p{font-size:12px !important}}@media screen and (max-width:1023px){.mobile-top-padding{padding-top:64px}}@media (max-width:799px){.sf-footer .snowflake-marketo-form .mktoButtonWrap.mktoNative .mktoButton{width:100% !important}.sf-footer__logo{text-align:center;display:block;margin:0 auto}}.customer-card .snowflake-card-v2-advanced-image{aspect-ratio:4.35 / 1}.customer-card .snowflake-card-v2-advanced-image__image{width:100%;height:100%;padding-left:8px;object-fit:contain;object-position:left center;margin:0 !important;aspect-ratio:initial}.customer-card .snowflake-card-v2-advanced-image__inner{height:110px}.customer-card .snowflake-card-v2-advanced-tag-indicator{display:none}.pc-hero .snowflake-container-arrow-small-gray-image{top:-34% !important;width:18% !important}.pc-hero .snowflake-container-arrow-small-gray-image path{fill:var(--ui-01);opacity:1}@media screen and (max-width:767px){.mobile-padding-top{padding-top:64px}.hide-mobile{display:none !important}.pc-hero{padding-top:52px}.pc-hero p,.pc-hero .left-alignment .snowflake-title-v2-line,.pc-hero h1 span{text-align:center !important}}div.snowflake-pushdown-banner-button{margin-top:0}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"}},":itemsOrder":["container_573483281_","markup_editor_copy_c"]},"cq:metadata":{":type":"nt:unstructured"}},":itemsOrder":["root","cq:metadata"],"classNames":"aem-xf"},"experiencefragment":{"id":"experiencefragment-048183549b","configured":false,":type":"snowflake-site/components/experiencefragment",":items":{},":itemsOrder":[],"classNames":"aem-xf empty"},"markup_editor_1105360441":{"id":"markup-editor-ee3da55596","title":" ","cssContent":".snowflake-simplified-lead-space{overflow:hidden;background-color:var(--ui-01)}.snowflake-simplified-lead-space-background-image__inner{display:none !important}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"}},":itemsOrder":["experiencefragment-banner","experiencefragment-header","markup_editor","responsivegrid","modal_container","experiencefragment-footer","experiencefragment","markup_editor_1105360441"],":type":"wcm/foundation/components/responsivegrid"}},":itemsOrder":["root"],"locale":"ko"}