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Snowflake의 2025 회계연도에 맞춰 2024년 2월 1일부터 2025년 1월 31일까지 12개월 동안 11,100명 이상의 Snowflake 고객에게서 수집한 사용 데이터와 관련 동향을 평가했습니다. 세부 프로세스는 다음과 같습니다.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003E마케팅 데이터 스택 내 기술 파악\u003C/b\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E분석 기간 동안 Snowflake 활성 고객의 마케팅 기술 사용 현황을 평가했습니다. \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E여기서 활성 고객이란 다음과 같이 정의됩니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E유효한 종료일이 있는 용량, 온디맨드 또는 셀프서비스 계약을 보유한 고객\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E지난 1년 동안 Snowflake에서 수익을 창출한 고객\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E분석 대상 기술은 다음의 기준을 충족했습니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E각 평가 카테고리에 포함된 기술은 Snowflake Partner Network(SPN)의 활성 구성원이거나, Snowflake와 유사한 계약을 체결했거나, 관련 마켓플레이스 이용 약관에 동의한 Snowflake Marketplace 공급자여야 합니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E대규모 언어 모델(LLM) 카테고리에 언급된 기업은 Snowflake Cortex AI를 통해 Snowflake AI 데이터 클라우드에서 LLM을 사용하는 공급자이며, Snowflake의 최신 마케팅 데이터 스택 평가 대상이 아닙니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E마케팅 클라우드 카테고리에 속한 공급업체는 Snowflake 사용량, 업계 내 입지, 고객 마케팅 데이터 스택 등 다양한 요소를 기준으로 평가되었습니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Cb\u003ESnowflake 소비 유형에 따른 기술 분류\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003ESnowflake가 플랫폼 기능을 지속적으로 강화하고 다양한 애플리케이션 배포 모델을 제공함에 따라 공급업체는 다양한 목적에 맞게 다양한 방식으로 AI 데이터 클라우드와 통합되고 있습니다. 고객 기반의 관점에서 시장 리더십과 채택 수준을 정확하게 평가하기 위해 Snowflake 소비 유형에 따라 특정 지표를 적용했습니다. 분석에서는 다음을 고려하였습니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E데이터 통합, 변환 및 분석 워크로드에 Snowflake를 사용하는 기술\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E데이터 협업 솔루션 이외의 제품을 통합하기 위해 Snowflake의 협업 워크로드를 활용하는 기술\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E본 보고서의 ‘협업’ 카테고리와 관련된 데이터 협업 솔루션을 제공하기 위해 Snowflake의 협업 워크로드를 활용하는 기술\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Cb\u003E마케팅 도구의 효과를 측정하기 위한 주요 지표 파악\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003E스택의 각 카테고리 내에서 마케팅 도구별 채택 효과를 정확하게 측정하기 위해 파트너 솔루션에서 Snowflake의 기능을 어떻게 활용했는지를 기준으로 하여 구체적인 지표를 분석했습니다. \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E데이터 통합, 변환 및 분석 워크로드에 Snowflake를 사용하는 기술에 대한 지표\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E해당 기술을 사용하는 총 활성 고객 수\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflake 기술별 총 크레딧 소비량\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E두 카테고리의 직전 12개월 대비 분석 기간(12개월) 동안의 성장률\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E데이터 협업 솔루션 이외의 제품을 통합하기 위해 Snowflake의 협업 기능을 활용하는 기술에 대한 지표\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E해당 기술을 포함하는 총 스테이블 엣지 수. 스테이블 엣지는 데이터 공급자와 데이터 소비자 간의 지속적인 관계를 나타냅니다. 스테이블 엣지는 컴퓨팅 리소스가 소비된 트랜잭션을 20건 이상 생성한 데이터 공유를 의미합니다. 이러한 소비는 3주의 주기가 두 번 연속되는 기간 동안 제품 수익으로 인식되며, 각 기간 동안 최소 20건의 트랜잭션이 발생해야 합니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E해당 기술이 Snowflake에서 사용하고 있는 데이터 공유로 인해 발생하는 총 크레딧 소비량\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E두 카테고리의 직전 12개월 대비 분석 기간(12개월) 동안의 성장률\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E본 보고서의 ‘협업’ 카테고리와 관련된 데이터 협업 솔루션을 제공하기 위해 Snowflake의 협업 워크로드를 활용하는 기술에 대한 지표\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E해당 기술을 포함하는 총 스테이블 엣지 수\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E해당 기술이 Snowflake에서 사용하고 있는 데이터 공유로 인해 발생하는 총 크레딧 소비량\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E공급자와 소비자 간에 설정된 한 개 이상의 스테이블 엣지로 정의된 데이터 협업 기술의 총 고유 소비자 수\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Cb\u003E성장 수치 분석\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003E2024년 2월 1일 기준 모든 활성 용량 및 셀프서비스 고객 중 이후 1년 동안 Snowflake에서 플러스 수익을 창출한 고객을 포함했습니다. 성장률은 직전 12개월 대비 2024년 2월 1일부터 2025년 1월 31일까지(분석 기간) 12개월 간의 카테고리별 도구 사용량의 증가율을 반영합니다. 이 방법론을 통해 Snowflake 고객들 사이에서 인기를 얻고 있는 기술을 명확하게 파악하고자 했습니다.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003ESnowflake 기술에 대한 침투 지수 생성\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003ESnowflake와의 상호 작용을 기반으로 기술의 시장 침투와 사용량 깊이를 설명하기 위한 지수를 개발했습니다. 이 계산에서는 다양한 유형의 Snowflake 사용량에 맞춘 가중치 기준을 사용합니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E데이터 통합, 변환 및 분석 기능에 Snowflake를 사용하는 기술 \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E너비(40%): 12개월의 분석 기간 동안 Snowflake에서 해당 기술을 사용하는 활성 고객 수\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E깊이(40%): 12개월의 분석 기간 동안 Snowflake의 기술별 총 크레딧 소비량\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E너비와 깊이의 성장\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E(10%) 직전 12개월 대비 분석 기간(12개월) 동안 해당 기술을 사용한 총 활성 고객 수의 성장률\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E(10%) 직전 12개월 대비 분석 기간(12개월) 동안 기술별 총 크레딧 소비량의 성장률\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E데이터 협업 솔루션 이외의 제품을 통합하기 위해 Snowflake의 협업 워크로드를 활용하는 기술\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E너비(40%): 12개월의 분석 기간 동안 해당 기술에 대한 Snowflake 내 스테이블 엣지 수\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E깊이(40%): 12개월의 분석 기간 동안 Snowflake의 기술별 총 크레딧 소비량 \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E너비와 깊이의 성장\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E(10%) 직전 12개월 대비 분석 기간(12개월) 동안 해당 기술에 대한 Snowflake 내 총 스테이블 엣지 수의 성장률\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E(10%) 직전 12개월 대비 분석 기간(12개월) 동안 기술별 소비량의 성장률\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E본 보고서의 ‘협업’ 카테고리와 관련된 데이터 협업 솔루션을 제공하기 위해 Snowflake의 협업 워크로드를 활용하는 기술\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E너비(70%) \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E(40%): 12개월의 분석 기간 동안 해당 기술에 대한 Snowflake 내 스테이블 엣지 수\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E(30%): 공급업체가 제공하는 기술을 통해 통합된 소비자 수\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E깊이(30%): 12개월의 분석 기간 동안 Snowflake의 기술별 총 크레딧 소비량 \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E이 지수를 통해 Snowflake 생태계 내에서의 시장 도달 범위와 기술 사용 강도를 종합적으로 파악할 수 있습니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E마케팅 기술을 1부터 N까지 순위를 매기거나 선별할 수 있으며, 낮은 숫자(순위)일수록 선호도가 높습니다. 그리고 두 그룹의 전체 기술 목록을 결합하여 해당 순위를 0~100점으로 정규화합니다. (점수가 100점이면 해당 기술이 모든 지표에 걸쳐 1위임을 의미합니다.)\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E선도 기업은 각 카테고리에서 지수 값이 가장 높은 상위 기술을 제공한 기업을 의미합니다. 다음 기준을 충족하는 공급업체를 선도 기업으로 선정했습니다.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E협업 카테고리를 제외한 모든 카테고리\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E해당 카테고리에서 상위 3위 안에 랭크됨\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E또는 기술 지수가 해당 카테고리의 상위 3개 공급업체 평균 지수의 87% 이내임\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E협업 카테고리\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E해당 카테고리에서 상위 3위 안에 랭크됨\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E또는 기술 지수가 해당 카테고리의 상위 3개 공급업체 평균 지수의 94% 이내임\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E주목할 만한 기업은 시장에서의 강력한 입지뿐 아니라 최근에 시장에서 보인 강력한 성장세, Snowflake를 사용하는 혁신적인 기술이나 접근 방식, 최근 선보인 강력한 고객 기능 등과 같은 다양한 요인을 고려하여 선정되었습니다.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["title_v2_1687663476_","text_copy_copy"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["container"]}},":itemsOrder":["container_882109576","markup_editor_copy","container_65569746_c","container_copy","container"],":type":"wcm/foundation/components/responsivegrid"},"modal_container":{"layout":"SIMPLE","id":"container-84a0ef2562",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-7642bac183","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 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aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-306532e7ee",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small snowflake-responsive-container-inner-padding-none",":items":{"text_copy_copy_16360_2109187328":{"id":"text-634efbf0f2","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-37b241bad0","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 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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\" 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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 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!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 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