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Die Studie erstreckte sich über einen Zeitraum von 12 Monaten, der dem Snowflake-Geschäftsjahr 2025 vom 1. Februar 2024 bis zum 31. Januar 2025 entsprach, und wertete Nutzungsdaten und damit verbundene Trends von über 11.100 Snowflake-Kunden aus. Der Prozess verlief dabei wie folgt:\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EErmittlung der Technologien im Marketing Data Stack\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EWir haben untersucht, wie aktive Snowflake-Kunden während des Analysezeitraums Marketingtechnologien verwendet haben. \u003C/li\u003E\r\n\u003Cli\u003EAktive Kunden wurden definiert als Unternehmen, die folgende Kriterien erfüllen:\u003Cul\u003E\r\n\u003Cli\u003ESie hatten entweder einen Kapazitäts- oder einen On-Demand-/Self-Service-Vertrag mit einem gültigen Enddatum.\u003Cul\u003E\r\n\u003Cli\u003ESie haben im letzten Jahr Umsatz für Snowflake generiert. \u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EDamit Technologien für unsere Analyse berücksichtigt wurden, mussten sie die folgenden Kriterien erfüllen:\u003Cul\u003E\r\n\u003Cli\u003EDie für jede bewertete Kategorie in Betracht kommenden Technologien mussten aktive Mitglieder des Snowflake Partner Network (SPN) sein, eine vergleichbare Vereinbarung mit Snowflake haben oder Snowflake-Marketplace-Anbieter sein und den entsprechenden Marketplace-Geschäftsbedingungen zugestimmt haben.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003EDie in der Kategorie „Large Language Models (LLMs)“ genannten Unternehmen repräsentieren Anbieter mit LLMs, die über Snowflake Cortex AI in der Snowflake AI Data Cloud verfügbar sind, und wurden von Snowflake nicht für den Modern Marketing Data Stack bewertet.\u003C/li\u003E\r\n\u003Cli\u003EAnbieter in der Kategorie „Marketing-Cloud“ wurden anhand verschiedener Faktoren bewertet, darunter die Snowflake-Nutzung und ihre Präsenz in der Branche und in Customer Marketing Data Stacks.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003EKategorisierung der Technologien nach ihrer Snowflake-Nutzungsart\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EDa Snowflake seine Plattformfunktionen konstant weiter verbessert und verschiedene Modelle für die Anwendungsbereitstellung anbietet, integrieren Anbieter die AI Data Cloud auf unterschiedliche Weise und für verschiedene Zwecke. Um die Marktführerschaft und den Grad der Akzeptanz aus Sicht des Kundenstamms zu bewerten, wurden bestimmte Metriken angewandt, die auf der Art der Nutzung in Snowflake basieren. Bei der Analyse wurde Folgendes berücksichtigt:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003ETechnologien, die die Snowflake-Workloads für Datenintegration, -analyse und -umwandlung nutzen\u003C/li\u003E\r\n\u003Cli\u003ETechnologien, die die Collaboration-Workloads von Snowflake nutzen, um andere Produktangebote zu integrieren als Data-Collaboration-Lösungen\u003C/li\u003E\r\n\u003Cli\u003ETechnologien, die die Collaboration-Workloads von Snowflake nutzen, um ein Data-Collaboration-Angebot bereitzustellen, das der Kategorie „Collaboration“ in diesem Bericht zugeordnet ist\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003EErmittlung wichtiger Metriken zur Messung des Erfolgs von Marketingtools\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EUm den Erfolg der Marketingtools in den einzelnen Stack-Kategorien genau zu messen, wurden spezifische Metriken analysiert, die darauf basieren, wie die Partnertechnologien Snowflakes Funktionen genutzt haben.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EMetriken für Technologien, die die Snowflake-Workloads für Datenintegration, -analyse und -umwandlung nutzen:\u003Cul\u003E\r\n\u003Cli\u003EGesamtzahl aktiver Kunden, die die Technologie verwenden\u003C/li\u003E\r\n\u003Cli\u003EGesamter Credit-Verbrauch durch die Technologie auf Snowflake\u003C/li\u003E\r\n\u003Cli\u003EProzentuales Wachstum beider Kategorien im untersuchten 12-Monats-Zeitraum gegenüber dem vorherigen 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EMetriken für Technologien, die die Collaboration-Funktionen von Snowflake nutzen, um andere Produktangebote als Data-Collaboration-Lösungen zu integrieren:\u003Cul\u003E\r\n\u003Cli\u003EDie Gesamtzahl der Stable Edges, die die Technologie enthalten. Stable Edges sind die laufenden Beziehungen zwischen Datenanbietern und Datennutzern. Ein Stable Edge ist definiert als ein Data Share, der zu mindestens 20 Transaktionen geführt hat, bei denen Rechenressourcen genutzt wurden, wobei diese Nutzung in zwei aufeinanderfolgenden dreiwöchigen Zeiträumen zu ausgewiesenen Produktumsätzen geführt hat (mit mindestens 20 Transaktionen je Zeitraum).\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EMetriken für Technologien, die die Collaboration-Workloads von Snowflake nutzen, um ein Data-Collaboration-Angebot bereitzustellen, das der Kategorie „Collaboration“ in diesem Bericht zugeordnet ist:\u003Cul\u003E\r\n\u003Cli\u003EDie Gesamtzahl der Stable Edges, die die Technologie enthalten.\u003C/li\u003E\r\n\u003Cli\u003EDer gesamte Credit-Verbrauch wird durch die Data Shares bestimmt, die die Technologie auf Snowflake nutzt.\u003C/li\u003E\r\n\u003Cli\u003EDie Gesamtzahl eindeutiger Nutzender der Data-Collaboration-Technologie, definiert als mindestens ein Stable Edge, der zwischen Anbieter und Nutzenden eingerichtet wurde. \u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003EAnalyse der Wachstumszahlen\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EWir haben alle Kapazitäts- und Self-Service-Kunden berücksichtigt, die am 1. Februar 2024 aktiv waren und im darauffolgenden 1-Jahres-Zeitraum positive Umsätze für Snowflake generiert haben. Die prozentualen Wachstumszahlen spiegeln wider, inwiefern die Nutzung der Tools in den einzelnen Kategorien im 12-Monats-Zeitraum zwischen 1. Februar 2024 und 31. Januar 2025 gegenüber dem vorherigen 12-Monats-Zeitraum zugenommen hat. Mit dieser Methodik wollten wir ein klares Bild der Technologien vermitteln, die bei der Snowflake-Kundschaft gut ankommen.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EEntwicklung eines Durchdringungsindex für Snowflake-Technologien\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EWir haben einen Index entwickelt, der die Marktdurchdringung und den Nutzungsgrad von Technologien anhand ihrer Interaktion mit Snowflake veranschaulicht. Die Berechnung erfolgt über gewichtete Kriterien, die auf die verschiedenen Snowflake-Nutzungsarten zugeschnitten sind:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003ETechnologien, die die Snowflake-Workloads für Datenintegration, -analyse und -umwandlung nutzen:   \u003Cul\u003E\r\n\u003Cli\u003EBreite (40 %): Gesamtzahl aktiver Kunden, die die Technologie im untersuchten 12-Monats-Zeitraum auf Snowflake genutzt haben\u003C/li\u003E\r\n\u003Cli\u003ETiefe (40 %): Gesamter Credit-Verbrauch der Technologie auf Snowflake während des untersuchten 12-Monats-Zeitraums\u003C/li\u003E\r\n\u003Cli\u003EWachstum von Breite und Tiefe:\u003Cul\u003E\r\n\u003Cli\u003E(10 %) Prozentuales Wachstum der Gesamtzahl aktiver Kunden, die die Technologie im untersuchten 12-Monats-Zeitraum genutzt haben, gegenüber dem vorherigen 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003Cli\u003E(10 %) Prozentuales Wachstum des Credit-Verbrauchs durch die Technologie im untersuchten 12-Monats-Zeitraum gegenüber dem vorherigen 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E   Technologien, die die Collaboration-Workloads von Snowflake nutzen, um andere Produktangebote als Data-Collaboration-Lösungen zu integrieren:\u003Cul\u003E\r\n\u003Cli\u003EBreite (40 %): Gesamtzahl von Stable Edges der Technologie auf Snowflake im untersuchten 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003Cli\u003ETiefe (40 %): Gesamter Credit-Verbrauch der Technologie auf Snowflake während des untersuchten 12-Monats-Zeitraums\u003C/li\u003E\r\n\u003Cli\u003EWachstum von Breite und Tiefe:\u003Cul\u003E\r\n\u003Cli\u003E(10 %) Prozentuales Wachstum der Gesamtzahl von Stable Edges der Technologie auf Snowflake im untersuchten 12-Monats-Zeitraum gegenüber dem vorherigen 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003Cli\u003E(10 %) Prozentuales Wachstum des Verbrauchs durch die Technologie im untersuchten 12-Monats-Zeitraum gegenüber dem vorherigen 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003ETechnologien, die die Collaboration-Workloads von Snowflake nutzen, um ein Data-Collaboration-Angebot bereitzustellen, das der Kategorie „Collaboration“ in diesem Bericht zugeordnet ist:\u003Cul\u003E\r\n\u003Cli\u003EBreite (40 %): Gesamtzahl von Stable Edges der Technologie auf Snowflake im untersuchten 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003Cli\u003ETiefe (40 %): Gesamter Credit-Verbrauch der Technologie auf Snowflake während des untersuchten 12-Monats-Zeitraums \u003C/li\u003E\r\n\u003Cli\u003EWachstum von Breite und Tiefe:\u003Cul\u003E\r\n\u003Cli\u003E(10 %) Prozentuales Wachstum der Gesamtzahl von Stable Edges der Technologie auf Snowflake im untersuchten 12-Monats-Zeitraum gegenüber dem vorherigen 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003Cli\u003E(10 %) Prozentuales Wachstum des Verbrauchs durch die Technologie im untersuchten 12-Monats-Zeitraum gegenüber dem vorherigen 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003ETechnologien, die die Collaboration-Workloads von Snowflake nutzen, um ein Data-Collaboration-Angebot bereitzustellen, das der Kategorie „Collaboration“ in diesem Bericht zugeordnet ist:\u003Cul\u003E\r\n\u003Cli\u003EBreite (70 %): \u003Cul\u003E\r\n\u003Cli\u003E(40 %): Gesamtzahl von Stable Edges der Technologie auf Snowflake im untersuchten 12-Monats-Zeitraum\u003C/li\u003E\r\n\u003Cli\u003E(30 %): Anzahl der Nutzenden, die über die vom Anbieter angebotene Technologie integriert sind\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003ETiefe (30 %): Gesamter Credit-Verbrauch der Technologie auf Snowflake während des untersuchten 12-Monats-Zeitraums \u003Cul\u003E\r\n\u003Cli\u003EDieser Index bietet eine umfassende Übersicht der Marktreichweite und des Nutzungsgrads der Technologie im Snowflake-Ökosystem.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003ERanking/Auswahl der Marketingtechnologien von 1 bis N, wobei die niedrigere Zahl (Ranking) positiver ist. Kombination der gesamten Technologieliste über beide Gruppen hinweg und Normalisierung dieser Rangliste zwischen 0 und 100. (Ein Ergebnis von 100 würde bedeuten, dass die Technologie bei jeder Metrik den ersten Platz einnimmt.)\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EDie führenden Lösungen repräsentieren die Top-Technologien mit dem höchsten Index in jeder Kategorie. Wir identifizieren Anbieter als führend, wenn sie folgende Kriterien erfüllen:\u003Cul\u003E\r\n\u003Cli\u003EAlle Kategorien bis auf Collaboration:\u003Cul\u003E\r\n\u003Cli\u003ETop 3 in ihrer Kategorie\u003C/li\u003E\r\n\u003Cli\u003EOder ein Technologieindex innerhalb von 87 % des durchschnittlichen Index der drei wichtigsten Anbieter ihrer Kategorie\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003EKategorie „Collaboration“:\u003Cul\u003E\r\n\u003Cli\u003ETop 3 in ihrer Kategorie\u003C/li\u003E\r\n\u003Cli\u003EOder ein Technologieindex innerhalb von 94 % des durchschnittlichen Index der drei wichtigsten Anbieter ihrer Kategorie\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E„Lösungen mit Potenzial“ wurden aufgrund ihrer starken Position und zusätzlicher Faktoren ausgewählt, darunter eine starke Marktdynamik in jüngster Zeit, innovative Technologien oder innovative Ansätze mit Snowflake oder eine in jüngster Zeit unter Beweis gestellte hohe Kundenkompetenz.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["title_v2_1687663476_","text_copy_copy"]},"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container","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-dbd8c67666",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-89e324ee3e","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/de/site/footer/resource/jcr:content","configured":true,":type":"snowflake-site/components/experiencefragment",":items":{"root":{"additionalClasses":"sf-footer","gridClassNames":"aem-Grid 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aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-7b8f0ac459","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small snowflake-responsive-container-inner-padding-none",":type":"snowflake-site/components/container",":items":{"text_copy_copy_16360_960329124":{"id":"text-ba7f2d0f42","additionalClasses":"sf-footer__legal-links","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/de/legal/privacy/privacy-policy/\"\u003EDatenschutzhinweis\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/legal/snowflake-site-terms/\"\u003ENutzungsbedingungen\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://info.snowflake.com/2024-Preference-center.html\"\u003EKommunikationseinstellungen\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Cbutton id=\"ot-sdk-btn\" class=\"ot-sdk-show-settings\"\u003ECookie 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