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scope\u003C/h4\u003E\r\n\u003Cp\u003EThe objective of this research was to identify the marketing technologies that have established a substantial and active customer base within Snowflake.\u003C/p\u003E\r\n\u003Cp\u003EThe study analyzed usage data and related trends over a 12-month period aligned to Snowflake fiscal year 2026, from \u003Cb\u003EFeb. 1, 2025, to Jan. 31, 2026\u003C/b\u003E. The analysis included data from \u003Cb\u003Emore than 11,500 Snowflake customers\u003C/b\u003E.\u003C/p\u003E\r\n\u003Ch4\u003ECustomer population included in the analysis\u003C/h4\u003E\r\n\u003Cp\u003EThe analysis assessed usage by Snowflake active customers during the study period.\u003C/p\u003E\r\n\u003Cp\u003EFor the purposes of this research, \u003Ci\u003Eactive customers\u003C/i\u003E were defined as customers who held either a capacity or an on-demand/self-service contract with a valid end date, and generated revenue for Snowflake within the prior year.\u003C/p\u003E\r\n\u003Cp\u003EAll references to customer counts, usage, growth and rankings are based exclusively on this defined population.\u003C/p\u003E\r\n\u003Ch4\u003ETechnology eligibility and inclusion criteria\u003C/h4\u003E\r\n\u003Cp\u003EOnly technologies meeting the following eligibility requirements were considered for evaluation:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003EActive members of the Snowflake Partner Network (SPN), \u003Cb\u003Eor\u003C/b\u003E\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EOperating under a comparable agreement with Snowflake, \u003Cb\u003Eor\u003C/b\u003E\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ESnowflake Marketplace providers that have agreed to the applicable Marketplace terms and conditions.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003ESpecial category consideration:\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ECompanies referenced in the \u003Cb\u003Elarge language models (LLMs)\u003C/b\u003E category represent providers whose LLMs are available in Snowflake's AI Data Cloud through Snowflake Cortex AI. These companies were not evaluated as part of the modern marketing data stack.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch4\u003ECategorizing technologies by type of Snowflake consumption\u003C/h4\u003E\r\n\u003Cp\u003EVendors integrate with Snowflake's AI Data Cloud in different ways depending on their product architecture and use cases. To assess adoption and market leadership, technologies were categorized based on how they consume Snowflake.\u003C/p\u003E\r\n\u003Cp\u003EThe analysis evaluated technologies across the following consumption categories:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ETechnologies using Snowflake for data integration, transformation and analysis workloads\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ETechnologies using Snowflake's collaboration workloads to integrate their product offerings, excluding data collaboration solutions\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ETechnologies using Snowflake's collaboration workloads to provide a data collaboration offering, which corresponds to the \u003Ci\u003Ecollaboration\u003C/i\u003E category in this report\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EEach category uses distinct metrics and weighting to reflect the nature of Snowflake usage associated with that integration model.\u003C/p\u003E\r\n\u003Ch4\u003EMetrics used to measure adoption and success\u003C/h4\u003E\r\n\u003Cp\u003EAdoption success was measured using category-specific metrics aligned to how partner technologies leverage Snowflake capabilities.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EMetrics for data integration, transformation and analysis workloads\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EFor technologies using Snowflake primarily for data integration, transformation and analysis, the analysis measured:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ETotal number of active customers using the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ETotal Snowflake credit consumption attributable to the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EPercentage growth in both customer count and credit consumption\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003EMetrics for product integrations (excluding data collaboration solutions)\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EFor technologies using Snowflake's collaboration workloads to integrate product offerings (excluding data collaboration solutions), the analysis measured:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ETotal number of stable edges that include the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ETotal Snowflake credit consumption driven by data shares used by the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EGrowth in both stable edges and credit consumption\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EA \u003Cb\u003Estable edge\u003C/b\u003E represents an ongoing relationship between a data provider and a data consumer. A stable edge is defined as a data share that:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003EProduced at least 20 transactions in which compute resources were consumed, and\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EGenerated recognized product revenue,\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EAcross two successive three-week periods, with at least 20 transactions in each period.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003EMetrics for data collaboration offerings\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EFor technologies providing data collaboration offerings, the analysis measured:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ETotal number of stable edges that include the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ETotal Snowflake credit consumption driven by data shares used by the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ETotal number of unique consumers, defined as consumers with at least one stable edge established with a data provider\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch4\u003EGrowth calculation methodology\u003C/h4\u003E\r\n\u003Cp\u003EGrowth percentages reflect changes in usage for each category's technologies over the \u003Cb\u003E12-month trailing period from Feb. 1, 2025, to Jan. 31, 2026\u003C/b\u003E, compared with the immediately preceding 12-month period.\u003C/p\u003E\r\n\u003Cp\u003EThe growth analysis included all active capacity and self-service customers as of Feb. 1, 2025, who generated positive revenue for Snowflake during the subsequent year.\u003C/p\u003E\r\n\u003Ch4\u003EConstruction of the Snowflake penetration index\u003C/h4\u003E\r\n\u003Cp\u003ETo assess both market reach and usage intensity, Snowflake developed a penetration index that reflects how deeply and broadly technologies interact with Snowflake.\u003C/p\u003E\r\n\u003Cp\u003EIndex calculations apply weighted criteria tailored to each category of Snowflake consumption.\u003C/p\u003E\r\n\u003Cp\u003EBreadth and depth are calculated during the 12-month analysis period.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E1. Data integration, transformation and analysis index\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EThis index combines breadth, depth and growth using the following weights:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EBreadth (40%):\u003C/b\u003E Number of active customers using the technology on Snowflake\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDepth (40%):\u003C/b\u003E Total Snowflake credit consumption attributable to the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EGrowth (20%)\u003C/b\u003E, comprised of:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E10%:\u003C/b\u003E Percentage growth in active customers\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E10%:\u003C/b\u003E Percentage growth in Snowflake credit consumption\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003E2. Product integration (non-data collaboration) index\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EThis index applies the following weights:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EBreadth (40%):\u003C/b\u003E Number of stable edges associated with the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDepth (40%):\u003C/b\u003E Total Snowflake credit consumption attributable to the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EGrowth (20%)\u003C/b\u003E, comprised of:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E10%:\u003C/b\u003E Percentage growth in stable edges\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E10%:\u003C/b\u003E Percentage growth in Snowflake credit consumption\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003E3. Data collaboration offering index\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EThis index emphasizes market reach while accounting for usage depth:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EBreadth (70%)\u003C/b\u003E, comprised of:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E40%:\u003C/b\u003E Number of stable edges associated with the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E30%:\u003C/b\u003E Number of consumers integrated through the vendor's data collaboration offering\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDepth (30%):\u003C/b\u003E Total Snowflake credit consumption attributable to the technology\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch4\u003ERanking and selection of marketing technologies\u003C/h4\u003E\r\n\u003Cp\u003ETechnologies were ranked from 1 to N, where a lower rank indicates stronger performance.\u003C/p\u003E\r\n\u003Cp\u003ESnowflake combined rankings across applicable metrics and normalized results on a 0-100 scale, where a score of 100 represents a technology ranked first across all applicable metrics.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ELeader designation\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ETechnologies were identified as Leaders based on the following criteria:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003EAll categories except collaboration:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ERanked within the top three in their category, or\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EAchieved a technology index score within 87% of the average index score of the top three technologies in that category\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ECollaboration category:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ERanked within the top three in the category, or\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EAchieved a technology index score within 96% of the average index score of the top three technologies in the category\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Cb\u003EOnes to Watch designation\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EOnes to Watch were selected based on strong relative standing in the index, combined with qualitative factors such as:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003EStrong recent momentum in the market\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EInnovative technology or integration approach with Snowflake\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EDemonstrated customer capabilities\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EThis methodology is intended to provide a transparent, consistent and defensible view of the marketing technologies gaining adoption and demonstrating impact within Snowflake's customer ecosystem.\u003C/p\u003E\r\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","isActiveTOC":false,"isBlogPage":false}},":itemsOrder":["flexible_column_cont"]}},":itemsOrder":["container"]}},":itemsOrder":["container_882109576","container_copy_1117155347","container_copy","container"],":type":"wcm/foundation/components/responsivegrid"},"modal_container":{"layout":"SIMPLE","id":"container-25a5439f4b",":type":"snowflake-site/components/modal/modal-container",":items":{},":itemsOrder":[]},"experiencefragment-footer":{"id":"experiencefragment-3e14fec82b","configured":true,"localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/footer/resource/jcr:content","classNames":"aem-xf",":type":"snowflake-site/components/experiencefragment",":items":{"root":{"additionalClasses":"sf-footer","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"markup_editor_copy_c":"aem-GridColumn 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