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AI and Machine Learning Usage up 15.5% Among Marketing Teams, Snowflake Modern Marketing Data Stack Report Finds

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Snowflake released its Modern Marketing Data Stack 2023 report, revealing trends and growth in marketing data stacks. The fastest-growing categories are Measurement & Attribution (29.2% growth), Customer Data Activation (27.6% growth), and Analytics & Data Capture (27.4% growth). Marketers are adopting tools for AI & Machine Learning, with a 15.5% YoY increase. Data clean room relationships have increased up to 7x YoY as privacy becomes a focus.
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  • Fast growth in Measurement & Attribution, Customer Data Activation, and Analytics & Data Capture categories
  • Increased adoption of AI & Machine Learning tools
  • Significant increase in data clean room relationships
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Snowflake platform data from 8,100 customers reveals how marketing teams are building their marketing data stacks

No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)-- Snowflake (NYSE: SNOW), the Data Cloud company, today released its Modern Marketing Data Stack 2023: How Data-Forward Marketers Are Redefining Strategies to Unify, Analyze, and Activate Data to Boost Revenue report.

The 2023 Snowflake Modern Marketing Data Stack (Graphic: Business Wire)

The 2023 Snowflake Modern Marketing Data Stack (Graphic: Business Wire)

Snowflake’s data-backed report identifies the best of breed solutions used by Snowflake customers to show how marketers are leveraging the Snowflake Data Cloud with accompanying partner solutions – 40+ of which are Powered by Snowflake – to best identify, convert, and deliver differentiated experiences to loyal customers.

By analyzing usage patterns from a pool of approximately 8,100 customers as of April 2023, Snowflake identified ten technology categories that organizations consider when building their marketing data stacks. The extensive research reflects how customers are adopting solutions from a rapidly changing ecosystem and highlights the convergence of adtech and martech, the increased importance of privacy-enhancing technologies, and the heightened focus marketers have on measurement to maximize campaign ROI.

The ten categories detailed in the report include: Analytics & Data Capture, Enrichment, Identity & Onboarders, Customer Data Activation, Advertising Platforms, Measurement & Attribution, Integration & Modeling, Business Intelligence, AI & Machine Learning, and Privacy-Enhancing Technologies.

“Despite navigating macro-economic pressures and decreased budgets, it's an exciting time for marketers given the pace of technology innovation and the forthcoming impact of AI and LLMs to disrupt, automate, and enhance the productivity of marketing teams," said Denise Persson, Chief Marketing Officer at Snowflake. "Our Modern Marketing Data Stack report highlights the best tools and solutions available to marketers so that teams can supercharge their ability to execute and drive results."

Snowflake analyzed marketing trends from customers engaging with the companies named as leaders across our ten categories. Key findings include:

  • The three fastest growing categories, by number of customers, year-over-year:
    • Measurement & Attribution (29.2% growth)
    • Customer Data Activation (27.6% growth)
    • Analytics & Data Capture (27.4% growth)
  • Marketers continue to bolster their modern marketing data stacks - the providers named across the Modern Marketing Data Stack categories have seen, cumulatively, an increase in customers on the Snowflake Data Cloud ranging from the low teens to nearly 30% year-over-year
  • Customer adoption of tools or platforms in the Snowflake Data Cloud that power AI & Machine Learning is up 15.5% YoY as marketers begin to explore the potential impact of large language models and generative AI on their work
  • On Snowflake, we’ve seen the number of data clean room relationships increase up to 7x from April 4, 2022, to April 3, 2023 as privacy becomes a focus for marketers

The full report and methodology can be found here.

About Snowflake

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 639 of the 2023 Forbes Global 2000 (G2K) as of July 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

John Bruno

press@snowflake.com

Source: Snowflake Inc.

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snowflake computing was started in 2012 with an ambitious goal: to reinvent the data warehouse. we saw the need to create a completely new data warehouse that could bring together all users, all data and all workloads in a single cloud service. to achieve that, we have assembled a team of experts in data processing who hold over 120 patents in the fields of database architecture, data warehouses, query optimization and parallelization. we are backed by leading venture capital investors including redpoint ventures, sutter hill ventures and wing ventures. we are headquartered in silicon valley and are growing our team in the san francisco bay area. we're a highly collaborative group always on the lookout for great talent. some examples of the expertise that we’re looking for include: distributed systems engineering database engineering user interface user experience quality assurance technical support technical writing this is not an exhaustive list, and we're always intere