2026 Global: Customer Analytics Market-Competitive Review (2032) report
Description
The 2026 Global: Customer Analytics Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for customer analytics market by geography and historical trend. The scope of the report extends to sizing of the customer analytics market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Customer Analytics Market is dominated by several major companies that provide platforms for data collection, segmentation, journey analytics, personalization, and predictive modeling; leading providers include Adobe (Adobe Experience Platform), Salesforce (Customer 360 + Tableau), Google (Google Cloud + Looker), Microsoft (Azure + Power BI), Oracle (Oracle CX and Oracle Analytics), SAP (Customer Experience and Analytics), IBM (Watson Customer Experience and IBM Analytics), SAS (customer intelligence and advanced analytics), Snowflake (data cloud for customer data platforms), and Amplitude (product and behavioral analytics). Adobe Experience Platform centralizes massive customer datasets and enables real-time personalization and journey orchestration using AI-driven services, making it a top choice for large enterprises seeking enterprise-scale personalization. Salesforce combines Customer 360’s cross-system identity resolution with Tableau’s visualization and Einstein AI to provide integrated CRM-driven analytics, scoring, and automated workflows that tie analytics directly into sales and service operations. Google’s Looker and Google Cloud provide scalable data warehousing, exploration, and ML pipelines for customer analytics, favored for integration with Google marketing and advertising ecosystems and for real-time data processing at scale. Microsoft’s Azure and Power BI ecosystem deliver strong enterprise integration, self-service BI, and embedded analytics enabling organizations to operationalize customer insights across Microsoft workloads and applications. Oracle’s CX suite and Analytics Cloud offer built-in predictive models, native ERP/CRM integration, and enterprise governance features attractive to organizations already on Oracle stacks.
In addition to enterprise stack vendors, specialist analytics and CDP providers shape the market: Snowflake’s data cloud underpins modern customer data platforms by enabling governed, high-fidelity customer data lakes and real-time analytics for personalization and ML use cases. Amplitude focuses on behavioral and product analytics, delivering event-level insights that drive growth and product-led personalization for digital-first companies. SAS and IBM bring decades of advanced analytics, predictive modeling, and industry-tailored solutions that support sophisticated segmentation, churn prediction, and lifetime value modeling in regulated industries. SAP’s CX and analytics offerings integrate customer signals into enterprise resource and commerce processes, supporting large B2B and B2C use cases with strong data governance. These specialist and legacy analytics vendors are often chosen for best-of-breed modeling, data governance, or industry-specific requirements where deep statistical capability and compliance are critical.
Competitive dynamics in customer analytics center on data unification, real-time activation, AI-driven insight generation, and privacy-aware governance: vendors compete on their ability to ingest event-level and third-party signals, resolve identities, and enable downstream personalization across channels with low latency while maintaining compliance with data protection rules. Platform consolidation trends favor vendors that combine CDP capabilities with analytics, journey orchestration, and activation (advertising, email, CRM) whereas cloud-native data platforms (e.g., Snowflake, Google Cloud) gain traction by decoupling storage and compute to support multiple analytics engines and best-of-breed tools. Choice among these ten leaders typically depends on existing enterprise technology stacks, scale requirements, required AI/ML capabilities, and priorities around real-time activation versus advanced statistical modeling.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for customer analytics market by geography and historical trend. The scope of the report extends to sizing of the customer analytics market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Customer Analytics Market is dominated by several major companies that provide platforms for data collection, segmentation, journey analytics, personalization, and predictive modeling; leading providers include Adobe (Adobe Experience Platform), Salesforce (Customer 360 + Tableau), Google (Google Cloud + Looker), Microsoft (Azure + Power BI), Oracle (Oracle CX and Oracle Analytics), SAP (Customer Experience and Analytics), IBM (Watson Customer Experience and IBM Analytics), SAS (customer intelligence and advanced analytics), Snowflake (data cloud for customer data platforms), and Amplitude (product and behavioral analytics). Adobe Experience Platform centralizes massive customer datasets and enables real-time personalization and journey orchestration using AI-driven services, making it a top choice for large enterprises seeking enterprise-scale personalization. Salesforce combines Customer 360’s cross-system identity resolution with Tableau’s visualization and Einstein AI to provide integrated CRM-driven analytics, scoring, and automated workflows that tie analytics directly into sales and service operations. Google’s Looker and Google Cloud provide scalable data warehousing, exploration, and ML pipelines for customer analytics, favored for integration with Google marketing and advertising ecosystems and for real-time data processing at scale. Microsoft’s Azure and Power BI ecosystem deliver strong enterprise integration, self-service BI, and embedded analytics enabling organizations to operationalize customer insights across Microsoft workloads and applications. Oracle’s CX suite and Analytics Cloud offer built-in predictive models, native ERP/CRM integration, and enterprise governance features attractive to organizations already on Oracle stacks.
In addition to enterprise stack vendors, specialist analytics and CDP providers shape the market: Snowflake’s data cloud underpins modern customer data platforms by enabling governed, high-fidelity customer data lakes and real-time analytics for personalization and ML use cases. Amplitude focuses on behavioral and product analytics, delivering event-level insights that drive growth and product-led personalization for digital-first companies. SAS and IBM bring decades of advanced analytics, predictive modeling, and industry-tailored solutions that support sophisticated segmentation, churn prediction, and lifetime value modeling in regulated industries. SAP’s CX and analytics offerings integrate customer signals into enterprise resource and commerce processes, supporting large B2B and B2C use cases with strong data governance. These specialist and legacy analytics vendors are often chosen for best-of-breed modeling, data governance, or industry-specific requirements where deep statistical capability and compliance are critical.
Competitive dynamics in customer analytics center on data unification, real-time activation, AI-driven insight generation, and privacy-aware governance: vendors compete on their ability to ingest event-level and third-party signals, resolve identities, and enable downstream personalization across channels with low latency while maintaining compliance with data protection rules. Platform consolidation trends favor vendors that combine CDP capabilities with analytics, journey orchestration, and activation (advertising, email, CRM) whereas cloud-native data platforms (e.g., Snowflake, Google Cloud) gain traction by decoupling storage and compute to support multiple analytics engines and best-of-breed tools. Choice among these ten leaders typically depends on existing enterprise technology stacks, scale requirements, required AI/ML capabilities, and priorities around real-time activation versus advanced statistical modeling.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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