2026 Global: Advanced Analytics Market-Competitive Review (2032) report
Description
The 2026 Global: Advanced 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 advanced analytics market by geography and historical trend. The scope of the report extends to sizing of the advanced 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:
Accenture, Deloitte, IBM, and Capgemini are leading providers in the advanced analytics market, each combining consulting depth with platform-scale delivery: Accenture integrates its SynOps and generative-AI capabilities to drive enterprise-scale analytics, cloud migration, and managed reporting across industries such as retail and banking; Deloitte focuses on analytics strategy, data governance, and BI modernization for sectors including healthcare and government while modernizing legacy architectures; IBM leverages hybrid-cloud analytics, Watson AI, and data-fabric design to support large enterprises in banking and industrial verticals with platform and managed services; Capgemini delivers data engineering, cloud migration, and AI enablement for manufacturing, energy, and retail clients through consulting and platform builds that use major cloud vendors and data tools.
Fractal Analytics, Mu Sigma, Tiger Analytics, and EXL concentrate on outcome-driven AI, decision sciences, and managed-analytics services: Fractal pairs deep learning with behavioral science to offer personalization, demand forecasting, and customer analytics across CPG and financial services while supplying AI-powered decision tools and productized frameworks; Mu Sigma provides decision-analytics-as-a-service with large analytic teams that embed models across business units for pricing, supply-chain, and fraud use cases; Tiger Analytics delivers full-stack advanced analytics, MLOps, and data engineering to Fortune-1000 clients, emphasizing measurable outcomes and domain-centric solutions in retail and logistics; EXL combines analytics with operations outsourcing to scale insurance, healthcare, and utilities analytics using SAS, Python, and cloud platforms for managed-service engagements.
Databricks, Snowflake, and Alteryx (as representative platform leaders) extend the advanced-analytics ecosystem by enabling unified data, AI, and self-service analytics at scale: Databricks powers large-scale data engineering and enterprise AI with a lakehouse architecture relied on by thousands of organizations to operationalize ML and analytics workflows; Snowflake focuses on cross-cloud data accessibility and enterprise AI enablement through its data-cloud platform and expanding ecosystem for production analytics and model serving; Alteryx targets self-service, low-code/no-code analytics with its Alteryx One suite to democratize data preparation, predictive analytics, and automation across business users, reinforcing faster analytic workflows and AI integration.
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 advanced analytics market by geography and historical trend. The scope of the report extends to sizing of the advanced 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:
Accenture, Deloitte, IBM, and Capgemini are leading providers in the advanced analytics market, each combining consulting depth with platform-scale delivery: Accenture integrates its SynOps and generative-AI capabilities to drive enterprise-scale analytics, cloud migration, and managed reporting across industries such as retail and banking; Deloitte focuses on analytics strategy, data governance, and BI modernization for sectors including healthcare and government while modernizing legacy architectures; IBM leverages hybrid-cloud analytics, Watson AI, and data-fabric design to support large enterprises in banking and industrial verticals with platform and managed services; Capgemini delivers data engineering, cloud migration, and AI enablement for manufacturing, energy, and retail clients through consulting and platform builds that use major cloud vendors and data tools.
Fractal Analytics, Mu Sigma, Tiger Analytics, and EXL concentrate on outcome-driven AI, decision sciences, and managed-analytics services: Fractal pairs deep learning with behavioral science to offer personalization, demand forecasting, and customer analytics across CPG and financial services while supplying AI-powered decision tools and productized frameworks; Mu Sigma provides decision-analytics-as-a-service with large analytic teams that embed models across business units for pricing, supply-chain, and fraud use cases; Tiger Analytics delivers full-stack advanced analytics, MLOps, and data engineering to Fortune-1000 clients, emphasizing measurable outcomes and domain-centric solutions in retail and logistics; EXL combines analytics with operations outsourcing to scale insurance, healthcare, and utilities analytics using SAS, Python, and cloud platforms for managed-service engagements.
Databricks, Snowflake, and Alteryx (as representative platform leaders) extend the advanced-analytics ecosystem by enabling unified data, AI, and self-service analytics at scale: Databricks powers large-scale data engineering and enterprise AI with a lakehouse architecture relied on by thousands of organizations to operationalize ML and analytics workflows; Snowflake focuses on cross-cloud data accessibility and enterprise AI enablement through its data-cloud platform and expanding ecosystem for production analytics and model serving; Alteryx targets self-service, low-code/no-code analytics with its Alteryx One suite to democratize data preparation, predictive analytics, and automation across business users, reinforcing faster analytic workflows and AI integration.
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
Search Inside Report
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
