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Global AI for Data Analytics Market Growth (Status and Outlook) 2026-2032

Publisher LP Information, Inc.
Published Jan 15, 2026
Length 154 Pages
SKU # LPI20717614

Description

The global AI for Data Analytics market size is predicted to grow from US$ 4537 million in 2025 to US$ 40710 million in 2032; it is expected to grow at a CAGR of 37.5% from 2026 to 2032.

AI for Data Analytics refers to the application of artificial intelligence techniques and technologies to analyze large volumes of data, extract meaningful insights, and drive decision-making. By leveraging machine learning, deep learning, natural language processing, and other AI methods, AI for data analytics can automate the process of identifying patterns, trends, and anomalies within datasets that are too complex for traditional analysis. This helps organizations optimize operations, improve forecasting, enhance customer experiences, and gain a competitive edge by enabling data-driven decision-making with greater accuracy and efficiency.

United States market for AI for Data Analytics is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

China market for AI for Data Analytics is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

Europe market for AI for Data Analytics is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

Global key AI for Data Analytics players cover IBM, Alibaba, AWS, Baidu, Cloudera, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2025.

LPI (LP Information)' newest research report, the “AI for Data Analytics Industry Forecast” looks at past sales and reviews total world AI for Data Analytics sales in 2025, providing a comprehensive analysis by region and market sector of projected AI for Data Analytics sales for 2026 through 2032. With AI for Data Analytics sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI for Data Analytics industry.

This Insight Report provides a comprehensive analysis of the global AI for Data Analytics landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI for Data Analytics portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI for Data Analytics market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI for Data Analytics and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI for Data Analytics.

This report presents a comprehensive overview, market shares, and growth opportunities of AI for Data Analytics market by product type, application, key players and key regions and countries.

Segmentation by Type:
Cloud-based
Local Deployment

Segmentation by Application:
Healthcare and Life Sciences
Retail and E-Commerce
Financial Services and Banking
Manufacturing
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
Alibaba
AWS
Baidu
Cloudera
Databricks
DataRobot
Google Cloud
Huawei
Microsoft Azure
Oracle
Palantir
Qlik
Salesforce
SAP
SAS
Snowflake
Splunk
Tableau
Teradata
Innodata

Please note: The report will take approximately 2 business days to prepare and deliver.

Table of Contents

154 Pages
*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 AI for Data Analytics Market Size by Player
4 AI for Data Analytics by Region
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global AI for Data Analytics Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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