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Published Date: 2026-01-28 | Pages: 151 | Tables: 152 | Service & Software
The global AI for Data Analytics market was valued at US$ 4638 million in 2025 and is anticipated to reach US$ 39220 million by 2032, at a CAGR of 36.2% 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.
The North American market for AI for Data Analytics is projected to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The Asia-Pacific market for AI for Data Analytics is projected to rise from US$ million in 2025 to US$ million by 2032, at a CAGR of % over 2026–2032.
The global market for AI for Data Analytics in Healthcare and Life Sciences is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 to 2032.
Major global companies of AI for Data Analytics include IBM, Alibaba, AWS, Baidu, Cloudera, Databricks, DataRobot, Google Cloud, Huawei, Microsoft Azure, etc. In 2025, the world's top three vendors accounted for approximately % of revenue.
This report delivers a comprehensive overview of the global AI for Data Analytics market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI for Data Analytics. The AI for Data Analytics market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.
The report segments the global AI for Data Analytics market comprehensively. Regional market sizes by Type, by Application, , and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist AI for Data Analytics manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.
Market Segmentation
By Company
IBM
Alibaba
AWS
Baidu
Cloudera
Databricks
DataRobot
Google Cloud
Huawei
Microsoft Azure
Oracle
Palantir
Qlik
Salesforce
SAP
SAS
Snowflake
Splunk
Tableau
Teradata
Innodata
Segment by Type
Cloud-based
Local Deployment
Segment by Application
Healthcare and Life Sciences
Retail and E-Commerce
Financial Services and Banking
Manufacturing
Others
By Region
North America
U.S.
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia & New Zealand
Rest of Asia
Europe
Germany
France
U.K.
Italy
Ireland
Russia
Rest of Europe
Latin America
Mexico
Brazil
Argentina
Rest of Latin America
Middle East & Africa
Israel
United Arab Emirates (UAE)
Saudi Arabia
Rest of MEA
Chapter Outline
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, , etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.
Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.
Chapter 3: Provides a detailed view of the competitive landscape for AI for Data Analytics companies, covering revenue share, development plans, and mergers and acquisitions.
Chapter 4: Analyzes segments by Type, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.
Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.
Chapter 12: Key findings and conclusions of the report.
Research Methodology
The research methodology employed has been subjected by numerous procedures in order to guarantee the quality and accuracy of the data contained within the reports. The analysts are employed full-time and received more than six months training to satisfy the standard of our company. Our methodology can be divided into five stages:
★Stage 1 SECONDARY RESEARCH
The research team first collaborates with magazines, trade associations and administrative departments in the research field. The information provided by our internal documentation service is helpful for our further research. Our team has a wealth of experience and knowledge, and can effectively extract accurate information from existing resources.
★Stage 2 PRIMARY RESEARCH:INTERVIEWS WITH TRADE SOURCES
After the first stage, the research team conducts a large number of face-to-face or telephone interviews with representative companies working in the research field. Analysts are trying to have an opportunity to talk to leading companies and small companies in the field. Upstream suppliers, manufacturers, distributors, importers, installers, wholesalers and consumers were included in the interview. The data collected during the interview were then carefully examined and compared with the secondary study.
★Stage 3 ANALYSIS OF THE GATHERED DATA
The analysis team examines and synthesizes the data collected in the first two stages. In order to validate the data, a second round of interviews can be conducted.
★Stage 4 QUANTITATIVE DATA
The quantitative data such as market estimates, production and capacity of manufacturer, market forecasts and investment feasibility is provided by our company. The data is based on the estimates obtained during stage 3.
★Stage 5 QUALITY CONTROL
Before publishing, each report undergoes a rigorous review and editing process, which is done by the experience management team to ensure the reliability of the published data. Every analyst on the research team receives support and continuous training as part of our internal quality process.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI for Data Analytics Market Size Growth Rate by Type: 2021 vs 2025 vs 2032
1.2.2 Cloud-based
1.2.3 Local Deployment
1.3 Market by Application
1.3.1 Global AI for Data Analytics Market Growth by Application: 2021 vs 2025 vs 2032
1.3.2 Healthcare and Life Sciences
1.3.3 Retail and E-Commerce
1.3.4 Financial Services and Banking
1.3.5 Manufacturing
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI for Data Analytics Market Perspective (2021–2032)
2.2 Global AI for Data Analytics Growth Trends by Region
2.2.1 Global AI for Data Analytics Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 AI for Data Analytics Historic Market Size by Region (2021–2026)
2.2.3 AI for Data Analytics Forecasted Market Size by Region (2027–2032)
2.3 AI for Data Analytics Market Dynamics
2.3.1 AI for Data Analytics Industry Trends
2.3.2 AI for Data Analytics Market Drivers
2.3.3 AI for Data Analytics Market Challenges
2.3.4 AI for Data Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI for Data Analytics Players by Revenue
3.1.1 Global Top AI for Data Analytics Players by Revenue (2021–2026)
3.1.2 Global AI for Data Analytics Revenue Market Share by Players (2021–2026)
3.2 Global Top AI for Data Analytics Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by AI for Data Analytics Revenue
3.4 Global AI for Data Analytics Market Concentration Ratio
3.4.1 Global AI for Data Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI for Data Analytics Revenue in 2025
3.5 Global Key Players of AI for Data Analytics Head Offices and Areas Served
3.6 Global Key Players of AI for Data Analytics, Products and Applications
3.7 Global Key Players of AI for Data Analytics, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans
4 AI for Data Analytics Breakdown Data by Type
4.1 Global AI for Data Analytics Historic Market Size by Type (2021–2026)
4.2 Global AI for Data Analytics Forecasted Market Size by Type (2027–2032)
5 AI for Data Analytics Breakdown Data by Application
5.1 Global AI for Data Analytics Historic Market Size by Application (2021–2026)
5.2 Global AI for Data Analytics Forecasted Market Size by Application (2027–2032)
6 North America
6.1 North America AI for Data Analytics Market Size (2021–2032)
6.2 North America AI for Data Analytics Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America AI for Data Analytics Market Size by Country (2021–2026)
6.4 North America AI for Data Analytics Market Size by Country (2027–2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI for Data Analytics Market Size (2021–2032)
7.2 Europe AI for Data Analytics Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe AI for Data Analytics Market Size by Country (2021–2026)
7.4 Europe AI for Data Analytics Market Size by Country (2027–2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific AI for Data Analytics Market Size (2021–2032)
8.2 Asia-Pacific AI for Data Analytics Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific AI for Data Analytics Market Size by Region (2021–2026)
8.4 Asia-Pacific AI for Data Analytics Market Size by Region (2027–2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America AI for Data Analytics Market Size (2021–2032)
9.2 Latin America AI for Data Analytics Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America AI for Data Analytics Market Size by Country (2021–2026)
9.4 Latin America AI for Data Analytics Market Size by Country (2027–2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI for Data Analytics Market Size (2021–2032)
10.2 Middle East & Africa AI for Data Analytics Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa AI for Data Analytics Market Size by Country (2021–2026)
10.4 Middle East & Africa AI for Data Analytics Market Size by Country (2027–2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM AI for Data Analytics Introduction
11.1.4 IBM Revenue in AI for Data Analytics Business (2021–2026)
11.1.5 IBM Recent Development
11.2 Alibaba
11.2.1 Alibaba Company Details
11.2.2 Alibaba Business Overview
11.2.3 Alibaba AI for Data Analytics Introduction
11.2.4 Alibaba Revenue in AI for Data Analytics Business (2021–2026)
11.2.5 Alibaba Recent Development
11.3 AWS
11.3.1 AWS Company Details
11.3.2 AWS Business Overview
11.3.3 AWS AI for Data Analytics Introduction
11.3.4 AWS Revenue in AI for Data Analytics Business (2021–2026)
11.3.5 AWS Recent Development
11.4 Baidu
11.4.1 Baidu Company Details
11.4.2 Baidu Business Overview
11.4.3 Baidu AI for Data Analytics Introduction
11.4.4 Baidu Revenue in AI for Data Analytics Business (2021–2026)
11.4.5 Baidu Recent Development
11.5 Cloudera
11.5.1 Cloudera Company Details
11.5.2 Cloudera Business Overview
11.5.3 Cloudera AI for Data Analytics Introduction
11.5.4 Cloudera Revenue in AI for Data Analytics Business (2021–2026)
11.5.5 Cloudera Recent Development
11.6 Databricks
11.6.1 Databricks Company Details
11.6.2 Databricks Business Overview
11.6.3 Databricks AI for Data Analytics Introduction
11.6.4 Databricks Revenue in AI for Data Analytics Business (2021–2026)
11.6.5 Databricks Recent Development
11.7 DataRobot
11.7.1 DataRobot Company Details
11.7.2 DataRobot Business Overview
11.7.3 DataRobot AI for Data Analytics Introduction
11.7.4 DataRobot Revenue in AI for Data Analytics Business (2021–2026)
11.7.5 DataRobot Recent Development
11.8 Google Cloud
11.8.1 Google Cloud Company Details
11.8.2 Google Cloud Business Overview
11.8.3 Google Cloud AI for Data Analytics Introduction
11.8.4 Google Cloud Revenue in AI for Data Analytics Business (2021–2026)
11.8.5 Google Cloud Recent Development
11.9 Huawei
11.9.1 Huawei Company Details
11.9.2 Huawei Business Overview
11.9.3 Huawei AI for Data Analytics Introduction
11.9.4 Huawei Revenue in AI for Data Analytics Business (2021–2026)
11.9.5 Huawei Recent Development
11.10 Microsoft Azure
11.10.1 Microsoft Azure Company Details
11.10.2 Microsoft Azure Business Overview
11.10.3 Microsoft Azure AI for Data Analytics Introduction
11.10.4 Microsoft Azure Revenue in AI for Data Analytics Business (2021–2026)
11.10.5 Microsoft Azure Recent Development
11.11 Oracle
11.11.1 Oracle Company Details
11.11.2 Oracle Business Overview
11.11.3 Oracle AI for Data Analytics Introduction
11.11.4 Oracle Revenue in AI for Data Analytics Business (2021–2026)
11.11.5 Oracle Recent Development
11.12 Palantir
11.12.1 Palantir Company Details
11.12.2 Palantir Business Overview
11.12.3 Palantir AI for Data Analytics Introduction
11.12.4 Palantir Revenue in AI for Data Analytics Business (2021–2026)
11.12.5 Palantir Recent Development
11.13 Qlik
11.13.1 Qlik Company Details
11.13.2 Qlik Business Overview
11.13.3 Qlik AI for Data Analytics Introduction
11.13.4 Qlik Revenue in AI for Data Analytics Business (2021–2026)
11.13.5 Qlik Recent Development
11.14 Salesforce
11.14.1 Salesforce Company Details
11.14.2 Salesforce Business Overview
11.14.3 Salesforce AI for Data Analytics Introduction
11.14.4 Salesforce Revenue in AI for Data Analytics Business (2021–2026)
11.14.5 Salesforce Recent Development
11.15 SAP
11.15.1 SAP Company Details
11.15.2 SAP Business Overview
11.15.3 SAP AI for Data Analytics Introduction
11.15.4 SAP Revenue in AI for Data Analytics Business (2021–2026)
11.15.5 SAP Recent Development
11.16 SAS
11.16.1 SAS Company Details
11.16.2 SAS Business Overview
11.16.3 SAS AI for Data Analytics Introduction
11.16.4 SAS Revenue in AI for Data Analytics Business (2021–2026)
11.16.5 SAS Recent Development
11.17 Snowflake
11.17.1 Snowflake Company Details
11.17.2 Snowflake Business Overview
11.17.3 Snowflake AI for Data Analytics Introduction
11.17.4 Snowflake Revenue in AI for Data Analytics Business (2021–2026)
11.17.5 Snowflake Recent Development
11.18 Splunk
11.18.1 Splunk Company Details
11.18.2 Splunk Business Overview
11.18.3 Splunk AI for Data Analytics Introduction
11.18.4 Splunk Revenue in AI for Data Analytics Business (2021–2026)
11.18.5 Splunk Recent Development
11.19 Tableau
11.19.1 Tableau Company Details
11.19.2 Tableau Business Overview
11.19.3 Tableau AI for Data Analytics Introduction
11.19.4 Tableau Revenue in AI for Data Analytics Business (2021–2026)
11.19.5 Tableau Recent Development
11.20 Teradata
11.20.1 Teradata Company Details
11.20.2 Teradata Business Overview
11.20.3 Teradata AI for Data Analytics Introduction
11.20.4 Teradata Revenue in AI for Data Analytics Business (2021–2026)
11.20.5 Teradata Recent Development
11.21 Innodata
11.21.1 Innodata Company Details
11.21.2 Innodata Business Overview
11.21.3 Innodata AI for Data Analytics Introduction
11.21.4 Innodata Revenue in AI for Data Analytics Business (2021–2026)
11.21.5 Innodata Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
List of Tables
Table 1. Global AI for Data Analytics Market Size Growth Rate by Type (US$ Million): 2021 vs 2025 vs 2032
Table 2. Key Players of Cloud-based
Table 3. Key Players of Local Deployment
Table 4. Global AI for Data Analytics Market Size Growth by Application (US$ Million): 2021 vs 2025 vs 2032
Table 5. Global AI for Data Analytics Market Size by Region (US$ Million): 2021 vs 2025 vs 2032
Table 6. Global AI for Data Analytics Market Size by Region (US$ Million), 2021–2026
Table 7. Global AI for Data Analytics Market Share by Region (2021–2026)
Table 8. Global AI for Data Analytics Forecasted Market Size by Region (US$ Million), 2027–2032
Table 9. Global AI for Data Analytics Market Share by Region (2027–2032)
Table 10. AI for Data Analytics Market Trends
Table 11. AI for Data Analytics Market Drivers
Table 12. AI for Data Analytics Market Challenges
Table 13. AI for Data Analytics Market Restraints
Table 14. Global AI for Data Analytics Revenue by Players (US$ Million), 2021–2026
Table 15. Global AI for Data Analytics Market Share by Players (2021–2026)
Table 16. Global Top AI for Data Analytics Players by Tier (Tier 1, Tier 2, and Tier 3), based on AI for Data Analytics Revenue, 2025
Table 17. Ranking of Global Top AI for Data Analytics Companies by Revenue (US$ Million) in 2025
Table 18. Global 5 Largest Players Market Share by AI for Data Analytics Revenue (CR5 and HHI), 2021–2026
Table 19. Global Key Players of AI for Data Analytics, Headquarters and Area Served
Table 20. Global Key Players of AI for Data Analytics, Products and Applications
Table 21. Global Key Players of AI for Data Analytics, Date of General Availability (GA)
Table 22. Mergers and Acquisitions, Expansion Plans
Table 23. Global AI for Data Analytics Market Size by Type (US$ Million), 2021–2026
Table 24. Global AI for Data Analytics Revenue Market Share by Type (2021–2026)
Table 25. Global AI for Data Analytics Forecasted Market Size by Type (US$ Million), 2027–2032
Table 26. Global AI for Data Analytics Revenue Market Share by Type (2027–2032)
Table 27. Global AI for Data Analytics Market Size by Application (US$ Million), 2021–2026
Table 28. Global AI for Data Analytics Revenue Market Share by Application (2021–2026)
Table 29. Global AI for Data Analytics Forecasted Market Size by Application (US$ Million), 2027–2032
Table 30. Global AI for Data Analytics Revenue Market Share by Application (2027–2032)
Table 31. North America AI for Data Analytics Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 32. North America AI for Data Analytics Market Size by Country (US$ Million), 2021–2026
Table 33. North America AI for Data Analytics Market Size by Country (US$ Million), 2027–2032
Table 34. Europe AI for Data Analytics Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 35. Europe AI for Data Analytics Market Size by Country (US$ Million), 2021–2026
Table 36. Europe AI for Data Analytics Market Size by Country (US$ Million), 2027–2032
Table 37. Asia-Pacific AI for Data Analytics Market Size Growth Rate by Region (US$ Million): 2021 vs 2025 vs 2032
Table 38. Asia-Pacific AI for Data Analytics Market Size by Region (US$ Million), 2021–2026
Table 39. Asia-Pacific AI for Data Analytics Market Size by Region (US$ Million), 2027–2032
Table 40. Latin America AI for Data Analytics Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 41. Latin America AI for Data Analytics Market Size by Country (US$ Million), 2021–2026
Table 42. Latin America AI for Data Analytics Market Size by Country (US$ Million), 2027–2032
Table 43. Middle East & Africa AI for Data Analytics Market Size Growth Rate by Country (US$ Million): 2021 vs 2025 vs 2032
Table 44. Middle East & Africa AI for Data Analytics Market Size by Country (US$ Million), 2021–2026
Table 45. Middle East & Africa AI for Data Analytics Market Size by Country (US$ Million), 2027–2032
Table 46. IBM Company Details
Table 47. IBM Business Overview
Table 48. IBM AI for Data Analytics Product
Table 49. IBM Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 50. IBM Recent Development
Table 51. Alibaba Company Details
Table 52. Alibaba Business Overview
Table 53. Alibaba AI for Data Analytics Product
Table 54. Alibaba Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 55. Alibaba Recent Development
Table 56. AWS Company Details
Table 57. AWS Business Overview
Table 58. AWS AI for Data Analytics Product
Table 59. AWS Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 60. AWS Recent Development
Table 61. Baidu Company Details
Table 62. Baidu Business Overview
Table 63. Baidu AI for Data Analytics Product
Table 64. Baidu Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 65. Baidu Recent Development
Table 66. Cloudera Company Details
Table 67. Cloudera Business Overview
Table 68. Cloudera AI for Data Analytics Product
Table 69. Cloudera Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 70. Cloudera Recent Development
Table 71. Databricks Company Details
Table 72. Databricks Business Overview
Table 73. Databricks AI for Data Analytics Product
Table 74. Databricks Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 75. Databricks Recent Development
Table 76. DataRobot Company Details
Table 77. DataRobot Business Overview
Table 78. DataRobot AI for Data Analytics Product
Table 79. DataRobot Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 80. DataRobot Recent Development
Table 81. Google Cloud Company Details
Table 82. Google Cloud Business Overview
Table 83. Google Cloud AI for Data Analytics Product
Table 84. Google Cloud Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 85. Google Cloud Recent Development
Table 86. Huawei Company Details
Table 87. Huawei Business Overview
Table 88. Huawei AI for Data Analytics Product
Table 89. Huawei Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 90. Huawei Recent Development
Table 91. Microsoft Azure Company Details
Table 92. Microsoft Azure Business Overview
Table 93. Microsoft Azure AI for Data Analytics Product
Table 94. Microsoft Azure Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 95. Microsoft Azure Recent Development
Table 96. Oracle Company Details
Table 97. Oracle Business Overview
Table 98. Oracle AI for Data Analytics Product
Table 99. Oracle Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 100. Oracle Recent Development
Table 101. Palantir Company Details
Table 102. Palantir Business Overview
Table 103. Palantir AI for Data Analytics Product
Table 104. Palantir Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 105. Palantir Recent Development
Table 106. Qlik Company Details
Table 107. Qlik Business Overview
Table 108. Qlik AI for Data Analytics Product
Table 109. Qlik Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 110. Qlik Recent Development
Table 111. Salesforce Company Details
Table 112. Salesforce Business Overview
Table 113. Salesforce AI for Data Analytics Product
Table 114. Salesforce Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 115. Salesforce Recent Development
Table 116. SAP Company Details
Table 117. SAP Business Overview
Table 118. SAP AI for Data Analytics Product
Table 119. SAP Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 120. SAP Recent Development
Table 121. SAS Company Details
Table 122. SAS Business Overview
Table 123. SAS AI for Data Analytics Product
Table 124. SAS Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 125. SAS Recent Development
Table 126. Snowflake Company Details
Table 127. Snowflake Business Overview
Table 128. Snowflake AI for Data Analytics Product
Table 129. Snowflake Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 130. Snowflake Recent Development
Table 131. Splunk Company Details
Table 132. Splunk Business Overview
Table 133. Splunk AI for Data Analytics Product
Table 134. Splunk Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 135. Splunk Recent Development
Table 136. Tableau Company Details
Table 137. Tableau Business Overview
Table 138. Tableau AI for Data Analytics Product
Table 139. Tableau Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 140. Tableau Recent Development
Table 141. Teradata Company Details
Table 142. Teradata Business Overview
Table 143. Teradata AI for Data Analytics Product
Table 144. Teradata Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 145. Teradata Recent Development
Table 146. Innodata Company Details
Table 147. Innodata Business Overview
Table 148. Innodata AI for Data Analytics Product
Table 149. Innodata Revenue in AI for Data Analytics Business (US$ Million), 2021–2026
Table 150. Innodata Recent Development
Table 151. Research Programs/Design for This Report
Table 152. Key Data Information from Secondary Sources
Table 153. Key Data Information from Primary Sources
Table 154. Authors List of This Report
List of Figures
Figure 1. AI for Data Analytics Picture
Figure 2. Global AI for Data Analytics Market Size Comparison by Type (US$ Million), 2021–2032
Figure 3. Global AI for Data Analytics Market Share by Type: 2025 vs 2032
Figure 4. Cloud-based Features
Figure 5. Local Deployment Features
Figure 6. Global AI for Data Analytics Market Size by Application (US$ Million), 2021–2032
Figure 7. Global AI for Data Analytics Market Share by Application: 2025 vs 2032
Figure 8. Healthcare and Life Sciences Case Studies
Figure 9. Retail and E-Commerce Case Studies
Figure 10. Financial Services and Banking Case Studies
Figure 11. Manufacturing Case Studies
Figure 12. Others Case Studies
Figure 13. AI for Data Analytics Report Years Considered
Figure 14. Global AI for Data Analytics Market Size (US$ Million), Year-over-Year: 2021–2032
Figure 15. Global AI for Data Analytics Market Size, (US$ Million), 2021 vs 2025 vs 2032
Figure 16. Global AI for Data Analytics Market Share by Region: 2025 vs 2032
Figure 17. Global AI for Data Analytics Market Share by Players in 2025
Figure 18. Global AI for Data Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
Figure 19. The Top 10 and 5 Players Market Share by AI for Data Analytics Revenue in 2025
Figure 20. North America AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 21. North America AI for Data Analytics Market Share by Country (2021–2032)
Figure 22. United States AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 23. Canada AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 24. Europe AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 25. Europe AI for Data Analytics Market Share by Country (2021–2032)
Figure 26. Germany AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 27. France AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 28. U.K. AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 29. Italy AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 30. Russia AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 31. Ireland AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 32. Asia-Pacific AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 33. Asia-Pacific AI for Data Analytics Market Share by Region (2021–2032)
Figure 34. China AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 35. Japan AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 36. South Korea AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 37. Southeast Asia AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 38. India AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 39. Australia & New Zealand AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 40. Latin America AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 41. Latin America AI for Data Analytics Market Share by Country (2021–2032)
Figure 42. Mexico AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 43. Brazil AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 44. Middle East & Africa AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 45. Middle East & Africa AI for Data Analytics Market Share by Country (2021–2032)
Figure 46. Israel AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 47. Saudi Arabia AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 48. UAE AI for Data Analytics Market Size YoY Growth (US$ Million), 2021–2032
Figure 49. IBM Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 50. Alibaba Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 51. AWS Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 52. Baidu Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 53. Cloudera Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 54. Databricks Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 55. DataRobot Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 56. Google Cloud Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 57. Huawei Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 58. Microsoft Azure Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 59. Oracle Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 60. Palantir Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 61. Qlik Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 62. Salesforce Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 63. SAP Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 64. SAS Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 65. Snowflake Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 66. Splunk Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 67. Tableau Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 68. Teradata Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 69. Innodata Revenue Growth Rate in AI for Data Analytics Business (2021–2026)
Figure 70. Bottom-up and Top-down Approaches for This Report
Figure 71. Data Triangulation
Figure 72. Key Executives Interviewed
