The global market for AI Data Analytics Tools was valued at US$ 2707 million in the year 2023 and is projected to reach a revised size of US$ 17130 million by 2030, growing at a CAGR of 32.6% during the forecast period.
AI Data Analytics Tools refer to software solutions that leverage artificial intelligence to analyze and interpret large datasets. These tools use machine learning algorithms, statistical methods, and data mining techniques to identify patterns, make predictions, and provide insights from complex data. They help organizations make data-driven decisions, optimize processes, and gain actionable intelligence for various applications such as marketing, finance, operations, and customer service.
North American market for AI Data Analytics Tools is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI Data Analytics Tools is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI Data Analytics Tools in Healthcare and Life Sciences is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI Data Analytics Tools include Tableau Pulse, Qlik, Sisense, Akkio, Coefficient, Domo, Julius AI, Microstrategy, MonkeyLearn, Polymer, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Data Analytics Tools, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Data Analytics Tools.
The AI Data Analytics Tools market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Data Analytics Tools market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Data Analytics Tools companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Tableau Pulse
Qlik
Sisense
Akkio
Coefficient
Domo
Julius AI
Microstrategy
MonkeyLearn
Polymer
Pyramid
Quid
ThoughtSpot
YellowfinBI
IBM
Google Cloud
AWS
Microsoft Azure
SAS
SAP
Oracle
Salesforce
Tableau
Alteryx
Baidu
Alibaba
Huawei
Innodata
Segment by Type
Cloud-based
Local Deployment
Segment by Application
Healthcare and Life Sciences
Retail and E-Commerce
Financial Services and Banking
Manufacturing and Industry 4.0
Telecommunications
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Data Analytics Tools company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI Data Analytics Tools 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 Local Deployment
1.3 麻豆原创 by Application
1.3.1 Global AI Data Analytics Tools 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
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 and Industry 4.0
1.3.6 Telecommunications
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Data Analytics Tools 麻豆原创 Perspective (2019-2030)
2.2 Global AI Data Analytics Tools Growth Trends by Region
2.2.1 Global AI Data Analytics Tools 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Data Analytics Tools Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 AI Data Analytics Tools Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 AI Data Analytics Tools 麻豆原创 Dynamics
2.3.1 AI Data Analytics Tools Industry Trends
2.3.2 AI Data Analytics Tools 麻豆原创 Drivers
2.3.3 AI Data Analytics Tools 麻豆原创 Challenges
2.3.4 AI Data Analytics Tools 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Data Analytics Tools Players by Revenue
3.1.1 Global Top AI Data Analytics Tools Players by Revenue (2019-2024)
3.1.2 Global AI Data Analytics Tools Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global AI Data Analytics Tools 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Data Analytics Tools Revenue
3.4 Global AI Data Analytics Tools 麻豆原创 Concentration Ratio
3.4.1 Global AI Data Analytics Tools 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Data Analytics Tools Revenue in 2023
3.5 Global Key Players of AI Data Analytics Tools Head office and Area Served
3.6 Global Key Players of AI Data Analytics Tools, Product and Application
3.7 Global Key Players of AI Data Analytics Tools, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Data Analytics Tools Breakdown Data by Type
4.1 Global AI Data Analytics Tools Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global AI Data Analytics Tools Forecasted 麻豆原创 Size by Type (2025-2030)
5 AI Data Analytics Tools Breakdown Data by Application
5.1 Global AI Data Analytics Tools Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global AI Data Analytics Tools Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America AI Data Analytics Tools 麻豆原创 Size (2019-2030)
6.2 North America AI Data Analytics Tools 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Data Analytics Tools 麻豆原创 Size by Country (2019-2024)
6.4 North America AI Data Analytics Tools 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Data Analytics Tools 麻豆原创 Size (2019-2030)
7.2 Europe AI Data Analytics Tools 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Data Analytics Tools 麻豆原创 Size by Country (2019-2024)
7.4 Europe AI Data Analytics Tools 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Data Analytics Tools 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific AI Data Analytics Tools 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Data Analytics Tools 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific AI Data Analytics Tools 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Data Analytics Tools 麻豆原创 Size (2019-2030)
9.2 Latin America AI Data Analytics Tools 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Data Analytics Tools 麻豆原创 Size by Country (2019-2024)
9.4 Latin America AI Data Analytics Tools 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Data Analytics Tools 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa AI Data Analytics Tools 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Data Analytics Tools 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa AI Data Analytics Tools 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Tableau Pulse
11.1.1 Tableau Pulse Company Details
11.1.2 Tableau Pulse Business Overview
11.1.3 Tableau Pulse AI Data Analytics Tools Introduction
11.1.4 Tableau Pulse Revenue in AI Data Analytics Tools Business (2019-2024)
11.1.5 Tableau Pulse Recent Development
11.2 Qlik
11.2.1 Qlik Company Details
11.2.2 Qlik Business Overview
11.2.3 Qlik AI Data Analytics Tools Introduction
11.2.4 Qlik Revenue in AI Data Analytics Tools Business (2019-2024)
11.2.5 Qlik Recent Development
11.3 Sisense
11.3.1 Sisense Company Details
11.3.2 Sisense Business Overview
11.3.3 Sisense AI Data Analytics Tools Introduction
11.3.4 Sisense Revenue in AI Data Analytics Tools Business (2019-2024)
11.3.5 Sisense Recent Development
11.4 Akkio
11.4.1 Akkio Company Details
11.4.2 Akkio Business Overview
11.4.3 Akkio AI Data Analytics Tools Introduction
11.4.4 Akkio Revenue in AI Data Analytics Tools Business (2019-2024)
11.4.5 Akkio Recent Development
11.5 Coefficient
11.5.1 Coefficient Company Details
11.5.2 Coefficient Business Overview
11.5.3 Coefficient AI Data Analytics Tools Introduction
11.5.4 Coefficient Revenue in AI Data Analytics Tools Business (2019-2024)
11.5.5 Coefficient Recent Development
11.6 Domo
11.6.1 Domo Company Details
11.6.2 Domo Business Overview
11.6.3 Domo AI Data Analytics Tools Introduction
11.6.4 Domo Revenue in AI Data Analytics Tools Business (2019-2024)
11.6.5 Domo Recent Development
11.7 Julius AI
11.7.1 Julius AI Company Details
11.7.2 Julius AI Business Overview
11.7.3 Julius AI AI Data Analytics Tools Introduction
11.7.4 Julius AI Revenue in AI Data Analytics Tools Business (2019-2024)
11.7.5 Julius AI Recent Development
11.8 Microstrategy
11.8.1 Microstrategy Company Details
11.8.2 Microstrategy Business Overview
11.8.3 Microstrategy AI Data Analytics Tools Introduction
11.8.4 Microstrategy Revenue in AI Data Analytics Tools Business (2019-2024)
11.8.5 Microstrategy Recent Development
11.9 MonkeyLearn
11.9.1 MonkeyLearn Company Details
11.9.2 MonkeyLearn Business Overview
11.9.3 MonkeyLearn AI Data Analytics Tools Introduction
11.9.4 MonkeyLearn Revenue in AI Data Analytics Tools Business (2019-2024)
11.9.5 MonkeyLearn Recent Development
11.10 Polymer
11.10.1 Polymer Company Details
11.10.2 Polymer Business Overview
11.10.3 Polymer AI Data Analytics Tools Introduction
11.10.4 Polymer Revenue in AI Data Analytics Tools Business (2019-2024)
11.10.5 Polymer Recent Development
11.11 Pyramid
11.11.1 Pyramid Company Details
11.11.2 Pyramid Business Overview
11.11.3 Pyramid AI Data Analytics Tools Introduction
11.11.4 Pyramid Revenue in AI Data Analytics Tools Business (2019-2024)
11.11.5 Pyramid Recent Development
11.12 Quid
11.12.1 Quid Company Details
11.12.2 Quid Business Overview
11.12.3 Quid AI Data Analytics Tools Introduction
11.12.4 Quid Revenue in AI Data Analytics Tools Business (2019-2024)
11.12.5 Quid Recent Development
11.13 ThoughtSpot
11.13.1 ThoughtSpot Company Details
11.13.2 ThoughtSpot Business Overview
11.13.3 ThoughtSpot AI Data Analytics Tools Introduction
11.13.4 ThoughtSpot Revenue in AI Data Analytics Tools Business (2019-2024)
11.13.5 ThoughtSpot Recent Development
11.14 YellowfinBI
11.14.1 YellowfinBI Company Details
11.14.2 YellowfinBI Business Overview
11.14.3 YellowfinBI AI Data Analytics Tools Introduction
11.14.4 YellowfinBI Revenue in AI Data Analytics Tools Business (2019-2024)
11.14.5 YellowfinBI Recent Development
11.15 IBM
11.15.1 IBM Company Details
11.15.2 IBM Business Overview
11.15.3 IBM AI Data Analytics Tools Introduction
11.15.4 IBM Revenue in AI Data Analytics Tools Business (2019-2024)
11.15.5 IBM Recent Development
11.16 Google Cloud
11.16.1 Google Cloud Company Details
11.16.2 Google Cloud Business Overview
11.16.3 Google Cloud AI Data Analytics Tools Introduction
11.16.4 Google Cloud Revenue in AI Data Analytics Tools Business (2019-2024)
11.16.5 Google Cloud Recent Development
11.17 AWS
11.17.1 AWS Company Details
11.17.2 AWS Business Overview
11.17.3 AWS AI Data Analytics Tools Introduction
11.17.4 AWS Revenue in AI Data Analytics Tools Business (2019-2024)
11.17.5 AWS Recent Development
11.18 Microsoft Azure
11.18.1 Microsoft Azure Company Details
11.18.2 Microsoft Azure Business Overview
11.18.3 Microsoft Azure AI Data Analytics Tools Introduction
11.18.4 Microsoft Azure Revenue in AI Data Analytics Tools Business (2019-2024)
11.18.5 Microsoft Azure Recent Development
11.19 SAS
11.19.1 SAS Company Details
11.19.2 SAS Business Overview
11.19.3 SAS AI Data Analytics Tools Introduction
11.19.4 SAS Revenue in AI Data Analytics Tools Business (2019-2024)
11.19.5 SAS Recent Development
11.20 SAP
11.20.1 SAP Company Details
11.20.2 SAP Business Overview
11.20.3 SAP AI Data Analytics Tools Introduction
11.20.4 SAP Revenue in AI Data Analytics Tools Business (2019-2024)
11.20.5 SAP Recent Development
11.21 Oracle
11.21.1 Oracle Company Details
11.21.2 Oracle Business Overview
11.21.3 Oracle AI Data Analytics Tools Introduction
11.21.4 Oracle Revenue in AI Data Analytics Tools Business (2019-2024)
11.21.5 Oracle Recent Development
11.22 Salesforce
11.22.1 Salesforce Company Details
11.22.2 Salesforce Business Overview
11.22.3 Salesforce AI Data Analytics Tools Introduction
11.22.4 Salesforce Revenue in AI Data Analytics Tools Business (2019-2024)
11.22.5 Salesforce Recent Development
11.23 Tableau
11.23.1 Tableau Company Details
11.23.2 Tableau Business Overview
11.23.3 Tableau AI Data Analytics Tools Introduction
11.23.4 Tableau Revenue in AI Data Analytics Tools Business (2019-2024)
11.23.5 Tableau Recent Development
11.24 Alteryx
11.24.1 Alteryx Company Details
11.24.2 Alteryx Business Overview
11.24.3 Alteryx AI Data Analytics Tools Introduction
11.24.4 Alteryx Revenue in AI Data Analytics Tools Business (2019-2024)
11.24.5 Alteryx Recent Development
11.25 Baidu
11.25.1 Baidu Company Details
11.25.2 Baidu Business Overview
11.25.3 Baidu AI Data Analytics Tools Introduction
11.25.4 Baidu Revenue in AI Data Analytics Tools Business (2019-2024)
11.25.5 Baidu Recent Development
11.26 Alibaba
11.26.1 Alibaba Company Details
11.26.2 Alibaba Business Overview
11.26.3 Alibaba AI Data Analytics Tools Introduction
11.26.4 Alibaba Revenue in AI Data Analytics Tools Business (2019-2024)
11.26.5 Alibaba Recent Development
11.27 Huawei
11.27.1 Huawei Company Details
11.27.2 Huawei Business Overview
11.27.3 Huawei AI Data Analytics Tools Introduction
11.27.4 Huawei Revenue in AI Data Analytics Tools Business (2019-2024)
11.27.5 Huawei Recent Development
11.28 Innodata
11.28.1 Innodata Company Details
11.28.2 Innodata Business Overview
11.28.3 Innodata AI Data Analytics Tools Introduction
11.28.4 Innodata Revenue in AI Data Analytics Tools Business (2019-2024)
11.28.5 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 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 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
Tableau Pulse
Qlik
Sisense
Akkio
Coefficient
Domo
Julius AI
Microstrategy
MonkeyLearn
Polymer
Pyramid
Quid
ThoughtSpot
YellowfinBI
IBM
Google Cloud
AWS
Microsoft Azure
SAS
SAP
Oracle
Salesforce
Tableau
Alteryx
Baidu
Alibaba
Huawei
Innodata
听
听
*If Applicable.
