AI big data analytics refers to the process of collecting, processing, analyzing, and interpreting large datasets using artificial intelligence technologies. It combines machine learning, natural language processing, deep learning, and statistical methods to extract valuable insights from complex, structured, and unstructured data. AI big data analytics not only accelerates data processing but also helps organizations identify potential trends, patterns, and anomalies within massive datasets to support decision-making.
The global AI Big Data Analytics market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for AI Big Data Analytics 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 Big Data Analytics 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 Big Data Analytics in Financial Services 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 Big Data Analytics include IBM, Google Cloud, AWS, Microsoft Azure, SAS, SAP, Oracle, Salesforce, Tableau, Alteryx, 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 Big Data Analytics, 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 Big Data Analytics.
The AI Big Data Analytics 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 Big Data Analytics 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 Big Data Analytics 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.
Market Segmentation
By Company
IBM
Google Cloud
AWS
Microsoft Azure
SAS
SAP
Oracle
Salesforce
Tableau
Alteryx
Splunk
Palantir
Databricks
Teradata
Cloudera
H2O.ai
DataRobot
Snowflake
Altair RapidMiner
Qlik
Baidu
Alibaba
Huawei
Segment by Type
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Stream Processing Analytics
Machine Learning-Driven Analytics
Segment by Application
Financial Services
Healthcare
Retail
Manufacturing
Logistics and Transportation
Government and Public Services
Energy
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 Big Data Analytics 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 Market Analysis by Type
1.2.1 Global AI Big Data Analytics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Descriptive Analytics
1.2.3 Diagnostic Analytics
1.2.4 Predictive Analytics
1.2.5 Prescriptive Analytics
1.2.6 Stream Processing Analytics
1.2.7 Machine Learning-Driven Analytics
1.3 Market by Application
1.3.1 Global AI Big Data Analytics Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Financial Services
1.3.3 Healthcare
1.3.4 Retail
1.3.5 Manufacturing
1.3.6 Logistics and Transportation
1.3.7 Government and Public Services
1.3.8 Energy
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Big Data Analytics Market Perspective (2019-2030)
2.2 Global AI Big Data Analytics Growth Trends by Region
2.2.1 Global AI Big Data Analytics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Big Data Analytics Historic Market Size by Region (2019-2024)
2.2.3 AI Big Data Analytics Forecasted Market Size by Region (2025-2030)
2.3 AI Big Data Analytics Market Dynamics
2.3.1 AI Big Data Analytics Industry Trends
2.3.2 AI Big Data Analytics Market Drivers
2.3.3 AI Big Data Analytics Market Challenges
2.3.4 AI Big Data Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Big Data Analytics Players by Revenue
3.1.1 Global Top AI Big Data Analytics Players by Revenue (2019-2024)
3.1.2 Global AI Big Data Analytics Revenue Market Share by Players (2019-2024)
3.2 Global AI Big Data Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Big Data Analytics Revenue
3.4 Global AI Big Data Analytics Market Concentration Ratio
3.4.1 Global AI Big Data Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Big Data Analytics Revenue in 2023
3.5 Global Key Players of AI Big Data Analytics Head office and Area Served
3.6 Global Key Players of AI Big Data Analytics, Product and Application
3.7 Global Key Players of AI Big Data Analytics, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Big Data Analytics Breakdown Data by Type
4.1 Global AI Big Data Analytics Historic Market Size by Type (2019-2024)
4.2 Global AI Big Data Analytics Forecasted Market Size by Type (2025-2030)
5 AI Big Data Analytics Breakdown Data by Application
5.1 Global AI Big Data Analytics Historic Market Size by Application (2019-2024)
5.2 Global AI Big Data Analytics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Big Data Analytics Market Size (2019-2030)
6.2 North America AI Big Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Big Data Analytics Market Size by Country (2019-2024)
6.4 North America AI Big Data Analytics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Big Data Analytics Market Size (2019-2030)
7.2 Europe AI Big Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Big Data Analytics Market Size by Country (2019-2024)
7.4 Europe AI Big Data Analytics Market 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 Big Data Analytics Market Size (2019-2030)
8.2 Asia-Pacific AI Big Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Big Data Analytics Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Big Data Analytics Market 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 Big Data Analytics Market Size (2019-2030)
9.2 Latin America AI Big Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Big Data Analytics Market Size by Country (2019-2024)
9.4 Latin America AI Big Data Analytics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Big Data Analytics Market Size (2019-2030)
10.2 Middle East & Africa AI Big Data Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Big Data Analytics Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Big Data Analytics Market Size by Country (2025-2030)
10.5 Turkey
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 Big Data Analytics Introduction
11.1.4 IBM Revenue in AI Big Data Analytics Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Google Cloud
11.2.1 Google Cloud Company Details
11.2.2 Google Cloud Business Overview
11.2.3 Google Cloud AI Big Data Analytics Introduction
11.2.4 Google Cloud Revenue in AI Big Data Analytics Business (2019-2024)
11.2.5 Google Cloud Recent Development
11.3 AWS
11.3.1 AWS Company Details
11.3.2 AWS Business Overview
11.3.3 AWS AI Big Data Analytics Introduction
11.3.4 AWS Revenue in AI Big Data Analytics Business (2019-2024)
11.3.5 AWS Recent Development
11.4 Microsoft Azure
11.4.1 Microsoft Azure Company Details
11.4.2 Microsoft Azure Business Overview
11.4.3 Microsoft Azure AI Big Data Analytics Introduction
11.4.4 Microsoft Azure Revenue in AI Big Data Analytics Business (2019-2024)
11.4.5 Microsoft Azure Recent Development
11.5 SAS
11.5.1 SAS Company Details
11.5.2 SAS Business Overview
11.5.3 SAS AI Big Data Analytics Introduction
11.5.4 SAS Revenue in AI Big Data Analytics Business (2019-2024)
11.5.5 SAS Recent Development
11.6 SAP
11.6.1 SAP Company Details
11.6.2 SAP Business Overview
11.6.3 SAP AI Big Data Analytics Introduction
11.6.4 SAP Revenue in AI Big Data Analytics Business (2019-2024)
11.6.5 SAP Recent Development
11.7 Oracle
11.7.1 Oracle Company Details
11.7.2 Oracle Business Overview
11.7.3 Oracle AI Big Data Analytics Introduction
11.7.4 Oracle Revenue in AI Big Data Analytics Business (2019-2024)
11.7.5 Oracle Recent Development
11.8 Salesforce
11.8.1 Salesforce Company Details
11.8.2 Salesforce Business Overview
11.8.3 Salesforce AI Big Data Analytics Introduction
11.8.4 Salesforce Revenue in AI Big Data Analytics Business (2019-2024)
11.8.5 Salesforce Recent Development
11.9 Tableau
11.9.1 Tableau Company Details
11.9.2 Tableau Business Overview
11.9.3 Tableau AI Big Data Analytics Introduction
11.9.4 Tableau Revenue in AI Big Data Analytics Business (2019-2024)
11.9.5 Tableau Recent Development
11.10 Alteryx
11.10.1 Alteryx Company Details
11.10.2 Alteryx Business Overview
11.10.3 Alteryx AI Big Data Analytics Introduction
11.10.4 Alteryx Revenue in AI Big Data Analytics Business (2019-2024)
11.10.5 Alteryx Recent Development
11.11 Splunk
11.11.1 Splunk Company Details
11.11.2 Splunk Business Overview
11.11.3 Splunk AI Big Data Analytics Introduction
11.11.4 Splunk Revenue in AI Big Data Analytics Business (2019-2024)
11.11.5 Splunk Recent Development
11.12 Palantir
11.12.1 Palantir Company Details
11.12.2 Palantir Business Overview
11.12.3 Palantir AI Big Data Analytics Introduction
11.12.4 Palantir Revenue in AI Big Data Analytics Business (2019-2024)
11.12.5 Palantir Recent Development
11.13 Databricks
11.13.1 Databricks Company Details
11.13.2 Databricks Business Overview
11.13.3 Databricks AI Big Data Analytics Introduction
11.13.4 Databricks Revenue in AI Big Data Analytics Business (2019-2024)
11.13.5 Databricks Recent Development
11.14 Teradata
11.14.1 Teradata Company Details
11.14.2 Teradata Business Overview
11.14.3 Teradata AI Big Data Analytics Introduction
11.14.4 Teradata Revenue in AI Big Data Analytics Business (2019-2024)
11.14.5 Teradata Recent Development
11.15 Cloudera
11.15.1 Cloudera Company Details
11.15.2 Cloudera Business Overview
11.15.3 Cloudera AI Big Data Analytics Introduction
11.15.4 Cloudera Revenue in AI Big Data Analytics Business (2019-2024)
11.15.5 Cloudera Recent Development
11.16 H2O.ai
11.16.1 H2O.ai Company Details
11.16.2 H2O.ai Business Overview
11.16.3 H2O.ai AI Big Data Analytics Introduction
11.16.4 H2O.ai Revenue in AI Big Data Analytics Business (2019-2024)
11.16.5 H2O.ai Recent Development
11.17 DataRobot
11.17.1 DataRobot Company Details
11.17.2 DataRobot Business Overview
11.17.3 DataRobot AI Big Data Analytics Introduction
11.17.4 DataRobot Revenue in AI Big Data Analytics Business (2019-2024)
11.17.5 DataRobot Recent Development
11.18 Snowflake
11.18.1 Snowflake Company Details
11.18.2 Snowflake Business Overview
11.18.3 Snowflake AI Big Data Analytics Introduction
11.18.4 Snowflake Revenue in AI Big Data Analytics Business (2019-2024)
11.18.5 Snowflake Recent Development
11.19 Altair RapidMiner
11.19.1 Altair RapidMiner Company Details
11.19.2 Altair RapidMiner Business Overview
11.19.3 Altair RapidMiner AI Big Data Analytics Introduction
11.19.4 Altair RapidMiner Revenue in AI Big Data Analytics Business (2019-2024)
11.19.5 Altair RapidMiner Recent Development
11.20 Qlik
11.20.1 Qlik Company Details
11.20.2 Qlik Business Overview
11.20.3 Qlik AI Big Data Analytics Introduction
11.20.4 Qlik Revenue in AI Big Data Analytics Business (2019-2024)
11.20.5 Qlik Recent Development
11.21 Baidu
11.21.1 Baidu Company Details
11.21.2 Baidu Business Overview
11.21.3 Baidu AI Big Data Analytics Introduction
11.21.4 Baidu Revenue in AI Big Data Analytics Business (2019-2024)
11.21.5 Baidu Recent Development
11.22 Alibaba
11.22.1 Alibaba Company Details
11.22.2 Alibaba Business Overview
11.22.3 Alibaba AI Big Data Analytics Introduction
11.22.4 Alibaba Revenue in AI Big Data Analytics Business (2019-2024)
11.22.5 Alibaba Recent Development
11.23 Huawei
11.23.1 Huawei Company Details
11.23.2 Huawei Business Overview
11.23.3 Huawei AI Big Data Analytics Introduction
11.23.4 Huawei Revenue in AI Big Data Analytics Business (2019-2024)
11.23.5 Huawei 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
IBM
Google Cloud
AWS
Microsoft Azure
SAS
SAP
Oracle
Salesforce
Tableau
Alteryx
Splunk
Palantir
Databricks
Teradata
Cloudera
H2O.ai
DataRobot
Snowflake
Altair RapidMiner
Qlik
Baidu
Alibaba
Huawei
听
听
*If Applicable.
