Industry: Service & Software
Published Date: 2025-07-30
Pages: 105 Pages
Report ld: 4803438
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AI Date Building for Enterprise Market Size(US$)

CAGR 2025-2031
16.2%
Market Size,2031
USD 17,717
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for AI Date Building for Enterprise was valued at US$ 6719 million in the year 2024 and is projected to reach a revised size of US$ 17717 million by 2031, growing at a CAGR of 16.2% during the forecast period.
AI Date Building for Enterprise refers to the process of systematically building data assets to meet the needs of model training, deployment and continuous optimization in the process of promoting the implementation of artificial intelligence (AI) applications. It covers multiple stages such as data collection, processing, labeling, governance, integration and continuous operation, aiming to build a high-quality, reusable and controllable data foundation to provide solid data support for enterprise AI systems.
North American market for AI Date Building for Enterprise is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI Date Building for Enterprise is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI Date Building for Enterprise in Fintech is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI Date Building for Enterprise include NVIDIA GeForce NOW, Cohere, DataRobot, Dataiku, IBM Watson, Corraldata, Dynatrace, IBM, Microsoft, Zoho, etc. In 2024, 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 Date Building for Enterprise, 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 Date Building for Enterprise.
The AI Date Building for Enterprise market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI Date Building for Enterprise 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 Date Building for Enterprise 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
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 Date Building for Enterprise 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.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Date Building for Enterprise Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Agent AI
1.2.3 Conversational AI
1.2.4 Others
1.3 Market by Application
1.3.1 Global AI Date Building for Enterprise Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Fintech
1.3.3 Banking
1.3.4 Manufacturing
1.3.5 E-Commerce
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 Date Building for Enterprise Market Perspective (2020-2031)
2.2 Global AI Date Building for Enterprise Growth Trends by Region
2.2.1 Global AI Date Building for Enterprise Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Date Building for Enterprise Historic Market Size by Region (2020-2025)
2.2.3 AI Date Building for Enterprise Forecasted Market Size by Region (2026-2031)
2.3 AI Date Building for Enterprise Market Dynamics
2.3.1 AI Date Building for Enterprise Industry Trends
2.3.2 AI Date Building for Enterprise Market Drivers
2.3.3 AI Date Building for Enterprise Market Challenges
2.3.4 AI Date Building for Enterprise Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Date Building for Enterprise Players by Revenue
3.1.1 Global Top AI Date Building for Enterprise Players by Revenue (2020-2025)
3.1.2 Global AI Date Building for Enterprise Revenue Market Share by Players (2020-2025)
3.2 Global Top AI Date Building for Enterprise Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Date Building for Enterprise Revenue
3.4 Global AI Date Building for Enterprise Market Concentration Ratio
3.4.1 Global AI Date Building for Enterprise Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Date Building for Enterprise Revenue in 2024
3.5 Global Key Players of AI Date Building for Enterprise Head office and Area Served
3.6 Global Key Players of AI Date Building for Enterprise, Product and Application
3.7 Global Key Players of AI Date Building for Enterprise, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Date Building for Enterprise Breakdown Data by Type
4.1 Global AI Date Building for Enterprise Historic Market Size by Type (2020-2025)
4.2 Global AI Date Building for Enterprise Forecasted Market Size by Type (2026-2031)
5 AI Date Building for Enterprise Breakdown Data by Application
5.1 Global AI Date Building for Enterprise Historic Market Size by Application (2020-2025)
5.2 Global AI Date Building for Enterprise Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI Date Building for Enterprise Market Size (2020-2031)
6.2 North America AI Date Building for Enterprise Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI Date Building for Enterprise Market Size by Country (2020-2025)
6.4 North America AI Date Building for Enterprise Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Date Building for Enterprise Market Size (2020-2031)
7.2 Europe AI Date Building for Enterprise Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI Date Building for Enterprise Market Size by Country (2020-2025)
7.4 Europe AI Date Building for Enterprise Market Size by Country (2026-2031)
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 Date Building for Enterprise Market Size (2020-2031)
8.2 Asia-Pacific AI Date Building for Enterprise Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI Date Building for Enterprise Market Size by Region (2020-2025)
8.4 Asia-Pacific AI Date Building for Enterprise Market Size by Region (2026-2031)
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 Date Building for Enterprise Market Size (2020-2031)
9.2 Latin America AI Date Building for Enterprise Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI Date Building for Enterprise Market Size by Country (2020-2025)
9.4 Latin America AI Date Building for Enterprise Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Date Building for Enterprise Market Size (2020-2031)
10.2 Middle East & Africa AI Date Building for Enterprise Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI Date Building for Enterprise Market Size by Country (2020-2025)
10.4 Middle East & Africa AI Date Building for Enterprise Market Size by Country (2026-2031)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA GeForce NOW
11.1.1 NVIDIA GeForce NOW Company Details
11.1.2 NVIDIA GeForce NOW Business Overview
11.1.3 NVIDIA GeForce NOW AI Date Building for Enterprise Introduction
11.1.4 NVIDIA GeForce NOW Revenue in AI Date Building for Enterprise Business (2020-2025)
11.1.5 NVIDIA GeForce NOW Recent Development
11.2 Cohere
11.2.1 Cohere Company Details
11.2.2 Cohere Business Overview
11.2.3 Cohere AI Date Building for Enterprise Introduction
11.2.4 Cohere Revenue in AI Date Building for Enterprise Business (2020-2025)
11.2.5 Cohere Recent Development
11.3 DataRobot
11.3.1 DataRobot Company Details
11.3.2 DataRobot Business Overview
11.3.3 DataRobot AI Date Building for Enterprise Introduction
11.3.4 DataRobot Revenue in AI Date Building for Enterprise Business (2020-2025)
11.3.5 DataRobot Recent Development
11.4 Dataiku
11.4.1 Dataiku Company Details
11.4.2 Dataiku Business Overview
11.4.3 Dataiku AI Date Building for Enterprise Introduction
11.4.4 Dataiku Revenue in AI Date Building for Enterprise Business (2020-2025)
11.4.5 Dataiku Recent Development
11.5 IBM Watson
11.5.1 IBM Watson Company Details
11.5.2 IBM Watson Business Overview
11.5.3 IBM Watson AI Date Building for Enterprise Introduction
11.5.4 IBM Watson Revenue in AI Date Building for Enterprise Business (2020-2025)
11.5.5 IBM Watson Recent Development
11.6 Corraldata
11.6.1 Corraldata Company Details
11.6.2 Corraldata Business Overview
11.6.3 Corraldata AI Date Building for Enterprise Introduction
11.6.4 Corraldata Revenue in AI Date Building for Enterprise Business (2020-2025)
11.6.5 Corraldata Recent Development
11.7 Dynatrace
11.7.1 Dynatrace Company Details
11.7.2 Dynatrace Business Overview
11.7.3 Dynatrace AI Date Building for Enterprise Introduction
11.7.4 Dynatrace Revenue in AI Date Building for Enterprise Business (2020-2025)
11.7.5 Dynatrace Recent Development
11.8 IBM
11.8.1 IBM Company Details
11.8.2 IBM Business Overview
11.8.3 IBM AI Date Building for Enterprise Introduction
11.8.4 IBM Revenue in AI Date Building for Enterprise Business (2020-2025)
11.8.5 IBM Recent Development
11.9 Microsoft
11.9.1 Microsoft Company Details
11.9.2 Microsoft Business Overview
11.9.3 Microsoft AI Date Building for Enterprise Introduction
11.9.4 Microsoft Revenue in AI Date Building for Enterprise Business (2020-2025)
11.9.5 Microsoft Recent Development
11.10 Zoho
11.10.1 Zoho Company Details
11.10.2 Zoho Business Overview
11.10.3 Zoho AI Date Building for Enterprise Introduction
11.10.4 Zoho Revenue in AI Date Building for Enterprise Business (2020-2025)
11.10.5 Zoho Recent Development
11.11 PagerDuty
11.11.1 PagerDuty Company Details
11.11.2 PagerDuty Business Overview
11.11.3 PagerDuty AI Date Building for Enterprise Introduction
11.11.4 PagerDuty Revenue in AI Date Building for Enterprise Business (2020-2025)
11.11.5 PagerDuty Recent Development
11.12 DDN
11.12.1 DDN Company Details
11.12.2 DDN Business Overview
11.12.3 DDN AI Date Building for Enterprise Introduction
11.12.4 DDN Revenue in AI Date Building for Enterprise Business (2020-2025)
11.12.5 DDN Recent Development
11.13 Alteryx
11.13.1 Alteryx Company Details
11.13.2 Alteryx Business Overview
11.13.3 Alteryx AI Date Building for Enterprise Introduction
11.13.4 Alteryx Revenue in AI Date Building for Enterprise Business (2020-2025)
11.13.5 Alteryx Recent Development
11.14 Altair
11.14.1 Altair Company Details
11.14.2 Altair Business Overview
11.14.3 Altair AI Date Building for Enterprise Introduction
11.14.4 Altair Revenue in AI Date Building for Enterprise Business (2020-2025)
11.14.5 Altair Recent Development
11.15 Databricks
11.15.1 Databricks Company Details
11.15.2 Databricks Business Overview
11.15.3 Databricks AI Date Building for Enterprise Introduction
11.15.4 Databricks Revenue in AI Date Building for Enterprise Business (2020-2025)
11.15.5 Databricks Recent Development
11.16 Real AI
11.16.1 Real AI Company Details
11.16.2 Real AI Business Overview
11.16.3 Real AI AI Date Building for Enterprise Introduction
11.16.4 Real AI Revenue in AI Date Building for Enterprise Business (2020-2025)
11.16.5 Real AI Recent Development
11.17 Google Cloud
11.17.1 Google Cloud Company Details
11.17.2 Google Cloud Business Overview
11.17.3 Google Cloud AI Date Building for Enterprise Introduction
11.17.4 Google Cloud Revenue in AI Date Building for Enterprise Business (2020-2025)
11.17.5 Google Cloud Recent Development
11.18 Informatica
11.18.1 Informatica Company Details
11.18.2 Informatica Business Overview
11.18.3 Informatica AI Date Building for Enterprise Introduction
11.18.4 Informatica Revenue in AI Date Building for Enterprise Business (2020-2025)
11.18.5 Informatica Recent Development
11.19 Ice Kredit
11.19.1 Ice Kredit Company Details
11.19.2 Ice Kredit Business Overview
11.19.3 Ice Kredit AI Date Building for Enterprise Introduction
11.19.4 Ice Kredit Revenue in AI Date Building for Enterprise Business (2020-2025)
11.19.5 Ice Kredit Recent Development
11.20 OpenText
11.20.1 OpenText Company Details
11.20.2 OpenText Business Overview
11.20.3 OpenText AI Date Building for Enterprise Introduction
11.20.4 OpenText Revenue in AI Date Building for Enterprise Business (2020-2025)
11.20.5 OpenText Recent Development
11.21 Supermicro
11.21.1 Supermicro Company Details
11.21.2 Supermicro Business Overview
11.21.3 Supermicro AI Date Building for Enterprise Introduction
11.21.4 Supermicro Revenue in AI Date Building for Enterprise Business (2020-2025)
11.21.5 Supermicro 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
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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The global AI Date Building for Enterprise market was valued at US$ 7201 million in 2025 and is anticipated to reach US$ 20300 million by 2032, at a CAGR of 16.2% from 2026 to 2032.
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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