PUBLISHER: TechNavio | PRODUCT CODE: 2172772
PUBLISHER: TechNavio | PRODUCT CODE: 2172772
Global AI In Data Quality Market 2026-2030
The global AI in data quality market is forecasted to grow by USD 2353.6 mn during 2025-2030, accelerating at a CAGR of 23.3% during the forecast period. The report on the global AI in data quality market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by expanding adoption of gen AI applications, expansion of cloud-native and hybrid data ecosystems, growing business reliance on real-time analytics and decision intelligence.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2030 |
| Series Year | 2026-2030 |
| Growth Momentum | Accelerate |
| YOY 2026 | 20.4% |
| CAGR | 23.3% |
| Incremental Value | $2353.6 mn |
Technavio's global AI in data quality market is segmented as below:
By Component
- Software
- Services
By Deployment
- Cloud-based
- On-premises
By Application
- BFSI
- IT and telecommunications
- Healthcare
- Retail and e-commerce
- Others
Geography
- North America
- US
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- The Netherlands
- Italy
- Spain
- APAC
- China
- Japan
- India
- Australia
- South Korea
- Singapore
- South America
- Brazil
- Argentina
- Colombia
- Middle East and Africa
- UAE
- South Africa
- Qatar
- Rest of World (ROW)
This study identifies the shift toward autonomous data quality management as one of the prime reasons driving the global AI in data quality market growth during the next few years. Also, convergence of data quality with data intelligence and observability platforms and growing adoption of embedded and API-driven quality services will lead to sizable demand in the market.
The report on the global AI in data quality market covers the following areas:
- Global AI in data quality market sizing
- Global AI in data quality market forecast
- Global AI in data quality market industry analysis
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI in data quality market vendors that include Alibaba Cloud, Altair Engineering Inc., Amazon Web Services Inc., Capgemini SE, Cognizant Technology Solution, Fair Isaac Corp., Hewlett Packard Enterprise Co., IBM Corp., Informatica Inc., Infosys Ltd., Microsoft Corp., NTT DATA Corp., Open Text Corp., Oracle Corp., Palantir Technologies Inc., QlikTech International AB, Salesforce Inc., SAP SE, Splunk Inc., Tata Consultancy Services, Tencent Cloud Co. Ltd., Teradata Corp., TIBCO Software Inc., Zoho Corp. Pvt. Ltd.. Also, the global AI in data quality market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- 2.3 Factors of disruption
- 2.4 Impact of drivers and challenges
3 Market Landscape
- 3.1 Market ecosystem
- 3.2 Market characteristics
- 3.3 Value chain analysis
4 Market Sizing
- 4.1 Market definition
- 4.2 Market segment analysis
- Market segments
- 4.3 Market size 2025
- 4.4 Market outlook: Forecast for 2025-2030
5 Historic Market Size
- 5.1 Global AI In Data Quality Market 2020 - 2024
- Historic Market Size - Data Table on Global AI In Data Quality Market 2020 - 2024 ($ million)
- 5.2 Component segment analysis 2020 - 2024
- Historic Market Size - Component Segment 2020 - 2024 ($ million)
- 5.3 Deployment segment analysis 2020 - 2024
- Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
- 5.4 Application segment analysis 2020 - 2024
- Historic Market Size - Application Segment 2020 - 2024 ($ million)
- 5.5 Geography segment analysis 2020 - 2024
- Historic Market Size - Geography Segment 2020 - 2024 ($ million)
- 5.6 Country segment analysis 2020 - 2024
- Historic Market Size - Country Segment 2020 - 2024 ($ million)
6 Qualitative Analysis
- 6.1 Impact of geopolitical conflicts on global AI in data quality market
7 Five Forces Analysis
- 7.1 Five forces summary
- Five forces analysis - Comparison between 2025 and 2030
- 7.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2025 and 2030
- 7.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2025 and 2030
- 7.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2025 and 2030
- 7.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2025 and 2030
- 7.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2025 and 2030
- 7.7 Market condition
8 Market Segmentation by Component
- 8.1 Market segments
- 8.2 Comparison by Component
- 8.3 Software - Market size and forecast 2025-2030
- 8.4 Services - Market size and forecast 2025-2030
- 8.5 Market opportunity by Component
- Market opportunity by Component ($ million)
9 Market Segmentation by Deployment
- 9.1 Market segments
- 9.2 Comparison by Deployment
- 9.3 Cloud-based - Market size and forecast 2025-2030
- 9.4 On-premises - Market size and forecast 2025-2030
- 9.5 Market opportunity by Deployment
- Market opportunity by Deployment ($ million)
10 Market Segmentation by Application
- 10.1 Market segments
- 10.2 Comparison by Application
- 10.3 BFSI - Market size and forecast 2025-2030
- 10.4 IT and telecommunications - Market size and forecast 2025-2030
- 10.5 Healthcare - Market size and forecast 2025-2030
- 10.6 Retail and e-commerce - Market size and forecast 2025-2030
- 10.7 Others - Market size and forecast 2025-2030
- 10.8 Market opportunity by Application
- Market opportunity by Application ($ million)
11 Customer Landscape
- 11.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
12 Geographic Landscape
- 12.1 Geographic segmentation
- 12.2 Geographic comparison
- 12.3 North America - Market size and forecast 2025-2030
- 12.3.1 US - Market size and forecast 2025-2030
- 12.3.2 Canada - Market size and forecast 2025-2030
- 12.3.3 Mexico - Market size and forecast 2025-2030
- 12.4 Europe - Market size and forecast 2025-2030
- 12.4.1 UK - Market size and forecast 2025-2030
- 12.4.2 Germany - Market size and forecast 2025-2030
- 12.4.3 France - Market size and forecast 2025-2030
- 12.4.4 The Netherlands - Market size and forecast 2025-2030
- 12.4.5 Italy - Market size and forecast 2025-2030
- 12.4.6 Spain - Market size and forecast 2025-2030
- 12.5 APAC - Market size and forecast 2025-2030
- 12.5.1 China - Market size and forecast 2025-2030
- 12.5.2 Japan - Market size and forecast 2025-2030
- 12.5.3 India - Market size and forecast 2025-2030
- 12.5.4 Australia - Market size and forecast 2025-2030
- 12.5.5 South Korea - Market size and forecast 2025-2030
- 12.5.6 Singapore - Market size and forecast 2025-2030
- 12.6 South America - Market size and forecast 2025-2030
- 12.6.1 Brazil - Market size and forecast 2025-2030
- 12.6.2 Argentina - Market size and forecast 2025-2030
- 12.6.3 Colombia - Market size and forecast 2025-2030
- 12.7 Middle East and Africa - Market size and forecast 2025-2030
- 12.7.1 UAE - Market size and forecast 2025-2030
- 12.7.2 Saudi Arabia - Market size and forecast 2025-2030
- 12.7.3 Israel - Market size and forecast 2025-2030
- 12.7.4 South Africa - Market size and forecast 2025-2030
- 12.7.5 Qatar - Market size and forecast 2025-2030
- 12.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)
13 Drivers, Challenges, and Opportunity
- 13.1 Market drivers
- Expanding adoption of Gen AI applications
- Expansion of cloud-native and hybrid data ecosystems
- Growing business reliance on real-time analytics and decision intelligence
- 13.2 Market challenges
- Complexity of integrating fragmented enterprise data ecosystems
- Shortage of specialized data governance and AI quality expertise
- Escalating regulatory compliance and data privacy obligations
- 13.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2025 and 2030
- 13.4 Market opportunities
- Shift toward autonomous data quality management
- Convergence of data quality with data intelligence and observability platforms
- Growing adoption of embedded and API-driven quality services
14 Competitive Landscape
- 14.1 Overview
- 14.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 14.3 Landscape disruption
- Overview on factors of disruption
- 14.4 Industry risks
- Impact of key risks on business
15 Competitive Analysis
- 15.1 Companies profiled
- Companies covered
- 15.2 Company ranking index
- Company ranking index
- 15.3 Market positioning of companies
- Matrix on companies position and classification
- 15.4 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key offerings
- SWOT
- 15.5 Capgemini SE
- Capgemini SE - Overview
- Capgemini SE - Business segments
- Capgemini SE - Key news
- Capgemini SE - Key offerings
- Capgemini SE - Segment focus
- SWOT
- 15.6 Cognizant Technology Solution
- Cognizant Technology Solution - Overview
- Cognizant Technology Solution - Business segments
- Cognizant Technology Solution - Key news
- Cognizant Technology Solution - Key offerings
- Cognizant Technology Solution - Segment focus
- SWOT
- 15.7 IBM Corp.
- IBM Corp. - Overview
- IBM Corp. - Business segments
- IBM Corp. - Key news
- IBM Corp. - Key offerings
- IBM Corp. - Segment focus
- SWOT
- 15.8 Informatica Inc.
- Informatica Inc. - Overview
- Informatica Inc. - Business segments
- Informatica Inc. - Key offerings
- Informatica Inc. - Segment focus
- SWOT
- 15.9 Infosys Ltd.
- Infosys Ltd. - Overview
- Infosys Ltd. - Business segments
- Infosys Ltd. - Key news
- Infosys Ltd. - Key offerings
- Infosys Ltd. - Segment focus
- SWOT
- 15.10 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 15.11 NTT DATA Corp.
- NTT DATA Corp. - Overview
- NTT DATA Corp. - Business segments
- NTT DATA Corp. - Key offerings
- NTT DATA Corp. - Segment focus
- SWOT
- 15.12 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 15.13 QlikTech International AB
- QlikTech International AB - Overview
- QlikTech International AB - Product / Service
- QlikTech International AB - Key offerings
- SWOT
- 15.14 Salesforce Inc.
- Salesforce Inc. - Overview
- Salesforce Inc. - Business segments
- Salesforce Inc. - Key news
- Salesforce Inc. - Key offerings
- Salesforce Inc. - Segment focus
- SWOT
- 15.15 SAP SE
- SAP SE - Overview
- SAP SE - Business segments
- SAP SE - Key news
- SAP SE - Key offerings
- SAP SE - Segment focus
- SWOT
- 15.16 Tata Consultancy Services
- Tata Consultancy Services - Overview
- Tata Consultancy Services - Business segments
- Tata Consultancy Services - Key news
- Tata Consultancy Services - Key offerings
- Tata Consultancy Services - Segment focus
- SWOT
- 15.17 Tencent Cloud Co. Ltd.
- Tencent Cloud Co. Ltd. - Overview
- Tencent Cloud Co. Ltd. - Product / Service
- Tencent Cloud Co. Ltd. - Key offerings
- SWOT
- 15.18 Teradata Corp.
- Teradata Corp. - Overview
- Teradata Corp. - Business segments
- Teradata Corp. - Key news
- Teradata Corp. - Key offerings
- Teradata Corp. - Segment focus
- SWOT
16 Appendix
- 16.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 16.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 16.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 16.4 Research methodology
- Research methodology
- 16.5 Data procurement
- Information sources
- 16.6 Data validation
- Data validation
- 16.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 16.8 Data synthesis
- Data synthesis
- 16.9 360 degree market analysis
- 360 degree market analysis
- 16.10 List of abbreviations
- List of abbreviations
