The artificial intelligence (AI) in data integration market size has grown rapidly in recent years. It will grow from $23.42 billion in 2025 to $27.76 billion in 2026 at a compound annual growth rate (CAGR) of 18.6%. The growth in the historic period can be attributed to growth of enterprise data volumes, increasing adoption of cloud computing platforms, rising demand for business intelligence solutions, expansion of enterprise application ecosystems, increasing focus on operational efficiency.
The artificial intelligence (AI) in data integration market size is expected to see rapid growth in the next few years. It will grow to $54.07 billion in 2030 at a compound annual growth rate (CAGR) of 18.1%. The growth in the forecast period can be attributed to rising adoption of generative AI technologies, increasing demand for predictive analytics capabilities, growth in hybrid and multi-cloud environments, expanding regulatory requirements for data governance, increasing investments in intelligent automation solutions. Major trends in the forecast period include increasing demand for real-time data synchronization, growing adoption of self-service data integration platforms, rising focus on automated data governance and compliance management, expansion of API-based data connectivity solutions, increasing adoption of metadata-driven integration frameworks.
The increasing volume of data is expected to drive the growth of artificial intelligence (AI) in the data integration market going forward. Data volume refers to the overall quantity of digital information generated, collected, replicated, and consumed across various networks and systems. Data volume is increasing due to the widespread adoption of digital devices, which create vast amounts of information through online activities, streaming services, social media platforms, and IoT-enabled sensors. Artificial intelligence (AI) in data integration supports the management of expanding data volumes by automating data ingestion, optimizing data processing workflows, and enabling scalable and intelligent data management across diverse, high-volume data sources. For instance, in March 2024, according to Edge Delta, a US-based software company, approximately 120 zettabytes (ZB) of data were generated globally in 2023, equivalent to nearly 337,080 petabytes (PB) of data produced each day. With approximately 5.35 billion internet users, this indicates that each user could contribute an average of around 15.87 terabytes (TB) of data daily. Therefore, the increasing volume of data is driving the growth of artificial intelligence (AI) in the data integration market.
Major companies operating in the artificial intelligence (AI) in data integration market are focusing on developing advanced solutions, such as generative AI-enabled data integration platforms, to improve data connectivity, automate data workflows, strengthen data governance, and accelerate the development of AI-powered analytics applications. Generative AI-enabled data integration platforms are solutions that leverage generative AI technologies to automate, optimize, and enhance data ingestion, transformation, and management processes across multiple data sources, enabling faster, more accurate, and intelligent data integration workflows. For instance, in June 2024, Informatica Inc., a US-based software company, introduced new generative AI and Snowflake-native application offerings on the Snowflake AI Data Cloud, including enterprise data integration (EDI) and cloud data access management (CDAM), to simplify data integration and governance for AI-driven workloads. These solutions provide native SQL ELT support for Snowflake Cortex AI functions, allowing organizations to integrate generative AI capabilities directly into data pipelines for faster insights and automated data processing. The offerings also enable centralized, policy-based access management to support secure and compliant data utilization across enterprise environments.
In November 2025, Salesforce Inc., a US-based cloud software company, acquired Informatica for an undisclosed amount. Through this acquisition, Salesforce aims to enhance its data management and AI-powered analytics capabilities by integrating Informatica’s enterprise-grade data integration, governance, and master data management technologies into its ecosystem. The acquisition is expected to strengthen Salesforce’s unified customer data platform and enable more advanced AI-driven workflows across its business applications. Informatica Inc. is a US-based company that provides artificial intelligence (AI)-enabled data integration solutions.
Major companies operating in the artificial intelligence (AI) in data integration market report are Dataiku SAS, Starburst Data Inc, CData Software Inc, Astronomer Inc, Dremio Corporation, Hightouch Inc, Incorta Inc, Adeptia Inc, Tamr Inc, Striim Inc, Astera Software Inc, RudderStack Inc, Census Technologies Inc, Coalesce Automation Inc, Prophecy International Holdings Limited, Nexla Inc, Estuary Technologies Inc, Keboola Inc, Integrate io Ltd, Dagster Labs Inc, Qlik, Peliqan NV, Infoveave Solutions Pvt Ltd, Informatica, MuleSoft, Fivetran, Boomi, Matillion.
North-America was the dominating region in the artificial intelligence (AI) in data integration market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) in data integration market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) in data integration market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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The artificial intelligence (AI) in data integration market size is expected to see rapid growth in the next few years. It will grow to $54.07 billion in 2030 at a compound annual growth rate (CAGR) of 18.1%. The growth in the forecast period can be attributed to rising adoption of generative AI technologies, increasing demand for predictive analytics capabilities, growth in hybrid and multi-cloud environments, expanding regulatory requirements for data governance, increasing investments in intelligent automation solutions. Major trends in the forecast period include increasing demand for real-time data synchronization, growing adoption of self-service data integration platforms, rising focus on automated data governance and compliance management, expansion of API-based data connectivity solutions, increasing adoption of metadata-driven integration frameworks.
The increasing volume of data is expected to drive the growth of artificial intelligence (AI) in the data integration market going forward. Data volume refers to the overall quantity of digital information generated, collected, replicated, and consumed across various networks and systems. Data volume is increasing due to the widespread adoption of digital devices, which create vast amounts of information through online activities, streaming services, social media platforms, and IoT-enabled sensors. Artificial intelligence (AI) in data integration supports the management of expanding data volumes by automating data ingestion, optimizing data processing workflows, and enabling scalable and intelligent data management across diverse, high-volume data sources. For instance, in March 2024, according to Edge Delta, a US-based software company, approximately 120 zettabytes (ZB) of data were generated globally in 2023, equivalent to nearly 337,080 petabytes (PB) of data produced each day. With approximately 5.35 billion internet users, this indicates that each user could contribute an average of around 15.87 terabytes (TB) of data daily. Therefore, the increasing volume of data is driving the growth of artificial intelligence (AI) in the data integration market.
Major companies operating in the artificial intelligence (AI) in data integration market are focusing on developing advanced solutions, such as generative AI-enabled data integration platforms, to improve data connectivity, automate data workflows, strengthen data governance, and accelerate the development of AI-powered analytics applications. Generative AI-enabled data integration platforms are solutions that leverage generative AI technologies to automate, optimize, and enhance data ingestion, transformation, and management processes across multiple data sources, enabling faster, more accurate, and intelligent data integration workflows. For instance, in June 2024, Informatica Inc., a US-based software company, introduced new generative AI and Snowflake-native application offerings on the Snowflake AI Data Cloud, including enterprise data integration (EDI) and cloud data access management (CDAM), to simplify data integration and governance for AI-driven workloads. These solutions provide native SQL ELT support for Snowflake Cortex AI functions, allowing organizations to integrate generative AI capabilities directly into data pipelines for faster insights and automated data processing. The offerings also enable centralized, policy-based access management to support secure and compliant data utilization across enterprise environments.
In November 2025, Salesforce Inc., a US-based cloud software company, acquired Informatica for an undisclosed amount. Through this acquisition, Salesforce aims to enhance its data management and AI-powered analytics capabilities by integrating Informatica’s enterprise-grade data integration, governance, and master data management technologies into its ecosystem. The acquisition is expected to strengthen Salesforce’s unified customer data platform and enable more advanced AI-driven workflows across its business applications. Informatica Inc. is a US-based company that provides artificial intelligence (AI)-enabled data integration solutions.
Major companies operating in the artificial intelligence (AI) in data integration market report are Dataiku SAS, Starburst Data Inc, CData Software Inc, Astronomer Inc, Dremio Corporation, Hightouch Inc, Incorta Inc, Adeptia Inc, Tamr Inc, Striim Inc, Astera Software Inc, RudderStack Inc, Census Technologies Inc, Coalesce Automation Inc, Prophecy International Holdings Limited, Nexla Inc, Estuary Technologies Inc, Keboola Inc, Integrate io Ltd, Dagster Labs Inc, Qlik, Peliqan NV, Infoveave Solutions Pvt Ltd, Informatica, MuleSoft, Fivetran, Boomi, Matillion.
North-America was the dominating region in the artificial intelligence (AI) in data integration market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) in data integration market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) in data integration market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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Table of Contents
1. Executive Summary
2. Artificial Intelligence (AI) In Data Integration Market Characteristics
3. Artificial Intelligence (AI) In Data Integration Market Supply Chain Analysis
4. Global Artificial Intelligence (AI) In Data Integration Market Trends And Strategies
5. Artificial Intelligence (AI) In Data Integration Market Analysis Of End Use Industries
7. Global Artificial Intelligence (AI) In Data Integration Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis
8. Global Artificial Intelligence (AI) In Data Integration Total Addressable Market (TAM) Analysis for the Market
9. Artificial Intelligence (AI) In Data Integration Market Segmentation
10. Artificial Intelligence (AI) In Data Integration Market, Industry Metrics By Country
11. Artificial Intelligence (AI) In Data Integration Market Regional And Country Analysis
12. Asia-Pacific Artificial Intelligence (AI) In Data Integration Market
13. China Artificial Intelligence (AI) In Data Integration Market
14. India Artificial Intelligence (AI) In Data Integration Market
15. Japan Artificial Intelligence (AI) In Data Integration Market
16. Australia Artificial Intelligence (AI) In Data Integration Market
17. Indonesia Artificial Intelligence (AI) In Data Integration Market
18. South Korea Artificial Intelligence (AI) In Data Integration Market
19. Taiwan Artificial Intelligence (AI) In Data Integration Market
20. South East Asia Artificial Intelligence (AI) In Data Integration Market
21. Western Europe Artificial Intelligence (AI) In Data Integration Market
22. UK Artificial Intelligence (AI) In Data Integration Market
23. Germany Artificial Intelligence (AI) In Data Integration Market
24. France Artificial Intelligence (AI) In Data Integration Market
25. Italy Artificial Intelligence (AI) In Data Integration Market
26. Spain Artificial Intelligence (AI) In Data Integration Market
27. Eastern Europe Artificial Intelligence (AI) In Data Integration Market
28. Russia Artificial Intelligence (AI) In Data Integration Market
29. North America Artificial Intelligence (AI) In Data Integration Market
30. USA Artificial Intelligence (AI) In Data Integration Market
31. Canada Artificial Intelligence (AI) In Data Integration Market
32. South America Artificial Intelligence (AI) In Data Integration Market
33. Brazil Artificial Intelligence (AI) In Data Integration Market
34. Middle East Artificial Intelligence (AI) In Data Integration Market
35. Africa Artificial Intelligence (AI) In Data Integration Market
37. Artificial Intelligence (AI) In Data Integration Market Competitive Landscape And Company Profiles
38. Artificial Intelligence (AI) In Data Integration Market Other Major And Innovative Companies
42. Artificial Intelligence (AI) In Data Integration Market High Potential Countries, Segments and Strategies
43. Appendix
Executive Summary
Artificial Intelligence (AI) In Data Integration Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) in data integration market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) in data integration? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in data integration market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Software; Services2) By Technology: Machine Learning; Natural Language Processing; Deep Learning; Computer Vision; Generative Artificial Intelligence
3) By Deployment Mode: Cloud Based; On Premises; Hybrid
4) By Application: Data Mapping; Big Data Processing; Extract Transform And Load; Schema Alignment
5) By End Use: Healthcare; Banking Financial Services And Insurance; Manufacturing; Retail; Information Technology And Telecom; Government And Defense; Other End Users
Subsegments:
1) By Software: Data Integration Platforms; Extract Transform Load Tools; Data Quality Software; Data Governance Software; Metadata Management Software; Data Orchestration Tools; Artificial Intelligence Driven Integration Platforms; Master Data Management Software; Data Virtualization Software; Data Pipeline Automation Software2) By Services: Implementation Services; Consulting Services; Integration And Deployment Services; Support And Maintenance Services; Training And Education Services; Managed Services; Advisory Services; Optimization Services
Companies Mentioned: Dataiku SAS; Starburst Data Inc; CData Software Inc; Astronomer Inc; Dremio Corporation; Hightouch Inc; Incorta Inc; Adeptia Inc; Tamr Inc; Striim Inc; Astera Software Inc; RudderStack Inc; Census Technologies Inc; Coalesce Automation Inc; Prophecy International Holdings Limited; Nexla Inc; Estuary Technologies Inc; Keboola Inc; Integrate io Ltd; Dagster Labs Inc; Qlik; Peliqan NV; Infoveave Solutions Pvt Ltd; Informatica; MuleSoft; Fivetran; Boomi; Matillion
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
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Companies Mentioned
- Dataiku SAS
- Starburst Data Inc
- CData Software Inc
- Astronomer Inc
- Dremio Corporation
- Hightouch Inc
- Incorta Inc
- Adeptia Inc
- Tamr Inc
- Striim Inc
- Astera Software Inc
- RudderStack Inc
- Census Technologies Inc
- Coalesce Automation Inc
- Prophecy International Holdings Limited
- Nexla Inc
- Estuary Technologies Inc
- Keboola Inc
- Integrate io Ltd
- Dagster Labs Inc
- Qlik
- Peliqan NV
- Infoveave Solutions Pvt Ltd
- Informatica
- MuleSoft
- Fivetran
- Boomi
- Matillion
