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Artificial Intelligence (AI) In Data Integration Market Poised To Hit $54.07 Billion By 2030 With A 18.1% CAGR
The market size for artificial intelligence (AI) in data integration has experienced substantial growth recently. This market is projected to expand from $23.42 billion in 2025 to $27.76 billion in 2026, achieving a compound annual growth rate (CAGR) of 18.6%. Attributing the growth over the past period are factors like the rise in enterprise data volumes, greater adoption of cloud computing platforms, increased demand for business intelligence solutions, the expansion of enterprise application ecosystems, and a stronger focus on operational efficiency.
The artificial intelligence (AI) in data integration market is projected for significant expansion over the coming years, with its size reaching $54.07 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 18.1%. This anticipated growth is driven by factors such as the increasing embrace of generative AI technologies, a heightened need for predictive analytics, the proliferation of hybrid and multi-cloud infrastructures, evolving regulatory demands for data governance, and greater investment in intelligent automation solutions. Key trends during this period are anticipated to involve a rising call for real-time data synchronization, the wider implementation of self-service data integration platforms, a sharpened emphasis on automated data governance and compliance, the broadening of API-based data connectivity tools, and an uptick in the use of metadata-driven integration frameworks.
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Artificial Intelligence (AI) In Data Integration Market Opportunity Drivers: What’s Unlocking New Revenue Potential?
The increasing volume of data is anticipated to drive the expansion of artificial intelligence (AI) in the data integration market. Data volume encompasses the overall digital information generated, collected, duplicated, and utilized across various networks and systems. This surge in data volume stems from the pervasive adoption of digital devices, which produce extensive information via activities like browsing, streaming, social media interactions, and IoT sensor outputs. Artificial intelligence (AI) in data integration is crucial for managing this expanding data volume, achieving this by automating data intake, enhancing processing workflows, and facilitating adaptable, smart data management across varied, high-volume sources. Illustratively, in March 2024, the US-based software company Edge Delta reported that the global data generation in 2023 was approximately 120 zettabytes (ZB), equating to about 337,080 petabytes (PB) of data created daily. Considering around 5.35 billion internet users, this suggests an average daily data production of approximately 15.87 terabytes (TB) per user. Consequently, the escalating data volume is a key impetus for the expansion of artificial intelligence (AI) in the data integration market.
Artificial Intelligence (AI) In Data Integration Market Breakdown By Product Type And Application
The artificial intelligence (AI) in data integration market covered in this report is segmented –
1) By Component: Software, Services
2) 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 Software
2) By Services: Implementation Services, Consulting Services, Integration And Deployment Services, Support And Maintenance Services, Training And Education Services, Managed Services, Advisory Services, Optimization Services
Artificial Intelligence (AI) In Data Integration Market Innovation Trends Shaping Future Development
Leading companies operating in the artificial intelligence (AI) in data integration market are concentrating on developing advanced solutions, such as generative AI-enabled data integration platforms. These platforms are designed to enhance data connectivity, automate data pipelines, improve governance, and accelerate the development of AI-driven analytics applications. Generative AI-enabled data integration platforms are systems that leverage generative AI to automate, expedite, and refine data ingestion, transformation, and management processes across diverse sources, leading to faster, more accurate, and more intelligent data integration workflows. For instance, in June 2024, Informatica Inc., a US-based software company, launched new generative AI and Snowflake-native application offerings on the Snowflake AI Data Cloud. These offerings, which include enterprise data integration (EDI) and cloud data access management (CDAM), are specifically engineered to streamline data integration and governance for AI workloads. These solutions introduce native SQL ELT support for Snowflake Cortex AI functions, allowing organizations to directly integrate generative AI capabilities into data pipelines for quicker insights and automated data processing. The offerings further provide centralized, policy-based access control to ensure secure and compliant data usage across enterprise environments.
Artificial Intelligence (AI) In Data Integration Market Company Landscape And Competitive Strategy
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
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Artificial Intelligence (AI) In Data Integration Market Regional Split: Which Areas Are Fueling Growth?
North-America was the largest region in the artificial intelligence (AI) in data integration market in 2025. Asia-Pacific is expected to be the fastest-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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.