Artificial Intelligence (AI) In Data Integration Market Report 2026

Artificial Intelligence (AI) In Data Integration Market Report 2026 Market Overview

• Artificial Intelligence (AI) In Data Integration Market Report 2026 market size has reached to $23.42 billion in 2025 • Expected to grow to $54.07 billion in 2030 at a compound annual growth rate (CAGR) of 18.1% • Growth Driver: Rising Data Volume Driving The Market Growth Due To Increasing Network Connectivity And Digital Transformation • Market Trend: Generative AI Transforming Data Connectivity And Pipeline Automation • North-America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI) In Data Integration Market?

Artificial intelligence (AI) in data integration refers to the use of machine learning algorithms and intelligent automation techniques to connect, combine, and harmonize data from multiple sources. It enables faster, more accurate, and adaptive data processing by reducing manual effort and improving data quality, consistency, and accessibility across systems. The main components of artificial intelligence (AI) in data integration include software and services. Software refers to digital solutions that use artificial intelligence technologies to automate, manage, and optimize data integration processes across multiple systems and sources. These solutions use technologies such as machine learning, natural language processing, deep learning, computer vision, and generative artificial intelligence and are deployed through cloud based, on premises, and hybrid modes. The various applications involved are data mapping, big data processing, extract transform and load, and schema alignment, and they are used by several end uses such as healthcare, banking financial services and insurance, manufacturing, retail, information technology and telecom, government and defense, and others.

What Is The Artificial Intelligence (AI) In Data Integration Market Growth Forecast?

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.

What Is The Driver Of The Artificial Intelligence (AI) In Data Integration Market?

The rising data volume is expected to propel the growth of artificial intelligence (AI) in the data integration market going forward. Data volume refers to the total amount of digital information created, captured, copied, and consumed across networks and systems. Data volume is rising due to the widespread use of digital devices, which generate more information through browsing, streaming, social media, and IoT sensors. Artificial intelligence (AI) in data integration helps manage growing data volume by automating data ingestion, optimising processing pipelines, and enabling scalable, intelligent data handling across diverse and high-throughput sources. For instance, in March 2024, according to the Edge Delta, a US-based software company, the world generated approximately 120 zettabytes (ZB) of data in 2023, which translates to roughly 337,080 petabytes (PB) of data created every day. With around 5.35 billion internet users, this means that, on average, each user could be responsible for producing about 15.87 terabytes (TB) of data daily. Therefore, rising data volume is driving the growth of artificial intelligence (AI) in the data integration market.

Key Players In The Global Artificial Intelligence (AI) In Data Integration Market

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

Global Artificial Intelligence (AI) In Data Integration Market Trends and Insights

Major companies operating in the artificial intelligence (AI) in data integration market are focusing on developing innovative solutions such as generative AI-enabled data integration platforms 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 use generative AI to automate, accelerate, and improve data ingestion, transformation, and management processes across multiple sources, enabling 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, including enterprise data integration (EDI) and cloud data access management (CDAM), designed to streamline data integration and governance for AI workloads. These solutions introduce native SQL ELT support for Snowflake Cortex AI functions, enabling organizations to directly embed generative AI capabilities into data pipelines for faster insights and automated data processing. The offerings also provide centralized, policy-based access control to ensure secure and compliant data usage across enterprise environments.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) In Data Integration Market?

In November 2025, Salesforce Inc, a US-based cloud-based software company, acquired Informatica for an undisclosed amount. With this acquisition, Salesforce aims to strengthen its data management and AI-powered analytics capabilities by integrating Informatica’s enterprise-grade data integration, governance, and master data management technologies to enhance its unified customer data platform and support more advanced AI-driven workflows across its ecosystem. Informatica Inc. is a US-based company that provides artificial intelligence (AI) capabilities in data integration.

What Defines the Artificial Intelligence (AI) In Data Integration Market?

The artificial intelligence (AI) in data integration market consists of revenues earned by entities by providing services such as consulting, implementation, system integration, managed services, support and maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in data integration market also includes sales of servers, data storage systems, gpu accelerators, network switches, and backup appliances. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) In Data Integration Market Report 2026?

The artificial intelligence (ai) in data integration market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) in data integration industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.