Ongoing technological advancements and the growing IT sector is expected to drive the global AI in data integration market for the forecast period.

According to TechSci Research report, “AI in Data Integration Market - Global Industry Size, Share, Trends, Opportunity and Forecast, 2016-2026  Segmented By Service Type (Managed Storage as a Service, Managed Compute as a Service, Managed Disaster Recovery as a Service, Managed Colocation, Managed Network as a Service, Managed Hosting & Others), By Service Deployment (On Premise & Cloud), By Organization Size (Large Enterprise & Small & Medium Enterprises), By End Use Vertical (BFSI, IT & Telecom, Retail, Government & Defense, Manufacturing & Others) and By Region”, the global AI in data integration market is expected to grow at a rate of steady CAGR for the forecast period, 2022-2026. Businesses tend to generate a large amount of data from non-traditional data sources such as social media posts, streaming data, machines, and traditional data sources such as file system data, ERP, CRM, and RDMS. This continuous data generation requires efficient data integration techniques to develop insights. A huge number of resources and time is spent in the data preparation, creating the need for an efficient method that can process and analyze the data in less time.

Artificial intelligence (AI) in data integration is considered an efficient strategy to implement automation in the data preparation task and make the use of efficient data analysis of big data. The conventional data integration was not able to handle a large amount of data as well as unstructured data to generate meaningful data insights. Artificial intelligence in data integration can easily analyze the data of all formats for the generation of more accurate data models and data pipelines without the need for interference of humans. AI can automate the data transformation mapping creation in the ETL process, and the hidden trends can be easily identified from the large data sets, and the use of statistical modeling helps in the generation of accurate data insights.

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Global AI in data integration market is segmented into application, business function, deployment mode, organization size, end-use, regional distribution, and company. Based on the application, the market is divided into data mapping, big data processing, ETL, and schema alignment. The data mapping segment is expected to account for major market share for the forecast period, 2022-2026. Artificial intelligence can automate the data transformation mapping process using the pre-built data integration template and system metadata catalog. The use of AI in data integration helps the business to save more time and helps business users with limited knowledge to use the DI tool through using the simple drag and drop options. Business users can easily trend the identification using domain knowledge which helps the businesses to grow. Based on the deployment mode, the market is bifurcated into on-premise and cloud. The cloud segment is expected to witness the fastest incremental growth for the next five years. Cloud solutions offer scalable, affordable, with improved data access from any of the remote locations. It has a large data storage capacity and fast speed, which helps business organizations to grow significantly.

Microsoft Corporation, Amazon Web Services, Inc., Google, LLC, IBM Corporation, Adeptia Inc., Informatica LLC, Oracle Corporation, Talend Inc., SAP SE, Snaplogic, Inc are the leading players operating in global AI in data integration market. Service providers are increasingly focusing on research and development process to fuel higher growth in the market.

“Market players are making high-end investments in technological innovations and are actively using machine learning technology and artificial intelligence to solve complex data integration problems. Elimination of the need for experts and the reduction in the total integration total cost of ownership and helps the business to become more profitable. The growing competition in the market and the need to predict the market trend along with the huge expenditure by the market players and growing IT sector is expected to propel the global AI in data integration market till 2026” said Mr. Karan Chechi, Research Director with TechSci Research, a research based global management consulting firm.

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“AI in Data Integration Market - Global Industry Size, Share, Trends, Opportunity and Forecast, 2016-2026 Segmented By Service Type (Managed Storage as a Service, Managed Compute as a Service, Managed Disaster Recovery as a Service, Managed Colocation, Managed Network as a Service, Managed Hosting & Others), By Service Deployment (On Premise & Cloud), By Organization Size (Large Enterprise & Small & Medium Enterprises), By End Use Vertical (BFSI, IT & Telecom, Retail, Government & Defense, Manufacturing & Others) and By Region” has evaluated the future growth potential of global AI in data integration market and provided statistics & information on market size, shares, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in the of global AI in data integration market.

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