AI in Data Integration Market Outlook 2026By Applications, Size, Share, Trends, Opportunity and Forecast

According to TechSci Research, Global AI in data integration market is expected to grow at a steady CAGR for the forecast period, 2022-2026. The improving economic conditions across the globe are boosting the rapid development of industries and enterprises. The growing competition among the market players to hold the largest market share is creating the need for the generation of insights to make smart decisions to stay ahead in the market. Fast decision-making is crucial for the business to make maximum profit and minimize losses. The enterprises are investing in technologies to analyze the data so as to take necessary and timely action, which is expected to accelerate the Global AI in data integration market growth for the next five years. AI in data integration can efficiently work without the intervention of the human, thereby helps in bringing down the operational costs. The use of artificial intelligence in data integration can easily decipher the business insights from the enterprise dataset. It involves the use of less coding and faster computational power that ensures the completion of the assigned task in minimal time with higher accuracy.

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 regional analysis, Asia-pacific is expected to account for major market share for the forecast period, 2022-2026. The presence of a large number of organizations in the region, along with the improving economic condition and the growing population, is influencing the market demand.

Based on organization size, the market is bifurcated into large enterprise & small & medium enterprises. The large enterprise segment is expected to dominate the market share for the next five years. Large enterprises generate large volumes of data from various sources and create the need for efficient data processing and integration techniques. AI in data integration is in high demand from large enterprises as they lower the operational costs and minimize the time spent in the data integration activity.

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The major players operating in the global AI in data integration market are Microsoft Corporation, Amazon Web Services, Inc., Google, LLC, IBM Corporation, Adeptia Inc., Informatica LLC, Oracle Corporation, Talend Inc., SAP SE, Snaplogic, Inc, among others. Major companies are developing advanced technologies and launching new services to stay competitive in the market.

Years considered for this report:

Historical Years: 2016-2019

Base Year: 2020

Estimated Year: 2021

Forecast Period: 2022–2026

Objective of the Study:

• To analyze the historical growth of the market size of global AI in data integration market from 2016 to 2019.
• To estimate and forecast the market size of global AI in data integration market from 2020 to 2026 and growth rate until 2026.
• To classify and forecast global AI in data integration market based on application, business function, deployment mode, organization size, end-use, regional distribution, and company.
• To identify dominant region or segment in the global AI in data integration market.
• To identify drivers and challenges for global AI in data integration market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global AI in data integration market.
• To identify and analyze the profile of leading players operating in global AI in data integration market.
• To identify key sustainable strategies adopted by market players in global AI in data integration market.

TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers who could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the globe.

TechSci Research calculated the market size of global AI in data integration market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.

Key Target Audience:

• AI in data integration service provider companies
• Market research and consulting firms
• Government bodies such as regulating authorities and policy makers
• Organizations, forums, and alliances related to AI in data integration market

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Report Scope:

In this report, global AI in data integration market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

·         Global AI in Data Integration Market, By Application:

• Data Mapping
• Big Data Processing
• ETL
• Schema Alignment

·         Global AI in Data Integration Market, By Business Function:

• Marketing
• Operations
• Finance
• Customer Relationship Management
• Human Resource Management
• Others
• Global AI in Data Integration Market, By Deployment Mode:
• On-Premise
• Cloud
• Global AI in Data Integration Market, By Organization Size:
• Large Enterprise
• Small & Medium Enterprises
• Global AI in Data Integration Market, By End-Use:
• Healthcare
• BFSI
• Manufacturing
• Retail
• IT & Telecom
• Government & Defense
• Others
• Global AI in Data Integration Market, By Region:
• Asia-Pacific
• China
• Japan
• South Korea
• India
• Singapore
• Australia
• Vietnam
• Europe & CIS
• France
• Germany
• United Kingdom
• Italy
• Russia
• North America
• United States
• Mexico
• Canada
• South America

§  Brazil

§  Argentina

§  Colombia

§  Chile

o   Middle East & Africa

§  South Africa

§  Saudi Arabia

§  UAE

§  Nigeria

§  Egypt

§  Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global AI in data integration market.

About TechSci Research

TechSci Research is a leading global market research firm publishing premium market research reports. Serving 700 global clients with more than 600 premium market research studies, TechSci Research is serving clients across 11 different industrial verticals. TechSci Research specializes in research-based consulting assignments in high growth and emerging markets, leading technologies and niche applications. Our workforce of more than 100 fulltime Analysts and Consultants employing innovative research solutions and tracking global and country specific high growth markets helps TechSci clients to lead rather than follow market trends.

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