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.

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.


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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.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).
Global AI in data integration market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at sales@techsciresearch.com

1.    Product Overview

2.    Research Methodology

3.    Impact of COVID-19 on Global AI in Data Integration Market

4.    Executive Summary

5.    Global AI in Data Integration Market Outlook

5.1.  Market Size & Forecast

5.1.1.     By Value

5.2.  Market Share & Forecast

5.2.1.     By Application (Data Mapping, Big Data Processing, ETL, Schema Alignment)

5.2.2.     By Business Function (Marketing, Operations, Finance, Customer Relationship Management, Human Resource Management, Others)

5.2.3.     By Deployment Mode (On-Premise, Cloud)

5.2.4.     By Organization Size (Large Enterprise & Small & Medium Enterprises)

5.2.5.     By End-Use (Healthcare, BFSI, Manufacturing, Retail, IT & Telecom, Government & Defense, Others)

5.2.6.     By Company (2020)

5.2.7.     By Region

5.3.  Product Market Map

6.    Asia-Pacific AI in Data Integration Market Outlook

6.1.  Market Size & Forecast          

6.1.1.     By Value

6.2.  Market Share & Forecast

6.2.1.     By Application

6.2.2.     By Business Function

6.2.3.     By Deployment Mode

6.2.4.     By Organization Size

6.2.5.     By End-Use

6.2.6.     By Country

6.3.  Asia-Pacific: Country Analysis

6.3.1.     China AI in Data Integration Market Outlook

6.3.1.1.         Market Size & Forecast

6.3.1.1.1.             By Value

6.3.1.2.         Market Share & Forecast

6.3.1.2.1.             By Application

6.3.1.2.2.             By Business Function

6.3.1.2.3.             By Deployment Mode

6.3.1.2.4.             By Organization Size

6.3.1.2.5.             By End-Use

6.3.2.     India AI in Data Integration Market Outlook

6.3.2.1.         Market Size & Forecast

6.3.2.1.1.             By Value

6.3.2.2.         Market Share & Forecast

6.3.2.2.1.             By Application

6.3.2.2.2.             By Business Function

6.3.2.2.3.             By Deployment Mode

6.3.2.2.4.             By Organization Size

6.3.2.2.5.             By End-Use

6.3.3.     Japan AI in Data Integration Market Outlook

6.3.3.1.         Market Size & Forecast

6.3.3.1.1.             By Value 

6.3.3.2.         Market Share & Forecast

6.3.3.2.1.             By Application

6.3.3.2.2.             By Business Function

6.3.3.2.3.             By Deployment Mode

6.3.3.2.4.             By Organization Size

6.3.3.2.5.             By End-Use

6.3.4.     South Korea AI in Data Integration Market Outlook

6.3.4.1.         Market Size & Forecast

6.3.4.1.1.             By Value

6.3.4.2.         Market Share & Forecast

6.3.4.2.1.             By Application

6.3.4.2.2.             By Business Function

6.3.4.2.3.             By Deployment Mode

6.3.4.2.4.             By Organization Size

6.3.4.2.5.             By End-Use

6.3.5.     Australia AI in Data Integration Market Outlook

6.3.5.1.         Market Size & Forecast

6.3.5.1.1.             By Value

6.3.5.2.         Market Share & Forecast

6.3.5.2.1.             By Application

6.3.5.2.2.             By Business Function

6.3.5.2.3.             By Deployment Mode

6.3.5.2.4.             By Organization Size

6.3.5.2.5.             By End-Use

6.3.6.     Singapore AI in Data Integration Market Outlook

6.3.6.1.         Market Size & Forecast

6.3.6.1.1.             By Value

6.3.6.2.         Market Share & Forecast

6.3.6.2.1.             By Application

6.3.6.2.2.             By Business Function

6.3.6.2.3.             By Deployment Mode

6.3.6.2.4.             By Organization Size

6.3.6.2.5.             By End-Use

6.3.7.     Vietnam AI in Data Integration Market Outlook

6.3.7.1.         Market Size & Forecast

6.3.7.1.1.             By Value

6.3.7.2.         Market Share & Forecast

6.3.7.2.1.             By Application

6.3.7.2.2.             By Business Function

6.3.7.2.3.             By Deployment Mode

6.3.7.2.4.             By Organization Size

6.3.7.2.5.             By End-Use

7.    Europe & CIS AI in Data Integration Market Outlook

7.1.  Market Size & Forecast          

7.1.1.     By Value

7.2.  Market Share & Forecast

7.2.1.     By Application

7.2.2.     By Business Function

7.2.3.     By Deployment Mode

7.2.4.     By Organization Size

7.2.5.     By End-Use

7.2.6.     By Country

7.3.  Europe & CIS: Country Analysis

7.3.1.     France AI in Data Integration Market Outlook

7.3.1.1.         Market Size & Forecast

7.3.1.1.1.             By Value

7.3.1.2.         Market Share & Forecast

7.3.1.2.1.             By Application

7.3.1.2.2.             By Business Function

7.3.1.2.3.             By Deployment Mode

7.3.1.2.4.             By Organization Size

7.3.1.2.5.             By End-Use

7.3.2.     Germany AI in Data Integration Market Outlook

7.3.2.1.         Market Size & Forecast

7.3.2.1.1.             By Value

7.3.2.2.         Market Share & Forecast

7.3.2.2.1.             By Application

7.3.2.2.2.             By Business Function

7.3.2.2.3.             By Organization Size

7.3.2.2.4.             By End-Us By Application

7.3.2.2.5.             By Business Function

7.3.2.2.6.             By Deployment Mode

7.3.2.2.7.             By Organization Size

7.3.2.2.8.             By End-Use

7.3.3.     United Kingdom AI in Data Integration Market Outlook

7.3.3.1.         Market Size & Forecast

7.3.3.1.1.             By Value

7.3.3.2.         Market Share & Forecast

7.3.3.2.1.             By Application

7.3.3.2.2.             By Business Function

7.3.3.2.3.             By Deployment Mode

7.3.3.2.4.             By Organization Size

7.3.3.2.5.             By End-Use

7.3.4.     Italy AI in Data Integration Market Outlook

7.3.4.1.         Market Size & Forecast

7.3.4.1.1.             By Value

7.3.4.2.         Market Share & Forecast

7.3.4.2.1.             By Application

7.3.4.2.2.             By Business Function

7.3.4.2.3.             By Deployment Mode

7.3.4.2.4.             By Organization Size

7.3.4.2.5.             By End-Use

7.3.5.     Russia AI in Data Integration Market Outlook

7.3.5.1.         Market Size & Forecast

7.3.5.1.1.             By Value

7.3.5.2.         Market Share & Forecast

7.3.5.2.1.             By Application

7.3.5.2.2.             By Business Function

7.3.5.2.3.             By Deployment Mode

7.3.5.2.4.             By Organization Size

7.3.5.2.5.             By End-Use

8.    North America AI in Data Integration Market Outlook

8.1.  Market Size & Forecast          

8.1.1.     By Value

8.2.  Market Share & Forecast

8.2.1.     By Application

8.2.2.     By Business Function

8.2.3.     By Deployment Mode

8.2.4.     By Organization Size

8.2.5.     By End-Use

8.2.6.     By Country

8.3.  North America: Country Analysis

8.3.1.     United States AI in Data Integration Market Outlook

8.3.1.1.         Market Size & Forecast

8.3.1.1.1.             By Value

8.3.1.2.         Market Share & Forecast

8.3.1.2.1.             By Application

8.3.1.2.2.             By Business Function

8.3.1.2.3.             By Deployment Mode

8.3.1.2.4.             By Organization Size

8.3.1.2.5.             By End-Use

8.3.2.     Mexico AI in Data Integration Market Outlook

8.3.2.1.         Market Size & Forecast

8.3.2.1.1.             By Value

8.3.2.2.         Market Share & Forecast

8.3.2.2.1.             By Application

8.3.2.2.2.             By Business Function

8.3.2.2.3.             By Deployment Mode

8.3.2.2.4.             By Organization Size

8.3.2.2.5.             By End-Use

8.3.3.     Canada AI in Data Integration Market Outlook

8.3.3.1.         Market Size & Forecast

8.3.3.1.1.             By Value

8.3.3.2.         Market Share & Forecast

8.3.3.2.1.             By Application

8.3.3.2.2.             By Business Function

8.3.3.2.3.             By Deployment Mode

8.3.3.2.4.             By Organization Size

8.3.3.2.5.             By End-Use

9.    South America AI in Data Integration Market Outlook

9.1.  Market Size & Forecast          

9.1.1.     By Value

9.2.  Market Share & Forecast

9.2.1.     By Application

9.2.2.     By Business Function

9.2.3.     By Deployment Mode

9.2.4.     By Organization Size

9.2.5.     By End-Use

9.2.6.     By Country

9.3.  South America: Country Analysis

9.3.1.     Brazil AI in Data Integration Market Outlook

9.3.1.1.         Market Size & Forecast

9.3.1.1.1.             By Value

9.3.1.2.         Market Share & Forecast

9.3.1.2.1.             By Application

9.3.1.2.2.             By Business Function

9.3.1.2.3.             By Deployment Mode

9.3.1.2.4.             By Organization Size

9.3.1.2.5.             By End-Use

9.3.2.     Argentina AI in Data Integration Market Outlook

9.3.2.1.         Market Size & Forecast

9.3.2.1.1.             By Value

9.3.2.2.         Market Share & Forecast

9.3.2.2.1.             By Application

9.3.2.2.2.             By Business Function

9.3.2.2.3.             By Deployment Mode

9.3.2.2.4.             By Organization Size

9.3.2.2.5.             By End-Use

9.3.3.     Colombia AI in Data Integration Market Outlook

9.3.3.1.         Market Size & Forecast

9.3.3.1.1.             By Value

9.3.3.2.         Market Share & Forecast

9.3.3.2.1.             By Application

9.3.3.2.2.             By Business Function

9.3.3.2.3.             By Deployment Mode

9.3.3.2.4.             By Organization Size

9.3.3.2.5.             By End-Use

9.3.4.     Chile AI in Data Integration Market Outlook

9.3.4.1.         Market Size & Forecast

9.3.4.1.1.             By Value

9.3.4.2.         Market Share & Forecast

9.3.4.2.1.             By Application

9.3.4.2.2.             By Business Function

9.3.4.2.3.             By Deployment Mode

9.3.4.2.4.             By Organization Size

9.3.4.2.5.             By End-Use

10.  Middle East and Africa AI in Data Integration Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value

10.2.              Market Share & Forecast

10.2.1.  By Application

10.2.2.  By Business Function

10.2.3.  By Deployment Mode

10.2.4.  By Organization Size

10.2.5.  By End-Use

10.2.6.  By Country

10.3.              MEA: Country Analysis

10.3.1.  South Africa AI in Data Integration Market Outlook

10.3.1.1.      Market Size & Forecast

10.3.1.1.1.           By Value

10.3.1.2.      Market Share & Forecast

10.3.1.2.1.           By Application

10.3.1.2.2.           By Business Function

10.3.1.2.3.           By Deployment Mode

10.3.1.2.4.           By Organization Size

10.3.1.2.5.           By End-Use

10.3.2.  Saudi Arabia AI in Data Integration Market Outlook

10.3.2.1.      Market Size & Forecast

10.3.2.1.1.           By Value

10.3.2.2.      Market Share & Forecast

10.3.2.2.1.