Data Integration Market Size, Share & Trends Analysis Report By Component (Services, Tools), By Deployment (Cloud, On-premise), By Organization Size (Large, SMEs), By End-user, By Business Application, By Region, And Segment Forecasts, 2023 - 2030

Data Integration Market Size, Share & Trends Analysis Report By Component (Services, Tools), By Deployment (Cloud, On-premise), By Organization Size (Large, SMEs), By End-user, By Business Application, By Region, And Segment Forecasts, 2023 - 2030


Data Integration Market Growth & Trends


The global data integration market size is expected to reach USD 30.27 billion by 2030, according to a new report by Grand View Research, Inc. The industry is anticipated to grow at a lucrative CAGR of 12.3% from 2023 to 2030. Data integration solutions and tools are a collection of organizational and technical, and procedures created to combine data from many sources into understandable and valuable data sets. Data integration solutions are provided through tools like ETL (extract, transform, and load), data replication, and data virtualization. These tools enable the extraction of vast volumes of data from source systems and the loading of those data into a cloud source or an enterprise data warehouse.The end location must be adaptable enough to handle various data types at high volumes.

For instance, in February 2022, NAVEX Global, Inc., a compliance management software provider, launched the NAVEX Integration Cloud platform. The new data integration platform would automate risk management workflows and integrate a wide variety of business data in a single comprehensive view in the cloud.With a thorough understanding of automated risk management and streamlined procedures, NAVEX Integration Cloud fulfills the company's goal to offer the world's smartest integrated platform. As a result, enterprises are better able to foresee and mitigate risk. As we produce more data, data integration has become more crucial. Data integration aims to ensure that data is stored and preserved as planned. Moreover, the data set obtained from a data search is desired and anticipated.

Data integrity can be aided by maintaining a centralized view of all the data in a single location, such as a data warehouse. In fact, over time, data integration aids in enhancing the accuracy and reliability of data. The quality and integrity of the data can be improved when it is transferred to the central location by data transformation operations, which can also detect data quality problems. Further, data integration enables manufacturers to fully utilize the value of the data generated from their facilities by smoothly integrating information technology with operational technology. For instance, in May 2022, Google Cloud launched manufacturing connect and manufacturing data engine integration platforms for manufacturers. The integration platforms would enable manufacturers to process and standardize data in a single locationand provide their staff with simplified analytics and artificial intelligence (AI) solutions based on cloud infrastructure.

Without significant changes to current applications or data structures, well-implemented data integration can lower IT costs, free up resources, enhance data quality, and promote creativity. Although IT firms have always needed to integrate, the benefits may not have previously been as high as they are now due to data integration. Companies with advanced data integration skills have a substantial competitive advantage, including more significant value and insight development with a holistic viewpoint of facts that is easier to examine; operational efficiency was increased by eliminating the need to manually alter and integrate data sources. Integrating data can assist a company in using information that would otherwise require development. By doing this, companies can boost productivity by enhancing departmental communication, delivering better customer service, streamlining processes, and improving decision-making.

Data Integration Market Report Highlights

  • The North America market dominated the global market in 2022. However, Asia Pacific is projected to register the highest CAGR from 2023 to 2030
  • Some regions in North America have the most competitive and constantly changing and rising technology improvements in the market. The rising number of data integration businesses globally is projected to support market expansion
  • The large enterprise segment dominated the market in 2022 and accounted for a revenue share of over 67%
  • Large enterprises are scaling their infrastructure to meet remote workers' needs and unique demands. Enterprises also maintain infrastructural support for their services and goods
  • The cloud segment is anticipated to register the highest CAGR over the forecast period. Organizations can store essential resources in the cloud and access various customizable data integration options
  • The marketing segment led the market in 2022 accounting for over a share of 32% of the global revenue. Data integration is essential for marketers to understand their customers better and target their marketing campaigns more effectively
Please note The report will be delivered in 2-3 business days upon order notification.


Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope and Assumptions
1.3. Information Procurement
1.3.1. Purchased Database
1.3.2. Gvr’s Internal Database
1.3.3. Secondary Sources & Third-Party Perspectives
1.3.4. Primary Research
1.4. Information Analysis
1.4.1. Data Analysis Models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segmental Outlook
2.3. Competitive Insights
Chapter 3. Market Variables, Trends, and Scope
3.1. Market Lineage
3.2. Industry Value Chain Analysis
3.3. Data Integration Market - Market Dynamics
3.3.1. Market Driver Analysis
3.3.1.1. Increasing Demand For Data Integration Tools & Software
3.3.1.2. Technology Advancements In Cloud Computing
3.3.2. Market Restraint Analysis
3.3.2.1. High Cost Of The Data Integration Software
3.3.3. Industry Challenges
3.4. Business Environmental Tools Analysis: Computer Vision Market
3.4.1. porter’s Five Forces Analysis
3.4.1.1. Bargaining Power Of Suppliers
3.4.1.2. Bargaining Power Of Buyers
3.4.1.3. Threat Of Substitution
3.4.1.4. Threat Of New Entrants
3.4.1.5. Competitive Rivalry
3.4.2. Pestle Analysis
3.4.2.1. Political Landscape
3.4.2.2. Economic Landscape
3.4.2.3. Social Landscape
3.4.2.4. Technology Landscape
3.4.2.5. Environmental Landscape
3.4.2.6. Legal Landscape
3.5. Economic Mega Trend Analysis
Chapter 4. Data Integration Market: Component Estimates & Trend Analysis
4.1. Data Integration Market, By Component: Key Takeaways
4.2. Data Integration Market: Component Movement Analysis, 2022 & 2030
4.3. Tools
4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
4.4. Services
4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 5. Data Integration Market: Deployment Estimates & Trend Analysis
5.1. Data Integration Market, by Deployment: Key Takeaways
5.2. Data Integration Market: Deployment Movement Analysis, 2022 & 2030
5.3. Cloud
5.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
5.4. On-Premises
5.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 6. Data Integration Market: Organization Size Estimates & Trend Analysis
6.1. Data Integration Market, By Organization Size: Key Takeaways
6.2. Data Integration Market: Organization Size Movement Analysis, 2022 & 2030
6.3. Small & Medium Enterprises
6.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
6.4. Large Enterprises
6.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 7. Data Integration Market: Business Application Estimates & Trend Analysis
7.1. Data Integration Market, by Business Application: Key Takeaways
7.2. Data Integration Market: Business Application Movement Analysis, 2022 & 2030
7.3. Marketing
7.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.4. Sales
7.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.5. Operations & Supply Chain
7.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.6. Finance
7.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
7.7. Hr
7.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 8. Data Integration Market: End-user Estimates & Trend Analysis
8.1. Data Integration Market, by End-user: Key Takeaways
8.2. Data Integration Market: End-user Movement Analysis, 2022 & 2030
8.3. IT & Telecom
8.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.4. Bfsi
8.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.5. Healthcare
8.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.6. Manufacturing
8.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.7. Retail & E-Commerce
8.7.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.8. Government
8.8.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
8.9. Others
8.9.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 9. Data Integration Market: Regional Estimates & Trend Analysis
9.1. Data Integration Market: Regional Movement Analysis, 2022 & 2030
9.2. North America
9.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.2.2. U.S.
9.2.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.2.3. Canada
9.2.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.2.4. Mexico
9.2.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.3. Europe
9.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.3.2. Germany
9.3.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.3.3. France
9.3.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.3.4. Uk
9.3.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.4. Asia Pacific
9.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.4.2. China
9.4.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.4.3. Japan
9.4.3.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.4.4. India
9.4.4.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.5. South America
9.5.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.5.2. Brazil
9.5.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
9.6. Middle East & Africa
9.6.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 10. Competitive Landscape
10.1. Company Categorization
10.2. Company Market Positioning
10.3. Company Market Share Analysis, 2022
10.4. Company Heat Map Analysis
10.5. Strategy Mapping
10.6. Company Profiles/Listing
10.6.1. Informatica Inc.
10.6.1.1. Overview
10.6.1.2. Financial Performance
10.6.1.3. Product Benchmarking
10.6.1.4. Strategic Initiatives
10.6.2. IBM CORPORATION
10.6.2.1. Overview
10.6.2.2. Financial Performance
10.6.2.3. Product Benchmarking
10.6.2.4. Strategic Initiatives
10.6.3. MICROSOFT
10.6.3.1. Overview
10.6.3.2. Financial Performance
10.6.3.3. Product Benchmarking
10.6.3.4. Strategic Initiatives
10.6.4. SAP
10.6.4.1. Overview
10.6.4.2. Financial Performance
10.6.4.3. Product Benchmarking
10.6.4.4. Strategic Initiatives
10.6.5. ORACLE
10.6.5.1. Overview
10.6.5.2. Financial Performance
10.6.5.3. Product Benchmarking
10.6.5.4. Strategic Initiatives
10.6.6. TALEND
10.6.6.1. Overview
10.6.6.2. Financial Performance
10.6.6.3. Product Benchmarking
10.6.6.4. Strategic Initiatives
10.6.7. SAS INSTITUTE INC.
10.6.7.1. Overview
10.6.7.2. Financial Performance
10.6.7.3. Product Benchmarking
10.6.7.4. Strategic Initiatives
10.6.8. TIBCO SOFTWARE INC.
10.6.8.1. Overview
10.6.8.2. Financial Performance
10.6.8.3. Product Benchmarking
10.6.8.4. Strategic Initiatives
10.6.9. DENODO TECHNOLOGIES
10.6.9.1. Overview
10.6.9.2. Financial Performance
10.6.9.3. Product Benchmarking
10.6.9.4. Strategic Initiatives
10.6.10. QLIKTECH INTERNATIONAL AB
10.6.10.1. Overview
10.6.10.2. Financial Performance
10.6.10.3. Product Benchmarking
10.6.10.4. Strategic Initiatives

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings