Data Integration Market Size, Share & Analysis Report, 2023-2032
The global data integration market size was exhibited at USD 12.65 billion in 2022 and is projected to hit around USD 39.54 billion by 2032, growing at a CAGR of 12.07% during the forecast period 2023 to 2032.
Key Pointers:
An industry trend analysis of the market is part of the latest research report. The most important stakeholders, conference and webinar materials, patent analysis, pricing analysis, and market buying behaviour are all included in the most recent research study. Various factors such as rise in big data technologies and cloud computing technologies, increasing amount of on-cloud data and incapability of traditional data management tools are expected to drive the adoption of data integration solutions and services.
Data Integration Market Report Scope
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Report Coverage |
Details |
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Market Size in 2023 |
USD 14.18 Billion |
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Market Size by 2032 |
USD 39.54 Billion |
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Growth Rate From 2023 to 2032 |
CAGR of 12.07% |
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Base Year |
2022 |
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Forecast Period |
2023 to 2032 |
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Segments Covered |
By Component, By Deployment, By Organization Size, By Business Application, and By End-user |
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Market Analysis (Terms Used) |
Value (US$ Million/Billion) or (Volume/Units) |
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Regional Scope |
North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa |
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Key Companies Profiled |
Informatica Inc., International Business Machines Corporation, Microsoft, SAP, Oracle, Talend, SAS Institute Inc., TIBCO Software Inc., Denodo Technologies, QlikTech International Abs and others |
COVID-19 Impact
COVID–19 has globally changed the dynamics of business operations. Though the COVID–19 outbreak has thrown light on weaknesses in business models across verticals, it has offered several opportunities to digitalize and expand their business across regions as the adoption and integration of technologies such as cloud, AI, analytics, IoT, and blockchain has increased in the lockdown period. The retail and manufacturing sectors faced a significant dip in business performance during the first and second quarters of 2020. However, with the availability of vaccines and considerable control achieved over the pandemic, these sectors are expected to witness rising investments throughout the forecast period as data integration solutions grow in prominence across different business functions.
Data Integration Market Growth Dynamics
Driver: Rise of Big Data Technologies
With the increasing customer base and expansion of new regions and markets, organizations are facing many challenges to deal with the rapidly growing data sources. With the advent of big data technology, organizations have begun to recognize the benefits of implementing big data with full potential and are investing in big data technologies, including data integration. The growing data sources include internal data sources, such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), financial transactions from different departments, and external data sources such as web and cloud data sources, which are forming several information silos. Organizations require advanced data integration tools to combine these information silos, helping in getting valuable business insights, as traditional tools are becoming insufficient to capture and integrate data and combine these information silos. Modern data integration tools, including advanced transformation tools offered by different vendors, are equipped with advanced features, such as data capture, data profiling, data quality, data governance, and metadata management, to process data post-integration, resulting in smooth and reliable extraction of data.
Restraint: Lack of Expertise
Organizations, these days, should deploy advanced data integration technologies in data management and business management to capture and integrate the massive amounts of data from various internal and external data sources and combine the information silos to get valuable business insights. However, knowledge constraints and inadequate skills among the workforce limit them from adopting data integration tools. Organizations mostly work in silos; to gain a wider perspective of different verticals and applications, the need for data integration becomes more important. According to various reports and studies, surveys have repeatedly shown the poor knowledge and skills of the workforce in organizations. As per MarketsandMarket's internal analysis, only 18% of the organizations have adequate knowledgeable staff in the workplace to work on big data projects. To overcome this issue, organizations should focus on and invest heavily in training and certifications so that the workforce gets proper knowledge about the big data integration techniques and strategies and implements them for efficient data management.
Opportunity: Increasing amount of on-cloud data
The demand for cloud computing technology is growing day by day as it helps organizations in capturing data from disparate sources, such as connected remote sensors, distributed servers and web, and getting valuable business insights from the data. To capture and integrate this massive amount of data collected from various internal and external sources and combine the information silos, organizations require advanced big data integration tools. These tools can easily adapt to the organizations’ requirements and allow organizations to fully leverage their data pool by integrating data from cloud and the on-premise data transferred over cloud.
After the COVID-19 pandemic and global lockdown, organizations are preferring cloud deployments more over on-premises deployments. Hence, it has been a necessity for organizations to modify their data management strategies and implement data integration strategies, which makes a great opportunity for the data integration market to grow and expand the business.
Challenge: Mismanagement in Enterprise-level Planning
It is important for an organization to align its data integration and management strategies with its business strategies to deliver projects efficiently. But organizations often fail in their enterprise-level planning as there are multiple departments in an organization and different departments have different data integration requirements based on their respective information silos. A standard data integration strategy is required in an organization for effective enterprise-level planning. Organizations often have redundant data integration paths. They implement multiple tools and strategies for the same functionality or use multiple versions of the same products. Therefore, it is important for the organizations to have proper enterprise-level planning and deploy a standardization in data integration and management strategies to increase production in all levels and departments of the companies.
North America to account for largest data integration market size during the forecast period
North America is expected to have the largest market share in the data integration market. Key factors favoring the growth of the market in North America include the increasing technological advancements in the region. The growing number of data integration players across regions is expected to further drive market growth.
Some of the prominent players in the Data Integration Market include:
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Data Integration market.
By Component
By Deployment
By Organization Size
By Business Application
By End-user
By Region
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Data Integration Market
5.1. COVID-19 Landscape: Data Integration Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Data Integration Market, By Component
8.1. Data Integration Market, by Component, 2023-2032
8.1.1. Tools
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Services
8.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Data Integration Market, By Deployment
9.1. Data Integration Market, by Deployment, 2023-2032
9.1.1. On-Premise
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Data Integration Market, By Organization Size
10.1. Data Integration Market, by Organization Size, 2023-2032
10.1.1. Large Enterprises
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Small & Mid-Size Enterprises
10.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Data Integration Market, By Business Application
11.1. Data Integration Market, by Business Application, 2023-2032
11.1.1. Marketing
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Sales
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Operations & Supply Chain
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Finance
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. HR
11.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Data Integration Market, By End-user
12.1. Data Integration Market, by End-user, 2023-2032
12.1.1. IT & Telecom
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. BFSI
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Healthcare
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Manufacturing
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. Retail & E-commerce
12.1.5.1. Market Revenue and Forecast (2020-2032)
12.1.6. Government & Defense
12.1.6.1. Market Revenue and Forecast (2020-2032)
12.1.7. Others
12.1.7.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Data Integration Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.1.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.1.5. Market Revenue and Forecast, by End-user (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.1.6.5. Market Revenue and Forecast, by End-user (2020-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.7.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.1.7.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.1.7.5. Market Revenue and Forecast, by End-user (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.2.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.2.5. Market Revenue and Forecast, by End-user (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.2.7. Market Revenue and Forecast, by Business Application (2020-2032)
13.2.8. Market Revenue and Forecast, by End-user (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.2.10. Market Revenue and Forecast, by Business Application (2020-2032)
13.2.11. Market Revenue and Forecast, by End-user (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.2.13. Market Revenue and Forecast, by End-user (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.2.15. Market Revenue and Forecast, by End-user (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.3.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.3.5. Market Revenue and Forecast, by End-user (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.3.7. Market Revenue and Forecast, by End-user (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.3.9. Market Revenue and Forecast, by End-user (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.3.10.5. Market Revenue and Forecast, by End-user (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.3.11.5. Market Revenue and Forecast, by End-user (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.4.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.4.5. Market Revenue and Forecast, by End-user (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.4.7. Market Revenue and Forecast, by End-user (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.4.9. Market Revenue and Forecast, by End-user (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.4.10.5. Market Revenue and Forecast, by End-user (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.4.11.5. Market Revenue and Forecast, by End-user (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.5.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.5.5. Market Revenue and Forecast, by End-user (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.5.7. Market Revenue and Forecast, by End-user (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Organization Size (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Business Application (2020-2032)
13.5.8.5. Market Revenue and Forecast, by End-user (2020-2032)
Chapter 14. Company Profiles
14.1. Informatica Inc.
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. International Business Machines Corporation
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. Microsoft
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. SAP
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Oracle
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Talend
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. SAS Institute Inc.
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. TIBCO Software Inc.
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. Denodo Technologies
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
14.10. QlikTech International ABs
14.10.1. Company Overview
14.10.2. Product Offerings
14.10.3. Financial Performance
14.10.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers