The global data integration market size was valued at around USD 12.21 Billion in 2022 and is estimated to reach USD 38.47 Billion by 2031, expanding at a CAGR of around 13.6% during the forecast period, 2023–2031. The growth of the market is attributed to the increasing demand for cloud computing and cloud deployment.
Data integration refers to the process of combining data from various sources into a single and unified view. Data is growing in volume through different formats. Data integration software and tools combine data regardless of its structure, type, and volume.
Data integration connects sources to target systems to transfer data from former to later. It facilitates data-driven organizations, enterprises, and companies to integrate valuable data across various departments and locations.
It aids in data integrity and quality, seamless data transfer between systems, easily available data storage, better customer experience, complete view of business intelligence, analytics, and insights, and others. There are several data integration tools such as ETL (Extract, Transform, Load), building data pipeline, creating data warehouse, and others.
Data Integration Market Trends, Drivers, Restraints, and Opportunities
- Rising hybrid working amid the COVID-19 pandemic situation is expected to drive the market during the forecast period.
- Increasing incorporation of data integration with cloud boosts the market.
- Growing adoption of various data integration tools that support data transformation by several enterprises is estimated to fuel the growth of the market in the coming years.
- Increasing concerns regarding data security hinders the growth of the market.
- Lack of experts and resources are anticipated to restrain the market during the projected period.
- Lack of standardization in data integration and management strategies hampers the market.
- Growing demand for self-service data integration and open-source data integration offer growth opportunities to the key market players.
Scope of Data Integration Market Report
The report on the global data integration market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.
Attributes
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Details
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Report Title
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Data Integration Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast
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Base Year
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2022
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Historic Data
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2016–2021
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Forecast Period
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2023–2031
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Segmentation
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Components (Services and Tools), Deployment Models (Cloud and On-premise), Applications (Operations, Marketing, Finance, Sales, and Human Resources), Enterprises Sizes (Small & Medium Enterprises and Large Enterprises), and End-users (Healthcare, BFSI, IT & Telecommunication, Government, Retail & Consumer Goods, and Others)
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Regional Scope
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Asia Pacific, North America, Latin America, Europe, and Middle East & Africa
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Report Coverage
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Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast
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Key Players Covered in the Report
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International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; Cisco Systems, Inc.; Microsoft Corporation; SAS Institute, Inc.; Informatica; TIBCO Software, Inc.; Actian Corporation; Precisely; Denodo Technologies, Inc.; Talend; QlikTech International AB; Real-Time Technology Solutions, Inc.; Teradata Corporation; and Others
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Data Integration Market Segment Insights
Components Segment Analysis
Based on components, the market is divided into services and tools. The service segment is expected to boost the market during the forecast period, due to increasing need combine several diverse data sources and rising adoption of cloud computing.
The tools segment is anticipated to register a high CAGR during the forecast period, as the data integration tools are required to perform data mapping, data transformation, and data cleansing. The segment is anticipated to generate maximum revenue in to coming years.
Deployment Models Segment Analysis
In terms of deployment models, the market is bifurcated into cloud and on-premise. The cloud segment is projected to drive the market during the forecast period, as the cloud-based data integration software gains traction during the COVID-19 pandemic situation. It facilitates remote workforce and support scalable infrastructure.
The cloud-based data integration software is reliable, secure, and offer off-premises technology services, which aid in the expansion of the cloud segment. The on-premise segment is anticipated to spur the market in the coming years, owing to availability of simple deployment options and low time and capital requirements.
Applications Segment Analysis
On the basis of applications, the market is segmented into operations, marketing, finance, sales, and human resources. The human resources segment is estimated to fuel the market during the forecast period, as human resources management use data integration to compare metrics of various sources at a single data source. Data integration aids human resources management in recruitments, in cost-effectiveness, and in optimizing employee performances.
Enterprises Sizes Segment Analysis
Based on enterprise sizes, the market is divided into small & medium enterprises and large enterprises. The large enterprises segment is estimated to drive the market during the forecast period, as large enterprises need to maintain infrastructure to support their products and services and address rising trend of remote workforce. The small & medium enterprises segment is anticipated to expand during the projected period, owing to few infrastructure requirements and optimized maintenance cost.
End-users Segment Analysis
In terms of end-users, the market is segregated into healthcare, BFSI, IT & telecommunication, government, retail & consumer goods, and others. The BFSI segment is estimated to expand at a significant pace, due to increasing adoption of data integration in the BFSI sector. Data integration facilitates banks and other financial firms in managing cost and time, enhance client experience, and restructure the process. This aids in the expansion of the BFSI segment.
Regional Analysis
On the basis of regions, the market is segmented into Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. The market in North America is expected to register a high CAGR during the forecast period, due to rising technological improvements and investments to automate business processes in the region.
Growing number of data integration companies in the region aids the expansion of the market in North America. The market in Asia Pacific is anticipated expand in the coming years, as there are several key players and data integration services providers expanding their footprint in the region.
Segments
The global data integration market has been segmented on the basis of
Components
Deployment Models
Applications
- Operations
- Marketing
- Finance
- Sales
- Human Resources
Enterprises Sizes
- Small & Medium Enterprises
- Large Enterprises
End-users
- Healthcare
- BFSI
- IT & Telecommunication
- Government
- Retail & Consumer Goods
- Others
Regions
- Asia Pacific
- North America
- Latin America
- Europe
- Middle East & Africa
Key Players
- International Business Machines Corporation (IBM)
- Oracle Corporation
- SAP SE
- Cisco Systems, Inc.
- Microsoft Corporation
- SAS Institute, Inc.
- Informatica
- TIBCO Software, Inc.
- Actian Corporation
- Precisely
- Denodo Technologies, Inc.
- Talend
- QlikTech International AB
- Real-Time Technology Solutions, Inc.
- Teradata Corporation
- Others
Competitive Landscape
The global data integration market is competitive with the presence of key players such as International Business Machines Corporation (IBM); Oracle Corporation; SAP SE; Cisco Systems, Inc.; Microsoft Corporation; SAS Institute, Inc.; Informatica; TIBCO Software, Inc.; Actian Corporation; Precisely; Denodo Technologies, Inc.; Talend; QlikTech International AB; Real-Time Technology Solutions, Inc.; Teradata Corporation; and others, who use strategies such as mergers, acquisitions, collaborations, product launches, and partnerships to strengthen their hold on the market. For instance,
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In March 2021, Informatica launched a serverless Spark-based data integration engine with accelerator by NVIDIA, which facilitates performance, scalability, and speed.
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In September 2021, Microsoft Corporation launched Azure Data Factory, a cloud-based service that enables to create data-driven workflow for arranging data movement and data transformation.