The Business Research Company’s report on the Data Integration Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
Which emerging drivers are set to accelerate the growth of the data integration market further?
The rise in big data technologies is expected to propel the data integration market. Big data technologies are rising due to the need for handling extensive, random, and high-velocity data and enabling decision-makers to limit risks, discover new insights and improve decision-making. This rise in big data technologies will create a huge demand for data integration as it is an essential part of big data technologies and a crucial step before analyzing big data for insights. The data integration combines data in a simple and unified manner that helps for easy analysis of data during the use of big data technologies. For instance, in December 2022, according to Capgemini, a French based information technology company, 27% of business executives say their company’s Big Data initiatives are profitable. Therefore, the rise in big data technologies will drive the data integration market growth.
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What are the key factors influencing the forecasted market size of the data integration industry?
The data integration market size has grown strongly in recent years. It will grow from $13.97 billion in 2024 to $15.22 billion in 2025 at a compound annual growth rate (CAGR) of 9.0%. The growth in the historic period can be attributed to globalization and distributed data sources, focus on data quality and master data management, adoption of self-service data integration, increased complexity of it environments, data warehousing evolution.
The data integration market size is expected to see rapid growth in the next few years. It will grow to $25.69 billion in 2029 at a compound annual growth rate (CAGR) of 14.0%. The growth in the forecast period can be attributed to evolving industry-specific requirements, focus on customer satisfaction and experience, global regulatory and governance considerations, continuous improvement and analytics focus, alignment with devops practices, compliance with data privacy regulations, edge computing integration, focus on customer experience and insights, real-time data integration, diversity of data sources. Major trends in the forecast period include vendor consolidation and platform offerings, globalization and data integration challenges, event-driven architecture, focus on data privacy and security, containerization and microservices architecture.
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Who are the leading competitors in the data integration market?
Major companies operating in the data integration market include International Business Machines Corporation, Microsoft Corporation, SAP SE, Oracle Corporation, SAS Institute Inc., ServiceNow Inc., Hewlett Packard Enterprise Company (HPE), BMC Software Inc., Broadcom Inc. (formerly CA Technologies), Cherwell Software LLC, Ivanti Inc., Axios Systems plc, Citrix Systems Inc., Hornbill Systems Limited, EasyVista Inc., Micro Focus International plc, Atlassian Corporation Plc, Alemba Limited, SysAid Technologies Ltd., Freshworks Inc., SolarWinds Corporation, Zendesk Inc., Agiloft Inc., TOPdesk International B. V., HappyFox Inc., Zoho Corporation Pvt. Ltd., Google Cloud Dataflow, Amazon Web Services (AWS) Glue, Informatica PowerCenter, Talend Open Studio
Which emerging trends are set to transform the data integration market landscape?
Technological advancement is a key trend gaining popularity in the data integration market. The market is witnessing the implementation of next-generation technologies into data integration such as data warehousing, data virtualization, artificial intelligence (AI), machine learning (ML), and others. The advanced data integration tools make the process even more effective, and enable advanced automation, ease of use, and flexible approach while enhancing multiple use cases. Major companies operating in the data integration market are focused on providing technologically advanced data integration solutions and services to strengthen their market position. For instance, in September 2024, Airbyte, a US based technology company that specializes in data integration, launched Airbyte 1.0 and Airbyte Self-Managed Enterprise GA. This launch introduced significant innovations such as an AI-powered connector builder, which allows users to create custom data connectors quickly, and the first-ever Connector Marketplace, featuring over 300 data connectors ready for integration.
How do different geographies compare in terms of market share and growth potential in the data integration market?
North America was the largest region in the data integration market in 2024. The regions covered in the data integration market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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Which major segments of the data integration market are experiencing the fastest growth?
The data integration market covered in this report is segmented –
1) By Component: Tools, Services, Professional Services, Managed Services
2) By Deployment Mode: Cloud, On-Premises
3) By Organization: Large Enterprises, Small Enterprises, Medium Enterprises
4) By Industry Vertical: BFSI, Retail And Consumer Goods, Media And Entertainment, Manufacturing, Energy And Utilities, Healthcare And Life Sciences, Telecom And IT, Government And Defense, Transportation And Logistics, Travel And Hospitality, Academia and Research
Subsegments:
1) By Tools: Data Integration Software, ETL (Extract, Transform, Load) Tools, Data Quality Tools, Data Governance Tools
2) By Services: Consulting Services, Implementation Services, Support And Maintenance Services
3) By Professional Services: Strategy And Planning Services, Training And Education Services, Custom Development Services
4) By Managed Services: Data Integration Management, Ongoing Support Services, Performance Monitoring Services
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How is the data integration market defined?
The data integration refer to a process of collecting data from multiple sources together to provide users with a unified view used for operational and analytical processes. These data integration sources include multiple data cubes, databases, or flat files. Data integration aims to help understand what numerous data sources are pointing out.
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