The data integration market size to grow from USD 11.6 billion in 2021 to USD 19.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 11.0% during the forecast period. 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.
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Data integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process and includes steps such as cleansing, ETL mapping, and transformation. Data integration ultimately enables analytics tools to produce effective, actionable business intelligence. The data integration market consists of data integration tools and services, used to combine data from disparate sources and deliver the result in the form of integrated data. This integrated data is used to get actionable insights. The best use case of data integration is to make an efficient enterprise data warehouse. The data stored in data warehouses can be accessed for analysis to get a holistic view of enterprise-wide data. Hence, data integration plays an important role, when it comes to managing heterogeneous data sources. Enterprise Application Integration (EAI); Enterprise Information Integration (EII); and Extract, Transform, and Load (ETL) are the major technologies of data integration tools.
The services segment to hold higher CAGR during the forecast period
Based on components, the data integration market is segmented into software and services. The services segment has been further divided into professional and managed services. These services play a vital role in the functioning of data integration, as well as ensure faster and smoother implementation that maximizes the value of the enterprise investments. The growing adoption of data integration is expected to boost the adoption of professional and managed services. Professional service providers have deep knowledge related to the products and enable customers to focus on the core business, while MSPs help customers improve business operations and cut expenses.
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The marketing business application to hold the largest market size during the forecast period
With the advent of IoT and mobile technologies, the massive amount of data (big data in most cases) has compelled marketers to deploy tools and practices that can help them make sense of this data. Data integration supports this requirement by providing marketers a platform to consolidate the data captured from various sources into a useful format ready for analysis. Data integration enables marketers to integrate all their data collected from different marketing channels and feed it into an analysis tool that can analyze and extract relevant information for them. By using data integration tools, marketers can develop a customer-centric view and target their marketing efforts more precisely instead of dealing with different marketing channels against channel-specific metrics.
Unique Features in the Data Integration Market
With capabilities that guarantee data quality, accuracy, and governance, advanced data integration tools assist enterprises in upholding consistency and compliance across a variety of data sources.
Business users can deal with data without a lot of IT support when data integration tasks can be completed by non-technical people thanks to user-friendly interfaces and self-service capabilities.
One of its unique advantages is its capacity to manage and integrate data between cloud and on-premises settings with ease, which supports the expanding trend of multi-cloud and hybrid infrastructures.
Data integration technologies with automation features expedite data transportation and transformation between systems, minimise manual intervention, and streamline ETL procedures.
Machine learning algorithms are used in some systems to improve data integration procedures, eventually leading to better data matching, cleansing, and mapping capabilities.
Major Highlights of the Data Integration Market
The market for data integration has grown significantly as a result of the need for seamless data communication and the volume, variety, and complexity of data rising.
Data integration solutions that can connect and manage data across on-premises and cloud systems are in high demand as a result of organisations embracing hybrid and multi-cloud strategies.
The importance of real-time data integration solutions is rising as they help businesses handle and analyse data as it comes in, facilitating quicker insights and decision-making.
The emergence of self-service data integration solutions has enabled non-technical users to take on data integration responsibilities, decreasing dependency on IT departments and quickening the pace of decision-making based on data.
With the advancement of automation elements in Extract, Transform, and Load (ETL) procedures, data integration workflows may now be streamlined, manual labour is reduced, and overall efficiency is increased.
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Top Key Companies in the Data Integration Market
Some of the key players operating in the data integration market include IBM(US), Microsoft(US), SAP(Germany), Oracle(US), SAS Institute(US), Talend(US), Informatica(US), Precisely(US), Software AG(Germany), Salesforce(US), Qlik(US), and Tibco(US). These data integration vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the data integration market.
International Business Machines (IBM) was incorporated in 1911 and is headquartered in New York, US. IBM is one of the leading American computer manufacturers and providers of cloud, cognitive security, research, analytics, consulting, IoT, and IT infrastructure. IBM operates through five segments: Cloud & Cognitive Software, Systems, Global Technology Services, Global Business Services, and Global Financing. The company manufactures and sells computer hardware and software, and offers infrastructure services, consulting services, and hosting services for mainframe computers and nanotechnology. It has a client base of more than 17,000 in more than 130 countries. Further, it has almost 8,000 subject matter experts and more than 3,000 researchers working in 12 labs located across six continents. For more than seven decades, IBM has been building industry-based solutions to real world problems with the help of Watson, its AI platform for business, redefining the future of information technology through its high-quality R&D.
SAS Institute was founded in 1976 and is headquartered in North Carolina, US. SAS is the global leader in business analytics software and services and is the largest independent vendor in the BI industry. SAS provides software applications including BI, data integration, fraud management, financial management, and IT management. Through innovative software and services, SAS empowers its customers to transform data into business intelligence.
Informatica is a global independent provider of data integration and data management software and services. It caters to various verticals, such as automotive, consumer products, education and research, financial services, energy and utilities, entertainment and media, healthcare, life sciences, high technology, manufacturing, public sector, retail and wholesale, telecom, hospitality and travel, and transportation. The company sells its products through its direct salesforce, systems integrators, resellers, distributors, and original equipment manufacturer partners.
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