Data Integration Market: Current Analysis and Forecast (2022-2028)
Emphasis on Deployment Mode (Cloud and On-Premises); Organization Size, (Small and Medium Enterprises); End-Users (IT & Telecom, BFSI, Healthcare, Government & Public Sector, Manufacturing, and Others) Region/Country.
Data integration is the process of combining data from different sources and making it available for use in a unified manner. This can involve a variety of activities, such as data cleaning, data transformation, and data integration tools. The goal of data integration is to provide a single, comprehensive view of data that is useful for decision-making and analysis. Data integration is used in a wide range of industries, including healthcare, finance, and retail.
The data integration market is expected to grow at a strong CAGR of around 12% during the forecast period owing to the increasing awareness among customers, the proliferation of IoT in emerging economies, and surging disposable incomes and urbanization. The data integration market has experienced rapid growth over the past few years, as more and more businesses seek to move their operations to the cloud for increased efficiency, cost savings, and scalability. This trend is expected to continue as cloud technology becomes more advanced and the benefits of data integration become more widely recognized which will result in the growth of the data integration market.
Some of the major players operating in the market include Informatica Inc., IBM, Microsoft, SAP, Oracle, Talend, SAS Institute Inc., TIBCO Software Inc., Denodo Technologies, and QlikTech International AB. Several M&As along with partnerships have been undertaken by these players to facilitate customers with hi-tech and innovative products/technologies.
Insights Presented in the Report
“Amongst deployment mode, the on-premises segment held a dominating share of the market in 2021”
Based on deployment mode, the market is segmented into cloud and on-premises. The on-premises segment dominated the data integration market in 2021 due to its capabilities in integrating data from various on-premises sources, including data replication tools and unified data systems. However, the cloud segment is expected to grow significantly in the coming years as cloud platforms aim to create unified data stores that can be accessed by all applications and users. Cloud data integration involves connecting various systems and applications for real-time data exchange and transforming, consolidating, and cleaning data to provide users with a single view of all interactions. For instance, Denodo Technologies launched its cloud data integration solution called Denodo Standard in March 2021. Denodo Standard is a cloud-based data integration platform that allows organizations to easily connect and integrate data from various sources and systems, including cloud and on-premises databases, applications, and cloud services. It provides a unified view of all data across the organization, enabling businesses to make informed decisions faster.
“Amongst organization size, the large enterprise segment held a dominating share of the market in 2021”
On the basis of organization size, the market is segmented into small and medium enterprises and large enterprises. The large enterprise segment dominated the data integration market in 2021 due to the high adoption rate of data integration software among large enterprises to meet new demands, scale their infrastructure, and maintain support for their products and services. Data integration benefits large enterprises in various ways, such as increasing productivity, providing greater visibility, reducing the burden of IT, and helping them gain more opportunities. The launch of integrated governance frameworks by companies like Torry Harris Business Solutions is a testament to the importance of data integration in large enterprises and the need for effective governance to ensure seamless integration and maintenance of support for services.
“North America dominated the data integration market in 2021.”
North America dominated the data integration market in 2021, accounting for over 39% share of the global revenue. This is primarily due to the high adoption of digital strategies and the presence of developed countries like Canada and the U.S. that drive market growth. The region is moving towards upgraded and innovative technologies, and this is reflected in the increasing adoption of data integration solutions. Growing technological advancements in the area are essential factors promoting market expansion in North America, and the rising number of global data integration businesses will aid the expanding market.
Data Integration Market Report Coverage
Reasons to buy this report:
- The study includes market sizing and forecasting analysis validated by authenticated key industry experts.
- The report presents a quick review of overall industry performance at one glance.
- The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolios, expansion strategies, and recent developments.
- Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.
- The study comprehensively covers the market across different segments.
- Deep dive regional level analysis of the industry.
Customization Options:
The global data integration market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.
Table of Contents
Research Methodology for the Data Integration Market Analysis (2022-2028)
Analyzing the historical market, estimating the current market, and forecasting the future market of the global data integration market were the three major steps undertaken to create and analyze the adoption of data integration in major regions globally. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to validate these insights, numerous findings and assumptions were taken into consideration. Moreover, exhaustive primary interviews were also conducted, with industry experts across the value chain of the global data integration market. Post assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. Detailed methodology is explained below:
Analysis of Historical Market Size
Step 1: In-Depth Study of Secondary Sources:
Detail secondary study was conducted to obtain the historical market size of the data integration market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.
Step 2: Market Segmentation:
After obtaining the historical market size of the data integration market, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report as deployment mode, organization size, and end-users. Further country-level analyses were conducted to evaluate the overall adoption of testing models in that region.
Step 3: Factor Analysis:
After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size of the data integration market. Further, we conducted factor analysis using dependent and independent variables such as deployment mode, organization size, and end-users of the data integration market. A thorough analysis was conducted for demand and supply-side scenarios considering top partnerships, mergers and acquisitions, business expansion, and product launches in the data integration market sector across the globe.
Current Market Size Estimate & Forecast
Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the global data integration market, and market shares of the segments. All the required percentage shares split, and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.
Estimation & Forecasting: For market estimation and forecast, weights were assigned to different factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast for 2028 for different segments and sub-segments across the major markets globally. The research methodology adopted to estimate the market size encompasses:
- The industry’s market size, in terms of revenue (USD) and the adoption rate of the data integration market across the major markets domestically
- All percentage shares, splits, and breakdowns of market segments and sub-segments
- Key players in the global data integration market in terms of products offered. Also, the growth strategies adopted by these players to compete in the fast-growing market
Market Size and Share Validation
Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.
Split of Primary Participants in Different Regions
Market Engineering
The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global data integration market. data was split into several segments & sub-segments post studying various parameters and trends in the areas of the deployment mode, organization size, and end-users in the global data integration market.
The main objective of the Global Data Integration Market Study
The current & future market trends of the global data integration market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends determined the overall attractiveness of the market at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:
- Analyze the current and forecast market size of the data integration market in terms of value (USD). Also, analyze the current and forecast market size of different segments and sub-segments
- Segments in the study include areas of the deployment mode, organization size, and end-users
- Define and analysis of the regulatory framework for the data integration
- Analyze the value chain involved with the presence of various intermediaries, along with analyzing customer and competitor behaviors of the industry
- Analyze the current and forecast market size of the data integration market for the major region.
- Major countries of regions studied in the report include Asia Pacific, Europe, North America, and the Rest of the World
- Company profiles of the data integration market and the growth strategies adopted by the market players to sustain in the fast-growing market
- Deep dive regional level analysis of the industry
Related Reports
Customers who bought this item also bought
Emotion Detection and Recognition Market: Current Analysis and Forecast (2021-2027)
Emphasis on Technology (Feature Extraction & 3D Modeling, Biosensors, Natural Learning Processing (NLP), and Others); Software Tools (Facial Expression & Emotion Recognition, Gesture & Posture Recognition, Voice Recognition); Application Area (Marketing & Advertising, Law Enforcement, Surveillance & Monitoring, Entertainment & Consumer Electronics, Others); Region/Country.
November 15, 2022
Generative AI Cybersecurity Market: Current Analysis and Forecast (2024-2032)
Emphasis on Deployment (On-Premise, Cloud-Based, Hybrid); Technology (Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), Others); Application (Network Security, Endpoint Security, Cloud Security, Application Security, Others); End-User (Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail, IT & Telecom, Government and Defense, Energy and Utilities, and Others); and Region/Country
November 4, 2024
