Press release
With 13% CAGR, Data Integration Market Size Worth USD 21.53 Billion in 2028
Global Data Integration Market was valued at USD 9.15 billion in 2021 and is expected to reach USD 21.53 billion by the year 2028, at a CAGR of 13%.
Data integration is the process of collecting data from several sources into a single unified perspective. Integration starts with the ingestion process, which contains steps like cleansing, ETL mapping, and transformation. It enables analytics tools to develop effective, actionable business intelligence. Data is one of the most important assets of today's businesses. In recent years, several organizations are creating more data and this industry faces several issues related to data collection. Data integration is an important tool is help them in collecting and transforming data that helps for growth of the market.
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Market Dynamics:
Driver:
The growing use of hybrid data integration is the major factor that drives market of the data integration market. In recent year hybrid data integration has been used in several organizations owing to its ability to connect applications, data files, and business partners to connect applications, data files, and business partners. In addition to this, growing stringent regulations and compliance related to data integration, rising data integration tools and software demand, and also increasing demand for application-based integration are the factors that propel the growth of the data integration market. The compliance program of data integration compliance helps companies prevent data loss and is the driving factor that fuels the market.
Opportunities:
The growing need for cloud computing technology lately among several industries is the major factor that provides a lucrative opportunity for the data integration market. The various organization faces a number of issues with fast-rising data sources as their client base grows. Thus, the organization is more investing in big data technologies which contain data integration. Moreover, the growing demand from the financial industries owing to rising the financial transaction from the various departments. The integration of AI and ML in data integration solutions also provided a huge opportunity for the data integration market during the forecast year.
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Market Segmentation
By Component, the Services segment is dominating the Data Integration Market. This is because of the growing need to combine several heterogeneous data sources along with the rise of cloud computing, thereby creating demand for effective data integration tools and services.
By Deployment Model, on-premises is dominating in the deployment segment of the Data Integration Market. On premises, deployment is the most used method of opting for data integration service. On-premises solutions are the software that is installed and maintained by the customer or enterprise itself instead of relying on service-providing companies to operate on behalf of them.
By Enterprise Size, Large Enterprises dominate the segment in Data Integration Market. Large enterprises are in the need of sophisticated data integration solutions.
By Industry Vertical, BFSI is dominating the Data Integration Market and projected to be the fastest-growing segment by industry vertical. At present, financial firms face certain issues in manual processing systems related to costs and time management.
By Component
• Tools (Solutions)
• Services
By Deployment Model
• On-Premises
• On-Demand
By Enterprise Size
• Large Enterprises
• SMEs
By Industry
• BFSI
• Healthcare
• IT & Telecom
• Others
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Regional Analysis of Data Integration Market
North America is dominating the Data Integration Market. One of the primary driving drivers for the big data industry in the United States is the increase in data collecting from unstructured sources. The high-demand sectors, such as public utilities, are responsible for the market's growth. As more government agencies use mobile, social media, and weblogs to do business, these apps and websites are responsible for creating massive amounts of data daily. This information is used to provide business insights and projections. As a result, data integration technologies assist the US market in gaining a competitive advantage by gathering, translating, and analyzing raw data from a variety of sources into useful business information. The Canadian Big Data and Analytics market is predicted to develop at a CAGR of 9.4%, according to market analysis.
By Region
• North America (U.S., Canada, Mexico)
• Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
• Asia-Pacific (China, India, Japan, Southeast Asia, Rest of APAC)
• Middle East & Africa (GCC Countries, South Africa, Rest of MEA)
• South America (Brazil, Argentina, Rest of South America)
Players Covered in Data Integration market are :
• IBM(US)
• Microsoft (US)
• SAP(Germany)
• Oracle (US)
• SAS Institute (US)
• Talend (US)
• Informatica (US)
• Precisely (US)
• Software AG(Germany)
• Salesforce (US)
• Qlik (US)
• Tibco (US) and other major players.
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Table OF Content
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Component
3.2 By Deployment Model
3.3 By Enterprise Size
3.4 By Industry
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Data Integration Market by Component
5.1 Data Integration Market Overview Snapshot and Growth Engine
5.2 Data Integration Market Overview
5.3 Solutions
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2028F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Solutions: Grographic Segmentation
5.4 Services
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2028F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Services: Grographic Segmentation
Chapter 6: Data Integration Market by Deployment Model
Chapter 7: Data Integration Market by Enterprise Size
Chapter 8: Data Integration Market by Industry
Chapter 9: Company Profiles and Competitive Analysis
Chapter 10: Global Data Integration Market Analysis, Insights and Forecast, 2016-2028
To Be Continue…
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