Data Integration Market Size, Share & Trends Analysis Report By Component (Services, Tools), By Deployment (Cloud, On-premise), By Organization Size (Large, SMEs), By End-user, By Business Application, By Region, And Segment Forecasts, 2023 - 2030
Data Integration Market Size, Share & Trends Analysis Report By Component (Services, Tools), By Deployment (Cloud, On-premise), By Organization Size (Large, SMEs), By End-user, By Business Application, By Region, And Segment Forecasts, 2023 - 2030
Data Integration Market Growth & Trends
The global data integration market size is expected to reach USD 30.27 billion by 2030, according to a new report by Grand View Research, Inc. The industry is anticipated to grow at a lucrative CAGR of 12.3% from 2023 to 2030. Data integration solutions and tools are a collection of organizational and technical, and procedures created to combine data from many sources into understandable and valuable data sets. Data integration solutions are provided through tools like ETL (extract, transform, and load), data replication, and data virtualization. These tools enable the extraction of vast volumes of data from source systems and the loading of those data into a cloud source or an enterprise data warehouse.The end location must be adaptable enough to handle various data types at high volumes.
For instance, in February 2022, NAVEX Global, Inc., a compliance management software provider, launched the NAVEX Integration Cloud platform. The new data integration platform would automate risk management workflows and integrate a wide variety of business data in a single comprehensive view in the cloud.With a thorough understanding of automated risk management and streamlined procedures, NAVEX Integration Cloud fulfills the company's goal to offer the world's smartest integrated platform. As a result, enterprises are better able to foresee and mitigate risk. As we produce more data, data integration has become more crucial. Data integration aims to ensure that data is stored and preserved as planned. Moreover, the data set obtained from a data search is desired and anticipated.
Data integrity can be aided by maintaining a centralized view of all the data in a single location, such as a data warehouse. In fact, over time, data integration aids in enhancing the accuracy and reliability of data. The quality and integrity of the data can be improved when it is transferred to the central location by data transformation operations, which can also detect data quality problems. Further, data integration enables manufacturers to fully utilize the value of the data generated from their facilities by smoothly integrating information technology with operational technology. For instance, in May 2022, Google Cloud launched manufacturing connect and manufacturing data engine integration platforms for manufacturers. The integration platforms would enable manufacturers to process and standardize data in a single locationand provide their staff with simplified analytics and artificial intelligence (AI) solutions based on cloud infrastructure.
Without significant changes to current applications or data structures, well-implemented data integration can lower IT costs, free up resources, enhance data quality, and promote creativity. Although IT firms have always needed to integrate, the benefits may not have previously been as high as they are now due to data integration. Companies with advanced data integration skills have a substantial competitive advantage, including more significant value and insight development with a holistic viewpoint of facts that is easier to examine; operational efficiency was increased by eliminating the need to manually alter and integrate data sources. Integrating data can assist a company in using information that would otherwise require development. By doing this, companies can boost productivity by enhancing departmental communication, delivering better customer service, streamlining processes, and improving decision-making.
Data Integration Market Report Highlights
The North America market dominated the global market in 2022. However, Asia Pacific is projected to register the highest CAGR from 2023 to 2030
Some regions in North America have the most competitive and constantly changing and rising technology improvements in the market. The rising number of data integration businesses globally is projected to support market expansion
The large enterprise segment dominated the market in 2022 and accounted for a revenue share of over 67%
Large enterprises are scaling their infrastructure to meet remote workers' needs and unique demands. Enterprises also maintain infrastructural support for their services and goods
The cloud segment is anticipated to register the highest CAGR over the forecast period. Organizations can store essential resources in the cloud and access various customizable data integration options
The marketing segment led the market in 2022 accounting for over a share of 32% of the global revenue. Data integration is essential for marketers to understand their customers better and target their marketing campaigns more effectively
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