Data integration is the process of merging data from numerous sources to provide an organized and logical view of it to the end-user. Markets for data federation (EII), replication tools, and other related sections are offering tools in order to optimize a particular pattern of data integration. The widespread use of computers and smartphones across various industry verticals is fuelling the expansion of data, providing traction to the data integration market. The growing volume of data coupled with the heterogeneity involved are expected to be crucial drivers of the data integration market over the forecast period. Business enterprises are adopting advanced technologies in order to derive valuable business intuitions. Data integration involves various format and styles based on metadata, design tooling, and runtime architecture.
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An unprecedented rise in the adoption of cloud computing technologies is likely be a push factor for the data integration market over the forecast period. An opportunity lies for the market in the development of the ability to identify the type of data involved such as financial, product-related, marketing, and support systems. The growth of cloud-enabled technologies across various end-user industries is likely to create further opportunities for the data integration market. Data virtualization is one of the emerging trends that allow to access and visualize data without the help of any hardware storage systems. Software defined storage systems help to store data in an efficient way through developed cloud infrastructure. This in turn is likely to facilitate the growth of data integration market over the forecast period.
The market is segregated by deployment model into the on-demand and on-premises categories. Owing to its ease of distribution, scalability, and cost efficiency, the on-demand segment is expected to register a rapid growth rate over the forecast period. Based on business usage, the data management market is segmented into the following divisions: sales, operations, marketing, human resources, and finance, Human resources are estimated to record a rapid growth rate owing to the acceptance of improved HR analytics such as workforce capital analytics and talent analytics for data integration which is vital for effective data analysis.
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Human resource-generated data includes talent acquisition data, workforce development data, compensation data, performance data, and portal data, all of which drive the data integration market. In terms of organizational size, the market is divided into the following segments: large enterprises and small & medium enterprises. On the basis of end-user, the data integration market is split into the following groups: IT & telecommunication, banking, financial services & insurance (BFSI), energy, manufacturing, health care, media & entertainment, and others. Banking, financial services & insurance dominated the market in 2016 and is predicted to remain dominant over the forecast period, propelled by the extensive volume of data generated in the financial and banking sectors.