Embedded Analytics Market is Expected to Grow on Account of Rising Demand to Integrate Analytics With Business Applications by 2022 | Million Insights

FELTON, California, December 6, 2018 /PRNewswire/ --

Global Embedded Analytics Market is expected to grow at a significant CAGR of 14.76% in the upcoming period as the scope and its applications are rising enormously across the globe. Embedded analytics is the process of integration of business intelligence (BI) tools and skills into business software, including financial systems, customer relationship management (CRM), marketing automation, and enterprise resource planning (ERP). It is mainly entrenched with transactional process systems and applications.

The factors that are playing a major role in the growth of embedded analytics market are growing demand to integrate analytics with business applications, growth in data-driven organizations, and increasing acceptance of self-service analytics. However, the lack of skilled personnel's and the management of data security and quality are the factors that may restrain overall market growth in the years to come. Embedded analytics market is segmented based on component, business function, deployment model, organization size, end-user and region.

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Services and software are the components that could be explored in embedded analytics in the forecast period. The services sector comprises professional services and managed services. The services sector accounted for the significant market share of embedded analytics and is estimated to lead the overall market in the years to come. Based on business function, human resources, IT, finance, marketing & sales, production, and others could classify embedded analytics in the forecast period.

On-demand and on-premises are the deployment model that could be explored in embedded analytics in the forecast period. On-demand (cloud-based) embedded analytics sector is estimated to grow at highest CAGR in the years to come. The reason behind the overall market growth could be its features like time-efficient and cost-efficient. Large enterprises and small & medium-sized enterprises (SMEs) are the organization size that could be explored in embedded analytics in the forecast period.