Social Business Intelligence Market, By Deployment Type (On-premise and Cloud-based), By Size of Enterprise (Small Enterprise, Medium Enterprise and Large Enterprise), By Vertical (BFSI, Healthcare and Life Science, Consumer Goods and Retail, Travel and Tourism, IT and Telecommunication, Media and Entertainment, Government and Others) and by Region (North America, Europe, Asia Pacific, RoW) - Size, Share, Outlook, and Opportunity Analysis, 2020 - 2027

Published In : Jun 2020

Code : CMI3938

Pages :140

Formats :

Excel and PDF

Industry : Information and Communication Technology

Market Challenges And Opportunities

Market Dynamics- Restraints

Complexity associated with mapping data and data governance integrity while cloud adoption is expected to restrain growth of the global social business intelligence market during the forecast period

Enterprises carry out multiple operations and have a large volume of different data including that of the supply chain, ERP running financials, and other functions. These enterprises are required to determine and plan where data is, in order to share and integrate information. Mapping data is prone to error, time-consuming, and complex tasks in many integration processes. This acts as a roadblock for integration on the cloud. Thus, these factors are expected to restrain growth of the market during the forecast period.

Challenges associated with security is expected to hinder the global social business intelligence market growth over the forecast period

In social business intelligence systems, one of the prime challenges faced by many organizations while adopting cloud services is data security. As demand for cloud-based services is growing, most organizations are shifting their workloads on the cloud from on premise based, therefore security breaches have increased. Hence, security breaches and privacy concerns are among the prime challenges faced by vendors offering cloud-based solutions. Hence, these factors are expected to hinder the global social business intelligence market growth in the near future.

Market Opportunities

Positive attitude towards Hadoop can present significant business opportunity

Adopting new enterprise data operating systems over SQL is expected to make a positive impact on the global social business intelligence market. Furthermore, distributed analytic framework including MapReduce is expected to turn Hadoop into a general-purpose data operating system. It also offers sufficient performance at a low price and manages various types of workloads such as graph analytics and stream processing.

Increasing use of in-memory analytics can pose excellent growth opportunities

Rising adoption of in-memory database is expected to accelerate analytic processing. Several tasks such as hybrid transaction processing, which are used for faster analytics operations would reside within the same database.