Global Self-service Analytics Market Analysis
Self-service analytics are a form of business intelligence ( BI ) which allows users to build their own report by using the data at hand without any formal training . Various ways of gathering data and its visualization for making informed business decisions easily can lead to its adoption by enterprises . The global
Self-service Analytics Market report contains an examination of the software and its scope for the period of 2016 to 2022 ( forecast period ). The COVID-19 pandemic and its impact on the market are explored in depth in the report .
The global self-service analytics market is expected to reach a market size of USD 10 billion by the end of forecast period with CAGR of 20 % over the forecast period .
The need for astute insights and the expanding competitive landscape among enterprises can drive the demand for self-service analytics . The utilization of business intelligence to gain the first mover advantage and launch a product-market fit early to customers can fuel the market demand exponentially . Rise of complex data structures , computing power , and lower prices of storage devices can propel the market to new territories . The push for developers to include analytics within software for user perusal and ability to create , manage , and share various visualizations can attract clients .
The COVID-19 pandemic has restricted the movement of people and forced them to rely on digital media . The rise in data traffic and use of advanced analytic software for tracking the data and compiling them into reports is likely to increase . Customer behavior and insight into customer engagement are expected to be pivotal in driving future marketing stratagems using this data .
Segmentation
The global self-service analytics market has been segmented on the basis of software tool , service , company size , deployment , and industry .
The software tool includes Tableau , SAS , Logi Analytics , Qlik and others . By service , it includes corporate IT professionals , business user , and consultants . By company size , it is segmented into large business and small and medium business .
By deployment , it is divided into on premises and on cloud . The on cloud deployment is likely to garner significant revenues for the market owing to benefits of combining data on the cloud , rise of as-a-service models , and easier management of analytic applications on the cloud .
By industries , it is segmented into IT & telecommunication , BFSI , healthcare , retail , and others . Regional Analysis