Global Self-Service Business Intelligence Market Size, Status and Forecast 2022

SKU ID : QYR-19674921 | Publishing Date : 09-Dec-2021 | No. of pages : 109

Self-service business intelligence (SSBI) is an approach to data analytics that enables business users to access and work with corporate data even though they do not have a background in statistical analysis, business intelligence (BI) or data mining.
The North American region, followed by Europe, is expected to continue being the largest revenue generating region for self-service BI vendors for the next five years. This is mainly because in the developed economies of the U.S. and Canada, there is a high focus on innovations obtained from research and development and technology. The APAC region is expected to be the fastest growing region in the self-service BI market because of the increasing adoption of Internet of Things (IoT) and smart technologies and various government initiatives such as smart cities across APAC countries including China and India.

Market Analysis and Insights: Global Self-Service Business Intelligence Market
The global Self-Service Business Intelligence market size is projected to reach US$ 9289.9 million by 2027, from US$ 3227.2 million in 2020, at a CAGR of 15.8% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Self-Service Business Intelligence market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Self-Service Business Intelligence market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Self-Service Business Intelligence market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Self-Service Business Intelligence market.

Global Self-Service Business Intelligence Scope and Market Size
Self-Service Business Intelligence market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Self-Service Business Intelligence market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Software
Service

Segment by Application
BFSI
Telecommunication and IT
Retail and E-commerce
Healthcare and Life Sciences
Manufacturing
Government
Energy and Utilities
Media and Entertainment
Transportation and Logistics

By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Microsoft
IBM
Oracle
SAP
SAS Institute
Tableau Software
Microstrategy
Qlik Technologies
Tibco Software
ZOHO

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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