How Sisense is dominating the Global Embedded Analytics Market

The global demand for the Embedded Analytics market was valued at USD 36,504 Million in 2020 is expected to reach USD 105,750 Million in 2028 growing at a CAGR of 16.3% between 2022 and 2030.

Digitalization in Asia Pacific region has led to an increase in the usage of technology for various business processes in the past few years. Increasing usage of online platforms by businesses along with analytical software and technologies to take accurate decisions to stay ahead of competitors. Increasing demand from numerous sectors has led to the rise in the demand for analytics solutions in this region.

With the adoption of the technologies such as artificial intelligence along with business intelligence tools to access structured or unstructured datasets to perform analysis and derive actionable business, based on which data scientists to take tactical business decisions.

Major regions considered under the report scope are listed as: North America(U.S., Canada), Europe(Germany, U.K, France, Italy, Spain, Rest of Europe), Asia Pacific(China, Japan, India, South Korea, Australia, Rest of Asia Pacific) and LAMEA(Latin America, Middle East and Africa)

This report segments the global Embedded Analytics market as follows:
Component Segment Analysis
Solution
Services

Analytics Tool Segment Analysis
Reporting
Self-Service Tools
Dashboard and Data Visualization
Benchmarking

Deployment Segment Analysis
On-Premise
Cloud

For full table of contents visit @ https://flairintelligence.com/product/global-embedded-analytics-market-2020/

 

Application Segment Analysis
Human Resource
Sales and Marketing
IT
Finance
Others

Industry Vertical Segment Analysis
BFSI
Retail
Telecom
Healthcare
Government
Manufacturing
Energy & Utilities
Others

Major Companies considered within the report scope are : Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE,SAS Institute, Sisense Inc.,Tibco Software. For information regarding the market share visit the report overview.

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This release was published on openPR.