Predictive Analytics are used to analyze current data and historical facts in order to better understand customers, products, and partners. It is also used to identify potential risks and opportunities. Predictive analytics platforms tend to be very complex products and require advanced skill sets in order to use them effectively.

Scope of the Report:
The global Predictive Analytics Software market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Predictive Analytics Software.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Predictive Analytics Software market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Predictive Analytics Software market by product type and applications/end industries.

Market Segment by Companies, this report covers
IBM
Microsoft
Sisense
Oracle
Minitab
Wolfram
SAS
Anaconda
TIBCO
RapidMiner
KNIME
DataRobot
Dataiku
FICO
GoodData
Radius
Buxton
SAP
Alteryx
Nice

Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers
Cloud Based
On-Premise

Market Segment by Applications, can be divided into
Large Enterprises
SMEs