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.
According to this study, over the next five years the Predictive Analytics Software market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Predictive Analytics Software business, shared in Chapter 3.
This report presents a comprehensive overview, market shares and growth opportunities of Predictive Analytics Software market by product type, application, key companies and key regions.
This study considers the Predictive Analytics Software value generated from the sales of the following segments:
Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
Cloud Based
On-Premise
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Large Enterprises
SMEs
This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
IBM
Microsoft
Sisense
Oracle
Minitab
Wolfram
SAS
Anaconda
TIBCO
RapidMiner
KNIME
DataRobot
Dataiku
FICO
GoodData
Radius
Buxton
SAP
Alteryx
Nice
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
To study and analyze the global Predictive Analytics Software market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Predictive Analytics Software market by identifying its various subsegments.
Focuses on the key global Predictive Analytics Software players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Predictive Analytics Software with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Predictive Analytics Software submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Summary:
Get latest Market Research Reports on Predictive Analytics Software . Industry analysis & Market Report on Predictive Analytics Software is a syndicated market report, published as Global Predictive Analytics Software Market Growth (Status and Outlook) 2019-2024. It is complete Research Study and Industry Analysis of Predictive Analytics Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.