Global Predictive Analytics Market is valued approximately USD 6.9 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 22.17 % over the forecast period 2020-2027. Predictive analytics extract information from current and historical datasets, using data mining, statistics, machine learning, modeling and artificial intelligence to predict potential future outcomes and trends. Predictive analytics helps organization to look forward, anticipating outcomes and provides decision options that are benefited from the predictions and its implications. The rising adoption of predictive analytics for forecasting future market trends, enterprises’ need for ensuring market competitiveness and growing adoption of big data and other related technologies are the few factors responsible for growth of the market over the forecast period. Big data is changing the face of marketing tremendously, as most of the population now own smartphones and more and more devices become smart, thus availability of information is high. Furthermore, the introduction of products and services along with other strategic alliance by market key players will create a lucrative demand for this market. For instance: on 25th September 2018, Oracle Corporation launched Predictive Analytics, Machine Learning Solution that provides tools to analyze data, a platform to train, deploy, and manage analytical results and models; and collaboration tools for extended enterprise teams including data engineers, DevOps, businesspeople, application developers, and AI engineers. However, changing regional data regulations leading to the time-consuming restructuring of predictive models is the major factor restraining the growth of global Predictive Analytics market during the forecast period.

The regional analysis of global Predictive Analytics market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world owing to the growing adoption of predictive analytics as well as high penetration of predictive analytics in multiple industry verticals, such as retail and ecommerce, BFSI, and government. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027.

Major market player included in this report are:
International Business Machines (IBM) Corporation
Oracle Corporation
Microsoft Corporation
SAS Institute, Inc.
Fair Isaac Corporation (FICO)
NTT Data Corporation
Tableau Software, Inc.
Tibco Software, Inc.
Rapidminer, Inc.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:

By Organization Size:
Small and Medium-Sized Enterprises
Large Enterprises

By Deployment Model:

By Industry Vertical:
Banking, Financial Services, and Insurance
Telecommunications and It
Retail and Ecommerce
Healthcare and Life Sciences
Government and Defense
Energy and Utilities
Transportation and Logistics

By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027

Target Audience of the Global Predictive Analytics Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers