Content Store Global Predictive Analytics Market 2016-2022
$1,500 – $4,000
Predictive analytics is the branch of the advanced analytics which is used to make predictions about future events. Predictive analytics uses many techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyze current data to make predictions about future.
The report covers forecast and analysis for the predictive analytics market on a global and regional level. The study provides historic data of 2016 along with a forecast from 2017 to 2022 based revenue (USD million). The study includes drivers and restraints for the predictive analytics market along with the impact they have on the demand over the forecast period. Additionally, the report includes study of opportunities available in the predictive analytics market on a global level.
Objective of the Research
To understand Predictive Analytics Market on a global scale by addressing the challenges faced by the industry with regards to adoption of predictive analytics tools globally. To estimate the present size of the Predictive Analytics and to forecast its future values and realize how drivers, constraints, opportunities and challenges would impact various business functions
Scope of the Research
• Current market size for 2016 and forecast till 2022
• Strategic analysis and market focus
• Competitive landscape analysis
• Latest market and technology trends
• Market developments covering M&A, Investment, funding, etc
• Competitor analysis and profiling
• Understand the market mechanism for the market through structured, systematic and detailed established norms
• Market estimation through time-series forecasting and other techniques. Use of R and other programming languages to validate the forecast data
• Using expert-opinion from CXO level executives of leading players to validate the estimates.
Rigorous quality check before final publication
• North America (US, Canada, Mexico and others)
• South America (Brazil, Argentina and others)
• Europe (UK, Germany, Spain, Russia and others)
• Asia-Pacific (Australia, India, China, Japan, and others)
• ROW (Middle-East and Africa)
In order to give the users of this report a comprehensive view on the predictive analytics market, we have included a detailed competitive scenario, and product portfolio of key vendors. To understand the competitive landscape in the market, an analysis of Porter’s five forces model for the predictive analytics market has also been included. The study encompasses a market attractiveness analysis, wherein application segments are benchmarked based on their market size, growth rate and general attractiveness.
The report provides a decisive view on the predictive analytics market by segmenting the market based on delivery mode, software solution, end-use, and applications. Delivery mode includes cloud based and predictive on-premises installation. On the basis of software solutions, predictive analytics market has been classified into customer intelligence, decision support systems, data mining and management, fraud and security intelligence, financial intelligence and others.
Some of the key end-use in predictive analytics market includes banking, financial services & insurance (BFSI), government, public administration & utilities, telecom and IT, healthcare, retail, manufacturing and others. All the application segments have been analyzed based on present and future trends and the market is estimated from 2014 to 2020. Key application markets include customer & channel, sales and marketing, finance & risk and others. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America and Middle East and Africa with its further bifurcation into major countries including U.S. Germany, France, UK, China, Japan, India and Brazil.
The report covers detailed competitive outlook including company profiles of the key participants operating in the global market. Key players profiled in the report include, SAP AG, Information Builders, Fair Isaac Corporation, Tableau Software Inc., IBM Corporation, Microsoft Corporation, SAS Institute Inc, TIBCO Software Inc, Teradata Corporation and Oracle Corporation
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