The article cited AMA's Global Predictive Analytics Market Study explored substantial growth with CAGR of 20.12%. According to the study, Escalating Demand for IoT Enabled Predictive Analytics Tools is one of the primary growth factors for the market. Robust Demand for Advanced Forecasting and Analytics to Predict Upcoming Outcomes is also expected to contribute significantly to the Predictive Analytics market. Overall, Retail and eCommerce applications of Predictive Analytics, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The presence of players such as Alteryx Inc. (United States), AgilOne (United States), Angoss Software Corporation (Canada), Domino Data Lab (United States), Dataiku (United States), Exago, Inc. (United States), Fair Isaac Corporation (FICO) (United States), GoodData Corporation (United States), International Business Machines (IBM) Corporation (United States), Information Builders (United States), Kognitio Ltd. (United Kingdom), KNIME.com AG (Switzerland), MicroStrategy, Inc. (United States) and Microsoft Corporation (United States) pushing strong cash flow in Market which is also a key in driving revenue growth.

AMA’s Analyst on the Global Predictive Analytics market identified that the demand is rising in many different parts of the world as "Robust Research and Development Investments in Developing Technologically Advanced Predictive Analytics ". One of the challenges that industry facing is "Data Privacy and Validations Concerns across the Global Market and Significant Post Purchase Maintenance and Repairing Complexities in Predictive Analytics"

The report provides an in-depth analysis and forecast about the industry covering the following key features:

• Detailed Overview of Predictive Analytics market will help deliver clients and businesses making strategies.
• Influencing factors that thriving demand and latest trend running in the market
• What is the market concentration? Is it fragmented or highly concentrated?
• What trends, challenges and barriers will impact the development and sizing of Predictive Analytics market
• SWOT Analysis of profiled players and Porter's five forces & PEST Analysis for deep insights.
• What growth momentum or downgrade market may carry during the forecast period?
• Which region may tap highest market share in coming era?
• What focused approach and constraints are holding the Predictive Analytics market tight?
• Which application/end-user category or Product Type [Financial Analytics, Risk Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics and Network Analytics] may seek incremental growth prospects?
• What would be the market share of key countries like Germany, USA, France, China etc.?

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Predictive Analytics market and other related sub-markets covered in the study.

o Key & emerging players in the Predictive Analytics market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Predictive Analytics market size is calculated using market estimation process, the Predictive Analytics market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Predictive Analytics market size has been validated using both top-down and bottom-up approaches.