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Global predictive analytics market report for 2016 published by leading research firm

Massive data dependence and improved technological implementations are expected to drive the predictive analytics market over the forecast period. The importance for data and its analysis for estimating future scenario may offer sustainable competitive edge to end-users.

The key drivers for the predictive analytics market growth are enhanced product usability, adoption of new technologies, massive data deluge, and newer levers of differentiator. In addition, database management, forecasting, data warehouses, data mining, CRM analytics, smart, logistics, decision-making process, data visualization in dashboards, and increasing demand of business having analytic capabilities are expected to drive predictive analytics market growth over the forecast period.

The predictive analytics technology is being utilized by several businesses as a useful tool for reducing risks associated with fraudulent claims and for surging marketing efficiency. It is mainly used by organizations to increase their bottom line and competitive advantage.

The presence of interactive and easy-to-use software, availability of faster & cheaper computers, and rising adoption of innovative technologies are contributing to the growth of the predictive analytics market. In addition, increasing volumes, data types, and the extraction of valuable insights by analyzing current data to help make predictions of future opportunities and trends is expected to fuel the industry growth.

Increasing adoption of cloud-based technologies in various sectors such as BFSI and IT and telecom due to the presence of high volume data is providing high growth opportunities for the predictive analytics market. In addition, in the BFSI sector, predictive analytics provides insight to approach each client by analyzing buying patterns, consumer behavior, and social media interaction and offers insights into channels to help connect with those customers.

Wide applications of predictive analytics market in SMEs and SMBs is offering outstanding growth opportunities. Rise in fraudulent activities along with the need of improvising operational efficiency is expected to escalate the demand for predictive analytics market.

Factors such as high time consumption, the requirement of continuous trail, and testing of the complex algorithm might hinder the industry growth.

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The main objective of the report is to define, describe, and forecast the global predictive analytics market on the basis of types (solutions and services), deployment models, organization sizes, industry verticals, and regions. The report provides detailed information regarding the major factors influencing the growth of the predictive analytics market (drivers, restraints, opportunities, and industry-specific challenges).

The report aims to strategically analyze micromarkets with respect to the individual growth trends, prospects, and contributions to the total market.

The dynamic business needs in modern enterprises make it essential to gain timely information about customers and products. This need has led to the rapid adoption of business analytics software to analyze trends and leverage opportunities.

Enterprise applications involving predictive modeling covers areas such as supply chain management, enterprise content management, and inventory management.

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This report studies Predictive Analytics in Global market, especially in North America, Europe, China, Japan, Southeast Asia and India, with production, revenue, consumption, import and export in these regions, from 2011 to 2015, and forecast to 2021.

This report focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering




SAS Institute

Accretive Technologies?

Angoss Software?


Information Builders

Megaputer Intelligence




Table of Content:-          

Global Predictive Analytics Market Professional Survey Report 2016

1 Industry Overview of Predictive Analytics

1.1 Definition and Specifications of Predictive Analytics

1.1.1 Definition of Predictive Analytics

1.1.2 Specifications of Predictive Analytics

1.2 Classification of Predictive Analytics

1.2.1 Predictive Models

1.2.2 Descriptive Models

1.2.3 Decision Models

1.3 Applications of Predictive Analytics

1.3.1 Application 1

1.3.2 Application 2

1.3.3 Application 3

1.4 Market Segment by Regions

1.4.1 North America

1.4.2 China

1.4.3 Europe

1.4.4 Southeast Asia

1.4.5 Japan

1.4.6 India

2 Manufacturing Cost Structure Analysis of Predictive Analytics

2.1 Raw Material and Suppliers

2.2 Manufacturing Cost Structure Analysis of Predictive Analytics

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