Global Prescriptive and Predictive Analytics Market to 2026 - Increasing Demand for Cloud-Based Predictive Analytics -

DUBLIN--()--The "Prescriptive and Predictive Analytics - Global Market Outlook (2017-2026)" report has been added to's offering.

Global Prescriptive and Predictive Analytics market accounted for $5.72 billion in 2017 and is expected to reach $28.71 billion by 2026 growing at a CAGR of 19.6% during the forecast period

Some of the key factors influencing the market growth include growth in demand for global consumer goods, need for comprehensive market analytics and increasing demand for cloud-based predictive analytics. However, data privacy and security concerns are restricting the market growth.

Predictive analytics is the practice of extracting information from existing data. It helps users determine and understand the buying patterns of customers, and predict future trends for an organization. Prescriptive analytics is another branch of advanced analytics, dedicated to obtaining the best course of action for a presented situation.

Amongst end user industries, the retail segment has a significant growth during the forecast period due to increasing competition, a wide array of product offerings, multiple touch points for customers, and increasing customer complexities enable retailers to use analytics. Retail Analytics helps firms target and reach out to new customers, forecast store traffic, and prevent theft and fraud.

By Geography, Asia Pacific is expected to grow at the significant market share during the forecast period. Globally emerging countries such as India and China constitute the growth of the consumer goods market due to the high penetration of internet and rapid urbanization.

What the report offers:

  • Market share assessments for the regional and country level segments
  • Strategic recommendations for the new entrants
  • Market forecasts for a minimum of 9 years of all the mentioned segments, sub segments and the regional markets
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter's five forces analysis, SWOT analysis etc.
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Key Topics Covered:

1 Executive Summary

2 Preface

2.1 Abstract

2.2 Stake Holders

2.3 Research Scope

2.4 Research Methodology

2.5 Research Sources

3 Market Trend Analysis

3.1 Introduction

3.2 Drivers

3.3 Restraints

3.4 Opportunities

3.5 Threats

3.6 Application Analysis

3.7 End Use Industry Analysis

3.8 Emerging Markets

3.9 Futuristic Market Scenario

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers

4.2 Bargaining power of buyers

4.3 Threat of substitutes

4.4 Threat of new entrants

4.5 Competitive rivalry

5 Global Prescriptive and Predictive Analytics Market, By Software-System

5.1 Introduction

5.2 Customer Relationship Management

5.3 Decision Support Systems

5.4 Fraud Detection Systems

5.5 Data-Mining

5.6 Performance Management Systems

5.7 Risk Assessment and Management Systems

6 Global Prescriptive and Predictive Analytics Market, By Delivery

6.1 Introduction

6.2 Cloud Based

6.3 On-Site

7 Global Prescriptive and Predictive Analytics Market, By Type

7.1 Introduction

7.2 Behavioral Analytics

7.3 Marketing Analytics

7.4 Talent Analytics

7.5 Collection Analytics

7.6 Supply-Chain Analytics

7.7 Other Types

8 Global Prescriptive and Predictive Analytics Market, By Application

8.1 Introduction

8.2 Finance

8.3 Marketing & Sales

8.4 Manufacturing

8.5 Operations Management

8.5.1 Distribution Management

8.5.2 Inventory Planning

8.5.3 Other Operation Managements

8.6 Supply-Chain Management

8.7 Human Resource

9 Global Prescriptive and Predictive Analytics Market, By End Use Industry

9.1 Introduction

9.2 Healthcare & Pharmaceutical

9.3 Information Technology & Telecommunication

9.4 Banking, Financial Services and Insurance (BFSI)

9.5 Retail

9.6 Social Media & Entertainment

9.7 Government & Defense

9.8 Industrial

9.8.1 Automotive

9.8.2 Energy & Utilities

9.8.3 Mining

9.8.4 Chemistry

9.9 Other End Use Industries

9.9.1 Logistics

9.9.2 Gaming

9.9.3 Travel & Hospitality

9.9.4 Sports

9.9.5 Agriculture

9.9.6 Public Sector

10 Global Prescriptive and Predictive Analytics Market, By Geography

10.1 Introduction

10.2 North America

10.2.1 US

10.2.2 Canada

10.2.3 Mexico

10.3 Europe

10.3.1 Germany

10.3.2 UK

10.3.3 Italy

10.3.4 France

10.3.5 Spain

10.3.6 Rest of Europe

10.4 Asia Pacific

10.4.1 Japan

10.4.2 China

10.4.3 India

10.4.4 Australia

10.4.5 New Zealand

10.4.6 South Korea

10.4.7 Rest of Asia Pacific

10.5 South America

10.5.1 Argentina

10.5.2 Brazil

10.5.3 Chile

10.5.4 Rest of South America

10.6 Middle East & Africa

10.6.1 Saudi Arabia

10.6.2 UAE

10.6.3 Qatar

10.6.4 South Africa

10.6.5 Rest of Middle East & Africa

11 Key Developments

11.1 Agreements, Partnerships, Collaborations and Joint Ventures

11.2 Acquisitions & Mergers

11.3 New Product Launch

11.4 Expansions

11.5 Other Key Strategies

12 Company Profiling


12.2 IBM Corporation

12.3 Accenture PLC

12.4 Versium Inc.

12.5 Oracle Corporation

12.6 Angoss Software Corporation

12.7 TIBCO

12.8 SAP SE

12.9 Angoss Software

12.10 Microsoft Corporation

12.11 Alteryx

12.12 Infor Inc.

12.13 SAS Institute Inc.

12.14 Zemantis

12.15 Teradata Corporation

12.16 Tableau

12.17 PegaSystems

For more information about this report visit

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Data Analytics

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Data Analytics