Table of Content


1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study


2 RESEARCH METHODOLOGY


3 EXECUTIVE SUMMARY


4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Increasing Adoption of IoT and Automation
4.3.2 Increasing Adoption of Cloud-based Services
4.3.3 Rising Demand of Digitalization across multiple End-User Segments
4.4 Market Restraints
4.4.1 Privacy & Data Security Concerns
4.4.2 Need for Skilled Professionals
4.5 Industry Attractiveness - Porter’s Five Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry


5 MARKET SEGMENTATION
5.1 By Application
5.1.1 Marketing & Advertisement
5.1.2 Predictive Maintenance
5.1.3 Automated Network Management
5.1.4 Fraud Detection & Risk Analytics
5.1.5 Other Applications
5.2 By Organization Size
5.2.1 Small and Medium Enterprises
5.2.2 Large Enterprises
5.3 By End User
5.3.1 IT & Telecom
5.3.2 Automotive
5.3.3 Healthcare
5.3.4 Aerospace & Defense
5.3.5 Retail
5.3.6 Government
5.3.7 BFSI
5.3.8 Other End-Users
5.4 Geography
5.4.1 North America
5.4.2 Europe
5.4.3 Asia-Pacific
5.4.4 Rest of the World


6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Microsoft Corporation
6.1.2 IBM Corporation
6.1.3 Google LLC
6.1.4 SAS Institute Inc.
6.1.5 Fair Isaac Corporation (FICO)
6.1.6 Hewlett Packard Enterprise Company
6.1.7 Yottamine Analytics LLC
6.1.8 Amazon Web Services Inc.
6.1.9 BigML Inc.
6.1.10 Iflowsoft Solutions Inc.
6.1.11 PurePredictive Inc.
6.1.12 Sift Science Inc.
6.1.13 H2O.ai Inc.


7 INVESTMENT ANALYSIS


8 MARKET OPPORTUNITIES AND FUTURE TRENDS