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 Growing Investment on Big Data across the Energy and Power Sector
4.3.2 Increasing Need to Handle the Significant Volume of Data Generated from IoT
4.3.3 Rising Trend of Automation to Reduce Production Cost and Streamline Wastage
4.4 Market Restraints
4.4.1 High Initial Investment Costs in AI Implementation
4.4.2 Lack of Skilled Professional across the Oil and Gas Industry
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 Quality Control
5.1.2 Production Planning
5.1.3 Predictive Maintenance
5.1.4 Thermal Detection (Drone Analytics)
5.1.5 Other Applications
5.2 By Operation
5.2.1 Upstream
5.2.2 Midstream
5.2.3 Downstream
5.3 By Service Type
5.3.1 Professional
5.3.2 Managed
5.4 Geography
5.4.1 North America
5.4.2 Europe
5.4.3 Asia-Pacific
5.4.4 Latin America
5.4.5 Middle East & Africa


6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Google LLC
6.1.2 IBM Corporation
6.1.3 FuGenX Technologies?Pvt. Ltd.
6.1.4 Hortonworks Inc.
6.1.5 Microsoft Corporation
6.1.6 Intel Corporation
6.1.7 Royal Dutch Shell PLC
6.1.8 PJSC?Gazprom Neft
6.1.9 Huawei Technologies Co., Ltd.
6.1.10 NVIDIA?Corp.
6.1.11 Infosys?Ltd.


7 INVESTMENT ANALYSIS


8 MARKET OPPORTUNITIES AND FUTURE TRENDS