AI In Oil and Gas Market by Type (Hardware, Software, and Hybrid), by Function (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, and Reclamation), and by Application (Upstream, Downstream, and Midstream)-Global Industry Analytics, COVID-19 Business Impact, and Trends, 2020–2029
- TBI878476
- July 24, 2020
- Global
- 132 pages
- SAC Insights
Abstract
The report covers a forecast and an analysis of the AI in oil and gas market on a global and regional level. The study provides historical information from 2016 and 2018 with a forecast from 2019 to 2025 based on revenue (USD Billion). The study covers the key drivers and restraints of the AI in oil and gas market. It also provides the impact of the market within the forecast period. Furthermore, the study also includes the opportunities accessible within the AI in oil and gas market on a global level.
In order to offer the users of this report, a comprehensive read of the AI in oil and gas market, we have enclosed a detailed value chain analysis. To know the competitive landscape within the market, an analysis of Porter’s Five Forces model for the AI in oil and gas market has additionally been enclosed within the study. The study includes a market attractiveness analysis, wherein all the segments are benchmarked supported their market size, growth rate, and general attractiveness.
The study also includes the market share of the key participant’s operating in the AI in oil and gas market across the globe. Additionally, the report covers the strategic development together with acquisitions & mergers, agreements, partnerships, collaborations and joint ventures, and regional growth of key players within the market on a regional basis.
The study provides a crucial view of the AI in oil and gas market by segmenting it based on product type, function, application, and region. All the segments have been analyzed based on present and the future trends and the market is estimated from 2019 to 2025. The regional classification includes Europe, North America, Latin America, Asia Pacific, and the Middle East and Africa.
Some key players in the global AI in oil and gas market are General Vision, Inbenta, FuGenX Technologies, Hortonworks, IBM, Google, Intel, Microsoft, Accenture, Sentient Technologies, Oracle, Numenta, Cisco, and Infosys.
This report segments the global AI in oil and gas market into:
Global AI in Oil and Gas Market: By Type Analysis
Hardware
Software
Hybrid
Global AI in Oil and Gas Market: By Function Analysis
Predictive Maintenance and Machinery Inspection
Material Movement
Production Planning
Field Services
Quality Control
Reclamation
Global AI in Oil and Gas Market: By Application Analysis
Upstream
Downstream
Midstream
Global AI in Oil and Gas Market: Regional Analysis
North America
The U.S.
Europe
UK
France
Germany
Asia Pacific
China
Japan
India
Latin America
Brazil
Middle East and Africa
Table of Contents
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Chapter 1. Preface
1.1. Report Description
1.1.1. Objective
1.1.2. Target Audience
1.1.3. Unique Selling Proposition (USP) & Offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Market research process
1.3.2. Market research methodology
1.3.3. Level 1: Primary Research
1.3.4. Level 2: Secondary Research
1.3.5. Le
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