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ASPEN TECHNOLOGY INC.
CISCO SYSTEMS INC.
EY
FUGENX TECHNOLOGIES
GENERAL ELECTRIC
HONEYWELL INTERNATIONAL INC.
IBM CORP.
INTEL CORP.
MICROSOFT CORP.
ORACLE
SCHNEIDER ELECTRIC
SPARKCOGNITION
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The global market for AI Technology in the Oil and Gas Sector is estimated to increase from $2.8 billion in 2023 to reach $5.1 billion by 2028, at a compound annual growth rate (CAGR) of 12.9% from 2023 through 2028.
The North American market for AI Technology in the Oil and Gas Sector is estimated to increase from $979.2 million in 2023 to reach $1.7 billion by 2028, at a CAGR of 12.3% from 2023 through 2028.
The Asia-Pacific market for AI Technology in the Oil and Gas Sector is estimated to increase from $836.6 million in 2023 to reach $1.6 billion by 2028, at a CAGR of 13.9% from 2023 through 2028.
Report Scope
The scope of this study encompasses the analysis of various components of AI technology in the global oil and gas sector, which include software, services, and hardware. It also examines different applications within the industry, such as upstream, midstream, downstream, and support functions. Additionally, the report discusses the technological, regulatory, and competitive aspects, as well as economic trends that impact the market. It further analyzes the market's key drivers, regional dynamics, and current industry trends. The report concludes by providing detailed profiles of the major vendors in the market. The base year for the study is 2022, and projections for the years 2023 through 2028 are included, along with forecasts of the compound annual growth rate (CAGR) for the forecast period.
The report provides an overview of AI in the oil and gas sector, focusing on its key components and driving factors. It explores the software, services, and hardware aspects of the market, analyzing the solutions provided by different companies. The applications of AI in the industry are also discussed, including upstream, midstream, downstream, and support functions. The report also includes a regional analysis, examining the current and future factors influencing AI deployment in North America, Europe, Asia-Pacific, and the Rest of the World (including Latin America, the Middle East, and Africa).
Report Includes
32 data tables and 32 additional tables
An overview of the global market for AI in the oil and gas sector
Analyses of the global market trends, with historical market revenue for 2022, estimates for 2023, forecasts for 2024 and projections of compound annual growth rates (CAGRs) through 2028
Estimate of the current market size and revenue forecast for the global market, and a corresponding analysis of market shares based on component, application and region
Facts and figures pertaining to the market dynamics, opportunities and challenges, upcoming technologies, future prospects and impacts of macroeconomic variables
Overview of the sustainability trends and ESG developments in the market, with an emphasis on consumer attitudes, ESG score analysis, a discussion of the future of ESG, and the ESG practices followed by leading companies
An analysis of the competitive landscape, including company market shares, recent M&A activity, and the outlook for venture funding
Company profiles of major players within the industry, including IBM Corp., General Electric, Accenture, Microsoft Corp., and Schneider Electric
Table of Contents
Chapter 1 Executive Summary
Market Outlook
Scope of Report
Market Summary
Chapter 2 Market Overview
Overview
Regulatory and Policy Framework Impacting AI Integration
Future Prospects
Value Chain Analysis
Platform Providers
Agents/Application Developers
Solution Providers
End User
Porter's Five Forces Analysis
Bargaining Power of Suppliers
Bargaining Power of Consumers
Threat of New Entrants
Threat of Substitutes
Competition in the Industry
Geopolitical and Other Developments
Chapter 3 Market Dynamics
Overview
Market Drivers
Advanced Imaging and Surveys
Improved Market Competitiveness
Enhanced Operational Efficiency
Reduced Operating Costs
Market Restraints
Data Quality and Availability
Skill Shortages and Workforce Transition
Market Opportunity
Customized AI Solutions for Industry Challenges
Chapter 4 Emerging Technologies and Developments
Overview
Current Market Trends
Digital Twins and Simulation
Cloud-based AI Solutions
Emerging Technologies
Edge AI
Explainable AI (XAI)
Quantum Computing
Digital Thread
Biometric Security Solutions
Patent Analysis
Geographical Patterns
Key Findings
Chapter 5 Market Segmentation Analysis
Segmentation Breakdown
Market Breakdown by Component
Overview
Software
Services
Hardware
Market Breakdown by Application
Overview
Upstream
Midstream
Downstream
Support Functions
Geographic Breakdown
Market Breakdown by Region
Overview
North America
Europe
Asia-Pacific
Rest of the World
Chapter 6 Competitive Intelligence
Market Share Analysis
Chapter 7 Environmental, Social, and Governance (ESG) Perspective
Overview
ESG Performance in the Market for AI Technology in the Oil and Gas Sector
Environmental Impact
Social Impact
Governance Impact
Current Status of ESG in the Market for AI Technology in the Oil and Gas Sector
Consumer Attitudes Towards ESG in the Market for AI Technology in the Oil and Gas Sector