세계의 석유 및 가스 분야 인공지능 시장 : 부문별 예측(2025-2030년)

The Artificial Intelligence in Oil & Gas Market was valued at USD 2.93 billion in 2023, expected to reach USD 3.35 billion in 2024, and is projected to grow at a CAGR of 14.28%, to USD 7.47 billion by 2030.

The scope of artificial intelligence (AI) in the oil and gas industry encompasses automation, predictive analytics, and data-driven decision-making to enhance operational efficiencies and reduce costs. AI's necessity in this sector stems from the need to increase efficiency in exploration, drilling, and production while mitigating safety and environmental risks. Key applications include real-time monitoring of equipment, predictive maintenance, optimizing drilling processes, and enhancing the accuracy of reservoir characterization. The end-use scope mainly involves upstream, midstream, and downstream activities, whereby AI solutions streamline operations and increase productivity. Growth factors influencing the adoption of AI in this industry include the need for operational efficiency, increasing demand for energy, and the complexity of existing data streams that necessitate robust analysis tools. The latest opportunities stem from integrating AI with IoT for real-time data processing, enhancing the accuracy of predictions, and optimizing resource deployment. Recommendations for capitalizing on these opportunities include partnerships with tech firms specializing in AI, investing in AI training programs for workforce skill enhancements, and continuous monitoring of AI integration outcomes to refine applications. Nonetheless, market limitations such as high implementation costs, resistance to technological adoption, and concerns over data privacy hinder growth. Additionally, the industry faces challenges related to the lack of standardization in AI technologies and data integration issues across legacy systems. Innovation and research should focus on developing cost-effective AI solutions, improving algorithm accuracy, and fostering more robust cybersecurity measures. The nature of this market is rapidly evolving, driven by technological advances and fluctuating energy demands, which necessitates continual adaptation to competitive dynamics. Embracing AI integration can significantly enhance competitive advantage if businesses address limitations and leverage emerging technologies to align with industry needs.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Oil & Gas Market

The Artificial Intelligence in Oil & Gas Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising need to decode complex data used for oil & gas explorations and production
  • Growing demand to monitor the safety and security standards of the work site
  • Demand for AI in upstream operations
• Market Restraints
  • High cost of investment in installation
• Market Opportunities
  • Application of AI to test potential new developments and to access the environmental impacts of new projects
  • Increasing research and development to explore cognitive computing and machine learning in oil & gas sector
• Market Challenges
  • Limited skilled professionals to manage AI systems

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Oil & Gas Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Oil & Gas Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Oil & Gas Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Oil & Gas Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Oil & Gas Market

A detailed market share analysis in the Artificial Intelligence in Oil & Gas Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Oil & Gas Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Oil & Gas Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Oil & Gas Market

A strategic analysis of the Artificial Intelligence in Oil & Gas Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Oil & Gas Market, highlighting leading vendors and their innovative profiles. These include C3.ai, Inc., China Petrochemical Corporation, Cisco Systems, Inc., Flutura, FuGenX Technologies Pvt. Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, Saudi Arabian Oil Company, Seven Lakes Enterprises, Inc., Shell plc, SparkCognition, Inc., and TotalEnergies SE.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Oil & Gas Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Hardware, Services, and Software.
• Based on Function, market is studied across Field Services, Material Movement, Predictive Maintenance & Machine Inspection, Production Planning, Quality Control, and Reclamation.
• Based on Application, market is studied across Downstream, Midstream, and Upstream.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising need to decode complex data used for oil & gas explorations and production
    • 5.1.1.2. Growing demand to monitor the safety and security standards of the work site
    • 5.1.1.3. Demand for AI in upstream operations
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of investment in installation
  • 5.1.3. Opportunities
    • 5.1.3.1. Application of AI to test potential new developments and to access the environmental impacts of new projects
    • 5.1.3.2. Increasing research and development to explore cognitive computing and machine learning in oil & gas sector
  • 5.1.4. Challenges
    • 5.1.4.1. Limited skilled professionals to manage AI systems
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Oil & Gas Market, by Component

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. Artificial Intelligence in Oil & Gas Market, by Function

• 7.1. Introduction
• 7.2. Field Services
• 7.3. Material Movement
• 7.4. Predictive Maintenance & Machine Inspection
• 7.5. Production Planning
• 7.6. Quality Control
• 7.7. Reclamation

8. Artificial Intelligence in Oil & Gas Market, by Application

• 8.1. Introduction
• 8.2. Downstream
• 8.3. Midstream
• 8.4. Upstream

9. Americas Artificial Intelligence in Oil & Gas Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Artificial Intelligence in Oil & Gas Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Oil & Gas Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. C3.ai, Inc.
• 2. China Petrochemical Corporation
• 3. Cisco Systems, Inc.
• 4. Flutura
• 5. FuGenX Technologies Pvt. Ltd.
• 6. Infosys Limited
• 7. Intel Corporation
• 8. International Business Machines Corporation
• 9. Microsoft Corporation
• 10. Oracle Corporation
• 11. Saudi Arabian Oil Company
• 12. Seven Lakes Enterprises, Inc.
• 13. Shell plc
• 14. SparkCognition, Inc.
• 15. TotalEnergies SE