석유 및 가스용 인공지능(AI) 시장 : 예측(2025-2030년)

Artificial intelligence (AI) in the oil and gas market is estimated to reach US$16.951 billion by 2030 from US$7.246 billion in 2025, growing at a CAGR of 18.53%.

In the oil and gas industry, AI is set to play a key role in multiple applications. The AI-based tools and platforms can understand and analyze the oil reserve patterns and help in accurately exploring new oil reserves and reducing the cost of operations. These tools also help in monitoring the overall operations of drilling and reduce the occurrence of accidents and fatalities.

A major factor propelling the utilization of AI in the oil and gas industry is forecasted to be the increasing demand for oil and gas worldwide. With this increasing demand, production will witness an increase. Various companies and organizations are applying AI-based tools to reduce operation time and cost and also to identify new exploration locations to boost production.

The global production of oil and gas increased significantly over the years. The Enerdata, in its report, stated that in 2022, the total crude oil produced by the USA was recorded at 756 Mt, whereas Canada and China produced about 285 Mt and 205 Mt, respectively. In 2023, the production of crude oil by the USA increased to 820 Mt, whereas Canada produced 289 Mt, and China produced 209 Mt of crude oil.

Artificial intelligence (AI) in the oil and gas market is estimated to grow at a steady rate during the forecast period. The increasing global oil and gas production is pushing the market forward. Furthermore, the rising integration of AI across multiple industries will also boost the market of AI in oil and gas during the forecasted timeline.

Artificial intelligence (AI) in oil and gas market growth drivers

• Higher rate of accidents in oil and gas production

In the oil and gas industry, AI will play a key application, like detecting defects, maintaining services, understanding the drilling pattern, and exploring oil & gas reserves. The major application of AI in the industry is the detection of defects in systems and machinery, which can help reduce accidents and fatalities during the production of oil and gas.

The number of accidents and fatalities during the production of oil and gas worldwide are increasing, and this figure can be reduced by integrating AI into the operations. The International Association of Oil & Gas Producers or IOGP , in its report, stated that in 2023, the total cost of the work day (LWDC), which involves incidents of injuries, was recorded at 563 incidents related to contractor, and 187 incidents related to the company. The report further stated that by activity, maintenance caused about 20.6% of the total loss of work days in 2023, followed by 17.6% cases by drilling and 16.4% caused by production.

Artificial intelligence (AI) in the oil and gas market geographical outlook:

• The North American region is expected to witness significant growth in artificial intelligence (AI) in the oil and gas market.

The North American region is expected to propel the growth of the global AI in the oil and gas market during the forecasted timeline. The USA held the dominant share in artificial intelligence, owing to the concentration of major industries, favorable government policies, and increasing construction expenditure. OPEC America's crude reserves were 52.23 billion barrels in 2021, which increased to 55.71 billion barrels in 2022 and reached 58.27 billion barrels in 2023.

The United States produced more crude oil and condensate than any nation, according to the International Energy Statistics, for the past six years. U.S. crude oil and lease condensate production increased 6% in 2022. Crude oil production in the United States, including condensate, averaged 12.9 million barrels per day (b/d) in 2023, followed by Russia with 10.1 million barrels per day (b/d), and Saudi Arabia with 9.7 million barrels per day (b/d).

This increased production of crude oil led the U.S. Department of Energy (DOE) to take a series of actions delivering on the development and use of Artificial Intelligence. Further, in June 2024, TGS announced a strategic partnership with PetroAI. This collaboration aimed to provide E&P companies with an integrated solution that allows users to access TGS's licensed data via the PetroAI platform. PetroAI would utilize TGS' extensive subsurface, production, and well data to create advanced AI models capable of accurately predicting performance and identifying design sensitivities.

In January 2024, SLB announced an investment and technology partnership agreement with Geminus AI. This gives SLB exclusive access to deploying the first physics-informed AI model builder for Oil and Gas operations. The Geminus model builder fuses physics-based approaches with process data to produce accurate AI models that can be deployed.

Moreover, the United States has become a major hub for global artificial intelligence research, development, and deployment. The number of foundation models in 2023 was 109 for the United States, way higher than the second most prominent country, China, with 20 foundation models. Foundation models represent frontier AI research.

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Report Coverage:

• Historical data & forecasts from 2022 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Artificial Intelligence (AI) In the Oil and Gas Market is analyzed into the following segments:

By Operation

• Upstream
• Midstream
• Downstream

By Application

• Surface Analysis
• Defect Detection
• Drilling and Completions
• Gathering and Transportation
• Processing and Refining Maintenance
• Others

By Geography

• North America
• USA
• Canada
• Mexico
• South America
• Brazil
• Argentina
• Others
• Europe
• United Kingdom
• Germany
• France
• Spain
• Others
• Middle East and Africa
• Saudi Arabia
• UAE
• South Africa
• Others
• Asia Pacific Region
• China
• Japan
• India
• Indonesia
• Taiwan
• Others

TABLE OF CONTENTS

1. INTRODUCTION

• 1.1. Market Overview
• 1.2. Market Definition
• 1.3. Scope of the Study
• 1.4. Market Segmentation
• 1.5. Currency
• 1.6. Assumptions
• 1.7. Base and Forecast Years Timeline
• 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

• 2.1. Research Design
• 2.2. Research Process

3. EXECUTIVE SUMMARY

• 3.1. Key Findings

4. MARKET DYNAMICS

• 4.1. Market Drivers
• 4.2. Market Restraints
• 4.3. Porter's Five Forces Analysis
  • 4.3.1. Bargaining Power of Suppliers
  • 4.3.2. Bargaining Power of Buyers
  • 4.3.3. The Threat of New Entrants
  • 4.3.4. Threat of Substitutes
  • 4.3.5. Competitive Rivalry in the Industry
• 4.4. Industry Value Chain Analysis
• 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY OPERATION

• 5.1. Introduction
• 5.2. Upstream
• 5.3. Midstream
• 5.4. Downstream

6. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY APPLICATION

• 6.1. Introduction
• 6.2. Surface Analysis
• 6.3. Defect Detection
• 6.4. Drilling and Completions
• 6.5. Gathering and Transportation
• 6.6. Processing and Refining Maintenance
• 6.7. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY GEOGRAPHY

• 7.1. Introduction
• 7.2. North America
  • 7.2.1. By Operation
  • 7.2.2. By Application
  • 7.2.3. By Country
    • 7.2.3.1. United States
    • 7.2.3.2. Canada
    • 7.2.3.3. Mexico
• 7.3. South America
  • 7.3.1. By Operation
  • 7.3.2. By Application
  • 7.3.3. By Country
    • 7.3.3.1. Brazil
    • 7.3.3.2. Argentina
    • 7.3.3.3. Others
• 7.4. Europe
  • 7.4.1. By Operation
  • 7.4.2. By Application
  • 7.4.3. By Country
    • 7.4.3.1. United Kingdom
    • 7.4.3.2. Germany
    • 7.4.3.3. France
    • 7.4.3.4. Spain
    • 7.4.3.5. Others
• 7.5. Middle East and Africa
  • 7.5.1. By Operation
  • 7.5.2. By Application
  • 7.5.3. By Country
    • 7.5.3.1. Saudi Arabia
    • 7.5.3.2. UAE
    • 7.5.3.3. South Africa
    • 7.5.3.4. Others
• 7.6. Asia Pacific
  • 7.6.1. By Operation
  • 7.6.2. By Application
  • 7.6.3. By Country
    • 7.6.3.1. China
    • 7.6.3.2. Japan
    • 7.6.3.3. India
    • 7.6.3.4. Indonesia
    • 7.6.3.5. Taiwan
    • 7.6.3.6. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 8.1. Major Players and Strategy Analysis
• 8.2. Market Share Analysis
• 8.3. Mergers, Acquisitions, Agreements, and Collaborations
• 8.4. Competitive Dashboard

9. COMPANY PROFILES

• 9.1. Microsoft Corporation
• 9.2. IBM Corporation
• 9.3. C3.ai, Inc
• 9.4. DataRobot, Inc
• 9.5. Aspen Technology Inc
• 9.6. FuGenX Technologies
• 9.7. Wipro
• 9.8. NVIDIA Corporation
• 9.9. Advanced Micro Devices, Inc.
• 9.10. Huawei Technologies Co., Ltd.
• 9.11. Signity Software Solutions
• 9.12. Chetu Inc