Artificial Intelligence in Oil & Gas Market by Component (Hardware, Services, Software), Function (Field Services, Material Movement, Predictive Maintenance & Machine Inspection), Application - Global Forecast 2024-2030

Artificial Intelligence in Oil & Gas Market by Component (Hardware, Services, Software), Function (Field Services, Material Movement, Predictive Maintenance & Machine Inspection), Application - Global Forecast 2024-2030


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

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Oil & Gas Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Oil & Gas Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

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:

Component

Hardware
  • Services
  • Software
  • Function

    Field Services
  • Material Movement
  • Predictive Maintenance & Machine Inspection
  • Production Planning
  • Quality Control
  • Reclamation
  • Application

    Downstream
  • Midstream
  • Upstream
  • Region

    Americas

    Argentina
  • Brazil
  • Canada
  • Mexico
  • United States

    California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific

    Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa

    Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom
    The report offers valuable insights on the following aspects:

    1. Market Penetration: It presents comprehensive information on the market provided by key players.
    2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
    3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
    4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
    5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
    The report addresses key questions such as:

    1. What is the market size and forecast of the Artificial Intelligence in Oil & Gas Market?
    2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Oil & Gas Market?
    3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Oil & Gas Market?
    4. What is the market share of the leading vendors in the Artificial Intelligence in Oil & Gas Market?
    5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Oil & Gas Market?


    Note: PDF & Excel + Online Access - 1 Year

  • 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. Limitations
    1.7. Assumptions
    1.8. 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
    4.1. Introduction
    4.2. Artificial Intelligence in Oil & Gas Market, by Region
    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. Market Trend Analysis
    5.4. Cumulative Impact of High Inflation
    5.5. Porter’s Five Forces Analysis
    5.5.1. Threat of New Entrants
    5.5.2. Threat of Substitutes
    5.5.3. Bargaining Power of Customers
    5.5.4. Bargaining Power of Suppliers
    5.5.5. Industry Rivalry
    5.6. Value Chain & Critical Path Analysis
    5.7. Regulatory Framework
    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. FPNV Positioning Matrix
    12.2. Market Share Analysis, By Key Player
    12.3. Competitive Scenario Analysis, By Key Player
    13. Competitive Portfolio
    13.1. Key Company Profiles
    13.1.1. C3.ai, Inc.
    13.1.2. China Petrochemical Corporation
    13.1.3. Cisco Systems, Inc.
    13.1.4. Flutura
    13.1.5. FuGenX Technologies Pvt. Ltd.
    13.1.6. Infosys Limited
    13.1.7. Intel Corporation
    13.1.8. International Business Machines Corporation
    13.1.9. Microsoft Corporation
    13.1.10. Oracle Corporation
    13.1.11. Saudi Arabian Oil Company
    13.1.12. Seven Lakes Enterprises, Inc.
    13.1.13. Shell plc
    13.1.14. SparkCognition, Inc.
    13.1.15. TotalEnergies SE
    13.2. Key Product Portfolio
    14. Appendix
    14.1. Discussion Guide
    14.2. License & Pricing
    FIGURE 1. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET RESEARCH PROCESS
    FIGURE 2. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, 2023 VS 2030
    FIGURE 3. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, 2018-2030 (USD MILLION)
    FIGURE 4. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY REGION, 2023 VS 2030 (%)
    FIGURE 5. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 6. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET DYNAMICS
    FIGURE 7. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
    FIGURE 8. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 9. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2023 VS 2030 (%)
    FIGURE 10. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 11. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
    FIGURE 12. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 14. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
    FIGURE 16. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 21. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET, FPNV POSITIONING MATRIX, 2023
    FIGURE 22. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SHARE, BY KEY PLAYER, 2023

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