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The global Artificial Intelligence in Oil and Gas market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

The USA market for Global Artificial Intelligence in Oil and Gas market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.

The China market for Global Artificial Intelligence in Oil and Gas market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.

The Europe market for Global Artificial Intelligence in Oil and Gas market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.

This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Oil and Gas, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Oil and Gas.

This report contains market size and forecasts of Artificial Intelligence in Oil and Gas in global, including the following market information:

• Global Artificial Intelligence in Oil and Gas Market Revenue, 2018-2023, 2024-2030, ($ millions)
• Global top five companies in 2022 (%)

The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
by Function Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence in Oil and Gas include IBM (US), Intel (US), Microsoft (US), Accenture (Republic of Ireland), Google (US), NVIDIA Corporation(US), Oracle (US), Numenta (US) and Sentient technologies (US), etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Artificial Intelligence in Oil and Gas companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence in Oil and Gas Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Artificial Intelligence in Oil and Gas Market Segment Percentages, by Type, 2022 (%)

• by Function
• Predictive Maintenance and Machinery Inspection
• Material Movement
• Production Planning
• Field Services
• Quality Control
• Reclamation
• by Categories
• Hardware
• Software
• Hybrid

Global Artificial Intelligence in Oil and Gas Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Artificial Intelligence in Oil and Gas Market Segment Percentages, by Application, 2022 (%)

• Civil Oil and Gas Industry
• Oil and Gas Industry for Vehicles and Ships
• Industrial Chemical Oil and Gas Industry
• Oil and Gas for Power Generation

Global Artificial Intelligence in Oil and Gas Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Artificial Intelligence in Oil and Gas Market Segment Percentages, By Region and Country, 2022 (%)

• North America (United States, Canada, Mexico)
• Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
• Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
• The Middle East and Africa (Middle East, Africa)
• South and Central America (Brazil, Argentina, Rest of SCA)

Competitor Analysis

The report also provides analysis of leading market participants including:

• Key companies Artificial Intelligence in Oil and Gas revenues in global market, 2018-2023 (estimated), ($ millions)
• Key companies Artificial Intelligence in Oil and Gas revenues share in global market, 2022 (%)

Further, the report presents profiles of competitors in the market, key players include:

• IBM (US)
• Intel (US)
• Microsoft (US)
• Accenture (Republic of Ireland)
• Google (US)
• NVIDIA Corporation(US)
• Oracle (US)
• Numenta (US)
• Sentient technologies (US)
• Inbenta (US)
• General Vision (US)
• Cisco (US)
• FuGenX Technologies (US)
• Infosys (India)
• Hortonworks (US)
• Royal Dutch Shell (Netherlands)

Outline of Major Chapters:
Chapter 1: Introduces the definition of Artificial Intelligence in Oil and Gas, market overview.
Chapter 2: Global Artificial Intelligence in Oil and Gas market size in revenue.
Chapter 3: Detailed analysis of Artificial Intelligence in Oil and Gas company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Artificial Intelligence in Oil and Gas in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.