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Global AI in Oil & Gas Market Research Report 2024

Global AI in Oil & Gas Market Research Report 2024

Publishing Date : Jan, 2024

License Type :

Report Code : 1805675

No of Pages : 86

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Report Description
Table of Content

Synopsis

Artificial intelligence (AI) is proving to be a cost-saving investment for the oil and gas industry. It is increasingly being used to improve various upstream, midstream, and downstream processes in the industry, from boiler diagnostics to actual drilling. Applications such as quality control, prediction planning, and predictive maintenance for upstream, midstream, and downstream are majorly using AI.

The global AI in Oil & Gas market was valued at US$ 2562.1 million in 2023 and is anticipated to reach US$ 5414.4 million by 2030, witnessing a CAGR of 11.1% during the forecast period 2024-2030.

As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.23%, including software, hardware and services.

This report aims to provide a comprehensive presentation of the global market for AI in Oil & 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 AI in Oil & Gas.

Report Scope

The AI in Oil & Gas market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in Oil & Gas market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the AI in Oil & Gas companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

IBM
Accenture
Google
Microsoft Corporation
Oracle
Microsoft Corporation
Oracle
EY
Intel
FuGenX Technologies
Baker Hughes
Halliburton
Schlumberger

Segment by Type

Hardware
Software
Services

Segment by Application

Upstream
Midstream
Downstream

Consumption by Region

North America (United States, Canada)
Europe (Germany, France, U.K., Italy, Russia)
Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
Latin America (Mexico, Brazil, Argentina)
Middle East & Africa (Turkey, Saudi Arabia, UAE)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in Oil & Gas companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Oil & Gas Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global AI in Oil & Gas Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Upstream
1.3.3 Midstream
1.3.4 Downstream
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Oil & Gas Market Perspective (2019-2030)
2.2 AI in Oil & Gas Growth Trends by Region
2.2.1 Global AI in Oil & Gas Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Oil & Gas Historic Market Size by Region (2019-2024)
2.2.3 AI in Oil & Gas Forecasted Market Size by Region (2025-2030)
2.3 AI in Oil & Gas Market Dynamics
2.3.1 AI in Oil & Gas Industry Trends
2.3.2 AI in Oil & Gas Market Drivers
2.3.3 AI in Oil & Gas Market Challenges
2.3.4 AI in Oil & Gas Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Oil & Gas Players by Revenue
3.1.1 Global Top AI in Oil & Gas Players by Revenue (2019-2024)
3.1.2 Global AI in Oil & Gas Revenue Market Share by Players (2019-2024)
3.2 Global AI in Oil & Gas Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Oil & Gas Revenue
3.4 Global AI in Oil & Gas Market Concentration Ratio
3.4.1 Global AI in Oil & Gas Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Oil & Gas Revenue in 2023
3.5 AI in Oil & Gas Key Players Head office and Area Served
3.6 Key Players AI in Oil & Gas Product Solution and Service
3.7 Date of Enter into AI in Oil & Gas Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Oil & Gas Breakdown Data by Type
4.1 Global AI in Oil & Gas Historic Market Size by Type (2019-2024)
4.2 Global AI in Oil & Gas Forecasted Market Size by Type (2025-2030)
5 AI in Oil & Gas Breakdown Data by Application
5.1 Global AI in Oil & Gas Historic Market Size by Application (2019-2024)
5.2 Global AI in Oil & Gas Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in Oil & Gas Market Size (2019-2030)
6.2 North America AI in Oil & Gas Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Oil & Gas Market Size by Country (2019-2024)
6.4 North America AI in Oil & Gas Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Oil & Gas Market Size (2019-2030)
7.2 Europe AI in Oil & Gas Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Oil & Gas Market Size by Country (2019-2024)
7.4 Europe AI in Oil & Gas Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in Oil & Gas Market Size (2019-2030)
8.2 Asia-Pacific AI in Oil & Gas Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Oil & Gas Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in Oil & Gas Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in Oil & Gas Market Size (2019-2030)
9.2 Latin America AI in Oil & Gas Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Oil & Gas Market Size by Country (2019-2024)
9.4 Latin America AI in Oil & Gas Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Oil & Gas Market Size (2019-2030)
10.2 Middle East & Africa AI in Oil & Gas Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Oil & Gas Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in Oil & Gas Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM AI in Oil & Gas Introduction
11.1.4 IBM Revenue in AI in Oil & Gas Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Accenture
11.2.1 Accenture Company Detail
11.2.2 Accenture Business Overview
11.2.3 Accenture AI in Oil & Gas Introduction
11.2.4 Accenture Revenue in AI in Oil & Gas Business (2019-2024)
11.2.5 Accenture Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google AI in Oil & Gas Introduction
11.3.4 Google Revenue in AI in Oil & Gas Business (2019-2024)
11.3.5 Google Recent Development
11.4 Microsoft Corporation
11.4.1 Microsoft Corporation Company Detail
11.4.2 Microsoft Corporation Business Overview
11.4.3 Microsoft Corporation AI in Oil & Gas Introduction
11.4.4 Microsoft Corporation Revenue in AI in Oil & Gas Business (2019-2024)
11.4.5 Microsoft Corporation Recent Development
11.5 Oracle
11.5.1 Oracle Company Detail
11.5.2 Oracle Business Overview
11.5.3 Oracle AI in Oil & Gas Introduction
11.5.4 Oracle Revenue in AI in Oil & Gas Business (2019-2024)
11.5.5 Oracle Recent Development
11.6 Microsoft Corporation
11.6.1 Microsoft Corporation Company Detail
11.6.2 Microsoft Corporation Business Overview
11.6.3 Microsoft Corporation AI in Oil & Gas Introduction
11.6.4 Microsoft Corporation Revenue in AI in Oil & Gas Business (2019-2024)
11.6.5 Microsoft Corporation Recent Development
11.7 Oracle
11.7.1 Oracle Company Detail
11.7.2 Oracle Business Overview
11.7.3 Oracle AI in Oil & Gas Introduction
11.7.4 Oracle Revenue in AI in Oil & Gas Business (2019-2024)
11.7.5 Oracle Recent Development
11.8 EY
11.8.1 EY Company Detail
11.8.2 EY Business Overview
11.8.3 EY AI in Oil & Gas Introduction
11.8.4 EY Revenue in AI in Oil & Gas Business (2019-2024)
11.8.5 EY Recent Development
11.9 Intel
11.9.1 Intel Company Detail
11.9.2 Intel Business Overview
11.9.3 Intel AI in Oil & Gas Introduction
11.9.4 Intel Revenue in AI in Oil & Gas Business (2019-2024)
11.9.5 Intel Recent Development
11.10 FuGenX Technologies
11.10.1 FuGenX Technologies Company Detail
11.10.2 FuGenX Technologies Business Overview
11.10.3 FuGenX Technologies AI in Oil & Gas Introduction
11.10.4 FuGenX Technologies Revenue in AI in Oil & Gas Business (2019-2024)
11.10.5 FuGenX Technologies Recent Development
11.11 Baker Hughes
11.11.1 Baker Hughes Company Detail
11.11.2 Baker Hughes Business Overview
11.11.3 Baker Hughes AI in Oil & Gas Introduction
11.11.4 Baker Hughes Revenue in AI in Oil & Gas Business (2019-2024)
11.11.5 Baker Hughes Recent Development
11.12 Halliburton
11.12.1 Halliburton Company Detail
11.12.2 Halliburton Business Overview
11.12.3 Halliburton AI in Oil & Gas Introduction
11.12.4 Halliburton Revenue in AI in Oil & Gas Business (2019-2024)
11.12.5 Halliburton Recent Development
11.13 Schlumberger
11.13.1 Schlumberger Company Detail
11.13.2 Schlumberger Business Overview
11.13.3 Schlumberger AI in Oil & Gas Introduction
11.13.4 Schlumberger Revenue in AI in Oil & Gas Business (2019-2024)
11.13.5 Schlumberger Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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