Market Executive Summary

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.

Market Analysis and Insights: Global AI in Oil & Gas Market

The global AI in Oil & Gas market is projected to grow from US$ 2882.3 million in 2024 to US$ 5414.4 million by 2030, at a Compound Annual Growth Rate (CAGR) of 11.1% during the forecast period.

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.

Report Covers:

This report presents an overview of global market for AI in Oil & Gas market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030. 

This report researches the key producers of AI in Oil & Gas, also provides the revenue of main regions and countries.  of the upcoming market potential for AI in Oil & Gas, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the AI in Oil & Gas revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global AI in Oil & Gas market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.

This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for AI in Oil & Gas revenue, projected growth trends, production technology, application and end-user industry.

Descriptive company profiles of the major global players, including IBM, Accenture, Google, Microsoft Corporation, Oracle, Microsoft Corporation, Oracle, EY and Intel, etc.

Market Segmentation

Global AI in Oil & Gas Companies Covered

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

Global AI in Oil & Gas Market, by Region

North America (U.S., Canada, Mexico)

Europe (Germany, France, UK, Italy, etc.)

Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

South America (Brazil, etc.)

Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global AI in Oil & Gas Market, Segment by Type

Hardware

Software

Services

Global AI in Oil & Gas Market, Segment by Application

Upstream

Midstream

Downstream

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: Revenue of AI in Oil & Gas in global and regional 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, and capacity of each country in the world. 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 and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.

Chapter 7: Europe by Type, by Application and by country, revenue for each segment.

Chapter 8: China by Type, and by Application, revenue for each segment.

Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.

Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.

Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Oil & Gas revenue, gross margin, and recent development, etc.

Chapter 12: Analyst's Viewpoints/Conclusions