2023-2029 AI in Oil & Gas Market Size Detailed Report with Competitive Analysis and Status | Research by Absolute Reports

PRESS RELEASE
Published April 18, 2023

[119] pages AI in Oil & Gas market report is segmented by geographical regions (Europe, Asia Pacific, Latin America, Middle East & Africa) and manufactures (General Vision, Oracle, Numenta, Inbenta, Accenture, IBM, Microsoft, Cisco, Microsoft, Royal Dutch Shell, Intel, Infosys, Sentient technologies, FuGenX Technologies, Google, Hortonworks).

"Final Report will add the analysis of the impact of COVID-19 on this industry.

Global “AI in Oil and Gas Market” Research [119 Pages Report] are detailed by types, applications, and geographical. These classifications are further broken down into divisions in order to provide a deeper understanding of the AI in Oil and Gas market. The study introduces competitors in the industry and details the top businesses from the standpoint of market share, market size, growth rate etc. for the competitive landscape. Also, the effects of COVID-19, rising market trends, mergers and acquisitions, and regional conflicts will all be taken into account.

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

The global AI in Oil and Gas market looks promising in the next 5 years. As of 2022, the global AI in Oil and Gas market was estimated at USD 2295.29 million, and it’s anticipated to reach USD 4444.64 million in 2028, with a CAGR of 11.64 percentage during the forecast years.

The oil and gas industry operates across a high-risk environment, where the application of AI is expected to aid in streamlining the overall production process and controlling the wastage across the endpoints.

Major Players in AI in Oil and Gas market are:

  • General Vision
  • Oracle
  • Numenta
  • Inbenta
  • Accenture
  • IBM
  • Microsoft
  • Cisco
  • Microsoft
  • Royal Dutch Shell
  • Intel
  • Infosys
  • Sentient technologies
  • FuGenX Technologies
  • Google
  • Hortonworks

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AI in Oil and Gas Market by Types:

  • Hardware
  • Software
  • Services

AI in Oil and Gas Market by Applications:

  • Predictive Maintenance
  • Production Planning
  • Field Service
  • Material Movement
  • Quality Control

Key Takeaways from the Global AI in Oil and Gas Market Report:

Market Size Estimates: AI in Oil and Gas market size estimation in terms of value and sales volume from 2018-2028

Market Trends and Dynamics: AI in Oil and Gas market drivers, opportunities, challenges, and risks

Macro-economy and Regional Conflict: Influence of global inflation and Russia and Ukraine War on the AI in Oil and Gas market

Segment Market Analysis: AI in Oil and Gas market value and sales volume by type and by application from 2018-2028

Regional Market Analysis: AI in Oil and Gas market situations and prospects in North America, Asia Pacific, Europe, Latin America, Middle East, Africa

Country-level Studies on the AI in Oil and Gas Market: Revenue and sales volume of major countries in each region

AI in Oil and Gas Market Competitive Landscape and Major Players: Analysis of 10-15 leading market players, sales, price, revenue, gross, gross margin, product profile and application, etc.

Trade Flow: Import and export volume of the AI in Oil and Gas market in major regions.

AI in Oil and Gas Industry Value Chain: AI in Oil and Gas market raw materials and suppliers, manufacturing process, distributors, downstream customers

AI in Oil and Gas Industry News, Policies and Regulations

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Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast (2018-2029):

  • United States
  • Europe
  • China
  • Japan
  • India
  • Southeast Asia
  • Latin America
  • Middle East and Africa

Years considered for this report:

  • Historical Years: 2018-2022
  • Base Year: 2022
  • Estimated Year: 2023
  • Forecast Period: 2022-2028

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Chapter including in AI in Oil and Gas market report:

Chapter Outline

Chapter 1 starts the report with an overview of the AI in Oil and Gas market, as well as the definitions of the target market and the subdivisions. Through the presented global market size, regional market sizes, and segment market shares, you will be able to draw an overall and comprehensive picture of the market situation. Meanwhile, the research method and data source will be shared in this chapter.

Chapter 2 and Chapter 3 breaks down the market by different types and applications, with historic data presented in metrics of sales volume, revenue, market share and growth rate.

Chapter 4 elaborates on market dynamics and future trends in the industry, which contains an in-depth analysis of market drivers, opportunities, challenges, and risks. Other essential factors that will have a major impact on the market, i.e., industry news and policies in recent years, global inflation, and regional conflict, are also taken into consideration.

Chapter 5 compares the sales volume and revenue of the major regions across the globe, which enables the readers to understand the regional competitive pattern.

Chapter 6 is the analysis of the trade flow. Import volume and export volume are revealed on a regional level.

Chapters 7-11 focus on country-level studies. Data from the major countries in each region are provided, showing the current development of the industry in different countries. Besides, you will also find qualitative trends analysis under global inflation under each of the 6 regions.

Chapter 12 first up presents the competitive landscape by displaying and comparing the revenues, sales volumes, and market shares of the top players in the market, followed by a company-by-company analysis of all the major market participants with introductions of their products, product applications, company profiles, and business overview. In addition, their competitiveness is manifested through numbers of sales volume, revenue, price, gross and gross margin.

Chapter 13 looks into the whole market industrial chain, ranging from the upstream key raw materials and their suppliers to midstream distributors and downstream customers, with influences of global inflation taken into consideration.

Chapter 14 is perfect for those who wish to develop new projects in the industry. This chapter sheds a light on industry entry barriers and gives suggestions on new project investments.

Chapter 15 forecasts the future trend of the market from the perspective of different types, applications, and major regions.

Chapter 16 is the conclusion of the report which helps the readers sum up the main findings and insights.

Some of the key questions answered in this report:

  • What will the AI in Oil and Gas market growth rate during the forecast period?
  • Which are the key factors driving the AI in Oil and Gas market?
  • What was the size of the AI in Oil and Gas market by 2028?
  • Which region is expected to hold the highest market share in the AI in Oil and Gas market?
  • What trends, challenges and barriers will impact the development and sizing of the Global AI in Oil and Gas market?
  • What are the AI in Oil and Gas market opportunities in the global AI in Oil and Gas Industry?

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1 AI in Oil and Gas Market Overview

1.1 Product Overview

1.2 Market Segmentation

1.2.1 Market by Types

1.2.2 Market by Applications

1.2.3 Market by Regions

1.3 Global AI in Oil and Gas Market Size (2018-2028)

1.3.1 Global AI in Oil and Gas Revenue (USD) and Growth Rate (2018-2028)

1.3.2 Global AI in Oil and Gas Sales Volume and Growth Rate (2018-2028)

1.4 Research Method and Logic

1.4.1 Research Method

1.4.2 Research Data Source

2 Global AI in Oil and Gas Market Historic Revenue (USD) and Sales Volume Segment by Type

2.1 Global AI in Oil and Gas Historic Revenue (USD) by Type (2018-2023)

2.2 Global AI in Oil and Gas Historic Sales Volume by Type (2018-2023)

3 Global AI in Oil and Gas Historic Revenue (USD) and Sales Volume by Application (2018-2023)

3.1 Global AI in Oil and Gas Historic Revenue (USD) by Application (2018-2023)

3.2 Global AI in Oil and Gas Historic Sales Volume by Application (2018-2023)

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4 Market Dynamic and Trends

4.1 Industry Development Trends under Global Inflation

4.2 Impact of Russia and Ukraine War

4.3 Driving Factors for AI in Oil and Gas Market

4.4 Factors Challenging the Market

4.5 Opportunities

4.6 Risk Analysis

4.7 Industry News and Policies by Regions

4.7.1 AI in Oil and Gas Industry News

4.7.2 AI in Oil and Gas Industry Policies

5 Global AI in Oil and Gas Market Revenue (USD) and Sales Volume by Major Regions

5.1 Global Sales Volume by Region (2018-2023)

5.2 Global Market Revenue (USD) by Region (2018-2023)

6 Global AI in Oil and Gas Import Volume and Export Volume by Major Regions

6.1 Global Import Volume by Region (2018-2023)

6.2 Global Export Volume by Region (2018-2023)

7 North America AI in Oil and Gas Market Current Status (2018-2023)

7.1 Overall Market Size Analysis (2018-2023)

7.1.1 North America Revenue (USD) and Growth Rate (2018-2023)

7.1.2 North America Sales Volume and Growth Rate (2018-2023)

7.2 North America Market Trends Analysis Under Global Inflation

7.3 North America Sales Volume and Revenue (USD) by Country (2018-2023)

7.4 United States

7.4.1 United States Revenue (USD) and Growth Rate (2018-2023)

7.5 Canada

7.5.1 Canada Revenue (USD) and Growth Rate (2018-2023)

8 Asia Pacific AI in Oil and Gas Market Current Status (2018-2023)

8.1 Overall Market Size Analysis (2018-2023)

8.1.1 Asia Pacific Revenue (USD) and Growth Rate (2018-2023)

8.1.2 Asia Pacific Sales Volume and Growth Rate (2018-2023)

8.2 Asia Pacific Market Trends Analysis Under Global Inflation

8.3 Asia Pacific Sales Volume and Revenue (USD) by Country (2018-2023)

8.4 China

8.4.1 China Revenue (USD) and Growth Rate (2018-2023)

8.5 Japan

8.5.1 Japan Revenue (USD) and Growth Rate (2018-2023)

8.6 India

8.6.1 India Revenue (USD) and Growth Rate (2018-2023)

8.7 South Korea

8.7.1 South Korea Revenue (USD) and Growth Rate (2018-2023)

8.8 Southeast Asia

8.8.1 Southeast Asia Revenue (USD) by Country (2018-2023)

8.9 Australia

8.9.1 Australia Revenue (USD) and Growth Rate (2018-2023)

9 Europe AI in Oil and Gas Market Current Status (2018-2023)

9.1 Overall Market Size Analysis (2018-2023)

9.1.1 Europe Revenue (USD) and Growth Rate (2018-2023)

9.2.1 Europe Sales Volume and Growth Rate (2018-2023)

9.2 Europe Market Trends Analysis Under Global Inflation

9.3 Europe Sales Volume and Revenue (USD) by Country (2018-2023)

9.4 Germany

9.4.1 Germany Revenue (USD) and Growth Rate (2018-2023)

9.5 France

9.5.1 France Revenue (USD) and Growth Rate (2018-2023)

9.6 United Kingdom

9.6.1 United Kingdom Revenue (USD) and Growth Rate (2018-2023)

9.7 Italy

9.7.1 Italy Revenue (USD) and Growth Rate (2018-2023)

9.8 Spain

9.8.1 Spain Revenue (USD) and Growth Rate (2018-2023)

9.9 Russia

9.9.1 Russia Revenue (USD) and Growth Rate (2018-2023)

9.10 Poland

9.10.1 Poland Revenue (USD) and Growth Rate (2018-2023)

10 Latin America AI in Oil and Gas Market Current Status (2018-2023)

10.1 Overall Market Size Analysis (2018-2023)

10.1.1 Latin America Revenue (USD) and Growth Rate (2018-2023)

10.1.2 Latin America Sales Volume and Growth Rate (2018-2023)

10.2 Latin America Market Trends Analysis under Global Inflation

10.3 Latin America Sales Volume and Revenue (USD) by Country (2018-2023)

10.4 Mexico

10.4.1 Mexico Revenue (USD) and Growth Rate (2018-2023)

10.5 Brazil

10.5.1 Brazil Revenue (USD) and Growth Rate (2018-2023)

10.6 Argentina

10.6.1 Argentina Revenue (USD) and Growth Rate (2018-2023)

11 Middle East and Africa AI in Oil and Gas Market Current Status (2018-2023)

11.1 Overall Market Size Analysis (2018-2023)

11.1.1 Middle East and Africa AI in Oil and Gas Revenue (USD) and Growth Rate (2018-2023)

11.2.1 Middle East and Africa AI in Oil and Gas Sales Volume and Growth Rate (2018-2023)

11.2 Middle East and Africa AI in Oil and Gas Market Trends Analysis Under Global Inflation

11.3 Middle East and Africa AI in Oil and Gas Sales Volume and Revenue (USD) by Country (2018-2023)

11.4 GCC Countries

11.4.1 GCC Countries AI in Oil and Gas Revenue (USD) and Growth Rate (2018-2023)

11.5 Africa

11.5.1 Africa AI in Oil and Gas Revenue (USD) and Growth Rate (2018-2023)

12 Market Competition Analysis and Key Companies Profiles

12.1 Market Competition by Key Players

12.1.1 Global AI in Oil and Gas Revenue (USD) and Market Share of Key Players

12.1.2 Global AI in Oil and Gas Sales Volume and Market Share of Key Players

12.1.3 Global AI in Oil and Gas Average Price by Players

12.1.4 Mergers and Acquisitions, Expansion

12.2 Manufacture 1 Market Performance and Business Analysis

12.2.1 Company Profiles

12.2.2 Product Profiles and Application

12.2.3 Manufacture 1 Market Performance Analysis (Revenue (USD), Sales Volume, Price, Gross, Gross Margin)

13 Value Chain of the AI in Oil and Gas Market

13.1 Value Chain Status

13.1.1 Value Chain Status Under Global Inflation

13.2 Key Raw Materials and Suppliers

13.2.1 Key Raw Materials Introduction

13.2.2 Key Suppliers of Raw Materials

13.3 Manufacturing Cost Structure Analysis

13.3.1 Production Process Analysis

13.3.2 Manufacturing Cost Structure of AI in Oil and Gas

13.3.3 Raw Material Cost of AI in Oil and Gas

13.3.4 Labor Cost of AI in Oil and Gas

13.4 Major Distributors by Region

13.5 Customer Analysis

14 New Project Feasibility Analysis

14.1 Industry Barriers and New Entrants SWOT Analysis

14.2 Analysis and Suggestions on New Project Investment

15 Global AI in Oil and Gas Market Revenue (USD) and Sales Volume Forecast Segment by Type, Application andRegion

15.1 Global Revenue (USD) and Sales Volume Forecast by Type (2023-2028)

15.1.1 Global Revenue (USD) Forecast by Type (2023-2028)

15.1.2 Global Sales Volume Forecast by Type (2023-2028)

15.2 Global Revenue (USD) and Sales Volume Forecast by Application (2023-2028)

15.2.1 Global Revenue (USD) Forecast by Application (2023-2028)

15.2.2 Global Sales Volume Forecast by Application (2023-2028)

15.3 Global Sales Volume Forecast by Region (2023-2028)

15.4 Global Revenue (USD) Forecast by Region (2023-2028)

16 Research Findings and Conclusion

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