Insights into the Industry

The artificial intelligence in oil and gas industry has been witnessing optimal growth in recent years and is likely to continue even in upcoming years. The growth of artificial intelligence in oil and gas ’s industry size can be attributed to rising investments in research & development activities, entry of new players, product innovation, technological breakthroughs, effective allocation of resources, and growing competition among business rivals to expand its regional as well as customer base. Supportive government policies and incentives, as well as favorable laws, are projected to determine the growth of the artificial intelligence in oil and gas market in foreseeable future. An increase in the spending capacity of customers with the rise in disposable income will further contribute towards artificial intelligence in oil and gas 's market proceeds.

This market research report is a comprehensive overview of the events taking place in the artificial intelligence in oil and gas industry and impacting its growth. Our report divides the artificial intelligence in oil and gas market into various segments or categories based on products, applications, region, etc.  Additionally, our research analysts have listed the key players of the global artificial intelligence in oil and gas market and compared them based on metrics such as market revenue, Y-O-Y sales, shipments volume, historical data, and successful implementation of business strategies such as strategic alliances, mergers & acquisitions, joint ventures, product development, and partnerships & collaborations.

Market Research Store (MRS) published a brand new report titled “Artificial Intelligence in Oil and Gas Market research report which is segmented by Products (Hardware, Software, Hybrid), by Applications (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Reclamation), by Key Players/Companies Microsoft, Google, IBM, Accenture, FuGenX Technologies, Microsoft, Royal Dutch Shell, Infosys, General Vision, Sentient technologies, Inbenta, Cisco, Oracle, Numenta, Hortonworks, Intel”. In 2020, the global artificial intelligence in oil and gas market value was registered at XX (USD Million/Billion) and is predicted to reach XX (USD Million/Billion) at a CAGR of XX% by 2028.

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Scope of the report

Report Attributes Report Details
Report Title Artificial Intelligence in Oil and Gas Market Research Report
By Products Hardware, Software, Hybrid
By Applications Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Reclamation
By Key Players Microsoft, Google, IBM, Accenture, FuGenX Technologies, Microsoft, Royal Dutch Shell, Infosys, General Vision, Sentient technologies, Inbenta, Cisco, Oracle, Numenta, Hortonworks, Intel
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East And Africa (MEA)
Countries Covered North America : U.S and Canada
Europe : U.K, Spain, Germany, Italy, Russia, France, Rest of Europe
APAC : Japan, India, China, Australia, South Korea, South East Asia, Rest of Asia Pacific
Latin America : Mexico, Brazil
The Middle East And Africa : South Africa, UAE, Saudi Arab, Rest of MEA
Base Year 2020
Historical Year 2016to 2020 (Depending on availability, data from 2010 can be offered)
Forecast Year 2028
Number of Pages 115
Customization Available Yes, the report can be tailored to meet your specific requirements.

Based on these findings, the global artificial intelligence in oil and gas industry study suggests strategies to existing market participants as to how they can improve & reinforce their market position. In addition to this, the study also recommends successful market penetrating strategies for new entrants. Furthermore, artificial intelligence in oil and gas industry study report has included all major manufacturers and distributors operating in the artificial intelligence in oil and gas market across all major regions.

Artificial Intelligence in Oil and Gas Market Strategic Analysis

Various analytical methods such as Porter’s Five Force Analysis, SWOT analysis, Market Share Analysis, Competitive Analysis, PESTEL Analysis, Market Attractiveness Analysis, and Value Chain Analysis have been used to analyze the market in the research report. These assessments help users of the report in examining and evaluating artificial intelligence in oil and gas market on the basis of different metrics such as switching costs, economies of scale, current sales, brand loyalty, brand equity, capital investments, production rights, research & development activities, copyrights & patents, legislations, effects of promotional activities, and consumer preferences.

Global Artificial Intelligence in Oil and Gas  Market Y-O-Y Forecast 2016 - 2028

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The information provided in our market research report is anticipated to help the industry stakeholders in the effective decision-making process and successful business outcomes. Moreover, we have been using Ansoff Matrix to help firms analyze and plan their business growth strategies.

Additionally, our report contains a growth-share matrix that aids firms’ business decisions for prioritizing their myriad businesses. We have also included GE Nine Cell Matrix that is helpful in making strategic planning and can help firms in determining their position in the market along with analyzing their growth strategies.

Our researchers also make use of the perceptual map to demonstrate how to target consumers feel about a given brand and form perception about it. We have also included the Customer-Based Brand Equity (CBBE) Model for helping firms effectively position their brands.

Artificial Intelligence in Oil and Gas Market Key Trends Analysis

The key factors influencing the growth of the artificial intelligence in oil and gas market have been assessed in the report. Factors having a huge influence on market demand and restraining factors that impact the development of the market are both addressed rigorously & in-depth in our global market research report.

Furthermore, trends that play a key role in market’s growth are discussed comprehensively in the report. Moreover, a large number of qualitative factors or measurements are included in the report and this includes operating risks and major obstacles encountered by players in the industry.

Artificial Intelligence in Oil and Gas Market Key Segment Analysis

The report delivers a critical assessment on the artificial intelligence in oil and gas market by segmenting it based on Products, Applications, and region. All the segments and categories of the artificial intelligence in oil and gas market have been evaluated based on past, present and future trends and are key parameters determining & defining the growth of the market.

The data for the market and its segments and categories are provided from 2016 to 2028. The report has identified the key segments and categories contributing substantially towards overall market growth in terms of revenue & volume.

Based on Products, the global artificial intelligence in oil and gas market is segmented into Hardware, Software, Hybrid. Comprehensive qualitative and quantitative this segment analysis will be provided in the report from 2016 to 2028.

Based on Applications, market is divided into Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Reclamation. A slew of business growth opportunities and dynamics affecting the different segments are analyzed and discussed in the report.

Impact Assessment of COVID-19

The COVID-19 outbreak has wreaked havoc on worldwide economic and social systems. The disease has entered several industries' value and supply chains, including the artificial intelligence in oil and gas market. The government imposed lockdowns in various locations. We will examine the impact of the COVID-19 pandemic on the global market, looking at both demand and supply.

The COVID-19 pandemic's short- and long-term impacts would be explored to provide a summary. This would help build business plans for all market participants, including manufacturers, vendors, suppliers, distributors, and end-users, during and after the epidemic.

Artificial Intelligence in Oil and Gas Market Regional Trends and Market Player’s Analysis

On the basis of region, the market is segregated into North America, Latin America, Asia Pacific, Europe, and the Middle East & Africa.

The major players holding a huge chunk of market share in the global artificial intelligence in oil and gas market and impacting market profitability are evaluated after considering their product & services revenue, sales, business plans, innovations, and growth rate. The final position of a player in the market depends on market events or market happenings, new product launches, mergers & acquisitions, benchmarking, regional expansions, and technical innovations.

Global Artificial Intelligence in Oil and Gas  Market Regional Segmentation

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For all the key stakeholders of the market, value chain and technology ecosystem, as well as the information provided in this market research report, will prove beneficial. The study offers an outline of the company’s market share and an extensive summary of the major players in the artificial intelligence in oil and gas market.

Some of the leading players profiled in the global artificial intelligence in oil and gas market are,

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

The Key Audiences for Artificial Intelligence in Oil and Gas Market Report

  • Research Institutes & consulting firms
  • Industry Leaders, as well as companies, aspiring to enter the artificial intelligence in oil and gas market
  • Student and universities
  • Solution Providers, product providers, service providers, and other players in the industry
  • Associated private firms and government bodies
  • Individuals interested to learn about market

The report segments of the global artificial intelligence in oil and gas market are as follows:

Global Artificial Intelligence in Oil and Gas Market: By Products

  • Hardware
  • Software
  • Hybrid

Global Artificial Intelligence in Oil and Gas Market: By Applications

  • Predictive Maintenance and Machinery Inspection
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Control
  • Reclamation

The Most Important Research Methodologies

Primary sources include industry experts from management corporations, processing organizations, and analytical service providers who serve businesses across the sector's value chain. We interviewed key sources to acquire qualitative and quantitative data and analyse future prospects.

Primary research undertaken for this report comprised interviews with industry professionals such as CEOs, Vice Presidents, Marketing Directors and Technology Directors of strong core organizations and institutions in major artificial intelligence in oil and gas . We interviewed them to get qualitative and quantitative data.

The following are the justifications for purchasing the global Artificial Intelligence in Oil and Gas market report:

  • Statistical data is well-referenced, and the source is a significant resource for directing interested companies.
  • Market development trends and marketing channels that are cutting-edge are discussed.
  • The feasibility and growth rate of the market as a whole over the foreseeable future are determined.
  • The competitive landscape and demographic research provide a clear picture of the current state of the market on an international scale.
  • A thorough examination of development policies and plans, manufacturing processes, and costing provides a more accurate picture of import/export consumption, supply and demand, pricing, revenue, and gross margins, among other things.
  • Customization is possible based on the client's requirements.

Frequently Asked Questions

These dominant industry players use well planned strategies to occupied highest market share in this market. Some of the top players in Artificial Intelligence in Oil and Gas business includes.

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

As per Artificial Intelligence in Oil and Gas market analysis, North America is forecasted to occupied major share in the Artificial Intelligence in Oil and Gas market.

The statistical data of the dominant industry player of Artificial Intelligence in Oil and Gas market can be acquired from the company profile segment described in the report. This segment come up with analysis of major player’s in the Artificial Intelligence in Oil and Gas market, also their last five-year revenue, segmental, product offerings, key strategies adopted and geographical revenue produced.

The report come up with a segment of the Artificial Intelligence in Oil and Gas market based on Type, Region, and Application, Also offer a determined view on the Artificial Intelligence in Oil and Gas market.

The report offers a nitty-gritty estimation of the market by providing data on various viewpoints that incorporate, restraints, drivers, and opportunities threats. This data can help in making suitable decisions for stakeholders before investing.

The sample report for Artificial Intelligence in Oil and Gas market can be received after the apply from the website.

Table Of Content

Table of Content 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Regulatory Scenario by Region/Country 1.4 Market Investment Scenario Strategic 1.5 Market Analysis by Type 1.5.1 Global Artificial Intelligence in Oil and Gas Market Share by Type (2020-2026) 1.5.2 Hardware 1.5.3 Software 1.5.4 Hybrid 1.6 Market by Application 1.6.1 Global Artificial Intelligence in Oil and Gas Market Share by Application (2020-2026) 1.6.2 Predictive Maintenance and Machinery Inspection 1.6.3 Material Movement 1.6.4 Production Planning 1.6.5 Field Services 1.6.6 Quality Control 1.6.7 Reclamation 1.7 Artificial Intelligence in Oil and Gas Industry Development Trends under COVID-19 Outbreak 1.7.1 Global COVID-19 Status Overview 1.7.2 Influence of COVID-19 Outbreak on Artificial Intelligence in Oil and Gas Industry Development 2. Global Market Growth Trends 2.1 Industry Trends 2.1.1 SWOT Analysis 2.1.2 Porter’s Five Forces Analysis 2.2 Potential Market and Growth Potential Analysis 2.3 Industry News and Policies by Regions 2.3.1 Industry News 2.3.2 Industry Policies 2.4 Industry Trends Under COVID-19 3 Value Chain of Artificial Intelligence in Oil and Gas Market 3.1 Value Chain Status 3.2 Artificial Intelligence in Oil and Gas Manufacturing Cost Structure Analysis 3.2.1 Production Process Analysis 3.2.2 Manufacturing Cost Structure of Artificial Intelligence in Oil and Gas 3.2.3 Labor Cost of Artificial Intelligence in Oil and Gas 3.2.3.1 Labor Cost of Artificial Intelligence in Oil and Gas Under COVID-19 3.3 Sales and Marketing Model Analysis 3.4 Downstream Major Customer Analysis (by Region) 3.5 Value Chain Status Under COVID-19 4 Players Profiles 4.1 Microsoft 4.1.1 Microsoft Basic Information 4.1.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.1.3 Microsoft Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.1.4 Microsoft Business Overview 4.2 Google 4.2.1 Google Basic Information 4.2.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.2.3 Google Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.2.4 Google Business Overview 4.3 IBM 4.3.1 IBM Basic Information 4.3.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.3.3 IBM Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.3.4 IBM Business Overview 4.4 Accenture 4.4.1 Accenture Basic Information 4.4.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.4.3 Accenture Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.4.4 Accenture Business Overview 4.5 FuGenX Technologies 4.5.1 FuGenX Technologies Basic Information 4.5.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.5.3 FuGenX Technologies Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.5.4 FuGenX Technologies Business Overview 4.6 Microsoft 4.6.1 Microsoft Basic Information 4.6.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.6.3 Microsoft Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.6.4 Microsoft Business Overview 4.7 Royal Dutch Shell 4.7.1 Royal Dutch Shell Basic Information 4.7.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.7.3 Royal Dutch Shell Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.7.4 Royal Dutch Shell Business Overview 4.8 Infosys 4.8.1 Infosys Basic Information 4.8.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.8.3 Infosys Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.8.4 Infosys Business Overview 4.9 General Vision 4.9.1 General Vision Basic Information 4.9.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.9.3 General Vision Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.9.4 General Vision Business Overview 4.10 Sentient technologies 4.10.1 Sentient technologies Basic Information 4.10.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.10.3 Sentient technologies Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.10.4 Sentient technologies Business Overview 4.11 Inbenta 4.11.1 Inbenta Basic Information 4.11.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.11.3 Inbenta Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.11.4 Inbenta Business Overview 4.12 Cisco 4.12.1 Cisco Basic Information 4.12.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.12.3 Cisco Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.12.4 Cisco Business Overview 4.13 Oracle 4.13.1 Oracle Basic Information 4.13.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.13.3 Oracle Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.13.4 Oracle Business Overview 4.14 Numenta 4.14.1 Numenta Basic Information 4.14.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.14.3 Numenta Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.14.4 Numenta Business Overview 4.15 Hortonworks 4.15.1 Hortonworks Basic Information 4.15.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.15.3 Hortonworks Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.15.4 Hortonworks Business Overview 4.16 Intel 4.16.1 Intel Basic Information 4.16.2 Artificial Intelligence in Oil and Gas Product Profiles, Application and Specification 4.16.3 Intel Artificial Intelligence in Oil and Gas Market Performance (2015-2020) 4.16.4 Intel Business Overview 5 Global Artificial Intelligence in Oil and Gas Market Analysis by Regions 5.1 Global Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Regions 5.1.1 Global Artificial Intelligence in Oil and Gas Sales by Regions (2015-2020) 5.1.2 Global Artificial Intelligence in Oil and Gas Revenue by Regions (2015-2020) 5.2 North America Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 5.3 Europe Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 5.4 Asia-Pacific Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 5.5 Middle East and Africa Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 5.6 South America Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 6 North America Artificial Intelligence in Oil and Gas Market Analysis by Countries 6.1 North America Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Countries 6.1.1 North America Artificial Intelligence in Oil and Gas Sales by Countries (2015-2020) 6.1.2 North America Artificial Intelligence in Oil and Gas Revenue by Countries (2015-2020) 6.1.3 North America Artificial Intelligence in Oil and Gas Market Under COVID-19 6.2 United States Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 6.2.1 United States Artificial Intelligence in Oil and Gas Market Under COVID-19 6.3 Canada Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 6.4 Mexico Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 7 Europe Artificial Intelligence in Oil and Gas Market Analysis by Countries 7.1 Europe Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Countries 7.1.1 Europe Artificial Intelligence in Oil and Gas Sales by Countries (2015-2020) 7.1.2 Europe Artificial Intelligence in Oil and Gas Revenue by Countries (2015-2020) 7.1.3 Europe Artificial Intelligence in Oil and Gas Market Under COVID-19 7.2 Germany Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 7.2.1 Germany Artificial Intelligence in Oil and Gas Market Under COVID-19 7.3 UK Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 7.3.1 UK Artificial Intelligence in Oil and Gas Market Under COVID-19 7.4 France Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 7.4.1 France Artificial Intelligence in Oil and Gas Market Under COVID-19 7.5 Italy Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 7.5.1 Italy Artificial Intelligence in Oil and Gas Market Under COVID-19 7.6 Spain Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 7.6.1 Spain Artificial Intelligence in Oil and Gas Market Under COVID-19 7.7 Russia Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 7.7.1 Russia Artificial Intelligence in Oil and Gas Market Under COVID-19 8 Asia-Pacific Artificial Intelligence in Oil and Gas Market Analysis by Countries 8.1 Asia-Pacific Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Countries 8.1.1 Asia-Pacific Artificial Intelligence in Oil and Gas Sales by Countries (2015-2020) 8.1.2 Asia-Pacific Artificial Intelligence in Oil and Gas Revenue by Countries (2015-2020) 8.1.3 Asia-Pacific Artificial Intelligence in Oil and Gas Market Under COVID-19 8.2 China Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 8.2.1 China Artificial Intelligence in Oil and Gas Market Under COVID-19 8.3 Japan Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 8.3.1 Japan Artificial Intelligence in Oil and Gas Market Under COVID-19 8.4 South Korea Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 8.4.1 South Korea Artificial Intelligence in Oil and Gas Market Under COVID-19 8.5 Australia Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 8.6 India Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 8.6.1 India Artificial Intelligence in Oil and Gas Market Under COVID-19 8.7 Southeast Asia Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 8.7.1 Southeast Asia Artificial Intelligence in Oil and Gas Market Under COVID-19 9 Middle East and Africa Artificial Intelligence in Oil and Gas Market Analysis by Countries 9.1 Middle East and Africa Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Countries 9.1.1 Middle East and Africa Artificial Intelligence in Oil and Gas Sales by Countries (2015-2020) 9.1.2 Middle East and Africa Artificial Intelligence in Oil and Gas Revenue by Countries (2015-2020) 9.1.3 Middle East and Africa Artificial Intelligence in Oil and Gas Market Under COVID-19 9.2 Saudi Arabia Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 9.3 UAE Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 9.4 Egypt Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 9.5 Nigeria Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 9.6 South Africa Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 10 South America Artificial Intelligence in Oil and Gas Market Analysis by Countries 10.1 South America Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Countries 10.1.1 South America Artificial Intelligence in Oil and Gas Sales by Countries (2015-2020) 10.1.2 South America Artificial Intelligence in Oil and Gas Revenue by Countries (2015-2020) 10.1.3 South America Artificial Intelligence in Oil and Gas Market Under COVID-19 10.2 Brazil Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 10.2.1 Brazil Artificial Intelligence in Oil and Gas Market Under COVID-19 10.3 Argentina Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 10.4 Columbia Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 10.5 Chile Artificial Intelligence in Oil and Gas Sales and Growth Rate (2015-2020) 11 Global Artificial Intelligence in Oil and Gas Market Segment by Types 11.1 Global Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Types (2015-2020) 11.1.1 Global Artificial Intelligence in Oil and Gas Sales and Market Share by Types (2015-2020) 11.1.2 Global Artificial Intelligence in Oil and Gas Revenue and Market Share by Types (2015-2020) 11.2 Hardware Sales and Price (2015-2020) 11.3 Software Sales and Price (2015-2020) 11.4 Hybrid Sales and Price (2015-2020) 12 Global Artificial Intelligence in Oil and Gas Market Segment by Applications 12.1 Global Artificial Intelligence in Oil and Gas Sales, Revenue and Market Share by Applications (2015-2020) 12.1.1 Global Artificial Intelligence in Oil and Gas Sales and Market Share by Applications (2015-2020) 12.1.2 Global Artificial Intelligence in Oil and Gas Revenue and Market Share by Applications (2015-2020) 12.2 Predictive Maintenance and Machinery Inspection Sales, Revenue and Growth Rate (2015-2020) 12.3 Material Movement Sales, Revenue and Growth Rate (2015-2020) 12.4 Production Planning Sales, Revenue and Growth Rate (2015-2020) 12.5 Field Services Sales, Revenue and Growth Rate (2015-2020) 12.6 Quality Control Sales, Revenue and Growth Rate (2015-2020) 12.7 Reclamation Sales, Revenue and Growth Rate (2015-2020) 13 Artificial Intelligence in Oil and Gas Market Forecast by Regions (2020-2026) 13.1 Global Artificial Intelligence in Oil and Gas Sales, Revenue and Growth Rate (2020-2026) 13.2 Artificial Intelligence in Oil and Gas Market Forecast by Regions (2020-2026) 13.2.1 North America Artificial Intelligence in Oil and Gas Market Forecast (2020-2026) 13.2.2 Europe Artificial Intelligence in Oil and Gas Market Forecast (2020-2026) 13.2.3 Asia-Pacific Artificial Intelligence in Oil and Gas Market Forecast (2020-2026) 13.2.4 Middle East and Africa Artificial Intelligence in Oil and Gas Market Forecast (2020-2026) 13.2.5 South America Artificial Intelligence in Oil and Gas Market Forecast (2020-2026) 13.3 Artificial Intelligence in Oil and Gas Market Forecast by Types (2020-2026) 13.4 Artificial Intelligence in Oil and Gas Market Forecast by Applications (2020-2026) 13.5 Artificial Intelligence in Oil and Gas Market Forecast Under COVID-19 14 Appendix 14.1 Methodology 14.2 Research Data Source

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