Home > Artificial Intelligence in Oil and Gas Market, Market Insight, Growth Opportunity, Forecast by 2020 to 2028|Top Players| Cisco, Intel, Infosys, IBM, Royal Dutch Shell, Accenture, Oracle, and Microsoft.

Artificial Intelligence in Oil and Gas Market, Market Insight, Growth Opportunity, Forecast by 2020 to 2028|Top Players| Cisco, Intel, Infosys, IBM, Royal Dutch Shell, Accenture, Oracle, and Microsoft.

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KACSK Market Research recently promoted report on Artificial Intelligence in Oil and Gas Market-

Report offers a comprehensive valuation of the marketplace via in-depth comprehensions, accurate market growth by evaluating past developments, and keeping track of current situation and future prospects by intellect progressive and likely areas.
The Artificial Intelligence in Oil and Gas Market report offers a deep analysis of the Market Research Industry. It demonstrates a rapid summary of industry data and key catalog of the market. The report highlights well-known performers from the Artificial Intelligence in Oil and Gas Market beside contribution to the market vocation progress within the estimated time. KACSK Market Research Report covers recent improvements while predicting the expansion of the players of the market.
Artificial Intelligence in Oil and Gas Market Report is expected to grow at CAGR XX% by 2028. Artificial Intelligence in Oil and Gas Market Report was $1.42 billion in 2016, $1.63 in 2018 and it expected to reach $XX Billion by the forecasted period 2020 to 2028.
The research report study is tactical in nature, taking an aggregate and long- term view, regardless of the players involved in the products.
This research report study gives, nevertheless, our worldwide estimates, demand, or the potential industry earnings (P.I.E.), for Artificial Intelligence in Oil and Gas Market. It also shows how the P.I.E. is divided over the world’s National and Regional markets. For each country, our study also enhances estimation of how the P.I.E. (potential industry earnings) grows over time (positive or negative growth). In order to process to make these estimates, a multi-stage methodology was employed

Artificial Intelligence in Oil and Gas Market The report estimates back to the year. It assesses the idea of returns (USD Millions). The study emphasizes the drivers also challenges which is determining the market growth. It also determines the valuation of the anticipated time. The report covers the key opportunities of the event.
The global KACSK Market Research team covers the key product category, sections and sub-sections. The entire classification of the Market is out there within the global report associated with the analytics of the restraining and supporting factors of the market.
The study of KACSK Market Research comprises for comprehensive primary investigation along with the detailed investigation of qualitative as well as quantitative aspects by various enterprise experts, key opinion leaders to obtain the deeper insight of the market and enterprise performance. The report Artificial Intelligence in Oil and Gas Market gives a definite perception of popular market situation which introduces the historical and predicted market size in terms of value and volume, technological advancement, macro economical and governing factors in the market. The report presents details information and strategies of the top key players in the industry.

The global Market classification is predicated on the variability of products and end-user request sections. The market study includes the event of every section of the worldwide Market. The info summarized within the report may be a collection of variant manufacturer bodies to approximate the expansion of sections in future time.
Qualitative, Quantitative, Forecasting and in-depth analysis for the market will be provided on a global, regional, and country-level for the following years:

Historical data- 2016 to 2018
The base year for estimation- 2019
Forecast period- 2020 to 2028
Our Research covers Competitors:
1- Company Profile
2- Main Business Information
3- SWOT Analysis
4- Sales, Revenue, Price and Gross Margin
5- Market Share
Market share and company profiles of the:
KACSK MR Present latest study on- Artificial Intelligence in Oil and Gas Market The report present extensive, in-depth analysis of the on-going trends, opportunities/ high growth areas, market drivers, which could help stakeholders to device and align market strategies according to the future market dynamics.
Based on elite players, present, past and futuristic data which will offer as a profitable guide for all the readers and competitors. The overall analysis covers an overview of the industry policies, the cost structure of the products available in the market.

How will this Market study assistance you?
KACSK Market Research- Our Research study will provide you to understand the key market trends, challenges, Market Size, Market Key Players, Market Insights, SWOT analysis, and opportunities in the industries.

1. The report offers statistical data in terms useful (US$) also as Volume (units) till Forecast period.
2. Exclusive insight into the key trends affecting the industry, although key threats, opportunities and disruptive technologies that would shape the Artificial Intelligence in Oil and Gas Market supply and demand.
3. The report tracks the leading market players which will shape and impact the Artificial Intelligence in Oil and Gas Market most.
4. The info analysis present within the report is predicated on the mixture of both primary and secondary resources.
5. The report helps you to know the important effects of key market drivers or restrainers on business.
6. Distribution Channel sales Analysis by Value.
7. Study provide you the data from the different segment of the industry
8. Free Customization as per your requirement.
Thanks for reading the article. You’ll also customize the report consistent with your requirements.

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Table of Content

AI (Artificial Intelligence) in Oil and Gas Market
Table of Content
1. Research Framework
1.1. Research Objective
1.2. Market Segmentation

2. Research Methodology
2.1. Qualitative Research
2.1.1. Primary & Secondary Sources
2.2. Quantitative Research
2.2.1. Primary & Secondary Sources
2.3. Breakdown of Primary Research Respondents, By Industry Participants
2.4. Assumption for the Study
2.5. Market Size Estimation
2.6. Data Triangulation

3. Executive Summary
3.1. Overview

4. Market Dynamics
4.1. Industry Value Chain Analysis
4.1.1. Raw Material Provider
4.1.2. Manufacturer/Producer
4.1.3. Distributor
4.1.4. End User
4.2. Global Industry Outlook
4.3. Porter’s Five Forces Model
4.4. Market Potential
4.5. COVID-19 Impact Assessment on Market
4.5.1. V Shaped Recovery
4.5.2. U Shaped Recovery
4.5.3. L Shaped Recovery
4.5.4. W Shaped Recovery
4.6. COVID-19 Impact Assessment on Market
4.6.1. Drivers
4.6.2. Restraints
4.6.3. Opportunities
4.6.4. Challenges
4.7. Major Strategies Adopted by Key Players
4.8. Market Positioning of Key Players

5. Global AI (Artificial Intelligence) in Oil and Gas Market Analysis, by Application
5.1. Key Insights
5.2. Market Size and Forecast, 2018-2028 (USD Mn)
5.2.1. Downstream
5.2.2. Midstream
5.2.3. Upstream

6. Global AI (Artificial Intelligence) in Oil and Gas Market Analysis, by (Product Type)
6.1. Key Insights
6.2. Market Size and Forecast, 2018-2028 (USD Mn)
6.2.1. Hardware
6.2.2. Software
6.2.3. Hybrid

7. Global AI (Artificial Intelligence) in Oil and Gas Market Analysis, by Function
7.1. Key Insights
7.2. Market Size and Forecast, 2018-2028 (USD Mn)
7.2.1. Production Planning
7.2.2. Field Services
7.2.3. Quality Control
7.2.4. Reclamation
7.2.5. Predictive Maintenance
7.2.6. Machinery Inspection
7.2.7. Material Movement

8. Global AI (Artificial Intelligence) in Oil and Gas Market, by Geography, 2018-2030 (US$ Bn)
8.1. Key Insights
8.2. Market Size and Forecast, 2018-2028 (USD Mn)
8.2.1. North America
8.2.2. Europe
8.2.3. Asia Pacific
8.2.4. Latin America
8.2.5. Middle East & Africa

9. North America AI (Artificial Intelligence) in Oil and Gas Market Analysis
9.1. Key Insights
9.2. Market Size and Forecast, 2018-2028 (USD Mn)
9.2.1. By Application
9.2.2. Downstream
9.2.3. Midstream
9.2.4. Upstream
9.2.5. By Product Type
9.2.6. Hardware
9.2.7. Software
9.2.8. Hybrid
9.2.9. By Function
9.2.10. Production Planning
9.2.11. Field Services
9.2.12. Quality Control
9.2.13. Reclamation
9.2.14. Predictive Maintenance
9.2.15. Machinery Inspection
9.2.16. Material Movement
9.2.17. By Country
9.2.17.1. United States (U.S.)
9.2.17.2. Canada

10. Europe AI (Artificial Intelligence) in Oil and Gas Market Analysis
10.1. Key Insights
10.2. Market Size and Forecast, 2018-2028 (USD Mn)
10.2.1. By Application
10.2.2. Downstream
10.2.3. Midstream
10.2.4. Upstream
10.2.5. By Product Type
10.2.6. Hardware
10.2.7. Software
10.2.8. Hybrid
10.2.9. By Function
10.2.10. Production Planning
10.2.11. Field Services
10.2.12. Quality Control
10.2.13. Reclamation
10.2.14. Predictive Maintenance
10.2.15. Machinery Inspection
10.2.16. Material Movement
10.2.17. By Country
10.2.17.1. United Kingdom (U.K.)
10.2.17.2. Germany
10.2.17.3. France
10.2.17.4. Italy
10.2.17.5. Spain
10.2.17.6. Rest of Europe

11. Asia Pacific AI (Artificial Intelligence) in Oil and Gas Market Analysis
11.1. Key Insights
11.2. Market Size and Forecast, 2018-2028 (USD Mn)
11.2.1. By Application
11.2.2. Downstream
11.2.3. Midstream
11.2.4. Upstream
11.2.5. By Product Type
11.2.6. Hardware
11.2.7. Software
11.2.8. Hybrid
11.2.9. By Function
11.2.10. Production Planning
11.2.11. Field Services
11.2.12. Quality Control
11.2.13. Reclamation
11.2.14. Predictive Maintenance
11.2.15. Machinery Inspection
11.2.16. Material Movement
11.2.17. By Country
11.2.17.1. Japan
11.2.17.2. China
11.2.17.3. India
11.2.17.4. Rest of Asia Pacific

12. Latin America AI (Artificial Intelligence) in Oil and Gas Market Analysis
12.1. Key Insights
12.2. Market Size and Forecast, 2018-2028 (USD Mn)
12.2.1. By Application
12.2.2. Downstream
12.2.3. Midstream
12.2.4. Upstream
12.2.5. By Product Type
12.2.6. Hardware
12.2.7. Software
12.2.8. Hybrid
12.2.9. By Function
12.2.10. Production Planning
12.2.11. Field Services
12.2.12. Quality Control
12.2.13. Reclamation
12.2.14. Predictive Maintenance
12.2.15. Machinery Inspection
12.2.16. Material Movement
By Country
12.2.16.1. Brazil
12.2.16.2. Mexico
12.2.16.3. Rest of Latin America

13. Middle East & Africa AI (Artificial Intelligence) in Oil and Gas Market Analysis
13.1. Key Insights
13.2. Market Size and Forecast, 2018-2028 (USD Mn)
13.2.1. By Application
13.2.2. Downstream
13.2.3. Midstream
13.2.4. Upstream
13.2.5. By Product Type
13.2.6. Hardware
13.2.7. Software
13.2.8. Hybrid
13.2.9. By Function
13.2.10. Production Planning
13.2.11. Field Services
13.2.12. Quality Control
13.2.13. Reclamation
13.2.14. Predictive Maintenance
13.2.15. Machinery Inspection
13.2.16. Material Movement
13.2.17. By Country
13.2.17.1. GCC Countries
13.2.17.2. Rest of Middle East & Africa

14. Company Profiles

14.1. Company 1- Intel
14.1.1. Company Basic Information, Manufacturing Base, Sales Area
14.1.2. Company Sales and Net Income Highlights
14.1.3. Business Overview
14.1.4. Company News

14.2. Company 2- Microsoft
14.2.1. Company Basic Information, Manufacturing Base, Sales Area
14.2.2. Company Sales and Net Income Highlights
14.2.3. Business Overview
14.2.4. Company News

14.3. Company 3- IBM
14.3.1. Company Basic Information, Manufacturing Base, Sales Area
14.3.2. Company Sales and Net Income Highlights
14.3.3. Business Overview
14.3.4. Company News

14.4. Company 4- Google
14.4.1. Company Basic Information, Manufacturing Base, Sales Area
14.4.2. Company Sales and Net Income Highlights
14.4.3. Business Overview
14.4.4. Company News

14.5. Company 5- Accenture
14.5.1. Company Basic Information, Manufacturing Base, Sales Area
14.5.2. Company Sales and Net Income Highlights
14.5.3. Business Overview
14.5.4. Company News

14.6. Company 6- Oracle
14.6.1. Company Basic Information, Manufacturing Base, Sales Area
14.6.2. Company Sales and Net Income Highlights
14.6.3. Business Overview
14.6.4. Company News

14.7. Company 7- Inbenta
14.7.1. Company Basic Information, Manufacturing Base, Sales Area
14.7.2. Company Sales and Net Income Highlights
14.7.3. Business Overview
14.7.4. Company News

14.8. Company 8- Cisco
14.8.1. Company Basic Information, Manufacturing Base, Sales Area
14.8.2. Company Sales and Net Income Highlights
14.8.3. Business Overview
14.8.4. Company News

14.9. Company 9- Numenta
14.9.1. Company Basic Information, Manufacturing Base, Sales Area
14.9.2. Company Sales and Net Income Highlights
14.9.3. Business Overview
14.9.4. Company News

14.10. Company 10- Sentient technologies
14.10.1. Company Basic Information, Manufacturing Base, Sales Area
14.10.2. Company Sales and Net Income Highlights
14.10.3. Business Overview
14.10.4. Company News

14.11. Company 11- Others Market Players will Included in the Final Report
14.11.1. Company Basic Information, Manufacturing Base, Sales Area
14.11.2. Company Sales and Net Income Highlights
14.11.3. Business Overview
14.11.4. Company News

Research Findings & Conclusion

MARKET SEGMENT

Market Segmentation-By Product type, By Application Type, By Global key players
The Artificial Intelligence in Oil and Gas Market is segmented into different categories.
AI in Oil And Gas Segment by Function
• Production Planning
• Field Services
• Quality Control
• Reclamation
• Predictive Maintenance
• Machinery Inspection
• Material Movement
AI in Oil and Gas Segment by Application-
• Downstream
• Midstream
• Upstream
AI in Oil and Gas Segment by type-
• Hardware
• Software
• Hybrid

Target Audience-
• Government and research organizations
• Institutional investors
• Technology providers
• AI manufacturers and suppliers
• Research organizations and consulting companies
• Artificial Intelligence system providers
• Environmental research institutes
• Artificial Intelligence manufacturers and suppliers
• National and local government organizations

KACSK Market Research is also covering the Global-
The Global Market study evaluates the market development across foremost zonal sections. It’s divided on the idea of topography. The report embraces the spirited circumstances obtainable within the Artificial Intelligence in Oil and Gas Market.
• Asia- Pacific: – India, Japan, China, Australia, Singapore, South Korea, and Indonesia
• Europe: – Spain, Russia, Italy, Germany, UK, and France
• South America: – Brazil, Bolivia, Chile, and Argentina.
• North America: – US, Canada and Mexico
• Middle East and Africa: – South Africa, Turkey, Egypt, Saudi Arabia, and UAE.
Note- Reports can also be available Specific region-wise as per Client requirements

MAJOR PLAYERS

Major Key Players-
1. Intel
2. Microsoft
3. IBM
4. Google
5. Accenture
6. Oracle
7. Inbenta
8. Cisco
9. Numenta
10. Sentient technologies
11. Infosys
12. FuGenx Technologies
13. General Vision
14. Hortonworks
15. Royal Ditch Shell
* Listed companies in this report may vary in the final report subject to Name Change / Merger etc

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