Artificial Intelligence in Oil and Gas Market By Manufacturers, By Type (Hardware, Software, Hybrid), By Function (Predictive Maintenance and Machinery, Inspection, Material Movement, Production Planning, Field Services, Quality Control, Reclamation), By Application (Upstream, Downstream, Midstream), and By Regions (North America, Europe, Middle East and Africa, Latin America and Asia Pacific) - Global Outlook to 2026
Report ID: 391233 | Feb 2020 | No. of Pages: 120
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Covid-19 Impact Analysis & Forecast
Global Artificial Intelligence in Oil and Gas Market is valued USD 1.97 Billion in 2019 and is projected is to exhibit 12.74 % CAGR during the forecast period. The market is projected to be around USD 4.56 Billion by 2026. The market is driven by the increasing demand for big data technology.
Artificial intelligence is a diverse scientific field, but within the oil and gas industry, there are two fundamental applications of the technology machine learning and data science. Machine learning can also be used to run simulations, using predictive data models to discover patterns based on a type of inputs.
Artificial Intelligence in Oil and Gas Market Dynamics
The factors that drive the growth of Artificial Intelligence in the oil and gas market increasing demand for big data technology in the oil and gas industry to augment E&P capabilities with the increasing need for automation in the oil and gas industry is thereby rising the investments through joint venture capitals.
Additionally, artificial intelligence systems can optimize, and automate data-rich processes they help in minimizing or eliminating duplication of efforts, and further in mitigating business risk. This improves productivity and minimizes the overall operational cost. However, high capital investments for the integration of AI technologies, along with the lack of skilled AI professionals, could hamper the growth of the market.
Artificial Intelligence in Oil and Gas Market Insight
Based on the region, North America is expected to dominate the market of an AI in the oil and gas market. Because of the oil and gas industry officials are looking for other options to reduce the industry’s dependence on aging and depleting workforce. AI implementation in the region’s oil and gas industry has offered companies many opportunities to adapt and optimize their operations, which is the major driver of the North American AI in the oil and gas market. AI is reducing the industry’s dependency on the workforce, decreasing the operational cost per barrel, and eliminating operational risks involving humans.
Artificial Intelligence in Oil and Gas Market Segmentation
The global Artificial Intelligence in Oil and Gas Market is segmented into type, function, application, and region. On the basis of the type the market is divided into hardware, software, and hybrid. Based on function the market is segmented into predictive maintenance and machinery, inspection, material movement, production planning, field services, quality control, reclamation. Based on application the market is segmented into upstream, downstream, midstream. And based on the geography the market is further segregated into North America, Latin America, Europe and Asia Pacific.
Artificial Intelligence in Oil and Gas Market Competitive Landscape
The key players in Artificial Intelligence in Oil and Gas Market are listed as Google LLC, IBM Corporation, FuGenX Technologies Pvt. Ltd., Hortonworks Inc., Microsoft Corporation, Intel Corporation, Royal Dutch Shell PLC, PJSC Gazprom Neft, Huawei Technologies Co., Ltd., NVIDIA Corp., Infosys Ltd., and Other.
Artificial intelligence is a diverse scientific field, but within the oil and gas industry, there are two fundamental applications of the technology machine learning and data science. Machine learning can also be used to run simulations, using predictive data models to discover patterns based on a type of inputs.
Artificial Intelligence in Oil and Gas Market Dynamics
The factors that drive the growth of Artificial Intelligence in the oil and gas market increasing demand for big data technology in the oil and gas industry to augment E&P capabilities with the increasing need for automation in the oil and gas industry is thereby rising the investments through joint venture capitals.
Additionally, artificial intelligence systems can optimize, and automate data-rich processes they help in minimizing or eliminating duplication of efforts, and further in mitigating business risk. This improves productivity and minimizes the overall operational cost. However, high capital investments for the integration of AI technologies, along with the lack of skilled AI professionals, could hamper the growth of the market.
Artificial Intelligence in Oil and Gas Market Insight
Based on the region, North America is expected to dominate the market of an AI in the oil and gas market. Because of the oil and gas industry officials are looking for other options to reduce the industry’s dependence on aging and depleting workforce. AI implementation in the region’s oil and gas industry has offered companies many opportunities to adapt and optimize their operations, which is the major driver of the North American AI in the oil and gas market. AI is reducing the industry’s dependency on the workforce, decreasing the operational cost per barrel, and eliminating operational risks involving humans.
Artificial Intelligence in Oil and Gas Market Segmentation
The global Artificial Intelligence in Oil and Gas Market is segmented into type, function, application, and region. On the basis of the type the market is divided into hardware, software, and hybrid. Based on function the market is segmented into predictive maintenance and machinery, inspection, material movement, production planning, field services, quality control, reclamation. Based on application the market is segmented into upstream, downstream, midstream. And based on the geography the market is further segregated into North America, Latin America, Europe and Asia Pacific.
Artificial Intelligence in Oil and Gas Market Competitive Landscape
The key players in Artificial Intelligence in Oil and Gas Market are listed as Google LLC, IBM Corporation, FuGenX Technologies Pvt. Ltd., Hortonworks Inc., Microsoft Corporation, Intel Corporation, Royal Dutch Shell PLC, PJSC Gazprom Neft, Huawei Technologies Co., Ltd., NVIDIA Corp., Infosys Ltd., and Other.
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. DefinitionChapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & LimitationsChapter 3. Executive SummaryChapter 4. Market Outlook
4.1. Market Dynamics
4.1.1. Market Drivers
4.1.2. Market Restraints
4.1.3. Market Opportunities
4.2. Porter’s Analysis
4.3. Value Chain AnalysisChapter 5. Artificial Intelligence in Oil and Gas Market, By Type
5.1. Artificial Intelligence in Oil and Gas Market, By Type, 2018-2026
5.2. Hardware
5.3. Software
5.4. HybridChapter 6. Artificial Intelligence in Oil and Gas Market, By Function
6.1. Artificial Intelligence in Oil and Gas Market, by Function, 2018-2026
6.2. Predictive Maintenance and Machinery Inspection
6.3. Material Movement
6.4. Production Planning
6.5. Field Services
6.6. Quality Control
6.7. ReclamationChapter 7. Artificial Intelligence in Oil and Gas Market, By Application
7.1. Artificial Intelligence in Oil and Gas Market, by Application, 2018-2026
7.2. Upstream
7.3. Downstream
7.4. MidstreamChapter 8. Artificial Intelligence in Oil and Gas Market, By Region
8.1. Artificial Intelligence in Oil and Gas Market, by Region, 2018-2026
8.1.1. North America
8.1.1.1. U.S
8.1.1.2. Rest of North America
8.1.2. Europe
8.1.2.1. U.K.
8.1.2.2. Germany
8.1.2.3. France
8.1.2.4. Rest of the Europe
8.1.3. Middle East & Africa (MEA)
8.1.3.1. GCC
8.1.3.2. North Africa
8.1.3.3. South Africa
8.1.3.4. Rest of MEA
8.1.4. Latin America (LATAM)
8.1.4.1. Brazil
8.1.4.2. Rest of LATAM
8.1.5. Asia Pacific (APAC)
8.1.5.1. India
8.1.5.2. China
8.1.5.3. Japan
8.1.5.4. Rest of the APACChapter 9. Competitive Landscape
9.1.1. Key Strategies Adopted by Players
9.1.2. Market Share/Positioning AnalysisChapter 10. Company Profiles10.1. Google LLC
10.1.1. Company Overview
10.1.2. Product Offerings
10.1.3. Financial Performance
10.1.4. Recent Initiatives10.2. Google LLC
10.2.1. Company Overview
10.2.2. Product Offerings
10.2.3. Financial Performance
10.2.4. Recent Initiatives10.3. IBM Corporation
10.3.1. Company Overview
10.3.2. Product Offerings
10.3.3. Financial Performance
10.3.4. Recent Initiatives10.4. FuGenX Technologies Pvt. Ltd.
10.4.1. Company Overview
10.4.2. Product Offerings
10.4.3. Financial Performance
10.4.4. Recent Initiatives10.5 Hortonworks Inc.
10.5.1. Company Overview
10.5.2. Product Offerings
10.5.3. Financial Performance
10.5.4. Recent Initiatives10.6. Microsoft Corporation
10.6.1. Company Overview
10.6.2. Product Offerings
10.6.3. Financial Performance
10.6.4. Recent Initiatives10.7. Intel Corporation
10.7.1. Company Overview
10.7.2. Product Offerings
10.7.3. Financial Performance
10.7.4. Recent Initiatives10.8. Royal Dutch Shell PLC
10.8.1. Company Overview
10.8.2. Product Offerings
10.8.3. Financial Performance
10.8.4. Recent Initiatives10.9. PJSC Gazprom Neft
10.9.1. Company Overview
10.9.2. Product Offerings
10.9.3. Financial Performance
10.9.4. Recent Initiatives10.10. Huawei Technologies Co., Ltd.
10.10.1. Company Overview
10.10.2. Product Offerings
10.10.3. Financial Performance
10.10.4. Recent Initiatives10.11. NVIDIA Corp.
10.11.1. Company Overview
10.11.2. Product Offerings
10.11.3. Financial Performance
10.11.4. Recent Initiatives10.12. Infosys Ltd.
10.12.1. Company Overview
10.12.2. Product Offerings
10.12.3. Financial Performance
10.12.4. Recent Initiatives10.13. List of other companies
10.13.1. Company Overview
10.13.2. Product Offerings
10.13.3. Financial Performance
10.13.4. Recent InitiativesChapter 11. Appendix
11.1. About Us
11.2. Glossary of Terms
1.1. Research Objective
1.2. Scope of the Study
1.3. DefinitionChapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & LimitationsChapter 3. Executive SummaryChapter 4. Market Outlook
4.1. Market Dynamics
4.1.1. Market Drivers
4.1.2. Market Restraints
4.1.3. Market Opportunities
4.2. Porter’s Analysis
4.3. Value Chain AnalysisChapter 5. Artificial Intelligence in Oil and Gas Market, By Type
5.1. Artificial Intelligence in Oil and Gas Market, By Type, 2018-2026
5.2. Hardware
5.3. Software
5.4. HybridChapter 6. Artificial Intelligence in Oil and Gas Market, By Function
6.1. Artificial Intelligence in Oil and Gas Market, by Function, 2018-2026
6.2. Predictive Maintenance and Machinery Inspection
6.3. Material Movement
6.4. Production Planning
6.5. Field Services
6.6. Quality Control
6.7. ReclamationChapter 7. Artificial Intelligence in Oil and Gas Market, By Application
7.1. Artificial Intelligence in Oil and Gas Market, by Application, 2018-2026
7.2. Upstream
7.3. Downstream
7.4. MidstreamChapter 8. Artificial Intelligence in Oil and Gas Market, By Region
8.1. Artificial Intelligence in Oil and Gas Market, by Region, 2018-2026
8.1.1. North America
8.1.1.1. U.S
8.1.1.2. Rest of North America
8.1.2. Europe
8.1.2.1. U.K.
8.1.2.2. Germany
8.1.2.3. France
8.1.2.4. Rest of the Europe
8.1.3. Middle East & Africa (MEA)
8.1.3.1. GCC
8.1.3.2. North Africa
8.1.3.3. South Africa
8.1.3.4. Rest of MEA
8.1.4. Latin America (LATAM)
8.1.4.1. Brazil
8.1.4.2. Rest of LATAM
8.1.5. Asia Pacific (APAC)
8.1.5.1. India
8.1.5.2. China
8.1.5.3. Japan
8.1.5.4. Rest of the APACChapter 9. Competitive Landscape
9.1.1. Key Strategies Adopted by Players
9.1.2. Market Share/Positioning AnalysisChapter 10. Company Profiles10.1. Google LLC
10.1.1. Company Overview
10.1.2. Product Offerings
10.1.3. Financial Performance
10.1.4. Recent Initiatives10.2. Google LLC
10.2.1. Company Overview
10.2.2. Product Offerings
10.2.3. Financial Performance
10.2.4. Recent Initiatives10.3. IBM Corporation
10.3.1. Company Overview
10.3.2. Product Offerings
10.3.3. Financial Performance
10.3.4. Recent Initiatives10.4. FuGenX Technologies Pvt. Ltd.
10.4.1. Company Overview
10.4.2. Product Offerings
10.4.3. Financial Performance
10.4.4. Recent Initiatives10.5 Hortonworks Inc.
10.5.1. Company Overview
10.5.2. Product Offerings
10.5.3. Financial Performance
10.5.4. Recent Initiatives10.6. Microsoft Corporation
10.6.1. Company Overview
10.6.2. Product Offerings
10.6.3. Financial Performance
10.6.4. Recent Initiatives10.7. Intel Corporation
10.7.1. Company Overview
10.7.2. Product Offerings
10.7.3. Financial Performance
10.7.4. Recent Initiatives10.8. Royal Dutch Shell PLC
10.8.1. Company Overview
10.8.2. Product Offerings
10.8.3. Financial Performance
10.8.4. Recent Initiatives10.9. PJSC Gazprom Neft
10.9.1. Company Overview
10.9.2. Product Offerings
10.9.3. Financial Performance
10.9.4. Recent Initiatives10.10. Huawei Technologies Co., Ltd.
10.10.1. Company Overview
10.10.2. Product Offerings
10.10.3. Financial Performance
10.10.4. Recent Initiatives10.11. NVIDIA Corp.
10.11.1. Company Overview
10.11.2. Product Offerings
10.11.3. Financial Performance
10.11.4. Recent Initiatives10.12. Infosys Ltd.
10.12.1. Company Overview
10.12.2. Product Offerings
10.12.3. Financial Performance
10.12.4. Recent Initiatives10.13. List of other companies
10.13.1. Company Overview
10.13.2. Product Offerings
10.13.3. Financial Performance
10.13.4. Recent InitiativesChapter 11. Appendix
11.1. About Us
11.2. Glossary of Terms
Google LLC
IBM Corporation
FuGenX Technologies Pvt. Ltd.
Hortonworks Inc.
Microsoft Corporation
Intel Corporation
Royal Dutch Shell PLC
PJSC Gazprom Neft
Huawei Technologies Co., Ltd.
NVIDIA Corp.
Infosys Ltd.
Other
IBM Corporation
FuGenX Technologies Pvt. Ltd.
Hortonworks Inc.
Microsoft Corporation
Intel Corporation
Royal Dutch Shell PLC
PJSC Gazprom Neft
Huawei Technologies Co., Ltd.
NVIDIA Corp.
Infosys Ltd.
Other
1. This report provides in depth analysis for changing competitive dynamics and keeps you ahead of competitors
2. Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market
3. It provides a forward looking perspective on different factors driving or restraining market growth
4. It provides an eight-year forecast assessed on the basis of how the market is expected to grow
5. It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of various market segment
6. Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
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