AI in Oil and Gas Market Competitive Insights and Global Outlook - IBM,Intel,Google,Microsoft,Oracle,Numenta,Sentient technologies,Inbenta,General Vision
The Global Artificial Intelligence in Oil and Gas Market was valued at USD 2,040.89 million in 2019, and it is expected to reach a value of USD 3,349.89 million by 2026, while registering a CAGR of 10.14% during the forecast period (2021-2026).
Some of the key players operating in the AI in Oil and Gas market are IBM,Intel,Google,Microsoft,Oracle,Numenta,Sentient technologies,Inbenta,General Vision,Cisco,FuGenX Technologies,Infosys,Hortonworks,Royal Dutch Shell
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January 2021 - Atos and IBM expanded their strategic global alliance to help companies accelerate their digital transformation and optimize business processes. Atos and IBM aim to work together to address business challenges to serve the Manufacturing, Energy and Utilities, Oil and Gas, Retail, and Transportation sectors. The areas of focus include Asset Lifecycle Management Solutions, Asset Monitoring and Maintenance, Repair, and Operations (MRO) Optimization, Packaging, Transportation and Logistics Optimization Solutions, and SMART Waste/Energy Monitoring and Optimization Solutions.
January 2020 - Gazprom and ICS Holding set up a joint venture to develop digital products for the oil and gas industry and roll them out in the Russian and global markets. The development strategy for the new joint venture is aimed at addressing the challenges of digitally transformation in the oil and gas sector through the application of Industry 4.0 technologies.
The study objectives of this report are:
To study and forecast the market size of AI in Oil and Gas in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast among global major regions.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Scope of the Report
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. Type of services, such as professional services and managed services are considered under the scope of the report.
The report is mainly segmented into several key regions, with sales, revenue, market share, and growth rate in these regions, covering:
North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
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Table of Contents: -
1. Global AI in Oil and Gas Market Overview
2. Global AI in Oil and Gas Market Competitions by Manufacturers
3. Global AI in Oil and Gas Capacities, Production, Revenue (Value) by Region
4. Global AI in Oil and Gas Supply (Production), Consumption, Export, Import by Region
5. Global AI in Oil and Gas Productions, Revenue (Value), Price Trend by Type
6. Global AI in Oil and Gas Market Analyses by Application
7. Global AI in Oil and Gas Manufacturers Profiles/Analysis
8. AI in Oil and Gas Manufacturing Cost Analysis
9. Industrial Chain, Sourcing Strategy and Downstream Buyers
10. Marketing Strategy Analyses, Distributors/Traders
11. Market Effect Factors Analysis
12. Global AI in Oil and Gas Market Forecast
13. Research Findings and Conclusion
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The research includes historic data from 2015 to 2021 and forecasts until 2028 which makes the report's an invaluable resource for industry executives, Marketing, Sales and product managers, consultants, analysts, and other people looking for key industry data in readily accessible documents with clearly presented tables and graphs.
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