Press release
AI in Oil and Gas Market Expected to Experience Positive Growth Through 2024-2031 | Intel, Google, Microsoft.
AI in Oil and Gas Market || 2024-2031
Will the AI in Oil and Gas market emerge as the sector's next great thing? To discover the answer, look at the AI in Oil and Gas market analysis and projections. In-depth insight of the opportunities, difficulties, and trends now impacting the industrial landscape is provided by this market research study, empowering industry participants to make informed decisions in a changing environment. Take advantage of the opportunity in the AI in Oil and Gas market! (2031)
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Global AAI in Oil and Gas Market is estimated to grow at a CAGR of 13% during the forecast period of 2024-2031.
The AI in Oil and Gas Market involves the integration of artificial intelligence technologies to optimize operations, improve safety, and reduce costs within the oil and gas industry. AI is used for predictive maintenance, exploration, drilling optimization, and supply chain management. The market is driven by the growing need for operational efficiency, the reduction of downtime, and the increasing use of data analytics in exploration and production. As the industry seeks to improve sustainability and reduce environmental impact, AI plays a key role in these efforts.
Key Players:
Profiles of some of the major players in the global AI in Oil and Gas market, which include Intel, Google, Microsoft, Oracle, Sentient technologies, Inbenta, General Vision, Cisco, Hortonworks and IBM.
Industry Development:
In September 2020, Schlumberger, IBM, and Red Hat joined forces to advance the integration of AI technology in the oil and gas sector. Schlumberger, renowned for its expertise in exploration and production, particularly in cloud-based environments and cognitive applications, partnered with IBM to leverage hybrid cloud technology. Built on the Red Hat OpenShift container platform, this collaboration aims to optimize and transform the oil and gas industry's operations through innovative AI-driven solutions.
The purpose of the report is to offer a comprehensive analysis of the market, along with insightful conclusions, statistical data, historical information, market data that has been confirmed by the industry, and predictions based on a sound methodology. By identifying and examining market segments and forecasting global market size, the study also contributes to understanding the dynamics and structure of the global AI in Oil and Gas market.
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Market Segments:
The report covers the segmentation of the market into different segments based on various classifications such as applications, end users, product types, and others. The segmentation is divided into two sections, one for development and the other for different roles, needs, and behaviors.
By Type: Hardware, Software, Services.
By Function: Predictive Maintenance & Machinery Inspection, Field Services, Material Movement, Quality Control, Reclamation, Production Planning.
By Application: Upstream, Midstream, Downstream.
Regional Break out:
The global AI in Oil and Gas Market report focuses on six major regions: North America, South America, Europe, Asia Pacific, the Middle East, and Africa.
☞ North America - US, Canada, Mexico
☞ Europe- Germany, Russia, UK, France, Italy, Rest of Europe
☞ Asia Pacific- China, India, Japan, Australia, Rest of Asia Pacific
☞ South America- Brazil, Argentina, Colombia, Rest of South America
☞ Middle East and Africa- Saudi Arabia, UAE, Oman, Bahrain, Qatar, Kuwait, Israel
Points Covered:
⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, AI in Oil and Gas market segments, study objectives, and years considered.
⏩ Market Landscape: The competition in the Global AI in Oil and Gas Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.
⏩ Companies Profiles: The global AI in Oil and Gas market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.
⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.
⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the AI in Oil and Gas Market.
⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.
⏩ Research Findings: This section of the report showcases the findings and analysis of the report.
⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.
Speak to our Analyst and Get Customization in the report as per your requirements: https://datamintelligence.com/customize/ai-in-oil-and-gas-market
FAQ's
Q.1. What are the primary drivers of the AI in Oil and Gas Industry?
Q.2. What are the main factors propelling and impeding the growth of the AI in Oil and Gas market?
Q.3. What are the general structure, risks, and opportunities of the market?
Q.4. How do the prices, revenue, and sales of the leading AI in Oil and Gas market firms compare?
Q.5. What are the main segments of the market and how is it divided up?
Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com
About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.
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