Press release
Artificial Intelligence in Oil and Gas Market Ongoing Trend 2021 | Competitive Landscape | Top Keyplayers - IBM (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), etc.
Artificial Intelligence in Oil and Gas Market
Oil and gas are valued commodities in the energy sector. Artificial Intelligence (AI), in the oil and gas industry, eases maintenance processes, introduces cost-effectiveness, and finds numerous applications. Intelligent robots are eliminating the workforce with efficient work in both offshore as well as onshore sites, with multiple AI software being used in upstream, midstream, and downstream applications of the oil and gas industry.
The main advantages of Artificial Intelligence in the oil and gas industry are operational efficiency improvements, savings increments, predictive intelligence provisions, and greater safety measures and tactics.
Product Lifecycle
Artificial Intelligence is new to all industries, however, with a slow start in the oil and gas industry, it has recently been adopted by the industry owing to its numerous benefits. It helps companies in keeping costs lower whilst boosting efficiency. AI is flaunted as the answer to many problems that older approaches constituted. For instance, fully automated or autonomous drilling rigs are being used by the offshore oil industry.
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The Major Manufacturers Covered in this Report:
Some of the prominent service providers of Artificial Intelligence in the oil and gas industry are listed below., IBM (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Google LLC (U.S.), Oracle (U.S.), Numenta (U.S.), Sentient Technologies (U.S.), Inbenta Technologies Inc(U.S.), General Vision (U.S.), Cisco (U.S.), and more...
Years that have been considered for the study of this report are as follows:
History Year: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Year: 2021 to 2029
Market Segmentation:
By Type
Hardware
Software
Services
By Function
Predictive Maintenance
Field Service
Material Movement
Production Planning
Quality Control
By Application
Upstream
Midstream
Downstream
Regional Segmentation:
North America (The US, Canada, and Mexico)
Europe (Germany, France, the UK, and Rest of the World)
Asia Pacific (China, Japan, India, and Rest of Asia Pacific)
Latin America (Brazil and Rest of Latin America.)
Middle East & Africa (Saudi Arabia, the UAE, South Africa, and Rest of Middle East & Africa)
Additionally, the analysis also delivers a comprehensive review of the crucial players on the Artificial Intelligence in Oil and Gas Market along with their company profiles, SWOT analysis, latest advancement and business plans.
The analysis objectives of the report are:
To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers and industry specific challenge and risks).
To know the Artificial Intelligence in Oil and Gas Market by pinpointing its many sub segments.
To profile the important players and analyze their growth plans.
To endeavor the amount and value of the Artificial Intelligence in Oil and Gas Market sub-markets, depending on key regions (various vital states).
To analyze the Global Artificial Intelligence in Oil and Gas Market concerning growth trends, prospects and also their participation in the entire sector.
To examine and study the Global Artificial Intelligence in Oil and Gas Market size (volume and value) form the company, essential regions/countries, products and applications, background information and also predictions.
Primary worldwide Global Artificial Intelligence in Oil and Gas Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans for the next coming years.
To examine competitive progress such as expansions, arrangements, new product launches and acquisitions on the market.
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