Over the past period, the use of artificial intelligence (AI) and machine learning technologies in the oil and gas manufacturing has gained important interest. This has led to the development in artificial intelligence market in this manufacturing. With growing tests faced by the oil and gas manufacturing in the past for examination and exploitation of hydrocarbons, a cross disciplinary approach is being rendered which needs some dangerous processes to be semi-automated and some to be fully automatic. Artificial intelligence is being introduced in every part of examination procedure, counting geology, geophysics, and reservoir engineering.
In 2019, the global AI in Oil & Gas market size was by the end of 2026, with a CAGR of +10% during 2019-2026
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The research report assesses the market for AI in Oil & Gas in a comprehensive way by explaining key market characteristics that can be quantified into progressive scenarios over the forecast period. Investigate key drivers, challenges and propensities driving the global market. The report also presents thorough qualitative and quantitative data on the predictable impact of these factors on the market’s future growth prospects.
Some of the prominent players of global are IBM (US), Intel (US), Microsoft (US), Accenture (Republic of Ireland), Google (US), Microsoft (US), Oracle (US), Numenta (US), Sentient technologies (US), Inbenta (US), General Vision (US), Cisco (US), FuGenX Technologies (US), Infosys (India), Hortonworks (US), and Royal Dutch Shell (Netherlands).
After studying key companies, highlighted on the basis of various business strategies and the marketing tactics. This helps provide a strong understanding of the overall market. In addition, the financial overview, recent developments, SWOT analysis, product portfolio, and mergers and acquisitions in the market have been discussed in depth. Six of the key geographies across of the world have been assessed in the report, viz. Asia-pacific, Europe, Latin America, Middle East and Africa, and North America. . The influence of the latest government guidelines is also analyzed in detail in the report.
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The report segments AI in the Oil & Gas market, on the basis of type, into hardware, software, and services. The software segment led AI in the Oil & Gas market in 2019. Software in AI in the Oil & Gas market are applicable in upstream Oil & Gas exploration and production activities. The hardware segment in AI in the Oil & Gas market is expected to grow swiftly during the forecast period (2019 to 2026), mainly due to the increasing requirement for sophisticated hardware system configurations and components capable of handling massive data.
Reasons to Purchase AI in Oil & Gas Market Report
- The impact of the growth of AI, in the energy and utility sector
- An analysis of various perspectives of the market studied, with the help of Porter’s five forces analysis
- The segments that are expected to dominate the market studied
- The regional analysis of the market studied, during the forecast period
- The latest developments, market shares, and strategies employed by the major market players and key innovators
- 3-month analyst support along with the Market Estimate sheet (in Excel)
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Table of Contents:
Global AI In Oil & Gas Market Research Report
Chapter 1 AI In Oil & Gas Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
…….CONTINUED FOR TOC