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AI in Oil & Gas Market Trends and Competitive Analysis, by Top Key Vendors like Accenture, Cisco Systems, FuGenX Technologies, Google, Hortonworks, IBM, Intel, Microsoft

Press release   •   Apr 11, 2019 20:07 IST

The implementation of Artificial Intelligence (AI) in the oil & gas industry helps in streamlining the whole production process as well as wastage control across the different operations. Since the operations in oil & gas industry include several hazardous tasks, the safety of the workers is one of the crucial requirement, and particularly the aging pipeline infrastructure maintenance puts immense pressure on the oil & gas companies. Thus, there is a need for several data analysis process that leverage predictive modeling across the operations of the oil & gas industry. The implementation of AI solutions is thereby, gaining popularity in the oil & gas industry.

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The "Global AI in Oil & Gas Market Analysis to 2027" is a specialized and in-depth study of the AI in Oil & Gas industry with a focus on the global AI in Oil & Gas market trend. The report aims to provide an overview of the global AI in Oil & Gas market with detailed market segmentation by component, application, sector and geography. The global AI in Oil & Gas market is expected to witness high growth during the forecast period. The report includes key statistics on the market status of the leading market players and offers key trends and opportunities in the market.

Some of the key players influencing the AI in Oil & Gas market are Accenture, Cisco Systems, Inc., FuGenX Technologies Pvt Ltd, Google LLC, Hortonworks Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, Nvidia Corporation, and Oracle Corporation among others.

The AI in Oil & Gas market research report offers a detailed overview of the industry including both qualitative and quantitative information. It also provides market size and forecast till 2027 for overall AI in Oil & Gas market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

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Besides this, the report analyzes factors affecting AI in Oil & Gas market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions considered in the global AI in Oil & Gas market report. Further, the report also includes ecosystem analysis for the AI in Oil & Gas market.

The overall AI in Oil & Gas market size has been derived using both primary and secondary source. The research process begins with an exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the market. Also, primary interview were conducted with industry participants and commentators in order to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers and national sales managers, and external consultant such as valuation experts, research analysts and key opinion leaders specializing in the AI in Oil & Gas market.

Key highlights of the global AI in Oil & Gas market for the forecast years 2019-2027:

  • CAGR of the market during the forecast period 2019-2027
  • Detailed information on factors that will accelerate the growth of the AI in Oil & Gas market during the next five years
  • Precise estimation of the global AI in Oil & Gas market size and its contribution to the parent market
  • Accurate predictions on upcoming trends and changes in consumer behavior
  • Growth of the AI in Oil & Gas industry across the Americas, APAC, and EMEA
  • A thorough analysis of the market’s competitive landscape and detailed information on several vendors
  • Comprehensive details on the factors that will challenge the growth of the AI in Oil & Gas companies

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