AI in Oil & Gas Market to 2027 - Global Analysis and Forecasts by Component (Hardware, Software, and Service); Application (Predictive Maintenance, Material Movement, Field Services, Production Planning, and Quality Control); Sector (Upstream, Midstream, & Downstream)
Pune, India -- (SBWIRE) -- 03/30/2019 -- 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.
The AI in Oil & Gas Market report aims to provide a 360-degree view of the market in terms of cutting-edge technology, key developments, drivers, restraints and future trends with impact analysis of these trends on the market for short-term, mid-term and long-term during the forecast period. Further, the report also covers key players profiling with detailed SWOT analysis, financial facts and key developments of products/service from the past three years.
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Companies profiled in this report includes, 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.
Worldwide 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 market trend. The report aims to provide an overview of global AI in Oil & Gas market with detailed market segmentation by product/application and geography. The global market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the AI in Oil & Gas players and offers key trends and opportunities in the market.
Key questions answered in the report include
- What will the market size and the growth rate be in 2027?
- What are the key factors driving the global AI in Oil & Gas market?
- What are the key market trends impacting the growth of the AI in Oil & Gas market?
- What are the challenges to market growth?
- Who are the key vendors in this market space?
- What are the market opportunities and threats faced by the vendors in the global AI in Oil & Gas market?
- Trending factors influencing the market shares of the Americas, APAC, and EMEA?
- What are the key outcomes of the five forces analysis of the AI in Oil & Gas market?
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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.
Reason to Buy:
- Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global AI in Oil & Gas Market
- Highlights key business priorities in order to assist companies to realign their business strategies.
- The key findings and recommendations highlight crucial progressive industry trends in the AI in Oil & Gas Market, thereby allowing players to develop effective long term strategies.
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
- Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
- Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.
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