New Study Focusing on AI in Oil & Gas Market CAGR of +12% by 2025: Key Futuristic Trends, Standardization, Competitive Analysis, Technology aspects, future outlook, And Key Players like IBM, Intel, Microsoft, Accenture, Google, Microsoft, Oracle, Numenta,

The AI in Oil & Gas Market to Grow steadily at a CAGR of +12% during the forecast period.

The growth of AI in Oil & Gas market can be attributed to the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, and growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs. Concerns regarding data security and cybersecurity are the major challenges faced by the players in this market.

The report on global AI in the oil and gas market is a complete overview of the market covering product definitions in various aspects, segmentation based on various parameters, and common supplier environments. Collect in-depth information and research methodologies. Combined with related charts and tables, you will also gain a better view of your global market.

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Companies Profiled in this report includes IBM, Intel, Microsoft, Accenture, Google, Microsoft, Oracle, Numenta, Sentient technologies, Inbenta, General Vision, Cisco, Infosys, Hortonworks, and Royal Dutch Shell.

The software division led AI in the oil and gas markets in 2016. In the oil and gas market, AI's software can be applied upstream of oil and gas exploration and production activities. In the oil and gas markets, AI's hardware segment is expected to grow rapidly during the forecast period from 2017 to 2022, driven by increasing demand for sophisticated hardware system configurations and components capable of handling large data volumes, (TPU), Graphic Processing Unit (GPU), Resistive Processing Unit (RPU), Field Programmable Gate Array (FPGA), and Visual Processing Unit (VPU)

This study lists major companies operating in the global market and highlights key trends that have been adopted by the company to maintain its dominance. Using the SWOT analysis and Porter's five force analysis tools, the strengths, weaknesses, opportunities, and threats of key companies were mentioned in the report.

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As the global AI in the oil and gas market is categorized on a variety of parameters, an in-depth classification of the market is also mentioned. Investigate factors that affect market growth and understand the report accurately. The report also includes profiles of key players operating in the global AI on the oil and gas market. Use SWOT analysis to analyze weaknesses and strengths. This helps us to provide visibility into the opportunities and threats that companies face during the forecast period.

The report also introduces the most prominent companies in the global AI field in the oil and gas market to provide valuable recommendations. The product portfolio of the profiled company is studied in detail. In addition, information is available through financial reports and strategies adopted over the past two years.

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Table of Contents

Global AI in Oil & Gas Market Research Report 2018

Chapter 1 Global 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
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast

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