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 2016. 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 (2017 to 2022), mainly due to the increasing requirement for sophisticated hardware system configurations and components capable of handling massive data, including, but not limited to Tensor Processor Unit (TPU), Graphic Processing Unit (GPU), Resistive Processing Unit (RPU), Field Programmable Gate Array (FPGA), and Visual Processing Unit (VPU) to install software-based AI capabilities.
The Global Artificial Intelligence (AI) In Oil & Gas Market is estimated to grow at a CAGR of +12% during forecast period.
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Artificial Intelligence (AI) In Oil & Gas market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.
Top Companies Profiled in this Report includes, 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), Royal Dutch Shell (Netherlands)
After studying key companies, the report focuses on the startups contributing towards the growth of the market. Possible mergers and acquisitions among the startups and key organizations are identified by the report’s authors in the study. Most companies in the Artificial Intelligence (AI) In Oil & Gas market are currently engaged in adopting new technologies, strategies, product developments, expansions, and long-term contracts to maintain their dominance in the global Artificial Intelligence (AI) In Oil & Gas market. With the advent of new technologies on a regular basis, players are striving hard to incorporate the latest technology to gain a competitive edge above the rest.
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For a detailed competitive analysis, the Global Artificial Intelligence (AI) In Oil & Gas Market is segmented on the basis of region, application, and product type. By region, the global sales market is divided into Asia-pacific, Europe, Latin America, the Middle East and Africa, and North America. Major industries are concentrating on distributing their products and services across various provinces. Moreover, acquisitions and unions from some of the leading administrations are on the cards in the near future. Efforts are being taken by most of the companies to improve their research and development activities to introduce innovations. All these factors are predicted to propel the Global Artificial Intelligence (AI) In Oil & Gas Market.
The report provides insights on the following pointers:
– Market Penetration: Comprehensive information on the product portfolios of the top players in the Artificial Intelligence (AI) In Oil & Gas market.
– Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market
– Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market
– Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies
– Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Artificial Intelligence (AI) In Oil & Gas market
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Table of Contents
Global Artificial Intelligence (AI) In Oil & Gas Market Research Report
Chapter 1 Artificial Intelligence (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
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 Artificial Intelligence (AI) In Oil & Gas Market Forecast