HTF MI recently introduced Global AI in Oil and Gas Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2023. The market Study is segmented by key regions which is accelerating the marketization. At present, the market is developing its presence and some of the key players from the complete study are IBM, Intel, Accenture, Google, Microsoft, Oracle, Oracle, Sentient technologies, Inbenta, General Vision, Cisco, FuGenX Technologies, Infosys, Hortonworks and Royal Dutch Shell etc.
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With increasing challenges faced by the oil and gas industry in the past for exploration and exploitation of hydrocarbons, a cross disciplinary approach is being rendered which requires some critical processes to be semi-automated and some to be fully automated. Artificial intelligence in oil and gas industry is also gaining interest of consumers across the globe, since data interpretation through it highlights important geological features such as faults, unconformity, folds and boundaries. According to Motorola Solutions, the demand for the global oil sector is expected to increase by about 33%, by 2035.. The market study is being classified by Type (Hardware , Software and Hybrid), by Application (Upstream , Downstream and Midstream) and major geographies with country level break-up that includes South America (Brazil, Argentina, Rest of South America) , Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific) , Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe) , MEA (Middle East, Africa) , North America (United States, Canada, Mexico) .
Competitive Landscape
IBM (United States) , Intel (United States) , Accenture (Republic of Ireland) , Google (United States) , Microsoft (United States) , Oracle (United States) , Oracle (United States) , Sentient technologies (United States) , Inbenta (United States) , General Vision (United States) , Cisco (United States) , FuGenX Technologies (United States) , Infosys (India) , Hortonworks (United States) and Royal Dutch Shell (Netherlands) are some of the key players profiled in the study.
“The next generation of competitive advantage in the energy marketplace will go to forward-thinking players who invest a lot on digital IoT and artificial intelligence capabilities like Cerebra from Flutura”
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Market Drivers
The surging incidents of oil & gas leakage from storage tanks and pipelines at production facilities
Increasing safety concerns among the workforce, especially the maintenance of aging pipeline infrastructure
Market Trend
Increasing investment in start-ups for AI implementation in Oil & Gas industry in various regions including Middle East, Africa and Others
Restraints
Ambiguous regulatory guidelines for AI in the Oil & Gas market
Opportunities
The rising adoption of smart sensing technology as a part of industrial IoT
The US Department of Transportation’s Pipeline and Hazardous Materials Safety Administration (PHMSA) has implemented Liquids Mega Rule in which it is important to install leak detection systems in all dangerous liquid pipelines.
In June 2018, Hortonworks Inc. launched Hortonworks Data Platform (HDP) 3.0, which delivers significant new enterprise features, including containerization for faster and easier deployment of applications and increased developer productivity. The new version of HDP enables customers to quickly, reliably, and securely obtain value from their data at scale, to drive business transformation
Key Target Audience
AI system providers
Environmental research institutes
AI manufacturers and suppliers
National and local government organizations
Government and research organizations
Others
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Have a look at some extracts from Table of Content
Introduction about Global AI in Oil and Gas
Global AI in Oil and Gas Market Size (Sales) Market Share by Type (Product Category) in 2017 AI in Oil and Gas Market by Application/End Users Global AI in Oil and Gas Sales (Volume) and Market Share Comparison by Applications (2013-2023) table defined for each application/end-users like [Upstream , Downstream and Midstream] Global AI in Oil and Gas Sales and Growth Rate (2013-2023) AI in Oil and Gas Competition by Players/Suppliers, Region, Type and Application AI in Oil and Gas (Volume, Value and Sales Price) table defined for each geographic region defined. Global AI in Oil and Gas Players/Suppliers Profiles and Sales Data
Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers
Market Sales, Revenue, Price and Gross Margin (2013-2018) table for each product type which include Hardware , Software and Hybrid AI in Oil and Gas Manufacturing Cost Analysis AI in Oil and Gas Key Raw Materials Analysis AI in Oil and Gas Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis Market Forecast (2018-2023) ……..and more in complete table of Contents
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