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Artificial Intelligence in Oil & Gas Market - Global Market Synopsis, Growth Factors, Industry Segmentation, Regional Analysis and Competitive Analysis 2017 - 2025

ID: 47080 January, 2018 Region : Global 100 Pages Reports Monitor

Global Artificial Intelligence in Oil & Gas market, by type (hardware, software and services), application (upstream, midstream and downstream), function (Field Service, Material Movement, Predictive Maintenance, Production Planning and Quality Control) forecast till 2025.

Market Scenario
Oil is one of the highly valued commodities in energy sector, however concern over environmental impact due to production and consumption of energy persist. Some of the AI solutions are top-down intelligent reservoir modeling, surrogate reservoir modeling, shale analytics and process optimisation. Increasing adaption of automation, pressure for reducing production cost and rise in investment for this market are some of the drivers responsible for growth of the market. Falling oil prices in global market is major concern for oil companies to maintain profit margin, this drives the adaptation of Ai in order to carry out planning & forecasting, drilling, remote logistic and maintenance management, helps in expanding the market. Security of generated data and cyber security are major concern factor challenging the players in the market.


Segmentation
The global AI in oil & gas market is segmented on the basis of type, application and function.
On the basis of type, the market is segmented into hardware, software and services.
On the basis of application, the market is segmented into upstream, midstream and downstream.
On the basis of function, the market is segmented into Field Service, Material Movement, Predictive Maintenance, Production Planning and Quality Control.


Regional Analysis
North America is a largest contributor to the market due to rising investment to developed effective infrastructure and increasing demand for automation and digitalisation, followed by Europe region. Middle East and Africa is expected to grow at higher rate in this market as discovery of new reservoir are there which increased the demand of AI.


Key Players
The key players in the market are: Accenture, Cisco, ExxonMobil, Google, IBM, Infosys, Intel, Microsoft, Oracle and Shell.


Segmentation
By Type
• Hardware
• Software
• Services By Application
• Upstream
• Midstream
• Downstream By Function
• Field Service
• Material Movement
• Predictive Maintenance
• Production Planning
• Quality Control By Region
• North America
• Europe
• Asia Pacific
• LAMEA

Research Scope

The study for Global Artificial Intelligence in Oil & Gas Market Survey and Trend Research 2018 will provide market size, estimates and forecast based on the following years:


Historic data: 2015 Base Year Estimate: 2016 Forecast: 2017 to 2025


The report has been categorized in two distinctive sections, where the first category titled as Market Overview provides a holistic view of the market, key trends, drivers, challenges/restraints or opportunities with their current and expected impact on the overall industry sales.
Our analyst implement, several qualitative tools such as Ansoff’s Matrix, PESTEL analysis, Porter’s five force analysis among other to interpret and represent key industry findings.
The second section of the study provides market size, estimates and forecast for key market segments and regional market. The final part of the report highlights key manufacturers/vendors operating in the associated market.


1. Introduction
1.1. Market Definition
1.2. Market Scope


2. Research Methodology
2.1. Primary Research
2.2. Secondary Sources
2.3. Assumptions & Exclusions


3. Market Overview
3.1. Research Report Segmentation & Scope
3.2. Key Market Trend Analysis
3.2.1. Market Drivers
3.2.2. Market Restraint/Challenges
3.2.3. Market Opportunities
3.3. Porter’s Five Forces Analysis
3.4. Potential Venture Avenues
3.5. Market Share Analysis, 2016


4. Base Type Overview
4.1. Introduction
4.2. Market Size & Forecast, 2015 to 2025
4.2.1. Hardware
4.2.2. Software
4.2.3. Services
(Note: The segments mentioned above are tentative in nature and are subject to change as the research progresses)


5. Function Overview
5.1. Introduction
5.2. Market Size & Forecast, 2015 to 2025
5.2.1. Predictive Maintenance & Machine Inspection
5.2.2. Material Movement
5.2.3. Production Planning
5.2.4. Field Services
5.2.5. Quality Control & Reclamation
(Note: The segments mentioned above are tentative in nature and are subject to change as the research progresses)


6. Application Overview
6.1. Introduction
6.2. Market Size & Forecast, 2015 to 2025
6.2.1. Upstream
6.2.2. Midstream
6.2.3. Downstream
(Note: The segments mentioned above are tentative in nature and are subject to change as the research progresses)


7. Regional Overview
7.1. Introduction
7.2. Market Size & Forecast, 2015 to 2025
7.2.1. North America
7.2.1.1. U.S.
7.2.1.2. Canada
7.2.1.3. Mexico
7.2.2. Europe
7.2.2.1. UK
7.2.2.2. Germany
7.2.2.3. France
7.2.2.4. Italy
7.2.2.5. Russia
7.2.2.6. Poland
7.2.2.7. Rest of Europe
7.2.3. Asia-Pacific
7.2.3.1. China
7.2.3.2. India
7.2.3.3. Japan
7.2.3.4. Australia
7.2.3.5. South Korea
7.2.3.6. Rest of Asia-Pacific
7.2.4. LAMEA
7.2.4.1. Saudi Arabia
7.2.4.2. UAE
7.2.4.3. South Africa
7.2.4.4. Rest of LAMEA
(Note: The segments mentioned above are tentative in nature and are subject to change as the research progresses)


8. Manufacturer/ Vendor Profile
8.1. The following attributes will be considered while profiling key manufacturers in this industry:
8.1.1. Company Overview
8.1.2. Financial Synopsis
8.1.3. Recent Developments
8.1.4. R&D Investments (if any)
8.1.5. Strategy Overview (Analyst Perspective)
8.1.6. Product Portfolio
8.2. Companies Profiled
8.2.1. IBM
8.2.2. Accenture
8.2.3. Google
8.2.4. Microsoft
8.2.5. Oracle
8.2.6. Intel
8.2.7. Numenta
8.2.8. Sentient Technologies
8.2.9. Inbenta
8.2.10. Cisco
8.2.11. Infosys
8.2.12. Royal Dutch Shell
(Note: The companies mentioned above are tentative in nature, and profiles of other market players not listed here can be included on request.)

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