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Market Research Report

Global AI in Oil & Gas Market Size - Segmented By Application, Industry Activity, Service, and Region - Growth, Trends, and Forecast (2018 - 2023)

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Global AI in Oil & Gas Market Size - Segmented By Application, Industry Activity, Service, and Region - Growth, Trends, and Forecast (2018 - 2023)
Published: August 1, 2018 Content info: 101 Pages
Description

The Artificial Intelligence (AI) market in oil & gas is expected to register a CAGR of over 12.14%, during the forecast period of 2018-2023. The report profiles the types of AI applications, across the industrial activities in the energy sector.

The oil and gas industry operates across a high-risk environment, where the application of AI is expected to aid in streamlining the overall production process and controlling the wastage across the endpoints. Various IoT sensors exhibit multiple functions, which are integral components of upstream and downstream activities, across the industry. From exploration activities (upstream) to leak monitoring while transportation (downstream), there are opportunities for significant application of AI, in the industry. However, the increasing safety concerns among the workforce, especially the maintenance of aging pipeline infrastructure, poses pressure on the oil and gas manufacturers, to include gas and temperature sensors in case of fire emergencies. This factor increases the demand for several data analysis processes that use predictive modeling, across the oil and gas industry. The rising adoption of smart sensing technology as a part of industrial IoT is poised to provide considerable opportunities to the oil and gas industry, in order to curb the safety issues to a substantial extent.

For some cases in the oil and gas industry, very sparse data are available, such as records of equipment failures and maintenance events. Predicting the remaining useful life of equipment from such sparse data sets requires a combination of physics-based and deep learning models that consume significant computing power, for training and validation. According to Motorola Solutions, the demand for the global oil sector is expected to increase by about 33%, by 2035. The high demand is anticipated to lead to increased exploration activities, such as seismic surveying, which uses AI application, thus supporting the growth of AI across the oil and gas industry.

Predictive Maintenance Expected to Record Significant Growth

Machine learning-powered AI has emerged as an ideal solution for oil and gas companies, to accumulate large volumes of information in real time and translate data sets into actionable insights. AI solutions across the oil and gas sector help make more informed intelligent business decisions automatically, with sophisticated algorithms, predictive analytics, and machine learning capabilities.

Moreover, to stabilize the decision-making capabilities, AI solutions aid companies by overcoming challenges pertaining to the lack of ability to learn from data and understand several operational states. In addition, AI solutions that are powered by predictive analytics and cognitive security are projected to help protect the drilling rig from cyber-attacks and make sure that the equipment operates safely and securely, in accordance with specifications.

North America Expected to Account for the Largest Share in AI in Oil & Gas Market

Owing to the increasing adoption of AI technologies across the oilfield operators and service providers and the robust presence of prominent AI software and system suppliers, especially in the United States and Canada, the North American segment is anticipated to account for the largest share of the AI in the oil & gas market, over the forecast period.

Owing to the increasing inflow of investments in startups for AI implementation, which would further augment the demand for AI in the near future, the region is poised to be the fastest-growing segment. Some of the prominent players of the North American region are - Google LLC, IBM Corp., FuGenX Technologies Pvt. Ltd, Hortonworks Inc., Microsoft Corporation, and Intel Corp., among others.

Key Developments in the AI in Oil & Gas Market

Jun 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.

Apr 2017 - Huawei collaborated with PCITC (Petro-CyberWorks Information Technology Co.), a smart manufacturing platform, which is not only the two parties' first significant joint innovation since they inked strategic partnerships but also the core aspect of Smart Factory 2.0, within the Sinopec Group. This platform comprised of eight major capabilities, including centralized integration, IoT access, IT management and control, optimization, shared services, data processing and analysis, and AI.

AI in Oil & Gas Market Major Players:

Google LLC

IBM Corp

FuGenX Technologies Pvt Ltd

Hortonworks Inc.

Microsoft Corporation

Intel Corp.

Royal Dutch Shell PLC

PJSC Gazprom Neft

Huawei Technologies Co. Ltd

Nvidia Corp

Infosys Ltd

Reasons to Purchase AI in Oil & Gas Market Report

The impact of the growth of AI, in the energy and utility sector

An analysis of various perspectives of the market studied, with the help of Porter's five forces analysis

The segments that are expected to dominate the market studied

The regional analysis of the market studied, during the forecast period

The latest developments, market shares, and strategies employed by the major market players and key innovators

3-month analyst support along with the Market Estimate sheet (in Excel)

Customize AI in Oil & Gas Market Report

This report can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.

Table of Contents
Product Code: 61424

Table of Contents

1. Introduction

  • 1.1 Key Study Deliverables
  • 1.2 Market Definition
  • 1.3 Study Assumptions

2. Research Methodology

3. Executive Summary

4. Market Insights

  • 4.1 AI in Oil & Gas Market Overview
  • 4.2 Porter's Five Forces Analysis
    • 4.1.1 Bargaining Power of Suppliers
    • 4.1.2 Bargaining Power of Consumers
    • 4.1.3 Threat of New Entrants
    • 4.1.4 Threat of Substitute Products and Services
    • 4.1.5 Competitive Rivalry in the Industry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Industry Policies
  • 4.5 Technology Snapshots

5. Market Dynamics

  • 5.1 AI in Oil & Gas Market Drivers
    • 5.1.1 Growing Investment on Big Data across the Energy and Power Sector
    • 5.1.2 Increasing Need to Handle the Significant Volume of Data Generated from IoT
    • 5.1.3 Rising Trend of Automation to Reduce Production Cost and Streamline Wastage
  • 5.2 AI in Oil & Gas Market Restraints
    • 5.2.1 High Initial Investment Costs in AI Implementation
    • 5.2.2 Lack of Skilled Professional across the Oil and Gas Industry

6. AI in Oil and Gas Market Segmentation

  • 6.1 AI in Oil & Gas Market By Application
    • 6.1.1 Quality Control
    • 6.1.2 Production Planning
    • 6.1.3 Predictive Maintenance
    • 6.1.4 Supply Chain and Logistics
    • 6.1.5 Thermal Detection (Drone Analytics)
  • 6.2 AI in Oil & Gas Market By Industry Activity
    • 6.2.1 Upstream
      • 6.2.1.1 Exploration
      • 6.2.1.2 Production
    • 6.2.2 Midstream
      • 6.2.2.1 Transportation
      • 6.2.2.2 Storage
      • 6.2.2.3 Marketing
    • 6.2.3 Downstream
      • 6.2.3.1 Refinery
      • 6.2.3.2 Sales and Distribution
  • 6.3 AI in Oil & Gas Market By Service
    • 6.3.1 Professional
    • 6.3.2 Managed
  • 6.4 AI in Oil & Gas Market By Region
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East & Africa

7. AI in Oil & Gas Market Competitive Intelligence - Company Profiles

  • 7.1 Google LLC (for Total SA)
  • 7.2 IBM Corp. (for ExxonMobil)
  • 7.3 FuGenX Technologies Pvt Ltd
  • 7.4 Hortonworks Inc.
  • 7.5 Microsoft Corporation (Chevron)
  • 7.6 Intel Corp.
  • 7.7 Royal Dutch Shell PLC (Shell Virtual Assistant)
  • 7.8 PJSC Gazprom Neft
  • 7.9 Huawei Technologies Co. Ltd (Sinopec Group)
  • 7.10 Nvdia Corp. (Baker Hughes)
  • 7.11 Infosys Ltd

(List Not Exhaustive)"

8. AI in Oil & Gas Market Investment Analysis

9. Future of the AI in Oil and Gas Market

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