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석유 및 가스 산업용 디지털 전환 시장 : 성장, 동향, COVID-19의 영향과 예측(2021-2026년)

Digital Transformation Market in The Oil and Gas Industry - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

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발행일 2022년 01월 상품코드 989410
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석유 및 가스 산업용 디지털 전환 시장 : 성장, 동향, COVID-19의 영향과 예측(2021-2026년) Digital Transformation Market in The Oil and Gas Industry - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)
발행일 : 2022년 01월 페이지 정보 : 영문

본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계 석유 및 가스 업계의 디지털 전환 시장 규모는 2021-2026년 10%의 CAGR로 추이할 것으로 예상됩니다. 디지털 전환은 과거 10년 이래 세계의 석유 및 가스 업계를 촉진하는 주요 동향 중 하나입니다. 이 변혁에 의해 오퍼레이션은 첨단 기능을 활용할 수 있습니다. AI, IoT, 빅데이터 등의 디지털 테크놀러지는 효율을 높이고 새로운 기회를 열어 중요한 자산의 예측 유지보수 효율을 개선하고, 이에 따라 위험한 태스크를 줄입니다.

미국에서는 2018년 10월에 1배럴 76달러를 넘는 4년간 최고치를 기록한 이후 석유 가격이 40% 하락하며 석유 및 가스 기업의 우려가 커지고 있습니다. 따라서 석유 및 가스 부문의 기업은 효율과 매출을 향상시키기 위해 최신 테크놀러지를 실험하고 있습니다. 석유 및 가스 운영에서 AI 등의 테크놀러지를 활용함으로써 기업은 육지 및 해저에서의 드릴을 가이드하는 알고리즘을 설계할 수 있습니다.

또한 애플리케이션 예측 분석 알고리즘은 석유 및 가스 업계 업스트림 부문 전체의 자동화를 촉진하고 있습니다. 이것은 주로 석유 및 가스 업계에서 빅데이터 테크놀러지의 수요 증가에 기인하고 있습니다.

또한 IoT 등의 감시 기기를 채택힘으로써 기업은 프로세스를 자동화 및 최적화하고, 안전성 및 규제 문제, 기기의 상시 감시를 항상 가능하게 하는 원격 접근 등의 리스크를 배제하며, 업계를 한층 더 디지털화할 수 있습니다.

석유 및 가스 산업용 디지털 전환 시장을 조사했으며, 시장 개요, 시장 성장요인 및 저해요인 분석, 테크놀러지별·센서별·지역별 시장 규모의 추이와 예측, 경쟁 구도, 주요 기업의 개요, 시장 기회 등의 정보를 정리하여 전해드립니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 시장 역학

  • 시장 개요
  • 시장 촉진요인
    • 운영을 최적화하고 안전성을 높이기 위해 파괴적 기술을 실장할 필요성의 증가
    • 규제 요건
  • 시장 억제요인
    • 휘발성 오일의 가격 상황
    • 선진국에서 정체한 산업 성장
  • 밸류체인 분석
  • Porter's Five Forces 분석
    • 신규 진출업체의 위협
    • 구매자의 교섭력/소비자의 교섭력
    • 공급 기업의 교섭력
    • 대체품의 위협
    • 경쟁 기업간 경쟁 관계
  • Covid-19의 업계에 대한 영향 평가

제5장 시장 세분화

  • 테크놀러지별
    • 빅데이터/분석과 클라우드 컴퓨팅
    • 사물인터넷(IoT)
    • 인공지능
    • 산업 제어 시스템(PLC, SCADA, HMI, DCS 등)
    • 확장현실(AR, VR, MR)
    • 필드 디바이스(센서, 모터, VFD 등)
  • 센서별
    • 업스트림
    • 미드스트림
    • 다운스트림
  • 지역별
    • 북미
    • 유럽
    • 아시아태평양
    • 라틴아메리카
    • 중동과 아프리카

제6장 경쟁 구도

  • 벤더의 시장 점유율
  • Investment Analysis
  • 기업 개요
    • Schneider Electric SE
    • Rockwell Automation Inc.
    • Honeywell International Inc.
    • ABB Ltd.
    • Mitsubishi Electric Corporation
    • Siemens AG
    • Omron Corporation
    • Yokogawa Electric Corporation
    • Fanuc Corporation
    • WFS Technologies Ltd
    • Magseis Fairfield ASA
    • Rohrback Cosasco Systems, Inc
    • IBM Corporation

제7장 시장 기회 및 향후 전망

KSA 21.02.23

Key Highlights

  • Digital Transformation Market in The Oil and Gas Industry is expected to register CAGR of 10% during 2021 - 2026. Digital transformation has been one the key trends driving the global Oil & Gas industry since the last decade, This transformation enable the operations to leverage advanced digital technologies such as AI, IoT, Big Data among others to drive efficiencies and thereby open up new opportunities for the same as it might involve digital twins which evidently improves the efficiency of predictive maintenance of the critical assets and thereby restricting the exposure of hazardous task to the workers in the facilities.
  • with oil and gas upfronting the energy sectors added with an increased focus on improving efficiencies and reducing downtime set as a priority by oil and gas companies has resulted in profits been slashed since the year 2014 majorly due to fluctuating oil prices globally. However, raising concerns over the environmental impact of energy production and consumption persist, companies are actively seeking to innovate their strategies and goals while reducing the environmental feedback
  • Additionally, the price of oil reduced by 40%, since hitting four-year highs of above USD 76 a barrel in October 2018, in the United States, nurturing concerns for oil and gas firms. Hence, the companies in the oil and gas sector are experimenting with contemporary technologies to increase their efficiency and revenue. By leveraging technologies such as AI in oil and gas operations, corporations can design algorithms to guide drills on landmass and ocean floor.
  • For instance, UK's first oil and gas National Data Repository (NDR), launched in March 2019, using AI to interpret data, which according to the OGA anticipations will assist to discover new oil and gas forecasts and permit more production from existing infrastructures.
  • Also, the application predictive analytic algorithm is fueling the automation across the upstream segment of the oil & gas industry majorly attributed to the increasing demand for big data technology in the oil & gas industry to augment E&P capabilities with the growing need for automation in the oil & gas industry there by increasing the investments through joint venture capitals.​
  • Additionally, Adoption the monitor equipment such as IoT will allow companies to further digitize the industry by automating and optimizing the processes and eliminating the risk associated including as safety and regulation issues, remote access by constantly enabling constant monitoring of the equipment.

Key Market Trends

Downstream Sector is Expected to Witness Major Market Share

  • Digital Transformation is considered as one the core innovations being used in leading the downstream operations of the oil & gas industry, the companies are focusing to increase the asset utilization by enhancing the manufacturing efficiency of the plants
  • The downstream operations of the oil and gas companies, including both petrochemicals and refining, have always adopted technology to improve its operations. These companies have developed and adopted innovative approaches that manage complex processes and interpret data to improve performance. The ongoing shift to becoming digital is expected to present even greater potential, given the strategic push by many companies to expand their downstream operations of the oil and gas value chain, especially petrochemicals
  • The major area of concern for the vendors is how to predict and prevent, or reduce, maintenance costs. The automation solutions that are being used for maintenance and turnaround planning tools use application performance management and AI-based simulation and can be easily added to an existing operational system. Moreover, the upgradation of sensor systems, to enable better predictive and prescriptive maintenance, can lead to long-term operational efficiencies
  • Multiple oil and gas companies are relying on technologies such as AI , IoT, Big Data, among others into their operations so as to improve their operations. For instance, Shell's downstream commercial business, that is responsible for the supply of oil and gas to the end consumer, is using AI technology to predict consumer demand for petroleum products, measure supply shortages, and recommend a mix of oil for a refining process.

Asia-Pacific to account for a significant share

  • In recent times, with the low crude oil price situation, the refinery capacity in the region has witnessed a record growth between 2014 and 2019. According to a 2019 report published by BP Statistical Review of World Energy, the region has the largest oil refining capacity in the world, processing almost 34.75 million barrels per day (BPD) in 2018
  • Given the long lead times and the massive capital outlay involved in the production of oil and gas, major players in the industry are looking to gain a competitive edge through transformational technology such as AI. For instance, Woodside, the largest Australian natural gas producer, deployed IBM Watson to run AI algorithms operations and search more than 25 million documents, retrieve content and benchmark against historical performance and suggest related information to anyone in the business.
  • Countries like China, India, Japan, and South Korea have one of the most active oil and downstream gas sector in the region, which together is responsible for over 78% of the oil refining capacity, with significant refineries deeply integrated with petrochemical production units, in the Asia Pacific region.
  • Also, countries such as Singapore are gaining over 10% refinery throughput in a year. This is providing the scope for expansion in current refineries, and possibly new projects are expected to drive the demand of digital transformation.
  • Furthermore, PetroChina, Asia' leading announced that its Daqing oilfield which is aimed to achieve 50 million tons of stable production for 20 years will leverage digital transformation by enabling technologies such as cloud computing, big data, IoT among others.
  • However, with the recent outbreak of COVID 19 has halted the global oil production with closures and uncertainty with China leading the way, For instance, Carbon Brief reported that oil refineries in operation at Shandong province decline from 71.4% in December 2019 to 38.9% in February 2019.

Competitive Landscape

The Global Digital Transformation Market in The Oil and Gas Industry is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with a prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging strategic collaborative initiatives, acquisitions to increase their market share and increase their profitability.

  • October 2019 - IBM introduced a new integrated supply chain suite, embedded with Watson AI and IBM Blockchain and open to developers, to help organizations make their supply chains smarter, more efficient and better able to make necessary decisions to adjust to disruptions and opportunities in a market where supplier networks are more complex and vulnerable.
  • September 2019- Schneider Electric announced the launch of its Eco Structure Power & Process in India to drive efficiency and augment profitability in the oil and gas sector. The company aims to address associated with the volatility in the oil and gas sector by reducing OpEx and CapEx by 20% to 30%. This System tables end-users to connect assets that are center of projects with assets that center of operations. Additionally, The company has also partnered with Microsoft to create commercial IoT solutions.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Need to Implement Disruptive Technologies to Optimize Operations & Increase Safety
    • 4.2.2 Regulatory Requirements
  • 4.3 Market Restraints
    • 4.3.1 Volatile Oil Price Situation
    • 4.3.2 Stagnant Industrial Growth in Developed Countries
  • 4.4 Value Chain Analysis
  • 4.5 Porters 5 Force Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry
  • 4.6 Assessment of Impact of Covid-19 on the Industry

5 MARKET SEGMENTATION

  • 5.1 Enabling Technologies
    • 5.1.1 Big Data/Analytics and Cloud Computing
    • 5.1.2 Internet of Things (IoT)
    • 5.1.3 Artificial Intelligence
    • 5.1.4 Industrial Control Systems (PLC, SCADA, HMI, DCS etc.)
    • 5.1.5 Extended Reality (AR, VR and MR)
    • 5.1.6 Field Devices (Sensors, Motors, VFD etc.)
  • 5.2 Sensor
    • 5.2.1 Upstream
    • 5.2.2 Midstream
    • 5.2.3 Downstream
  • 5.3 Geography
    • 5.3.1 North America
      • 5.3.1.1 US
      • 5.3.1.2 Canada
    • 5.3.2 Europe
      • 5.3.2.1 Germany
      • 5.3.2.2 UK
      • 5.3.2.3 France
      • 5.3.2.4 Rest of Europe
    • 5.3.3 Asia Pacific
      • 5.3.3.1 India
      • 5.3.3.2 China
      • 5.3.3.3 Japan
      • 5.3.3.4 Rest of Asia Pacific
    • 5.3.4 Latin America
      • 5.3.4.1 Brazil
      • 5.3.4.2 Argentina
    • 5.3.5 Middle East and Africa
      • 5.3.5.1 UAE
      • 5.3.5.2 Saudi Arabia
      • 5.3.5.3 Rest of Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Vendor Market Share
  • 6.2 Investment Analysis
  • 6.3 Company Profiles
    • 6.3.1 Schneider Electric SE
    • 6.3.2 Rockwell Automation Inc.
    • 6.3.3 Honeywell International Inc.
    • 6.3.4 ABB Ltd.
    • 6.3.5 Mitsubishi Electric Corporation
    • 6.3.6 Siemens AG
    • 6.3.7 Omron Corporation
    • 6.3.8 Yokogawa Electric Corporation
    • 6.3.9 Fanuc Corporation
    • 6.3.10 WFS Technologies Ltd
    • 6.3.11 Magseis Fairfield ASA
    • 6.3.12 Rohrback Cosasco Systems, Inc
    • 6.3.13 IBM Corporation

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

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