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石油・ガス産業向けデジタルツインの世界市場 (2025-2032年)

Global Digital Twins in the Oil and Gas Market - 2025-2032

出版日
ページ情報
英文 180 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
石油・ガス産業向けデジタルツインの世界市場 (2025-2032年)
出版日: 2025年04月10日
発行: DataM Intelligence
ページ情報: 英文 180 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

世界の石油・ガス産業向けデジタルツインの市場規模は、2024年の12億米ドルから、予測期間中はCAGR 11.20%で推移し、2032年には28億1,000万米ドルに達すると予測されています。

石油・ガス産業向けデジタルツインの市場は、IoT、AI、ビッグデータ分析の導入が進む中で、急速に成長しています。これらの技術は予知保全や業務効率の向上を目的として活用されており、デジタルツイン技術は資産のリアルタイム監視、シミュレーション、最適化を可能にし、ダウンタイムや運用リスクの削減に貢献します。特に上流および中流部門でのデジタルトランスフォーメーションへの投資が増加しており、それが市場拡大の原動力となっています。

石油・ガス産業向けデジタルツイン：市場動向

主要なトレンドには、生産の最適化、予知保全、運用の安全性、リアルタイムデータの統合、遠隔操作と仮想試験、持続可能性、国営石油会社 (NOC) や国際石油会社 (IOC) による導入の増加が含まれます。

市場力学

業務効率化とコスト削減への要求の高まり

操業効率とコスト削減に対する需要の高まりは、石油・ガス産業におけるデジタルツイン導入の大きな原動力となっています。デジタルツインにより、リアルタイムのモニタリング、予知保全、資産の最適化が可能になり、計画外のダウンタイムを削減し、機器の寿命を向上させることができます。さまざまな運転シナリオをシミュレートすることで、企業はリスクを最小化し、リソース配分を最適化し、全体的な生産性を向上させることができます。

当レポートでは、世界の石油・ガス産業向けデジタルツインの市場を調査し、市場概要、市場成長への各種影響因子の分析、各種区分・地域/主要国別の詳細分析、主要企業のプロファイルなどをまとめています。

目次

第1章 調査手法・調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
    • 抑制要因
    • 機会
    • 影響分析

第5章 業界分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制およびコンプライアンス分析
  • 持続可能性分析
  • 技術の進歩の分析
  • DMIオピニオン

第6章 提供区分別

  • 製品デジタルツイン
  • プロセスデジタルツイン
  • システムデジタルツイン

第7章 タイプ別

  • 記述的ツイン
  • 情報提供型ツイン
  • 予測型ツイン
  • 包括的ツイン
  • 自律型ツイン

第8章 展開モード別

  • クラウド
  • オンプレミス

第9章 オペレーション別

  • 上流
  • 中流
  • 下流

第10章 用途別

  • 探鉱および生産
  • 掘削作業
  • 貯留層管理
  • パイプライン管理
  • 精製作業
  • 資産パフォーマンス管理
  • その他

第11章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他
  • 南米
    • ブラジル
    • アルゼンチン
    • その他
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他
  • 中東・アフリカ

第12章 企業プロファイル

  • AVEVA Group Limited
  • Emerson Electric Co
  • Halliburton
  • Honeywell International Inc.
  • IBM
  • SLB
  • Microsoft Corporation
  • General Electric
  • Schneider Electric
  • Siemens Energy

第13章 付録

目次
Product Code: EP9462

Global digital twins in the oil and gas market reached US$ 1.2 billion in 2024 and are expected to reach US$ 2.81 billion by 2032, growing with a CAGR of 11.20% during the forecast period 2025-2032.

The global digital twins market in the oil and gas industry is experiencing rapid growth, driven by the increasing adoption of IoT, AI, and big data analytics for predictive maintenance and operational efficiency. Digital twin technology enables real-time monitoring, simulation, and optimization of assets, reducing downtime and operational risks. The market is expanding due to rising investments in digital transformation, particularly in upstream and midstream operations.

Global Digital Twins in the Oil and Gas Market Trend

The key trends in digital twin technology for the oil & gas market include production optimization, predictive maintenance, operational safety, real-time data integration, remote operations & virtual testing, sustainability, and increased adoption by NOCs & IOCs. For instance, in August 2024, Petrobras successfully tested a digital twin prototype developed by ESSS, a Brazilian company. This technology aims to enhance offshore production by approximately 1% through improved monitoring and simulation capabilities.

Dynamics

Increasing Demand for Operational Efficiency and Cost Reduction

The increasing demand for operational efficiency and cost reduction is a major driver of digital twin adoption in the oil and gas industry. Digital twins enable real-time monitoring, predictive maintenance, and asset optimization, reducing unplanned downtime and improving equipment lifespan. By simulating different operational scenarios, companies can minimize risks, optimize resource allocation, and enhance overall productivity.

Companies are advancing digital twin technologies to enhance production efficiency, reduce downtime, and lower operational costs. For instance, in June 2023, Honeywell launched Digital Prime, a cloud-based digital twin solution designed to track, manage, and test process control changes and system modifications. Digital Prime offers a cost-effective platform for frequent testing to reduce reactive maintenance and improve project execution without disrupting production systems.

High Implementation Costs

High implementation costs are a significant restraint for the adoption of digital twins in the oil and gas industry. The initial investment for setting up digital twin systems involves expensive hardware, such as sensors, IoT devices, and AI-driven platforms. Additionally, integrating digital twins with existing legacy systems requires technical resources and financial investment. The software and licensing fees for advanced simulation tools further add to the costs, while the need for a skilled workforce to operate and maintain these systems adds a financial burden.

Infrastructure costs, including real-time data processing and cloud computing, also contribute to the overall expenses. Companies often face challenges in determining a clear return on investment (ROI), with the benefits taking time to materialize, making it difficult to justify the upfront costs. Budget constraints, particularly among smaller firms, further limit their ability to invest in digital twin technology.

Segment Analysis

The global digital twins in the oil and gas market are segmented based on offering, type, deployment mode, operation, application and region.

Upstream Segment Dominates Digital Twin Market in Oil & Gas Due to Advanced Exploration, Drilling, and Production Optimization

In the global digital twins market for oil and gas, the upstream segment holds a significant share due to its reliance on advanced technologies for exploration, drilling, and production optimization. Digital twins enable real-time reservoir modeling, well performance analysis, and predictive maintenance, reducing operational risks and downtime.

In November 2024, Venture Builder VC launched the NOV Supernova Accelerator, a five-month program to drive digital transformation in upstream oil and gas. The program provides startups with direct access to NOV's R&D teams and business units, enabling them to test solutions and build long-term partnerships. This initiative fosters innovation and collaboration to address critical industry challenges.

Geographical Penetration

High Technology Adoption and Strong Presence of Key Industry Players in North America

North America holds a significant share in the global digital twins market for oil and gas due to its strong technological infrastructure and early adoption of digital innovations. The region is home to major oil and gas companies investing in AI, IoT, and cloud-based digital twin solutions to enhance operational efficiency. The presence of advanced shale gas exploration, deepwater drilling, and strict regulatory requirements further drive demand for predictive maintenance and asset optimization.

According to IEA, in 2023, the US directed approximately US$ 200 billion toward oil and gas investments, accounting for about 19% of the global total. This accelerates the adoption of digital twins by driving technological advancements and operational efficiencies. With increased capital, companies are leveraging digital twins to optimize exploration, drilling, and production processes, reducing downtime and improving asset performance.

Technological Advancement Analysis

Twin technology in the oil and gas market has advanced significantly, leveraging digital twins to enhance operational efficiency, predictive maintenance, and real-time monitoring. By integrating AI, IoT, and big data analytics, companies can simulate drilling conditions, optimize production, and reduce downtime. Digital twins improve asset management by enabling remote inspections and predictive failure analysis, minimizing risks and costs.

The adoption of cloud-based twin solutions facilitates seamless data exchange between offshore and onshore operations, improving decision-making. For instance, BP has been implementing its APEX digital twin system across global operations, including the North Sea and the Gulf of Mexico. This system enables engineers to simulate production systems, optimize operations, and predict future scenarios, leading to increased efficiency and output.

Competitive Landscape

The major global players in the market include AVEVA Group Limited, Emerson Electric Co, Halliburton, Honeywell International Inc., IBM, SLB, Microsoft Corporation, General Electric, Schneider Electric, Siemens Energy and others.

Key Developments

  • The upcoming Oil & Gas Digital Twin Conference and Exhibition is scheduled for May 14-15, 2025, in Houston, Texas. This event will explore the digital twin ecosystem and its role in achieving a net-zero future.
  • In July 2020, Doris Group, AVEVA, and Schneider Electric formed a Digital Twin Alliance to address complex digital transformation challenges in the upstream oil and gas sector. This collaboration focuses on integrating digital twin technologies to enhance asset performance and operational efficiency.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Offering
  • 3.2. Snippet by Type
  • 3.3. Snippet by Deployment Mode
  • 3.4. Snippet by Operation
  • 3.5. Snippet by Application
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Increasing Demand for Operational Efficiency and Cost Reduction
    • 4.1.2. Restraints
      • 4.1.2.1. High Implementation Costs
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory and Compliance Analysis
  • 5.5. Sustainability Analysis
  • 5.6. Technological Advancement Analysis
  • 5.7. DMI Opinion

6. By Offering

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 6.1.2. Market Attractiveness Index, By Offering
  • 6.2. Product digital twin*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Process digital twin
  • 6.4. System digital twin

7. By Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 7.1.2. Market Attractiveness Index, By Type
  • 7.2. Descriptive Twin*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Informative Twin
  • 7.4. Predictive Twin
  • 7.5. Comprehensive Twin
  • 7.6. Autonomous Twin

8. By Deployment Mode

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 8.1.2. Market Attractiveness Index, By Deployment Mode
  • 8.2. Cloud*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-premises

9. By Operation

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 9.1.2. Market Attractiveness Index, By Operation
  • 9.2. Upstream*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Midstream
  • 9.4. Downstream

10. By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. Exploration & Production*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Drilling Operations
  • 10.4. Reservoir Management
  • 10.5. Pipeline Management
  • 10.6. Refining Operations
  • 10.7. Asset Performance Management
  • 10.8. Others

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.8.1. US
      • 11.2.8.2. Canada
      • 11.2.8.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.8.1. Germany
      • 11.3.8.2. UK
      • 11.3.8.3. France
      • 11.3.8.4. Italy
      • 11.3.8.5. Spain
      • 11.3.8.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.8.1. Brazil
      • 11.4.8.2. Argentina
      • 11.4.8.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.8.1. China
      • 11.5.8.2. India
      • 11.5.8.3. Japan
      • 11.5.8.4. Australia
      • 11.5.8.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
    • 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

12. Company Profiles

  • 12.1. AVEVA Group Limited*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. Emerson Electric Co
  • 12.3. Halliburton
  • 12.4. Honeywell International Inc.
  • 12.5. IBM
  • 12.6. SLB
  • 12.7. Microsoft Corporation
  • 12.8. General Electric
  • 12.9. Schneider Electric
  • 12.10. Siemens Energy

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us