1. 方法論と範囲
1.1. 調査方法
1.2. 調査目的と調査範囲
2. 定義と概要
3. エグゼクティブ・サマリー
3.1. コンポーネント別スニペット
3.2. オペレーション別スニペット
3.3. デプロイメント別スニペット
3.4. 地域別スニペット
4. ダイナミクス
4.1. 影響要因
4.1.1. 推進要因
4.1.1.1. スケーラビリティの向上とイノベーション
4.1.1.2. IoTセンサーの採用
4.1.2. 阻害要因
4.1.2.1. 業務効率化とイノベーション
4.1.3. 機会
4.1.4. 影響分析
5. 産業分析
5.1. ポーターのファイブフォース分析
5.2. サプライチェーン分析
5.3. 価格分析
5.4. 規制分析
5.5. ロシア・ウクライナ戦争の影響分析
5.6. DMI意見
6. COVID-19分析
6.1. COVID-19の分析
6.1.1. COVID-19以前のシナリオ
6.1.2. COVID-19開催中のシナリオ
6.1.3. COVID-19後のシナリオ
6.2. COVID-19中の価格ダイナミクス
6.3. 需給スペクトラム
6.4. パンデミック時の市場に関連する政府の取り組み
6.5. メーカーの戦略的取り組み
6.6. 結論
7. コンポーネント別
7.1. はじめに
7.1.1. 市場規模分析および前年比成長率分析（%）, コンポーネント別
7.1.2. 市場魅力度指数（コンポーネント別
7.2. ソリューション*市場
7.2.1. 導入
7.2.2. 市場規模分析と前年比成長率分析(%)
7.2.3. エンタープライズ資産管理（EAM）
7.2.4. エンタープライズアプリケーション
7.2.5. 環境・衛生・安全（EHS）
7.2.6. セキュリティ
7.2.7. その他
7.3. サービス
7.3.1. コンサルティングおよびインプリメンテーション
7.3.2. トレーニング、サポート、メンテナンス
8. 運用
8.1. 導入
8.1.1. 市場規模分析と前年比成長率分析（%）, オペレーション別
8.1.2. 市場魅力度指数（オペレーション別
8.2. 上流*分野
8.2.1. 序論
8.2.2. 市場規模分析と前年比成長率分析(%)
8.3. 中流
8.4. 川下
9. 展開別
9.1. 導入
9.1.1. 市場規模分析および前年比成長率分析（%）、デプロイメント別
9.1.2. 市場魅力度指数（デプロイメント別
9.2. プライベートクラウド
9.2.1. 導入
9.2.2. 市場規模分析と前年比成長率分析(%)
9.3. パブリッククラウド
9.4. ハイブリッド
10. 地域別
10.1. はじめに
10.1.1. 地域別市場規模分析および前年比成長率分析(%)
10.1.2. 市場魅力度指数、地域別
10.2. 北米
10.2.1. 序論
10.2.2. 主な地域別ダイナミクス
10.2.3. 市場規模分析および前年比成長率分析(%)、コンポーネント別
10.2.4. 市場規模分析とYoY成長率分析(%)、オペレーション別
10.2.5. 市場規模分析およびYoY成長率分析(%)、デプロイメント別
10.2.6. 市場規模分析および前年比成長率分析（%）, 国別
10.2.6.1. 米国
10.2.6.2. カナダ
10.2.6.3. メキシコ
10.3. ヨーロッパ
10.3.1. はじめに
10.3.2. 主な地域別ダイナミクス
10.3.3. 市場規模分析および前年比成長率分析(%)、コンポーネント別
10.3.4. 市場規模分析とYoY成長率分析(%)、オペレーション別
10.3.5. 市場規模分析およびYoY成長率分析(%)、デプロイメント別
10.3.6. 市場規模分析および前年比成長率分析（%）, 国別
10.3.6.1. ドイツ
10.3.6.2. イギリス
10.3.6.3. フランス
10.3.6.4. イタリア
10.3.6.5. スペイン
10.3.6.6. その他のヨーロッパ
10.4. 南米
10.4.1. はじめに
10.4.2. 地域別主要市場
10.4.3. 市場規模分析および前年比成長率分析(%)、コンポーネント別
10.4.4. 市場規模分析とYoY成長率分析(%)、オペレーション別
10.4.5. 市場規模分析およびYoY成長率分析(%)、デプロイメント別
10.4.6. 市場規模分析および前年比成長率分析（%）, 国別
10.4.6.1. ブラジル
10.4.6.2. アルゼンチン
10.4.6.3. その他の南米諸国
10.5. アジア太平洋
10.5.1. 序論
10.5.2. 主な地域別ダイナミクス
10.5.3. 市場規模分析および前年比成長率分析(%)、コンポーネント別
10.5.4. 市場規模分析とYoY成長率分析（%）, オペレーション別
10.5.5. 市場規模分析およびYoY成長率分析(%)、デプロイメント別
10.5.6. 市場規模分析および前年比成長率分析（%）, 国別
10.5.6.1. 中国
10.5.6.2. インド
10.5.6.3. 日本
10.5.6.4. オーストラリア
10.5.6.5. その他のアジア太平洋地域
10.6. 中東・アフリカ
10.6.1. 序論
10.6.2. 主な地域別ダイナミクス
10.6.3. 市場規模分析および前年比成長率分析(%)、コンポーネント別
10.6.4. 市場規模分析とYoY成長率分析(%)、オペレーション別
10.6.5. 市場規模分析およびYoY成長率分析（%）, 展開別
11. 競争環境
11.1. 競争シナリオ
11.2. 市場ポジショニング／シェア分析
11.3. M&A分析
12. 企業プロフィール
12.1. Citrix Systems*
12.1.1. 会社概要
12.1.2. 製品ポートフォリオと説明
12.1.3. 財務概要
12.1.4. 主な展開
12.2. Microsoft Corporation
12.3. Accenture PLC
12.4. Cisco Systems Inc.
12.5. Oracle Corporation
12.6. SAP SE
12.7. Capgemini S.A.
12.8. Hewlett-Packard Company
12.9. IBM Corporation
リストは網羅的ではありません
13. 付録
13.1. 会社概要とサービス
13.2. お問い合わせ
Global Oil and Gas Cloud Application Market reached US$ 10.72 billion in 2023 and is expected to reach US$ 28.17 billion by 2031, growing with a CAGR of 12.84% during the forecast period 2024-2031.
The oil and gas industry manages a substantial amount of data, which is highly sensitive as it contributes to the national revenue of numerous countries. Cloud apps are solutions utilizing a Software-as-a-Service platform for the storage and retrieval of essential data. Software solutions provided by cloud-based service providers for the oil and gas industry are referred to as oil and gas cloud apps.
The solutions encompass a variety of options, ranging from web hosting services given by local vendors to integrated technologies supplied by multinational corporations with superior infrastructure. The principal factors propelling the oil and gas cloud applications market include the increasing adoption of cloud-based technology, the growing demand for real-time field data and the implementation of cloud solutions that provide real-time data access and secure storage of vast data volumes.
Middle East and Africa is projected to experience the highest compound annual growth rate (CAGR) during the projection period. The significant growth rate in the region is due to the remarkable adoption of cloud-enabled technology. Middle East and Africa is the predominant producer and exporter of oil and gas. Following a significant decline in oil prices during 2015–16, the region is pursuing digitalization and other initiatives to reduce expenses and enhance overall production efficiency.
Dynamics
Rising Scalability and Innovation
Cloud solutions for oil and gas are essential for enterprises as they provide scalable resources, cost efficiency and increased flexibility. It enables organizations to store, manage and analyze data remotely, resulting in decreased hardware expenses and enhanced cooperation. Moreover, cloud computing facilitates accelerated innovation, allowing organizations to swiftly implement new apps and services without substantial initial expenditure.
Cloud computing is utilized in the oil and gas sector to optimize operations, augment decision-making and refine data management. It facilitates real-time data processing, enhancing asset management and predictive maintenance. Cloud solutions enhance collaboration among multinational teams, optimize supply chain processes and offer the scalability required to manage substantial volumes of seismic and geological data. This results in enhanced efficiency in exploration, production and distribution operations within the industry.
Adoption Of IoT Sensors
Oil and gas companies are progressively employing Internet of Things (IoT) sensors and devices for remote monitoring and management of equipment. These sensors can monitor temperature, pressure and vibration in real time. Sensors on offshore oil rigs can perpetually monitor the condition of pumps and pipelines. Maintenance personnel can be reached upon the discovery of anomalies, facilitating preventive maintenance and minimizing unanticipated downtime.
Shell, a leading global energy corporation, has adopted digital transformation. Cloud-based technologies and IoT sensors have been implemented on their oil rigs to monitor equipment health and enhance safety. Shell realized a 10% reduction in operational costs and a 20% increase in equipment uptime through these digital initiatives.
Moreover, predictive maintenance facilitated by cloud-based data analytics and IoT can result in substantial cost savings. IBM asserts that predictive maintenance can reduce maintenance costs by as much as 25% and unscheduled downtime by up to 50%. The oil and gas sector possesses a significant opportunity to enhance operational efficiency, augment safety, reduce expenses and mitigate environmental impact via digital transformation.
Operational Efficiency And Innovation
Oil and gas enterprises implementing cloud computing have substantial obstacles concerning data security. The shift to cloud-based solutions presents vulnerabilities that may expose important operational data to cyber attacks, resulting in potential breaches and illegal access.
Integrating cloud computing with pre-existing on-premises systems and other technologies can be intricate. Oil and gas industries frequently utilize legacy systems and achieving seamless connectivity with the cloud may pose technological difficulties. The oil and gas sector frequently functions in isolated and inhospitable locations where communication is restricted. Cloud computing need dependable internet connections for real-time data processing, which can be challenging to attain in these areas.
Segment Analysis
The global oil and gas cloud application market is segmented based on component, operation, deployment type and region.
Techniques, Technology and Resource Assessment In The Upstream Sector
Oil and gas exploration constitutes a crucial component of the upstream sector. Petroleum exploration necessitates very advanced techniques and the technology utilized in this field is evolving swiftly. Exploration typically commences in regions with significant resource potential, often attributable to the local geology and established adjacent petroleum resources.
In a high-potential region, additional investigation is conducted to define a resource. The geophysical and geochemical analysis is conducted with techniques such as induced polarization (IP) surveys, drilling and assaying and electrical currents, among others. The objective during the exploration phase is to identify and assess the potential of a resource.
Exploratory wells are drilled in areas that exhibit potential for resource hosting to assess the resource. In the oil and gas industry, test drilling is a crucial element of the exploration phase. Should the exploratory well prove successful, the subsequent action is to develop wells and extract the resource. Upstream companies also manage the wells that extract crude oil or natural gas from the subsurface.
Geographical Penetration
Digital Transformation, Data Privacy and Sustainability Initiatives In Europe
Europe possesses the biggest market share owing to the increasing demand for oil and gas cloud applications and the escalating necessity for digital transformation among both large and small enterprises. The United Kingdom, because to its early adoption of cloud technology, dominates the European market, trailed by Denmark, Italy and Spain. The region anticipates utilizing cloud computing technology to decrease expenses and improve operational efficiency.
The area possesses enormous oil and gas deposits, especially in the Norwegian belt and the North Sea. Equinor, a Norwegian global energy firm, exemplifies a European oil and gas company that has implemented cloud technologies. Cloud-based data analytics and machine learning were employed to enhance drilling operations in the North Sea. Equinor improved drilling precision, minimized downtime and achieved cost savings by employing cloud technology to analyze real-time drilling data from distant sites.
Moreover, Europe enforces stringent data privacy regulations, including the General Data Protection Regulation (GDPR). Oil and gas companies operating in Europe were required to ensure that their cloud solutions adhered to these regulations, leading to the extensive implementation of secure and compliant cloud services. European oil and gas corporations were also apprehensive about environmental sustainability.
Competitive Landscape
The major global players in the market include Citrix Systems, Microsoft Corporation, Accenture PLC, Cisco Systems Inc. oracle Corporation, SAP SE, Capgemini S.A., Hewlett-Packard Company and IBM Corporation.
Russia-Ukraine War Impact Analysis
The Russia-Ukraine conflict has profoundly affected the global oil and gas industry, resulting in supply deficiencies, escalated prices and intensified geopolitical tensions. These considerations have expedited the necessity for oil and gas firms to implement novel solutions, such as cloud applications, to improve operational efficiency and reduce risks. Utilizing cloud technologies enables organizations to enhance market data analysis, streamline supply chain operations and fast adapt to fluctuating conditions, which is essential in an uncertain economy.
The conflict has compelled other nations to reassess their energy security and reliance on Russian oil and gas. This has expedited investments in alternative energy sources and technologies, compelling oil and gas corporations to implement digital tools, such as cloud applications, for enhanced resource management and strategic planning. The shift towards energy independence highlights the significance of real-time data analytics, enabling enterprises to make educated decisions in a swiftly changing environment, hence increasing the demand for cloud-based solutions in the industry.
By Component
• Solutions
o Enterprise Asset Management (EAM)
o Enterprise Applications
o Environmental, Health and Safety (EHS)
o Security
o Others
• Services
o Consulting and Implementation
o Training, Support and Maintenance
By Operation
• Upstream
• Midstream
• Downstream
By Deployment
• Private Cloud
• Public Cloud
• Hybrid
By Region
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o France
o Italy
o Spain
o Rest of Europe
• South America
o Brazil
o Argentina
o Rest of South America
• Asia-Pacific
o China
o India
o Japan
o Australia
o Rest of Asia-Pacific
• Middle East and Africa
Key Developments
• In September 2023, Microsoft and Oracle enhanced their partnership to offer Oracle Database Services on Oracle Cloud Infrastructure within Microsoft Azure.
• In September 2023, Cisco announced the launch of Cisco Secure Application (formerly known as Security Insights for Cloud Native Application Observability) on the Cisco Full-Stack Observability Platform, enabling organizations to integrate application and security teams for the secure development and deployment of modern applications.
• In October 2023, KBC, a Yokogawa Company, introduced the KBC Acuity Industrial Cloud Suite, a novel cloud distribution platform for its software and solutions. This product aims to consolidate KBC's diverse portfolio of technology and services to tackle difficulties including energy transition, process optimization, value chain optimization and asset management. It concentrates on process industries including oil and gas, petrochemicals and refining.
Why Purchase the Report?
• To visualize the global oil and gas cloud application market segmentation based on component, operation, deployment and region, as well as understand key commercial assets and players.
• Identify commercial opportunities by analyzing trends and co-development.
• Excel spreadsheet containing a comprehensive dataset of the oil and gas cloud application market, covering all levels of segmentation.
• PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
• Product mapping available as excel consisting of key products of all the major players.
The global oil and gas cloud application market report would provide approximately 59 tables, 50 figures and 206 pages.
Target Audience 2024
• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies
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 Component
3.2. Snippet By Operation
3.3. Snippet By Deployment
3.4. Snippet By Region
4. Dynamics
4.1. Impacting Factors
4.1.1. Drivers
4.1.1.1. Rising Scalability and Innovation
4.1.1.2. Adoption of IoT Sensors
4.1.2. Restraints
4.1.2.1. Operational Efficiency and Innovation
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 Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion
6. COVID-19 Analysis
6.1. Analysis of COVID-19
6.1.1. Scenario Before COVID-19
6.1.2. Scenario During COVID-19
6.1.3. Scenario Post COVID-19
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion
7. By Component
7.1. Introduction
7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
7.1.2. Market Attractiveness Index, By Component
7.2. Solutions*
7.2.1. Introduction
7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.2.3. Enterprise Asset Management (EAM)
7.2.4. Enterprise Applications
7.2.5. Environmental, Health and Safety (EHS)
7.2.6. Security
7.2.7. Others
7.3. Services
7.3.1. Consulting and Implementation
7.3.2. Training, Support and Maintenance
8. By Operation
8.1. Introduction
8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
8.1.2. Market Attractiveness Index, By Operation
8.2. Upstream*
8.2.1. Introduction
8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Midstream
8.4. Downstream
9. By Deployment
9.1. Introduction
9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
9.1.2. Market Attractiveness Index, By Deployment
9.2. Private Cloud*
9.2.1. Introduction
9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Public Cloud
9.4. Hybrid
10. By Region
10.1. Introduction
10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
10.1.2. Market Attractiveness Index, By Region
10.2. North America
10.2.1. Introduction
10.2.2. Key Region-Specific Dynamics
10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.2.6.1. US
10.2.6.2. Canada
10.2.6.3. Mexico
10.3. Europe
10.3.1. Introduction
10.3.2. Key Region-Specific Dynamics
10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.3.6.1. Germany
10.3.6.2. UK
10.3.6.3. France
10.3.6.4. Itlay
10.3.6.5. Spain
10.3.6.6. Rest of Europe
10.4. South America
10.4.1. Introduction
10.4.2. Key Region-Specific Dynamics
10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.4.6.1. Brazil
10.4.6.2. Argentina
10.4.6.3. Rest of South America
10.5. Asia-Pacific
10.5.1. Introduction
10.5.2. Key Region-Specific Dynamics
10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
10.5.6.1. China
10.5.6.2. India
10.5.6.3. Japan
10.5.6.4. Australia
10.5.6.5. Rest of Asia-Pacific
10.6. Middle East and Africa
10.6.1. Introduction
10.6.2. Key Region-Specific Dynamics
10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Operation
10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
11. Competitive Landscape
11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis
12. Company Profiles
12.1. Citrix Systems*
12.1.1. Company Overview
12.1.2. Product Portfolio and Description
12.1.3. Financial Overview
12.1.4. Key Developments
12.2. Microsoft Corporation
12.3. Accenture PLC
12.4. Cisco Systems Inc.
12.5. Oracle Corporation
12.6. SAP SE
12.7. Capgemini S.A.
12.8. Hewlett-Packard Company
12.9. IBM Corporation
LIST NOT EXHAUSTIVE
13. Appendix
13.1. About Us and Services
13.2. Contact Us
❖ 世界の石油＆ガスクラウドアプリケーション市場に関するよくある質問(FAQ) ❖
・石油＆ガスクラウドアプリケーションの世界市場規模は？
→DataM Intelligence社は2023年の石油＆ガスクラウドアプリケーションの世界市場規模を107.2億米ドルと推定しています。
・石油＆ガスクラウドアプリケーションの世界市場予測は？
→DataM Intelligence社は2031年の石油＆ガスクラウドアプリケーションの世界市場規模を281.7億米ドルと予測しています。
・石油＆ガスクラウドアプリケーション市場の成長率は？
→DataM Intelligence社は石油＆ガスクラウドアプリケーションの世界市場が2024年～2031年に年平均12.8%成長すると予測しています。
・世界の石油＆ガスクラウドアプリケーション市場における主要企業は？
→DataM Intelligence社は「Citrix Systems, Microsoft Corporation, Accenture PLC, Cisco Systems Inc. oracle Corporation, SAP SE, Capgemini S.A., Hewlett-Packard Company and IBM Corporation.など ...」をグローバル石油＆ガスクラウドアプリケーション市場の主要企業として認識しています。
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