石油・ガス分析市場：地域別、2024年～2031年

石油・ガス分析市場の評価、2024年～2031年

石油・ガス分析市場規模は2023年に65億米ドルと評価され、石油・ガス業界では製造プロセスの複雑化に伴い、分析需要が急増しています。この背景には、大規模なデータセットから貴重な洞察を引き出すための高度なツールの必要性があります。データアナリティクスの採用は、意思決定の改善、運用コストの削減、資産パフォーマンスの向上を目的としているが、IoTやAIなどの新技術もこの傾向に影響を与えており、2031年には331億8,000万米ドルに達する可能性があり、2024年から2031年までの（CAGR）成長率は22.6%です。

石油・ガス分析市場：定義/概要

石油・ガス部門に最先端のデータ分析手法、ツール、テクノロジーを活用し、パフォーマンスの向上、業務の最適化、より良い意思決定を行うことを「石油・ガス分析」と呼ぶ。石油・ガスのバリューチェーン全体（探査、生産、精製、輸送、流通、マーケティングの各過程を含む）では、膨大な量のデータが生成されます。これらのデータを収集し、処理し、分析し、解釈しなければならないです。

センサーを含むさまざまなデータソースを活用することで、モノのインターネット・デバイスは生産データ、地質データ、操業データ、市場データ、過去の記録を収集するのに役立ちます。このように、石油・ガス分析は洞察に満ちた情報を生成し、戦略的取り組みを推進するのに役立ちます。

石油・ガス分析は、地質データ、貯留層特性、掘削作業、坑井性能、生産率、資産性能の分析に役立ち、産業運営を改善します。同様に、これらのモニタリング・ツールは、HSE管理の実践を強化し、操業上のリスクを軽減します。

石油・ガス分析市場の成長に寄与する主な要因は？

石油・ガス分析市場は、業界における業務の複雑化と規模の拡大により、大きな成長を遂げています。企業が厳しい環境で炭化水素を探査・生産する中、探査、掘削、生産、精製、流通活動から生成される膨大な量のデータを管理・分析するためのソリューションとして、洗練されたデータ分析ツールに対する大きな需要が生じています。アナリティクス・ソリューションは、業務の最適化、コスト削減、意思決定プロセスの改善を可能にします。

世界のエネルギー需要の増加は、業界内の流通と運用を改善するための分析ソリューションの採用に拍車をかけています。そのため、これらのソリューションは、予知保全機能、資産パフォーマンスモニタリング、生産最適化、サプライチェーン管理ツールを提供し、業務の合理化、生産性の向上、収益性の最大化を図っています。

ビッグデータ分析、機械学習、人工知能、クラウドコンピューティングなどのデータ分析技術の進歩が市場の成長を促進しています。予測分析モデルは、機器の故障予測、掘削機会の特定、貯留層管理の最適化、エネルギー取引戦略の改善を可能にし、業務の効率化とコスト削減につながります。

規制要件と環境への配慮が、石油・ガス業界におけるアナリティクス・ソリューションの採用を後押ししています。企業は、排出量のモニタリング、廃棄物の管理、リスク評価の実施、規制遵守の徹底のために、堅牢なアナリティクス機能を必要としています。アナリティクス・ソリューションは、主要業績指標の追跡、環境への影響の評価、持続可能な慣行の導入のためのツールを提供し、規制上の課題に対処し、企業責任を強化します。

デジタルトランスフォーメーションとインダストリー4.0への取り組みへの注目の高まりも、石油・ガスセクターにおけるアナリティクス・ソリューションの需要を促進しています。IoTセンサー、予知保全システム、SCADAシステム、企業資源計画（ERP）ソリューションと統合されたアナリティクス・プラットフォームにより、企業はオペレーショナル・エクセレンスを達成し、資産の信頼性を向上させ、オペレーションにおけるイノベーションを推進することができます。

石油・ガス分析市場が直面する課題とは？

データソースの複雑さと多様性に加え、高度なアナリティクスソリューションの導入に伴うコストの高さが、導入率を低下させると予測されています。また、膨大な量のデータを扱うことで、セキュリティやプライバシーに関する懸念が高まるため、データサイエンス、機械学習、人工知能、専門分野の知識、業界固有のアナリティクスツールに関する専門知識を持つ熟練労働力の必要性が高まっています。これらすべての課題が、高度なアナリティクス・ソリューションとインフラの導入を抑制しています。

石油・ガス分析市場では、操業、埋蔵量、契約、金融取引、知的財産に関連する機密データが必要なため、堅牢なサイバーセキュリティ対策、データ暗号化、アクセス制御、データガバナンスの枠組みが必要であり、データセキュリティとプライバシーに関する懸念が重要な役割を果たしています。さらに、データサイエンスの人材が不足しており、企業は有能な専門家の採用、訓練、維持に課題を抱えているため、売上は伸び悩んでいます。アナリティクスを戦略的意思決定やオペレーショナル・エクセレンスに活用することを目指す組織にとって、スキルギャップを埋め、データ主導の文化を構築することは、継続的な懸念事項です。

レガシーシステム、専用ソフトウェア、新しいアナリティクスプラットフォーム間の相互運用性と互換性の問題も、既存のITインフラと最新のアナリティクスソリューションの統合と活用に課題をもたらしています。そのため、シームレスなデータフロー、システム統合、API接続、多様なデータ形式や標準との互換性を確保するには、適切な計画、ITアーキテクチャ設計、ITチーム、データサイエンティスト、ビジネス利害関係者間のコラボレーションが必要であり、市場はさらなる課題に直面しています。

目次

第1章 世界の石油・ガス分析市場：イントロダクション

• 市場のイントロダクション
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 石油・ガス分析の世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 石油・ガス分析の世界市場：オファリング別

• 概要
• ハードウェア
• ソフトウェア
• サービス
  • プロフェッショナル
  • インテグレーション
  • メンテナンス

第6章 石油・ガス分析の世界市場：展開モデル別

• 概要
• クラウドベース
• オンプレミス

第7章 石油・ガス分析の世界市場：用途別

• 概要
• 上流
  • 探査
  • 掘削
  • フィールド監視
  • 地震データ管理
  • 労働力管理
  • 貯留層エンジニアリング
  • 生産計画
• 中流
  • 輸送・ロジスティクス
  • パイプライン管理システム
  • 貯蔵最適化
• ダウンストリーム
  • 価格分析
  • 需要予測
  • 製油所管理
  • 流通管理
  • 資産管理

第8章 石油・ガス分析の世界市場：エンドユーザー産業別

• 概要
• 石油産業
  • 原油
  • 石油化学
  • 化学
• ガス産業
  • 天然ガス
  • その他

第9章 石油・ガス分析の世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第10章 世界の石油・ガス分析市場の競合情勢

• 概要
• 企業市場ランキング
• ベンダー情勢
• 主な発展戦略

第11章 企業プロファイル

• Hewlett-Packard
• Hitachi
• IBM
• Northwest Analytics
• Oracle
• Sap Ag
• SAS Institute
• Tableau Software
• Teradata
• Tibco Software

第12章 主な発展

• 製品の上市／開発
• 合併と買収
• 事業拡大
• パートナーシップと提携

第13章 付録

• 関連調査

Oil And Gas Analytics Market Valuation - 2024-2031

Oil And Gas Analytics Market size was valued at USD 6.5 Billion in 2023 and the oil and gas industry is experiencing a surge in the demand for analytics due to the increasing complexity of the manufacturing processes. This is driven by the need for advanced tools to extract valuable insights from large datasets. The adoption of data analytics aims to improve decision-making, reduce operational costs, and enhance asset performance, while new technologies like IoT and AI are also influencing this trend and can reach to USD 33.18 Billion by 2031, and growing at a (CAGR) of 22.6% from 2024 to 2031.

Oil And Gas Analytics Market: Definition/ Overview

The use of cutting-edge data analytics methods, tools, and technology to the oil and gas sector in order to improve performance, optimize operations, and make better decisions is known as "oil and gas analytics." Huge volumes of data are produced along the whole oil and gas value chain, including during the processes of exploration, production, refining, transportation, distribution, and marketing. These data must be gathered, processed, analyzed, and interpreted.

Utilizing a variety of data sources, including sensors, Internet of Things devices help collect production data, geological data, operational data, market data, and historical records. Thus, oil and gas analytics helps generate insightful information and propels strategic efforts.

oil and gas analytics help to analyze geological data, reservoir characteristics, drilling operations, well performance, production rates, and asset performance improving the industrial operations. Similarly, these monitoring tools enhance HSE management practices and mitigate operational risks.

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What are the Key Factors Contributing to the Growth of the Oil And Gas Analytics Market?

The Oil And Gas Analytics Market is experiencing significant growth due to the increasing complexity and scale of operations in the industry. As companies explore and produce hydrocarbons in challenging environments, there is a huge demand for sophisticated data analytics tools as these solutions help companies manage and analyze vast amounts of data generated from exploration, drilling, production, refining, and distribution activities. The analytics solutions enable optimizing operations, reducing costs, and improving decision-making processes.

Increase in global demand for energy is fueling the adoption of analytics solutions for improving the distribution and operation within the industries. Hence, these solutions offer predictive maintenance capabilities, asset performance monitoring, production optimization, and supply chain management tools to streamline operations, enhance productivity, and maximize profitability.

Advancements in data analytics technologies such as big data analytics, machine learning, artificial intelligence, and cloud computing are driving market growth. Predictive analytics models can forecast equipment failures, identify drilling opportunities, optimize reservoir management, and improve energy trading strategies, leading to operational efficiencies and cost savings.

Regulatory requirements and environmental concerns is propelling the adoption of analytics solutions in the oil and gas industry. Companies need robust analytics capabilities for monitoring emissions, managing waste, conducting risk assessments, and ensuring regulatory compliance. Analytics solutions provide tools to track key performance indicators, assess environmental impact, and implement sustainable practices, addressing regulatory challenges and enhancing corporate responsibility.

The increasing focus on digital transformation and Industry 4.0 initiatives is also driving demand for analytics solutions in the oil and gas sector. Analytics platforms integrated with IoT sensors, predictive maintenance systems, SCADA systems, and enterprise resource planning (ERP) solutions enable companies to achieve operational excellence, improving asset reliability, and driving innovation in their operations.

What are the Challenges Faced by Oil And Gas Analytics Market?

The complexity and diversity of data sources along with the high costs associated with implementing advanced analytics solutions is projected to lower its adoption rate. Also, the handling of vast amounts of data increases concerns related to security and privacy concerns, thereby, surging the need for a skilled workforce with expertise in data science, machine learning, artificial intelligence, domain knowledge, and industry-specific analytics tools. All these challenges are restraining the implementation of advanced analytics solutions and infrastructure.

Data security and privacy concerns play crucial role in the Oil And Gas Analytics Market, as sensitive data related to operations, reserves, contracts, financial transactions, and intellectual property is necessitating robust cybersecurity measures, data encryption, access controls, and data governance frameworks. Additionally, a shortage of data science talent, and companies facing challenges in recruiting, training, and retaining qualified professionals are likely to limit the sales. Bridging the skills gap and building a data-driven culture are ongoing concerns impacting organizations aiming to leverage analytics for strategic decision-making and operational excellence.

Interoperability and compatibility issues between legacy systems, proprietary software, and new analytics platforms also pose challenges in integrating and leveraging existing IT infrastructure with modern analytics solutions. Thus, for ensuring seamless data flow, system integration, API connectivity, and compatibility with diverse data formats and standards requires proper planning, IT architecture design, and collaboration between IT teams, data scientists, and business stakeholders, further challenging the market.

Category-Wise Acumens

How is Cloud Hosted Supporting the Overall Growth of the Oil And Gas Analytics Market?

Cloud-based analytics solutions are dominating in the oil and gas market due to their scalability, flexibility, and cost-effectiveness. As these platforms handle vast amounts of data from various sources, enabling real-time analysis, predictive modeling, and actionable insights. They eliminate the need for significant upfront investments in infrastructure, hardware, and IT resources, making them suitable for smaller companies or those with limited IT capabilities.

Cloud-based platforms also facilitate seamless collaboration, data sharing, and accessibility across geographically dispersed teams and locations. They also offer enhanced security features, data encryption, and compliance with industry standards and regulations, addressing concerns about data privacy and confidentiality in the oil and gas sector.

The dominance of the cloud-based segment in the Oil And Gas Analytics Market is driven by its scalability, cost-effectiveness, flexibility, collaboration capabilities, and robust security features, making it a preferred choice for advancing analytics operations and encouraging digital transformation.

What is the Role of Upstream in the Market for Oil and Gas Analytics?

The upstream segment is dominating in the Oil And Gas Analytics Market owing to its critical role in optimizing exploration and production operations. This is usually the most preferred as it generates vast amounts of data that can be used to improve efficiency, reduce costs, and maximize hydrocarbon recovery.

The integration of analytics solutions in this segment helps focus on aspects such as reservoir characterization, well performance analysis, drilling optimization, production forecasting, and asset management. Thus, the complexity and technical challenges associated with upstream operations make it a significant market for analytics solutions. These solutions help interpret geological data, identify drilling opportunities, optimize well designs, and predict reservoir behavior, minimizing exploration risks and enhancing drilling success rates.

Additionally, the upstream segment is fueling innovation and investment in analytics technologies due to the economic impact of successful exploration and production activities. Advanced analytics tools like machine learning algorithms, predictive modeling, and real-time monitoring enable upstream companies to make data-driven decisions, improve reservoir management practices, optimize production processes, and increase operational efficiency.

Country/Region-wise Acumens

Will the Oil And Gas Analytics Market Witness Growth in Asia Pacific?

Increasing exploration and production activities in countries like China, India, Australia, Indonesia, and Malaysia is driven by rising energy demand from rapid urbanization, and industrialization occurring in Asia Pacific. These countries are investing in expanding their infrastructure and leveraging advanced technologies, leading to a need for analytics solutions to optimize operations, improve efficiency, and reduce costs.

The adoption of digital transformation initiatives, Industry 4.0 technologies, and IoT is also driving demand for analytics solutions, enabling the region experience rapid growth. Companies in this Asia Pacific are encouraging the use of data analytics to monitor equipment performance, predict maintenance needs, optimize production processes, and enhance decision-making capabilities helping them grow substantially.

Additionally, regulatory pressures, environmental concerns, and sustainability push for better HSE management, regulatory compliance, and emissions reduction are driving companies to invest in analytics solutions. The Asia Pacific region is home to a growing ecosystem of technology providers, analytics firms, and solution integrators, contributing to the market's rapid growth.

How Europe is Growing the Oil And Gas Analytics Market?

Europe is a major player in the Oil And Gas Analytics Market. The growth in the region generally owing to the presence of established companies, technological innovation, and regulatory frameworks.

Also, the increasing emphasis on energy transition, sustainability, and reducing carbon emissions drives the adoption of analytics solutions for optimizing operations, improving asset performance, and enhancing environmental performance. The incorporation of analytics solutions help companies meet regulatory requirements, manage health, safety, and environmental risks, and ensure operational excellence.

Europe is also a hub for technological innovation and digital transformation, using advanced analytics tools like AI, machine learning, big data analytics, and IoT to extract actionable insights from vast data. These insights enable better decision-making, cost optimization, and operational efficiency.

Furthermore, the region's diverse energy landscape, including offshore production, renewable energy integration, and energy storage, provides opportunities for analytics solutions manufacturers to offer customized solutions for different industry segments. Offshore operations analytics focus on asset integrity, subsea monitoring, and production optimization, while renewable energy integration solutions focus on grid management, energy forecasting, and asset performance.

Competitive Landscape

The oil and gas market's competitive landscape includes international oil corporations (IOCs), national oil companies (NOCs), independent exploration and production businesses, service providers, and technology companies. Some of the industry's big businesses have a global presence, while others focus primarily on certain regions.

Some of the prominent players operating in Oil And Gas Analytics Market include:

Hewlett-Packard, Hitachi, Oracle, Tableau Software, Teradata, Tibco Software, Cognizant, Rolta India,

Quantzig, Alteryx, IBM, Northwest Analytics, Teradata, SAP Ag, SAS Institute, and Cloud Software Group.

Latest Developments

In December 2022, Eyrus, a leading work-site intelligence platform for construction and oil and gas industries, has launched "Eyrus, Evolved," an end-to-end solution to assist general contractors in making better decisions related to progress, risk, and safety, marking the platform's 7500 registered companies milestone.

In August 2022, Shell builds an integrated data platform to accelerate energy transition. This new Shell.ai platform named Databricks forms the basis of multinational oil and gas company Shell's new Unified Data Analytics Platform. it is increasing efficiency across its operations by better use of data across the company.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL OIL AND GAS ANALYTICS MARKET

• 1.1 Introduction of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL OIL AND GAS ANALYTICS MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL OIL AND GAS ANALYTICS MARKET, BY OFFERING

• 5.1 Overview
• 5.2 Hardware
• 5.3 Software
• 5.4 Services
  • 5.4.1 Professional
  • 5.4.2 Integration
  • 5.4.3 Maintenance

6 GLOBAL OIL AND GAS ANALYTICS MARKET, BY DEPLOYMENT MODEL

• 6.1 Overview
• 6.2 Cloud-based
• 6.3 On-premise

7 GLOBAL OIL AND GAS ANALYTICS MARKET, BY APPLICATION

• 7.1 Overview
• 7.2 Upstream
  • 7.2.1 Exploration
  • 7.2.2 Drilling
  • 7.2.3 Field Surveillance
  • 7.2.4 Seismic data management
  • 7.2.5 Workforce Management
  • 7.2.6 Reservoir Engineering
  • 7.2.7 Production Planning
• 7.3 Midstream
  • 7.3.1 Transport and Logistics
  • 7.3.2 Pipeline Management System
  • 7.3.3 Storage Optimization
• 7.4 Downstream
  • 7.4.1 Pricing Analytics
  • 7.4.2 Demand Forecasting
  • 7.4.3 Refinery Management
  • 7.4.4 Distribution Management
  • 7.4.5 Asset Management

8 GLOBAL OIL AND GAS ANALYTICS MARKET, BY END-USER INDUSTRY

• 8.1 Overview
• 8.2 Oil Industry
  • 8.2.1 Crude oil
  • 8.2.2 Petrochemical
  • 8.2.3 Chemical
• 8.3 Gas Industry
  • 8.3.1 Natural Gas
  • 8.3.2 Others

9 GLOBAL OIL AND GAS ANALYTICS MARKET, BY GEOGRAPHY

• 9.1 Overview
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
  • 9.2.3 Mexico
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 The U.K.
  • 9.3.3 France
  • 9.3.4 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 Japan
  • 9.4.3 India
  • 9.4.4 Rest of Asia Pacific
• 9.5 Rest of the World
  • 9.5.1 Latin America
  • 9.5.2 Middle East and Africa

10 GLOBAL OIL AND GAS ANALYTICS MARKET COMPETITIVE LANDSCAPE

• 10.1 Overview
• 9.2 Company Market ranking
• 10.3 Vendor Landscape
• 10.4 Key Development Strategies

11 COMPANY PROFILES

• 11.1 Hewlett-Packard
  • 11.1.1 Overview
  • 11.1.2 Financial Performance
  • 11.1.3 Product Outlook
  • 11.1.4 Key Developments
• 11.2 Hitachi
  • 11.2.1 Overview
  • 11.2.2 Financial Performance
  • 11.2.3 Product Outlook
  • 11.2.4 Key Developments
• 11.3 IBM
  • 11.3.1 Overview
  • 11.3.2 Financial Performance
  • 11.3.3 Product Outlook
  • 11.3.4 Key Developments
• 11.4 Northwest Analytics
  • 11.4.1 Overview
  • 11.4.2 Financial Performance
  • 11.4.3 Product Outlook
  • 11.4.4 Key Developments
• 11.5 Oracle
  • 11.5.1 Overview
  • 11.5.2 Financial Performance
  • 11.5.3 Product Outlook
  • 11.5.4 Key Developments
• 11.6 Sap Ag
  • 11.6.1 Overview
  • 11.6.2 Financial Performance
  • 11.6.3 Product Outlook
  • 11.6.4 Key Developments
• 11.7 SAS Institute
  • 11.7.1 Overview
  • 11.7.2 Financial Performance
  • 11.7.3 Product Outlook
  • 11.7.4 Key Developments
• 11.8 Tableau Software
  • 11.8.1 Overview
  • 11.8.2 Financial Performance
  • 11.8.3 Product Outlook
  • 11.8.4 Key Developments
• 11.9 Teradata
  • 11.9.1 Overview
  • 11.9.2 Financial Performance
  • 11.9.3 Product Outlook
  • 11.9.4 Key Developments
• 11.10 Tibco Software
  • 11.10.1 Overview
  • 11.10.2 Financial Performance
  • 11.10.3 Product Outlook
  • 11.10.4 Key Developments

12 KEY DEVELOPMENTS

• 12.1 Product Launches/Developments
• 12.2 Mergers and Acquisitions
• 12.3 Business Expansions
• 12.4 Partnerships and Collaborations

13 Appendix

• 13.1 Related Research