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市場調查報告書

商品編碼

1622925

石油和天然氣分析市場：按地區劃分，2024-2031 年

Oil And Gas Analytics Market By Offering (Hardware, Software, Services), Deployment Mode (On-premise, Cloud-Based), Application (Upstream, Midstream, Downstream), End-User Industry (Oil Industry, Gas Industry), & Region For 2024-2031

出版日期: 2024年08月27日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

石油和天然氣分析市場評估，2024-2031

到2023年，石油和天然氣分析市場規模將達到65億美元，隨著製造業流程變得更加複雜，石油和天然氣產業的分析需求正在迅速增加。這是因為需要先進的工具從大型資料集中提取有價值的見解。採用數據分析的目的是改善決策、降低營運成本和提高資產績效，但物聯網和人工智慧等新技術也在影響這一趨勢，產值達 331.8 億美元，複合年增長率 (CAGR) 成長率為 22.6 2024 年至2031 年的百分比。

石油和天然氣分析市場：定義/概述

石油和天然氣分析是指在石油和天然氣領域使用尖端的數據分析方法、工具和技術來提高績效、優化營運並做出更好的決策。整個石油和天然氣價值鏈（包括勘探、生產、煉油、運輸、分銷和行銷）都會產生大量數據。必須收集、處理、分析和解釋這些數據。

透過利用包括感測器在內的各種數據來源，物聯網設備可以幫助收集生產數據、地質數據、營運數據、市場數據和歷史記錄。透過這種方式，石油和天然氣分析可以產生富有洞察力的資訊並幫助推動策略性舉措。

石油和天然氣分析有助於分析地質資料、儲層特性、鑽井作業、油井性能、生產率和資產性能，以改善工業運作。同樣，這些監控工具增強了 HSE 管理實踐並降低了營運風險。

促進石油和天然氣分析市場成長的關鍵因素有哪些？

由於行業運營的複雜性和規模不斷增加，石油和天然氣分析市場正在經歷顯著增長。隨著公司在充滿課題的環境中勘探和生產碳氫化合物，他們依賴複雜的數據分析工具作為管理和分析勘探、鑽井、生產、精煉和分銷活動中產生的大量數據的解決方案。分析解決方案可讓您優化營運、降低成本並改善決策流程。

全球能源需求的不斷增長刺激了分析解決方案的採用，以改善行業內的分配和營運。因此，這些解決方案提供預測性維護功能、資產性能監控、生產優化和供應鏈管理工具，以簡化營運、提高生產力並最大限度地提高獲利能力。

大數據分析、機器學習、人工智慧和雲端運算等數據分析技術的進步正在推動市場成長。預測分析模型可以預測設備故障、識別鑽井機會、優化油藏管理並改善能源交易策略，從而提高營運效率並節省成本。

監管要求和環境考量正在推動石油和天然氣行業採用分析解決方案。企業需要強大的分析功能來監控排放、管理廢棄物、執行風險評估並確保合規性。分析解決方案提供了追蹤關鍵績效指標、評估環境影響和實施永續實踐的工具，以應對監管課題並加強企業責任。

對數位轉型和工業 4.0 計畫的日益關注也推動了石油和天然氣產業對分析解決方案的需求。與 IoT 感測器、預測性維護系統、SCADA 系統和企業資源規劃 (ERP) 解決方案整合的分析平台可協助企業實現卓越營運、提高資產可靠性並推動營運創新。

石油和天然氣分析市場面臨哪些課題？

資料來源的複雜性和多樣性，以及與實施高階分析解決方案相關的高成本，預計會降低採用率。處理大量資料也會引發安全和隱私問題，因此需要具備資料科學、機器學習、人工智慧、領域知識和行業特定分析工具專業知識的熟練勞動力。所有這些課題都阻礙了先進分析解決方案和基礎設施的採用。

石油和天然氣分析市場需要強大的網路安全措施、數據加密、存取控制和數據治理框架，因為它需要與營運、儲備、合約、金融交易和智慧財產權相關的敏感數據，並且數據安全和隱私問題發揮著重要作用。此外，由於數據科學人才短缺，而且公司在招募、培訓和留住有才華的專業人員方面面臨課題，銷售正在放緩。對於希望利用分析進行策略決策和卓越營運的組織來說，縮小技能差距和建立數據驅動的文化是持續關注的問題。

遺留系統、專有軟體和新分析平台之間的互通性和相容性問題也為現代分析解決方案與現有 IT 基礎架構的整合和利用帶來了課題。因此，確保無縫資料流、系統整合、API 連接以及與不同資料格式和標準的兼容性需要適當的規劃、IT 架構設計以及IT 團隊、資料科學家和業務利益相關者之間的協作，市場面臨著額外的課題。

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.

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