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石油和天然气分析市场：按地区划分，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个工作天内

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简介目录

石油和天然气分析市场评估，2024-2031

到2023年，石油和天然气分析市场规模将达到65亿美元，随着製造业流程变得更加复杂，石油和天然气产业的分析需求正在迅速增加。这是因为需要先进的工具从大型资料集中提取有价值的见解。采用数据分析的目的是改善决策、降低营运成本和提高资产绩效，但物联网和人工智慧等新技术也在影响这一趋势，产值达 331.8 亿美元，复合年增长率 (CAGR) 成长率为 22.6 2024 年至2031 年的百分比。

石油和天然气分析市场：定义/概述

石油和天然气分析是指在石油和天然气领域使用尖端的数据分析方法、工具和技术来提高绩效、优化营运并做出更好的决策。整个石油和天然气价值链（包括勘探、生产、炼油、运输、分销和行销）都会产生大量数据。必须收集、处理、分析和解释这些数据。

透过利用包括感测器在内的各种数据来源，物联网设备可以帮助收集生产数据、地质数据、营运数据、市场数据和历史记录。透过这种方式，石油和天然气分析可以产生富有洞察力的资讯并帮助推动策略性举措。

石油和天然气分析有助于分析地质资料、储层特性、钻井作业、油井性能、生产率和资产性能，以改善工业运作。同样，这些监控工具增强了 HSE 管理实践并降低了营运风险。

促进石油和天然气分析市场成长的关键因素有哪些？

由于行业运营的复杂性和规模不断增加，石油和天然气分析市场正在经历显着增长。随着公司在充满课题的环境中勘探和生产碳氢化合物，他们依赖复杂的数据分析工具作为管理和分析勘探、钻井、生产、精炼和分销活动中产生的大量数据的解决方案。分析解决方案可让您优化营运、降低成本并改善决策流程。

全球能源需求的不断增长刺激了分析解决方案的采用，以改善行业内的分配和营运。因此，这些解决方案提供预测性维护功能、资产性能监控、生产优化和供应链管理工具，以简化营运、提高生产力并最大限度地提高获利能力。

大数据分析、机器学习、人工智慧和云端运算等数据分析技术的进步正在推动市场成长。预测分析模型可以预测设备故障、识别钻井机会、优化油藏管理并改善能源交易策略，从而提高营运效率并节省成本。

监管要求和环境考量正在推动石油和天然气行业采用分析解决方案。企业需要强大的分析功能来监控排放、管理废弃物、执行风险评估并确保合规性。分析解决方案提供了追踪关键绩效指标、评估环境影响和实施永续实践的工具，以应对监管课题并加强企业责任。

对数位转型和工业 4.0 计画的日益关注也推动了石油和天然气产业对分析解决方案的需求。与 IoT 感测器、预测性维护系统、SCADA 系统和企业资源规划 (ERP) 解决方案整合的分析平台可协助企业实现卓越营运、提高资产可靠性并推动营运创新。

石油和天然气分析市场面临哪些课题？

资料来源的复杂性和多样性，以及与实施高阶分析解决方案相关的高成本，预计会降低采用率。处理大量资料也会引发安全和隐私问题，因此需要具备资料科学、机器学习、人工智慧、领域知识和行业特定分析工具专业知识的熟练劳动力。所有这些课题都阻碍了先进分析解决方案和基础设施的采用。

石油和天然气分析市场需要强大的网路安全措施、数据加密、存取控制和数据治理框架，因为它需要与营运、储备、合约、金融交易和智慧财产权相关的敏感数据，并且数据安全和隐私问题发挥着重要作用。此外，由于数据科学人才短缺，而且公司在招募、培训和留住有才华的专业人员方面面临课题，销售正在放缓。对于希望利用分析进行策略决策和卓越营运的组织来说，缩小技能差距和建立数据驱动的文化是持续关注的问题。

遗留系统、专有软体和新分析平台之间的互通性和相容性问题也为现代分析解决方案与现有 IT 基础架构的整合和利用带来了课题。因此，确保无缝资料流、系统整合、API 连接以及与不同资料格式和标准的兼容性需要适当的规划、IT 架构设计以及IT 团队、资料科学家和业务利益相关者之间的协作，市场面临着额外的课题。

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