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市场调查报告书
商品编码
1514788

全球石油和天然气分析市场规模研究，按服务（专业、云端、整合）、部署模式（本地、云端）、应用程式（上游、中游、下游）和 2022-2032 年区域预测

Global Oil and Gas Analytics Market Size Study, by Service (Professional, Cloud, Integration), by Deployment Mode (On-premises, Cloud), by Application (Upstream, Midstream, Downstream) and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年，全球石油和天然气分析市场价值约为 123 亿美元，预计在 2024-2032 年预测期内将以超过 23.40% 的健康成长率成长。在采用旨在提高营运效率和决策的工业 4.0 原则的推动下，石油和天然气行业目前正在经历深刻的数位转型。先进的分析解决方案使公司能够利用即时资料，从而优化勘探和生产流程、最大限度地减少停机时间并提高整体资产绩效。预测性维护已成为该行业的一个重要趋势，其中分析工具分析设备性能资料，以在潜在故障发生之前预测它们，从而实现主动维护并减少停机时间。这不仅降低了营运成本，还提高了安全性和可靠性。

随着石油和天然气行业产生的资料量和种类激增，这些资料的整合和视觉化变得至关重要。分析平台促进无缝资料整合并提供直觉的视觉化，为决策者提供可行的见解，使他们能够即时做出明智的选择。在上游领域，透过分析进行先进的油藏表征越来越受到重视。透过分析地质和地球物理资料，公司可以优化油藏管理、提高钻井效率并最大限度地提高碳氢化合物采收率。

由于对分析的需求不断增加、数位化的快速增长以及企业采用先进技术来满足不断增长的石油和天然气业务的需求，预计该市场将激增。油田分析可以识别众多变数中的模式，从而提高效能、可靠性和可扩展性。此外，云端运算、机器学习和人工智慧的创新预计将在预测期内推动市场成长。

油基助剂领域由于其在农业应用中的独特优势，预计将呈现显着的成长速度。这些助剂增强活性成分的溶解度和分散性，确保在植物表面上更好的覆盖和渗透。此外，它们还有助于降低表面张力，使农业化学品更好地黏附和吸收到植物组织上，从而提高整体性能和有效性。

从地理来看，在数位化工具和高效技术系统的大量投资的推动下，北美占据了市场的主导份额。该地区越来越多地采用分析解决方案来提高成本效益和劳动生产力，加上油气产业资本支出的增加，将对市场成长产生积极影响。然而，预计亚太地区的市场在预测期内将以最快的速度成长。

本报告中包含的主要市场参与者包括：

  • SAP系统公司
  • 微软公司
  • 日立美国有限公司
  • 甲骨文公司
  • 美国认知技术解决方案
  • 凯捷
  • 埃森哲公司
  • 思科系统公司
  • 蒂博科软体
  • IBM（国际商业机器公司）

目录

第 1 章：全球石油与天然气分析市场执行摘要

  • 全球石油天然气分析市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按服务
    • 按部署模式
    • 按申请
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球石油与天然气分析市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包含与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球石油与天然气分析市场动态

  • 市场驱动因素
    • 石油和天然气产业分析需求的成长
    • 不断增长的油田项目
    • 石油和天然气产业采用基于云端的解决方案
  • 市场挑战
    • 数据复杂性和集成
    • 遗留基础设施
    • 网路安全威胁
    • 人才短缺
    • 成本压力和投资报酬率问题
    • 监理合规性
    • 复杂的地缘政治格局
  • 市场机会
    • 对数据品质和整合的投资
    • 基础设施现代化
    • 加强网路安全措施
    • 策略人才发展
    • 展现投资报酬率和成本管理
    • 遵守法规
    • 地缘政治不确定性的情境规划

第 4 章：全球石油与天然气分析市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的 5 力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角

第 5 章：2022-2032 年全球石油与天然气分析市场规模及服务预测

  • 细分仪表板
  • 全球石油和天然气分析市场：2022 年和 2032 年服务收入趋势分析
    • 专业的
    • 云
    • 一体化

第 6 章：2022-2032 年全球石油与天然气分析市场规模及依部署模式预测

  • 细分仪表板
  • 全球石油和天然气分析市场：2022 年和 2032 年部署模式收入趋势分析
    • 本地
    • 云

第 7 章：2022-2032 年全球石油与天然气分析市场规模及应用预测

  • 细分仪表板
  • 全球石油和天然气分析市场：2022 年和 2032 年应用收入趋势分析
    • 上游
    • 中游
    • 下游

第 8 章：2022-2032 年全球石油与天然气分析市场规模及按地区预测

  • 北美石油和天然气分析市场
    • 美国石油与天然气分析市场
      • 2022-2032 年服务细分规模与预测
      • 2022-2032 年部署模式细分规模与预测
      • 2022-2032 年应用细分规模与预测
    • 加拿大石油与天然气分析市场
  • 欧洲石油与天然气分析市场
    • 英国石油与天然气分析市场
    • 德国石油与天然气分析市场
    • 法国石油与天然气分析市场
    • 西班牙石油与天然气分析市场
    • 义大利石油和天然气分析市场
    • 欧洲其他地区石油和天然气分析市场
  • 亚太地区石油与天然气分析市场
    • 中国石油与天然气分析市场
    • 印度石油和天然气分析市场
    • 日本石油与天然气分析市场
    • 澳洲石油与天然气分析市场
    • 韩国石油和天然气分析市场
    • 亚太地区其他地区石油和天然气分析市场
  • 拉丁美洲石油与天然气分析市场
    • 巴西石油与天然气分析市场
    • 墨西哥石油与天然气分析市场
    • 拉丁美洲其他地区石油和天然气分析市场
  • 中东和非洲石油和天然气分析市场
    • 沙乌地阿拉伯石油和天然气分析市场
    • 南非石油与天然气分析市场
    • 中东和非洲其他地区石油和天然气分析市场

第 9 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • SAP SE
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • Microsoft Corporation
    • Hitachi America, Ltd.
    • Oracle Corporation
    • Cognizant Technology Solutions US
    • Capgemini
    • Accenture plc
    • Cisco System, Inc.
    • Tibco Software
    • IBM (International Business Machines Corporation)

第 10 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

The Global Oil and Gas Analytics Market is valued approximately at USD 12.30 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 23.40% over the forecast period 2024-2032. The oil and gas industry is currently undergoing a profound digital transformation, driven by the adoption of Industry 4.0 principles aimed at enhancing operational efficiency and decision-making. Advanced analytics solutions are empowering companies to harness real-time data, thereby optimizing exploration and production processes, minimizing downtime, and enhancing overall asset performance. Predictive maintenance has emerged as a critical trend within the sector, where analytics tools analyze equipment performance data to predict potential failures before they occur, enabling proactive maintenance and reducing downtime. This not only cuts operational costs but also bolsters safety and reliability.

As the volume and variety of data generated in the oil and gas industry surge, the integration and visualization of this data have become paramount. Analytics platforms that facilitate seamless data integration and offer intuitive visualizations empower decision-makers with actionable insights, enabling them to make informed choices in real-time. In the upstream segment, advanced reservoir characterization through analytics is gaining prominence. By analyzing geological and geophysical data, companies can optimize reservoir management, improve drilling efficiency, and maximize hydrocarbon recovery.

The market is predicted to proliferate due to the increasing demand for analytics, rapid growth in digitalization, and the adoption of advanced technologies by enterprises to meet the needs of the growing oil and gas business. Analytics in oilfields allows for the identification of patterns among numerous variables, enhancing performance, reliability, and scalability. Moreover, innovations in cloud computing, machine learning, and artificial intelligence are expected to drive market growth during the forecast period.

The oil-based adjuvants segment is expected to exhibit a significant growth rate owing to its unique advantages in agricultural applications. These adjuvants enhance the solubility and dispersal of active ingredients, ensuring better coverage and penetration on plant surfaces. Additionally, they help reduce surface tension, enabling better adhesion and absorption of agricultural chemicals onto plant tissues, thus improving overall performance and effectiveness.

In terms of geography, North America holds a dominant share of the market, driven by substantial investments in digitalization tools and highly efficient technology systems. The region's increasing adoption of analytical solutions to boost cost-effectiveness and labor productivity, coupled with rising capital expenditure in the O&G industry, will positively influence market growth. Whereas, the market in Asia Pacific is anticipated to grow at the fastest rate over the forecast period.

Major market players included in this report are:

  • SAP SE
  • Microsoft Corporation
  • Hitachi America, Ltd.
  • Oracle Corporation
  • Cognizant Technology Solutions U.S.
  • Capgemini
  • Accenture plc
  • Cisco System, Inc.
  • Tibco Software
  • IBM (International Business Machines Corporation)

The detailed segments and sub-segment of the market are explained below:

By Service:

  • Professional
  • Cloud
  • Integration

By Deployment Mode:

  • On-premises
  • Cloud

By Application:

  • Upstream
  • Midstream
  • Downstream

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Oil and Gas Analytics Market Executive Summary

  • 1.1. Global Oil and Gas Analytics Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Service
    • 1.3.2. By Deployment Mode
    • 1.3.3. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Oil and Gas Analytics Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Oil and Gas Analytics Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Rise in Demand for Analytics in Oil & Gas Industry
    • 3.1.2. Growing Oilfield Projects
    • 3.1.3. Adoption of Cloud-Based Solutions in Oil & Gas Industry
  • 3.2. Market Challenges
    • 3.2.1. Data Complexity and Integration
    • 3.2.2. Legacy Infrastructure
    • 3.2.3. Cybersecurity Threats
    • 3.2.4. Talent Shortage
    • 3.2.5. Cost Pressures and ROI Concerns
    • 3.2.6. Regulatory Compliance
    • 3.2.7. Complex Geopolitical Landscape
  • 3.3. Market Opportunities
    • 3.3.1. Investment in Data Quality and Integration
    • 3.3.2. Modernization of Infrastructure
    • 3.3.3. Enhanced Cybersecurity Measures
    • 3.3.4. Strategic Talent Development
    • 3.3.5. Demonstrating ROI and Cost Management
    • 3.3.6. Adherence to Regulatory Compliance
    • 3.3.7. Scenario Planning for Geopolitical Uncertainties

Chapter 4. Global Oil and Gas Analytics Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective

Chapter 5. Global Oil and Gas Analytics Market Size & Forecasts by Service 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Oil and Gas Analytics Market: Service Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Professional
    • 5.2.2. Cloud
    • 5.2.3. Integration

Chapter 6. Global Oil and Gas Analytics Market Size & Forecasts by Deployment Mode 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Oil and Gas Analytics Market: Deployment Mode Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. On-premises
    • 6.2.2. Cloud

Chapter 7. Global Oil and Gas Analytics Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Oil and Gas Analytics Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Upstream
    • 7.2.2. Midstream
    • 7.2.3. Downstream

Chapter 8. Global Oil and Gas Analytics Market Size & Forecasts by Region 2022-2032

  • 8.1. North America Oil and Gas Analytics Market
    • 8.1.1. U.S. Oil and Gas Analytics Market
      • 8.1.1.1. Service breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Deployment Mode breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Application breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada Oil and Gas Analytics Market
  • 8.2. Europe Oil and Gas Analytics Market
    • 8.2.1. U.K. Oil and Gas Analytics Market
    • 8.2.2. Germany Oil and Gas Analytics Market
    • 8.2.3. France Oil and Gas Analytics Market
    • 8.2.4. Spain Oil and Gas Analytics Market
    • 8.2.5. Italy Oil and Gas Analytics Market
    • 8.2.6. Rest of Europe Oil and Gas Analytics Market
  • 8.3. Asia-Pacific Oil and Gas Analytics Market
    • 8.3.1. China Oil and Gas Analytics Market
    • 8.3.2. India Oil and Gas Analytics Market
    • 8.3.3. Japan Oil and Gas Analytics Market
    • 8.3.4. Australia Oil and Gas Analytics Market
    • 8.3.5. South Korea Oil and Gas Analytics Market
    • 8.3.6. Rest of Asia Pacific Oil and Gas Analytics Market
  • 8.4. Latin America Oil and Gas Analytics Market
    • 8.4.1. Brazil Oil and Gas Analytics Market
    • 8.4.2. Mexico Oil and Gas Analytics Market
    • 8.4.3. Rest of Latin America Oil and Gas Analytics Market
  • 8.5. Middle East & Africa Oil and Gas Analytics Market
    • 8.5.1. Saudi Arabia Oil and Gas Analytics Market
    • 8.5.2. South Africa Oil and Gas Analytics Market
    • 8.5.3. Rest of Middle East & Africa Oil and Gas Analytics Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. SAP SE
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. Microsoft Corporation
    • 9.3.3. Hitachi America, Ltd.
    • 9.3.4. Oracle Corporation
    • 9.3.5. Cognizant Technology Solutions U.S.
    • 9.3.6. Capgemini
    • 9.3.7. Accenture plc
    • 9.3.8. Cisco System, Inc.
    • 9.3.9. Tibco Software
    • 9.3.10. IBM (International Business Machines Corporation)

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes