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商品編碼
1514788

全球石油和天然氣分析市場規模研究，按服務（專業、雲端、整合）、部署模式（本地、雲端）、應用程式（上游、中游、下游）和 2022-2032 年區域預測

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個工作天內

價格
簡介目錄

2023 年，全球石油和天然氣分析市場價值約為 123 億美元，預計在 2024-2032 年預測期內將以超過 23.40% 的健康成長率成長。在採用旨在提高營運效率和決策的工業 4.0 原則的推動下，石油和天然氣行業目前正在經歷深刻的數位轉型。先進的分析解決方案使公司能夠利用即時資料，從而最佳化探勘和生產流程、最大限度地減少停機時間並提高整體資產績效。預測性維護已成為該行業的一個重要趨勢，其中分析工具分析設備性能資料，以在潛在故障發生之前預測它們，從而實現主動維護並減少停機時間。這不僅降低了營運成本，還提高了安全性和可靠性。

隨著石油和天然氣行業產生的資料量和種類激增，這些資料的整合和視覺化變得至關重要。分析平台促進無縫資料整合並提供直覺的視覺化，為決策者提供可行的見解，使他們能夠即時做出明智的選擇。在上游領域，透過分析進行先進的油藏表徵越來越受到重視。透過分析地質和地球物理資料，公司可以最佳化油藏管理、提高鑽井效率並最大限度地提高碳氫化合物採收率。

由於對分析的需求不斷增加、數位化的快速成長以及企業採用先進技術來滿足不斷成長的石油和天然氣業務的需求，預計該市場將激增。油田分析可以識別眾多變數中的模式，從而提高效能、可靠性和可擴展性。此外，雲端運算、機器學習和人工智慧的創新預計將在預測期內推動市場成長。

油基助劑領域由於其在農業應用中的獨特優勢，預計將呈現顯著的成長速度。這些助劑增強活性成分的溶解度和分散性，確保在植物表面上更好的覆蓋和滲透。此外，它們還有助於降低表面張力，使農業化學品更好地黏附和吸收到植物組織上，從而提高整體性能和有效性。

從地理來看，在數位化工具和高效技術系統的大量投資的推動下，北美佔據了市場的主導佔有率。該地區擴大採用分析解決方案來提高成本效益和勞動生產力，加上油氣產業資本支出的增加，將對市場成長產生積極影響。然而，預計亞太地區的市場在預測期內將以最快的速度成長。

本報告中包含的主要市場參與者包括：

  • SAP系統公司
  • 微軟公司
  • 日立美國有限公司
  • 甲骨文公司
  • 美國認知技術解決方案
  • 凱捷
  • 埃森哲公司
  • 思科系統公司
  • 蒂博科軟體
  • IBM（國際商業機器公司）

目錄

第 1 章：全球石油與天然氣分析市場執行摘要

  • 全球石油天然氣分析市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按服務
    • 按部署模式
    • 按申請
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球石油與天然氣分析市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包含與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球石油與天然氣分析市場動態

  • 市場促進因素
    • 石油和天然氣產業分析需求的成長
    • 不斷成長的油田項目
    • 石油和天然氣產業採用基於雲端的解決方案
  • 市場挑戰
    • 數據複雜性和整合
    • 遺留基礎設施
    • 網路安全威脅
    • 人才短缺
    • 成本壓力和投資報酬率問題
    • 監理合規性
    • 複雜的地緣政治格局
  • 市場機會
    • 對數據品質和整合的投資
    • 基礎設施現代化
    • 加強網路安全措施
    • 策略人才發展
    • 展現投資報酬率和成本管理
    • 遵守法規
    • 地緣政治不確定性的情境規劃

第 4 章：全球石油與天然氣分析市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的 5 力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角

第 5 章：2022-2032 年全球石油與天然氣分析市場規模及服務預測

  • 細分儀表板
  • 全球石油和天然氣分析市場：2022 年和 2032 年服務收入趨勢分析
    • 專業的
    • 雲
    • 一體化

第 6 章：2022-2032 年全球石油與天然氣分析市場規模及依部署模式預測

  • 細分儀表板
  • 全球石油和天然氣分析市場：2022 年和 2032 年部署模式收入趨勢分析
    • 本地
    • 雲

第 7 章：2022-2032 年全球石油與天然氣分析市場規模及應用預測

  • 細分儀表板
  • 全球石油和天然氣分析市場：2022 年和 2032 年應用收入趨勢分析
    • 上游
    • 中游
    • 下游

第 8 章：2022-2032 年全球石油與天然氣分析市場規模及按地區預測

  • 北美石油和天然氣分析市場
    • 美國石油與天然氣分析市場
      • 2022-2032 年服務細分規模與預測
      • 2022-2032 年部署模式細分規模與預測
      • 2022-2032 年應用細分規模與預測
    • 加拿大石油與天然氣分析市場
  • 歐洲石油與天然氣分析市場
    • 英國石油與天然氣分析市場
    • 德國石油與天然氣分析市場
    • 法國石油與天然氣分析市場
    • 西班牙石油與天然氣分析市場
    • 義大利石油和天然氣分析市場
    • 歐洲其他地區石油和天然氣分析市場
  • 亞太地區石油與天然氣分析市場
    • 中國石油與天然氣分析市場
    • 印度石油和天然氣分析市場
    • 日本石油與天然氣分析市場
    • 澳洲石油與天然氣分析市場
    • 韓國石油和天然氣分析市場
    • 亞太地區其他地區石油和天然氣分析市場
  • 拉丁美洲石油與天然氣分析市場
    • 巴西石油與天然氣分析市場
    • 墨西哥石油與天然氣分析市場
    • 拉丁美洲其他地區石油和天然氣分析市場
  • 中東和非洲石油和天然氣分析市場
    • 沙烏地阿拉伯石油和天然氣分析市場
    • 南非石油與天然氣分析市場
    • 中東和非洲其他地區石油和天然氣分析市場

第 9 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • SAP SE
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • 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：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

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