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市場調查報告書
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1626300

亞太地區石油和天然氣自動化：市場佔有率分析、產業趨勢、統計和成長預測（2025-2030）

APAC Oil & Gas Automation - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

亞太地區石油和天然氣自動化市場預計在預測期內年複合成長率為4.8%

亞太地區石油天然氣自動化-市場-IMG1

主要亮點

  • 自動化正在被多個行業採用，以帶來即時和持久的變化，特別是在石油和天然氣行業等大型行業。石油和天然氣產業正開始走向數位化，更多的感測器從世界各地的鑽機上累積資料。然而，在日益多元化的市場中，仍有一些尚未探索的領域可供公司改進。採用數位技術使工程團隊能夠與石油和天然氣公司合作，更有效地管理資料和計劃要求、改善內部溝通並簡化規劃。
  • 此外，印度等國家面臨著 2040 年將精製能力增加一倍的壓力，以滿足乘用車數量不斷成長而不斷成長的燃料需求。然而，儘管石油產量增加，像英國石油公司（印度）這樣的下游公司卻沒有計劃建造新的煉油廠。該公司將專注於對現有工廠進行現代化改造，同時擴大其加油站網路，預計將產生 30 億美元的額外現金。
  • 感測器成本的下降還可能提供多種成本節約措施，以在石油和天然氣行業引入自動化技術，以提高生產率並消除經營模式中的潛在瓶頸。
  • 然而，根據去年發布的 Digital-Re-Definery 報告，報告指出數位技術使精製業務利潤率提高 10% 或更多的精製數量從 11% 下降到 3%。此外，此後的利潤率改善幅度均有所下降。這突顯了這樣一個事實：由於石油和氣體純化行業最終並未利用數位投資，因此存在巨大的改進潛力。
  • 此外，石油和天然氣產業也面臨技術純熟勞工短缺的問題。人才庫薄弱使得石油和天然氣公司僱用具有解決新能源來源所需技術技能的新員工的能力變得複雜。此外，自 2020 年起，由於 COVID-19 以及沙烏地阿拉伯和俄羅斯之間的價格戰，油價下跌的壓力預計將鼓勵石油生產商提高生產效率並刺激該行業的需求。

亞太地區石油和天然氣自動化市場趨勢

利用數位技術提高生產效率

  • 隨著工業 4.0 技術在石油和天然氣領域的出現，解決方案供應商正在引入額外的感測器和控制器，在實現即將到來的數位技術的優勢之前，這些感測器和控制器需要替換現有的控制器。
  • 例如，公司正在開發和部署額外的感測器來測量地下和井口附近的壓力、溫度、振動和流速。該解決方案透過物聯網閘道器或集線器將大型資料集傳送到雲端。在雲端，資料科學家建構基於人工智慧的機器學習模型。這需要大量的資金投入，但如上所述，目前存在很大的限制。
  • 過去幾十年甚至更早的時候，很大一部分人工抽油井已經安裝了感測器和自動化設備。但問題是控制器只執行基本的控制功能。這提供了足夠的運算能力來執行操作人工水泵的簡單功能，其預設操作設定由操作員或生產工程師使用 SCADA 軟體指定。

石油消費量上升推動自動化

  • 為了滿足這種不斷成長的需求，公司擴大轉向自動化策略，以保持生產環境的高效率。因此，與油氣三大領域相比，下游產業的自動化滲透率相對較高。
  • 2020年天然氣需求預計將下降2.3%，與金融危機後的2009年市場非常相似。大多數地區的消費量均下降，但中國除外，其天然氣需求增加了近7%。
  • 在下游領域，資產效率推動投資收益（ROI）。煉油廠週轉計畫可能至少持續三到五週，這表明維護這些資產的重要性。
  • 在預測期內，預計產業內物聯網解決方案以及與 SCADA、PLC 和 HMI 系統結合的預測維修系統的數量將大幅增加。
  • 自動化技術有潛力顯著提高生產力和效率，同時幫助產業保持高產出。例如，考慮像英國，該國在石油和天然氣領域的技術滲透率相當高。

亞太地區石油和天然氣自動化產業概況

石油和天然氣自動化市場競爭激烈，由多家大公司組成。從市場佔有率來看，目前少數大公司佔據市場主導地位。這些擁有高市場佔有率的大公司正專注於擴大海外基本客群。這些公司利用策略合作措施來擴大市場佔有率並提高盈利。我們也收購新興企業，以增強我們的產品能力。

  • 2020 年 3 月 - 艾默生和 Quantum Reservoir Impact 宣佈建立合作夥伴關係，開發和行銷專為石油和天然氣探勘和生產而設計的基於人工智慧的分析和決策工具的次世代應用程式。
  • 2021 年 9 月 - Automation Anywhere 宣布與印度石油公司 (IOCL) 合作。在其五年計畫的第一階段，IOCL 將使用 Automation 360（一個由人工智慧驅動的機器人流程自動化 (RPA) 平台）來自動化財務、人力資源和庫存等部門的關鍵流程選擇。

其他好處

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章 市場動態與趨勢

  • 市場概況
  • 推動市場的因素
    • 生產最佳化
    • 增強安全保障
    • 高效率、便捷的維護
    • 老儲存探勘
  • 市場限制因素
    • 初期投資高
    • 政治不穩定
  • 當前的市場機會
  • 技術簡介
  • 波特五力分析
    • 供應商的議價能力
    • 消費者議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間的敵對關係
  • 產業價值鏈分析
  • 產業政策

第5章市場區隔

  • 透過自動化技術
    • 集散控制系統（DCS）
    • 可程式邏輯控制器（PLC）
    • 人機介面 (HMI)
    • 監控/資料採集 (SCADA)
    • 即時最佳化和模擬（RTOS）
    • 其他
  • 按行業分類
    • 上游
    • 中產階級
    • 下游
  • 按石油衍生產品
    • 液化石油氣
    • 汽油
    • 柴油引擎
    • 其他
  • 按地區
    • 亞太地區
      • 中國
      • 印度
      • 日本
      • 其他

第6章 競爭狀況

  • 公司簡介
    • ABB
    • Honeywell
    • General Electric
    • Rockwell Automation
    • Schneider Electric
    • Siemens
    • Yokogawa Electric Corporation
    • Metso Corporation
    • Mitsubishi Electric Corporation

第7章 投資分析

  • 最近的併購
  • 投資者展望

第8章亞太油氣自動化市場未來

簡介目錄
Product Code: 47138

The APAC Oil & Gas Automation Market is expected to register a CAGR of 4.8% during the forecast period.

APAC Oil & Gas Automation - Market - IMG1

Key Highlights

  • Automation is being adopted across several industries to make an immediate and lasting difference, particularly in a large industry like the oil and gas sector. The oil & gas industry has begun the move toward digitization with more sensors accumulating data from rigs worldwide. However, there are still some untapped areas where companies can improve within an increasingly diverse market. Employing digital technologies can help engineering teams work more efficiently with oil and gas companies to manage data and project requirements better, improving internal communications and simplifying planning.
  • Furthermore, in countries like India, there is a severe need to double the country's refining potential by 2040 to suffice growing fuel demand as passenger vehicles increase. However, downstream companies such as BP (India) have no plans to build new refineries despite growing oil production. They are expected to focus on modernizing existing plants while expanding their network of filling stations to generate USD 3 billion in additional cash.
  • Declining sensor costs could also offer several cost-cutting measures to implement automation technologies in the oil & gas industry to improve productivity and eliminate any possible hindrances in the business model.
  • However, according to the Digital-Re-Definery report released in the past year, the number of refiners that reported digital technologies delivering a margin improvement of more than 10% in refining operations dropped from 11% to 3%. The numbers also dropped for all subsequent margin improvement ranges. This underscores the fact that there is considerable potential for improvement as Oil and Gas Refineries are yet to capitalize ultimately on digital investments.
  • Additionally, the oil & gas industry is suffering from a skilled labor shortage. The shallow talent pool has made it complicated for oil & gas companies to hire new employees with the technical skills required to work on new energy sources. Moreover, stress with the oil prices declining over 2020, in the wake of COVID-19 & price war between Saudi Arabi and Russia, is expected to drive the oil-producing companies to improve their production efficiency and dive the demand in the sector.

APAC Oil Gas Automation Market Trends

Digital Technologies to increase the production efficiency

  • As Industry 4.0 technology emerges in the oil and gas sector, solution providers are introducing additional sensors or controllers that need to replace existing controllers before realizing the benefits of the upcoming digital technologies.
  • For example, companies are developing and deploying additional sensors to measure pressure, temperature, vibration, and flow in the underground area or at or near the wellhead. This solution involves sending large datasets to the cloud over IoT gateways and hubs. In the cloud, data scientists build AI-based machine learning models. This requires a significant capital investment, but as mentioned above, it is currently severely restricted.
  • A significant proportion of artificially lifted wells already have sensors and automation equipment installed in the last few decades or earlier. However, the problem is that the controller performs only essential control functions. This provides sufficient computational power to perform the simple functions of operating an artificial lift device with the preset operating settings specified by the operator or production engineer using SCADA software.

Increase in the consumption of Oil is pushing for automation

  • To keep up with such increasing demand, companies are often turning toward automation strategies to maintain high efficiencies of their production environments. Hence, compared to all three streams of oil and gas, the penetration of automation is comparatively high in the downstream sector.
  • Gas demand is estimated to have declined by 2.3% in 2020, much like what the market saw in 2009 after the financial crisis. Consumption declined in most regions except China, where gas demand increased by almost 7%.
  • In the downstream sector, the efficiency of the assets determines the return on investment (ROI) factors. The turnaround schedules of the refineries that last for at least three to five weeks in some cases demonstrate the importance of maintaining these assets.
  • Over the forecast period, the industry is expected to witness a considerable increase in the number of IoT solutions and predictive maintenance systems combined with SCADA, PLC, and HMI systems.
  • Automation technologies may dramatically enhance productivity and efficiency while also helping the industry maintain high production output. For example, consider countries like the United Kingdom, where technology penetration is considerably high in the oil and gas sector.

APAC Oil Gas Automation Industry Overview

The oil and gas automation market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with prominent shares in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. The companies operating in the market are also acquiring start-ups working on oil and gas automation to strengthen their product capabilities.

  • March 2020 - Emerson and Quantum Reservoir Impact announced a partnership to develop and market next-generation applications for artificial intelligence-based analytics and decision-making tools designed for oil and gas exploration and production.
  • September 2021 - Automation Anywhere announced a collaboration with Indian Oil Corporation Limited (IOCL) to speed and scale automation to drive innovation across the organization of 30,000 employees. In the first phase of the five-year plan, IOCL will use Automation 360, AI-powered robotic process automation (RPA) platform, to automate critical process choices across departments such as finance, human resources, and inventory.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS AND TRENDS

  • 4.1 Market Overview
  • 4.2 Factors Driving the Market
    • 4.2.1 Optimizing Production
    • 4.2.2 Enhancing Safety and Security
    • 4.2.3 Effective and Easy Maintenance
    • 4.2.4 Exploration from Aging Reservoirs
  • 4.3 Factors Restraining the Market
    • 4.3.1 Initial Investment is high
    • 4.3.2 Political Instability
  • 4.4 Current Opportunities in the Market
  • 4.5 Technology Snapshot
  • 4.6 Porters Five Forces Analysis
    • 4.6.1 Bargaining Power of Suppliers
    • 4.6.2 Bargaining Power of Consumers
    • 4.6.3 Threat of New Entrants
    • 4.6.4 Threat of Substitute Products and Services
    • 4.6.5 Competitive Rivalry within the Industry
  • 4.7 Industry Value-Chain Analysis
  • 4.8 Industry Policies

5 MARKET SEGMENTATION

  • 5.1 By Automation Technologies
    • 5.1.1 Distributed Control Systems (DCS)
    • 5.1.2 Programmable Logic Controller (PLC)
    • 5.1.3 Human Machine Interface (HMI)
    • 5.1.4 Supervisory Control and Data Acquisition (SCADA)
    • 5.1.5 Real Time Optimization & Simulation (RTOS)
    • 5.1.6 Others
  • 5.2 By Sectors
    • 5.2.1 Upstream
    • 5.2.2 Midstream
    • 5.2.3 Downstream
  • 5.3 By Petroleum Derivative Products
    • 5.3.1 Liquefied Petroleum Gas
    • 5.3.2 Petrol
    • 5.3.3 Diesel
    • 5.3.4 Others
  • 5.4 By Geography
    • 5.4.1 Asia Pacific
      • 5.4.1.1 China
      • 5.4.1.2 India
      • 5.4.1.3 Japan
      • 5.4.1.4 Others

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 ABB
    • 6.1.2 Honeywell
    • 6.1.3 General Electric
    • 6.1.4 Rockwell Automation
    • 6.1.5 Schneider Electric
    • 6.1.6 Siemens
    • 6.1.7 Yokogawa Electric Corporation
    • 6.1.8 Metso Corporation
    • 6.1.9 Mitsubishi Electric Corporation

7 INVESTMENT ANALYSIS

  • 7.1 Recent Mergers and Acquisitions
  • 7.2 Investor Outlook

8 FUTURE OF ASIA-PACIFIC OIL AND GAS AUTOMATION MARKET