查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1876734

數位油田市場預測至2032年：按製程、解決方案、技術、應用和區域分類的全球分析

Digital Oilfield Market Forecasts to 2032 - Global Analysis By Process (Reservoir Optimization, Drilling Optimization, Production Optimization, Safety Management, and Asset Management), Solution, Technology, Application, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球數位油田市場價值將達到 311 億美元，到 2032 年將達到 523 億美元。

預計在預測期內，數位油田市場將以7.7%的複合年成長率成長。該市場整合了感測器、即時分析、自動化和遠端監控技術，旨在最佳化油氣探勘、生產和資產性能。物聯網遙測、雲端平台和特定領域分析的結合，實現了預測性維護、產量預測和儲存管理。營運商能夠提高採收率、減少停機時間、提升作業安全性，並實現遠端決策。成本壓力和能源轉型正在推動對效率的投資，從而催生了對能夠延長資產壽命和降低排放強度的數位化工作流程的需求。

營運效率和成本節約的需求

在油田數位化市場，持續提升營運效率和降低成本的壓力始終是關鍵促進因素。在利潤率波動較大的油田產業，企業不得不採用數位化解決方案來最佳化生產和簡化工作流程。這些技術能夠實現即時數據監控和遠端操作，從而顯著降低人事費用並最大限度地減少非生產性時間。此外，預測設備故障的能力可以避免代價高昂的停機時間並延長資產壽命，從而帶來顯著的經濟效益，進一步強化了數位轉型的商業價值。

數位油田解決方案的前期投資和整合成本較高

將新技術與現有基礎設施融合面臨著巨大的技術和財務挑戰，包括先進硬體、專用軟體以及實施所需的技術人員的成本。對於許多營運商，尤其是小規模或資金有限的營運商而言，這些高昂的前期成本會延遲或阻礙投資，從而限制整體市場成長，儘管長期收益顯而易見。

將人工智慧和數位雙胞胎整合到預測性維護中

人工智慧 (AI)數位雙胞胎等先進技術的出現帶來了巨大的成長機會。這些工具使營運商能夠創建實體資產的虛擬副本，並建立先進的預測性維護模型。透過分析海量營運資料集，企業可以極為精準地預測設備故障，制定預防性維修計劃，並避免災難性故障的發生。這種從被動維護到預測性維護的轉變不僅提高了安全性，還顯著提升了效率，從而降低了營運成本，並改善了資產的整體健康狀況和盈利。

原油價格波動會影響投資

正如以往週期所見，油價暴跌會立即對石油和燃氣公司的資本支出造成壓力。在這種情況下，由於公司優先考慮短期財務穩定，對新技術的投資往往成為預算中首批被推遲或取消的項目之一。這造成了投資環境的不確定性，可能導致計劃核准停滯，並減緩整個產業的數位轉型步伐。

新冠疫情的感染疾病：

新冠疫情初期對油田數位化市場造成了沉重打擊，石油需求和價格的歷史性暴跌導致資本支出大幅削減，計劃普遍延期。然而，這場危機也數位化提供了強勁動力。隨著旅行限制和遠端辦公政策的實施，油田產業迅速採用數位化工具，實現遠端監控和營運，確保業務永續營運。這段時期凸顯了數位化解決方案在最大限度減少人工干預、維持生產效率方面的重要性，鞏固了其長期策略地位。

預計在預測期內，生產最佳化細分市場將佔據最大的市場佔有率。

預計在預測期內，生產最佳化領域將佔據最大的市場佔有率，因為它直接針對最大限度提高現有資產油氣採收率這一核心目標。在資本紀律至關重要的市場環境下，企業更傾向於投資提升現有油田產量的技術，而非新計畫。該領域的解決方案，例如即時監控和先進的流量控制，能夠透過提高產量和最終採收率帶來立竿見影且可衡量的回報，使其成為一個基礎性且持續高投入的領域。

預計在預測期內，服務業板塊的複合年成長率將最高。

預計在預測期內，服務領域將保持最高的成長率，這主要得益於實施、維護和更新複雜數位系統所需專業知識的持續需求。隨著油田數位解決方案的安裝量不斷擴大，對持續支援、數據分析和網路安全保全服務的需求也將同步成長。此外，許多公司選擇外包服務模式，以便在無需維持大規模內部團隊的情況下利用頂尖技能，這進一步推動了該領域的快速擴張。

佔比最大的地區：

預計北美將在預測期內佔據最大的市場佔有率。這一主導地位主要得益於其技術先進的油氣產業，尤其是在頁岩油氣領域，數位化解決方案是提高油井產能和控制成本的關鍵。主要服務供應商的存在、濃厚的創新文化以及在競爭激烈的市場環境中提高盈利的需求，正在推動全部區域對數位化油田技術的持續大量投資。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率。能源消費量的成長、探勘和生產活動的擴張以及對老舊油田基礎設施進行現代化改造的強勁動力，是推動這一加速成長的主要因素。中國、印度和印尼等國的政府和國家石油公司正積極投資於數位技術，以提高生產效率和能源安全。這為採用新的解決方案創造了有利環境，並為該地區市場的快速擴張奠定了基礎。

免費客製化服務：

購買此報告的客戶可以選擇以下免費自訂選項之一：

  • 公司概況
    • 對其他市場公司（最多 3 家公司）進行全面分析
    • 主要企業SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，提供主要國家的市場規模估算與預測，以及複合年成長率（註：可行性需確認）。
  • 競爭基準化分析
    • 根據主要企業的產品系列、地理覆蓋範圍和策略聯盟基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 原始研究資料
    • 次級研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球數位油田市場（依流程分類）

  • 介紹
  • 儲存最佳化
  • 鑽井最佳化
  • 生產最佳化
  • 安全管理
  • 資產管理

6. 全球數位油田市場（依解決方案分類）

  • 介紹
  • 硬體解決方案
    • 感測器和工業物聯網設備
    • 控制系統
    • 通訊設備
  • 軟體解決方案
    • 數據管理和分析平台
    • 建模與模擬軟體
    • 企業資源規劃 (ERP) 和工作流程自動化
  • 服務
    • 系統整合與實施
    • 諮詢和培訓
    • 託管服務（DOF即服務）

7. 全球數位油田市場（依技術分類）

  • 介紹
  • 人工智慧（AI）和機器學習（ML）
  • 物聯網 (IoT) 和邊緣運算
  • 雲端運算
  • 巨量資料與分析
  • 數位雙胞胎
  • 機器人與自動化

8. 全球數位油田市場（依應用分類）

  • 介紹
  • 陸上
  • 離岸

9. 全球數位油田市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第11章 企業概況

  • Schlumberger Limited
  • Halliburton Company
  • Baker Hughes Company
  • Weatherford International plc
  • NOV Inc.
  • Honeywell International Inc.
  • ABB Ltd
  • Siemens Energy AG
  • Emerson Electric Co.
  • Rockwell Automation, Inc.
  • Aspen Technology, Inc.
  • Pason Systems Corp.
  • Kongsberg Gruppen ASA
  • Yokogawa Electric Corporation
  • Cisco Systems, Inc.
  • IBM Corporation
  • Accenture plc
  • Schneider Electric SE
  • Oracle Corporation
  • SAP SE
Product Code: SMRC32444

According to Stratistics MRC, the Global Digital Oilfield Market is accounted for $31.1 billion in 2025 and is expected to reach $52.3 billion by 2032, growing at a CAGR of 7.7% during the forecast period. The digital oilfield market integrates sensors, real-time analytics, automation, and remote monitoring to optimize hydrocarbon exploration, production, and asset performance. Solutions enable predictive maintenance, production forecasting, and reservoir management by combining IoT telemetry, cloud platforms, and domain-specific analytics. Operators gain improved recovery, lower downtime, and safer operations while enabling remote decision-making. Cost pressures and the energy transition spur efficiency investments and create demand for digital workflows that extend asset life and reduce emissions intensity.

Market Dynamics:

Driver:

Need for operational efficiency and cost reduction

The relentless pressure to enhance operational efficiency and reduce costs remains a primary catalyst for the digital oilfield market. Companies must adopt digital solutions to optimize production and streamline workflows in an industry characterized by volatile margins. These technologies enable real-time data monitoring and remote operations, which significantly lower labor expenses and minimize non-productive time. Furthermore, the ability to predict equipment failures before they occur prevents costly downtime and extends asset life, delivering substantial financial benefits and strengthening the business case for digital transformation.

Restraint:

High initial investment and integration costs for digital oilfield solutions

The integration of new technologies with legacy infrastructure presents considerable technical and financial challenges. Such expense includes costs for advanced hardware, specialized software, and the skilled personnel needed for implementation. For many operators, particularly smaller ones or those in a constrained fiscal environment, these high initial costs can delay or prevent investment, thereby restraining overall market growth despite the clear long-term advantages.

Opportunity:

Integration of AI and digital twins for predictive maintenance

The emergence of advanced technologies like artificial intelligence (AI) and digital twins presents a profound growth opportunity. These tools allow operators to create virtual replicas of physical assets, enabling sophisticated predictive maintenance models. By analyzing vast operational datasets, companies can foresee equipment malfunctions with remarkable accuracy, schedule proactive repairs, and avoid catastrophic failures. This shift from reactive to predictive maintenance not only enhances safety but also unlocks massive efficiency gains, reducing operational costs and boosting overall asset integrity and profitability.

Threat:

Volatility in oil prices affecting investments

Sharp declines in oil prices, as witnessed in past cycles, immediately pressure oil and gas companies' capital expenditures. In such scenarios, investment in new technologies is often one of the first budget items to be deferred or cancelled as companies prioritize short-term financial stability. This creates an unpredictable investment climate, potentially stalling project approvals and slowing the pace of digital adoption across the industry.

Covid-19 Impact:

The COVID-19 pandemic initially delivered a severe shock to the digital oilfield market, as a historic collapse in oil demand and prices led to widespread capital spending cuts and project delays. However, this crisis also acted as a powerful accelerant for digitalization. With travel restrictions and remote work mandates, the industry rapidly embraced digital tools to enable remote monitoring and operations, ensuring business continuity. This period underscored the critical value of digital solutions in maintaining production and efficiency with minimal physical presence, solidifying their long-term strategic importance.

The production optimization segment is expected to be the largest during the forecast period

The production optimization segment is expected to account for the largest market share during the forecast period, as it directly addresses the core objective of maximizing hydrocarbon recovery from existing assets. In a market that values capital discipline, companies put more money into technologies that improve output from existing fields than into new projects. Solutions in this segment, such as real-time surveillance and advanced flow control, provide immediate and measurable returns by increasing production rates and improving ultimate recovery, making them a fundamental and consistently high-investment area.

The services segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the services segment is predicted to witness the highest growth rate, driven by the continuous need for specialized expertise to install, maintain, and update complex digital systems. As the installed base of digital oilfield solutions expands, the demand for ongoing support, data analytics, and cybersecurity services grows in parallel. Moreover, many companies are opting for outsourced service models to access top-tier skills without maintaining large in-house teams, further propelling this segment's rapid expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. This dominance is anchored by its technologically advanced oil and gas sector, particularly in shale plays where digital solutions are key to maximizing well performance and controlling costs. The presence of major service providers, a strong culture of innovation, and the need to enhance profitability in a competitive market environment drive substantial and sustained investment in digital oilfield technologies across the region.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rising energy consumption, increased exploration and production activities, and a strong push to modernize aging oilfield infrastructure fuel this accelerated growth. Governments and national oil companies in countries like China, India, and Indonesia are actively investing in digital technologies to improve output and energy security. This creates a fertile ground for the adoption of new solutions, positioning the region for rapid market expansion.

Key players in the market

Some of the key players in Digital Oilfield Market include Schlumberger Limited, Halliburton Company, Baker Hughes Company, Weatherford International plc, NOV Inc., Honeywell International Inc., ABB Ltd, Siemens Energy AG, Emerson Electric Co., Rockwell Automation, Inc., Aspen Technology, Inc., Pason Systems Corp., Kongsberg Gruppen ASA, Yokogawa Electric Corporation, Cisco Systems, Inc., IBM Corporation, Accenture plc, Schneider Electric SE, Oracle Corporation, and SAP SE.

Key Developments:

In June 2025, Halliburton and Chevron executed intelligent hydraulic fracturing in Colorado using ZEUS IQ and OCTIV Auto Frac products, enabling real-time feedback and autonomous completion adjustments in digital oilfield operations.

In May 2025, Emerson launched Project Beyond, a software-defined operations platform integrating control, data, cybersecurity, and AI to modernize industrial automation in brown-field upgrades and digital oilfield environments.

In April 2025, SLB and Shell agreed to globalize Petrel workflows on OSDU-compliant standards to accelerate subsurface interpretation across 30 countries, enhancing digital oilfield capabilities. Also, SLB's Agora edge-AI deployment in Ecuador optimized chemical injection and reduced lost production by 12,000 barrels through real-time machine learning.

Process Covered:

  • Reservoir Optimization
  • Drilling Optimization
  • Production Optimization
  • Safety Management
  • Asset Management

Solutions Covered:

  • Hardware Solutions
  • Software Solutions
  • Services

Technologies Covered:

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Internet of Things (IoT) and Edge Computing
  • Cloud Computing
  • Big Data and Analytics
  • Digital Twin
  • Robotics and Automation

Applications Covered:

  • Onshore
  • Offshore

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Digital Oilfield Market, By Process

  • 5.1 Introduction
  • 5.2 Reservoir Optimization
  • 5.3 Drilling Optimization
  • 5.4 Production Optimization
  • 5.5 Safety Management
  • 5.6 Asset Management

6 Global Digital Oilfield Market, By Solution

  • 6.1 Introduction
  • 6.2 Hardware Solutions
    • 6.2.1 Sensors and IIoT Devices
    • 6.2.2 Control Systems
    • 6.2.3 Communication Equipment
  • 6.3 Software Solutions
    • 6.3.1 Data Management and Analytics Platforms
    • 6.3.2 Modeling and Simulation Software
    • 6.3.3 Enterprise Resource Planning (ERP) & Workflow Automation
  • 6.4 Services
    • 6.4.1 System Integration and Implementation
    • 6.4.2 Consulting and Training
    • 6.4.3 Managed Services (DOF-as-a-Service)

7 Global Digital Oilfield Market, By Technology

  • 7.1 Introduction
  • 7.2 Artificial Intelligence (AI) and Machine Learning (ML)
  • 7.3 Internet of Things (IoT) and Edge Computing
  • 7.4 Cloud Computing
  • 7.5 Big Data and Analytics
  • 7.6 Digital Twin
  • 7.7 Robotics and Automation

8 Global Digital Oilfield Market, By Application

  • 8.1 Introduction
  • 8.2 Onshore
  • 8.3 Offshore

9 Global Digital Oilfield Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Schlumberger Limited
  • 11.2 Halliburton Company
  • 11.3 Baker Hughes Company
  • 11.4 Weatherford International plc
  • 11.5 NOV Inc.
  • 11.6 Honeywell International Inc.
  • 11.7 ABB Ltd
  • 11.8 Siemens Energy AG
  • 11.9 Emerson Electric Co.
  • 11.10 Rockwell Automation, Inc.
  • 11.11 Aspen Technology, Inc.
  • 11.12 Pason Systems Corp.
  • 11.13 Kongsberg Gruppen ASA
  • 11.14 Yokogawa Electric Corporation
  • 11.15 Cisco Systems, Inc.
  • 11.16 IBM Corporation
  • 11.17 Accenture plc
  • 11.18 Schneider Electric SE
  • 11.19 Oracle Corporation
  • 11.20 SAP SE

List of Tables

  • 1 Global Digital Oilfield Market Outlook, By Region (2024-2032) ($MN)
  • 2 Global Digital Oilfield Market Outlook, By Process (2024-2032) ($MN)
  • 3 Global Digital Oilfield Market Outlook, By Reservoir Optimization (2024-2032) ($MN)
  • 4 Global Digital Oilfield Market Outlook, By Drilling Optimization (2024-2032) ($MN)
  • 5 Global Digital Oilfield Market Outlook, By Production Optimization (2024-2032) ($MN)
  • 6 Global Digital Oilfield Market Outlook, By Safety Management (2024-2032) ($MN)
  • 7 Global Digital Oilfield Market Outlook, By Asset Management (2024-2032) ($MN)
  • 8 Global Digital Oilfield Market Outlook, By Solution (2024-2032) ($MN)
  • 9 Global Digital Oilfield Market Outlook, By Hardware Solutions (2024-2032) ($MN)
  • 10 Global Digital Oilfield Market Outlook, By Sensors and IIoT Devices (2024-2032) ($MN)
  • 11 Global Digital Oilfield Market Outlook, By Control Systems (2024-2032) ($MN)
  • 12 Global Digital Oilfield Market Outlook, By Communication Equipment (2024-2032) ($MN)
  • 13 Global Digital Oilfield Market Outlook, By Software Solutions (2024-2032) ($MN)
  • 14 Global Digital Oilfield Market Outlook, By Data Management and Analytics Platforms (2024-2032) ($MN)
  • 15 Global Digital Oilfield Market Outlook, By Modeling and Simulation Software (2024-2032) ($MN)
  • 16 Global Digital Oilfield Market Outlook, By Enterprise Resource Planning (ERP) & Workflow Automation (2024-2032) ($MN)
  • 17 Global Digital Oilfield Market Outlook, By Services (2024-2032) ($MN)
  • 18 Global Digital Oilfield Market Outlook, By System Integration and Implementation (2024-2032) ($MN)
  • 19 Global Digital Oilfield Market Outlook, By Consulting and Training (2024-2032) ($MN)
  • 20 Global Digital Oilfield Market Outlook, By Managed Services (DOF-as-a-Service) (2024-2032) ($MN)
  • 21 Global Digital Oilfield Market Outlook, By Technology (2024-2032) ($MN)
  • 22 Global Digital Oilfield Market Outlook, By Artificial Intelligence (AI) and Machine Learning (ML) (2024-2032) ($MN)
  • 23 Global Digital Oilfield Market Outlook, By Internet of Things (IoT) and Edge Computing (2024-2032) ($MN)
  • 24 Global Digital Oilfield Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • 25 Global Digital Oilfield Market Outlook, By Big Data and Analytics (2024-2032) ($MN)
  • 26 Global Digital Oilfield Market Outlook, By Digital Twin (2024-2032) ($MN)
  • 27 Global Digital Oilfield Market Outlook, By Robotics and Automation (2024-2032) ($MN)
  • 28 Global Digital Oilfield Market Outlook, By Application (2024-2032) ($MN)
  • 29 Global Digital Oilfield Market Outlook, By Onshore (2024-2032) ($MN)
  • 30 Global Digital Oilfield Market Outlook, By Offshore (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.