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市場調查報告書
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1933077

人工智慧在醫學影像領域的應用，全球市場預測至2032年：按組件、模式、技術、應用、最終用戶和地區分類

Medical Imaging AI Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Modality, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的研究，預計到 2025 年，全球用於醫學影像的 AI 市場價值將達到 24.6 億美元，到 2032 年將達到 140.9 億美元，在預測期內的複合年成長率為 28.3%。

醫學影像人工智慧是指將人工智慧（包括機器學習和深度學習演算法）應用於分析和解讀醫學影像，例如X光、 電腦斷層掃描、MRI和超音波。這可以提高診斷準確率，加快影像處理速度，並幫助臨床醫生檢測異常情況、預測疾病進展以及製定個人化治療方案。透過整合先進的模式識別和數據分析技術，醫學影像人工智慧能夠支援早期診斷，減少人為錯誤，並最佳化醫療環境中的工作流程效率。最終，這將改善患者預後，並實現更精準、數據驅動的臨床決策。

慢性病發生率呈上升趨勢

心血管疾病、癌症、糖尿病和神經系統疾病等慢性病的日益增加是推動市場發展的主要因素。由於這些疾病需要頻繁監測和早期發現，醫療機構越來越依賴人工智慧驅動的影像診斷解決方案來進行準確及時的診斷。先進的演算法能夠分析複雜的影像數據，幫助臨床醫生發現細微的異常、監測疾病進展並制定治療方案。對慢性病管理精準性和效率的日益成長的需求正在推動全球市場的擴張。

高昂的實施成本

高昂的實施成本仍是醫學影像人工智慧技術普及應用的主要障礙。部署人工智慧解決方案需要對硬體、軟體和資料基礎設施進行大量投資，此外還需要支付人員培訓和系統整合費用。中小醫療機構往往面臨預算限制，阻礙了人工智慧技術的廣泛應用。此外，持續的維護、更新和網路安全措施也會增加營運成本。這些財務障礙會減緩市場滲透速度，尤其是在發展中地區。

技術進步

持續的技術進步為市場帶來了巨大的機會。深度學習、神經網路和雲端運算領域的創新使得更先進的影像分析和預測建模成為可能。與電子健康記錄 (EHR) 和穿戴式裝置的整合增強了個人化治療和監測的效果。此外，演算法精度、計算能力和成像技術的進步正在拓展人工智慧在多個專科領域的應用範圍，包括腫瘤學、心臟病學和放射學。這些進步有望加速人工智慧的普及應用，並鞏固其在現代醫療保健生態系統中的作用。

監理複雜性

監管的複雜性對市場構成重大威脅。基於人工智慧的診斷影像解決方案必須遵守嚴格的醫療法規，包括獲得美國食品藥物管理局 (FDA)、歐洲藥品管理局 (EMA) 和地區監管機構等部門的核准。缺乏標準化的評估框架、不斷變化的指南以及對資料隱私和病患安全的擔憂，都可能導致產品上市延遲和合規成本增加。地區監管差異進一步加劇了全球市場准入的困難度。這些挑戰有可能阻礙創新和應用，因此，開發商和醫療服務提供者必須認真考慮複雜的法律體制。

新冠疫情的影響：

新冠疫情對醫學影像人工智慧市場產生了重大影響，加速了對自動化和遠距離診斷工具的需求。人工智慧輔助影像技術幫助臨床醫生快速檢測新冠患者的肺部異常，從而支援早期療育和高效的資源配置。疫情對常規醫療服務的衝擊也凸顯了高效成像工作流程和遠端醫療整合的必要性。因此，隨著醫院和診斷中心尋求擴充性、精準且非接觸式的診斷工具，對人工智慧解決方案的投資激增。

在預測期內，機器學習領域將佔據最大的市場規模。

預計在預測期內，機器學習領域將佔據最大的市場佔有率。機器學習演算法能夠從海量資料集中學習，隨著時間的推移不斷提高診斷準確率，並識別傳統分析方法可能遺漏的醫學影像中的複雜模式。這些解決方案支援廣泛的應用，包括腫瘤檢測和器官分割。其擴充性和持續提升效能的能力使其成為診斷工作流程中不可或缺的一部分，推動了其在全球醫院、診斷中心和研究機構的廣泛應用。

在預測期內，診斷中心細分市場將實現最高的複合年成長率。

預計在預測期內，診斷中心細分市場將實現最高成長率，因為對快速、精準診斷服務的需求不斷成長，促使這些中心採用人工智慧驅動的成像解決方案，從而最佳化工作流程、縮短處理時間並提高準確性。與大型醫院不同，診斷中心可以更快採用人工智慧工具，獲得更具成本效益的解決方案和專業服務。隨著這些中心成像能力的擴展，人工智慧的整合將使它們能夠高效處理不斷成長的患者數量並改善臨床決策，從而推動市場強勁成長。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其先進的醫療基礎設施、對最尖端科技的積極應用以及強大的研發投入。主要人工智慧開發商和成熟醫療服務提供者的存在，正在推動人工智慧解決方案的快速整合。有利的報銷政策和對精準醫療日益成長的關注，進一步加速了人工智慧的普及應用。對早期診斷、工作流程效率和數據驅動的臨床決策日益成長的需求，必將確保北美在全球醫學影像人工智慧發展領域保持領先地位。

預計年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於慢性病患病率上升和醫療基礎設施投資增加所推動的需求成長。各國政府，尤其是中國和印度等新興經濟體的政府，正積極推廣人工智慧技術的應用，以提高診斷效率。診斷中心的擴建以及人們對人工智慧臨床益處的認知不斷提高，都促進了人工智慧技術的廣泛應用。此外，技術提供者和醫療機構之間的區域合作也推動了人工智慧技術快速融入區域醫療系統。

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目錄

第1章執行摘要

第2章 前言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

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. 全球醫療影像人工智慧市場（按組件分類）

  • 軟體
  • 服務

6. 全球醫學影像人工智慧市場（以影像方式分類）

  • X光影像
  • CT（電腦斷層掃描）
  • 磁振造影（MRI）
  • 超音波成像
  • PET（正子斷層掃描）
  • 乳房X光攝影
  • 其他

7. 全球醫療影像人工智慧市場（按技術分類）

  • 機器學習
  • 深度學習
  • 自然語言處理（NLP）

8. 全球人工智慧醫療影像市場（按應用領域分類）

  • 放射成像
  • 心血管影像
  • 腫瘤影像
  • 神經影像學
  • 肌肉骨骼影像
  • 其他

9. 全球醫學影像人工智慧市場（按最終用戶分類）

  • 醫院和診所
  • 診斷中心
  • 研究和學術機構
  • 其他

第11章 全球醫療影像人工智慧市場（按地區分類）

  • 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
    • 其他南美國家
  • 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12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章：企業概況

  • GE HealthCare
  • Butterfly Network
  • Siemens Healthineers AG
  • EchoNous, Inc.
  • Koninklijke Philips NV
  • Avicenna.AI
  • IBM Watson Health
  • Agfa-Gevaert Group
  • NVIDIA Corporation
  • Gleamer
  • Microsoft Corporation
  • Canon Medical Systems
  • Aidoc
  • Arterys
  • Zebra Medical Vision
Product Code: SMRC33645

According to Stratistics MRC, the Global Medical Imaging AI Market is accounted for $2.46 billion in 2025 and is expected to reach $14.09 billion by 2032 growing at a CAGR of 28.3% during the forecast period. Medical Imaging AI refers to the application of artificial intelligence, including machine learning and deep learning algorithms, to analyze and interpret medical images such as X-rays, CT scans, MRI, and ultrasound. It enhances diagnostic accuracy, accelerates image processing, and assists clinicians in detecting abnormalities, predicting disease progression, and personalizing treatment plans. By integrating advanced pattern recognition and data analytics, Medical Imaging AI supports early diagnosis, reduces human error, and optimizes workflow efficiency in healthcare settings, ultimately improving patient outcomes and enabling more precise, data driven clinical decision making.

Market Dynamics:

Driver:

Growing Prevalence of Chronic Diseases

The rising prevalence of chronic diseases such as cardiovascular disorders, cancer, diabetes, and neurological conditions is a major driver for the market. As these diseases often require frequent monitoring and early detection, healthcare providers increasingly rely on AI-powered imaging solutions for accurate and timely diagnosis. Advanced algorithms enable the analysis of complex imaging data, supporting clinicians in detecting subtle abnormalities, monitoring disease progression, and planning treatment. This growing demand for precision and efficiency in chronic disease management fuels market expansion globally.

Restraint:

High Implementation Costs

High implementation costs remain a key restraint for the adoption of Medical Imaging AI technologies. The deployment of AI solutions involves substantial investments in hardware, software, and data infrastructure, alongside expenses for staff training and system integration. Small and medium healthcare facilities often face budgetary constraints, limiting widespread adoption. Additionally, ongoing maintenance, updates, and cybersecurity measures contribute to operational costs. These financial barriers can slow market penetration, particularly in developing regions.

Opportunity:

Advancements in technology

Continuous technological advancements present significant opportunities for the market. Innovations in deep learning, neural networks, and cloud computing enable more sophisticated image analysis and predictive modeling. Integration with electronic health records (EHRs) and wearable devices enhance personalized treatment and monitoring. Furthermore, improvements in algorithm accuracy, computational power, and imaging modalities expand AI's applications across multiple specialties, including oncology, cardiology, and radiology. These advancements are expected to accelerate adoption and strengthen AI's role in modern healthcare ecosystems.

Threat:

Regulatory Complexity

Regulatory complexity poses a substantial threat to the market. AI-based imaging solutions must comply with stringent healthcare regulations, including approvals from agencies like the FDA, EMA, and regional authorities. The lack of standardized evaluation frameworks, evolving guidelines, and concerns over data privacy and patient safety can delay product launches and increase compliance costs. Variability in regional regulations further complicates global market entry. These challenges may hinder innovation and adoption, requiring developers and healthcare providers to navigate intricate legal frameworks.

Covid-19 Impact:

The COVID-19 pandemic has significantly influenced the Medical Imaging AI market, accelerating demand for automated and remote diagnostic tools. AI-assisted imaging helped clinicians rapidly detect lung abnormalities in COVID-19 patients, supporting early intervention and efficient resource allocation. Pandemic-driven disruptions in routine healthcare also highlighted the need for efficient imaging workflows and telehealth integration. Consequently, investment in AI solutions surged as hospitals and diagnostic centers sought scalable, accurate, and contactless diagnostic tools.

The machine learning segment is expected to be the largest during the forecast period

The machine learning segment is expected to account for the largest market share during the forecast period, as machine learning algorithms can learn from vast datasets, improving diagnostic accuracy over time and identifying complex patterns in medical images that may be missed by conventional analysis. These solutions support a wide range of applications, including tumor detection and organ segmentation. Their scalability and ability to continuously improve performance make them indispensable in diagnostic workflows, driving widespread adoption across hospitals, diagnostic centers, and research institutions globally.

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

Over the forecast period, the diagnostic centers segment is predicted to witness the highest growth rate, due to demand for quick and accurate diagnostic services has led these centers to adopt AI-powered imaging solutions that optimize workflow, reduce turnaround times, and enhance precision. Unlike large hospitals, diagnostic centers can implement AI tools more rapidly, benefiting from cost-effective solutions and specialized services. As these centers expand their imaging capabilities, integrating AI allows them to handle increased patient volumes efficiently and improve clinical decision making, fueling strong market growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, owing to region's advanced healthcare infrastructure, high adoption of cutting-edge technology, and strong R&D investments. The presence of major AI developers and established healthcare providers fosters rapid integration of AI solutions. Favorable reimbursement policies and growing focus on precision medicine further accelerate adoption. Increasing demand for early diagnosis, workflow efficiency, and data-driven clinical decision-making ensures that North America remains at the forefront of Medical Imaging AI growth globally.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to increasing prevalence of chronic diseases, and rising healthcare infrastructure investments drive demand. Governments are promoting AI adoption to enhance diagnostic efficiency, particularly in emerging economies like China and India. The expansion of diagnostic centers coupled with growing awareness of AI's clinical benefits, supports widespread deployment. Additionally, local partnerships and collaborations between technology providers and healthcare institutions facilitate accelerated integration of AI into regional healthcare systems.

Key players in the market

Some of the key players in Medical Imaging AI Market include GE HealthCare, Butterfly Network, Siemens Healthineers AG, EchoNous, Inc., Koninklijke Philips N.V., Avicenna.AI, IBM Watson Health, Agfa-Gevaert Group, NVIDIA Corporation, Gleamer, Microsoft Corporation, Canon Medical Systems, Aidoc, Arterys and Zebra Medical Vision.

Key Developments:

In September 2025, Philips and Masimo have renewed and expanded their multi year strategic partnership to accelerate development and delivery of next generation patient monitoring technologies, integrating Masimo's advanced measurement tools into Philips' platforms to enhance clinician decision making and connected care worldwide.

In July 2025, Philips and Medtronic have deepened their decades old alliance with a fresh multi year patient monitoring partnership, weaving Medtronic's leading sensors and technologies into Philips' systems to enhance clinical insight, streamline care delivery, and broaden global access to advanced monitoring solutions.

Components Covered:

  • Software
  • Services

Modalities Covered:

  • X-ray Imaging
  • CT (Computed Tomography)
  • MRI (Magnetic Resonance Imaging)
  • Ultrasound Imaging
  • PET (Positron Emission Tomography)
  • Mammography
  • Other Modalities

Technologies Covered:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)

Applications Covered:

  • Radiology Imaging
  • Cardiovascular Imaging
  • Oncology Imaging
  • Neurology Imaging
  • Musculoskeletal Imaging
  • Other Applications

End Users Covered:

  • Hospitals & Clinics
  • Diagnostic Centers
  • Research & Academic Institutes
  • Other End Users

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 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Medical Imaging AI Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services

6 Global Medical Imaging AI Market, By Modality

  • 6.1 Introduction
  • 6.2 X-ray Imaging
  • 6.3 CT (Computed Tomography)
  • 6.4 MRI (Magnetic Resonance Imaging)
  • 6.5 Ultrasound Imaging
  • 6.6 PET (Positron Emission Tomography)
  • 6.7 Mammography
  • 6.8 Other Modalities

7 Global Medical Imaging AI Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning
  • 7.3 Deep Learning
  • 7.4 Natural Language Processing (NLP)

8 Global Medical Imaging AI Market, By Application

  • 8.1 Introduction
  • 8.2 Radiology Imaging
  • 8.3 Cardiovascular Imaging
  • 8.4 Oncology Imaging
  • 8.5 Neurology Imaging
  • 8.6 Musculoskeletal Imaging
  • 8.7 Other Applications

9 Global Medical Imaging AI Market, By End User

  • 9.1 Introduction
  • 9.2 Hospitals & Clinics
  • 9.3 Diagnostic Centers
  • 9.4 Research & Academic Institutes
  • 9.5 Other End Users

11 Global Medical Imaging AI Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 GE HealthCare
  • 13.2 Butterfly Network
  • 13.3 Siemens Healthineers AG
  • 13.4 EchoNous, Inc.
  • 13.5 Koninklijke Philips N.V.
  • 13.6 Avicenna.AI
  • 13.7 IBM Watson Health
  • 13.8 Agfa-Gevaert Group
  • 13.9 NVIDIA Corporation
  • 13.10 Gleamer
  • 13.11 Microsoft Corporation
  • 13.12 Canon Medical Systems
  • 13.13 Aidoc
  • 13.14 Arterys
  • 13.15 Zebra Medical Vision

List of Tables

  • Table 1 Global Medical Imaging AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Medical Imaging AI Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Medical Imaging AI Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Medical Imaging AI Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Medical Imaging AI Market Outlook, By Modality (2024-2032) ($MN)
  • Table 6 Global Medical Imaging AI Market Outlook, By X-ray Imaging (2024-2032) ($MN)
  • Table 7 Global Medical Imaging AI Market Outlook, By CT (Computed Tomography) (2024-2032) ($MN)
  • Table 8 Global Medical Imaging AI Market Outlook, By MRI (Magnetic Resonance Imaging) (2024-2032) ($MN)
  • Table 9 Global Medical Imaging AI Market Outlook, By Ultrasound Imaging (2024-2032) ($MN)
  • Table 10 Global Medical Imaging AI Market Outlook, By PET (Positron Emission Tomography) (2024-2032) ($MN)
  • Table 11 Global Medical Imaging AI Market Outlook, By Mammography (2024-2032) ($MN)
  • Table 12 Global Medical Imaging AI Market Outlook, By Other Modalities (2024-2032) ($MN)
  • Table 13 Global Medical Imaging AI Market Outlook, By Technology (2024-2032) ($MN)
  • Table 14 Global Medical Imaging AI Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 15 Global Medical Imaging AI Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 16 Global Medical Imaging AI Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 17 Global Medical Imaging AI Market Outlook, By Application (2024-2032) ($MN)
  • Table 18 Global Medical Imaging AI Market Outlook, By Radiology Imaging (2024-2032) ($MN)
  • Table 19 Global Medical Imaging AI Market Outlook, By Cardiovascular Imaging (2024-2032) ($MN)
  • Table 20 Global Medical Imaging AI Market Outlook, By Oncology Imaging (2024-2032) ($MN)
  • Table 21 Global Medical Imaging AI Market Outlook, By Neurology Imaging (2024-2032) ($MN)
  • Table 22 Global Medical Imaging AI Market Outlook, By Musculoskeletal Imaging (2024-2032) ($MN)
  • Table 23 Global Medical Imaging AI Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 24 Global Medical Imaging AI Market Outlook, By End User (2024-2032) ($MN)
  • Table 25 Global Medical Imaging AI Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 26 Global Medical Imaging AI Market Outlook, By Diagnostic Centers (2024-2032) ($MN)
  • Table 27 Global Medical Imaging AI Market Outlook, By Research & Academic Institutes (2024-2032) ($MN)
  • Table 28 Global Medical Imaging AI Market Outlook, By Other End Users (2024-2032) ($MN)

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