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市场调查报告书
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1830689

2025年人工智慧医院能源优化全球市场报告

Artificial Intelligence-Driven Hospital Energy Optimization Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，利用人工智慧进行医院能源优化的市场规模呈指数级增长，从2024年的20.1亿美元增长到2025年的24.9亿美元，复合年增长率达23.9%。这段时期的成长可归因于医疗机构能源消耗的增加、智慧城市的发展、智慧型能源基础设施投资的增加、医院提升永续性排名的压力日益增大以及医院自动化倡议的不断扩展。

预计未来几年，人工智慧 (AI) 赋能的医院能源优化市场将呈指数级增长，到 2029 年将达到 58 亿美元，复合年增长率为 23.6%。预测期内的增长可归因于多种因素，例如对新兴病原体和抗菌素抗药性的日益担忧、人口老龄化、医疗 AI 在监测中的应用日益广泛、智慧医院基础设施的普及以及慢性病患病率的上升。预测期内的主要趋势包括人工智慧演算法的进步、人工智慧与物联网感测器的整合、机器学习模型的创新、云端运算的成长以及智慧电网技术的进步。

人工智慧 (AI)主导的医院能源优化采用 AI 来监控和管理医院内的能源使用，目的是提高能源效率、降低成本、最大限度地减少环境影响，同时保持医院平稳运作。

基于人工智慧的医院能源优化的关键组件包括软体、硬体和服务。软体是一个数位化系统，利用人工智慧持续追踪、评估和优化医院的能源消耗。它可以部署为本地或云端基础解决方案，适用于各种规模的医院，包括小型、中型和大型医院。应用包括暖气、通风和空调 (HVAC) 系统优化、照明控制、能源管理和设备监控。主要终端使用者包括公立、私立和专科医院以及其他医疗机构。

2025年春季美国突然提高关税以及由此引发的贸易摩擦严重影响了医疗保健产业，尤其是关键医疗设备、诊断设备和药品的供应。医院和医疗机构面临进口手术器械、影像设备以及注射器和导管等消耗品成本上涨的问题。这些成本上涨给医疗保健预算带来了巨大压力，导致一些医疗机构推迟设备升级或将成本转嫁给患者。此外，原料和零件的关税阻碍了基本药品和医疗设备的生产，造成了供应链瓶颈。作为应对措施，该行业正在实现筹资策略多元化，尽可能促进本地生产，并倡导对紧急医疗产品免关税。

本研究报告是商业研究公司（The Business Research Company）新报告系列的一部分，该系列提供人工智慧医院能源优化市场统计数据，例如全球市场规模、区域份额、竞争对手的市场份额、人工智慧医院能源优化的详细细分市场、市场趋势和商业机会，以及在人工智慧医院能源优化行业取得成功所需的数据。这份人工智慧医院能源优化市场研究报告透过对产业现状和未来趋势的详细分析，全面概述了您所需的一切。

智慧医院基础设施的日益普及预计将在未来几年推动人工智慧主导的医院能源优化市场的成长。智慧医院基础设施由先进的数位技术组成，这些技术能够实现高效的医疗服务、即时监控和医院资源的自动化管理。这种普及主要源自于对透过即时数据监控改善患者预后的需求，从而实现更快的诊断和个人化治疗，最终提高医疗品质和效率。智慧医院基础设施透过提供来自互联感测器和各种系统的即时数据来支援人工智慧驱动的医院能源优化，使人工智慧演算法能够分析能源使用模式并自动调整设定以降消费量并提高效率。例如，美国国家公共卫生机构疾病管制与预防中心 (CDC) 在 2024 年 12 月报告称，88.2% 的临床医生使用电子健康记录(EHR) 系统，77.8% 的医生已采用经过认证的 EHR 系统。因此，智慧医院基础设施的日益普及正在推动人工智慧主导的医院能源优化市场的成长。

日益增长的远端监控解决方案转变也有望推动人工智慧主导的医院能源优化市场。远端监控解决方案利用数位工具和技术在传统临床环境之外追踪患者的健康数据，从而实现持续护理和早期疗育。随着医疗保健提供者寻求即时患者洞察，实现持续健康追踪和及时干预，从而提高护理品质和效率，这一趋势正在获得发展动力。人工智慧驱动的医院能源管理系统有助于远端监控能源使用情况和设备性能，检测效率低下，预测维护需求，并使医院能够远端优化能源消耗。例如，2023 年 12 月，英国政府部门国家医疗服务体系 (NHS) 报告称其应用程式用户为 3,360 万，过去一年每月登入量从 1,680 万增加到 2,580 万，增加了 54%。因此，向远端监控解决方案的转变正在推动人工智慧主导的医院能源优化市场的成长。

人工智慧主导的医院能源优化市场的主要企业正专注于智慧能源管理，以加速在医疗机构中部署节能解决方案。智慧能源管理利用人工智慧、云端运算和物联网技术来监控、分析和自动优化医院能源系统（如暖通空调），以提高效率并降低消耗。例如，总部位于泰国的数位转型公司 True Digital Group 与中国云端运算供应商阿里云合作，于 2024 年 4 月推出气候技术平台。该平台将阿里云基于人工智慧的「能源专家」解决方案与云端、物联网和巨量资料分析结合，帮助泰国企业识别能源效率挑战、减少温室气体排放并采用永续技术。该平台支援即时能源管理和预测洞察，旨在加速泰国的绿色转型，到 2030 年将排放减少高达 40%，到 2050 年实现碳中和。曼谷医院的空调系统等先导计画已经证明能耗降低了高达 15%。

人工智慧赋能的医院能源优化市场由提供能源消耗监测与分析、预测性维护与故障检测以及自动化能源控制与调度等服务的营业单位所获得的收益所构成。市场价值包括服务供应商销售的或包含在其服务产品中的任何相关商品的价值。人工智慧赋能的医院能源优化市场还包括能源管理系统、预测性维护工具和能源使用分析仪表板的销售。该市场的价值是指“出厂价”，即商品製造商或生产商销售给其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接销售给最终客户的商品价值。该市场中的商品价值还包括商品製造商销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧在医院能源优化的应用：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球人工智慧医院能源优化市场：成长率分析
  • 全球人工智慧医院能源优化市场表现：规模与成长，2019-2024
  • 全球人工智慧医院能源优化市场预测：规模与成长，2024-2029年，2034年
  • 全球人工智慧医院能源优化：总目标市场（TAM）

第六章 市场细分

  • 全球基于人工智慧的医院能源优化市场：按组成部分、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 硬体
  • 服务
  • 全球基于人工智慧的医院能源优化市场：按部署模式、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球基于人工智慧的医院能源优化市场（按医院规模、实际情况和预测），2019-2024 年、2024-2029 年、2034 年
  • 中小型医院
  • 大型医院
  • 全球基于人工智慧的医院能源优化市场：按应用、绩效和预测，2019-2024 年、2024-2029 年、2034 年
  • 优化暖气、通风和空调
  • 照明控制
  • 能源管理
  • 设备监控
  • 其他用途
  • 全球基于人工智慧的医院能源优化市场：按最终用户、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 公立医院
  • 私立医院
  • 专科医院
  • 其他最终用户
  • 全球人工智慧医院能源优化市场：按软体类型细分、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 能源管理软体
  • 建筑自动化软体
  • 预测性维护软体
  • 数据分析和视觉化工具
  • 人工智慧演算法和优化引擎
  • 全球人工智慧医院能源优化市场：按硬体（类型）细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 智慧感测器和物联网设备
  • 智慧电錶
  • 控制器和致动器
  • 暖气、通风和空调系统
  • 照明控制系统
  • 边缘设备及网关
  • 全球人工智慧医院能源优化市场：按服务类型、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询和顾问服务
  • 安装和整合服务
  • 维护和支援服务
  • 能源审核服务
  • 培训和教育服务

第七章 区域和国家分析

  • 全球以人工智慧为基础的医院能源优化市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球以人工智慧为基础的医院能源优化市场：国家、绩效及预测（2019-2024 年、2024-2029 年及 2034 年）

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 基于人工智慧的医院能源优化市场：竞争格局
  • 人工智慧医院能源优化市场：公司简介
    • Enel SpA Overview, Products and Services, Strategy and Financial Analysis
    • General Electric Company Overview, Products and Services, Strategy and Financial Analysis
    • Veolia Environnement SA Overview, Products and Services, Strategy and Financial Analysis
    • Schneider Electric SE Overview, Products and Services, Strategy and Financial Analysis
    • Honeywell International Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • ABB Group
  • Eaton Corporation Plc
  • Johnson Controls International Plc
  • Trane Technologies Plc
  • Centrica Business Solutions Ltd.
  • Rockwell Automation Inc.
  • Ameresco Inc.
  • ENGIE Impact
  • GridPoint Inc.
  • Optimum Energy LLC
  • Verdigris Technologies
  • Enerbrain
  • BuildingIQ Inc.
  • Deerns
  • Resync

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧医院能源优化市场：提供新机会的国家
  • 2029年人工智慧医院能源优化市场：细分领域带来新机会
  • 2029年人工智慧医院能源优化市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r37676

Artificial intelligence (AI)-driven hospital energy optimization employs AI to monitor and manage energy usage within hospitals. Its goal is to improve energy efficiency, reduce costs, and minimize environmental impact while maintaining smooth hospital operations.

The primary components of AI-driven hospital energy optimization include software, hardware, and services. The software is a digital system that uses AI to continuously track, assess, and enhance hospital energy consumption. It can be deployed through on-premises or cloud-based solutions and is utilized by hospitals of various sizes, including small, medium, and large facilities. Applications include optimization of heating, ventilation, and air conditioning (HVAC) systems, lighting control, energy management, equipment monitoring, and more. Key end users include public hospitals, private hospitals, specialty hospitals, and other healthcare facilities.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

The artificial intelligence-driven hospital energy optimization market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence-driven hospital energy optimization market statistics, including artificial intelligence-driven hospital energy optimization industry global market size, regional shares, competitors with a artificial intelligence-driven hospital energy optimization market share, detailed artificial intelligence-driven hospital energy optimization market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence-driven hospital energy optimization industry. This artificial intelligence-driven hospital energy optimization market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence-driven hospital energy optimization market size has grown exponentially in recent years. It will grow from $2.01 billion in 2024 to $2.49 billion in 2025 at a compound annual growth rate (CAGR) of 23.9%. The growth during the historical period can be attributed to rising energy consumption in healthcare facilities, the development of smart cities, increasing investments in smart energy infrastructure, growing pressure to enhance hospital sustainability rankings, and the expansion of hospital automation initiatives.

The artificial intelligence-driven hospital energy optimization market size is expected to see exponential growth in the next few years. It will grow to $5.80 billion in 2029 at a compound annual growth rate (CAGR) of 23.6%. The growth during the forecast period can be attributed to increasing concerns over emerging pathogens and antimicrobial resistance, an expanding aging population, rising adoption of healthcare artificial intelligence in research, growing implementation of smart hospital infrastructure, and the increasing prevalence of chronic diseases. Key trends expected in the forecast period include advancements in AI algorithms, integration of AI with IoT sensors, innovations in machine learning models, developments in cloud computing, and progress in smart grid technology.

The rising adoption of smart hospital infrastructure is expected to drive the growth of the AI-driven hospital energy optimization market in the coming years. Smart hospital infrastructure consists of advanced digital technologies that enable efficient healthcare delivery, real-time monitoring, and automated management of hospital resources. This adoption is primarily fueled by the need to improve patient outcomes through real-time data monitoring, allowing faster diagnoses and personalized treatment, ultimately enhancing the quality and efficiency of care. Smart hospital infrastructure supports AI-driven hospital energy optimization by providing interconnected sensors and real-time data from various systems, allowing AI algorithms to analyze energy usage patterns and automatically adjust settings to reduce consumption and improve efficiency. For example, in December 2024, the Centers for Disease Control and Prevention (CDC), a US-based national public health agency, reported that 88.2% of office-based physicians were using electronic health records (EHR) systems, with 77.8% adopting certified EHR systems. As a result, the increasing implementation of smart hospital infrastructure is driving the growth of the AI-driven hospital energy optimization market.

The growing shift towards remote monitoring solutions is also expected to propel the AI-driven hospital energy optimization market. Remote monitoring solutions utilize digital tools and technologies to track patient health data outside traditional clinical settings, enabling continuous care and early intervention. This trend is gaining momentum as healthcare providers seek real-time patient insights, allowing continuous health tracking and timely interventions, thereby improving care quality and efficiency. AI-driven hospital energy management systems facilitate remote monitoring of energy usage and equipment performance, detecting inefficiencies, forecasting maintenance needs, and enabling hospitals to optimize energy consumption remotely. For instance, in December 2023, the National Health Service (NHS), a UK-based government department, reported 33.6 million app users, with monthly logins increasing by 54% over the past year, from 16.8 million to 25.8 million. Therefore, the shift toward remote monitoring solutions is fueling growth in the AI-driven hospital energy optimization market.

Key players in the AI-driven hospital energy optimization market are focusing on intelligent energy management to accelerate the deployment of energy-efficient solutions across healthcare facilities. Intelligent energy management involves using AI, cloud computing, and IoT technologies to monitor, analyze, and automatically optimize hospital energy systems, such as HVAC, for improved efficiency and reduced consumption. For example, in April 2024, True Digital Group, a Thailand-based digital transformation company, partnered with Alibaba Cloud, a China-based cloud computing provider, to launch the Climate Technology Platform. The platform leverages Alibaba Cloud's AI-driven "Energy Expert" solution combined with cloud, IoT, and big data analytics to help businesses in Thailand identify energy efficiency challenges, reduce greenhouse gas emissions, and adopt sustainable technologies. It supports real-time energy management and predictive insights, aiming to accelerate Thailand's green transition and reduce emissions by up to 40% by 2030, with the goal of achieving carbon neutrality by 2050. Pilot projects, such as the HVAC system at Bangkok Hospital, have already demonstrated energy consumption reductions of up to 15%.

Major players in the artificial intelligence-driven hospital energy optimization market are Enel S.p.A., General Electric Company, Veolia Environnement S.A., Schneider Electric SE, Honeywell International Inc., ABB Group, Eaton Corporation Plc, Johnson Controls International Plc, Trane Technologies Plc, Centrica Business Solutions Ltd., Rockwell Automation Inc., Ameresco Inc., ENGIE Impact, GridPoint Inc., Optimum Energy LLC, Verdigris Technologies, Enerbrain, BuildingIQ Inc., Deerns, Resync.

North America was the largest region in the artificial intelligence-driven hospital energy optimization market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence-driven hospital energy optimization market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence-driven hospital energy optimization market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence-driven hospital energy optimization market consists of revenues earned by entities by providing services such as energy consumption monitoring and analysis, predictive maintenance and fault detection, and automated energy control and scheduling. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence-driven hospital energy optimization market also includes sales of energy management systems, predictive maintenance tools, and energy usage analytics dashboards. Values in this market are 'factory gate' values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence-Driven Hospital Energy Optimization Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence-driven hospital energy optimization market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for artificial intelligence-driven hospital energy optimization ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence-driven hospital energy optimization market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Deployment Mode: On-Premises; Cloud
  • 3) By Hospital Size: Small And Medium Hospitals; Large Hospitals
  • 4) By Application: Heating, Ventilation, And Air Conditioning Optimization; Lighting Control; Energy Management; Equipment Monitoring; Other Applications
  • 5) By End-User: Public Hospitals; Private Hospitals; Specialty Hospitals; Other End-Users
  • Subsegments:
  • 1) By Software: Energy Management Software; Building Automation Software; Predictive Maintenance Software; Data Analytics and Visualization Tools; Artificial Intelligence Algorithms And Optimization Engines
  • 2) By Hardware: Smart Sensors And Internet Of Things Devices; Smart Meters; Controllers And Actuators; Heating, Ventilation, And Air Conditioning Systems; Lighting Control Systems; Edge Devices And Gateways
  • 3) By Services: Consulting And Advisory Services; Installation And Integration Services; Maintenance And Support Services; Energy Auditing Services; Training And Education Services
  • Companies Mentioned: Enel S.p.A.; General Electric Company; Veolia Environnement S.A.; Schneider Electric SE; Honeywell International Inc.; ABB Group; Eaton Corporation Plc; Johnson Controls International Plc; Trane Technologies Plc; Centrica Business Solutions Ltd.; Rockwell Automation Inc.; Ameresco Inc.; ENGIE Impact; GridPoint Inc.; Optimum Energy LLC; Verdigris Technologies; Enerbrain; BuildingIQ Inc.; Deerns; Resync
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence-Driven Hospital Energy Optimization Market Characteristics

3. Artificial Intelligence-Driven Hospital Energy Optimization Market Trends And Strategies

4. Artificial Intelligence-Driven Hospital Energy Optimization Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence-Driven Hospital Energy Optimization Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence-Driven Hospital Energy Optimization PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence-Driven Hospital Energy Optimization Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence-Driven Hospital Energy Optimization Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence-Driven Hospital Energy Optimization Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence-Driven Hospital Energy Optimization Total Addressable Market (TAM)

6. Artificial Intelligence-Driven Hospital Energy Optimization Market Segmentation

  • 6.1. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Hospitals
  • Large Hospitals
  • 6.4. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Heating, Ventilation, And Air Conditioning Optimization
  • Lighting Control
  • Energy Management
  • Equipment Monitoring
  • Other Applications
  • 6.5. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Public Hospitals
  • Private Hospitals
  • Specialty Hospitals
  • Other End-Users
  • 6.6. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Energy Management Software
  • Building Automation Software
  • Predictive Maintenance Software
  • Data Analytics And Visualization Tools
  • Artificial Intelligence Algorithms And Optimization Engines
  • 6.7. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Smart Sensors And Internet Of Things Devices
  • Smart Meters
  • Controllers And Actuators
  • Heating, Ventilation, And Air Conditioning Systems
  • Lighting Control Systems
  • Edge Devices And Gateways
  • 6.8. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting And Advisory Services
  • Installation And Integration Services
  • Maintenance And Support Services
  • Energy Auditing Services
  • Training And Education Services

7. Artificial Intelligence-Driven Hospital Energy Optimization Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence-Driven Hospital Energy Optimization Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 8.1. Asia-Pacific Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 9.1. China Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 9.2. China Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 10.1. India Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 11.1. Japan Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 11.2. Japan Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 12.1. Australia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 13.1. Indonesia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 14.1. South Korea Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 14.2. South Korea Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 15.1. Western Europe Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 15.2. Western Europe Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 16.1. UK Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 17.1. Germany Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 18.1. France Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 19.1. Italy Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 20.1. Spain Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 21.1. Eastern Europe Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 21.2. Eastern Europe Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 22.1. Russia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 23.1. North America Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 23.2. North America Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 24.1. USA Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 24.2. USA Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 25.1. Canada Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 25.2. Canada Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 26.1. South America Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 26.2. South America Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 27.1. Brazil Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 28.1. Middle East Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 28.2. Middle East Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence-Driven Hospital Energy Optimization Market

  • 29.1. Africa Artificial Intelligence-Driven Hospital Energy Optimization Market Overview
  • 29.2. Africa Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence-Driven Hospital Energy Optimization Market, Segmentation By Hospital Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence-Driven Hospital Energy Optimization Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence-Driven Hospital Energy Optimization Market Competitive Landscape
  • 30.2. Artificial Intelligence-Driven Hospital Energy Optimization Market Company Profiles
    • 30.2.1. Enel S.p.A. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. General Electric Company Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Veolia Environnement S.A. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Schneider Electric SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Honeywell International Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence-Driven Hospital Energy Optimization Market Other Major And Innovative Companies

  • 31.1. ABB Group
  • 31.2. Eaton Corporation Plc
  • 31.3. Johnson Controls International Plc
  • 31.4. Trane Technologies Plc
  • 31.5. Centrica Business Solutions Ltd.
  • 31.6. Rockwell Automation Inc.
  • 31.7. Ameresco Inc.
  • 31.8. ENGIE Impact
  • 31.9. GridPoint Inc.
  • 31.10. Optimum Energy LLC
  • 31.11. Verdigris Technologies
  • 31.12. Enerbrain
  • 31.13. BuildingIQ Inc.
  • 31.14. Deerns
  • 31.15. Resync

32. Global Artificial Intelligence-Driven Hospital Energy Optimization Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence-Driven Hospital Energy Optimization Market

34. Recent Developments In The Artificial Intelligence-Driven Hospital Energy Optimization Market

35. Artificial Intelligence-Driven Hospital Energy Optimization Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence-Driven Hospital Energy Optimization Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence-Driven Hospital Energy Optimization Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence-Driven Hospital Energy Optimization Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer