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市場調查報告書
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1830689

2025年人工智慧醫院能源最佳化全球市場報告

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個工作天內

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簡介目錄

近年來，利用人工智慧進行醫院能源最佳化的市場規模呈指數級成長，從2024年的20.1億美元成長到2025年的24.9億美元，複合年成長率達23.9%。這段時期的成長可歸因於醫療機構能源消耗的增加、智慧城市的發展、智慧型能源基礎設施投資的增加、醫院提升永續性排名的壓力日益增大以及醫院自動化舉措的不斷擴展。

預計未來幾年，人工智慧 (AI) 賦能的醫院能源最佳化市場將呈指數級成長，到 2029 年將達到 58 億美元，複合年成長率為 23.6%。預測期內的成長可歸因於多種因素，例如對新興病原體和抗菌素抗藥性的日益擔憂、人口老齡化、醫療 AI 在監測中的應用日益廣泛、智慧醫院基礎設施的普及以及慢性病患病率的上升。預測期內的主要趨勢包括人工智慧演算法的進步、人工智慧與物聯網感測器的整合、機器學習模型的創新、雲端運算的成長以及智慧電網技術的進步。

人工智慧 (AI)主導的醫院能源最佳化採用 AI 來監控和管理醫院內的能源使用，目的是提高能源效率、降低成本、最大限度地減少環境影響，同時保持醫院平穩運作。

基於人工智慧的醫院能源最佳化的關鍵組件包括軟體、硬體和服務。軟體是一個數位化系統，利用人工智慧持續追蹤、評估和最佳化醫院的能源消耗。它可以部署為本地或雲端基礎解決方案，適用於各種規模的醫院，包括小型、中型和大型醫院。應用包括暖氣、通風和空調 (HVAC) 系統最佳化、照明控制、能源管理和設備監控。主要終端使用者包括公立、私立和專科醫院以及其他醫療機構。

2025年春季美國突然提高關稅以及由此引發的貿易摩擦嚴重影響了醫療保健產業，尤其是關鍵醫療設備、診斷設備和藥品的供應。醫院和醫療機構面臨進口手術器械、影像設備以及注射器和導管等消耗品成本上漲的問題。這些成本上漲給醫療保健預算帶來了巨大壓力，導致一些醫療機構推遲設備升級或將成本轉嫁給患者。此外，原料和零件的關稅阻礙了基本藥品和醫療設備的生產，造成了供應鏈瓶頸。作為應對措施，該行業正在實現籌資策略多元化，盡可能促進本地生產，並倡導對緊急醫療產品免關稅。

本研究報告是商業研究公司（The Business Research Company）新報告系列的一部分，該系列提供人工智慧醫院能源最佳化市場統計數據，例如全球市場規模、區域佔有率、競爭對手的市場佔有率、人工智慧醫院能源最佳化的詳細細分市場、市場趨勢和商業機會，以及在人工智慧醫院能源最佳化行業取得成功所需的數據。這份人工智慧醫院能源最佳化市場研究報告透過對產業現狀和未來趨勢的詳細分析，全面概述了您所需的一切。

智慧醫院基礎設施的日益普及預計將在未來幾年推動人工智慧主導的醫院能源最佳化市場的成長。智慧醫院基礎設施由先進的數位技術組成，這些技術能夠實現高效的醫療服務、即時監控和醫院資源的自動化管理。這種普及主要源自於對透過即時數據監控改善患者預後的需求，從而實現更快的診斷和個人化治療，最終提高醫療品質和效率。智慧醫院基礎設施透過提供來自互聯感測器和各種系統的即時數據來支援人工智慧驅動的醫院能源最佳化，使人工智慧演算法能夠分析能源使用模式並自動調整設定以降消費量並提高效率。例如，美國國家公共衛生機構疾病管制與預防中心 (CDC) 在 2024 年 12 月報告稱，88.2% 的臨床醫生使用電子健康記錄(EHR) 系統，77.8% 的醫生已採用經過認證的 EHR 系統。因此，智慧醫院基礎設施的日益普及正在推動人工智慧主導的醫院能源最佳化市場的成長。

日益成長的遠端監控解決方案轉變也有望推動人工智慧主導的醫院能源最佳化市場。遠端監控解決方案利用數位工具和技術在傳統臨床環境之外追蹤患者的健康數據，從而實現持續護理和早期療育。隨著醫療保健提供者尋求即時患者洞察，實現持續健康追蹤和及時干預，從而提高護理品質和效率，這一趨勢正在獲得發展動力。人工智慧驅動的醫院能源管理系統有助於遠端監控能源使用情況和設備性能，檢測效率低下，預測維護需求，並使醫院能夠遠端最佳化能源消耗。例如，2023 年 12 月，英國政府部門國家醫療服務體系 (NHS) 報告稱其應用程式用戶為 3,360 萬，過去一年每月登入量從 1,680 萬增加到 2,580 萬，增加了 54%。因此，向遠端監控解決方案的轉變正在推動人工智慧主導的醫院能源最佳化市場的成長。

人工智慧主導的醫院能源最佳化市場的主要企業正專注於智慧能源管理，以加速在醫療機構中部署節能解決方案。智慧能源管理利用人工智慧、雲端運算和物聯網技術來監控、分析和自動最佳化醫院能源系統（如暖通空調），以提高效率並降低消耗。例如，總部位於泰國的數位轉型公司 True Digital Group 與中國雲端運算供應商阿里雲合作，於 2024 年 4 月推出氣候技術平台。該平台將阿里雲基於人工智慧的「能源專家」解決方案與雲端、物聯網和巨量資料分析結合，幫助泰國企業識別能源效率挑戰、減少溫室氣體排放並採用永續技術。該平台支援即時能源管理和預測洞察，旨在加速泰國的綠色轉型，到 2030 年將排放減少高達 40%，到 2050 年實現碳中和。曼谷醫院的空調系統等先導計畫已經證明能耗降低了高達 15%。

人工智慧賦能的醫院能源最佳化市場由提供能源消耗監測與分析、預測性維護與故障檢測以及自動化能源控制與調度等服務的營業單位所獲得的收益所構成。市場價值包括服務供應商銷售的或包含在其服務產品中的任何相關商品的價值。人工智慧賦能的醫院能源最佳化市場還包括能源管理系統、預測性維護工具和能源使用分析儀表板的銷售。該市場的價值是指“出廠價”，即商品製造商或生產商銷售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的商品價值。該市場中的商品價值還包括商品製造商銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧在醫院能源最佳化的應用：PESTEL分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球人工智慧醫院能源最佳化市場：成長率分析
  • 全球人工智慧醫院能源最佳化市場表現：規模與成長，2019-2024
  • 全球人工智慧醫院能源最佳化市場預測：規模與成長，2024-2029年，2034年
  • 全球人工智慧醫院能源最佳化：總目標市場（TAM）

第6章 市場細分

  • 全球基於人工智慧的醫院能源最佳化市場：按組成部分、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 硬體
  • 服務
  • 全球基於人工智慧的醫院能源最佳化市場：按部署模式、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 雲
  • 全球基於人工智慧的醫院能源最佳化市場（按醫院規模、實際情況和預測），2019-2024 年、2024-2029 年、2034 年
  • 中小型醫院
  • 大型醫院
  • 全球基於人工智慧的醫院能源最佳化市場：按應用、績效和預測，2019-2024 年、2024-2029 年、2034 年
  • 最佳化暖氣、通風和空調
  • 照明控制
  • 能源管理
  • 設備監控
  • 其他用途
  • 全球基於人工智慧的醫院能源最佳化市場：按最終用戶、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 公立醫院
  • 私立醫院
  • 專科醫院
  • 其他最終用戶
  • 全球人工智慧醫院能源最佳化市場：按軟體類型細分、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 能源管理軟體
  • 建築自動化軟體
  • 預測性維護軟體
  • 數據分析和視覺化工具
  • 人工智慧演算法和最佳化引擎
  • 全球人工智慧醫院能源最佳化市場：按硬體（類型）細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 智慧感測器和物聯網設備
  • 智慧電錶
  • 控制器和致動器
  • 暖氣、通風和空調系統
  • 照明控制系統
  • 邊緣設備及閘道器
  • 全球人工智慧醫院能源最佳化市場：按服務類型、績效和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 諮詢和顧問服務
  • 安裝和整合服務
  • 維護和支援服務
  • 能源審核服務
  • 培訓和教育服務

第7章 區域和國家分析

  • 全球以人工智慧為基礎的醫院能源最佳化市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球以人工智慧為基礎的醫院能源最佳化市場：國家、績效及預測（2019-2024 年、2024-2029 年及 2034 年）

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 基於人工智慧的醫院能源最佳化市場：競爭格局
  • 人工智慧醫院能源最佳化市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧醫院能源最佳化市場：提供新機會的國家
  • 2029年人工智慧醫院能源最佳化市場：細分領域帶來新機會
  • 2029年人工智慧醫院能源最佳化市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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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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