2026年智慧建築與基礎設施人工智慧全球市場報告

近年來，智慧建築和基礎設施領域的人工智慧市場發展迅速。預計該市場規模將從2025年的357.8億美元成長到2026年的434.8億美元，年複合成長率達21.5%。過去幾年的成長主要歸功於建築管理系統的普及、日益嚴格的能源效率法規、物聯網感測器的應用、城市基礎設施的現代化以及對降低營運成本日益成長的需求。

預計未來幾年，智慧建築和基礎設施領域的人工智慧市場將快速成長，到2030年將達到934.8億美元，複合年成長率（CAGR）為21.1%。預測期內的成長要素包括智慧城市計畫的擴展、更嚴格的永續性法規、邊緣人工智慧設備的進步、對自動化設施管理日益成長的需求以及人工智慧與數位雙胞胎技術的融合。預測期內的關鍵趨勢包括人工智慧驅動的建築自動化、基礎設施預測性維護、人工智慧驅動的能源最佳化、智慧安防監控系統以及居住者為中心的智慧建築系統。

對節能環保永續建築解決方案日益成長的需求預計將推動人工智慧在智慧建築和基礎設施領域的應用。節能環保永續建築解決方案旨在設計和實施能夠降低能耗、最大限度減少環境影響並提升建築長期永續性的系統。這種需求的成長主要源自於人們對環境問題和氣候變遷影響的日益關注。此類解決方案有助於減少碳足跡、降低能源成本，並確保符合政府更嚴格的永續性法規。人工智慧透過自動化暖通空調控制、照明和預測性維護，助力智慧建築最佳化能耗，進而提高效率和永續性。例如，根據英國能源安全與淨零排放部於2024年3月發布的報告，2023年英國透過政府支持的專案在房產中實施了318,600項節能措施，比2022年增加了49%。在此背景下，對節能環保永續建築解決方案日益成長的需求正在推動人工智慧在智慧建築和基礎設施領域的市場成長。

在智慧建築和基礎設施人工智慧市場中，主要企業正致力於技術創新，例如智慧自主建築控制平台，以提高能源效率、提升居住者舒適度並增強整體營運效能。智慧自主建築控制平台是一種先進的自主系統，它利用人工智慧功能和感測器數據，自動調節和最佳化建築運營，涵蓋能源管理、環境狀況和安全功能等方面。例如，2025年6月，總部位於美國的跨國科技和工業公司Honeywell國際公司推出了一項由人工智慧驅動的建築管理解決方案，旨在簡化設施營運、降低能耗並增強預測性維護能力。該解決方案將基於人工智慧的分析與互聯感測器結合，提供即時洞察，實現系統自動最佳化，並及早發現低效環節。Honeywell的人工智慧平台透過促進更明智的決策和最大限度地降低營運成本，協助打造更永續、更高效能的智慧建築和基礎設施。

目錄

第1章：執行摘要

第2章 市場特徵

• 市場定義和範圍
• 市場區隔
• 主要產品和服務概述
• 全球人工智慧市場在智慧建築與基礎設施領域的應用：吸引力評分與分析
• 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

• 供應鏈與生態系概述
• 清單：主要原料、資源和供應商
• 主要經銷商和通路合作夥伴名單
• 主要最終用戶列表

第4章：全球市場趨勢與策略

• 關鍵科技與未來趨勢
  • 物聯網、智慧基礎設施、互聯生態系統
  • 人工智慧（AI）和自主人工智慧
  • 永續性、氣候技術、循環經濟
  • 數位化、雲端運算、巨量資料、網路安全
  • 工業4.0和智慧製造
• 主要趨勢
  • 人工智慧驅動的建築自動化
  • 基礎設施的預測性維護
  • 人工智慧驅動的能源最佳化
  • 智慧安防監控
  • 居住者為中心的智慧建築系統

第5章 終端用戶產業市場分析

• 商業建築運營商
• 住宅房地產開發商
• 工業設施所有者
• 政府基礎設施部門
• 醫療設施營運商

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

• 全球智慧建築與基礎設施人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
• 全球人工智慧市場規模、對比及成長率分析（適用於智慧建築和基礎設施）
• 全球人工智慧市場在智慧建築和基礎設施領域的表現：規模和成長，2020-2025年
• 全球人工智慧市場在智慧建築和基礎設施領域的預測：規模和成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

• 按類型
• 軟體、硬體和服務
• 透過技術
• 機器學習、自然語言處理、電腦視覺、機器人流程自動化及其他技術
• 透過使用
• 建築自動化、能源管理、安防監控、預測性維護、智慧停車及其他應用
• 按最終用戶行業分類
• 商業建築、住宅、工業建築、政府設施、醫療設施、教育機構、零售商店和其他終端用戶行業
• 按類型細分：軟體
• 人工智慧驅動的建築管理系統 (BMS)、能源管理軟體、預測性維護解決方案、安全性和監控分析、空間最佳化和利用率提升軟體、暖通空調最佳化軟體、智慧照明控制軟體
• 按類型細分：硬體
• 感測器、邊緣人工智慧設備、物聯網閘道器、人工智慧攝影機和監控設備、智慧電錶和智慧電網以及用於設施管理的機器人。
• 按類型細分：服務
• 人工智慧諮詢和實施服務、系統整合服務、人工智慧託管服務、預測性維護服務、人工智慧培訓和支援服務、面向智慧建築的雲端人工智慧服務

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

• 全球智慧建築與基礎設施人工智慧市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
• 全球智慧建築與基礎設施人工智慧市場：按國家/地區分類，實際數據和預測數據，2020-2025 年、2025-2030 年、2035 年

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

• 人工智慧在智慧建築和基礎設施領域的市場：競爭格局和市場佔有率（2024 年）
• 智慧建築與基礎設施領域的人工智慧市場：公司估值矩陣
• 智慧建築與基礎設施領域的人工智慧市場：公司概況
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services Inc.
  • Robert Bosch GmbH
  • Hitachi Ltd.

第38章 其他大型企業和創新企業

• Siemens AG, Intel Corporation, Panasonic Corporation, International Business Machines Corporation（IBM）, Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., ABB Ltd, NEC Corporation, Johnson Controls International plc, Samsung SDS, Autodesk Inc., Terminus Group, GridPoint Inc.

第39章 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

• 2030年智慧建築與基礎設施領域的人工智慧市場：提供新機會的國家
• 2030年智慧建築與基礎設施領域的人工智慧市場：充滿新機會的細分市場
• 2030年智慧建築與基礎設施領域的人工智慧市場：成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第42章附錄

The artificial intelligence (AI) in smart buildings and infrastructure refers to the integration of AI technologies into the design, operation, and management of buildings and urban infrastructure. This enables automation, efficiency, sustainability, and enhanced user experience through data-driven decision-making.

The primary types of AI in smart buildings and infrastructure are software, hardware, and services. Software for AI in smart buildings and infrastructure involves systems that enhance automation, efficiency, security, and sustainability. These software solutions leverage artificial intelligence (AI) to optimize operations, improve user experiences, and reduce costs. Various technologies involved, such as machine learning, natural language processing, computer vision, robotic process automation, and others, cater to applications including building automation, energy management, security and surveillance, predictive maintenance, smart parking, and more. These serve end-user industries such as commercial buildings, residential buildings, industrial buildings, government buildings, healthcare facilities, educational institutions, retail spaces, and others.

Tariffs have impacted the AI in smart buildings and infrastructure market by increasing costs for imported sensors, edge AI devices, and smart metering equipment. Commercial and government building projects in North America and Europe are particularly affected due to reliance on global electronics supply chains. Higher costs have slowed deployment of large-scale smart infrastructure projects. Building owners are responding by prioritizing phased implementations and high-impact use cases. Tariffs are also encouraging local production of smart building hardware. This is supporting domestic technology providers and improving long-term supply stability.

The AI in smart buildings and infrastructure market research report is one of a series of new reports from The Business Research Company that provides AI in smart buildings and infrastructure market statistics, including AI in smart buildings and infrastructure industry global market size, regional shares, competitors with a AI in smart buildings and infrastructure market share, detailed AI in smart buildings and infrastructure market segments, market trends and opportunities, and any further data you may need to thrive in the AI in smart buildings and infrastructure industry. This AI in smart buildings and infrastructure 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 AI in smart buildings and infrastructure market size has grown exponentially in recent years. It will grow from $35.78 billion in 2025 to $43.48 billion in 2026 at a compound annual growth rate (CAGR) of 21.5%. The growth in the historic period can be attributed to growth of building management systems, rising energy efficiency regulations, adoption of iot sensors, urban infrastructure modernization, demand for operational cost reduction.

The AI in smart buildings and infrastructure market size is expected to see exponential growth in the next few years. It will grow to $93.48 billion in 2030 at a compound annual growth rate (CAGR) of 21.1%. The growth in the forecast period can be attributed to expansion of smart city initiatives, increasing sustainability mandates, advancements in edge AI devices, rising demand for automated facility management, integration of AI with digital twins. Major trends in the forecast period include AI-driven building automation, predictive maintenance for infrastructure, energy optimization using ai, intelligent security and surveillance, occupant-centric smart building systems.

The increasing demand for energy-efficient and sustainable building solutions is expected to drive the growth of AI in smart buildings and infrastructure. Energy-efficient and sustainable building solutions aim to design and implement systems that reduce energy consumption, minimize environmental impact, and enhance long-term sustainability in buildings. This growing demand is largely due to heightened environmental concerns and the effects of climate change. Such solutions help decrease carbon footprints, lower energy costs, and ensure compliance with stricter government regulations on sustainability. AI contributes to optimizing energy consumption in smart buildings by automating climate control, lighting, and predictive maintenance, leading to improved efficiency and sustainability. For example, in March 2024, the Department for Energy Security and Net Zero in the UK reported that 318,600 energy efficiency measures were installed in 2023 across properties in Great Britain through government support programs, a 49% increase from 2022. As a result, the rising need for energy-efficient and sustainable building solutions is fueling the growth of AI in the smart buildings and infrastructure market.

Major companies operating in the AI in smart buildings and infrastructure market are emphasizing technological innovation, such as intelligent autonomous building control platforms, to improve energy efficiency, elevate occupant comfort, and enhance overall operational performance. Intelligent autonomous building control platforms are advanced, self-governing systems that use AI capabilities and sensor-derived data to automatically regulate and optimize building operations across energy management, environmental conditions, and security functions. For example, in June 2025, Honeywell International Inc., a US-based multinational technology and industrial company, introduced an AI-driven building management solution aimed at simplifying facility operations, lowering energy usage, and strengthening predictive maintenance capabilities. The solution combines AI-based analytics with interconnected sensors to deliver real-time insights, enable automated system optimization, and detect inefficiencies at an early stage. By facilitating more informed decision-making and minimizing operational expenses, Honeywell's AI-enabled platform contributes to the development of more sustainable, resilient, and high-performing smart buildings and infrastructure.

In December 2024, Trane Technologies Plc, an industrial machinery manufacturing company based in Ireland, acquired BrainBox AI, a Canadian AI technology company specializing in smart building solutions and HVAC energy efficiency. This acquisition enhances Trane Technologies' advanced building management and digital capabilities by leveraging BrainBox AI's AI technology to reduce energy consumption and greenhouse gas emissions in commercial buildings.

Major companies operating in the AI in smart buildings and infrastructure market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Robert Bosch GmbH, Hitachi Ltd., Siemens AG, Intel Corporation, Panasonic Corporation, International Business Machines Corporation (IBM), Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., ABB Ltd, NEC Corporation, Johnson Controls International plc, Samsung SDS, Autodesk Inc., Terminus Group, GridPoint Inc., Verdigris Technologies, BuildingIQ Inc., Built Robotics

North America was the largest region in the AI in smart buildings and infrastructure market in 2025. The regions covered in the AI in smart buildings and infrastructure market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the AI in smart buildings and infrastructure market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in smart buildings and infrastructure market consists of revenues earned by entities providing services such as intelligent automation, predictive maintenance, and energy management. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in smart buildings and infrastructure market also includes sales of motion sensors, temperature and humidity sensors, smart meters, and cameras. 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.

AI In Smart Buildings And Infrastructure Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses AI in smart buildings and infrastructure 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 AI in smart buildings and infrastructure ? 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 AI in smart buildings and infrastructure 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• 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.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Type: Software; Hardware; Services
• 2) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Robotic Process Automation; Other Technologies
• 3) By Application: Building Automation; Energy Management; Security And Surveillance; Predictive Maintenance; Smart Parking; Other Applications
• 4) By End-User Industry: Commercial Buildings; Residential Buildings; Industrial Buildings; Government Buildings; Healthcare Facilities; Educational Institutions; Retail Spaces; Other End User Industries
• Subsegments:
• 1) By Software: AI-Powered Building Management Systems (BMS); Energy Management Software; Predictive Maintenance Solutions; Security And Surveillance Analytics; Space Optimization And Utilization Software; HVAC Optimization Software; Smart Lighting Control Software
• 2) By Hardware: Sensors; Edge AI Devices; IoT Gateways; AI-Powered Cameras And Surveillance Equipment; Smart Meters And Smart Grids; Robotics For Facility Management
• 3) By Services: AI Consulting And Implementation Services; System Integration Services; Managed AI Services; Predictive Maintenance Services; AI Training And Support Services; Cloud-Based AI Services For Smart Buildings
• Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; Robert Bosch GmbH; Hitachi Ltd.; Siemens AG; Intel Corporation; Panasonic Corporation; International Business Machines Corporation (IBM); Cisco Systems Inc.; Oracle Corporation; Schneider Electric SE; Honeywell International Inc.; ABB Ltd; NEC Corporation; Johnson Controls International plc; Samsung SDS; Autodesk Inc.; Terminus Group; GridPoint Inc.; Verdigris Technologies; BuildingIQ Inc.; Built Robotics
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
• Regions: Asia-Pacific; South East Asia; 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.
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Table of Contents

1. Executive Summary

• 1.1. Key Market Insights (2020-2035)
• 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
• 1.3. Major Factors Driving the Market
• 1.4. Top Three Trends Shaping the Market

2. AI In Smart Buildings And Infrastructure Market Characteristics

• 2.1. Market Definition & Scope
• 2.2. Market Segmentations
• 2.3. Overview of Key Products and Services
• 2.4. Global AI In Smart Buildings And Infrastructure Market Attractiveness Scoring And Analysis
  • 2.4.1. Overview of Market Attractiveness Framework
  • 2.4.2. Quantitative Scoring Methodology
  • 2.4.3. Factor-Wise Evaluation
• Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
• 2.4.4. Market Attractiveness Scoring and Interpretation
• 2.4.5. Strategic Implications and Recommendations

3. AI In Smart Buildings And Infrastructure Market Supply Chain Analysis

• 3.1. Overview of the Supply Chain and Ecosystem
• 3.2. List Of Key Raw Materials, Resources & Suppliers
• 3.3. List Of Major Distributors and Channel Partners
• 3.4. List Of Major End Users

4. Global AI In Smart Buildings And Infrastructure Market Trends And Strategies

• 4.1. Key Technologies & Future Trends
  • 4.1.1 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.1.2 Artificial Intelligence & Autonomous Intelligence
  • 4.1.3 Sustainability, Climate Tech & Circular Economy
  • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.1.5 Industry 4.0 & Intelligent Manufacturing
• 4.2. Major Trends
  • 4.2.1 AI-Driven Building Automation
  • 4.2.2 Predictive Maintenance For Infrastructure
  • 4.2.3 Energy Optimization Using AI
  • 4.2.4 Intelligent Security And Surveillance
  • 4.2.5 Occupant-Centric Smart Building Systems

5. AI In Smart Buildings And Infrastructure Market Analysis Of End Use Industries

• 5.1 Commercial Building Operators
• 5.2 Residential Property Developers
• 5.3 Industrial Facility Owners
• 5.4 Government Infrastructure Authorities
• 5.5 Healthcare Facility Operators

6. AI In Smart Buildings And Infrastructure Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global AI In Smart Buildings And Infrastructure Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

• 7.1. Global AI In Smart Buildings And Infrastructure PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 7.2. Global AI In Smart Buildings And Infrastructure Market Size, Comparisons And Growth Rate Analysis
• 7.3. Global AI In Smart Buildings And Infrastructure Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
• 7.4. Global AI In Smart Buildings And Infrastructure Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global AI In Smart Buildings And Infrastructure Total Addressable Market (TAM) Analysis for the Market

• 8.1. Definition and Scope of Total Addressable Market (TAM)
• 8.2. Methodology and Assumptions
• 8.3. Global Total Addressable Market (TAM) Estimation
• 8.4. TAM vs. Current Market Size Analysis
• 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. AI In Smart Buildings And Infrastructure Market Segmentation

• 9.1. Global AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Software, Hardware, Services
• 9.2. Global AI In Smart Buildings And Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Machine Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Other Technologies
• 9.3. Global AI In Smart Buildings And Infrastructure Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Building Automation, Energy Management, Security And Surveillance, Predictive Maintenance, Smart Parking, Other Applications
• 9.4. Global AI In Smart Buildings And Infrastructure Market, Segmentation By End-User Industry, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Commercial Buildings, Residential Buildings, Industrial Buildings, Government Buildings, Healthcare Facilities, Educational Institutions, Retail Spaces, Other End User Industries
• 9.5. Global AI In Smart Buildings And Infrastructure Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• AI-Powered Building Management Systems (BMS), Energy Management Software, Predictive Maintenance Solutions, Security And Surveillance Analytics, Space Optimization And Utilization Software, HVAC Optimization Software, Smart Lighting Control Software
• 9.6. Global AI In Smart Buildings And Infrastructure Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Sensors, Edge AI Devices, IoT Gateways, AI-Powered Cameras And Surveillance Equipment, Smart Meters And Smart Grids, Robotics For Facility Management
• 9.7. Global AI In Smart Buildings And Infrastructure Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• AI Consulting And Implementation Services, System Integration Services, Managed AI Services, Predictive Maintenance Services, AI Training And Support Services, Cloud-Based AI Services For Smart Buildings

10. AI In Smart Buildings And Infrastructure Market, Industry Metrics By Country

• 10.1. Global AI In Smart Buildings And Infrastructure Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
• 10.2. Global AI In Smart Buildings And Infrastructure Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. AI In Smart Buildings And Infrastructure Market Regional And Country Analysis

• 11.1. Global AI In Smart Buildings And Infrastructure Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• 11.2. Global AI In Smart Buildings And Infrastructure Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific AI In Smart Buildings And Infrastructure Market

• 12.1. Asia-Pacific AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 12.2. Asia-Pacific AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China AI In Smart Buildings And Infrastructure Market

• 13.1. China AI In Smart Buildings And Infrastructure Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 13.2. China AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India AI In Smart Buildings And Infrastructure Market

• 14.1. India AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan AI In Smart Buildings And Infrastructure Market

• 15.1. Japan AI In Smart Buildings And Infrastructure Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 15.2. Japan AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia AI In Smart Buildings And Infrastructure Market

• 16.1. Australia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia AI In Smart Buildings And Infrastructure Market

• 17.1. Indonesia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea AI In Smart Buildings And Infrastructure Market

• 18.1. South Korea AI In Smart Buildings And Infrastructure Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 18.2. South Korea AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan AI In Smart Buildings And Infrastructure Market

• 19.1. Taiwan AI In Smart Buildings And Infrastructure Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 19.2. Taiwan AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia AI In Smart Buildings And Infrastructure Market

• 20.1. South East Asia AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 20.2. South East Asia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe AI In Smart Buildings And Infrastructure Market

• 21.1. Western Europe AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 21.2. Western Europe AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK AI In Smart Buildings And Infrastructure Market

• 22.1. UK AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany AI In Smart Buildings And Infrastructure Market

• 23.1. Germany AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France AI In Smart Buildings And Infrastructure Market

• 24.1. France AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy AI In Smart Buildings And Infrastructure Market

• 25.1. Italy AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain AI In Smart Buildings And Infrastructure Market

• 26.1. Spain AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe AI In Smart Buildings And Infrastructure Market

• 27.1. Eastern Europe AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 27.2. Eastern Europe AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia AI In Smart Buildings And Infrastructure Market

• 28.1. Russia AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America AI In Smart Buildings And Infrastructure Market

• 29.1. North America AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 29.2. North America AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA AI In Smart Buildings And Infrastructure Market

• 30.1. USA AI In Smart Buildings And Infrastructure Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 30.2. USA AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada AI In Smart Buildings And Infrastructure Market

• 31.1. Canada AI In Smart Buildings And Infrastructure Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 31.2. Canada AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America AI In Smart Buildings And Infrastructure Market

• 32.1. South America AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 32.2. South America AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil AI In Smart Buildings And Infrastructure Market

• 33.1. Brazil AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East AI In Smart Buildings And Infrastructure Market

• 34.1. Middle East AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 34.2. Middle East AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa AI In Smart Buildings And Infrastructure Market

• 35.1. Africa AI In Smart Buildings And Infrastructure Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 35.2. Africa AI In Smart Buildings And Infrastructure Market, Segmentation By Type, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. AI In Smart Buildings And Infrastructure Market Regulatory and Investment Landscape

37. AI In Smart Buildings And Infrastructure Market Competitive Landscape And Company Profiles

• 37.1. AI In Smart Buildings And Infrastructure Market Competitive Landscape And Market Share 2024
  • 37.1.1. Top 10 Companies (Ranked by revenue/share)
• 37.2. AI In Smart Buildings And Infrastructure Market - Company Scoring Matrix
  • 37.2.1. Market Revenues
  • 37.2.2. Product Innovation Score
  • 37.2.3. Brand Recognition
• 37.3. AI In Smart Buildings And Infrastructure Market Company Profiles
  • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.4. Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

38. AI In Smart Buildings And Infrastructure Market Other Major And Innovative Companies

• Siemens AG, Intel Corporation, Panasonic Corporation, International Business Machines Corporation (IBM), Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., ABB Ltd, NEC Corporation, Johnson Controls International plc, Samsung SDS, Autodesk Inc., Terminus Group, GridPoint Inc.

39. Global AI In Smart Buildings And Infrastructure Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The AI In Smart Buildings And Infrastructure Market

41. AI In Smart Buildings And Infrastructure Market High Potential Countries, Segments and Strategies

• 41.1. AI In Smart Buildings And Infrastructure Market In 2030 - Countries Offering Most New Opportunities
• 41.2. AI In Smart Buildings And Infrastructure Market In 2030 - Segments Offering Most New Opportunities
• 41.3. AI In Smart Buildings And Infrastructure Market In 2030 - Growth Strategies
  • 41.3.1. Market Trend Based Strategies
  • 41.3.2. Competitor Strategies

42. Appendix

• 42.1. Abbreviations
• 42.2. Currencies
• 42.3. Historic And Forecast Inflation Rates
• 42.4. Research Inquiries
• 42.5. The Business Research Company
• 42.6. Copyright And Disclaimer