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市場調查報告書
商品編碼
2132788

向智慧建築營運演進：透過軟體創造價值

The Evolution Toward Intelligent Building Operations: Unlocking Value Through Software
出版日期: | 出版商: ABI Research | 英文 15 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

具體益處：

  • 了解智慧建築軟體如何從被動的儀錶板轉向主動的營運決策層，從而實現日常建築運營的自動化。
  • 到 2035 年，我們將評估將互聯商業建築發展成為由人工智慧 (AI) 驅動的整合智慧營運所帶來的商機。
  • 我們將每個階段的軟體成熟度進行比較——獨立運作、連接但孤立的運作、整合運作和智慧運作——以評估建築物還能取得哪些進一步的進展。
  • 我們將評估資料碎片化、專有協定、遺留基礎架構和組織孤島如何影響智慧建築軟體的部署和實施進度。

重要問題的答案：

  • 到 2035 年，哪些商業建築軟體用例和成熟度水準將推動覆蓋建築數量和年度經常性收入實​​現最強勁的成長？
  • 隨著人工智慧模型、雲端服務和軟體框架的發展速度超過建築物的生命週期，供應商應該如何設計面向未來的智慧建築軟體架構？
  • 隨著客戶要求定價與軟體使用量、營運規模和可衡量的業務成果掛鉤，商業模式正在發生怎樣的變化？
  • 組織、採購、網路安全、資料標準化和維修的哪些挑戰正在延緩整合式智慧建築軟體的採用？

調查要點：

  • 2025 年至 2035 年軟體賦能型商業建築的產業特定預測。
  • 評估暖氣、通風和空調 (HVAC) 和能源最佳化、環境監測、生命和消防安全、影像分析和偵測、門禁控制和安全管理以及照明和佔用偵測軟體的應用案例。
  • 檢驗機器學習、基於物理的模型、基於代理的人工智慧和人類監督的自主性如何改變軟體定義建築中的營運智慧。
  • 本文說明了SaaS（軟體即服務）的演變格局、基於使用量和基於結果的商業模式的評估，以及將定價與營運績效聯繫起來所必需的檢驗功能。

主要目標受眾？

  • 智慧建築軟體供應商和產品負責人根據互通性、工作流程自動化、人工智慧驅動的營運和可衡量的業務成果來確定平台定位。
  • 建築自動化供應商和控制設備製造商正在評估開放軟體平台、人工智慧優先供應商和獨立於硬體的解決方案如何重新定義競爭優勢。
  • 商業房地產所有者、資產組合經理和設施經理正在探索如何將互聯建築發展成為整合和智慧化的營運模式。
  • 企業工作場所軟體、整合工作場所管理系統 (IWMS) 和設施管理平台團隊正在評估如何控制建築物內更高層級的工作流程並將其與營運系統整合。

目錄

第1章 主要發現

第2章主要預測

第3章：重點公司與生態系統

第4章：軟體定義建築的智慧層

  • 基於機器學習的營運智慧
  • 從儀錶板到自主工作流程
  • 面向未來的軟體架構

第5章：可擴展智慧建築的基礎

  • 更安全的架構，適用於更高互聯度的建築
  • 混合邊緣雲端軟體架構
  • 傳統硬體和數據的標準化

第6章：使經營模式與組織目標一致

  • 軟體平台經營模式的演變
  • 組織準備不足是最大的瓶頸。
  • 彌合創新與應用之間的差距
簡介目錄
Product Code: AN-6609

Actionable Benefits:

  • Understand how smart building software is shifting from passive dashboards to active operational decision-making layers that automate routine building operations.
  • Evaluate the revenue opportunity from advancing connected commercial buildings toward integrated and intelligent Artificial Intelligence (AI)-enabled operations through 2035.
  • Compare software maturity levels across standalone, connected-but-siloed, integrated, and intelligent operations to assess where buildings can progress next.
  • Assess how fragmented data, proprietary protocols, legacy infrastructure, and organizational silos affect smart building software adoption and deployment timelines.

Critical Questions Answered:

  • Which commercial building software use cases and maturity levels will drive the strongest growth in addressable buildings and annual recurring revenue through 2035?
  • How should vendors design future-proof smart building software architectures as AI models, cloud services, and software frameworks evolve faster than building lifecycles?
  • How are commercial models evolving as customers demand pricing tied to software consumption, operational scale, and measurable business outcomes?
  • What organizational, procurement, cybersecurity, data standardization, and retrofit challenges are slowing adoption of integrated and intelligent smart building software?

Research Highlights:

  • Forecasts of software-addressable commercial buildings by vertical from 2025 to 2035.
  • Assessment of Heating, Ventilation, and Air Conditioning (HVAC) and energy optimization, environmental monitoring, life and fire safety, video analytics and detection, access and security management, and lighting and occupancy software use cases.
  • Examination of how machine learning, physics-based models, Agentic AI, and human-supervised autonomy are reshaping operational intelligence in software-defined buildings.
  • Evaluation of evolving Software-as-a-Service (SaaS), consumption-based, and outcome-based commercial models, and the verification capabilities required to tie pricing to operational performance.

Who Should Read This?

  • Smart building software vendors and product strategists deciding how to position platforms around interoperability, workflow automation, AI-enabled operations, and measurable business outcomes.
  • Building automation providers and controls manufacturers assessing how open software platforms, AI-first vendors, and hardware-agnostic solutions are reshaping competitive advantage.
  • Commercial real estate owners, portfolio operators, and facilities executives evaluating how to progress connected buildings toward integrated and intelligent operations.
  • Enterprise workplace software, Integrated Workplace Management System (IWMS), and facilities management platform teams evaluating opportunities to own workflows above the building layer and integrate with operational systems.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEMS

4 THE INTELLIGENCE LAYER OF SOFTWARE-DEFINED BUILDINGS

  • 4.1 OPERATIONAL INTELLIGENCE THROUGH MACHINE LEARNING
  • 4.2 FROM DASHBOARDS TO AUTONOMOUS WORKFLOWS
  • 4.3 FUTURE-PROOF SOFTWARE ARCHITECTURES

5 FOUNDATIONS FOR SCALABLE SMART BUILDINGS

  • 5.1 SECURE ARCHITECTURES FOR MORE CONNECTED BUILDINGS
  • 5.2 HYBRID EDGE-CLOUD SOFTWARE ARCHITECTURES
  • 5.3 LEGACY HARDWARE AND DATA STANDARDIZATION

6 ALIGNING BUSINESS MODELS WITH ORGANIZATIONAL GOALS

  • 6.1 THE EVOLUTION OF COMMERCIAL MODELS FOR SOFTWARE PLATFORMS
  • 6.2 ORGANIZATIONAL READINESS BECOMES THE PRIMARY BOTTLENECK
  • 6.3 CLOSING THE GAP BETWEEN INNOVATION AND ADOPTION