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市場調查報告書
商品編碼
1915256

加速樓宇人工智慧應用：助力樓宇主動管理轉型

Accelerating AI Adoption in Buildings: Enabling the Shift Toward Proactive Building Management
出版日期: | 出版商: ABI Research | 英文 14 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

實際效益：

  • 了解有效加速樓宇管理人工智慧 (AI) 解決方案應用所需應對的挑戰。
  • 克服變革管理障礙的指導。
  • 確保設施和樓宇管理人員長期採用 AI 解決方案的建議。

關鍵問題解答：

  • AI 在樓宇管理中的整合如何轉化為樓宇管理人員的實際營運效率提升？
  • 阻礙 AI 廣泛應用的最大挑戰和差距是什麼？供應商有哪些機會可以應對這些挑戰和差距？
  • AI 生態系包含哪些層級？不同的供應商如何推動 AI 驅動的主動式樓宇管理解決方案？

主要研究發現：

  • 深入分析智慧建築人工智慧環境的各個層面以及供應商格局。
  • 推動建築人工智慧解決方案普及的關鍵因素。
  • 探討尚未滿足的營運需求以及人工智慧解決方案的潛在擴展領域。

本報告的目標讀者：

  • 數位轉型和智慧建築設計及專案經理。
  • 商業地產、工業設施、政府機構、醫療機構、零售設施和交通運輸領域的業主和營運商。
  • 房地產技術和營運經理。
  • 互聯建築管理經理。
  • 樓宇自動化系統經理。

目錄

主要發現

主要預測

生態系

  • 支援人工智慧整合的層級
  • 智慧建築生態系中的交互
  • 整合式樓宇管理平台
  • 營運平台與工作場所體驗
  • 能源優化分析

將建築從被動式轉變為主動式的挑戰與機會

克服樓宇管理中人工智慧應用障礙的建議

對技術供應商的建議

簡介目錄
Product Code: PT-3860

Actionable Benefits:

  • Understand what gaps need to be addressed to effectively accelerate widespread adoption of Artificial Intelligence (AI) solutions in building management.
  • Guidance on overcoming barriers to change management.
  • Recommendations for ensuring that AI solutions will leveraged by facility and building managers long term.

Critical Questions Answered:

  • How does AI integration in building management translate into real streamlined operational improvements for building managers?
  • What are the biggest gaps and challenges that are preventing widespread AI adoption, and what opportunities are there for vendors to address them?
  • What are the different layers that make up the ecosystem and how do different vendors drive proactive AI-driven building management solutions?

Research Highlights:

  • Insights into the layers and vendor ecosystem that make up the smart building AI landscape.
  • The key drivers that are accelerating the adoption of AI solutions in buildings.
  • Addressing where operational needs have not been fully met and where AI solutions can be scaled up.

Who Should Read This?

  • Design and project managers for digital transformation and smart buildings.
  • Building owners and operators in commercial real estate, industrial, government, healthcare, retail, and transportation.
  • Directors for real estate technology and operations.
  • Directors in connected buildings management.
  • Building automation systems leads.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Ecosystem

  • Layers Supporting AI Integration
  • Interactions Throughout the Smart Building Ecosystem
  • Integrated Building Management Platforms
  • Operational Platforms and Workplace Experience
  • Energy Optimization Analytics

Challenges and Opportunities to Shift Buildings from Reactive to Proactive

Recommendations for Overcoming Barriers to AI Adoption in Building Management

Recommendations for Technology Suppliers