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市场调查报告书
商品编码
1915256

加速楼宇人工智慧应用：助力楼宇主动管理转型

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个工作天内

价格
简介目录

实际效益：

  • 了解有效加速楼宇管理人工智慧 (AI) 解决方案应用所需应对的挑战。
  • 克服变革管理障碍的指导。
  • 确保设施和楼宇管理人员长期采用 AI 解决方案的建议。

关键问题解答：

  • AI 在楼宇管理中的整合如何转化为楼宇管理人员的实际营运效率提升？
  • 阻碍 AI 广泛应用的最大挑战和差距是什么？供应商有哪些机会可以应对这些挑战和差距？
  • AI 生态系包含哪些层级？不同的供应商如何推动 AI 驱动的主动式楼宇管理解决方案？

主要研究发现：

  • 深入分析智慧建筑人工智慧环境的各个层面以及供应商格局。
  • 推动建筑人工智慧解决方案普及的关键因素。
  • 探讨尚未满足的营运需求以及人工智慧解决方案的潜在扩展领域。

本报告的目标读者：

  • 数位转型和智慧建筑设计及专案经理。
  • 商业地产、工业设施、政府机构、医疗机构、零售设施和交通运输领域的业主和营运商。
  • 房地产技术和营运经理。
  • 互联建筑管理经理。
  • 楼宇自动化系统经理。

目录

主要发现

主要预测

生态系

  • 支援人工智慧整合的层级
  • 智慧建筑生态系中的交互
  • 整合式楼宇管理平台
  • 营运平台与工作场所体验
  • 能源优化分析

将建筑从被动式转变为主动式的挑战与机会

克服楼宇管理中人工智慧应用障碍的建议

对技术供应商的建议

简介目录
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