Artificial Intelligence in the Global Homes & Buildings Industry, Forecast to 2030

Artificial Intelligence in the Global Homes & Buildings Industry, Forecast to 2030

Homes & buildings is a technology-driven industry that is witnessing innovation at a rapid pace, especially in Artificial Intelligence (AI) through machine learning and deep learning capabilities. Both leading and emerging participants in this space are strongly competing to secure a customer base and maximise their revenue potential. This study identifies the top AI applications in the homes & buildings industry offering growth opportunities to participants in different verticals and countries. It also highlights the top AI solution providers that contribute more than 95% of the market revenue and the companies to watch (as they have the potential to change the industry dynamics going forward). Frost & Sullivan estimates the value generated by AI in the homes & buildings industry at $6.08 billion in 2020.

RESEARCH SCOPE

The study focusses on the impact of AI on the homes & buildings industry, defines the role of AI in home and building applications, and highlights the opportunities for stakeholders in the industry. The main purpose of the study is to analyse the current and future AI-based applications in the homes & buildings industry. The study performs a Growth Opportunity Assessment exercise by evaluating critical attributes to assess the Market Readiness and Future Industry Value of AI applications in the homes & buildings industry. The study also presents a high-level market overview and the investments trends for AI applications across industries. It additionally provides quantification of the value generated by AI for customers as well as estimated and forecast AI revenue in this industry. The study summarises key market findings, strategic imperatives, leading AI solution provider profiles, and top AI applications in the homes & buildings industry. Although Frost & Sullivan recognises smart speakers as AI products, their revenue has not been included in the revenue forecast section as the definition of AI in homes and buildings requires a product or solution to recognise the energy consumption pattern and autonomously optimise building systems based on machine learning or deep learning algorithms for improved performance.

RESEARCH HIGHLIGHTS

The study discusses the top AI applications as well as the leading companies that offer these solutions and have performed well in 2019. It further highlights the companies to watch out for in the next few years based on their growth and innovation. The companies considered for the assessment include Siemens, Honeywell, Signify, Acuity Brands, Google, Amazon, EcoEnergy Insights, FogHorn, 75F, Xiaomi, BrainBox AI, BuildingIQ, Velux, Sense, Energy Curb, Google Nest, Smappee, Vattenfall, and PointGrab.

KEY ISSUES ADDRESSED

What are the top 10 application areas in the homes & buildings industry that have the potential for innovation using AI?
What are the companies that offer cutting-edge AI-based solutions in the homes & buildings industry?
What are the global AI investment trends, AI index, and spend potential for AI applications by country and industry?
What are the immediate and long-term growth opportunities for stakeholders in the homes & buildings industry?
What are the challenges and strategic imperatives for implementing AI applications in the homes & buildings industry?
How much data is currently generated in the homes & buildings industry? How much value does AI generate for its customers?


  • Executive Summary
    • Key Findings
    • Study Scope and Definition
    • Top AI Companies in the Homes & Buildings Industry—Commercial and Industrial Segments
    • Top AI Companies in the Homes & Buildings Industry—Residential Segment
    • Top AI Applications in the Homes & Buildings Industry
    • CEO's 360 Degree Perspective
    • Associated Research and Multimedia
    • Key Questions this Study will Answer
  • Market Overview—AI Across Industries
    • Economic Impact of AI on Select Countries
    • AI Start-ups and Funding Raised in Different Sectors
    • Global Distribution of AI Start-ups
    • Active Participants in AI by Industry
    • AI Impact by Industry
    • Regions with the Highest Gains from AI
  • Dynamics of AI in the Homes & Buildings Industry
    • Market Drivers
    • Drivers Explained
    • Market Restraints
    • Restraints Explained
    • AI–Timeline of Adoption
    • Top AI Applications in the Homes & Buildings Industry
    • AI Economy in the Homes & Buildings Industry
    • AI Revenue Forecast in the Homes & Buildings Industry
      • Table AI in Homes & Buildings Industry: Revenue Forecast, Global, 2019–2030
    • Revenue Forecast by Segment
      • Table AI in Homes & Buildings Industry: Revenue Forecast by Segment, Global, 2019–2030
    • Regional Outlook
  • Growth Opportunity Assessment for AI Participants in the H&B Industry
    • Homes & Buildings Industry—AI Opportunity Assessment Framework
    • Homes & Buildings Industry—AI Application Areas
    • Mapping of Companies Offering AI Applications in the H&B Industry
    • Critical Challenges for AI Adoption in the Homes & Buildings Industry
    • Growth Opportunities for AI in the Homes & Buildings Industry
    • Strategic Imperatives for AI Participants in the Homes & Buildings Industry
  • Top AI Companies to Watch in the Homes & Buildings Industry
    • Top AI Companies to Watch
  • Three Big Predictions
    • 3 Big Predictions
  • Appendix
    • Abbreviations and Acronyms
    • Market Engineering Methodology

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