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A Profound Understanding of Value-based Outcome is Crucial for the Mass Acceptance of Artificial Intelligence in the Homes & Buildings Industry
15-May-2020
North America
Market Research
MF85-01-00-00-00
CI00699-GL-MR_24360
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?
Author: Anirudh Bhaskaran
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
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
Market Drivers
Drivers Explained
Drivers Explained (continued)
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
Revenue Forecast by Segment
Regional Outlook
Regional Outlook (continued)
Regional Outlook (continued)
Homes & Buildings Industry—AI Opportunity Assessment Framework
Homes & Buildings Industry—AI Application Areas
Homes & Buildings Industry—AI Application Areas (continued)
Homes & Buildings Industry—AI Application Areas (continued)
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
Growth Opportunities for AI in the Homes & Buildings Industry (continued)
Strategic Imperatives for AI Participants in the Homes & Buildings Industry
Top AI Companies to Watch
Top AI Companies to Watch (continued)
Top AI Companies to Watch (continued)
Top AI Companies to Watch (continued)
Top AI Companies to Watch (continued)
Top AI Companies to Watch (continued)
3 Big Predictions
Legal Disclaimer
Abbreviations and Acronyms
Market Engineering Methodology
List of Exhibits
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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?
Author: Anirudh Bhaskaran
| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Anirudh Bhaskaran |
| Industries | Cross Industries |
| WIP Number | MF85-01-00-00-00 |
| Is Prebook | No |
| GPS Codes | 9343-A4,9B07-C1,GETE |
Artificial Intelligence in the Global Homes & Buildings Industry, Forecast to 2030
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