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AI, Machine Learning, and Data Analytics in the Smart Home

  • ID: 4663888
  • Report
  • 62 Pages
  • Parks Associates
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FEATURED COMPANIES

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  • Ayla Networks
  • DSP Group
  • I-ViewNow
  • mnubo
  • Philips
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It is widely acknowledged that the real value from the Internet of Things will be derived from data.

Data analytics firms across all vertical markets in the connected home are providing solutions to help companies extract value from data.

This report highlights different approaches, AI technologies being implemented, and the associated challenges. It also covers applications that are providing value and company profiles of leading data analytics firms.

Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Accord.net
  • Ayla Networks
  • DSP Group
  • I-ViewNow
  • mnubo
  • Philips
  • MORE

1.0 Report Summary
1.1 Purpose of Report
1.2 Key Burning Questions Addressed by this Research
1.3 Research Approach/Sources

2.0 Beyond Connected to a Smarter Home
2.1 Forms of Artificial Intelligence
2.2 Voice and NLP Drive Growth in the Smart Home
2.3 Data Sources

3.0 Value Chain of Artificial Intelligence Tools
3.1 Public Clouds and AI Development Tools
3.2 Software-as-a-Service/AI-as-a-Service Solutions

4.0 AI Applications in Smart Home Vertical Markets
4.1 Professional and Self-monitored Security
4.1.1 Video Analytics
4.1.2 Audio Analytics
4.1.3 Anomalous Security Behavior
4.1.4 Challenges and Evolution
4.2 Smart Home Automation
4.2.1 Predictive and Personalized Automation
4.2.2 Predictive Maintenance
4.2.3 Challenges and Evolution
4.3 Digital Health
4.3.1 Remote Patient Management and Virtual Care
4.3.2 Independent Living
4.3.3 Chronic Disease Management
4.3.4 Challenges and Evolution
4.4 Energy and Water Management
4.4.1 Learning Thermostats
4.4.2 Home Energy and Water Disaggregation
4.4.3 Appliance Fault Detection and Fire Hazards
4.4.4 Challenges and Evolution
4.5 Secure Networking
4.5.1 AI for Device Identification
4.5.2 AI for Endpoint and Network Security
4.5.3 AI for Parental Controls
4.5.4 Challenges and Evolution

5.0 Implications and Recommendations

6.0 Appendix
6.1 Glossary
6.2 Index
6.3 Image Sources

List of Figures

  • Simplified Architecture for NLP System
  • Voice-first Ecosystem
  • Smart Speaker Penetration of U.S. Broadband Households
  • Smart Speaker Ownership by Brand
  • Smart Speaker Ownership by Model
  • Importance of Smart Home Device Purchase Considerations
  • Data Sources for AI Applications
  • AI Stack in the Public Cloud
  • AI Development Tools
  • Forecast of Annual Revenue for Professionally Monitored Security (2018 – 2022)
  • Company Profile - IntelliVision
  • Appeal of Home and Personal Security Use Cases
  • Forecast - New Smart Home Controller Revenue by Channel (2017 - 2022)
  • DIKW Model of Data Value Extraction
  • Company Profile – Vivint Smart Home
  • Company Profile – People Power Company
  • Trends in Consumer Health Concerns
  • Number of Connected Health Devices Owned
  • Company Profile – Care Innovations
  • Helpfulness of Energy Information
  • Company Profile – Bidgely
  • Consumer Concerns about Hacking of Smart Products
  • Company Profile – Cujo AI
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FEATURED COMPANIES

  • Accord.net
  • Ayla Networks
  • DSP Group
  • I-ViewNow
  • mnubo
  • Philips
  • MORE

1. Report Summary

1.1 Purpose of Report

It is widely acknowledged that the real value from the Internet of Things will be derived from data. Data analytics firms across all vertical markets in the connected home are providing solutions to help companies extract value from data.

This report highlights different approaches, AI technologies being implemented, and the associated challenges. It also covers applications that are providing value, and company profiles of leading data analytics firms.

1.2 Key Burning Questions Addressed by this Research

  • How are the leading forms of artificial intelligence defined and differentiated?
  • What technologies are being leveraged for artificial intelligence applications?
  • What data use cases for AI are getting traction in the major vertical markets of the
  • connected home; security, home automation, digital health, energy and water, and home
  • networking?
  • How do AI use cases create business value that might evolve or disrupt legacy business
  • models?
  • What challenges implementation of AI in the connected home and how will applications
  • evolve?
  • What companies are providing market leadership in AI technologies?
Note: Product cover images may vary from those shown
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  • Accord.net
  • Alarm.com
  • Alexa
  • Amazon
  • Amazon Alexa
  • Amazon Web Services
  • Amberella
  • Apache Spark
  • Apple
  • Arlo
  • Audio Analytic
  • Ayla Networks
  • Bidgely
  • Bitdefender
  • C3 IoT
  • Caffe
  • Care Innovations
  • Centrica
  • Comcast Xfinity
  • Cujo
  • Disney Circle
  • Dojo by Bullguard
  • DSP Group
  • Ecobee
  • Flare
  • F-Secure
  • Google
  • Grid4C
  • H2O.ai
  • IBM Watson
  • IBM Watson Health
  • IC Realtime
  • IntelliVision
  • I-ViewNow
  • Kidde
  • Leeo
  • LG
  • LifePod
  • Lighthouse
  • MediaTek
  • Medtronic
  • Microsoft
  • Microsoft Azure
  • Mindmeld
  • mnubo
  • National Monitoring Center
  • Neon
  • Nest
  • Netatmo
  • Neura
  • Norton
  • Nuance
  • NXP Semiconductor
  • OpenNN
  • Particle.io
  • People Power Company
  • Philips
  • Prodea/Arrayent
  • Qualcomm
  • Ring
  • Samsung
  • Sensory
  • Sonos
  • Torch
  • Veles
  • Vivify Health
  • Vivint
  • Voicebox
  • Whisker Labs
  • Xively
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