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

Report
62 Pages
November 2018
Region: United States
Parks Associates
ID: 4663888

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.

1.0 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

Samples

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Executive Summary

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?

Companies Mentioned

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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Table of Contents

Samples

Executive Summary

Companies Mentioned

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