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/ ©2017 NAVIGANT CONSULTING, INC. ALL RIGHTS RESERVED1
NAVIGANT RESEARCH
SMART HOME DATA ANALYTICS
JUNE 2018
/ ©2017 NAVIGANT CONSULTING, INC. ALL RIGHTS RESERVED2
1. Introduction to Navigant Research
2. Role of Data Analytics in the Energy Cloud
3. Emerging Applications
4. Current State of the Market
5. Opportunities & Challenges
6. The Future
AGENDA
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NAVIGANT RESEARCH
PAIGE
LEUSCHNER
Paige Leuschner is a research
analyst with Navigant Research
in the Building Innovations
program, managing the Smart
Home research service. BUILDING
INNOVATIONS
Intelligent Building Management Systems
Smart Home
Energy Efficient Buildings
Lighting Innovations
Smart Cities
TRANSPORTATION
EFFICIENCIES
UTILITY
TRANSFORMATIONS
ENERGY
TECHNOLOGIES
Wind Energy
Grid-Tied Energy Storage
Distributed Energy Storage
Advanced Battery Innovations
Microgrids
Distributed Natural Gas
Distributed Renewables
Electric Vehicles
Commercial Transportation Electrification
Transport and Logistics Innovations
Mobility
Internet of Things
Connected Grid
Digital Grid
Dynamic Grid
Demand-Side Management
Digital Utility Strategies
DER Strategies
Utility Customer Solutions
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DATA ANALYTICS AS AN ENABLING TECHNOLOGY
Data analytics act as an enabling technology in the Energy Cloud.
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THE HOME AS A NODE IN THE ENERGY CLOUD
Data analytics and supporting ecosystem of technologies enable the home as an asset in the Energy Cloud.
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DEVICES IN THE HOME PRODUCING DATA
Proliferation of devices has led to growing streams of data that can increase
awareness about activity within the home.
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EMERGING APPLICATIONS
Personalized
consumption
information creates a
better customer
experience, fostering
engagement and
satisfaction
Engaged and satisfied
customers are more
likely to participate in
DSM programs and
help utilities meet
energy efficiency and
DR goals
Analytics help
consumers monitor
the production and
consumption of solar
and energy storage
technologies to foster
integrated home
energy systems
Increased awareness
of activity within the
home can enhance
home security, home
automation solutions
and enable services
such as HVAC
monitoring
ENGAGEMENT AND
SATISFACTION
DR AND ENERGY EFFICIENCY
DER
INTEGRATION
MONITORING AND
AWARENESS
Machine learning
algorithms and
artificial intelligence
can learn behavior
patterns and respond
in real-time, creating
an intuitive and
integrated system
THE SMART HOME
Opportunity in data: larger volumes of data and new data streams are supporting the emergence of
data-based applications in the home, which are driving real-world value (increased comfort & control,
energy savings, security, etc.).
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CURRENT STATE
• Current state
- “Only beginning to scratch the surface of opportunity
data has to offer”
- Data analytics is increasing awareness of activity in the
home
- Enabling a range of new applications such as energy
monitoring, home security, entertainment, insurance,
and healthcare
- Driving capabilities around digital assistants
- Introduction of new data-based services, HVAC
performance monitoring
- Companies are focused on getting more devices into
the home to better understand customers and sell more
products and services
- Companies are also still trying to figure out what to do
with all of the data
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OPPORTUNITIES & CHALLENGES
• What is driving this market?
More devices, more data
Realizing opportunity in data
New value-added services, new revenue
streams
High penetration of in-home networks
• What challenges does this market face?
Data privacy & security
Uncertainty about what to do with data
Difficulty justifying ROI
Disparate data streams
In-home bandwidth issues
Growing costs of managing data
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THE FUTURE
• Smart home data analytics revenue
expected to increase from $1.6 billion in
2018 to $11.0 billion in 2027
- Hardware devices including analytics are
expected to contribute most to global revenue
as IoT device penetration grows
- Direct-to-consumer services expected to grow
most as vendors discover new opportunities in
data
- B2B software expected to grow consistently as
companies engage software providers to better
manage data and get more involved in market
Smart Home Data Analytics Revenue by
Region, World Markets: 2017-2026
(Source: Navigant Research)
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CONCLUSIONS
• Data analytics can…
- Enable the home to play a fundamental role in the Energy Cloud
- Help transition the home into a dynamic asset
- Enable new in-home applications and services
- Create new revenue streams
• Market is driven by proliferation of devices and potential opportunity to add value
• Many challenges to overcome before data analytics becomes advanced enough to power the smart home
• Future is bright, only now scratching the surface
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QUESTIONS?
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PAIGE LEUSCHNERResearch Analyst
+44 (0)20 7015 8762
navigant.com
CONTACT