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The competitive landscape of IoT
Competitive forces and companies shaping the Internet of Things
Vienna Global IoT Day, 9 April 2015
Knud Lasse Lueth, Founder of IoT Analytics @KnudLueth
@AnalyticsIoT
1
Copyright©2015byIwww.iot-analytics.comAllrightsreserved.
Agenda
Introduction
Part 1: How IoT changes competitive forces
Part 2: The companies and technologies making IoT happen
2
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Starting point: The internet changed our lives
In 1994, the Internet was the next
big thing…
Time Magazine Cover 1994
Source: Time Magazine, Wikipedia
3
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Starting point: The internet changed our lives
In 1994, the Internet was the next
big thing…
… and created a whole new
industry
Time Magazine Cover 1994 List of biggest Internet companies 2014
Source: Time Magazine, Wikipedia
# Company Headquarters Industry
Revenue
($B)
1 Amazon Seattle, WA E-commerce $74.45
2 Google Mountain View, CA Search $59.82
3 eBay San Jose, CA E-commerce $16.05
4 Tencent Shenzhen Social $9.91
5 Alibaba Hangzhou E-commerce $8.57
6 Facebook Menlo Park, CA Social $7.87
7 Rakuten Tokyo E-commerce $5.56
8 Priceline.com Norwalk, CT Travel $5.26
9 Baidu Beijing Search $5.21
10 Yahoo Sunnyvale, CA Web portal $4.68
11 Salesforce.com San Francisco, CA Cloud comp. $4.07
12 Yandex Moscow Search $1.21
13 Flipkart Bangalore E-commerce $1+
4
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How will IoT change our lives?
In 2014, the Internet of Things
has arrived…
HBR Cover 2014
Source: HBR, IoT Analytics
5
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How will IoT change our lives?
In 2014, the Internet of Things
has arrived…
Who will dominate the industry
in 20 years?
HBR Cover 2014
Source: HBR, IoT Analytics
IoT Analytics tries to understand: What
determines IoT success and who is it?
6
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IoT Analytics focuses on market intelligence for the IoT
Competitive
Intelligence (CI)
Market environment
Market insights General
trends
Business
climate
Risk&
Attractiveness
Market
drivers
Economy
dynamics
Market
size
Regulation
Market
forecast
Segmen-
tation
Company
strategies
Company
profiles
M&A
activity
Case
studies
Market
shares
Product
intelligence
We intend to become a leading source of market insights&competitive
intelligence for the Internet of Things
7
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A few of our recent publications and current work
Intro to IoT IoT market analysis Smart Home primer IoT strategy primer
White papers Case studies
The Nest story
(not yet published)
Structured company lists Market share analysis
2000+ IoT
companies
350+ Smart Home
companies
250+ Wearables
companies
300+ publicly listed
IoT companies
Company popularity
ranking
Bottom-up
Smart Home
market share model
(not yet published)
www.iot-analytics.com
8
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Agenda
Introduction
Part 1: How IoT changes competitive forces
Part 2: The companies and technologies making IoT happen
9
Copyright©2015byIwww.iot-analytics.comAllrightsreserved.
Most value of IoT lies beyond the connectivity
Value (to the end customer)
high
high
low
low
1 “Dumb”
Physical device/
product
3 Monitored
Remote condition
monitoring
4 Controlled
Remote control
of device/product
5 Optimized
Algorithms,
Decision-support,
additional services,
etc.
6 Autonomous
Self-coordination
Automated
decision-making
7 Ecosystem
-enabled
Smart interaction
with other smart objects
In same ecosystem
2 Digital
Digitally-enabled
device/product
8 Cross-
Ecosystem
Optimized
Smart interaction
With devices in
other ecosystems
Maturity (of the offering)
The IoT value-maturity curve
Connected deviceNon-connected device
10
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Do you know Nest?
One of the most mature early examples of a “dumb” product becoming “smart”
11
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Would you buy it today?
Nest vs. conventional thermostats 2014
Reasons NOT to
buy Nest
Reasons to buy
Nest
12
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Would you buy it in 2 years?
Nest vs. conventional thermostats 2016 (forecast)
Reasons NOT to
buy Nest
Reasons to buy
Nest
13
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Most of the value for Nest has not yet been unlocked
Value (to the end customer)
high
high
low
low
1 “Dumb”
3 Monitored
4 Controlled
5 Optimized
.
6 Autonomous
7 Ecosystem
-enabled
2 Digital
8 Cross-
Ecosystem
optimized
Maturity (of the offering)
Manual
Thermostat
1883
Digital
Thermostat
1980s
Autonomous
Thermostat
2011-14
Ecosystem thermostat
2016?
Nest today
Connected deviceNon-connected device
14
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The thermostat industry before Nest: Rather unattractive
G Y RGreen = Favorable conditions for
companies in the industry
Barriers to entry
• Product development requires little sophistication
• Some upfront investment necessary
• Relatively easy access to main sales channels
(online, DIY store)
Internal rivalry
• Many competitors
• Limited industry growth
Substitutes and complements
• Systems without thermostats (e.g., central heating
systems)
Supplier power
• Most thermostat parts
are commodities
• Some switching costs
Buyer power
• Large DIY
stores/electronics
distributors with
purchasing power
• Little switching costs for
buyers
• Limited price sensitivity
since often sourced in
larger packages together
with other heating/cooling
components
Yellow = Conditions for companies in the
industry neither favorable nor unfavorable
Red = Unfavorable conditions for
companies in the industry
Y
G
Y Y
R
Y
R
Average profitability: ~10% EBIT margin1
1. Based on a set of German thermostat manufacturers 2005-2012 Source: IoT Analytics
15
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After the arrival of smart thermostats:
IoT changes the industry forces
Average profitability: Likely higher in the future!
Source: IoT Analytics
G Y RGreen = Favorable conditions for
companies in the industry
Barriers to entry
• Complex product development
• Significant upfront investment in product and
talent
• Relatively easy access to main sales channels
(online, DIY store)
• Learning from own captured data
Internal rivalry
• Many competitors
• High industry growth
Substitutes and complements
• Systems without thermostats (e.g., central heating
systems)
Supplier power
• Most thermostat parts
are commodities
• Some switching costs
Buyer power
• Large DIY
stores/electronics
distributors with
purchasing power
• High switching costs for
buyers due to existing
smart home ecosystem
• Limited price sensitivity
since often sourced in
larger packages together
with other heating/cooling
components
Yellow = Conditions for companies in the
industry neither favorable nor unfavorable
Red = Unfavorable conditions for
companies in the industry
Y
G
Y
Y
G
Y
G
16
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Agenda
Introduction
Part 1: How IoT changes competitive forces
Part 2: The companies and technologies making IoT happen
17
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The new technology landscape of the Internet of Things (1/4)
18
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The new technology landscape of the Internet of Things (2/4)
19
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The new technology landscape of the Internet of Things (3/4)
20
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The new technology landscape of the Internet of Things (4/4)
21
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The top 10 IoT companies creating the biggest buzz
3
2
1
4
5
6
7
8
9
10
Company Overall popularity1 Specific products
1. Popularity ranking based on popularity in Google searches, Twitter tweets, LinkedIn posts, and news headlines in Q1/2015. 2. Com. Hardw = Communication hardware 3. M2M platform in
partnership with other companies
Source: Google, Twitter, LinkedIn, Company websites, IoT Analytics
22%
24%
26%
31%
34%
55%
59%
66%
69%
72%
Oracle
Gartner
SAP
Apple
Samsung
IBM
Google
Cisco
Microsoft
Intel
• IoT-enabled ERP
• Hana database
• M2M platform3
Technology offering2
Sen-
sors
Proce
ssors
Com.
hardw
De-
vices
Plat-
form
Ana-
lytics
Data-
base Other
✓ ✓
✓ ✓✓
✓ ✓
✓ ✓
✓✓ ✓
✓ ✓
✓
✓ ✓ ✓ ✓
• IoT cloud platform
• Market research
• Wearables
• Smart Home platform
• Processors
• Gilileo developer kit
• IoT platform
• Azure platform
• Streaming analytics
• Wearable camera
• Smart watch
• Smart home platform
• Smart health platf.
• Routers/Gateways/etc
• Security solutions
• Analytics
• Databases (eg Cloudant)
• Application infrastr.
• Nest/Revolv smart home
• Physical web platform
• Google Glass
• Self-driving car
✓
( )
✓ ✓
✓ ✓
22
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Biggest US startups much larger than Austrian counterparts
Top IoT startups by country
Name Segment Location Funding
Jawbone Wearables San Francisco $520m
Prodea
Syst.
Smart home Richardson, TX $160m
iRhythm Connected
health
San Francisco $120m
Nest Labs Smart home Palo Alto $80m
Name Segment Location Funding
AlertMe Smart home Cambridge $36m
Electric-
imp
Smart home Cambridge $23m
Roli Conn. music London $13m
Evrythng IoT platform London $7m
Name Segment Location Funding
Tado Smart home Munich $16m
Yetu Smart home Berlin $8m
Relayr Dev. board Berlin $3m
Gestigon Gesture contr. Lübeck $1m
Name Segment Location Funding
Flatout Smart home Vienna $1m
Tractive Wearables Pasching $0.5m
Linemetrics Industrial Haidershofen $0.4m
Indoo.rs Indoor
localization
Brunn am
Gebirge
n/a
23
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Conclusion
1. The value of the Internet of Things lies beyond the connectivity – It comes with smart
analytics and ecosystem-enablement
2. Entire industry forces are changing due to IoT. Some industries may experience higher
profits. Companies need to be aware of potential lock-out.
3. The “new” IoT infrastructure is being created now – Hardware including sensors and
processors, communication, software, and application.
4. The top IoT companies in terms of “share-of-voice” currently are: Intel, Microsoft, Cisco,
Google, IBM
5. US startup funding in the IoT area is much larger than German or Austrian IoT investment
activity
24
Copyright©2015byIwww.iot-analytics.comAllrightsreserved.
Questions?
Knud Lasse Lueth
IoT Analytics
knud.lueth@iot-analytics.com
www.iot-analytics.com
Hamburg/Berlin
Germany
@KnudLueth
@AnalyticsIoT

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The competitive landscape of the Internet of Things

  • 1. The competitive landscape of IoT Competitive forces and companies shaping the Internet of Things Vienna Global IoT Day, 9 April 2015 Knud Lasse Lueth, Founder of IoT Analytics @KnudLueth @AnalyticsIoT
  • 2. 1 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Agenda Introduction Part 1: How IoT changes competitive forces Part 2: The companies and technologies making IoT happen
  • 3. 2 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Starting point: The internet changed our lives In 1994, the Internet was the next big thing… Time Magazine Cover 1994 Source: Time Magazine, Wikipedia
  • 4. 3 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Starting point: The internet changed our lives In 1994, the Internet was the next big thing… … and created a whole new industry Time Magazine Cover 1994 List of biggest Internet companies 2014 Source: Time Magazine, Wikipedia # Company Headquarters Industry Revenue ($B) 1 Amazon Seattle, WA E-commerce $74.45 2 Google Mountain View, CA Search $59.82 3 eBay San Jose, CA E-commerce $16.05 4 Tencent Shenzhen Social $9.91 5 Alibaba Hangzhou E-commerce $8.57 6 Facebook Menlo Park, CA Social $7.87 7 Rakuten Tokyo E-commerce $5.56 8 Priceline.com Norwalk, CT Travel $5.26 9 Baidu Beijing Search $5.21 10 Yahoo Sunnyvale, CA Web portal $4.68 11 Salesforce.com San Francisco, CA Cloud comp. $4.07 12 Yandex Moscow Search $1.21 13 Flipkart Bangalore E-commerce $1+
  • 5. 4 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. How will IoT change our lives? In 2014, the Internet of Things has arrived… HBR Cover 2014 Source: HBR, IoT Analytics
  • 6. 5 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. How will IoT change our lives? In 2014, the Internet of Things has arrived… Who will dominate the industry in 20 years? HBR Cover 2014 Source: HBR, IoT Analytics IoT Analytics tries to understand: What determines IoT success and who is it?
  • 7. 6 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. IoT Analytics focuses on market intelligence for the IoT Competitive Intelligence (CI) Market environment Market insights General trends Business climate Risk& Attractiveness Market drivers Economy dynamics Market size Regulation Market forecast Segmen- tation Company strategies Company profiles M&A activity Case studies Market shares Product intelligence We intend to become a leading source of market insights&competitive intelligence for the Internet of Things
  • 8. 7 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. A few of our recent publications and current work Intro to IoT IoT market analysis Smart Home primer IoT strategy primer White papers Case studies The Nest story (not yet published) Structured company lists Market share analysis 2000+ IoT companies 350+ Smart Home companies 250+ Wearables companies 300+ publicly listed IoT companies Company popularity ranking Bottom-up Smart Home market share model (not yet published) www.iot-analytics.com
  • 9. 8 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Agenda Introduction Part 1: How IoT changes competitive forces Part 2: The companies and technologies making IoT happen
  • 10. 9 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Most value of IoT lies beyond the connectivity Value (to the end customer) high high low low 1 “Dumb” Physical device/ product 3 Monitored Remote condition monitoring 4 Controlled Remote control of device/product 5 Optimized Algorithms, Decision-support, additional services, etc. 6 Autonomous Self-coordination Automated decision-making 7 Ecosystem -enabled Smart interaction with other smart objects In same ecosystem 2 Digital Digitally-enabled device/product 8 Cross- Ecosystem Optimized Smart interaction With devices in other ecosystems Maturity (of the offering) The IoT value-maturity curve Connected deviceNon-connected device
  • 11. 10 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Do you know Nest? One of the most mature early examples of a “dumb” product becoming “smart”
  • 12. 11 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Would you buy it today? Nest vs. conventional thermostats 2014 Reasons NOT to buy Nest Reasons to buy Nest
  • 13. 12 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Would you buy it in 2 years? Nest vs. conventional thermostats 2016 (forecast) Reasons NOT to buy Nest Reasons to buy Nest
  • 14. 13 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Most of the value for Nest has not yet been unlocked Value (to the end customer) high high low low 1 “Dumb” 3 Monitored 4 Controlled 5 Optimized . 6 Autonomous 7 Ecosystem -enabled 2 Digital 8 Cross- Ecosystem optimized Maturity (of the offering) Manual Thermostat 1883 Digital Thermostat 1980s Autonomous Thermostat 2011-14 Ecosystem thermostat 2016? Nest today Connected deviceNon-connected device
  • 15. 14 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. The thermostat industry before Nest: Rather unattractive G Y RGreen = Favorable conditions for companies in the industry Barriers to entry • Product development requires little sophistication • Some upfront investment necessary • Relatively easy access to main sales channels (online, DIY store) Internal rivalry • Many competitors • Limited industry growth Substitutes and complements • Systems without thermostats (e.g., central heating systems) Supplier power • Most thermostat parts are commodities • Some switching costs Buyer power • Large DIY stores/electronics distributors with purchasing power • Little switching costs for buyers • Limited price sensitivity since often sourced in larger packages together with other heating/cooling components Yellow = Conditions for companies in the industry neither favorable nor unfavorable Red = Unfavorable conditions for companies in the industry Y G Y Y R Y R Average profitability: ~10% EBIT margin1 1. Based on a set of German thermostat manufacturers 2005-2012 Source: IoT Analytics
  • 16. 15 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. After the arrival of smart thermostats: IoT changes the industry forces Average profitability: Likely higher in the future! Source: IoT Analytics G Y RGreen = Favorable conditions for companies in the industry Barriers to entry • Complex product development • Significant upfront investment in product and talent • Relatively easy access to main sales channels (online, DIY store) • Learning from own captured data Internal rivalry • Many competitors • High industry growth Substitutes and complements • Systems without thermostats (e.g., central heating systems) Supplier power • Most thermostat parts are commodities • Some switching costs Buyer power • Large DIY stores/electronics distributors with purchasing power • High switching costs for buyers due to existing smart home ecosystem • Limited price sensitivity since often sourced in larger packages together with other heating/cooling components Yellow = Conditions for companies in the industry neither favorable nor unfavorable Red = Unfavorable conditions for companies in the industry Y G Y Y G Y G
  • 17. 16 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Agenda Introduction Part 1: How IoT changes competitive forces Part 2: The companies and technologies making IoT happen
  • 22. 21 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. The top 10 IoT companies creating the biggest buzz 3 2 1 4 5 6 7 8 9 10 Company Overall popularity1 Specific products 1. Popularity ranking based on popularity in Google searches, Twitter tweets, LinkedIn posts, and news headlines in Q1/2015. 2. Com. Hardw = Communication hardware 3. M2M platform in partnership with other companies Source: Google, Twitter, LinkedIn, Company websites, IoT Analytics 22% 24% 26% 31% 34% 55% 59% 66% 69% 72% Oracle Gartner SAP Apple Samsung IBM Google Cisco Microsoft Intel • IoT-enabled ERP • Hana database • M2M platform3 Technology offering2 Sen- sors Proce ssors Com. hardw De- vices Plat- form Ana- lytics Data- base Other ✓ ✓ ✓ ✓✓ ✓ ✓ ✓ ✓ ✓✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ • IoT cloud platform • Market research • Wearables • Smart Home platform • Processors • Gilileo developer kit • IoT platform • Azure platform • Streaming analytics • Wearable camera • Smart watch • Smart home platform • Smart health platf. • Routers/Gateways/etc • Security solutions • Analytics • Databases (eg Cloudant) • Application infrastr. • Nest/Revolv smart home • Physical web platform • Google Glass • Self-driving car ✓ ( ) ✓ ✓ ✓ ✓
  • 23. 22 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Biggest US startups much larger than Austrian counterparts Top IoT startups by country Name Segment Location Funding Jawbone Wearables San Francisco $520m Prodea Syst. Smart home Richardson, TX $160m iRhythm Connected health San Francisco $120m Nest Labs Smart home Palo Alto $80m Name Segment Location Funding AlertMe Smart home Cambridge $36m Electric- imp Smart home Cambridge $23m Roli Conn. music London $13m Evrythng IoT platform London $7m Name Segment Location Funding Tado Smart home Munich $16m Yetu Smart home Berlin $8m Relayr Dev. board Berlin $3m Gestigon Gesture contr. Lübeck $1m Name Segment Location Funding Flatout Smart home Vienna $1m Tractive Wearables Pasching $0.5m Linemetrics Industrial Haidershofen $0.4m Indoo.rs Indoor localization Brunn am Gebirge n/a
  • 24. 23 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Conclusion 1. The value of the Internet of Things lies beyond the connectivity – It comes with smart analytics and ecosystem-enablement 2. Entire industry forces are changing due to IoT. Some industries may experience higher profits. Companies need to be aware of potential lock-out. 3. The “new” IoT infrastructure is being created now – Hardware including sensors and processors, communication, software, and application. 4. The top IoT companies in terms of “share-of-voice” currently are: Intel, Microsoft, Cisco, Google, IBM 5. US startup funding in the IoT area is much larger than German or Austrian IoT investment activity
  • 25. 24 Copyright©2015byIwww.iot-analytics.comAllrightsreserved. Questions? Knud Lasse Lueth IoT Analytics knud.lueth@iot-analytics.com www.iot-analytics.com Hamburg/Berlin Germany @KnudLueth @AnalyticsIoT