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© 2017 IHS Markit© 2017 IHS Markit. All Rights Reserved.
Transportation evolvingAutonomy and mobility as a service
AUTOMOTIVE
Jeremy Carlson, Principal Analyst & Manager+1 310 524 4065 [email protected]
8 March 2017 | Plymouth, Michigan
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ADAS and autonomy
Presentation Name / Month 2016
2
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ADAS continues to advance at a rapid pace
3
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Lexus LS
Mercedes-Benz E-Class
Audi A8
Tesla Model S/X
BMW 7 Series
Intuitive pedestrian detection with active steering
Evasive steering assist andactive lane change assist
Piloted driving supported by laser scanner
Autopilot 2.0 hardware suite
Remote control parking
NVIDIA AI & computing Tesla | Mercedes 2017 | Audi 2020ZF, Bosch manufacture Drive PX2
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Language defined: Real-world examples of SAE levelsAutonomous = level 4 and Level 5
4
Based on Society of Automotive Engineers levels of automation (SAE J3016)
No automationL0
Driver assistanceL1
High automationFull autonomy | Self-driving carL4
Partial automationL2
Conditional automationL3
Full automationFull autonomy | Driverless carL5
Collision warningLane departure warningBlind spot information
Adaptive cruise controlLane keep assistAutonomous parking
AutopilotTraffic jam assist
Advanced autopilotsDrivers intermittently reengage
Fully autonomous autopilotsDrivers disengage in more situations
Fully autonomous driverless fleetsMobility service business model
2010 2015 2020 2025 2030
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Advanced driver assist systems growing rapidly
5
0 10 20 30 40 50 60 70
AutopilotSide and rear mirror camera
Lane departure warningCollision warning and avoidance
Driver monitoringSurround view
Adaptive cruise controlBlind spot detection
Autonomous park assistPark assist
ADAS unit compound annual growth, 2017–22
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Overall ADAS market 17.3%excluding park assist 25.8%
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Automated driving forecast summary shows slow transition
6
North America light vehicle production by SAE level 0–2
© 2017 IHS MarkitSource: IHS Markit
0
4
8
12
16
20
2016 2017 2018 2019 2020 2021 2022
Mill
ions
L0 L1 L2
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New capabilities are needed to enable autonomyAutomakers and suppliers gaining expertise via acquisition, partnership, internal development
Sensing
Computing
User experience
Driver software
Cloud connectivity
Maps Artificial intelligence
Auto expertise Tech expertise
Service business model
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How will the transportation industry obtain that expertise?
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Investment frequency in auto tech
in 2016 increased to 87 deals,
up 30% over 2015
Investment funding in auto tech
in 2016 increased to USD1,049 million,
up 91% over 2015
Source: CB Insights, January 2017
Auto tech investment activity related to:Autonomous driving software Connected vehicle and data
Automotive cybersecurity V2V communication
Driver safety tools Fleet telematics
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Top-10 auto tech deals in 2016
Company Amount DescriptionZoox USD200M Autonomous EV mobility-as-a-service in new vehicle types
Metromile USD103M Pay-per-mile insurance
Quanergy USD90M Lidar supplier
Kymeta USD62M Satellite communications antennae using metamaterials
Zoox USD50M Autonomous EV mobility-as-a-service in new vehicle types
Metromile USD50M Pay-per-mile insurance
Pearl USD50M Aftermarket ADAS building to autonomous
Navya USD33M Autonomous ground shuttles in Paris, Lyon, Las Vegas
Autotalks USD25M Fabless semiconductor focusing on V2X
Veniam USD22M Connecting vehicles to expand wireless networks
9
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Source: CB Insights, January 2017
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Transportation and mobility attracts big money and names
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Honda part of Grab $750M
funding round
Argo AI receives $1B
from Ford
Volvo Cars plans IPO with $532M funding
TomTom acquires
Autonomos
Gett follows VW’s $300M with $100M
Ola plans $600M funding
round
BMW i Ventures increases fund
size 5X
Peloton wins $5M DOE grant
LeEco secures $600M loan
Intel Capital to invest $250M
over two years
Zoox hits $1.55B
valuation
Nauto raises $9M
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Self-driving: How to get started?
Key information CommentRide hailing State-sponsored pilots
Private R&D and testing Singapore (Delphi, Nutonomy) Pittsburgh (Uber, Delphi)
Special routes Simple and fixed city trips Campus fixed trips Airport shuttle (two-year test) Between train stations
Las Vegas, January 2017 (Navya) Santa Clara University (Auro) New Zealand (Navya) Paris (EasyMile)
Self-driving only zones Small city section at first Urban mega-centers
Campus, military base, airport China, likely as low emission zones
Low-speed driving Urban or closed communities To limit and avoid crashes
Route- or lane-specific Commuter routes HOV lane for self-driving
Replace current ride-share routes Seattle-Vancouver proposal
2017 Spring automotive conference | 8 March 2017
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Mobility
Presentation Name / Month 2016
12
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What is mobility?
The ability to move;
the capacity for movement
The ability to move in our new world of technology and choice;
the capacity for efficient movement in new connected and customized transportation ecosystems
What is new mobility?
Personal mobility is evolving
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Defining new mobility: Car sharing
Return to base
• Start and destination fixed, same station
Major players:• Zipcar, Hertz on Demand;
Cambio; Autolib; EVCard/Net; Zoomcar; Orix;Park24
Peer to peer
• Consumers lend their private car (via agency or internet platform)
Major players:• Turo; WhipCar; Getaround;
Drivy; Ridengine; PPZuche; ATzuche
Return to base
• Start and destination flexible, defined by user
Major players:• Maven; car2go; ReachNow;
Communauto; LeEco-Yidao
A AB
Base AB
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Defining new mobility: Ride hailing and sharing
Ride hailing• Online platform provider
• Drivers providing own cars
• Riders booking cars or trips
• Payment via platform provider
• Mainly short journeys
• City-focused
Major players
• Uber; Lyft; Didi; Ola; Grab; Mytaxi/Hailo
Ride sharing• Online marketplace
• Owner offers “seats” to destination
• Riders use marketplace to select destination
• Contribution to driver expense (e.g., fuel, toll)
• Mainly long journeys
• Intercity focus
Major Players
BlaBlaCar; Gocarshare; CoYatri; RidingO
15
Ride Sharing
Ride Hailing
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Poll question:Have you used ride hailing or car sharing recently?
To take the poll:
Open the conference app Select this session from the agenda Scroll to bottom for the poll
Yes
No
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Autonomous capability will blur the lines between today’s mobility business models and use cases
17
Taxi
Owner/ driver
Taxi
Owner/ driver
Autonomous on-demand
mobility service
Owner/ driver
Past Present Future
For-hire
RentalRental
For-HireRide hailing
Car sharing
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Technology giants (re)defined the mobility conversation…
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In only five years, ride hailing reaches market cap valuations of incumbent automakers
19
020406080
100120140160180200
Title
Source: NYSE/Nasdaq, Bloomberg, TechCrunchNotes: Uber Technologies BlaBla, Grab, Lyft, Ola, and Didi Chuxing are estimated market valuations
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Bill
ion
USD
TitleMarket cap and estimated valuation comparison of automakers and mobility entrants
Automaker Ride hailer Car sharing Ride sharing
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Ride-hailing leaders around the world
20
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USD5.5–6.0Bvaluation
294 citiesUS only
3M MAUas of July 2016
13.9M trips in July 2016
+12% tripsover June 2016
USD68.0Bvaluation
542 citiesworldwide
40M MAUas of October 16
62M trips in July 2016
+15% tripsover June 2016
USD33.8Bvaluation
400 citiesin China
40M MAUas of October 2016
600M trips monthly average
2016
+100% trips
over 7 months
USD5.0Bvaluation
102 citiesin India
40M usersof Ola Wallet as of 2015
USD3.0Bvaluation
35 citiesin Southeast Asia
5.1M trips monthly average
2014
MAU – monthly active users*Data collected from various, inconsistent sources | Metrics and timeline not always comparable*
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• City• Traditional “return to base” car sharing
• Up to 108 miles per day
• Exploring one-way rentals, delivery
• Residential• Small, closed community usage
• Targeting large operators to build scale
• Hub / express drive• Longer term rentals for Uber and Lyft
• ReachNow free-floating car sharing• Ride
• On-demand premium ride hailing
• Fleet solutions• Residential shared vehicles
• Share• P2P car-sharing, delivery and return
• Reserve• Longer-term personal rentals, delivery
21
General Motors – Maven
13,500+ users and 30M+ miles400 vehicles total in 13 US markets
BMW – ReachNow
32,000 users and 1.1M miles800 vehicles total in 3 US markets
…but automakers are adjusting to new mobility services and are also (re)framing the conversation
2017 Spring automotive conference | 8 March 2017
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Mobility business models for long-term success
Simplicity may drive rapid adoption but loyalty may be forgotten when faced
with similar competition…
…whereas rich experiences attract value-seekers and inspire loyalty in heavy users and relatively niche markets.
22
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Smartphone access and digital payment
Widely deployed but single-purpose platform
Connecting users and partners with minimal friction
Flexibility of commitment for drivers
Variable quality of service
Digital access and paymentplus deep vehicle integration
Existing customers yields quality client base, targeted recruitment
Heavy users and brand loyalists require minimal education
Global company infrastructureenables consistent service
Consistently high value andquality of service
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