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Landscape analysis of the Finnish
ITS/MaaS business
Presentation
4th of May 2016
Objectives of the Landscape analysis
• Mapping of the situation of the Finnish ITS/MaaS sector
– Players, structure and segments
– Business potential
• Finnish offering and competitiveness
– Key areas of the Finnish offering
Desk study
Interviews
Value net
description Conclusion and
Recommendations
BeginningofApril2016
EndofJune2016
EXAMPLES OF COMPANIES
INTELLIGENT VEHICLES ITS & MAAS
TEST ECOSYSTEMS
The Understanding
ITS
• Intelligent mobility, upper layer
• Technology utilized in transportation
• Telematics, robotisation, information
solutions, traffic status, transportation
safety, intelligent control, ease of use,
payment systems,, efficiency,
environmental aspects, vehicle
properties
• Enabler of MaaS
MaaS
• A novel service layer for end user
• All transportation produced with
shared resources
• Fixed price for all mobility
• Market based, user centric, resource
wisdom, alternative to private car,
mobility design and planning, door-
to-door, taxi, ride sharing, public
transport, event tickets
• The whole transportation market or
only operation of the services?
• No need for accurate definition (!)
The Need
• Ease, cost and/or security
• Everyone a potential customer, but not necessarily of all services
• Savings in transportation investments for private and public parties
• Less congestion, less pollutants
• Personal attitudes have biggest impact
• No cases yet, big operators in waiting mode
• Need for passenger cars may grow
with MaaS
• Need for sticks and carrots by
public authoritites
The Potential
• A lot is needed to
enable MaaS
• Slow penetration,
incremental
development
• Until 2020 moderate
growth to be expected,
• Currently public
transportation vs.
owning a car
• Hype and trend work for
MaaS
• New service segments
into the game, new
actors will take their
share
• Investments efficiently
used
• All kinds of movements
towards MaaS, a lot of
steps in the way
• Billions in five/ten years,
10 fold to telecom
• “15 %” of the transport-
ation market passenger
transportation, 20 % of
that target for MaaS
The Network
• Transportation operators: public, taxis, rental, car sharing, rental bikes,
• Telecom, IT platform providers, positioning services, OEMs
• “My data” operators
• MaaS operators
• Payment service providers
• Public private to work together more,
common cause to be found
• Local partners are needed for scale up
internationally
• Probability for a Finnish case small
• Service providers have to be bound
to the network
*The company logos mentioned are only for descriptive purpose
Source: Frost & Sullivan / Tekes
The Benchmarks
• Finnish competence is good, limited knowledge about the situation elsewhere a
risk, though
• E.g. in Shanghai single card works in buses, trains and taxis
• A few shining stars, OEMs, digital service companies (Apple, Google etc.)
• US near to commercialization, a lot of startups
• Swedes to be followed, often more agile than Finns
• Finland to learn supporting of own industry from other countries
The Tasks
Enterprises Public authoritities Research
• Market will take care of
matter
• If incentives are in order,
enterprises will take
advantage of them
• MaaS Alliance a
possibility
• Purchasing of knowledge,
participating in the
movement
• Internationalization a
must
• Legislation basically ok
• Deregulation
• Public purchasing in key
role
• Money to follow users in
public services
• Incentives have to be
good
• Liikennekaari
• Support for investments,
R&D and communication
• Observing of the
changes;
• First of a kind solutions
are a challenge for
academia
• Also the required
scientific competence
has to be brought to
Finland
SMART TRAFFIC
– ICT IN INTELLIGENT TRAFFIC SYSTEMS
Key technical competences
• Wireless communications and communication networks
• System design and system architectures of large
information systems
• System integration of large information systems
• Sensor systems (including imaging, radar etc.)
• Big data, machine learning , data analytics
• Data visualization
• Cloud computing
• Application development (e.g. traffic light priorities,
adaptive traffic signs)
• Location information, maps, traffic information,
weather information
• Dependable systems
• Security
SERVICES:
traffic control, intelligent
transportation etc.
MOBILITY ICT INFRASTRUCTURE
INTELLIGENT
VEHICLES
CONSUMER
DEVICES
TRAFFIC
INFRA-
STRUCTURE:
• Sensor systems
• Info displays
• Traffic lights
• Other control
mechanisms
MOBILITY AS A SERVICE
– POWERED BY ICT
Key competences
• Service business concept development
and deployment
• Business model development
• Service platforms and Web backend
• Mobile applications, Web applications
• System integration of large information systems
• Big data, machine learning, analytics
• Data visualization
• Location information and maps
• Payments
• Security
SCHEDULED
TRAFFIC
DEMAND-BASED
TRAFFIC
PRIVATE & SHARED
TRAFFIC
The SWOT
Plus
• Mutual will, technology
• Pragmatic approach in data security
• Innovativeness, technology,
telecommunication
• Nordic service design
• Utilization of Nordic dimension in
communication
• Reputation in game industry
• Distributed system
• Everyone knows each other
• Contacts with public authorities
easy
Minus
• Understanding of own position
• Knowledge of happenings
elsewhere
• Courage to contact international
projects
• Marketing
• Money
• Modest patterns of thinking
• Not densely enough populated
• Lack of major enterprises

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Finnish ITS/MaaS Landscape and Business Potential

  • 1. Landscape analysis of the Finnish ITS/MaaS business Presentation 4th of May 2016
  • 2. Objectives of the Landscape analysis • Mapping of the situation of the Finnish ITS/MaaS sector – Players, structure and segments – Business potential • Finnish offering and competitiveness – Key areas of the Finnish offering Desk study Interviews Value net description Conclusion and Recommendations BeginningofApril2016 EndofJune2016
  • 3. EXAMPLES OF COMPANIES INTELLIGENT VEHICLES ITS & MAAS TEST ECOSYSTEMS
  • 4. The Understanding ITS • Intelligent mobility, upper layer • Technology utilized in transportation • Telematics, robotisation, information solutions, traffic status, transportation safety, intelligent control, ease of use, payment systems,, efficiency, environmental aspects, vehicle properties • Enabler of MaaS MaaS • A novel service layer for end user • All transportation produced with shared resources • Fixed price for all mobility • Market based, user centric, resource wisdom, alternative to private car, mobility design and planning, door- to-door, taxi, ride sharing, public transport, event tickets • The whole transportation market or only operation of the services? • No need for accurate definition (!)
  • 5. The Need • Ease, cost and/or security • Everyone a potential customer, but not necessarily of all services • Savings in transportation investments for private and public parties • Less congestion, less pollutants • Personal attitudes have biggest impact • No cases yet, big operators in waiting mode • Need for passenger cars may grow with MaaS • Need for sticks and carrots by public authoritites
  • 6. The Potential • A lot is needed to enable MaaS • Slow penetration, incremental development • Until 2020 moderate growth to be expected, • Currently public transportation vs. owning a car • Hype and trend work for MaaS • New service segments into the game, new actors will take their share • Investments efficiently used • All kinds of movements towards MaaS, a lot of steps in the way • Billions in five/ten years, 10 fold to telecom • “15 %” of the transport- ation market passenger transportation, 20 % of that target for MaaS
  • 7. The Network • Transportation operators: public, taxis, rental, car sharing, rental bikes, • Telecom, IT platform providers, positioning services, OEMs • “My data” operators • MaaS operators • Payment service providers • Public private to work together more, common cause to be found • Local partners are needed for scale up internationally • Probability for a Finnish case small • Service providers have to be bound to the network *The company logos mentioned are only for descriptive purpose Source: Frost & Sullivan / Tekes
  • 8. The Benchmarks • Finnish competence is good, limited knowledge about the situation elsewhere a risk, though • E.g. in Shanghai single card works in buses, trains and taxis • A few shining stars, OEMs, digital service companies (Apple, Google etc.) • US near to commercialization, a lot of startups • Swedes to be followed, often more agile than Finns • Finland to learn supporting of own industry from other countries
  • 9. The Tasks Enterprises Public authoritities Research • Market will take care of matter • If incentives are in order, enterprises will take advantage of them • MaaS Alliance a possibility • Purchasing of knowledge, participating in the movement • Internationalization a must • Legislation basically ok • Deregulation • Public purchasing in key role • Money to follow users in public services • Incentives have to be good • Liikennekaari • Support for investments, R&D and communication • Observing of the changes; • First of a kind solutions are a challenge for academia • Also the required scientific competence has to be brought to Finland
  • 10. SMART TRAFFIC – ICT IN INTELLIGENT TRAFFIC SYSTEMS Key technical competences • Wireless communications and communication networks • System design and system architectures of large information systems • System integration of large information systems • Sensor systems (including imaging, radar etc.) • Big data, machine learning , data analytics • Data visualization • Cloud computing • Application development (e.g. traffic light priorities, adaptive traffic signs) • Location information, maps, traffic information, weather information • Dependable systems • Security SERVICES: traffic control, intelligent transportation etc. MOBILITY ICT INFRASTRUCTURE INTELLIGENT VEHICLES CONSUMER DEVICES TRAFFIC INFRA- STRUCTURE: • Sensor systems • Info displays • Traffic lights • Other control mechanisms
  • 11. MOBILITY AS A SERVICE – POWERED BY ICT Key competences • Service business concept development and deployment • Business model development • Service platforms and Web backend • Mobile applications, Web applications • System integration of large information systems • Big data, machine learning, analytics • Data visualization • Location information and maps • Payments • Security SCHEDULED TRAFFIC DEMAND-BASED TRAFFIC PRIVATE & SHARED TRAFFIC
  • 12. The SWOT Plus • Mutual will, technology • Pragmatic approach in data security • Innovativeness, technology, telecommunication • Nordic service design • Utilization of Nordic dimension in communication • Reputation in game industry • Distributed system • Everyone knows each other • Contacts with public authorities easy Minus • Understanding of own position • Knowledge of happenings elsewhere • Courage to contact international projects • Marketing • Money • Modest patterns of thinking • Not densely enough populated • Lack of major enterprises