M2M Ecosystem

M2M market view.  More and more M2M segments starting to grow providing  

horizontal as well as vertical business opportunities.

Vert

ical

bus

ines

s op

port

uniti

es

1.

Transport & logistics2.

Vehicle telematics3.

Smart metering/Smart grid4.

Connected consumer electronics

5.

Security6.

Retail & commerce7.

Industrial automation, monitoring & control

8.

Health care9.

Public sector & infrastructure

11

22

33

99

77

6655

88

44

Horizontal business opportunities

M2M Value Chain & Revenue Potential

Evolution of M2M business  along the value chain.

Ongoing upwards shift in revenue contribution.

Hardware (Box + Modem) E2E solutionTransport & Access

M2M Value Chain Stages

(simplified)

Share of total M2M Revenues

(Trend)

Hardware (Box + Modem) E2E solutionTransport & Access

M2M Value Chain Stages

(simplified)Big Data Analytics

Share of total M2M Revenues

(Trend)

Toda

yFu

ture

Big Data Analytics expected to become the main revenue driver in

M2M business

Innovative trends

M2M Services

M2M Developer Platform

M2M

M2M Solutions

Deutsche Telekom M2M  strategy deep dive.

Global developer networkGlobal services

Open and scalable platform,

global SIMInternational MarketingOnline MarketingDirect Marketing & EventsAnalysts Relations

M2M Access &

Enabler Platform

M2M Innovation

Call-a-Bike Connected Fire DetectorRemote Socket

Innovations with ‘ideabird’M2M MarketplaceM2M Partner Portal

Remote machines management

Big Data / Data Analytics

Data Analytics is not a new phenomenon, but the huge amount of data as a result of cross-usage offers new opportunities.

M2M ecosystem orchestration by DTComplex M2M ecosystem with various players

Deutsche Telekom – Single Point of Contact for M2M solutions.

Enabling the full M2M ecosystem.

Hardware & modules

Roll-outConnectivity New business

models

Solution set-upInternational co-operation

partners

expertise from IT and communication networks through Deutsche Telekom, T-Systems and T-Mobile

strong industry-leading partner network

E2E solution set-up and design, roll-out process as well as operations support & management

broad international solution portfolio and industry specific knowledge

secure and stable M2M connectivity around the world

Hardware & modules

Connectivity

International co-operation

partnersSolution set-up

New business models

Roll-out

International Partner Development.  Develop M2M business through World‐Class partnerships and 

flexible go‐2‐market set‐ups.

Customer

Direct

Business

Partner Deutsche Telekom

Deutsche Telekom Partner

Deutsche Telekom and Partner

Best services with strong Deutsche Telekom brands

International M2M expertise

Partner Knowledge Management and Partner Networking Platform

M2M Partnerships in a combined

synergy for maximized share of

profit

DT Partner Management

New business models needed to  enable the M2M ecosystem.

Hardware financing – Example Maingate.

Deutsche Telekom solution

CapEx-free roll-out of smart metering infrastructure with Deutsche Telekom

full roll-out support

best-in-class connectivity provided by Deutsche Telekom

reduction of costs, by enabling load shifting and real time pricing

fulfil

regulatory requirements, like consumer presentation of hourly meter value

Solution

With Energy Management as the core

service, Maingate‘s

Smart Home Solutions

put consumers incontrol of their homes.

E2E solution offers various

benefits to utilities and consumers.

Deutsche Telekom M2M innovation. Example – M2M innovation contest ideabird.

www.ideabird.com

Contest timing:

Feb. 2012 –

Mai 2012

Channels:

Online, with strong Social Media Focus

Quantitative results:

nearly 800 registered users, 80k visitors

from 140 different countries (India 23%, Germany 19%, USA 6%)

Qualitative results:

626 new M2M ideas

Next Steps:

M2M data –

expected growth and challenges

M2M data volume will explode  over coming years.

Strong challenges but also huge potentials.

0

200.000

400.000

600.000

800.000

1.000.000

1.200.000

2011 2013 2015 2017 2019 2021

data volume in Petabyte

(PB)

Challenges for Big Data Analytics:

Data security

Data ownership

Technical data handling and management

Business models

Incentive for provision of data

etc.

source: Machina

Research -

M2M Global Forecast & Analysis 2011-2022 (as of Nov 2012)

Evolution of data  management and analytics.

From separated silos to a consolidated approach.

limited use of available data

huge potential through intelligent data analytics

M2M –

isolated data usage

huge amounts of social data from

Social media

Smartphones

Localization services

cross-usage of M2M and consumer data has not yet been established

Consumer –

isolated data usage

Big Data –

overarching data usage

today tomorrow

Data Analytics

DT Value add:

Dedicated Cloud offerings

Secure data handling

Data enhancement (e.g. network data)

Data Analytics

Public Transport

timetable

real-time

delays

no. of passengers

etc.

Public Transport

timetable

real-time

delays

no. of passengers

etc.

Personal Data

calendar

& time

flight

data

current

location

etc.

Personal Data

calendar

& time

flight

data

current

location

etc.

Traffic

traffic

volume

traffic

jams

parking

lots

etc.

Traffic

traffic

volume

traffic

jams

parking

lots

etc.

Emergency

Services

missions

roadblocks

accidents

etc.

Emergency

Services

missions

roadblocks

accidents

etc.

Smart City as a huge

application area

for

Big Data Analytics.

Contextual

personal assistance.

Consumer

context

related

travel

alarm

based

on real-time

traffic

data

recommendations

about

fastest vehicle

real-time

route planning

Predictive-maintenance measures in order to reduce down-times

Detailed analysis of soil conditions along whole agricultural areas in order to maximize agricultural output

etc.

Predictive maintenance solutions e.g

to reduce downtimes or realize flexible service intervals

Dynamic route planning based on current or expected future traffic conditions

Providing context-related services to passengers

etc.

Electricity grid manage-

ment

based on comprehensive demand and supply side data analysis

Analyze weather reports, tidal phase, geospatial and sensor data for pre-

diction of energy output in renewable energies

etc.

Dynamic traffic steering applications in huge urban areas

Emergency support based on analysis of various data sources in case of public emergencies (natural catastrophes, mass panics, etc.)

etc.

Huge number of  Big Data Analytics application areas.

Selected Use Cases.

Public Sector Energy Vehicle Telematics Industrial Automation

13

If you can think it, it’s possible…

with us!

Jürgen

HaseM2M Competence Center, Deutsche Telekom AGLandgrabenweg

151, 53227 Bonn, Germanywww.telekom.com/m2m