Industry Overview

The volume of data being generated and collected from fleet vehicles is growing exponentially. What is the value of this data and how to capitalize on it is the next biggest challenge the fleet industry has to face. 

This report looks at the fleet landscape and the current trends and future opportunities being presented. The report analyzes the opportunities to monetize data through an overview of use cases and case studies. The report also maps the monetization eco-system in fleet, presenting partnership options of how data analytics companies and content companies can work with OEMs. In conclusion, the report looks at what lessons the fleet industry can learn from other industries, such as retail, e-commerce, mobile and travel.

 

Key Areas Covered

  • Business models for utilizing fleet data effectively to generate revenue
  • Partnership options and examples for effective collaboration and pooling of fleet data
  • Extensive case studies and analysis
  • Lessons and examples from other industries

Download the brand new report brochure here with full contents and list of figures

Your Key Questions Answered

  • How is the fleet market changing?

  • How are fleet companies using data to their advantage?

  • Why is it essential to have an effective data strategy?

  • How are successful companies working with data and what lessons can be learnt?

  • What are the experts predicting for connected fleets?

  • How will increased data and connectivity affect fleet?

  • What are the commercial model options for fleet players working with data?

  • What are the best data use cases in fleet?

  • What can fleet players learn from looking at established strategies?

  • What are the main challenges in working with big data and how best to navigate them?

  • What are the examples in the following areas?

    • Agriculture
    • Construction
    • Driver Behaviour
    • Fleet Management
    • Freight Efficiency
    • Insurance
    • Mobile Workforce Management
    • Original Equipment Manufacturing
    • Telematics Service Provider
    • Telematics Software Vendor

Download the brand new report brochure here with full contents and list of figures

Contributors

  • PTV Group
  • Fleetmatics
  • ATG risk
  • Cargomatic
  • Bus Eirann
  • Zurich Global
  • Donlen (a Hertz company)
  • Navistar
  • Peloton
  • AXINN
  • John Deere
  • ARI
  • BVRLA
  • Caterpillar

Previous Buyers of TU-Automotive Reports Include:

BMWDaimlerHondainteljaguar-land-roverTOYOTA

Who is the report for?

  • TSPs
  • Content companies (e.g. Here, TomTom and other companies who consume data that cars collect)
  • Data analytics company (understand how to pitch their service to potential clients)

Download the brand new report brochure here with full contents and list of figures

Contents

Welcome...3

About TU-Automotive...5

Acknowledgements...7

List of Figures...10

Key terms...11

Executive Summary...11

  • Compelling fleet data opportunities...11
  • The sharing economy...11
  • Autonomous vehicles...11
  • Shift to business solutions & services...11
  • Data exchanges...12
  • Partnerships...12
  • Barriers & issues...12
  • Privacy & data security...12
  • Data liability...12
  • Lessons learned...12

Introduction...15

1. Fleet connected services and data business basics...15

  • 1.1 Fleet data value chain and flow...15
  • 1.2 Importance of efficient data management and data monetization...16
  • 1.3 Trends in fleet data monetization...16
    • 1.3.1 Business driven solutions...16
    • 1.3.2 Correlation of driver behavior and vehicle operations data...17
    • 1.3.3 Frequency of data collection increasing...17
    • 1.3.4 Hardware agnostic...17
    • 1.3.5 The sharing economy...17
    • 1.3.6 Crowd sourcing of data...17
    • 1.3.7 Data exchange...17
  • 1.4 Why is it crucial for fleet players to put strategies in place now?...17
  • 1.5 Regional differences...18

2. Partnership & commercial models...19

  • 2.1 Partnership models...19
  • 2.2 Commercial & monetization models...19
    • 2.2.1 Commercial model option 1: Pay for service...19
    • 2.2.2 Commercial model option 2: Share in savings due to increased efficiency...20
    • 2.2.3 Commercial model option 3: Per transaction or event...20
    • 2.2.4 Commercial model option 4: Free with vehicle purchase...20
    • 2.2.5 Commercial model option 5: Bundled in cost of vehicle...20

3. Barriers & issues....21

  • 3.1 Data privacy...21
  • 3.2 Data liability...22

4. Case study categories...26

  • 4.1 Agriculture & construction...26
  • 4.2 Data exchange...26
  • 4.3 Driver behavior analysis...26
  • 4.4 Fleet management companies...27
  • 4.5 Freight efficiency...27
  • 4.6 Insurance...27
  • 4.7 Original equipment manufacturers...27
  • 4.8 Telematics service providers...27
  • 4.9 Telematics software vendors...27
    • 4.10 Case studies...27
      • 4.10.1 Accuscore: Risk based insurance...27
      • 4.10.1.1 Business model...27
      • 4.10.1.2 Partnerships...29
      • 4.10.1.3 Barriers and issues...30
      • 4.10.1.4 Lessons learned...30
      • 4.10.1.5 Analysis & commentary...30
    • 4.10.2 ATG Risk Solutions...31
      • 4.10.2.1 Business model...31
      • 4.10.2.2 Partnerships...33
      • 4.10.2.3 Barriers and issues...33
      • 4.10.2.4 Lessons learned...33
      • 4.10.2.5 Analysis & commentary...33
    • 4.10.3 Cargomatic: Platform as a service making freight more efficient...34
      • 4.10.3.1 Business model...34
      • 4.10.3.2 Partnerships...36
      • 4.10.3.3 Barriers and issues...36
      • 4.10.3.4 Lessons learned...36
      • 4.10.3.5 Analysis & commentary...36
    • 4.10.4 Caterpillar: Optimizing equipment to optimize business results...36
      • 4.10.4.1 Business model...37
      • 4.10.4.2 Partnerships...37
      • 4.10.4.3 Barriers and issues...39
      • 4.10.4.4 Lessons learned...39
      • 4.10.4.5 Analysis & commentary...39
    • 4.10.5 Donlen (Hertz): Merging fleet management with telematics for better business results...40
      • 4.10.5.1 Business model...40
      • 4.10.5.2 Partnerships...42
      • 4.10.5.3 Barriers and issues...42
      • 4.10.5.4 Lessons learned...42
      • 4.10.5.5 Analysis & commentary...43
    • 4.10.6 Fleetmatics: Making small to medium fleets more efficient...43
      • 4.10.6.1 Business model...43
      • 4.10.6.2 Partnerships...45
      • 4.10.6.3 Barriers and issues...45
      • 4.10.6.4 Regional differences...45
      • 4.10.6.5 Lessons learned...45
      • 4.10.6.6 Analysis & commentary...46
    • 4.10.7 John Deere: Fully integrating equipment into the overall business operations...46
      • 4.10.7.1 Business model...46
      • 4.10.7.2 Agriculture...46
      • 4.10.7.3 Power systems...48
      • 4.10.7.4 Construction...49
      • 4.10.7.5 Lessons learned & partnering...49
      • 4.10.7.6 Analysis & commentary...49
    • 4.10.8 MiX Telematics: Global, comprehensive connected fleet services...50
      • 4.10.8.1 Business model...50
      • 4.10.8.2 Partnerships...51
      • 4.10.8.3 Barriers and issues...51
      • 4.10.8.4 Regional differences...51
      • 4.10.8.5 Lessons learned...51
      • 4.10.8.6 Analysis & commentary...51
    • 4.10.9 Navistar: Truck OEM improving the total ownership experience...52
      • 4.10.9.1 Business model...52
      • 4.10.9.2 Partnerships...53
      • 4.10.9.3 Barriers and issues...54
      • 4.10.9.4 Lessons learned...54
      • 4.10.9.5 Analysis & commentary...54
    • 4.10.10 Omnitracs: Early leadership in telematics...54
      • 4.10.10.1 Business model...54
      • 4.10.10.2 Partnerships...54
      • 4.10.10.3 Barriers and issues...56
      • 4.10.10.4 Lessons learned...56
      • 4.10.10.5 Analysis & commentary...57
    • 4.10.11 Peloton Technology: Clear value on the road to autonomous driving...57
      • 4.10.11.1 Business model...57
      • 4.10.11.2 Partnerships...60
      • 4.10.11.3 Barriers and issues...60
      • 4.10.11.4 Lessons learned...60
      • 4.10.11.5 Analysis & commentary...61
    • 4.10.12 PTV Group: Increasing trip efficiency... . 61
      • 4.10.12.1 Business model...61
      • 4.10.12.2 Partnerships...62
      • 4.10.12.3 Barriers, issues, and regional differences...63
      • 4.10.12.4 Lessons learned...63
      • 4.10.12.5 Analysis & commentary...63
    • 4.10.13 Zurich Global: Insight to risk via telematics...63
      • 4.10.13.1 Business model...63
      • 4.10.13.2 Partnerships...64
      • 4.10.13.3 Barriers, issues & regional differences....65
      • 4.10.13.4 Lessons learned...65
      • 4.10.13.5 Analysis & commentary...65

5. Compelling opportunities....67

  • 5.1 Sharing economy...67
  • 5.2 Autonomous vehicles...68
  • 5.3 Shift to business solutions & services...68
  • 5.4 Data exchanges...68

6. Lessons learned from other industries....69

  • 6.1 Sharing economy...69
  • 6.2 Social media crowd sourcing...69

7. Final analysis & commentary...71

Methodology...73

Abbreviations...74

References...76

Download the brand new report brochure here with full contents and list of figures

List of Figures

Figure 1: Fleet Data Value Chain and Flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Figure 2: Accuscore Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Figure 3: ATG Risk Solutions Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Figure 4: Cargomatic Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Figure 5: Caterpillar Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Figure 6: Donlen Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Figure 7: Fleetmatics Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Figure 8: John Deere Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Figure 9: Mix Telematics Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Figure 10: Navistar Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Figure 11: Omnitracs Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
Figure 12: Peloton Technology Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Figure 13: PTV Group Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Figure 14: Zurich Global Business Model Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53

Download the brand new report brochure here with full contents and list of figures

 

Methodology

  • 15-20 interviews (case studies + experts’ opinion), a mix of OEMs, Tier 1s, content providers and companies outside the automotive industry as needed
  • Author’s research and expertise
  • Sector’s research and knowledge

Leigh Ann Ryals is the co-founder of M2MV, a leading international M2M/IoT business and strategy consulting firm. Currently, she serves as the firm’s Managing Member and a senior consultant where she leads a wide array of investigatory projects, extracts key data to identify optimal market opportunities, designs powerful penetration tactics, and compiles market development metrics

Roger Dewey is the founder and a Sr. M2M/IoT Consultant for M2MV. From 2009 to 2011, Dewey served as Managing Member of M2MV and was appointed as the Chief Operating Officer of Device Cloud Networks (DCN) and establishing it as the world’s leading M2M services platform company.

Before its publication, this report will have undergone a rigorous four step process:

  • Industry research
  • Case Studies
  • Analysis
  • Peer-Reviewing


Industry Research

At the very beginning of the project 25 calls were conducted with experts representing a broad spectrum of the automotive telematics industry in order to identify:

  • Key industry trends
  • Challenges and opportunities facing executives
  • Significant information gaps
By company type

By company type

 

By job title

By job title

Case Studies

This report not only has contributions from leading industry experts including John Deere, Caterpillar, Donlen and many more but also we’ve provided 13 practical case studies from companies at the forefront of this industry.

Download the brand new report brochure here with full contents and list of figures

Please contact me on the details below if you have any questions.

Emilie Leblanc
Emilie Leblanc
Marketing Manager
TU-Automotive
+1 877 331 2547 (US)
+44 (0) 203 869 6720 (Global)
emilie@tu-auto.com