Asset Tracking and Fleet Management: Market Opportunities for Connected Objects
This study presents an overview of the asset tracking market with a perspective of the opportunities for the various connectivity technologies. It presents the technological options for asset tracking with and without direct connectivity, alongside the general dynamics of the logistics asset tracking market. It focuses on the most promising uses cases that require direct connectivity at the object level: fleet management and asset monitoring.
The study also highlights some of the key challenges in the digital transformation of the logistics market and their potential impact on asset tracking, namely collaborative logistics, servicisation, and the testing task of interpreting and/or monetising data.
The report presents market forecasts to 2025 for the markets of fleet management and of connected asset tracking.
The study also highlights some of the key challenges in the digital transformation of the logistics market and their potential impact on asset tracking, namely collaborative logistics, servicisation, and the testing task of interpreting and/or monetising data.
The report presents market forecasts to 2025 for the markets of fleet management and of connected asset tracking.
1. EXECUTIVE SUMMARY
1.1. Key findings
1.2. Recommendations
2. GENERAL METHODOLOGY OF IDATE DIGIWORLD’S REPORTS
3. CONCEPTS AND TECHNOLOGIES
3.1. The concepts: an overview
3.1.1. Definitions
3.1.2. Main use cases and industries
3.2. Key Technologies
3.2.1. Identification technologies
3.2.2. M2M communication technologies
3.2.3. Alternatives: asset tracking without connecting the asset
4. MARKETS AND APPLICATIONS
4.1. Market context: logistics
4.1.1. Market structure and dynamics
4.1.2. The stakes of the logistics digital transformation
4.2. Focus on fleet management
4.2.1. Use cases and requirements
4.2.2. Value chain and player strategy
4.2.3. Development state, trends and business impact
4.3. Focus on asset monitoring
4.3.1. Use cases and requirements
4.3.2. Value chain and player strategy
4.3.3. Case studies
4.3.4. Optimum interpretation of the data collected
4.3.5. Collaborative logistics
4.3.6. Data monetisation and servicisation
5. MARKET DEVELOPMENT AND FORECASTS
5.1. Market development factors
5.1.1. Analysis of growth drivers
5.1.2. Analysis of potential barriers to development
5.1.3. Vision of development
5.2. Market sizing
1.1. Key findings
1.2. Recommendations
2. GENERAL METHODOLOGY OF IDATE DIGIWORLD’S REPORTS
3. CONCEPTS AND TECHNOLOGIES
3.1. The concepts: an overview
3.1.1. Definitions
3.1.2. Main use cases and industries
3.2. Key Technologies
3.2.1. Identification technologies
3.2.2. M2M communication technologies
3.2.3. Alternatives: asset tracking without connecting the asset
4. MARKETS AND APPLICATIONS
4.1. Market context: logistics
4.1.1. Market structure and dynamics
4.1.2. The stakes of the logistics digital transformation
4.2. Focus on fleet management
4.2.1. Use cases and requirements
4.2.2. Value chain and player strategy
4.2.3. Development state, trends and business impact
4.3. Focus on asset monitoring
4.3.1. Use cases and requirements
4.3.2. Value chain and player strategy
4.3.3. Case studies
4.3.4. Optimum interpretation of the data collected
4.3.5. Collaborative logistics
4.3.6. Data monetisation and servicisation
5. MARKET DEVELOPMENT AND FORECASTS
5.1. Market development factors
5.1.1. Analysis of growth drivers
5.1.2. Analysis of potential barriers to development
5.1.3. Vision of development
5.2. Market sizing
TABLES
Table 1: Asset tracking main use cases, by vertical industries
Table 2: Identification technologies
Table 3: Overview of communication technology features
Table 4: Value propositions of the various communication technologies
Table 5: Features of main short-range technologies
Table 6: Features of main LPWA technologies, April 2018
Table 7: Features of main cellular technologies
Table 8: Features of 5G IoT/M2M applications
Table 9: Features of main existing satellite solutions for M2M
Table 10: Technical requirements of fleet tracking
Table 11: Main fleet management providers by installed base, North America, Q4 2016
Table 12: Main fleet management providers by installed base, Europe, Q4 2016
Table 13: Main fleet management providers by installed base, China, Q4 2016
Table 14: Heavy vehicle manufacturers installed base of fleet management in Europe, Q4 2016
Table 15: Technical requirements of connected asset tracking
Table 16: Key strength and weakness of various stakeholders on the vehicle tracking market
Table 1: Asset tracking main use cases, by vertical industries
Table 2: Identification technologies
Table 3: Overview of communication technology features
Table 4: Value propositions of the various communication technologies
Table 5: Features of main short-range technologies
Table 6: Features of main LPWA technologies, April 2018
Table 7: Features of main cellular technologies
Table 8: Features of 5G IoT/M2M applications
Table 9: Features of main existing satellite solutions for M2M
Table 10: Technical requirements of fleet tracking
Table 11: Main fleet management providers by installed base, North America, Q4 2016
Table 12: Main fleet management providers by installed base, Europe, Q4 2016
Table 13: Main fleet management providers by installed base, China, Q4 2016
Table 14: Heavy vehicle manufacturers installed base of fleet management in Europe, Q4 2016
Table 15: Technical requirements of connected asset tracking
Table 16: Key strength and weakness of various stakeholders on the vehicle tracking market
FIGURES
Figure 1: Asset tracking – definition
Figure 2: Scope of 5G
Figure 3: 5G standardisation and introduction timeline
Figure 4: AIS services and potential customers
Figure 5: Ship fleet tracking and management using AIS
Figure 6: Amazon Go store
Figure 7: Shipment tracking solution
Figure 8: Shipment tracking through a smartphone application
Figure 9: Value chain of the logistics industry
Figure 10: World merchandise trade by major product grouping, 2006-2016
Figure 11: Logistics industry vision of its digital transformation (2016)
Figure 12: Connectivity requirements of logistics use cases
Figure 13: Logistics industry current communication technology choices by sector
Figure 14: Features of a fleet tracking solution
Figure 15: Preventive maintenance, an example
Figure 16: Fleet tracking value chain
Figure 17: Vehicle manufacturer fleet tracking offering
Figure 18: Features of Rhino Tracking
Figure 19: Rhino Tracking dashboard
Figure 20: Ocean fleet tracking
Figure 21: Vehicle sharing application
Figure 22: Evolution of road traffic in the US, 1960-2012
Figure 23: Connected asset tracking value chain
Figure 24: Device fixed on a classic container (left) network architecture for sea freight (right)
Figure 25: Increased reach using a local-mesh network
Figure 26: Overview of TRAXENS’ solution
Figure 27: Indoor connected asset tracking, based on Wifi network
Figure 28: Apitrak’s web interface to find medical devices
Figure 29: Bluetooth data logger (Atlas)
Figure 30: LoRa data logger (Cobalt ML3)
Figure 31: Machine learning
Figure 32: Asset tracking data used for fraud and anomaly detection
Figure 33: Benefits of information exchange between various stakeholders of the logistics ecosystem
Figure 34: Blockchain-based platform for information exchange in the logistics ecosystem
Figure 35: Location data visualisation from the location data market Flux Vision
Figure 36: Asset tracking and servicisation business models
Figure 37: Cable drums
Figure 38: Asset monitoring device installed on cable drums
Figure 39: Architecture of asset monitoring with unlicensed LPWA connectivity
Figure 40: Installed base of fleet management devices
Figure 41: CAGR of fleet management devices for each region, in percent, over the period
Figure 42: Installed base of asset tracking devices
Figure 1: Asset tracking – definition
Figure 2: Scope of 5G
Figure 3: 5G standardisation and introduction timeline
Figure 4: AIS services and potential customers
Figure 5: Ship fleet tracking and management using AIS
Figure 6: Amazon Go store
Figure 7: Shipment tracking solution
Figure 8: Shipment tracking through a smartphone application
Figure 9: Value chain of the logistics industry
Figure 10: World merchandise trade by major product grouping, 2006-2016
Figure 11: Logistics industry vision of its digital transformation (2016)
Figure 12: Connectivity requirements of logistics use cases
Figure 13: Logistics industry current communication technology choices by sector
Figure 14: Features of a fleet tracking solution
Figure 15: Preventive maintenance, an example
Figure 16: Fleet tracking value chain
Figure 17: Vehicle manufacturer fleet tracking offering
Figure 18: Features of Rhino Tracking
Figure 19: Rhino Tracking dashboard
Figure 20: Ocean fleet tracking
Figure 21: Vehicle sharing application
Figure 22: Evolution of road traffic in the US, 1960-2012
Figure 23: Connected asset tracking value chain
Figure 24: Device fixed on a classic container (left) network architecture for sea freight (right)
Figure 25: Increased reach using a local-mesh network
Figure 26: Overview of TRAXENS’ solution
Figure 27: Indoor connected asset tracking, based on Wifi network
Figure 28: Apitrak’s web interface to find medical devices
Figure 29: Bluetooth data logger (Atlas)
Figure 30: LoRa data logger (Cobalt ML3)
Figure 31: Machine learning
Figure 32: Asset tracking data used for fraud and anomaly detection
Figure 33: Benefits of information exchange between various stakeholders of the logistics ecosystem
Figure 34: Blockchain-based platform for information exchange in the logistics ecosystem
Figure 35: Location data visualisation from the location data market Flux Vision
Figure 36: Asset tracking and servicisation business models
Figure 37: Cable drums
Figure 38: Asset monitoring device installed on cable drums
Figure 39: Architecture of asset monitoring with unlicensed LPWA connectivity
Figure 40: Installed base of fleet management devices
Figure 41: CAGR of fleet management devices for each region, in percent, over the period
Figure 42: Installed base of asset tracking devices
