Dublin, Feb. 18, 2020 (GLOBE NEWSWIRE) — The “Fleet Tracking Market by Mode (Air, Roadway, Railway, and Water) Fleet Type (Services, Transport, Taxi, Special Purpose), Vehicle Type (Car, Container, Rail, Plane, Ship, Truck, Van), Industry Verticals and Regions 2020 – 2025” report has been added to ResearchAndMarkets.com’s offering.While the fleet tracking market has made great strides towards automation and ease of use for the fleet owner, commercial fleets remain largely unconnected today. To minimize the impact of interconnecting a fleet, leading fleet management companies such as Momentum IoT are reducing end-user friction through user-friendly, self-service fulfillment that is transaction-based and highly intuitive. This is moving the fleet tracking market from a higher cost and complex marketplace to one that is lower cost and simpler to manage.Select Research Findings:Fleet is rapidly moving to a cloud-based support approach, especially with edge computingFleets are largely not connected today, representing a huge upside for the fleet management marketLargely untapped SMB market that segment represents 68% of the market, but 70% have no telematicsLeading fleet management companies are moving clients towards a transaction-based self-service modelIntegrating artificial intelligence algorithms provides opportunities for value-added fleet management servicesKey Topics Covered: 2. Introduction
2.1 Fleet Tracking Overview
2.1.1 Fleet Tracking Functions
2.1.2 Fleet Tracking Systems
2.2 Fleet Tracking Business Drivers
2.2.1 Connected Devices, Equipment, and Vehicles
2.2.1.1 Connected Consumer Devices: Homes, Automobiles, and More
2.2.1.2 Connected Enterprise Assets: Beyond Commercial Fleets
2.2.1.3 Connected Industrial Assets: Special Purpose Vehicles and Equipment
2.3 Fleet Tracking Technologies and Integration
2.3.1 Onboard Vehicle Telematics
2.3.1.1 Presence and Location Determination
2.3.1.2 Machine to Machine (M2M) and Internet of Things (IoT)
2.3.1.3 Command and Control of Enterprise Assets
2.3.2 Fleet Tracking Computing
2.3.2.1 Embedded and On-board Computing
2.3.2.2 Remote Servers and Computing
2.3.2.3 Cloud and Edge Computing
2.3.3 Fleet Tracking Devices
2.3.3.1 Embedded Devices
2.3.3.1.1 Automatic Onboard Recording Devices (AOBRD)
2.3.3.1.2 Electronic Logging Devices (ELD)
2.3.3.2 Plug and Play OEM Devices
2.3.3.2.1 On-board Diagnostic (OBD) Port Enabled
2.3.3.2.2 Other OEM Devices
2.3.4 Command and Control
2.3.4.1 Fleet Management Systems and Solutions
2.3.4.1.1 Asset Management Data
2.3.4.1.2 Personnel Management Data
2.3.4.2 Integrating Big Data Analytics with Tracking
2.3.5 Other Technology Considerations
2.3.5.1 Mobility Management and Connectivity Technology
2.3.5.2 5G and Multi-access Edge Computing
2.3.5.3 Artificial Intelligence in Fleet Tracking
2.3.5.4 Advanced Data Analytics Support of Fleet Tracking
2.3.5.5 Blockchain Technology and Fleet Tracking
2.3.5.6 Autonomous VehiclesCompanies Mentioned
AdvantrackAlphabetARI FleetArventoAT&T (Fleet Complete)Azuga FleetBlackberry (Radar, QNX)CarmalinkClearPath GPSDriveFactorEstrackFleet CompleteFleet Safety InstituteFleetillaFleetisticsFleetManagerFleetMindFleetupGeotabGlobalstarGo FleetGPS InsightGPS TrackitGsattrackGurtamInseegoIntouchGPSLojackLytxM2M in MotionMix TelematicsMomentum IoTNexTraqOmnitracsPasstimePedigree TechnologiesRaven ConnectedRhino FleetRoambeeSafeFleetSamsaraSkybitzSmart Path GPSSpireon (FleetLocate)SprintT-Mobile PartneringTelefonicaTeletrac NavmanTennaTomTomTrimbleVerizon ConnectVodafoneZonar SystemsZubie
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