MarkWide Research

Sale!

Smart Fleet Management Market Analysis- Industry Size, Share, Research Report, Insights, Covid-19 Impact, Statistics, Trends, Growth and Forecast 2022-2030

Published Date: July, 2022
No of Pages: 165
Delivery Format: PDF + Excel

$2,950.00

Summary of the Report

The global market for intelligent fleet management was worth $38,245.6 million in 2019 and is expected to grow to $98,656.5 million by 2030, an increase of 15.8 per cent. Asia-Pacific was the top revenue earner and grew at 17.7 per cent. The intelligent fleet management process is the application of technology for fleet management to control the maintenance, upkeep, and the most efficient operation of the entire fleet. It makes it possible to use digital technology to manage fuel and maintenance in addition to driver safety monitoring, telematics, and intelligent surveillance. Innovative fleet management has been increasing rapidly since it offers important notifications, real-time alerts on drivers’ behaviour and behaviour, and anti-theft and safety alerts.

Additionally, intelligent fleet management increases security, assures compliance and helps reduce expenses. Competent fleet managers track the desired transportation medium in real-time to reduce the time between idle periods and transport expenses, thus increasing the effectiveness of managing fleets. This is to offer effective fleet tracking, real-time monitoring, a remote server specifically for data from the fleet, and security functions in one system.

The COVID-19 crisis has created instability in the market due to slowing down supply chains, affecting the growth of businesses, and causing fear among customer segments. Fleet managers are expected to focus on managing their working capital, and there are fewer chances of investing heavily in the latest technology. But, there are the most likely opportunities for sales growth for the fleet management system due to its practicality in improving safety and cost-effectiveness. In the COVID-19 health emergency, major players sign agreements and contracts to secure longer-term business opportunities. These contracts for long-term duration are advantageous for intelligent technology providers for fleet management and fleet operators or users as well as end-users.

Factors like the integration of real-time monitoring systems into vehicles, the increasing use of cloud-based technologies for intelligent fleet management, and enhanced monitoring of vehicles and fuel management are predicted to propel the global market for intelligent fleet management. However, the cost-consciousness of fleet owners, as well as cybersecurity concerns, are likely to limit the growth of this market in the coming forecast. However, improvements in the safety of drivers and vehicles as well as improved business decisions for fleet managers, the development of an intelligent transportation system and the increase in demand from emerging countries are likely to create lucrative opportunities to expand markets in the near term.

The global market for intelligent fleet management is estimated to be classified according to the type of transport, application connectivity, operation and region. Based on the mode of transport, the global market for intelligent fleet management has been classified into roads and airways, marine, and railways. Based on the type of application, the market is separated into trackers, ADAS, optimization, fuel cards, and automated vehicle identification. Based on connectivity, it’s divided into two categories: short-range and range. In terms of operating, the market is divided into commercial and private. The global market for intelligent fleet management has been examined all over North America, Europe, Asia-Pacific and LAMEA.

Smart Fleet Management Market

The global smart fleet management players in the global market include Cisco Systems, Inc., Continental AG, DENSO CORPORATION, Globecomm (Speedcast International Limited. ), IBM, Samsung Electronics Co. Ltd., Tech Mahindra Limited, Robert Bosch GmbH, Siemens as well as Sierra Wireless.

Integration of the real-time monitoring of fleets in vehicles

Fleet operators can monitor their vehicles at a real-time pace and verify if the drivers are following the recommended route or if there are divergences. To manage their fleet, cloud-based solutions like A.I., IoT, and big data, are utilized to collect data from the beginning. For example, Techwave Consulting Inc. utilizes sensors integrated into vehicles to track the value of goods when they connect to cloud services and transmit results in real-time. Additionally, the activities important in intelligent fleet management are vehicle tracking and tracking of drivers and assets management, 2-way communications with drivers, safety and time management, scheduling of the delivery process and many more. Additionally, introducing new products and the benefits of intelligent fleet management tools, including rapid access and response to large-area coverage and cost savings, assist companies in improving their productivity and efficiency, increasing the demand for more innovative services for their fleet management.

More the use of cloud-based technologies for intelligent fleet management solutions

With the increasing demand for connectivity and solutions for managing fleets, Smart devices and apps are now the preferred devices for fleet managers. Monitoring assets, monitoring drivers fleet optimization, driver monitoring, and other related issues are dealt with by cloud-based management solutions. Cloud also allows the backing up and recovering data and applications to another storage device or infrastructure. Additionally, many companies have adopted different cloud models to eliminate the shortcomings of traditional solutions for managing fleets; for instance, aside from monitoring Softwebs cloud-based solutions powered by massive data analytics A.I., IoT, and other emerging intelligent solutions for fleet management, the information about fleets including routes and fuel analytics, and driving patterns to boost efficiency and reduce fuel. Furthermore, A.I. and machine-learning capabilities enable autonomous dispatching and routing and allow fleet managers to anticipate the health of vehicles and driving patterns depending on vehicle use, as well as lower maintenance requirements and cost-effectiveness. All of these factors contribute to the expansion of the industry.

Better driver and vehicle security

Geo-fencing, real-time monitoring, sophisticated driver assist systems (ADAS), and diagnostics are integrated into marine transportation, railways and automobiles due to the increasing demands for the safety of fleets and security during the transportation of people and goods. According to experts, the management of fleets is predicted to increase rapidly in developing countries. Due to the regulations, Asia-Pacific has rapidly adopted fleet management tools like installing a Global Positioning System (GPS) for commercial vehicles. Monitoring and monitoring the drivers and fleets are among the primary responsibilities of an administrator of fleets. Furthermore, the number of accidents has grown at an alarming rate, making it an essential issue to be dealt with by owners of the fleet.

Furthermore, the driver’s and vehicle’s safety and security have always been important from the automakers’ standpoint. In the event of an accident, the intelligent fleet management-equipped vehicles will transmit an SOS message, along with the locations of the driver’s position. Owners can locate their vehicles immediately with a smartphone application designed specifically for this purpose if a vehicle is stolen. Thus, the increased demand for security and safety will likely drive the development of the market for intelligent fleet management.

Cost concerns for fleet owners

The high cost of fleet management software and other operations significantly impacts returns on investments (ROI) that local fleet administration companies have since they cannot afford it. According to the data provided by Expert Market, the installation cost for an effective fleet management system could be as high as $100 for advanced tier systems. Additional costs associated with providing connectivity to the vehicle could be a limitation for the innovative markets for managing fleets. The provision of connectivity solutions inside the vehicle can result in costs to users in the form the hardware, connectivity options and telecom service fees. The additional cost for consumers could be a significant influence on the market for intelligent fleet management. Additionally, the cost of connectivity, labour, and many other aspects are expected to limit local business development.

Impact analysis of COVID-19

The COVID-19 crisis has created uncertainty for the market, slowing supply chains, affecting the growth of businesses, and causing anxiety among customers. Fleet operators will concentrate on managing their working capital, and there are fewer chances to invest heavily in the latest technology. But, there is most likely to be a surge in sales for the innovative fleet management technology due to its ability to operate and improve safety, efficiency, and cost-effectiveness. Market participants in the more intelligent fleet management system are adopting some strategies for managing the fleet’s operation, including slashing budgets for fleets, longer duration of equipment, reducing personnel sizes, and reducing wages in the short term to combat the economic downturn. Due to the economic downturn in the last few years, most users in intelligent fleet management have been moving towards commercial fleet management. However, they have installed and managed a private fleet. The uncertain demand outlook for the COVID-19 epidemic for the end-users and the significant capital investment likely drive the trend towards managing commercially owned fleets. Commercial fleet management is a way to ensure efficient working capital management, and there is no need for an additional workforce to oversee the fleet’s operations.

Asia Pacific would exhibit the most impressive CAGR of 14.4 per cent between 2020 and 2030.

The Benefits for Stakeholders

  • This study provides the analytic representation of the global market for intelligent fleet management analysis and the present trends and forecasted future estimates to illustrate the potential investment pockets.
  • The total market for intelligent fleet management is determined by knowing profitable trends that will allow you to get a more significant base.
  • The report contains information about key drivers, restrictions and opportunities in the global market for intelligent fleet management and provides a thorough analysis of its impact.
  • The market’s current state is analyzed from 2019 to 2030 to measure its financial competence.
  • Porter’s Five Forces analysis shows the power of suppliers and buyers in the market.
Smart Fleet Management Market Report Scope and Segmentation 
 
ATTRIBUTESDETAILS
ESTIMATED YEAR2022
BASE YEAR2021
FORECAST YEAR2030
HISTORICAL YEAR2017-2021
UNITValue (USD Million/Billion)
BY REGIONNorth America, Europe, Asia Pacific, Latin America, Middle East and Africa

The Key Market Segments

  • Through Application
    • Tracking
    • ADAS
    • Optimization
    • Fuel Cards
    • Automatic Vehicle Identification
  • By Connectivity
    • Short Range
    • Long Range
  • By Way Of Transport
    • Roadways
    • Marine
    • Airways
    • Railways
  • By Operation
    • Private
    • Commercial
  • By Region
  • North America
      • The U.S.
      • Canada
    • Mexico
  • Europe
      • Germany
      • France
      • Italy
      • The U.K.
    • Rest of Europe
  • Asia-Pacific
      • China
      • India
      • Japan
      • South Korea
    • Rest of Asia-Pacific
  • LAMA
      • Latin America
      • Middle East
    • Africa

Principal Market Participants

  • Continental AG
  • Cisco Systems, Inc
  • The DENSO CORPORATION
  • Globecomm Systems Inc. (Speedcast International Limited)
  • International Business Machines Corporation (IBM)
  • Robert Bosch GmbH
  • Samsung Electronics Co. Ltd. (Harman International Industries, Inc.)
  • Siemens
  • Sierra Wireless
  • Tech Mahindra Limited

 

Table of Contents

CHAPTER 1:INTRODUCTION

1.1.Report description
1.2.Key benefits for stakeholders
1.3.Key market segments
1.4.Research methodology

1.4.1.Primary research
1.4.2.Secondary research
1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.CXO perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key findings

3.2.1.Top impacting factors
3.2.2.Top investment pockets
3.2.3.Top winning strategies

3.3.Porters five forces analysis
3.4.Market share analysis, 2019
3.5.Market dynamics

3.5.1.Drivers

3.5.1.1.Integration of real-time fleet monitoring systems in vehicles
3.5.1.2.Increase in use of cloud-based technology for smart fleet management solutions
3.5.1.3.Enhance vehicle monitoring and fuel management

3.5.2.Restraints

3.5.2.1.Price concerns of fleet owners
3.5.2.2.Cyber security concerns

3.5.3.Opportunities

3.5.3.1.Better driver and vehicle safety
3.5.3.2.Enhancement of business decisions for fleet owners
3.5.3.3.Development of intelligent transportation system
3.5.3.4.Increase in demand from developing countries

3.6.COVID-19 impact analysis

3.6.1.Evolution of outbreaks
3.6.2.Macro-economic impact analysis
3.6.3.Micro-economic impact analysis
3.6.4.Impact on industry analysis
3.6.5.Regulatory framework for solving market challenges
3.6.6.Key player strategies to tackle the negative impact in the industry
3.6.7.Opportunity analysis for players

CHAPTER 4:SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION

4.1.Overview
4.2.Roadways

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country

4.3.Marine

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

4.4.Airways

4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region
4.4.3.Market analysis, by country

4.5.Railways

4.5.1.Key market trends, growth factors, and opportunities
4.5.2.Market size and forecast, by region
4.5.3.Market analysis, by country

CHAPTER 5:SMART FLEET MANAGEMENT MARKET, BY APPLICATION

5.1.Overview
5.2.Tracking

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country

5.3.ADAS

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country

5.4.Optimization

5.4.1.Key market trends, growth factors, and opportunities
5.4.2.Market size and forecast, by region
5.4.3.Market analysis, by country

5.5.Fuel Cards

5.5.1.Key market trends, growth factors, and opportunities
5.5.2.Market size and forecast, by region
5.5.3.Market analysis, by country

5.6.Automatic Vehicle Identification

5.6.1.Key market trends, growth factors, and opportunities
5.6.2.Market size and forecast, by region
5.6.3.Market analysis, by country

CHAPTER 6:SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY

6.1.Overview
6.2.Short range

6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country

6.3.Long range

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country

CHAPTER 7:SMART FLEET MANAGEMENT MARKET, BY OPERATION

7.1.Overview
7.2.Private

7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country

7.3.Commercial

7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country

CHAPTER 8:SMART FLEET MANAGEMENT MARKET, BY REGION

8.1.Overview
8.2.North America

8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, by mode of transportation
8.2.3.Market size and forecast, by application
8.2.4.Market size and forecast, by connectivity
8.2.5.Market size and forecast, by operation
8.2.6.Market analysis, by country

8.2.6.1.U.S.

8.2.6.1.1.Market size and forecast, by mode of transportation
8.2.6.1.2.Market size and forecast, by application
8.2.6.1.3.Market size and forecast, by connectivity
8.2.6.1.4.Market size and forecast, by operation

8.2.6.2.Canada

8.2.6.2.1.Market size and forecast, by mode of transportation
8.2.6.2.2.Market size and forecast, by application
8.2.6.2.3.Market size and forecast, by connectivity
8.2.6.2.4.Market size and forecast, by operation

8.2.6.3.Mexico

8.2.6.3.1.Market size and forecast, by mode of transportation
8.2.6.3.2.Market size and forecast, by application
8.2.6.3.3.Market size and forecast, by connectivity
8.2.6.3.4.Market size and forecast, by operation

8.3.Europe

8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, by mode of transportation
8.3.3.Market size and forecast, by application
8.3.4.Market size and forecast, by connectivity
8.3.5.Market size and forecast, by operation
8.3.6.Market analysis, by country

8.3.6.1.Germany

8.3.6.1.1.Market size and forecast, by mode of transportation
8.3.6.1.2.Market size and forecast, by application
8.3.6.1.3.Market size and forecast, by connectivity
8.3.6.1.4.Market size and forecast, by operation

8.3.6.2.France

8.3.6.2.1.Market size and forecast, by mode of transportation
8.3.6.2.2.Market size and forecast, by application
8.3.6.2.3.Market size and forecast, by connectivity
8.3.6.2.4.Market size and forecast, by operation

8.3.6.3.Italy

8.3.6.3.1.Market size and forecast, by mode of transportation
8.3.6.3.2.Market size and forecast, by application
8.3.6.3.3.Market size and forecast, by connectivity
8.3.6.3.4.Market size and forecast, by operation

8.3.6.4.UK

8.3.6.4.1.Market size and forecast, by mode of transportation
8.3.6.4.2.Market size and forecast, by application
8.3.6.4.3.Market size and forecast, by connectivity
8.3.6.4.4.Market size and forecast, by operation

8.3.6.5.Rest of Europe

8.3.6.5.1.Market size and forecast, by mode of transportation
8.3.6.5.2.Market size and forecast, by application
8.3.6.5.3.Market size and forecast, by connectivity
8.3.6.5.4.Market size and forecast, by operation

8.4.Asia-Pacific

8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, by mode of transportation
8.4.3.Market size and forecast, by application
8.4.4.Market size and forecast, by connectivity
8.4.5.Market size and forecast, by operation
8.4.6.Market analysis, by country

8.4.6.1.China

8.4.6.1.1.Market size and forecast, by mode of transportation
8.4.6.1.2.Market size and forecast, by application
8.4.6.1.3.Market size and forecast, by connectivity
8.4.6.1.4.Market size and forecast, by operation

8.4.6.2.India

8.4.6.2.1.Market size and forecast, by mode of transportation
8.4.6.2.2.Market size and forecast, by application
8.4.6.2.3.Market size and forecast, by connectivity
8.4.6.2.4.Market size and forecast, by operation

8.4.6.3.Japan

8.4.6.3.1.Market size and forecast, by mode of transportation
8.4.6.3.2.Market size and forecast, by application
8.4.6.3.3.Market size and forecast, by connectivity
8.4.6.3.4.Market size and forecast, by operation

8.4.6.4.South Korea

8.4.6.4.1.Market size and forecast, by mode of transportation
8.4.6.4.2.Market size and forecast, by application
8.4.6.4.3.Market size and forecast, by connectivity
8.4.6.4.4.Market size and forecast, by operation

8.4.6.5.Rest of Asia-Pacific

8.4.6.5.1.Market size and forecast, by mode of transportation
8.4.6.5.2.Market size and forecast, by application
8.4.6.5.3.Market size and forecast, by connectivity
8.4.6.5.4.Market size and forecast, by operation

8.5.LAMEA

8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, by mode of transportation
8.5.3.Market size and forecast, by application
8.5.4.Market size and forecast, by connectivity
8.5.5.Market size and forecast, by operation
8.5.6.Market analysis, by country

8.5.6.1.Latin America

8.5.6.1.1.Market size and forecast, by mode of transportation
8.5.6.1.2.Market size and forecast, by application
8.5.6.1.3.Market size and forecast, by connectivity
8.5.6.1.4.Market size and forecast, by operation

8.5.6.2.Middle East

8.5.6.2.1.Market size and forecast, by mode of transportation
8.5.6.2.2.Market size and forecast, by application
8.5.6.2.3.Market size and forecast, by connectivity
8.5.6.2.4.Market size and forecast, by operation

8.5.6.3.Africa

8.5.6.3.1.Market size and forecast, by mode of transportation
8.5.6.3.2.Market size and forecast, by application
8.5.6.3.3.Market size and forecast, by connectivity
8.5.6.3.4.Market size and forecast, by operation

CHAPTER 9:COMPANY PROFILES

9.1.Continental AG

9.1.1.Company overview
9.1.2.Company snapshot
9.1.3.Operating business segments
9.1.4.Product portfolio
9.1.5.Business performance
9.1.6.Key strategic moves and developments

9.2.Cisco Systems, Inc.

9.2.1.Company overview
9.2.2.Company snapshot
9.2.3.Operating business segments
9.2.4.Business performance
9.2.5.Key strategic moves and developments

9.3.DENSO CORPORATION

9.3.1.Company overview
9.3.2.Company snapshot
9.3.3.Operating business segments
9.3.4.Product portfolio
9.3.5.Business performance
9.3.6.Key strategic moves and developments

9.4.Globecomm Systems Inc. (Speedcast International Limited)

9.4.1.Company overview
9.4.2.Company snapshot
9.4.3.Product portfolio
9.4.4.Business performance
9.4.5.Key strategic moves and developments

9.5.International Business Machines Corporation (IBM)

9.5.1.Company overview
9.5.2.Company snapshot
9.5.3.Operating business segments
9.5.4.Product portfolio
9.5.5.Business performance
9.5.6.Key strategic moves and developments

9.6.Robert Bosch GmbH

9.6.1.Company overview
9.6.2.Company snapshot
9.6.3.Operating business segments
9.6.4.Product portfolio
9.6.5.Business performance
9.6.6.Key strategic moves and developments

9.7.Samsung Electronics Co. Ltd. (Harman International Industries, Inc.)

9.7.1.Company overview
9.7.2.Company snapshot
9.7.3.Operating business segments
9.7.4.Product portfolio
9.7.5.Business performance

9.8.Siemens

9.8.1.Company overview
9.8.2.Company snapshot
9.8.3.Operating business segments
9.8.4.Product portfolio
9.8.5.Business performance
9.8.6.Key strategic moves and developments

9.9.Sierra Wireless

9.9.1.Company overview
9.9.2.Company snapshot
9.9.3.Operating business segments
9.9.4.Product portfolio
9.9.5.Business performance
9.9.6.Key strategic moves and developments

9.10.Tech Mahindra Limited

9.10.1.Company overview
9.10.2.Company snapshot
9.10.3.Product portfolio
9.10.4.Operating business segments
9.10.5.Business performance
9.10.6.Key strategic moves and developments

LIST OF TABLES

TABLE 01.GLOBAL SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 02.SMART FLEET MANAGEMENT MARKET REVENUE FOR ROADWAYS, BY REGION, 20192030 ($MILLION)
TABLE 03.SMART FLEET MANAGEMENT MARKET REVENUE FOR MARINE, BY REGION, 20192030 ($MILLION)
TABLE 04.SMART FLEET MANAGEMENT MARKET REVENUE FOR AIRWAYS, BY REGION, 20192030 ($MILLION)
TABLE 05.SMART FLEET MANAGEMENT MARKET REVENUE FOR RAILWAYS, BY REGION, 20192030 ($MILLION)
TABLE 06.GLOBAL SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 07.SMART FLEET MANAGEMENT MARKET REVENUE FOR TRACKING, BY REGION, 20192030 ($MILLION)
TABLE 08.SMART FLEET MANAGEMENT MARKET REVENUE FOR ADAS, BY REGION, 20192030 ($MILLION)
TABLE 09.SMART FLEET MANAGEMENT MARKET REVENUE FOR OPTIMIZATION, BY REGION, 20192030 ($MILLION)
TABLE 10.SMART FLEET MANAGEMENT MARKET REVENUE FOR FUEL CARDS, BY REGION, 20192030 ($MILLION)
TABLE 11.SMART FLEET MANAGEMENT MARKET REVENUE FOR FUEL AUTOMATIC VEHICLE IDENTIFICATION, BY REGION, 20192030 ($MILLION)
TABLE 12.GLOBAL SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 13.SMART FLEET MANAGEMENT MARKET REVENUE FOR SHORT RANGE, BY REGION, 20192030 ($MILLION)
TABLE 14.SMART FLEET MANAGEMENT MARKET REVENUE FOR LONG RANGE, BY REGION, 20192030 ($MILLION)
TABLE 15.GLOBAL SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 16.SMART FLEET MANAGEMENT MARKET REVENUE FOR PRIVATE, BY REGION, 20192030 ($MILLION)
TABLE 17.SMART FLEET MANAGEMENT MARKET REVENUE FOR COMMERCIAL, BY REGION, 20192030 ($MILLION)
TABLE 18.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 19.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 20.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 21.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 22.U. S. SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 23.U. S. SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 24.U. S. SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 25.U. S. SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 26.CANADA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 27.CANADA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 28.CANADA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 29.CANADA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 30.MEXICO SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 31.MEXICO SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 32.MEXICO SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 33.MEXICO SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 34.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 35.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 36.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 37.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 38.GERMANY SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 39.GERMANY SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 40.GERMANY SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 41.GERMANY SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 42.FRANCE SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 43.FRANCE SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 44.FRANCE SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 45.FRANCE SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 46.ITALY SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 47.ITALY SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 48.ITALY SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 49.ITALY SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 50.U.K. SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 51.U.K. SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 52.U.K. SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 53.U.K. SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 54.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 55.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 56.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 57.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 58.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 59.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 60.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 61.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 62.CHINA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 63.CHINA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 64.CHINA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 65.CHINA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 66.INDIA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 67.INDIA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 68.INDIA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 69.INDIA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 70.JAPAN SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 71.JAPAN SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 72.JAPAN SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 73.JAPAN SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 74.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 75.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 76.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 77.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 78.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 79.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 80.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 81.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 82.LAMEA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 83.LAMEA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 84.LAMEA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 85.LAMEA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 86.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 87.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 88.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 89.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 90.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 91.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 92.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 93.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 94.AFRICA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 20192030 ($MILLION)
TABLE 95.AFRICA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 20192030 ($MILLION)
TABLE 96.AFRICA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 20192030 ($MILLION)
TABLE 97.AFRICA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 20192030 ($MILLION)
TABLE 98.CONTINENTAL AG: COMPANY SNAPSHOT
TABLE 99.CONTINENTAL AG: OPERATING SEGMENTS
TABLE 100.CONTINENTAL AG: PRODUCT PORTFOLIO
TABLE 101.CONTINENTAL AG: KEY STRATEGIC

Major Companies

  • Continental AG
  • Cisco Systems, Inc
  • The DENSO CORPORATION
  • Globecomm Systems Inc. (Speedcast International Limited)
  • International Business Machines Corporation (IBM)
  • Robert Bosch GmbH
  • Samsung Electronics Co. Ltd. (Harman International Industries, Inc.)
  • Siemens
  • Sierra Wireless
  • Tech Mahindra Limited

Major Segmentation

  • Through Application
    • Tracking
    • ADAS
    • Optimization
    • Fuel Cards
    • Automatic Vehicle Identification
  • By Connectivity
    • Short Range
    • Long Range
  • By Way Of Transport
    • Roadways
    • Marine
    • Airways
    • Railways
  • By Operation
    • Private
    • Commercial

Why Choose MWR

Quality Research

Our goal is to provide high-quality data that stimulates growth and creates a win-win situations

Unlimited User Access 

We offer Corporate User license access on all our reports in which you can share the report with your entire team without any restrictions

Free Company Inclusion 

We give you an option to include 3-4 additional company players of your choice in our report without any extra charges

Post Sale Assistance

Unlimited post sales service with an account manager dedicated to making sure that all your needs are met

Covid-19 Impact Analysis

All our research report includes latest Covid-19 Impact and its analysis

Download Free Sample PDF

444 Alaska Avenue

Suite #BAA205 Torrance, CA 90503 USA

+1 424 360 2221

24/7 Customer Support

Download Free Sample PDF