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A02765 | Pages: 318 | Charts: 81 | Tables: 134 |
The global smart fleet management market was valued at $38,245.6 million in 2019, and is projected to reach $98,656.5 million by 2027, registering a CAGR of 15.8%. Asia-Pacific was the highest revenue contributor, with a CAGR of 17.7%. Smart fleet management is an integration of fleet management technologies utilized to manage, maintain, and attain the optimum efficient operations of the fleet. It enables the digital technology application for maintenance and fuel management along with driver safety, telematics, tracking, and smart surveillance. In recent years, use of smart fleet management is rising at a considerable rate as it offers critical alerts, real-time alerts, driver behavior, anti-theft notifications, and safety alerts. Moreover, use of smart fleet management enhances safety, ensures compliance, and reduces costs. Smart fleet operators track the target transportation medium in real-time to reduce idle period and transportation costs, thereby increasing the operational efficiency of fleet management. The purpose of this is to provide effective fleet tracking, real-time monitoring, a dedicated remote server for fleet data, and security features in a single system.
[COVIDIMPACTSTATEMENT]
Factors, such as integration of real-time fleet monitoring systems in vehicles, increase in use of cloud-based technology for smart fleet management solutions, and enhanced vehicle monitoring & fuel management, are expected to drive the growth of the global smart fleet management market. However, price concerns of fleet owners and cyber security concerns are expected to restrain the growth of the market during the forecast period. On the contrary, better driver and vehicle safety, enhancement of business decisions for fleet owners, development of intelligent transportation system, and increase in demand from developing countries are anticipated to offer remunerative opportunities for the expansion of the market in the near future.
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The global smart fleet management market is segmented on the basis of mode of transportation, application, connectivity, operation, and region. Based on mode of transportation, the global smart fleet management market has been categorized into roadways, marine, airways, and railways. Based on application, the market has been divided into tracking, ADAS, optimization, fuel cards, and automatic vehicle identification. Depending on connectivity, it is fragmented into short range and long range. By operation, the market is bifurcated into private and commercial. Region wise, the global smart fleet management market has been studied across North America, Europe, Asia-Pacific, and LAMEA.
[MODEOFTRANSPORTATIONGRAPH]
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The key players operating in the global smart fleet management market are Cisco Systems, Inc., Continental AG, DENSO CORPORATION, Globecomm (Speedcast International Limited.), IBM, Samsung Electronics Co. Ltd., Tech Mahindra Limited, Robert Bosch GmbH, Siemens, and Sierra Wireless.
Fleet operators can track their vehicles in real-time and check if drivers are following the suggested path or if there are diversions. For such fleet management, cloud-based solutions, such as AI, IoT, and big data, are used to collect primary data. For instance, Techwave Consulting Inc. uses sensors that can be embedded into vehicles to monitor high-value goods as they connect to the cloud and transmit the data in real-time. Furthermore, activities that are crucial in smart fleet management include vehicle & driver tracking, asset management, two-way communication, driver safety & time management, rescheduling the delivery task, and others. Moreover, introduction of innovative products and advantages of using smart fleet management services, such as quick access & response, wide-area coverage, and cost reduction, help vendors to increase their productivity and efficiency, thereby escalating the demand for smart fleet management services.
[APPLICATIONGRAPH]
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With increase in demand for connectivity and fleet management solutions, smart devices and applications have become the go-to tools for fleet operators. Tracking assets, driver monitoring, fleet optimization, and other related issues are addressed by cloud management solutions. Furthermore, cloud enables the backup and recovery of data and applications on a secondary storage or infrastructure. In addition, many organizations are deploying different cloud models to overcome the drawbacks of traditional fleet management solutions. For instance, apart from tracking Softweb’s cloud-based solution powered by big data analytics, AI, IoT, and other emerging technologies, smart fleet management-based solutions analyze information of fleet, such as route planning, fuel analytics, and driving patterns, to improve productivity and save fuel. Moreover, AI and machine learning capabilities facilitate autonomous dispatching & routing and empower fleet managers to predict vehicle health and driving habits based on the vehicle’s utilization along with lower maintenance requirements and cost-effectiveness. All these factors significantly contribute to the growth of the market.
[CONNECTIVITYGRAPH]
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Real-time monitoring, geo-fencing, advanced driver assistance systems (ADAS), and diagnostic features are incorporated in railways, marine transport, and automotive due to increase in demand for fleet safety and security in transportation of goods and passengers. According to experts, fleet management is expected to grow rapidly in developing nations. Asia-Pacific has witnessed strong adoption of fleet management solutions, such as installation of global positioning system (GPS) in commercial vehicles, due to regulatory mandates. Tracking and follow-up of fleet and driver are the major tasks of a fleet manager. Additionally, accidents have increased at a considerable rate, which has become a crucial matter to be handled by the fleet owners. Moreover, safety and security of both the driver & vehicle have always been crucial from the perspective of consumers as well as auto manufacturers. In case of accidents, these smart fleet management operated vehicles can send an SOS message along with the coordinates of the driver’s location. In case of theft, owners can track their vehicles instantly using a smartphone app developed for this purpose. Therefore, increase in need for safety and security is expected to boost the growth of the smart fleet management market.
[OPERATIONGRAPH]
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High cost of fleet management systems and other activities majorly affect the return on investment (ROI) of local fleet management businesses as they can barely afford it. As per the statistics given by Expert Market, installation cost for a fleet management system can reach up to $100 for advanced tier system. The additional costs incurred while providing connectivity in the vehicle may act as a restraint for the smart fleet management market. Providing connectivity solution in the vehicle externally incurs additional expenses to the consumers in the form of hardware, connectivity solutions, and telecom service charges. These additional costs for consumers may have a significant impact on the smart fleet management market. In addition, cost of labor, connectivity, and other activities are anticipated to hinder the growth of the local businesses.
The COVID-19 crisis is creating uncertainty in the market by slowing down the supply chains, hampering business growth, and increasing panic among the customer segments. Fleet operators are expected to focus on the working capital management and there are very less chances for heavy investment in advanced technology. However, there are most probable chances of sales momentum for smart fleet management technology, owing to its operational feasibility to attain safety measure along with cost-effectiveness of operations. Market participants of smart fleet management are following certain approaches to manage the fleet operations by slashed fleet budgets, extended equipment lifecycles, decreased staff sizes, and reduced salaries in the short term to overcome the financial downturn. Attributed to the financial downturn, majority of the end users of smart fleet management are inclining toward commercial fleet management despite installing and managing the private fleet. The uncertain demand scenario in the COVID-19 pandemic for the end users and high capital expenditure are expected to spur the inclination toward commercial fleet management. Commercial fleet management enables effective working capital management along with no requirement for additional workforce to manage the fleet operations.
[REGIONGRAPH]
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Key Benefits For Stakeholders
Key Market Segments
Key Market Players
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.Porter’s 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, 2019–2027 ($MILLION)
TABLE 02.SMART FLEET MANAGEMENT MARKET REVENUE FOR ROADWAYS, BY REGION, 2019–2027 ($MILLION)
TABLE 03.SMART FLEET MANAGEMENT MARKET REVENUE FOR MARINE, BY REGION, 2019–2027 ($MILLION)
TABLE 04.SMART FLEET MANAGEMENT MARKET REVENUE FOR AIRWAYS, BY REGION, 2019–2027 ($MILLION)
TABLE 05.SMART FLEET MANAGEMENT MARKET REVENUE FOR RAILWAYS, BY REGION, 2019–2027 ($MILLION)
TABLE 06.GLOBAL SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 07.SMART FLEET MANAGEMENT MARKET REVENUE FOR TRACKING, BY REGION, 2019–2027 ($MILLION)
TABLE 08.SMART FLEET MANAGEMENT MARKET REVENUE FOR ADAS, BY REGION, 2019–2027 ($MILLION)
TABLE 09.SMART FLEET MANAGEMENT MARKET REVENUE FOR OPTIMIZATION, BY REGION, 2019–2027 ($MILLION)
TABLE 10.SMART FLEET MANAGEMENT MARKET REVENUE FOR FUEL CARDS, BY REGION, 2019–2027 ($MILLION)
TABLE 11.SMART FLEET MANAGEMENT MARKET REVENUE FOR FUEL AUTOMATIC VEHICLE IDENTIFICATION, BY REGION, 2019–2027 ($MILLION)
TABLE 12.GLOBAL SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 13.SMART FLEET MANAGEMENT MARKET REVENUE FOR SHORT RANGE, BY REGION, 2019–2027 ($MILLION)
TABLE 14.SMART FLEET MANAGEMENT MARKET REVENUE FOR LONG RANGE, BY REGION, 2019–2027 ($MILLION)
TABLE 15.GLOBAL SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 16.SMART FLEET MANAGEMENT MARKET REVENUE FOR PRIVATE, BY REGION, 2019–2027 ($MILLION)
TABLE 17.SMART FLEET MANAGEMENT MARKET REVENUE FOR COMMERCIAL, BY REGION, 2019–2027 ($MILLION)
TABLE 18.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 19.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 20.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 21.NORTH AMERICAN SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 22.U. S. SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 23.U. S. SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 24.U. S. SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 25.U. S. SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 26.CANADA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 27.CANADA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 28.CANADA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 29.CANADA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 30.MEXICO SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 31.MEXICO SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 32.MEXICO SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 33.MEXICO SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 34.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 35.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 36.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 37.EUROPEAN SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 38.GERMANY SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 39.GERMANY SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 40.GERMANY SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 41.GERMANY SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 42.FRANCE SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 43.FRANCE SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 44.FRANCE SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 45.FRANCE SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 46.ITALY SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 47.ITALY SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 48.ITALY SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 49.ITALY SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 50.U.K. SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 51.U.K. SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 52.U.K. SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 53.U.K. SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 54.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 55.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 56.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 57.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 58.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 59.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 60.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 61.ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 62.CHINA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 63.CHINA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 64.CHINA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 65.CHINA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 66.INDIA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 67.INDIA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 68.INDIA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 69.INDIA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 70.JAPAN SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 71.JAPAN SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 72.JAPAN SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 73.JAPAN SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 74.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 75.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 76.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 77.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 78.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 79.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 80.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 81.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 82.LAMEA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 83.LAMEA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 84.LAMEA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 85.LAMEA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 86.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 87.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 88.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 89.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 90.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 91.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 92.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 93.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($MILLION)
TABLE 94.AFRICA SMART FLEET MANAGEMENT MARKET, BY MODE OF TRANSPORTATION, 2019–2027 ($MILLION)
TABLE 95.AFRICA SMART FLEET MANAGEMENT MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 96.AFRICA SMART FLEET MANAGEMENT MARKET, BY CONNECTIVITY, 2019–2027 ($MILLION)
TABLE 97.AFRICA SMART FLEET MANAGEMENT MARKET, BY OPERATION, 2019–2027 ($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 MOVES AND DEVELOPMENTS
TABLE 102.CISCO SYSTEMS, INC.: COMPANY SNAPSHOT
TABLE 103.CISCO SYSTEMS, INC.: OPERATING SEGMENTS
TABLE 104.CISCO SYSTEMS, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 105.DENSO CORPORATION: COMPANY SNAPSHOT
TABLE 106.DENSO CORPORATION: OPERATING SEGMENTS
TABLE 107.DENSO CORPORATION: PRODUCT PORTFOLIO
TABLE 108.DENSO CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 109.GLOBECOMM SYSTEMS INC.: COMPANY SNAPSHOT
TABLE 110.GLOBECOMM SYSTEMS INC: PRODUCT PORTFOLIO
TABLE 111.GLOBECOMM SYSTEMS INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 112.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 113.IBM: OPERATING SEGMENTS
TABLE 114.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 115.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 116.ROBERT BOSCH GMBH: COMPANY SNAPSHOT
TABLE 117.ROBERT BOSCH GMBH: OPERATING SEGMENTS
TABLE 118.ROBERT BOSCH: PRODUCT PORTFOLIO
TABLE 119.ROBERT BOSCH GMBH: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 120.SAMSUNG ELECTRONICS CO. LTD.: COMPANY SNAPSHOT
TABLE 121.SAMSUNG ELECTRONICS CO. LTD.: OPERATING SEGMENTS
TABLE 122.PRODUCT PORTFOLIO
TABLE 123.SIEMENS: COMPANY SNAPSHOT
TABLE 124.SIEMENS: OPERATING SEGMENTS
TABLE 125.SIEMENS: PRODUCT PORTFOLIO
TABLE 126.SIEMENS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 127.SIERRA WIRELESS: COMPANY SNAPSHOT
TABLE 128.SIERRA WIRELESS: OPERATING SEGMENTS
TABLE 129.SIERRA WIRELESS: PRODUCT PORTFOLIO
TABLE 130.SIERRA WIRELESS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 131.TECH MAHINDRA LIMITED: COMPANY SNAPSHOT
TABLE 132.TECH MAHINDRA LIMITED: PRODUCT PORTFOLIO
TABLE 133.TECH MAHINDRA LIMITED: OPERATING SEGMENTS
TABLE 134.TECH MAHINDRA LIMITED: KEY STRATEGIC MOVES AND DEVELOPMENTS
LIST OF FIGURES
FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.EXECUTIVE SUMMARY
FIGURE 03.EXECUTIVE SUMMARY
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.TOP WINNING STRATEGIES, BY YEAR, 2017–2020*
FIGURE 07.TOP WINNING STRATEGIES, BY YEAR, 2017–2020*
FIGURE 08.TOP WINNING STRATEGIES, BY COMPANY, 2017–2020*
FIGURE 09.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 10.HIGH-TO-MODERATE THREAT OF NEW ENTRANTS
FIGURE 11.MODERATE-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 12.MODERATE-TO-HIGH INTENSITY OF RIVALRY
FIGURE 13.MODERATE BARGAINING POWER OF BUYERS
FIGURE 14.MARKET SHARE ANALYSIS, 2019
FIGURE 15.GLOBAL SMART FLEET MANAGEMENT MARKET SHARE, BY MODE OF TRANSPORTATION, 2019–2027 (%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR ROADWAYS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR MARINE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR AIRWAYS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR RAILWAYS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 20.GLOBAL SMART FLEET MANAGEMENT MARKET SHARE, BY APPLICATION, 2019–2027 (%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR TRACKING, BY COUNTRY, 2019 & 2027 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR ADAS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR OPTIMIZATION, BY COUNTRY, 2019 & 2027 (%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR FUEL CARDS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR AUTOMATIC VEHICLE IDENTIFICATION, BY COUNTRY, 2019 & 2027 (%)
FIGURE 26.GLOBAL SMART FLEET MANAGEMENT MARKET SHARE, BY CONNECTIVITY, 2019–2027 (%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR SHORT RANGE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR LONG RANGE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 29.GLOBAL SMART FLEET MANAGEMENT MARKET SHARE, BY OPERATION, 2019–2027 (%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR PRIVATE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET FOR COMMERCIAL, BY COUNTRY, 2019 & 2027 (%)
FIGURE 32.SMART FLEET MANAGEMENT MARKET, BY REGION, 2019–2027 (%)
FIGURE 33.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET, BY COUNTRY, 2019–2027 (%)
FIGURE 34.U. S. SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 35.CANADA SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 36.MEXICO SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 37.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET, BY COUNTRY, 2019–2027 (%)
FIGURE 38.GERMANY SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 39.FRANCE SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 40.ITALY SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 41.U.K. SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 42.REST OF EUROPE SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 43.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET, BY COUNTRY, 2019–2027 (%)
FIGURE 44.CHINA SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 45.INDIA SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 46.JAPAN SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 47.SOUTH KOREA SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 48.REST OF ASIA-PACIFIC SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 49.COMPARATIVE SHARE ANALYSIS OF SMART FLEET MANAGEMENT MARKET, BY COUNTRY, 2019–2027 (%)
FIGURE 50.LATIN AMERICA SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 51.MIDDLE EAST SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 52.AFRICA SMART FLEET MANAGEMENT MARKET, 2019–2027 ($MILLION)
FIGURE 53.CONTINENTAL AG: REVENUE, 2017–2019 ($MILLION)
FIGURE 54.CONTINENTAL AG: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 55.CONTINENTAL AG: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 56.CISCO SYSTEMS, INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 57.CISCO SYSTEMS, INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 58.CISCO SYSTEMS, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 59.DENSO CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 60.DENSO CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 61.DENSO CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 62.GLOBECOMM SYSTEMS INC.: REVENUE, 2016–2019 ($MILLION)
FIGURE 63.GLOBECOMM SYSTEMS INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 64.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 65.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 66.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 67.ROBERT BOSCH GMBH: REVENUE, 2017–2019 ($MILLION)
FIGURE 68.ROBERT BOSCH GMBH: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 69.ROBERT BOSCH GMBH: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 70.SAMSUNG ELECTRONICS CO. LTD.: REVENUE, 2017–2019 ($MILLION)
FIGURE 71.SAMSUNG ELECTRONICS CO. LTD.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 72.SAMSUNG ELECTRONICS CO. LTD.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 73.SIEMENS: REVENUE, 2017–2019 ($MILLION)
FIGURE 74.SIEMENS: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 75.SIEMENS: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 76.SIERRA WIRELESS: REVENUE, 2017–2019 ($MILLION)
FIGURE 77.SIERRA WIRELESS: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 78.SIERRA WIRELESS: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 79.TECH MAHINDRA LIMITED: REVENUE, 2017–2019 ($MILLION)
FIGURE 80.TECH MAHINDRA LIMITED: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 81.TECH MAHINDRA LIMITED: REVENUE SHARE BY REGION, 2019 (%)
