Global Vehicle Routing and Scheduling
Global Vehicle Routing and Scheduling

Vehicle Routing and Scheduling Comprehensive Study by Type (Single Depot, Multi Depot, Integrated Fleets), Application (Retail, Distribution & Services, Others), Vehicle (Passenger Car, Commercial Vehicle), Component (GPS, Beidou System) Players and Region - Global Market Outlook to 2024

Vehicle Routing and Scheduling Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024  

Apr 2019 Edition 224 Pages 200 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Vehicle Routing and Scheduling Market Overview:
Selecting the best paths for the transport mode to follow to reduce travel time or distance reduces transportation costs and improves customer service. Vehicle routing and scheduling system enables transporters to plan and enhance their daily vehicle routes which allows them to reduce both fleet size and fuel costs. The scheduling of customer service and the routing of service vehicles are the essential part of many service operations. For some services, such as school buses, public health nursing, and many installation or repair businesses, service delivery is difficult to the performance of the service. Some of the key players profiled in the study are SAP SE (Germany), Oracle Corporation (United States), Verizon Connect (United States), Omnitracs (United States), Trimble (United States), Paragon (United Kingdom), The Descartes Systems Group Inc. (Canada), BluJay Solutions (United States), Manhattan Associates (United States) and Ortec (Netherlands).

On the basis of geography, the market of Vehicle Routing and Scheduling has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Vehicle, the sub-segment i.e. Passenger Car will boost the Vehicle Routing and Scheduling market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. GPS will boost the Vehicle Routing and Scheduling market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Necessity of Operational Competency in Route Management
  • Upsurge in Demand for Online Cab Booking

Market Trend
  • Rising Preference for Improved Customer Service

Restraints
  • Lack of IT Infrastructure in Developing Nations

Opportunities
  • Technological Advancements Such As Usage of Internet of Things (IoT)

Challenges
  • Driver Safety and Productivity Disturbing Vehicle Uptime


On February 10, 2019 Tata Consultancy Services (TCS), a leading global IT services, consulting and business solutions organization, announced a global partnership with JDA Software, which is the leading provider of end-to-end supply chain and retail solutions, to build next-generation cognitive solutions, and offer consulting and system integration services around digital technologies, to optimize supply chains for customers across the world.


Target Audience:
Vehicle Routing and Scheduling Solution Provider, Software Solution Providers, Route Management Service Providers, Retail Industry, Governmental Bodies and Research Firms

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Vehicle Routing and Scheduling market on the basis of product [Single Depot, Multi Depot and Integrated Fleets] , application [Retail, Distribution & Services and Others], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Vehicle Routing and Scheduling market with respect to major geographies, namely, South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico)
• To strategically profile the key players and analyzing their market shares and core competencies in the Vehicle Routing and Scheduling industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are JDA Software (United States), Mercury Gate International (United States), Cheetah Software Systems, Inc. (United States), WorkWave (United States) and Carrier Logistics (United States).
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Vehicle Routing and Scheduling market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.
Report Objectives / Segmentation Covered
By Type
  • Single Depot
  • Multi Depot
  • Integrated Fleets
By Application
  • Retail
  • Distribution & Services
  • Others
By Vehicle
  • Passenger Car
  • Commercial Vehicle

By Component
  • GPS
  • Beidou System

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Necessity of Operational Competency in Route Management
      • 3.2.2. Upsurge in Demand for Online Cab Booking
    • 3.3. Market Challenges
      • 3.3.1. Driver Safety and Productivity Disturbing Vehicle Uptime
    • 3.4. Market Trends
      • 3.4.1. Rising Preference for Improved Customer Service
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Vehicle Routing and Scheduling, by Type, Application, Vehicle, Component and Region (value and price ) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Vehicle Routing and Scheduling (Value)
      • 5.2.1. Global Vehicle Routing and Scheduling by: Type (Value)
        • 5.2.1.1. Single Depot
        • 5.2.1.2. Multi Depot
        • 5.2.1.3. Integrated Fleets
      • 5.2.2. Global Vehicle Routing and Scheduling by: Application (Value)
        • 5.2.2.1. Retail
        • 5.2.2.2. Distribution & Services
        • 5.2.2.3. Others
      • 5.2.3. Global Vehicle Routing and Scheduling by: Vehicle (Value)
        • 5.2.3.1. Passenger Car
        • 5.2.3.2. Commercial Vehicle
      • 5.2.4. Global Vehicle Routing and Scheduling by: Component (Value)
        • 5.2.4.1. GPS
        • 5.2.4.2. Beidou System
      • 5.2.5. Global Vehicle Routing and Scheduling Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Vehicle Routing and Scheduling (Price)
      • 5.3.1. Global Vehicle Routing and Scheduling by: Type (Price)
  • 6. Vehicle Routing and Scheduling: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. SAP SE (Germany)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Oracle Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Verizon Connect (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Omnitracs (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Trimble (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Paragon (United Kingdom)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. The Descartes Systems Group Inc. (Canada)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. BluJay Solutions (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Manhattan Associates (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Ortec (Netherlands)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Vehicle Routing and Scheduling Sale, by Type, Application, Vehicle, Component and Region (value and price ) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Vehicle Routing and Scheduling (Value)
      • 7.2.1. Global Vehicle Routing and Scheduling by: Type (Value)
        • 7.2.1.1. Single Depot
        • 7.2.1.2. Multi Depot
        • 7.2.1.3. Integrated Fleets
      • 7.2.2. Global Vehicle Routing and Scheduling by: Application (Value)
        • 7.2.2.1. Retail
        • 7.2.2.2. Distribution & Services
        • 7.2.2.3. Others
      • 7.2.3. Global Vehicle Routing and Scheduling by: Vehicle (Value)
        • 7.2.3.1. Passenger Car
        • 7.2.3.2. Commercial Vehicle
      • 7.2.4. Global Vehicle Routing and Scheduling by: Component (Value)
        • 7.2.4.1. GPS
        • 7.2.4.2. Beidou System
      • 7.2.5. Global Vehicle Routing and Scheduling Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Vehicle Routing and Scheduling (Price)
      • 7.3.1. Global Vehicle Routing and Scheduling by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Vehicle Routing and Scheduling: by Type(USD Million)
  • Table 2. Vehicle Routing and Scheduling Single Depot , by Region USD Million (2013-2018)
  • Table 3. Vehicle Routing and Scheduling Multi Depot , by Region USD Million (2013-2018)
  • Table 4. Vehicle Routing and Scheduling Integrated Fleets , by Region USD Million (2013-2018)
  • Table 5. Vehicle Routing and Scheduling: by Application(USD Million)
  • Table 6. Vehicle Routing and Scheduling Retail , by Region USD Million (2013-2018)
  • Table 7. Vehicle Routing and Scheduling Distribution & Services , by Region USD Million (2013-2018)
  • Table 8. Vehicle Routing and Scheduling Others , by Region USD Million (2013-2018)
  • Table 9. Vehicle Routing and Scheduling: by Vehicle(USD Million)
  • Table 10. Vehicle Routing and Scheduling Passenger Car , by Region USD Million (2013-2018)
  • Table 11. Vehicle Routing and Scheduling Commercial Vehicle , by Region USD Million (2013-2018)
  • Table 12. Vehicle Routing and Scheduling: by Component(USD Million)
  • Table 13. Vehicle Routing and Scheduling GPS , by Region USD Million (2013-2018)
  • Table 14. Vehicle Routing and Scheduling Beidou System , by Region USD Million (2013-2018)
  • Table 15. South America Vehicle Routing and Scheduling, by Country USD Million (2013-2018)
  • Table 16. South America Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 17. South America Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 18. South America Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 19. South America Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 20. Brazil Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 21. Brazil Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 22. Brazil Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 23. Brazil Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 24. Argentina Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 25. Argentina Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 26. Argentina Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 27. Argentina Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 28. Rest of South America Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 29. Rest of South America Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 30. Rest of South America Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 31. Rest of South America Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 32. Asia Pacific Vehicle Routing and Scheduling, by Country USD Million (2013-2018)
  • Table 33. Asia Pacific Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 34. Asia Pacific Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 35. Asia Pacific Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 36. Asia Pacific Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 37. China Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 38. China Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 39. China Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 40. China Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 41. Japan Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 42. Japan Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 43. Japan Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 44. Japan Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 45. India Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 46. India Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 47. India Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 48. India Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 49. South Korea Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 50. South Korea Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 51. South Korea Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 52. South Korea Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 53. Taiwan Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 54. Taiwan Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 55. Taiwan Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 56. Taiwan Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 57. Australia Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 58. Australia Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 59. Australia Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 60. Australia Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 61. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 62. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 63. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 64. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 65. Europe Vehicle Routing and Scheduling, by Country USD Million (2013-2018)
  • Table 66. Europe Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 67. Europe Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 68. Europe Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 69. Europe Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 70. Germany Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 71. Germany Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 72. Germany Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 73. Germany Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 74. France Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 75. France Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 76. France Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 77. France Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 78. Italy Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 79. Italy Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 80. Italy Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 81. Italy Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 82. United Kingdom Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 83. United Kingdom Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 84. United Kingdom Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 85. United Kingdom Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 86. Netherlands Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 87. Netherlands Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 88. Netherlands Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 89. Netherlands Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 90. Rest of Europe Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 91. Rest of Europe Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 92. Rest of Europe Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 93. Rest of Europe Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 94. MEA Vehicle Routing and Scheduling, by Country USD Million (2013-2018)
  • Table 95. MEA Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 96. MEA Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 97. MEA Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 98. MEA Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 99. Middle East Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 100. Middle East Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 101. Middle East Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 102. Middle East Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 103. Africa Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 104. Africa Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 105. Africa Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 106. Africa Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 107. North America Vehicle Routing and Scheduling, by Country USD Million (2013-2018)
  • Table 108. North America Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 109. North America Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 110. North America Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 111. North America Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 112. United States Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 113. United States Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 114. United States Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 115. United States Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 116. Canada Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 117. Canada Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 118. Canada Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 119. Canada Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 120. Mexico Vehicle Routing and Scheduling, by Type USD Million (2013-2018)
  • Table 121. Mexico Vehicle Routing and Scheduling, by Application USD Million (2013-2018)
  • Table 122. Mexico Vehicle Routing and Scheduling, by Vehicle USD Million (2013-2018)
  • Table 123. Mexico Vehicle Routing and Scheduling, by Component USD Million (2013-2018)
  • Table 124. Vehicle Routing and Scheduling: by Type(USD/Units)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Vehicle Routing and Scheduling: by Type(USD Million)
  • Table 136. Vehicle Routing and Scheduling Single Depot , by Region USD Million (2019-2024)
  • Table 137. Vehicle Routing and Scheduling Multi Depot , by Region USD Million (2019-2024)
  • Table 138. Vehicle Routing and Scheduling Integrated Fleets , by Region USD Million (2019-2024)
  • Table 139. Vehicle Routing and Scheduling: by Application(USD Million)
  • Table 140. Vehicle Routing and Scheduling Retail , by Region USD Million (2019-2024)
  • Table 141. Vehicle Routing and Scheduling Distribution & Services , by Region USD Million (2019-2024)
  • Table 142. Vehicle Routing and Scheduling Others , by Region USD Million (2019-2024)
  • Table 143. Vehicle Routing and Scheduling: by Vehicle(USD Million)
  • Table 144. Vehicle Routing and Scheduling Passenger Car , by Region USD Million (2019-2024)
  • Table 145. Vehicle Routing and Scheduling Commercial Vehicle , by Region USD Million (2019-2024)
  • Table 146. Vehicle Routing and Scheduling: by Component(USD Million)
  • Table 147. Vehicle Routing and Scheduling GPS , by Region USD Million (2019-2024)
  • Table 148. Vehicle Routing and Scheduling Beidou System , by Region USD Million (2019-2024)
  • Table 149. South America Vehicle Routing and Scheduling, by Country USD Million (2019-2024)
  • Table 150. South America Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 151. South America Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 152. South America Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 153. South America Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 154. Brazil Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 155. Brazil Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 156. Brazil Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 157. Brazil Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 158. Argentina Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 159. Argentina Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 160. Argentina Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 161. Argentina Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 162. Rest of South America Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 163. Rest of South America Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 164. Rest of South America Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 165. Rest of South America Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 166. Asia Pacific Vehicle Routing and Scheduling, by Country USD Million (2019-2024)
  • Table 167. Asia Pacific Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 168. Asia Pacific Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 169. Asia Pacific Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 170. Asia Pacific Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 171. China Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 172. China Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 173. China Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 174. China Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 175. Japan Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 176. Japan Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 177. Japan Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 178. Japan Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 179. India Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 180. India Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 181. India Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 182. India Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 183. South Korea Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 184. South Korea Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 185. South Korea Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 186. South Korea Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 187. Taiwan Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 188. Taiwan Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 189. Taiwan Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 190. Taiwan Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 191. Australia Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 192. Australia Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 193. Australia Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 194. Australia Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 195. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 196. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 197. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 198. Rest of Asia-Pacific Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 199. Europe Vehicle Routing and Scheduling, by Country USD Million (2019-2024)
  • Table 200. Europe Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 201. Europe Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 202. Europe Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 203. Europe Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 204. Germany Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 205. Germany Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 206. Germany Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 207. Germany Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 208. France Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 209. France Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 210. France Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 211. France Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 212. Italy Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 213. Italy Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 214. Italy Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 215. Italy Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 216. United Kingdom Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 217. United Kingdom Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 218. United Kingdom Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 219. United Kingdom Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 220. Netherlands Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 221. Netherlands Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 222. Netherlands Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 223. Netherlands Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 224. Rest of Europe Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 225. Rest of Europe Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 226. Rest of Europe Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 227. Rest of Europe Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 228. MEA Vehicle Routing and Scheduling, by Country USD Million (2019-2024)
  • Table 229. MEA Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 230. MEA Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 231. MEA Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 232. MEA Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 233. Middle East Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 234. Middle East Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 235. Middle East Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 236. Middle East Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 237. Africa Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 238. Africa Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 239. Africa Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 240. Africa Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 241. North America Vehicle Routing and Scheduling, by Country USD Million (2019-2024)
  • Table 242. North America Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 243. North America Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 244. North America Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 245. North America Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 246. United States Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 247. United States Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 248. United States Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 249. United States Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 250. Canada Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 251. Canada Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 252. Canada Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 253. Canada Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 254. Mexico Vehicle Routing and Scheduling, by Type USD Million (2019-2024)
  • Table 255. Mexico Vehicle Routing and Scheduling, by Application USD Million (2019-2024)
  • Table 256. Mexico Vehicle Routing and Scheduling, by Vehicle USD Million (2019-2024)
  • Table 257. Mexico Vehicle Routing and Scheduling, by Component USD Million (2019-2024)
  • Table 258. Vehicle Routing and Scheduling: by Type(USD/Units)
  • Table 259. Research Programs/Design for This Report
  • Table 260. Key Data Information from Secondary Sources
  • Table 261. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Vehicle Routing and Scheduling: by Type USD Million (2013-2018)
  • Figure 5. Global Vehicle Routing and Scheduling: by Application USD Million (2013-2018)
  • Figure 6. Global Vehicle Routing and Scheduling: by Vehicle USD Million (2013-2018)
  • Figure 7. Global Vehicle Routing and Scheduling: by Component USD Million (2013-2018)
  • Figure 8. South America Vehicle Routing and Scheduling Share (%), by Country
  • Figure 9. Asia Pacific Vehicle Routing and Scheduling Share (%), by Country
  • Figure 10. Europe Vehicle Routing and Scheduling Share (%), by Country
  • Figure 11. MEA Vehicle Routing and Scheduling Share (%), by Country
  • Figure 12. North America Vehicle Routing and Scheduling Share (%), by Country
  • Figure 13. Global Vehicle Routing and Scheduling: by Type USD/Units (2013-2018)
  • Figure 14. Global Vehicle Routing and Scheduling share by Players 2018 (%)
  • Figure 15. Global Vehicle Routing and Scheduling share by Players (Top 3) 2018(%)
  • Figure 16. Global Vehicle Routing and Scheduling share by Players (Top 5) 2018(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 19. SAP SE (Germany) Revenue: by Geography 2018
  • Figure 20. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 21. Oracle Corporation (United States) Revenue: by Geography 2018
  • Figure 22. Verizon Connect (United States) Revenue, Net Income and Gross profit
  • Figure 23. Verizon Connect (United States) Revenue: by Geography 2018
  • Figure 24. Omnitracs (United States) Revenue, Net Income and Gross profit
  • Figure 25. Omnitracs (United States) Revenue: by Geography 2018
  • Figure 26. Trimble (United States) Revenue, Net Income and Gross profit
  • Figure 27. Trimble (United States) Revenue: by Geography 2018
  • Figure 28. Paragon (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 29. Paragon (United Kingdom) Revenue: by Geography 2018
  • Figure 30. The Descartes Systems Group Inc. (Canada) Revenue, Net Income and Gross profit
  • Figure 31. The Descartes Systems Group Inc. (Canada) Revenue: by Geography 2018
  • Figure 32. BluJay Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 33. BluJay Solutions (United States) Revenue: by Geography 2018
  • Figure 34. Manhattan Associates (United States) Revenue, Net Income and Gross profit
  • Figure 35. Manhattan Associates (United States) Revenue: by Geography 2018
  • Figure 36. Ortec (Netherlands) Revenue, Net Income and Gross profit
  • Figure 37. Ortec (Netherlands) Revenue: by Geography 2018
  • Figure 38. Global Vehicle Routing and Scheduling: by Type USD Million (2019-2024)
  • Figure 39. Global Vehicle Routing and Scheduling: by Application USD Million (2019-2024)
  • Figure 40. Global Vehicle Routing and Scheduling: by Vehicle USD Million (2019-2024)
  • Figure 41. Global Vehicle Routing and Scheduling: by Component USD Million (2019-2024)
  • Figure 42. South America Vehicle Routing and Scheduling Share (%), by Country
  • Figure 43. Asia Pacific Vehicle Routing and Scheduling Share (%), by Country
  • Figure 44. Europe Vehicle Routing and Scheduling Share (%), by Country
  • Figure 45. MEA Vehicle Routing and Scheduling Share (%), by Country
  • Figure 46. North America Vehicle Routing and Scheduling Share (%), by Country
  • Figure 47. Global Vehicle Routing and Scheduling: by Type USD/Units (2019-2024)
Some of the key companies/manufacturers profiled in the report
  • SAP SE (Germany)
  • Oracle Corporation (United States)
  • Verizon Connect (United States)
  • Omnitracs (United States)
  • Trimble (United States)
  • Paragon (United Kingdom)
  • The Descartes Systems Group Inc. (Canada)
  • BluJay Solutions (United States)
  • Manhattan Associates (United States)
  • Ortec (Netherlands)
Additional players considered in the study are as follows:
JDA Software (United States) , Mercury Gate International (United States) , Cheetah Software Systems, Inc. (United States) , WorkWave (United States) , Carrier Logistics (United States)
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