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Market Research Report
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1076190

Smart Traffic Management: Use Cases, Regional Analysis & Market Forecasts 2022-2027

Published: | Juniper Research Ltd | Delivery time: 1-2 business days

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Smart Traffic Management: Use Cases, Regional Analysis & Market Forecasts 2022-2027
Published: May 16, 2022
Juniper Research Ltd
Delivery time: 1-2 business days
  • Description
  • Table of Contents

Juniper Research's “Smart Traffic Management” report provides a detailed evaluation of the market, including the adoption of smart traffic management systems within both developing markets and established markets.

In addition, this report covers market opportunities; providing strategic insights into the technologies and key drivers that are pushing the space forward, and the role of 15 leading vendors across the market.

The research suite also contains a detailed dataset; providing forecasts for 60 countries across a number of different metrics, including the number of smart intersections, number of smart parking spaces, emissions' cost saving and congestion cost savings.

This research suite comprises of:

  • Strategy & Forecasts (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 months access to harvest Online Data Platform

KEY FEATURES

  • Market Dynamics: A strategic analysis of the major drivers, challenges, and innovations shaping the adoption and development of smart traffic management technologies, including the following:
    • Technological innovations that are enhancing the value
    • Future strategic direction and market outlook
    • Key issues cities and transportation agencies must address before implementing systems
  • Regional Analysis: An analysis of the market status and factors driving or restricting growth, as well as providing detailed insight into the prospects for smart traffic management adoption across our 8 key regions, and 12 country-level markets. This covers the state of adoption, regulatory concerns and the future outlook for each market.
  • Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 15 vendors:
    • Cleverciti
    • Commsignia
    • Cubic Corporation
    • Econolite
    • Efkon GmbH
    • Iteris
    • Kapsch TrafficCom
    • Miovision
    • Nedap
    • Q-Free
    • Rapid Flow Technologies
    • Sensys Networks
    • Smart Parking
    • Telegra
    • Verra Mobility
  • Benchmark Industry Forecasts: including total number of smart intersections, total annual spend on smart intersection hardware and software, total number of smart parking spaces, total annual spend on smart parking hardware and software, total annual spend on smart traffic management hardware and software, total congestion cost savings, total emissions cost savings. This includes sizing for markets up to 2027; split by our 8 key regions and by the 60 countries listed below:
    • Algeria
    • Argentina
    • Australia
    • Austria
    • Bangladesh
    • Belgium
    • Brazil
    • Canada
    • Chile
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Ecuador
    • Egypt
    • Finland
    • France
    • Germany
    • Greece
    • Hong Kong
    • Hungary
    • India
    • Indonesia
    • Ireland
    • Israel
    • Italy
    • Japan
    • Kenya
    • Kuwait
    • Malaysia
    • Mexico
    • Nepal
    • Netherlands
    • New Zealand
    • Nigeria
    • Norway
    • Pakistan
    • Peru
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Switzerland
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • Uruguay
    • US
    • Vietnam

KEY QUESTIONS ANSWERED

  • 1. What are the biggest opportunities for smart traffic management vendors and suppliers?
  • 2. What are the major factors driving the adoption of smart traffic management systems by cities?
  • 3. What technologies are key to successfully deploying smart traffic management systems?
  • 4. Who are the key vendors and players in the space?
  • 5. What is the future outlook for the smart traffic management space?

COMPANIES REFERENCED

  • Included in the Juniper Research Competitor Leaderboard: Cleverciti, Commsignia, Cubic Corporation, Econolite, Efkon GmbH, Iteris, Kapsch TrafficCom, Miovision, Nedap, Q-Free, Rapid Flow, Sensys Networks, Smart Parking, Telegra, Verra Mobility.
  • Mentioned: 5GAA, ADPS (Alliance for Parking Data Standards), American Public Works Association, ASCN (Asean-Japan Smart City Network), Audi, Australian Securities Exchange, AutoPAss, Autotalks, BAM infra Verkeerstechniek, Bosch, California State Association of Counties, CAM Testbed , Cardiff Council, Carnegie Mellon University, CCSA, CEN, China Mobile, China Telecom, China Unicom, Cisco, City of Adelaide, City of Beverly Hills, City of Manhattan Beach, City of Pasadena, City of Pittsburgh, City of Vienna, City of Westminster, Commsignia, C-Roads Hungary, CT Group, CVEDIA, EnBW Venture, Ertico, Escrypt, Etisalat, ETSI, FAAC, Florida Department of Transportation, Ford, Google, GSMA, Harman, IEEE, IMT-2020, Incinity, IPSCD (Imagine Panaji Smart City Development Ltd), ISO, ITE International, ITIF (Information Technology and Innovation Foundation), ITS America, Kane County Department of Transportation, Karma Ventures, KFW, Korea Telecom, LG Electronics, Louisiana Highway, McCain, McRock Capital, Metric Engineering, MH Corbin, National Science Foundation, Natural Resources Canada, Nokia, NXP, OMNIAIR Consortium, Parsons, Peripass, Phaenon, Phoenix Pacific Inc, Qualcomm, Quectel, Rheinenergie, Samsung, San Bernardino County Transportation Authority, Savari, Siemens , Southwest Traffic Committed to Excellence, SPDG Ventures, Spirent, ST&D Apeldoorn B.V., Stinson, STRABAG, Streetline, Syngenta, TAPCO, Technolution, Telekom, Telus Ventures, The Westly Group, Traffop, Transport for London, TRL, Turkey's Transport and Infrastructure Minister, Tyco-CEM Systems, UK Prosperity Fund, Uplus, US Department of Transportation, Vegamot AS, Via Verde, Virinia Tech Transportation institute, Vodafone, Wejo, West Virginia Division of Highways, WMATA, Wyndham City, Zenzic.

DATA & INTERACTIVE FORECAST

Juniper Research's “Smart Traffic Management” forecast suite includes:

  • Forecast splits for 8 key regions, as well as 60 country-level data splits for:
    • Algeria
    • Argentina
    • Australia
    • Austria
    • Bangladesh
    • Belgium
    • Brazil
    • Canada
    • Chile
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Ecuador
    • Egypt
    • Finland
    • France
    • Germany
    • Greece
    • Hong Kong
    • Hungary
    • India
    • Indonesia
    • Ireland
    • Israel
    • Italy
    • Japan
    • Kenya
    • Kuwait
    • Malaysia
    • Mexico
    • Nepal
    • Netherlands
    • New Zealand
    • Nigeria
    • Norway
    • Pakistan
    • Peru
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Switzerland
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • Uruguay
    • US
    • Vietnam
  • Metrics including forecasts, including total number of smart intersections, total annual spend on smart intersection hardware and software, total number of smart parking spaces, total annual spend on smart parking hardware and software, total annual spend on hardware and software, total congestion cost savings, total emissions' cost savings.
  • Interactive Scenario tool allowing users to manipulate Juniper Research's data for four different metrics.
  • Access to the full set of forecast data of 61 tables and 27,800 datapoints.

Table of Contents

1. Key Takeaways and Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Market Landscape

  • 2.1. Introduction
  • 2.2. Definitions and Research Scope
  • 2.3. Connectivity
    • 2.3.1. LPWAN
      • i. LoRa (Long-range Wide-area Network)
        • Figure 2.1: Traffic Management System Using LoRa and Machine Learning Mechanisms
      • ii. LTE-M
      • iii. NB-IoT
      • iv. Unlicenced Networks
    • 2.3.2. 5G
    • 2.3.3. Edge Computing
      • i. MEC
      • ii. Fog Computing
    • 2.3.4. V2X
      • Figure 2.2: Infographic on Smart Traffic Management System Connections
      • i. Use Cases
    • 2.3.5. Artificial Intelligence and Machine Learning
  • 2.4. Technical Considerations
    • 2.4.1. Implementation
    • 2.4.2. Cybersecurity
    • 2.4.3. Privacy and Consent
  • 2.5. Key Drivers

3. Regional Analysis and Future Outlook

  • 3.1. Introduction: Regional Analysis & Future Outlook
    • 3.1.1. North America
      • i. US
      • ii. Canada
    • 3.1.2. Latin America
      • i. Brazil
    • 3.1.3. West Europe
      • i. Austria
      • ii. Germany
      • iii. UK
    • 3.1.4. Central and East Europe
      • i. Poland
      • ii. Turkey
    • 3.1.5. India and the Indian Subcontinent
      • i. India
    • 3.1.6. Far East and China
      • i. South Korea
      • Table 3.1: Regulations in Place Which Could Impact the Implementation of Smart Traffic Management Systems for South Korea
    • 3.1.7. Rest of Asia Pacific
      • i. Japan
    • 3.1.8. Africa & the Middle East
      • i. South Africa
    • 3.1.9. Future Outlook of Smart Traffic Management Deployments
      • Figure 3.2: Total Number of Smart Intersections (m), Split by 8 Key Regions, 2022-2027

4. Competitor Leaderboard and Vendor Profiles

  • 4.1. Why Read This Report
    • Table 4.1: Juniper Research Competitor Leaderboard: Smart Traffic Management Vendors Included & Product Portfolio
    • Figure 4.2: Juniper Research Leaderboard: Smart Traffic Management Vendors
    • Table 4.3: Juniper Research Leaderboard: Smart Traffic Management Vendors Positioning
    • Table 4.4: Juniper Research Leaderboard Heatmap: Smart Traffic Management
  • 4.2. Smart Traffic Management - Vendor Profiles
    • 4.2.1. Cleverciti
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.5: Cleverciti Cockpit, Integrated Smart Parking Management Platform
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.2. Commsignia
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.3. Cubic Corporation
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.4. Econolite
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.6: Econolite Product Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.5. Efkon GmbH
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.6. Iteris
      • i. Corporate
        • Table 4.7: Iteris' Financial Snapshot. FY 2019-2021 ($m) (FYE 31 March)
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.7. Kapsch TrafficCom
      • i. Corporate
        • Table 4.8: Kapsch TrafficCom's Financial Snapshot, FY 2019-2021 ($m) (FYE 31st March)
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.8. Miovision
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.9. Nedap
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.10. Q-Free
      • i. Corporate
        • Table 4.9: Q-Free's Financial Snapshot ($), FY 2018-2020
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.11. Rapid Flow Technologies
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.12. Sensys Networks
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.10: FlexMag Sensor in 'Flush' Configuration
        • Figure 4.11: A 'GiveMeGreen' Compatible Intersection in Santa Clarita, CA
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.13. Smart Parking
      • i. Corporate
        • Table 4.12: Smart Parking's Financial Snapshot ($m), FY 2019-2021 (FYE 23 August)
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.14. Telegra
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.13: TopXView Software for Traffic-related Applications
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.15. Verra Mobility
      • i. Corporate
      • ii. Geographic spread
      • iii. Key clients and partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
  • 4.3. Juniper Research Leaderboard Assessment Methodology
    • 4.3.1. Limitations & Interpretations
      • Table 4.14: Juniper Research Leaderboard and Scoring Criteria

5. Market Forecasts

  • 5.1. Introduction
  • 5.2. Forecast Summary
    • 5.2.1. Annual Spend of Smart Intersection Hardware & Software
      • Figure & Table 5.1: Total Annual Spend on Smart Intersection Hardware & Software ($m), Split by 8 Key Regions, 2022-2027
    • 5.2.2. Annual Spend of Smart Parking Hardware & Software
      • Figure & Table 5.2: Total Annual Spend on Smart Parking Hardware & Software ($m), Split by 8 Key Regions, 2022-2027
    • 5.2.3. Annual Spend of Smart Traffic Management Hardware & Software
      • Figure & Table 5.3: Total Annual Spend on Smart Traffic Management Hardware & Software ($m), Split by 8 Key Regions, 2022-2027
    • 5.2.4. Congestion & Emissions Cost Savings
      • Figure & Table 5.4: Total Annual Savings on Congestion & Emissions ($m), Split by 8 Key Regions, 2022-2027
  • 5.3. Smart Intersections Market
    • 5.3.1. Smart Intersections Forecast Methodology
      • Figure 5.5: Smart Intersections MethodoloIgy
    • 5.3.2. Number of Smart Intersections
      • Figure & Table 5.6: Total Number of Deployed Smart Intersections (m), Split by 8 Key Regions, 2022-2027
    • 5.3.3. Annual Spend on Smart Intersection Hardware
      • Figure & Table 5.7: Total Annual Spend on Smart Intersection Hardware ($m), Split by 8 Key Regions, 2022-2027
    • 5.3.4. Annual Spend on Smart Intersection Software
      • Figure & Table 5.8: Total Annual Spend on Smart Intersection Software ($m), Split by 8 Key Regions, 2022-2027
  • 5.4. Smart Parking
    • 5.4.1. Smart Parking Forecast Methodology
      • Figure 5.9: Smart Parking Methodology
    • 5.4.2. Number of Smart Parking Spaces
      • Figure & Table 5.10: Total Number of Smart Parking Spaces (m), Split by 8 Key Regions, 2022-2027
    • 5.4.3. Annual Spend on Smart Parking Hardware
      • Figure & Table 5.11: Total Annual Spend on Smart Parking Hardware ($m), Split by 8 Key Regions, 2022-2027
    • 5.4.4. Annual Spend on Smart Parking Software
      • Figure & Table 5.12: Total Annual Spend on Smart Parking Software ($m), Split by 8 Key Regions, 2022-2027
  • 5.5. Congestion Management
    • 5.5.1. Congestion Management Forecast Methodology
      • Figure 5.13: Congestion Management Forecast Methodology
    • 5.5.2. Number of Congestion Hours Saved
      • Figure & Table 5.14: Total Number of Congestion Hours Saved by Smart Traffic Management Systems (m), Split by 8 Key Regions, 2022-2027
    • 5.5.3. Congestion Cost Savings
      • Figure & Table 5.15: Total Congestion Cost Savings ($m), Split by 8 Key Regions, 2022-2027
  • 5.6. Emission Reduction
    • 5.6.1. Emission Reduction Forecast Methodology
      • Figure 5.16: Emission Reduction Forecast Methodology
    • 5.6.2. Vehicle Emissions Saved
      • Figure & Table 5.17: Total Amount of Vehicle Emissions Saved by Smart Traffic Management Systems (MMT), Split by 8 Key Regions, 2022-2027
    • 5.6.3. Emissions Cost Savings
      • Figure & Table 5.18: Total Emissions Cost Savings ($m), Split by 8 Key Regions, 2022-2027