Global Smart Traffic Management Market 2023-2028: Full Research Suite

Our Smart Traffic Management research report provides a detailed evaluation of the market, including different benefits and drivers within smart traffic management such as smart cities, and initiatives focusing on reducing congestion and improving sustainability. The research also considers the future challenges within smart traffic management, and emerging trends in the space. In addition, this report covers market opportunities; providing strategic insights into the development of smart traffic management systems in line with new technologies, such as AI and machine learning. It highlights key steps that are important for vendors, merchants and municipalities to take on implementing smart traffic management, in order to improve traffic flow and sustainability within cities.

The report also positions 29 smart traffic management vendors across two Juniper Research Competitor Leaderboards, for smart intersections and smart parking; providing an invaluable resource for stakeholders seeking to understand the competitive landscape in the market.

The research suite contains a detailed dataset; providing forecasts for 60 countries across a wide range of different metrics, including total revenue from smart intersections hardware and software, smart parking hardware and software, and congestion and emission savings as a result of deployments.

This research suite comprises of:

Market Trends & Strategies (PDF)
Competitor Leaderboard (PDF)
Data & Forecasts (PDF & Excel)
12 Months' Access to harvest Online Data Platform
All report content is delivered in the English language.

Key Features
Market Dynamics: A strategic analysis of the major drivers, challenges, and innovations shaping the adoption and development of the smart traffic management space, including:
The importance of using smart traffic management systems in the face of growing city populations.
Future strategic directions and market outlook for smart traffic management vendors.
Key drivers and benefits of smart traffic management for vendors, including an increase in smart city traffic management investment, the implementation of AI and ML, the analysis of real-time data and the impact on the smart traffic management space, as well as how smart traffic management can improve the issues surrounding congestion and emissions.
Country Readiness Index: Comprehensive coverage featuring country-level market analysis on the future of the market in a select 60 countries split by 8 key regions; thoroughly analysing each country’s potential success in the smart traffic management market, with insight into current and future trends, paired with supplementary 5-year forecast data.
Benchmark Industry Forecasts: Includes forecasts for the total smart traffic management revenue across smart intersections and smart parking, as well as the total emission savings (MMT) and hours in congestion saved through smart traffic management. This data is split by our 8 key forecast regions and 60 countries:
North America:
Canada, US
Latin America:
Argentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay
West Europe:
Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, UK
Central & East Europe:
Croatia, Czech Republic, Hungary, Poland, Romania, Russia, Turkey, Ukraine
Far East & China:
China, Hong Kong, Japan, South Korea
Indian Subcontinent:
Bangladesh, India, Nepal, Pakistan
Rest of Asia Pacific:
Australia, Indonesia, Malaysia, New Zealand, Philippines, Singapore, Thailand, Vietnam
Africa & Middle East:
Algeria, Egypt, Israel, Kenya, Kuwait, Nigeria, Qatar, Saudi Arabia, South Africa, United Arab Emirates
Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 29 vendors in the smart traffic management space, via two Juniper Research Competitor Leaderboards:
Smart Traffic Management
Commsignia
Cubic Corporation
Econolite
Efkon GmbH
emnify
IBM
Iteris
Kapsch TrafficCom
Miovision
Q-Free
Sensys Networks
SWARCO
Telegra
Thales
Yunex Traffic
Smart Parking
Cleverciti
EasyPark
Fleximodo
Flowbird
GE (General Electric)
Intelli-Park
IoT Solutions Group
Parkopedia
Parqour
Q-Park
Sharvy
Smart Parking
SWARCO
TransCore
Urbiotica

Please note: the online download version of this report is for a global site license.


1. Key Takeaways and Strategic Recommendations
1.1 Key Takeaways
1.1.1 Governments Increasing Funding Towards Smart Cities
1.1.2 Smart Intersection Spend to Make up 90% of All Smart Traffic Management
Figure 1.1: Graph Displaying Total Smart Traffic Management Spend Globally, Split by 8 Key Regions 2023-2028
1.1.3 5G will Increase Smart Traffic Management Capabilities
1.2 Strategic Recommendations
1.2.1 Developing Regions in Need of Smart Traffic Management
1.2.2 Smart Parking Vendors to Take Advantage of Dynamic Abilities
1.2.3 Security Needed for Public Trust
2. Market Landscape
2.1 Introduction
2.2 Definitions and Research Score
2.3 Key Trends and Drivers
2.3.1 Smart Cities
2.3.2 Environmental Concerns
2.3.3 Cost-effectiveness
2.3.4 Predictive Analytics
2.4 Benefits of Smart Traffic Management
2.4.1 Benefits for Cyclists & Pedestrians
i. Enhanced Safety
ii. Quicker Journeys & Response to Changing Traffic Conditions
2.4.2 Benefits for the Environment
i. Minimised Emissions
2.4.3 Benefits for the City
i. Reduced Congestion
ii. Reduction in Fuel Usage
2.4.4 Benefits for Parking Companies
i. Dynamic Pricing
ii. Create Parking Spaces
2.5 Smart Traffic Management in Smart Cities
Figure 2.1: Visualisation of Elements of Smart Cities
i. Reducing Traffic Congestion
ii. Parking
iii. Emergency Situations
iv. Transit Planning
v. Urban Planning
2.6 Future Challenges
2.6.1 Pedestrian Data and Security
2.7 Smart Traffic Management Technology
2.7.1 LPWAN
i. LoRa (Long-range Wide-area Network)
Figure 2.2: Traffic Management System Using LoRa and Machine Learning Mechanisms
2.7.2 5G
2.7.3 Edge Computing
2.7.4 V2X
Figure 2.3: Infographic on Smart Traffic Management System Connections
i. Use Cases
2.7.5 Artificial Intelligence and Machine Learning
2.8 Technical Considerations
2.8.1 Implementation
2.8.2 Cybersecurity
2.8.3 Privacy and Consent
3. Segment Analysis
3.1 Introduction
3.2 Smart Intersections Hardware
3.2.1 Above ground sensors
i. Ultrasonic Detectors
ii. Traffic Sensors Doppler Type
iii. Optical Beacon
3.2.2 In-ground Sensors
Figure 3.1: FlexMag Sensor
3.2.3 Visual & Radar Sensors
i. Use Cases
3.3 Smart Intersection Software
Figure 3.2: Smart Intersection Software
3.4 Smart Parking Hardware
3.4.1 Sensors
i. Surface & Flush Mount Sensors
ii. Overhead Sensors
Figure 3.3: Overhead Parking Sensor
iii. Ground Sensors
3.4.2 Driver Guidance Systems
i. Dynamic Message Signs
ii. Overhead Indicators
Figure 3.4: Overhead Indicator System
iii. Mobile Apps
3.5 Smart Parking Software
Figure 3.5: Smart Parking Software
4. Country Readiness Index
4.1 Smart Traffic Management Country Readiness Index
Figure 4.1: Juniper Research’s 8 Key Regions Definition
Figure 4.2: Juniper Research Smart Traffic Management Country Readiness Index: Scoring Criteria
Figure 4.3: Juniper Research Country Readiness Index – Smart Traffic Management
Figure 4.4: Juniper Research’s Competitive Web: Smart Traffic Management Regional Opportunities
4.2 Smart Traffic Management: Regional Analysis & Future Outlook
4.2.1 North America
i. Smart Intersections
Figure 4.5: North America Figure Displaying Growth in the Number of Smart Intersection, 2023-2028
ii. Smart Parking
iii. Factors Driving Growth
iv. Factors Holding Back Growth
4.2.2 Latin America
i. Smart Intersections
ii. Smart Parking
Figure 4.6: Figure Displaying Latin America Growth in the Number of Smart Parking Spaces, 2023-2028
iii. Factors Driving Growth
iv. Factors Holding Back Growth
4.2.3 West Europe
i. Smart Intersections
Figure 4.7: Figure Displaying West Europe Growth in the Number of Smart Intersections, 2023-2028
ii. Smart Parking
iii. Factors Driving Growth
iv. Factors Holding Back Growth
4.2.4 Central and East Europe
i. Smart Intersections
Figure 4.8: Figure Displaying Central & East Europe Growth in the Number of Smart Intersections, 2023-2028
ii. Smart Parking
iii. Factors Driving Growth
iv. Factors Holding Back Growth
4.2.5 Far East and China
i. Smart Intersections
ii. Smart Parking
Figure 4.9: Figure Displaying Far East & China Growth in the Number of Smart Parking Spaces, 2023-2028
iii. Factors Driving Growth
iv. Factors Holding Back Growth
Table 4.10: Regulations in Place Which Could Impact the Implementation of Smart Traffic Management Systems for South Korea
4.2.6 Indian Subcontinent
i. India
Figure 4.11: Figure Displaying Indian Subcontinent Growth in the Number of Smart Parking Spaces, 2023-2028
4.2.7 Rest of Asia Pacific
i. Smart Intersections
Figure 4.12: Figure Displaying Rest of Asia Pacific Growth in the Number of Smart Intersections, 2023-2028
ii. Smart Parking
iii. Factors Driving Growth
iv. Factors Holding Back Growth
4.2.8 Africa & the Middle East
i. Smart Intersections
ii. Smart Parking
iii. Factors Driving Growth
iv. Factors Holding Back Growth
1. Juniper Research Competitor Leaderboard
1.1 Why Read This Repot
Figure 1.1: Juniper Research Competitor Leaderboard Vendors: Smart Traffic Management
Figure 1.2: Juniper Research Competitor Leaderboard – Smart Traffic Management
Figure 1.3: Juniper Research Competitor Leaderboard: Smart Traffic Management Vendor Ranking
Figure 1.4: Juniper Research Competitor Leaderboard Smart Traffic Management – Heatmap
2. Company Profiles
2.1 Smart Traffic Management Vendor Profiles
2.1.1 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 Opportunities
2.1.2 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 Opportunities
2.1.3 Econolite
i. Corporate
ii. Geographic Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
Figure 2.1: Econolite Product Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.4 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 Opportunities
2.1.5 Emnify
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.6 IBM
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.7 Iteris
i. Corporate
Table 2.2: Iteris’ Financial Snapshot. FY 2019-2021 ($m) (FYE 31 March)
ii. Geographic Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.8 Kapsch TrafficCom
i. Corporate
Table 2.3: Kapsch TrafficCom’s Financial Snapshot, FY 2019-2021 ($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 Opportunities
2.1.9 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 Opportunities
2.1.10 Q-Free
i. Corporate
Table 2.4: 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 Opportunities
2.1.11 Sensys Networks
i. Corporate
ii. Geographic Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
Figure 2.5: FlexMag Sensor in ‘Flush’ Configuration
Figure 2.6: A ‘GiveMeGreen’ Compatible Intersection in Santa Clarita, CA
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.12 Swarco
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.13 Telegra
i. Corporate
ii. Geographic Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
Figure 2.7: TopXView Software for Traffic-related Applications
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.14 Thales
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
Figure 2.8: Visualisation of SEGUR by Thales
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.15 Yunex Traffic
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
Figure 2.9: Juniper Research Leaderboard Assessment Criteria: Smart Traffic Management
3. Smart Parking Leaderboard
Figure 3.1: Juniper Research Competitor Leaderboard Vendors: Smart Parking
Figure 3.2: Juniper Research Competitor Leaderboard – Smart Parking
Figure 3.3: Juniper Research Competitor Leaderboard: Smart Parking Vendor Ranking
Figure 3.4: Juniper Research Competitor Leaderboard Smart Parking – Heatmap
3.1 Smart Parking Vendor Profiles
3.1.1 Cleverciti
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
Figure 3.5: Cleverciti Cockpit, Integrated Smart Parking Management Platform
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.2 Easypark
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.3 Feximodo
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
Figure 3.6: Visualisation of IoT Parking Sensor Benefits
Figure 3.7: Visualisation of IoT Based Parking Management
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.4 Flowbird
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.5 GE (General Electric)
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.6 Intelli Park
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.7 IoT Solutions Group
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.8 Parkopedia
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
Figure 3.9: Visualisation of Parking Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.9 Parqour
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.10 Qpark
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.11 Sharvy
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.12 Smart Parking
i. Corporate
Table 3.8: Smart Parking’s Financial Snapshot ($m), FY 2019-2021 (FYE 23 August)
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.13 Swarco
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.14 Transcore
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
3.1.15 Urbiotica
i. Corporate
ii. Geographical Spread
iii. Key Clients and Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
Figure 2.9: Juniper Research Leaderboard Assessment Criteria: Smart Parking
1. Market Overview
1.1 Introduction
1.2 Definitions and Research Score
1.3 Key Trends and Drivers
2. Methodology, Assumptions and Summary
2.1 Introduction
2.2 Methodology & Assumptions
2.3 Forecast Summary
2.3.1 Annual Spend on Smart Intersection Hardware & Software
Figure & Table 2.1: Total Annual Spend on Smart Intersection Hardware & Software ($m), Split by 8 Key Regions, 2023-2028
2.3.2 Annual Spend on Smart Parking Hardware & Software
Figure & Table 2.2: Total Annual Spend on Smart Parking Hardware & Software ($m), Split by 8 Key Regions, 2023-2028
2.3.3 Annual Spend on Smart Traffic Management Hardware & Software
Figure & Table 2.3: Total Annual Spend on Smart Traffic Management Hardware & Software ($m), Split by 8 Key Regions, 2023-2028
3. Smart Intersections
3.1.1 Smart Intersection
Figure 3.1: Smart Intersections Methodology
3.2 Smart Intersection Market
3.2.1 Number of Smart Intersections
Figure & Table 3.2: Total Number of Deployed Smart Intersections (m), Split by 8 Key Regions, 2023-2028
3.2.2 Annual Spend on Smart Intersection Hardware
Figure & Table 3.3: Total Annual Spend on Smart Intersection Hardware ($m), Split by 8 Key Regions, 2023-2028
3.2.3 Annual Spend on Smart Intersection Software
Figure & Table 3.4: Total Annual Spend on Smart Intersection Software ($m), Split by 8 Key Regions, 2023 2028
4. Smart Parking
4.1.1 Smart Parking
Figure 4.1: Smart Parking Methodology
4.2 Smart Parking Marketing
4.2.1 Number of Smart Parking Spaces
Figure & Table 4.2: Total Number of Smart Parking Spaces (m), Split by 8 Key Regions 2023-2028
4.2.2 Annual Spend on Smart Parking Hardware
Figure & Table 4.3: Total Annual Spend on Smart Parking Hardware ($m), Split by 8 Key Regions, 2023 2028
4.2.3 Annual Spend on Smart Parking Software
Figure & Table 4.4: Total Annual Spend on Smart Parking Software ($m), Split by 8 Key Regions, 2023-2028
5. Congestion
5.1.1 Congestion Management
Figure 5.1: Congestion Management Forecast Methodology
5.2 Congestion Summary
5.2.1 Number of Congestion Hours Saved
Figure & Table 5.2: Total Number of Congestion Hours Saved by Smart Traffic Management Systems (m), Split by 8 Key Regions, 2023-2028
6. Emission Reduction
6.1.1 Emission Reduction
Figure 6.1 Emission Reduction Forecast Methodology
6.2 Emission Reduction Summary
6.2.1 Vehicle Emissions Saved
Figure & Table 6.2: Total Amount of Vehicle Emissions Saved by Smart Traffic Management Systems (MMT), Split by 8 Key Regions, 2023-2028 31

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