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市場調查報告書
商品編碼
1076190

智能交通管理:用例、區域分析、市場預測(2022-2027)

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

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

本報告分析了智能交通管理的全球市場,並概述和普及了系統,整體市場規模趨勢展望(未來 5 年),以及按部門、地區和行業劃分的詳細信息。我們正在調查趨勢、市場競爭結構、未來增長潛力和挑戰、主要公司概況(共15家公司)等。

待分析公司

  • Juniper Research Competitor Leaderboard的對象企業:Cleverciti、Commsignia、Cubic Corporation、Econolite、Efkon GmbH、Iteris、Kapsch TrafficCom、Miovision、Nedap、Q-Free、Rapid Flow、Sensys Networks、Smart Parking、Telegra、Verra Mobility
  • 提及企業: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

數據交互預測

Juniper Research 的預測集包括:

  • 分析對像地區(共8個地區)/對像國家(共60個國家):未來5年預測
    • 阿爾及利亞
    • 阿根廷
    • 澳大利亞
    • 奧地利
    • 孟加拉國
    • 比利時
    • 巴西
    • 加拿大
    • 智利
    • 中國
    • 哥倫比亞
    • 克羅地亞
    • 捷克語
    • 丹麥
    • 厄瓜多爾
    • 埃及
    • 芬蘭
    • 法國
    • 德國
    • 希臘
    • 香港
    • 匈牙利
    • 印度
    • 印度尼西亞
    • 愛爾蘭
    • 以色列
    • 意大利
    • 日本
    • 肯尼亞
    • 科威特
    • 馬來西亞
    • 墨西哥
    • 尼泊爾
    • 荷蘭
    • 新西蘭
    • 尼日利亞
    • 挪威
    • 巴基斯坦
    • 秘魯
    • 菲律賓
    • 波蘭
    • 葡萄牙
    • 卡塔爾
    • 羅馬尼亞
    • 俄羅斯
    • 沙特阿拉伯
    • 新加坡
    • 南非
    • 韓國
    • 西班牙
    • 瑞典
    • 瑞士
    • 泰國
    • 土耳其
    • 英國
    • 烏克蘭
    • 阿拉伯聯合酋長國
    • 烏拉圭
    • 美國
    • 越南

目錄

第1章分析概述和戰略建議

第2章市場情況

  • 簡介
  • 定義和調查範圍
  • 連接性
    • 低功耗廣域網
      • LoRa(長途廣域網)
      • LTE-M
      • NB-IoT
      • 免許可網絡
    • 5G
    • 邊緣計算
      • MEC
      • 霧計算
    • V2X
      • 用例
    • 人工智能 (AI) 和機器學習 (ML)
  • 技術考慮
    • 實施
    • 網絡安全
    • 隱私權和同意
  • 主要促進者

第3章區域分析及未來展望

  • 簡介:區域分析及未來展望
    • 北美
      • 美國
      • 加拿大
    • 拉丁美洲
      • 巴西
    • 西歐
      • 奧地利
      • 德國
      • 英國
    • 中歐和東歐
      • 波蘭
      • 土耳其
    • 印度-印度次大陸
      • 印度
    • 遠東/中國
      • 韓國
    • 其他亞太國家
      • 日本
    • 非洲和中東
      • 南非
    • 智能交通管理:未來發展展望

第 4 章競爭對手排行榜和供應商簡介

  • 閱讀本報告的理由
  • 智能流量管理:供應商資料
    • Cleverciti
      • 公司
      • 擴展區
      • 與主要客戶的合作夥伴關係
      • 主要產品/服務
      • Juniper Research 的觀點:主要優勢和戰略發展機會
    • Commsignia
    • Cubic Corporation
    • Econolite
    • Efkon GmbH
    • Iteris
    • Kapsch TrafficCom
    • Miovision
    • Nedap
    • Q-Free
    • Rapid Flow Technologies
    • Sensys Networks
    • Smart Parking
    • Telegra
    • Verra Mobility
  • Juniper Research Leaderboard的分析手法

第5章市場預測

  • 簡介
  • 預測摘要
  • 智能路口市場
    • 預測方法
    • 智能路口數量
    • 智能十字路口硬件的年度支出
    • 智能十字路口軟件的年度支出
  • 智能停車
    • 預測方法
    • 智能停車位數量
    • 智能停車硬件的年度支出
    • 智能停車軟件的年度支出
  • 擁塞管理
    • 預測方法
    • 減少擁堵時間
    • 減少擁塞成本
  • 減排
    • 預測方法
    • 減少車輛排放
    • 降低排放成本
目錄

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