全球交通分析市场规模（按分析类型、部署模式、应用、地区、范围和预测）

交通分析市场规模与预测

2024 年交通分析市场规模价值 152.1 亿美元，预计到 2032 年将达到 535.6 亿美元，2026 年至 2032 年的复合年增长率为 18.80%。

• 交通分析是应用数据和分析方法来优化和改善交通系统及营运。它涉及收集、处理和分析交通基础设施、车辆性能、交通模式和乘客行为等数据。透过利用各种资料来源，包括GPS监控、感测器和历史记录，交通分析有助于识别模式、预测需求并评估交通网路的效率。这项研究支持智慧决策，以提高营运效率、降低成本并增强交通系统的安全性和可靠性。
• 交通分析可用于多种用途，包括路线规划、交通管理、车队优化和公共交通调度。它可以优化送货卡车路线，以节省燃料消耗和行程时间，或预测交通拥堵高峰，从而有助于拥塞管理。交通分析利用机器学习和预测模型等现代技术，提供关键洞察，支援策略规划和营运调整，最终带来更永续、更有效率的交通解决方案。

全球运输分析市场动态

关键市场驱动因素

• 都市化与智慧城市倡议：城市人口的快速成长催生了对高效交通网络的需求。根据联合国预测，2050年，全球68%的人口将居住在都市区。这一都市化趋势正推动城市采用智慧交通系统，进而促进交通分析市场的发展。
• 政府智慧型运输系统(ITS) 计画：世界各国政府正在投资智慧交通系统，以改善道路安全和交通流量。美国运输部的「加强出行和交通革命」(SMART) 拨款计画预计将在 2021 年为智慧交通计画提供 1.6 亿美元。这些倡议预计将增加交通分析系统的使用。
• 电子商务和最后一哩配送的成长：电子商务市场的兴起推动了对运输分析的需求，以优化配送路线并提高效率。根据美国人口普查局的数据，2021年美国电子商务销售额将达到8,708亿美元，较2020年成长14.2%。这一成长迫使物流公司使用高阶分析技术来改善路线规划和资源配置。

主要挑战

• 数据整合：交通分析的关键挑战之一是整合来自各种来源的数据，包括GPS、感测器和交通摄影机。这些来源通常使用各种格式和标准，因此难以彙编出连贯的资料集。不一致或碎片化的数据会使可靠的分析和决策变得困难。有效的数据整合需要一个强大的系统来协调多个数据来源，并确保分析基于完整且连贯的资讯。如果没有适当的集成，由此产生的洞察可能是片面的或具有误导性的，从而降低交通管理策略的整体有效性。
• 资料隐私与安全：交通分析通常包含高度敏感的信息，包括乘客个人资料和敏感的营运资讯。确保这些资料的隐私和安全是一项重大挑战。为了避免未授权存取或洩露，组织必须制定严格的资料保护程序。遵守 GDPR 和 CCPA 等法规会增加复杂性，平衡资料效用与隐私也会增加复杂性。资料保护不力可能导致法律后果、公众信任丧失以及潜在的财务损失，这凸显了强大的网路安全框架在交通分析中的重要性。
• 数据品质与准确性：交通运输分析的效用很大程度取决于所获数据的品质和准确性。数据品质差，包括错误、不一致和资讯不完整，会导致分析结果不准确。高品质的数据需要严格的数据收集方法、检验流程和持续的监控。为了确保分析能够提供准确的洞察并支持有效的决策，组织必须实施品管程序并及时回应资料问题。不准确的数据会导致不准确的结论和无效的解决方案，从而降低分析的价值。

主要趋势

• 整合人工智慧和机器学习：人工智慧和机器学习正越来越多地被用于改善预测分析和优化运输路线。这些技术能够实现更准确的预测和即时修正，从而提高效率和决策能力。
• 自动驾驶汽车的兴起：随着自动驾驶汽车的发展，对高级分析技术的需求日益增长，以控制和优化其运行。自动驾驶汽车的数据可以帮助规划路线和进行交通管理。
• 物联网设备的使用日益增加：物联网 (IoT) 设备正变得越来越普遍，用于收集有关车辆性能、道路状况和交通流量的准确数据，为增强交通系统提供关键见解。
• 智慧城市计画：交通分析与智慧城市基础设施的整合正变得越来越普遍，包括使用数据来改善城市流动性、减少交通拥堵以及改善整体城市规划。

目录

第一章 引言

• 市场定义
• 市场区隔
• 调查方法

第二章执行摘要

• 主要发现
• 市场概览
• 市集亮点

第三章市场概述

• 市场规模和成长潜力
• 市场趋势
• 市场驱动因素
• 市场限制
• 市场机会
• 波特五力分析

第四章。按分析类型分類的运输分析市场

• 说明
• 预知
• 规定性
• 诊断

5. 交通分析市场（依部署模式）

• 本地
• 云端基础
• 杂交种

第六章 交通分析市场（按应用）

• 交通管理
• 车队管理
• 供应链管理
• 公共运输
• 基础设施管理

第七章区域分析

• 北美洲
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中东和非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯聯合大公国

第八章市场动态

• 市场驱动因素
• 市场限制
• 市场机会
• COVID-19 市场影响

第九章 竞争态势

• 主要企业
• 市场占有率分析

第十章 公司简介

• Cellint
• Cubic Corporation
• Iteris Inc.
• Deltion Ltd.
• Hitachi Ltd.
• Garmin Ltd.
• IBM
• Inrix Inc.
• TomTom International BV
• Oracle
• Ryder Systems Inc.
• Envista LLC
• Syntelic Solutions Corporation
• Trimble Inc.
• SmartDrive Systems Inc.
• KEWILL INDIA PRIVATE LIMITED
• Qualcomm Technologies Inc.
• Traffic Master
• Thales Group
• Kapsch Ag
• Decawave

第十一章 市场展望与机会

• 新兴技术
• 未来市场趋势
• 投资机会

第十二章 附录

• 简称列表
• 来源和参考文献

Transportation Analytics Market Size And Forecast

Transportation Analytics Market size was valued at USD 15.21 Billion in 2024 and is projected to reach USD 53.56 Billion by 2032, growing at a CAGR of 18.80% from 2026-2032.

• Transportation analytics is the application of data and analytical approaches to optimize and improve transportation systems and operations. It includes the collecting, processing, and analysis of data on transportation infrastructure, vehicle performance, traffic patterns, and passenger behavior. Transportation analytics assists in identifying patterns, forecasting demand, and evaluating the efficiency of transportation networks by leveraging a variety of data sources, including GPS monitoring, sensors, and historical records. This research assists in making educated decisions to improve operational efficiency, lower costs, and increase safety and dependability in transportation systems.
• Transportation analytics can be used for several purposes, including route planning, traffic management, fleet optimization, and public transportation scheduling. It can aid in optimizing delivery truck routes to save fuel consumption and travel time, as well as predict peak traffic periods to help manage congestion. Transportation analytics uses modern techniques such as machine learning and predictive modeling to supply important insights that support strategic planning and operational modifications, ultimately leading to more sustainable and efficient transportation solutions.

Global Transportation Analytics Market Dynamics

The key market dynamics that are shaping the global transportation analytics market include:

Key Market Drivers:

• Urbanization and Smart City Initiatives: The fast rise of urban populations necessitates efficient transportation networks. According to the United Nations, 68% of the world's population is expected to reside in cities by 2050. This urbanization trend is driving cities to adopt smart transportation systems, hence boosting the transportation analytics market.
• Government Initiatives for Intelligent Transportation Systems (ITS): Governments throughout the world are investing in intelligent transportation systems to improve road safety and traffic flow. The U.S. Department of Transportation's Strengthening Mobility and Revolutionizing Transportation (SMART) grants program will provide $160 million for smart transportation initiatives in 2021. These activities are expected to increase the usage of transportation analytics systems.
• Growth in E-commerce and Last-Mile Delivery: The thriving e-commerce market is increasing demand for transportation analytics to optimize delivery routes and boost efficiency. According to the United States Census Bureau, e-commerce sales in the United States will reach $870.8 billion in 2021, a 14.2% increase from 2020. This expansion is driving logistics organizations to use advanced analytics to improve route planning and resource allocation.

Key Challenges:

• Data Integration: One important problem in transportation analytics is combining data from a variety of sources, including GPS, sensors, and traffic cameras. These sources frequently use various formats and standards, making it difficult to compile a coherent dataset. Inconsistent or fragmented data might make it difficult to conduct reliable analysis and make decisions. Effective data integration necessitates strong systems that can harmonize multiple data sources, ensuring that analytics are based on complete and coherent information. Without proper integration, the resulting insights may be partial or deceptive, reducing the overall effectiveness of transportation management strategies.
• Data Privacy and Security: Transportation analytics frequently entail sensitive information, such as passenger personal data and confidential operating details. Ensuring the privacy and security of this data presents a big challenge. To avoid unauthorized access and breaches, organizations must put in place strict data protection procedures. Compliance with regulations like GDPR and CCPA adds complexity, as does balancing data utility and privacy. Failure to safeguard data can result in legal implications, loss of public trust, and potential financial losses, emphasizing the importance of strong cybersecurity frameworks in transportation analytics.
• Data Quality and Accuracy: The usefulness of transportation analytics is strongly dependent on the quality and accuracy of the obtained data. Poor data quality, such as mistakes, inconsistencies, or incomplete information, might result in inaccurate analytics results. High data quality necessitates rigorous data-gathering methods, validation processes, and ongoing monitoring. To guarantee that analytics give accurate insights and assist effective decision-making, organizations must implement quality control procedures and respond quickly to data issues. Inaccurate data can result in inaccurate conclusions and ineffective solutions, reducing the value of analytics.

Key Trends:

• Integration of AI and Machine Learning: AI and machine learning are increasingly being utilized to improve predictive analytics and optimize transportation routes. These technologies allow for more precise projections and real-time modifications, which improve efficiency and decision-making.
• Rise of Autonomous Vehicles: As autonomous vehicles evolve, there is a greater necessity for advanced analytics to control and optimize their operations. Data from these cars helps with route design and traffic management.
• Increasing Use of IoT Devices: Internet of Things (IoT) devices are becoming increasingly popular for gathering precise data on vehicle performance, road conditions, and traffic flow, which provides significant insights for enhancing transportation systems.
• Smart City Initiatives: The integration of transportation analytics with smart city infrastructure is becoming increasingly popular. This includes using data to improve urban mobility, reduce traffic congestion, and improve overall city planning.

Global Transportation Analytics Market Regional Analysis

Here is a more detailed regional analysis of the global transportation analytics market:

North America:

• North America continues to lead the transportation analytics market due to its excellent technology infrastructure and significant focus on transportation innovation. The region's dedication to smart city efforts and considerable investments in updating transportation systems have resulted in a thriving ecosystem for analytics-driven solutions. According to the U.S. Department of Transportation's "Transportation Statistics Annual Report 2023," the transportation sector accounts for over 9% of the US GDP and employs over 13 million Americans. This emphasizes the sector's size and the vital role analytics can play in improving personnel efficiency and maximizing economic output.
• The implementation of Intelligent Transportation Systems (ITS) has been a primary driver of market expansion in North America. The ITS Joint Program Office indicates that over $4 billion has been invested in ITS projects since 2016, with a projected market value of $33.6 billion by 2025, demonstrating the growing emphasis on data-driven decision-making.
• Traffic congestion difficulties underscore the need for advanced analytics, with the 2022 Urban Mobility Report estimating that U.S. commuters waste 51 hours and $869 per year due to congestion. Furthermore, the rise in e-commerce, with online sales accounting for 15.4% of total retail sales in Q2 2023, has increased the demand for analytics in last-mile delivery optimization, driving future market expansion.

Asia Pacific:

• The Asia Pacific Region's Transportation Analytics market is expanding rapidly, owing to urbanization, traffic congestion, and a thriving e-commerce sector. The United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) expects the region's urban population to grow from 2.3 billion in 2020 to 3.5 billion by 2050, needing more efficient transportation infrastructure. This trend is driving up demand for analytics-based solutions. Traffic congestion is a major issue, with cities such as Mumbai and Bangkok among the most congested in the world, causing drivers to waste significant time each year. This issue demonstrates the critical necessity for advanced analytics to successfully manage traffic.
• The e-commerce boom is also fueling demand for transportation analytics. The Southeast Asian e-commerce sector is estimated to reach $234 billion by 2025, forcing logistics companies to use sophisticated analytics techniques to optimize routes and improve delivery efficiency. Government initiatives, such as China's emphasis on smart transportation systems and India's Smart Cities Mission, which includes a slew of smart transportation projects, help to drive this expansion.

Global Transportation Analytics Market: Segmentation Analysis

The Global Transportation Analytics Market is Segmented on the basis of Analytics Type, Deployment Mode, Application, And Geography.

Transportation Analytics Market, By Analytics Type

• Descriptive
• Predictive
• Prescriptive
• Diagnostic

Based on Analytics Type, the market is fragmented into Descriptive, Predictive, Prescriptive, and Diagnostic. Descriptive analytics now leads the transportation analytics market, offering useful insights into historical transportation data. This portion is critical for understanding traffic patterns, passenger behavior, and operational efficiency. The predictive analytics segment is enjoying the most rapid growth. Predictive models may estimate future patterns based on historical data, allowing transportation businesses to foresee issues, optimize resource allocation, and make proactive decisions to increase efficiency and service quality.

Transportation Analytics Market, By Deployment Mode

• On-Premises
• Cloud-Based
• Hybrid

Based on Deployment Mode, the market is segmented into On-Premises, Cloud-Based, and Hybrid. Cloud-based deployment is now dominating the transportation analytics market due to its scalability, cost-effectiveness, and accessibility. It enables transportation firms to use strong analytics technologies without making big upfront costs. However, the hybrid deployment paradigm is rapidly expanding as businesses seek to balance the advantages of cloud flexibility with the security and management of on-premises solutions. This method enables enterprises to store sensitive data on-premises while processing and gaining insights from cloud-based analytics.

Transportation Analytics Market, By Application

• Traffic Management
• Fleet Management
• Supply Chain Management
• Public Transportation
• Infrastructure Management

Based on Application, the market is segmented into Traffic Management, Fleet Management, Supply Chain Management, Public Transportation, and Infrastructure Management. Traffic management is now the leading segment in the transportation analytics market, tackling crucial issues such as congestion, safety, and environmental impact. However, fleet management is the fastest-growing category, owing to a growing emphasis on optimizing vehicle performance, lowering operational costs, and increasing driver safety. Telematics and IoT device advancements are pushing the adoption of fleet management analytics systems, which allow for real-time tracking, predictive maintenance, and fuel efficiency optimization.

Transportation Analytics Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World
• On the basis of Geography, the Global Transportation Analytics Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America now dominates the transportation analytics market, due to early technology adoption, strong infrastructure, and tight regulations. This region boasts a robust ecosystem of analytics suppliers and end consumers. Asia Pacific, on the other hand, is expanding at the quickest rate due to rapid urbanization, increased traffic congestion, and considerable government investments in smart city initiatives. This region has enormous potential for transportation analytics solutions to handle its increasing mobility concerns.

Key Players

The "Global Transportation Analytics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Cellint, Cubic Corporation, Iteris, Inc., Deltion, Ltd., Hitachi Ltd., Garmin, Ltd., IBM, Inrix, Inc., TomTom International B.V., Oracle, Ryder Systems, Inc., Envista LLC, Syntelic Solutions Corporation, Trimble, Inc., SmartDrive Systems, Inc., KEWILL INDIA PRIVATE LIMITED, Qualcomm Technologies, Inc., Traffic Master, Thales Group, Kapsch Ag , and Decawave. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Transportation Analytics Market Recent Developments
• In September 2023, 3SC Solutions will deploy an advanced transport management solution. TMS is a comprehensive transportation management solution that employs artificial intelligence and data analytics.
• In October 2023, IBM implemented a cognitive supply chain resulting in a 100% order fulfillment rate and a USD 160 million reduction in supply chain expenditures during a period of unprecedented disruption.
• In May 2022, as part of the "Make in India" campaign, the Airports Authority of India (AAI) reached a critical milestone by forming a cooperation with Bharat Electronics Limited (BEL), a Navratna Defence Public Sector Undertaking. This collaboration aims to collaboratively develop indigenous solutions for air traffic control and aircraft surface movement at airports throughout the country.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Transportation Analytics Market, By Analytics Type

• Descriptive
• Predictive
• Prescriptive
• Diagnostic

5. Transportation Analytics Market, By Deployment Mode

• On-Premises
• Cloud-Based
• Hybrid

6. Transportation Analytics Market, By Application

• Traffic Management
• Fleet Management
• Supply Chain Management
• Public Transportation
• Infrastructure Management

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• Cellint
• Cubic Corporation
• Iteris Inc.
• Deltion Ltd.
• Hitachi Ltd.
• Garmin Ltd.
• IBM
• Inrix Inc.
• TomTom International B.V.
• Oracle
• Ryder Systems Inc.
• Envista LLC
• Syntelic Solutions Corporation
• Trimble Inc.
• SmartDrive Systems Inc.
• KEWILL INDIA PRIVATE LIMITED
• Qualcomm Technologies Inc.
• Traffic Master
• Thales Group
• Kapsch Ag
• Decawave

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References