市场调查报告书
商品编码
1588530
交通分析市场规模、份额、成长分析,按类型、部署、模式、地区 - 产业预测,2024-2031 年Transportation Analytics Market Size, Share, Growth Analysis, By Type (Descriptive Analytics, Predictive Analytics), By Deployment (Cloud, On-Premises), By Mode (Roadways, Railways), By Region - Industry Forecast 2024-2031 |
2022年全球交通分析市场规模为256亿美元,从2023年的311.6亿美元成长到2031年的1,499.2亿美元,复合年增长率预计将维持在21.7%。
在交通拥挤和都市化日益加剧的推动下,智慧型运输系统(ITS)市场预计将大幅成长,尤其是在新兴国家。交通研究所显示,美国每年消耗超过 30 亿加仑的燃料,平均每年在交通中花费 42 小时,凸显了对高效能交通管理解决方案的迫切需求。随着人口增加和城市扩张,对交通分析的需求可能会增加,进一步推动市场成长。政府发展智慧城市的努力也将在这项扩张中发挥关键作用,美国运输部在重大基础建设计划上投资超过630亿美元就是例证。此外,乘用车和商用车数量的增加加剧了交通拥堵,因此分析工具对于优化交通流、减少碰撞和提高整体运输效率至关重要。然而,交通系统对资料分析的日益依赖引起了人们对资料安全和隐私的严重担忧。总体而言,在技术进步和智慧交通解决方案策略投资的推动下,美国交通分析市场未来几年可能会持续成长。
Global Transportation Analytics Market size was valued at USD 25.6 billion in 2022 and is poised to grow from USD 31.16 billion in 2023 to USD 149.92 billion by 2031, growing at a CAGR of 21.7% during the forecast period (2024-2031).
The Intelligent Transportation Systems (ITS) market is poised for significant growth, fueled by increasing traffic congestion and urbanization, particularly in emerging economies. The Transportation Institute highlights that Americans burn over 3 billion gallons of fuel annually and spend an average of 42 hours in traffic each year, underlining the urgent need for efficient traffic management solutions. As populations swell and cities expand, the demand for transportation analytics will likely rise, further driving market growth. Government initiatives aimed at developing smart cities, exemplified by the US Department of Transportation's investment of over USD 63 billion in major infrastructure projects, will also play a crucial role in this expansion. Additionally, the rise in both passenger and commercial vehicle numbers exacerbates traffic congestion, making analytics tools essential for optimizing traffic flow, reducing collisions, and improving overall transportation efficiency. However, the growing reliance on data analytics in transportation systems raises critical concerns regarding data security and privacy, which companies must address to gain consumer trust and compliance. Overall, the US Transportation Analytics Market is set to experience sustainable growth in the coming years, driven by technological advancements and strategic investments in smart transportation solutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Transportation Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Transportation Analytics Market Segmental Analysis
Global Transportation Analytics Market is segmented by Type, Deployemnt, Mode, and Region. Based on Type, the market is segmented into Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics. Based on Deployment, the market is segmented into Cloud, On-Premises, and Hybrid. Based on Mode, the market is segmented into Roadways, Railways, Airways, Waterways. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Transportation Analytics Market
The Global Transportation Analytics market is significantly driven by the increasing deployment of advanced traffic management systems (ATMs) and smart transportation initiatives worldwide. These analytics tools enhance efficiency by minimizing fuel consumption, reducing air pollution, and decreasing travel times, leading to heightened demand for such solutions. The trend toward operational automation further fuels this market expansion, as innovative technologies like artificial intelligence (AI) and machine learning (ML) are deployed to optimize transportation processes. Complementing this growth are government initiatives aimed at developing smart cities, which integrate transportation analytics with intelligent systems. Factors like urbanization, evolving lifestyles, increased investments, and rising consumer spending also contribute to the robust growth of this market.
Restraints in the Global Transportation Analytics Market
The Global Transportation Analytics market is poised for growth; however, it faces significant restraints that may inhibit expansion. Chief among these is the challenge of recouping return on investment (ROI) from outdated systems, which can deter organizations from adopting advanced analytics solutions. Additionally, stringent transportation regulatory standards complicate implementation efforts, posing further risks. The complexity of transporting diverse commodities and the integration challenges associated with legacy systems add another layer of difficulty, which could stifle innovation and slow the adoption of new analytics technologies in the sector between 2023 and 2030, ultimately impacting market growth trajectories.
Market Trends of the Global Transportation Analytics Market
The Global Transportation Analytics market is witnessing significant growth, driven by advancements in smart transportation infrastructure and the integration of AI and machine learning technologies. As electronic access and mobility management solutions proliferate, demand for analytics that monitor and optimize transportation systems is surging. Innovations like AI-powered real-time passenger density data collection enhance operational efficiency and traveler experience. The push toward greener mobility solutions further accelerates market expansion by promoting automated processes and reducing congestion. Consequently, the sector is capitalizing on increased awareness among travelers regarding system management and streamlined journey planning, signaling a robust trend towards smarter, safer transportation solutions.