市場調查報告書
商品編碼
1588530
交通分析市場規模、佔有率、成長分析,按類型、部署、模式、地區 - 產業預測,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年全球交通分析市場規模為256億美元,從2023年的311.6億美元成長到2031年的1,499.2億美元,複合年成長率預計將維持在21.7%。
在交通擁擠和都市化日益加劇的推動下,智慧型運輸系統(ITS)市場預計將大幅成長,尤其是在新興國家。交通研究所顯示,美國每年消耗超過 30 億加侖的燃料,平均每年在交通中花費 42 小時,凸顯了對高效能交通管理解決方案的迫切需求。隨著人口增加和城市擴張,對交通分析的需求可能會增加,進一步推動市場成長。政府發展智慧城市的努力也將在這項擴張中發揮關鍵作用,美國運輸部在重大基礎建設計劃上投資超過630億美元就是例證。此外,乘用車和商用車數量的增加加劇了交通堵塞,因此分析工具對於最佳化交通流、減少碰撞和提高整體運輸效率至關重要。然而,交通系統對資料分析的日益依賴引起了人們對資料安全和隱私的嚴重擔憂。總體而言,在技術進步和智慧交通解決方案策略投資的推動下,美國交通分析市場未來幾年可能會持續成長。
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.