>拉丁美洲智能交通市场，按解决方案（交通管理解决方案、乘客信息解决方案、智能票务解决方案、停车管理解决方案、综合监管解决方案、保险远程信息处理解决方案）、服务（云服务、专业服务）、运输方式（公路、铁路、航空、水路）、应用（移动即服务、路线信息和路线指引、公共交通、交通枢纽、联网汽车、视频管理、其他）、行业趋势和预测到 2029 年。
拉丁美洲智能交通市场的市场分析和见解
智能交通市场预计将在 2022 年至 2029 年的预测期内实现市场增长。Data Bridge Market Research 分析该市场在上述预测期内的复合年增长率为 10.4%。
智能交通主要收集数据并控制实时状况，以提高性能。它配备了基于智能交通系统(ITS) 的应用程序，并与物联网 (IoT) 垂直技术无线连接。它用于各种应用，例如移动即服务、公共交通、交通枢纽、路线信息和路线指引、联网汽车、视频管理等。
车辆使用量增加导致停车问题增加，全球对高效交通的需求增加等因素预计将成为加速智能交通市场增长的重要因素。除此之外，数据通信、移动性、云和传感器等领域的快速发展共同构成了物联网架构，将进一步加剧智能交通市场的增长。然而，解决方案缺乏标准化和统一性可能会导致兼容性问题，从而限制市场的增长。
半自动和自动驾驶汽车的快速发展和重大技术进步预计将为智能交通市场创造丰厚的商机。欠发达国家缺乏互联网普及率以及对现有交通行业基础设施改善的高额投资将对智能交通市场构成挑战。
本智能交通市场报告详细介绍了最新发展、贸易法规、进出口分析、生产分析、价值链优化、市场份额、国内和本地市场参与者的影响，分析了新兴收入领域的机会、市场法规的变化、战略市场增长分析、市场规模、类别市场增长、应用领域和主导地位、产品批准、产品发布、地域扩张、市场技术创新。如需了解有关智能交通市场的更多信息，请联系 Data Bridge Market Research 获取分析师简报，我们的团队将帮助您做出明智的市场决策，实现市场增长。
拉丁美洲智能交通市场范围和规模
智能交通市场根据解决方案、服务、交通和应用进行细分。不同细分市场之间的增长有助于您了解预计会在整个市场普遍存在的不同增长因素，并制定不同的策略来帮助确定核心应用领域和目标市场的差异。
- 根据解决方案，市场细分为乘客信息解决方案、交通管理解决方案、停车管理解决方案、智能票务解决方案、保险远程信息处理解决方案和综合监管解决方案。乘客信息解决方案细分为网络连接和多媒体信息与娱乐。交通管理解决方案细分为路线引导、收费和收入管理、智能信号和预测交通分析。停车管理解决方案细分为票务和收入管理、门禁、自动停车引导和时隙管理。
- 根据服务，市场分为专业服务和云服务。
- 根据运输方式，市场分为公路、铁路、水路和航空。
- 根据应用，市场细分为移动服务、路线信息和路线指引、公共交通、交通枢纽、联网汽车、视频管理等。
竞争格局和拉丁美洲智能交通市场份额分析
智能交通市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、收入、市场潜力、研发投资、新市场计划、拉丁美洲业务、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对智能交通市场的关注有关。
Some of the major players operating in the smart transportation market report are Kapsch Traffic Com AG, Thales Group, Alstom, Schneider Electric, Siemens, MSR-Traffic GmbH., Cubic Corporation, atkinsglobal, Cisco, Accenture, IBM India Pvt Ltd, LG CNS, Indigo, Toshiba Corporation, Oracle, SAP, Huawei Technologies Co., Ltd., Intel Corporation, and Panasonic Corporation among others.
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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