Asia Pacific Smart Transportation Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2022 –2028 |
 Market Size (Base Year) |
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 Market Size (Forecast Year) |
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 CAGR |
% |
| Major Markets Players |
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>亚太智能交通市场，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、路线信息和路线引导、公共交通、交通枢纽、联网汽车、视频管理、其他）、国家（日本、中国、印度、韩国、澳大利亚、新加坡、马来西亚、泰国、印度尼西亚、菲律宾、亚太其他地区）划分的行业趋势和预测到 2028 年
亚太智能交通市场分析及洞察
亚太智能交通市场预计将在 2021 年至 2028 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 21.3%。
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。
This Asia-Pacific Smart Transportation Market Report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on Smart transportation market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Asia-Pacific Smart Transportation Market Scope and Market Size
The Smart transportation market is segmented on the basis of solution, service, transportation and applications. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of solution, the market is segmented into passenger information solution, traffic management solution, parking management solution, smart ticketing solution, insurance telematics solution and integrated supervision solution. The passenger information solution is sub-segmented into network connectivity and multimedia information & entertainment. The traffic management solution is sub-segmented into route guidance, toll collection & revenue management, smart signaling and predictive traffic analytics. The parking management solution is sub-segmented into ticketing and revenue management, access control, automated parking guidance and slot management.
- On the basis of service, the market is segmented into professional services and cloud services.
- On the basis of transportation, the market is segmented into roadways, railways, waterways and airways.
- On the basis of applications, the market is segmented into mobility as a service, route information and route guidance, public transport, transit hubs, connected cars, video management, others.
Asia-Pacific Smart Transportation Market Country Level Analysis
The smart transportation market is analyzed and market size, volume information is provided by solution, service, transportation and applications as referenced above.
The countries covered in the Cognitive computing market report are China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC).
智能交通市场报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化会影响市场的当前和未来趋势。消费量、生产地点和数量、进出口分析、价格趋势分析、原材料成本、下游和上游价值链分析等数据点是用于预测单个国家市场情景的一些主要指标。此外，在提供国家数据的预测分析时，还考虑了亚太品牌的存在和可用性以及由于来自本地和国内品牌的激烈或稀少的竞争而面临的挑战、国内关税和贸易路线的影响。
亚太智能交通竞争格局及市场份额分析
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、亚太地区业务、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。
智能交通市场报告涵盖的主要参与者包括 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、华为技术有限公司、Intel Corporation、Parsons Corporation 等。DBMR 分析师了解竞争优势并为每个竞争对手分别提供竞争分析。
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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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