Artificial Intelligence in Transportation Market Forecast by 2031
预计 2023 年至 2031 年期间,交通运输市场的人工智能复合年增长率将达到 16.5%。机器学习技术的进步和人工智能与车辆的集成可能仍是市场的主要趋势。
交通运输人工智能市场分析
- 由于交通运输行业对人工智能的消费不断增加,交通运输人工智能市场正在经历巨大的增长。由于自动化技术中人工智能的不断进步,学习技术自动化的消费急剧增加。
- 产品创新的整合预计将推动未来几年交通运输领域对人工智能的需求增长。此外,由于具有智能集成功能的自动驾驶汽车的进步,未来几年全球交通运输人工智能市场将呈指数级增长,北美预计将继续保持其在交通运输人工智能市场中最大的份额。
- 全球运输市场中的人工智能也得到了自动驾驶卡车投资增加和监管发展的支持。这使得运输人工智能市场非常有利可图,利益相关者可以从运输市场中人工智能的巨大潜力中获益。
交通运输人工智能市场概览
- 预计未来几年,交通运输市场的人工智能将呈现显著增长。交通运输领域大量采用人工智能技术是促进交通运输市场人工智能增长的主要因素。自动驾驶汽车、自动化技术、停车和车道变换辅助系统、智能能源系统等是交通运输行业必须采用的一些技术,因为它们的提供可以帮助公司节省时间和成本。
- 安全和保障在吸引消费者方面发挥着至关重要的作用,也是交通运输人工智能市场的主要驱动力之一。在当今世界,制造商面临着降低运营成本的压力。商业组织正在将重点从白日梦转向实际应用,并了解交通运输中的人工智能对于降低成本和提高效率的重要性,这一举措预计将推动交通运输市场人工智能的增长。
战略洞察
交通运输中的人工智能市场驱动因素和机遇
自动化技术进步推动交通运输业对人工智能的需求,利好市场
- 交通运输对人工智能的需求不断增长,主要得益于自动化技术的进步。这些技术正在推动整个交通运输领域对人工智能的使用日益增多。
- 推动市场发展的主要因素包括采用计算机视觉和机器学习等先进技术,例如,更智能的技术正在监控和重新设计交通的未来,优先考虑乘客的安全,减少道路事故和交通拥堵;大数据和机器学习可提高安全标准和运营效率。例如,基于人工智能的解决方案减少了道路事故的数量,改善了交通管理和安全措施。
- 此外,自动化和效率是交通运输对人工智能需求不断增长的两个主要因素。一方面,人工智能是一种可以帮助实现交通运输日常业务活动的自动化和改进的技术。
卡车排队的概念
- 交通运输领域自动化程度的提高为人工智能带来了增长机会——交通运输市场人工智能技术可以通过特斯拉自动驾驶仪同时协助人类和机器驾驶员,从而改变自动驾驶汽车的格局。为了提供这种帮助,所有形式的自动驾驶汽车都必须首先配备先进的人工智能技术,使它们能够“看到”道路上的情况,理解相应的动作(例如手势和标志),并对这些情况做出反应。使用人工智能生成的规则和行为是使车辆能够自主运行的关键支持技术。
- 此外,人工智能有望使先进的决策系统能够以精简的方式穿越交通,并更轻松地规划路线。此外,高度智能的自主交通管理解决方案可以提高交通系统的流动性和可靠性。有了这些元素的发挥作用,我们可以期待无缝的交通体验。
交通运输人工智能市场报告细分分析
有助于得出交通运输市场人工智能分析的关键部分是机器学习技术、应用和流程。
- 基于机器学习技术,交通运输市场的人工智能分为深度学习、计算视觉和其他。
- 根据应用,市场分为半自动驾驶汽车、自动驾驶汽车、HMI 和其他。
- 根据流程,交通运输市场的人工智能分为数据挖掘、图像识别和信号识别。
交通运输领域人工智能市场份额地域分析
- 交通运输市场人工智能报告包括对五大地理区域的详细分析,包括当前和历史市场规模以及 2021 年至 2031 年的预测,涵盖北美、欧洲、亚太地区 (APAC)、中东和非洲 (MEA) 以及南美。APAC), Middle East and Africa (MEA), and South America.
- 每个地区进一步细分为各个国家。本报告提供 18 个国家的分析和预测,涵盖交通运输市场动态中的人工智能,例如影响区域市场的驱动因素、趋势和机会。
- 此外,该报告还涵盖了 PEST 分析,其中涉及影响这些地区交通运输市场人工智能的主要因素的研究。
交通运输市场人工智能报告范围
交通运输市场人工智能新闻和最新发展
通过收集初步和二次研究后的定性和定量数据来评估运输市场的人工智能,其中包括重要的公司出版物、协会数据和数据库。以下列出了运输市场人工智能的一些发展:
- 亚马逊公司推出了新的人工智能技术,可以检查送货车并帮助确保司机安全。(来源:Amzaon.com, Inc.,新闻稿,公司网站,2023 年 10 月)
- 美国交通部拨款 1500 万美元联邦资金,用于帮助小型企业利用 AI 系统和新应用为美国交通运输行业服务。(来源:美国交通部政府网站)
- Windracers 是一家总部位于英国的全球货运车辆运营商,与普渡大学合作成立了数字、自动驾驶和增强航空人工智能中心。此次合作旨在创新未来的自动驾驶航空运输模式。(来源:普渡大学,大学网站,2024 年 4 月)
交通运输市场人工智能报告范围和交付成果
“交通运输市场人工智能规模及预测(2021-2031)”报告对以下领域进行了详细的市场分析:
- 运输领域人工智能的市场规模以及范围涵盖的所有关键细分市场的全球、区域和国家层面的预测
- 交通运输市场趋势中的人工智能以及驱动因素、限制因素和关键机遇等市场动态
- 详细的 PEST/波特五力分析和 SWOT 分析
- 交通运输市场人工智能分析涵盖主要市场趋势、全球和、主要参与者、法规和最新市场发展
- 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者以及运输市场人工智能的最新发展
- 详细的公司简介
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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to country scope.
Frequently Asked Questions
The demand for AI in transportation owing to the advancement in automation technology is the major factors driving the artificial intelligence in transportation market.
Advancements in machine learning technology and the integration of AI in vehicles is the key future trend in the global artificial intelligence in transportation market in the coming years.
The leading players operating in the artificial intelligence in transportation market include Bosch, Alphabet, Daimler, Magna, Man Energy Solutions, Scanea, Valeo, Volvo, Xevo, and ZF.
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request.
Some of the customization options available based on the request are an additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.
The global artificial intelligence in transportation market is expected to grow at a CAGR of 16.5% during the forecast period 2023 - 2031.
The List of Companies
1. Accenture PLC
2. Amazon Web Services, Inc.
3. door2door GmbH
4. General Electric Company
5. IBM Corporation
6. Intel Corporation
7. KONUX GmbH
8. Microsoft Corporation
9. Nvidia
10. Volvo Group
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