北美预测车辆技术市场预测至 2027 年 - 按硬件（ADAS、远程信息处理和 OBD）、车辆类型（商用车和乘用车）、应用程序（主动警报和安全保障）和国家/地区划分的 COVID-19 影响和区域分析
No. of Pages: 108 | Report Code: TIPRE00012826 | Category: Automotive and Transportation
No. of Pages: 108 | Report Code: TIPRE00012826 | Category: Automotive and Transportation
市场介绍
目前，汽车行业正在经历各种先进技术的大规模融合在汽车中提高乘员的安全性和效率。汽车制造商正在利用人工智能 (AI) 和机器学习 (ML) 来了解驾驶员的模式和趋势，并提高车辆的安全性。这两种技术都已准备好成为未来车辆和汽车行业的重要组成部分。在联网汽车和自动驾驶汽车的竞争中，预测性汽车技术正在获得所有汽车类型的认可，这为驾驶员和乘客提供了显着的便利。因此，汽车制造商正集中精力在支持语音命令的车辆中采用联网设备和物联网。因此，在重型车辆中越来越多地使用预测性动力总成控制可以规定未来几年预测性车辆技术的发展，这最终将导致预测性车辆技术市场的增长。最近的 COVID-19 在北美地区造成了非常严重的破坏。与加拿大和墨西哥相比，美国的冠状病毒确诊病例数较多。确诊病例数量的快速增加和死亡人数的增加可能会影响该地区的企业经营。由于该地区爆发了 COVID-19，供应链和销售受到影响。除此之外，整体制造流程、研发活动也会在短期内受到影响。
市场概况与动态 ;
北美预测汽车技术市场预计将从2019年的390万美元增长到2027年的852万美元；预计 2020 年至 2027 年复合年增长率为 12.68%。在联网汽车领域追求的普遍机会是数据管理。联网汽车正在将大量数据传输到云端，因此为了利用大量数据，对预测分析和数据分析的需求不断增长。预测性维护、预测性防撞、汽车营销、汽车营销和联网汽车数据管理是推动市场增长的一些不断发展的概念。敦促确认联网汽车中正确的数据管理将帮助预测车辆技术市场急剧增长。
关键细分市场
从硬件来看，2019年北美预测性车辆技术市场中，ADAS细分市场占据最大份额；从车型来看，乘用车细分市场在预测性车辆技术市场中占有较大份额2019 年市场。此外，2019 年，基于最终用户，安全和安保领域占据了更大的市场份额。
主要来源和上市公司< /u>
准备这份北美预测汽车技术市场报告时提到的一些主要的一手和二手来源是公司网站、年度报告、财务报告、国家政府文件、统计数据库等。报告中列出的主要公司包括爱信精机有限公司、Aptiv PLC、Continental AG、HELLA GmbH and Co. KGaA、NXP SEMICONDUCTORS NV、Robert Bosch GmbH、Valeo、Visteon Corporation 和 ZF Friedrichshafen AG 等。
购买报告的理由
北美预测车辆技术细分
按硬件划分
按车辆类型
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按国家/地区
公司简介
Strategic insights for North America Predictive Vehicle Technology involve closely monitoring industry trends, consumer behaviours, and competitor actions to identify opportunities for growth. By leveraging data analytics, businesses can anticipate market shifts and make informed decisions that align with evolving customer needs. Understanding these dynamics helps companies adjust their strategies proactively, enhance customer engagement, and strengthen their competitive edge. Building strong relationships with stakeholders and staying agile in response to changes ensures long-term success in any market.
| Report Attribute | Details |
|---|---|
| Market size in 2019 | US$ 3.90 Million |
| Market Size by 2027 | US$ 8.52 Million |
| Global CAGR (2020 - 2027) | 12.68% |
| Historical Data | 2017-2018 |
| Forecast period | 2020-2027 |
| Segments Covered |
By 硬件
|
| Regions and Countries Covered | 北美
|
| Market leaders and key company profiles |
The regional scope of North America Predictive Vehicle Technology refers to the geographical area in which a business operates and competes. Understanding regional nuances, such as local consumer preferences, economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved regions or adapting their offerings to meet regional demands. A clear regional focus allows for more effective resource allocation, targeted marketing, and better positioning against local competitors, ultimately driving growth in those specific areas.
The North America Predictive Vehicle Technology Market is valued at US$ 3.90 Million in 2019, it is projected to reach US$ 8.52 Million by 2027.
As per our report North America Predictive Vehicle Technology Market, the market size is valued at US$ 3.90 Million in 2019, projecting it to reach US$ 8.52 Million by 2027. This translates to a CAGR of approximately 12.68% during the forecast period.
The North America Predictive Vehicle Technology Market report typically cover these key segments-
The historic period, base year, and forecast period can vary slightly depending on the specific market research report. However, for the North America Predictive Vehicle Technology Market report:
The North America Predictive Vehicle Technology Market is populated by several key players, each contributing to its growth and innovation. Some of the major players include:
The North America Predictive Vehicle Technology Market report is valuable for diverse stakeholders, including:
Essentially, anyone involved in or considering involvement in the North America Predictive Vehicle Technology Market value chain can benefit from the information contained in a comprehensive market report.
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