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全球车辆智能係统市场 - 2023-2030

Global Vehicle Intelligence Systems Market - 2023-2030

出版日期: 2023年09月11日 | 出版商:

DataM Intelligence | 英文 206 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

全球车辆智能係统市场在2022年达到85亿美元，预计到2030年将达到232亿美元，2023-2030年预测期间复合年增长率为12.3%。

主要增长因素之一是对安全的重视。采用先进的驾驶员辅助功能，例如车道偏离警告、自动紧急制动和使用人工智能和传感器技术的行人检测，可防止事故并减少死亡人数。多家公司开始投资製造无需人工干预即可行驶的自动驾驶汽车。

物联网的普及导致车辆连接性的增加，使车辆能够通过传感器进行通信，其中存在车辆到车辆连接和车辆到基础设施连接。由于连通性将改善交通管理和避免碰撞并提高整体效率。根据西门子的报告，该路口的平均车流量不足15%，交通密度较缓。

预测期内，北美预计将成为全球车辆智能係统市场的主导地区，占市场份额超过1/3。该地区联网车辆和车对万物通信系统的兴起使车辆能够与其他车辆、基础设施、行人和交通管理系统交换信息，其连通性改善了交通流量，减少了事故并提高了整体道路安全。

动力学

政府采用先进技术

政府经常对车辆（包括配备智能和自动化技术的车辆）实施安全法规和标准，这些法规确保车辆智能係统组件（例如防撞系统、自动制动和车道偏离警告系统）满足特定的安全标准，以减少事故和提高道路安全。

例如，2022 年4 月15 日，印度电子和信息技术部推出了三款创新产品，作为印度城市智能交通系统奋进计划第二阶段的一部分，这些产品是通过印度电子和信息技术部发展中心的合作开发的。先进计算、印度马德拉斯理工学院以及工业合作伙伴 Mahindra 和 Mahindra。

该系统采用车载传感器来监控驾驶员的行为和车辆周围环境。它通过实时解释传感器数据为驾驶员提供视觉和声音警报，从而增强道路安全。

公司间的合作与伙伴关係

车辆智能係统通常需要结合软件、硬件和专业知识来创建全面的解决方案。与不同公司合作可以集成各种组件和技术，以提供完整且强大的智能係统。协作可以利用不同合作伙伴的优势来创建定制解决方案。

作为新的全球合作的一部分，Waymo 和沃尔沃汽车集团决定于 2020 年 6 月合作生产一款用于网约车的自动驾驶电动汽车。Waymo 将专注于人工智能和特定技术，如摄像头、激光雷达和雷达，为自动驾驶“司机”服务。沃尔沃将设计和製造这些车辆。

技术进步

自动驾驶技术的发展是车辆智能係统增长的主要驱动力。公司正在研究从驾驶员辅助到全自动驾驶车辆的自动化水平。自动驾驶汽车需要传感器、人工智能算法和精确地图技术的复杂组合。云计算软件允许车辆访问和处理来自云端的数据，从而实现远程诊断和软件更新等服务。

例如，2023 年 8 月 16 日，互联车辆平台公司 Sibros 与嵌入式系统提供商 iWave Systems 合作，加速各种车辆架构的软件定义车辆创新。 Sibros 的无线平台将集成到 iWave 的坚固型远程信息处理设备中，以实现汽车、工业、越野和重型车辆的嵌入式智能。

故障和復杂的製造

车辆智能係统严重依赖软件、传感器和通信网络。这些组件的任何故障或故障都可能导致安全风险、事故或系统错误。确保这些情报系统的可靠性和安全性是一项严峻的挑战。随着车辆变得更加互联和依赖软件，它们变得容易受到网络安全威胁。黑客可能会未经授权访问车辆系统，从而导致安全和隐私风险。

实施车辆智能係统需要復杂的系统，包括传感器、处理器和通信基础设施，这种复杂性可能会导致更高的製造和维护成本，从而可能阻碍广泛采用。许多车辆智能係统功能（例如 V2X 通信）依赖于智能道路和通信网络等强大的基础设施。缺乏此类基础设施可能会阻碍这些系统的全部潜力。

Overview

Global Vehicle Intelligence Systems Market reached US$ 8.5 billion in 2022 and is expected to reach US$ 23.2 billion by 2030, growing with a CAGR of 12.3% during the forecast period 2023-2030.

One of the major growth factors is the emphasis on safety. Adoption of advanced driver assistance like lane departure warning, automatic emergency braking and pedestrian detection using AI and sensor technologies that prevent from accidents and reduce fatalities. Various companies began investing in manufacturing self-driven cars that navigate without human intervention.

The rise in adoption of IoT has led to an increase in vehicle connectivity which enables vehicles to communicate through sensors in which there is vehicle-to-vehicle connectivity and vehicle-to-infrastructure connectivity. As the connectivity will improve traffic management and collision avoidance and improve overall efficiency. According to the report by Siemens, there is less than 15% of average traffic through the intersection and there is ease of traffic density.

During forecast period, North America is expected to be the dominant region in the global vehicle intelligence systems market covering more than 1/3rd of the market. The region has a rise of connected vehicles and Vehicle-to-Everything communication systems that enable vehicles to exchange information with other vehicles, infrastructure, pedestrians and traffic management systems and his connectivity improves traffic flow, reduces accidents and enhances overall road safety.

Dynamics

Adoption of Advanced Technologies by Government

Governments often implement safety regulations and standards for vehicles, including those equipped with intelligence and automation technologies and these regulations ensure that vehicle intelligence systems components, such as collision avoidance systems, automated braking and lane departure warning systems, meet specific safety criteria to reduce accidents and improve road safety.

For instance, on 15 April 2022, the Ministry of Electronics and Information Technology in India launched three innovative products as part of the Intelligent Transportation System Endeavor for Indian Cities Phase-II initiative and these products were developed through a collaboration between the Centre for Development of Advanced Computing, the Indian Institute of Technology Madras and industrial collaborator Mahindra and Mahindra.

The system incorporates vehicle-borne sensors to monitor the driver's behavior and vehicle surroundings. It delivers visual and acoustic alerts for driver assistance by interpreting sensor data in real-time, enhancing road safety.

Collaboration and Partnership Between Companies

Vehicle Intelligence Systems often require a combination of software, hardware and specialized expertise to create comprehensive solutions. Collaborating with different companies allows for the integration of various components and technologies to deliver complete and robust intelligence systems. Collaboration enables the creation of customized solutions by leveraging the strengths of different partners.

As part of a new worldwide collaboration, Waymo and the Volvo Cars Group decided to collaborate on the production of a self-driving electric vehicle for ride-hailing in June 2020. Waymo will focus on artificial intelligence and particular technology, like as cameras, lidar and radar, for the self-driving "driver." Volvo will design and build the vehicles.

Technology Advancement

The development of autonomous driving technology is a major driver of vehicle intelligence systems growth. Companies are working on levels of automation ranging from driver assistance to full self-driving vehicles. Autonomous vehicles require a sophisticated combination of sensors, AI algorithms and precise mapping technology. Cloud computing software allows vehicles to access and process data from the cloud, enabling services like remote diagnostics and software updates.

For instance, on 16 August 2023, connected vehicle platform company Sibros partnered with embedded systems provider iWave Systems to accelerate software-defined vehicle innovation for various vehicle architectures. Sibros' over-the-air platform will be integrated into iWave's Rugged Telematics Device to enable embedded intelligence in automotive, industrial, off-road and heavy-duty vehicles.

Malfunction and Complex Manufacturing

Vehicle intelligence systems heavily rely on software, sensors and communication networks. Any malfunction or failure in these components could lead to safety risks, accidents or system errors. Ensuring the reliability and safety of these intelligence systems is a critical challenge. As vehicles become more connected and reliant on software, they become susceptible to cybersecurity threats. Hackers potentially gain unauthorized access to vehicle systems, leading to risks of safety and privacy.

Implementing vehicle intelligence systems requires intricate systems, including sensors, processors and communication infrastructure and this complexity can lead to higher manufacturing and maintenance costs, which might deter widespread adoption. Many vehicle intelligence systems functionalities, such as V2X communication, depend on robust infrastructure like smart roads and communication networks. The lack of such infrastructure can hinder the full potential of these systems.

Segment Analysis

The global vehicle intelligence systems market is segmented based component, advanced driver assistance and driver monitoring systems, road scene understanding, Vehicle and region.

Adoption of Sensors for Navigation Purposes

During the forecast period, sensors are expected to hold majority of the global market share holding around 30.3% of the market. Sensors contribute majorly to vehicle safety by enabling real-time data access and the implementation of ADAS that use sensors to detect objects, pedestrians and other vehicles. It is also utilized to give a 360-degree view of the surroundings of the car, helping drivers to make better decisions.

On 24 February 2023, Mercedes-Benz and Google announced a partnership that will enhance its vehicle with advanced features and software systems. It also plans to integrate "supercomputers" into its vehicles. Mercedes-Benz partnered with Google for navigation services. Google Maps will be integrated into Mercedes-branded navigation systems, offering drivers real-time traffic information, automatic rerouting and the ability to access Level 3 autonomous driving mode.

Geographical Penetration

Rising Demand for Optimizing Traffic Flow and Collaborations in Asia-Pacific

Asia-Pacific is the fastest growing region in the global vehicle intelligence systems market covering about 1/4th of the market. The region is undergoing rapid urbanization and increasing traffic congestion and these features have a strong demand for vehicle intelligence system technology that optimizes traffic flow, improved road safety and it enhances overall transportation efficiency.

Automotive manufacturers, technology companies and startups are forming partnerships and collaborations that accelerate the development and deployment of intelligence systems. For instance, on 7 August 2023, Great Wall Motor, China's largest sport-utility vehicle assembler, partnered with Baidu, a search and AI giant, to integrate Baidu's AI-powered chatbot tool called Ernie Bot into its vehicles and this partnership aims to enhance the conversation and interaction between drivers and their vehicles.

Competitive Landscape

The major global players in the market include: Continental AG, Denso Corporation, Delphi Automotive, Robert Bosch GmbH, Autoliv Inc., Mobileye, Intel, Nvidia, Tesla and BMW AG.

COVID-19 Impact Analysis

The pandemic disrupted global supply chains, leading to shortages of components and parts needed for manufacturing vehicle intelligence systems and this resulted in delays in production and slowed down the rollout of new vehicles with advanced technologies. Many companies faced challenges in conducting research and development activities due to lockdowns, travel restrictions and remote work arrangements and this could have delayed the progress of new technologies and innovations in vehicle intelligence systems.

The pandemic hindered the ability to conduct real-world testing and validation of vehicle intelligence systems. Restrictions on movement and social distancing measures impacted the collection of data needed to refine and improve these systems. The pandemic led to fluctuations in market demand for vehicles. Economic uncertainty and changing consumer preferences impacted the adoption of advanced technologies, including vehicle intelligence systems.

Some companies temporarily shifted their focus from developing new technologies to addressing immediate challenges posed by the pandemic and this could have redirected resources away from the advancement of vehicle intelligence systems. Remote work arrangements affected collaboration among teams working on vehicle intelligence systems. Developing and integrating complex technologies requires close coordination, which could have been challenging in a remote work environment.

AI Impact

AI is a core technology in enabling autonomous driving capabilities. AI-powered intelligence systems, like computer vision and sensor fusion, allows vehicles to understand and interpret their surroundings. Machine learning algorithms help vehicles make real-time decisions based on complex data inputs from cameras, lidars, radars and other sensors. AI algorithms lead to analyze data from sensors and cameras to provide features like adaptive cruise control, lane-keeping assistance and parking assistance.

AI can analyze data from various vehicle sensors to predict and identify potential mechanical issues before they lead to breakdowns and this predictive maintenance approach reduces downtime, increases vehicle longevity and improves overall operational efficiency. AI-powered NLP enables voice recognition and natural language understanding in vehicles. Drivers and passengers can interact with infotainment systems, navigation and other features using voice commands, making the in-car experience more intuitive and hands-free.

For instance, on 21 August 2023, UAE-based electric car manufacturer NWTN introduced the Rabdan Muse, a luxury smart passenger vehicle, featuring advanced technology suitable for both business and family travel. Unveiled at the Pebble Beach Concours d'Elegance in California, the Muse offers autonomous driving capabilities, AI integration and personalized lifestyle features.

Russia- Ukraine War Impact

The conflict may disrupt supply chains that provide critical components and materials for VIS manufacturing and this could lead to shortages and delays in production, affecting the availability of vehicles equipped with advanced intelligence systems. Companies in the region directly affected by the conflict may face challenges in conducting research and development activities. Resources that would have been allocated to innovation and technology advancement could be diverted to address more immediate concerns related to the conflict.

The geopolitical tensions and economic instability resulting from the conflict could create uncertainty in the market and this uncertainty might impact consumer demand for vehicles and their associated technology, including VIS. Governments and industries in the affected regions might need to prioritize resources for national security and recovery efforts and this could result in reduced investments and attention allocated to the development and deployment of VIS.

By Component

Sensor
Analog ICs
Processor
Memory

By Advanced Driver Assistance and Driver Monitoring Systems

Adaptive Cruise Control System
Blind Spot Detection System
Park Assist System
Traffic Jam Assit Systems
Drowsiness Monitoring

By Road Scene Understanding

Road/Lane Tracking System
Road Sign Detection System
Night Vision System
Pedestrian Detection System

By Vehicle

Passenger Cars
Commercial Vehicles

By Region

North America
- U.S.
- Canada
- Mexico

Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe

South America
- Brazil
- Argentina
- Rest of South America

Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific

Middle East and Africa

Key Developments

On 12 April 2023, BYD, a prominent global manufacturer of new energy vehicles introduced its first self-developed intelligent body control system, known as the DiSus Intelligent Body Control System and this system represents a significant milestone for BYD, solidifying its pioneering position in the industry.
On 28 June 2023, ZTE Corporation and Tianyi Transportation Technology unveiled the industry's first 5G+ intelligent connected vehicle system with Vehicle-Road-Cloud integration at the Mobile World Congress Shanghai 2023 and this collaboration aims to enhance the capabilities of autonomous driving through comprehensive whole-road perception and collaborative decision-making.
On 4 July 2023, Antolin is spearheading the GENIUS project, an innovative venture in Artificial Intelligence aimed at enhancing the user experience during journeys. the GENIUS project will employ sensors within the vehicle cabin, connected to intelligent systems, to interpret users' cognitive and emotional states.

Why Purchase the Report?

To visualize the global vehicle intelligence systems market segmentation based on component, advanced driver assistance and driver monitoring systems, road scene understanding, vehicle and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of vehicle intelligence systems market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global vehicle intelligence systems market report would provide approximately 69 tables, 70 figures and 206 pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Advanced Driver Assistance and Driver Monitoring Systems
3.3. Snippet by Road Scene Understanding
3.4. Snippet by Vehicle
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Adoption of Advanced Technologies by Government
  - 4.1.1.2. Collaboration and Partnership Between Companies
  - 4.1.1.3. Technology Advancement
- 4.1.2. Restraints
  - 4.1.2.1. Malfunction and Complex Manufacturing
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Sensor*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Analog ICs
7.4. Processor
7.5. Memory

8. By Advanced Driver Assistance and Driver Monitoring Systems

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Advanced Driver Assistance and Driver Monitoring Systems
- 8.1.2. Market Attractiveness Index, By Advanced Driver Assistance and Driver Monitoring Systems
8.2. Adaptive Cruise Control System*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Blind Spot Detection System
8.4. Park Assist System
8.5. Traffic Jam Assit Systems
8.6. Drowsiness Monitoring

9. By Road Scene Understanding

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Road Scene Understanding
- 9.1.2. Market Attractiveness Index, By Road Scene Understanding
9.2. Road/Lane Tracking System*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Road Sign Detection System
9.4. Night Vision System
9.5. Pedestrian Detection System

10. By Vehicle

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.1.2. Market Attractiveness Index, By Vehicle
10.2. Passenger Cars*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Commercial Vehicles

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Advanced Driver Assistance and Driver Monitoring Systems
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Road Scene Understanding
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.7.1. U.S.
  - 11.2.7.2. Canada
  - 11.2.7.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Advanced Driver Assistance and Driver Monitoring Systems
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Road Scene Understanding
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.7.1. Germany
  - 11.3.7.2. UK
  - 11.3.7.3. France
  - 11.3.7.4. Italy
  - 11.3.7.5. Russia
  - 11.3.7.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Advanced Driver Assistance and Driver Monitoring Systems
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Road Scene Understanding
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.7.1. Brazil
  - 11.4.7.2. Argentina
  - 11.4.7.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Advanced Driver Assistance and Driver Monitoring Systems
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Road Scene Understanding
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.7.1. China
  - 11.5.7.2. India
  - 11.5.7.3. Japan
  - 11.5.7.4. Australia
  - 11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Advanced Driver Assistance and Driver Monitoring Systems
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Road Scene Understanding
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. Continental AG*
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. Denso Corporation
13.3. Delphi Automotive
13.4. Robert Bosch GmbH
13.5. Autoliv Inc.
13.6. Mobileye
13.7. Intel
13.8. Nvidia
13.9. Tesla
13.10. BMW AG

LIST NOT EXHAUSTIVE

14. Appendix

14.1. About Us and Services
14.2. Contact Us

02-2729-4219

+886-2-2729-4219

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