首頁 > 市場調查報告書 > 汽車工業

汽車電子人工智能

市場調查報告書

商品編碼

1347993

全球車輛智慧系統市場 - 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個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

概述

全球車輛智慧系統市場在2022年達到85億美元，預計到2030年將達到232億美元，2023-2030年預測期間年複合成長率為12.3%。

主要成長因素之一是對安全的重視。採用先進的駕駛員輔助功能，例如車道偏離警告、自動緊急制動和使用人工智慧和感測器技術的行人檢測，可防止事故並減少死亡人數。多家公司開始投資製造無需人工干涉即可行駛的自動駕駛汽車。

物聯網的普及導致車輛連接性的增加，使車輛能夠通過感測器進行通訊，其中存在車輛到車輛連接和車輛到基礎設施連接。由於連通性將改善交通管理和避免碰撞並提高整體效率。根據西門子的報告，該路口的平均車流量不足15%，交通密度較緩。

預測期內，北美預計將成為全球車輛智慧系統市場的主導地區，佔市場佔有率超過1/3。該地區聯網車輛和車對萬物通訊系統的興起使車輛能夠與其他車輛、基礎設施、行人和交通管理系統交換資訊，其連通性改善了交通流量，減少了事故並提高了整體道路安全。

動力學

政府採用先進技術

政府經常對車輛（包括配備智慧和自動化技術的車輛）實施安全法規和標準，這些法規確保車輛智慧系統組件（例如防撞系統、自動制動和車道偏離警告系統）滿足特定的安全標準，以減少事故和提高道路安全。

例如，2022 年4 月15 日，印度電子和資訊技術部推出了三款創新產品，作為印度城市智慧交通系統奮進計劃第二階段的一部分，這些產品是通過印度電子和資訊技術部發展中心的合作開發的。先進計算、印度馬德拉斯理工學院以及工業合作夥伴 Mahindra 和 Mahindra。

該系統採用車載感測器來監控駕駛員的行為和車輛周圍環境。它通過即時解釋感測器數據為駕駛員提供視覺和聲音警報，從而增強道路安全。

公司間的合作與夥伴關係

車輛智慧系統通常需要結合軟體、硬體和專業知識來創建全面的解決方案。與不同公司合作可以整合各種組件和技術，以提供完整且強大的智慧系統。協作可以利用不同合作夥伴的優勢來創建客製化解決方案。

作為新的全球合作的一部分，Waymo 和沃爾沃汽車集團決定於 2020 年 6 月合作生產一款用於網約車的自動駕駛電動汽車。Waymo 將專注於人工智慧和特定技術，如鏡頭、雷射雷達和雷達，為自動駕駛“動力”服務。沃爾沃將設計和製造這些車輛。

技術進步

自動駕駛技術的發展是車輛智慧系統成長的主要驅動力。公司正在研究從駕駛員輔助到全自動駕駛車輛的自動化水平。自動駕駛汽車需要感測器、人工智慧算法和精確地圖技術的複雜組合。雲端運算軟體允許車輛訪問和處理來自云端的數據，從而實現遠程診斷和軟體更新等服務。

例如，2023 年 8 月 16 日，互聯車輛平台公司 Sibros 與嵌入式系統提供商 iWave Systems 合作，加速各種車輛架構的軟體定義車輛創新。 Sibros 的無線平台將整合到 iWave 的堅固型遠程資訊處理設備中，以實現汽車、工業、越野和重型車輛的嵌入式智慧。

故障和複雜的製造

車輛智慧系統嚴重依賴軟體、感測器和通訊網路。這些組件的任何故障或故障都可能導致安全風險、事故或系統錯誤。確保這些情報系統的可靠性和安全性是一項嚴峻的挑戰。隨著車輛變得更加互聯和依賴軟體，它們變得容易受到網路安全威脅。駭客可能會未經授權訪問車輛系統，從而導致安全和隱私風險。

實施車輛智慧系統需要複雜的系統，包括感測器、處理器和通訊基礎設施，這種複雜性可能會導致更高的製造和維護成本，從而可能阻礙廣泛採用。許多車輛智慧系統功能（例如 V2X 通訊）依賴於智慧道路和通訊網路等強大的基礎設施。缺乏此類基礎設施可能會阻礙這些系統的全部潛力。

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