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感測器

市場調查報告書

商品編碼

1644424

自動駕駛汽車中的感測器融合 -市場佔有率分析、行業趨勢和統計、成長預測（2025-2030 年）

Sensor Fusion in Autonomous Vehicles - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年01月05日 | 出版商:

Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預測期內，自動駕駛汽車感測器融合市場預計將實現 19.6% 的複合年成長率

關鍵亮點

解決感測器之間的衝突、同步感測器、預測物體的未來位置以及實現自動駕駛的安全要求是自動駕駛汽車應用中感測器融合的一些關鍵目標。據世界經濟論壇稱，到 2035 年，預計每年全自動駕駛汽車的銷量將超過 1,200 萬輛。自動駕駛汽車將佔全球汽車市場的25%。據英特爾稱，每輛自動駕駛汽車平均每天會產生Terabyte的資料。感測器融合解決方案在即時利用如此大量資料發揮關鍵作用。
隨著ADAS的發展，擴大採用GPS-IMU（慣性測量單元）融合原理，有助於解決航位推算在絕對位置測量區間內累積的誤差。特斯拉的自動駕駛功能「Autopilot」就是 ADAS 的一個例子，它可以執行諸如透過使用從前置攝影機和感測器收集的資料來計算車輛的精確位置，使車輛保持在高速公路上車道的中央等功能。
汽車和軟體公司之間的合作是市場上的普遍趨勢。例如，2021年4月，LiDAR感測器供應商RoboSense與智慧汽車作業系統及夥伴關係供應商斑馬網路科技、中國領先的機器人計程車業者AutoX達成合作，共同打造智慧汽車高階自動駕駛平台。此次夥伴關係旨在推動智慧駕駛座和自動駕駛系統的整合，主要透過人工智慧功能、硬體和軟體的整合。
全球各地嚴格的政府監管也刺激了所調查市場對產品的需求。例如，歐洲新車評估計畫 (Euro NCAP) 要求至少包含一個駕駛輔助系統。日本、美國等國家也在其國家 NCAP 法規中採用了類似的標準。
人們對自動駕駛技術的安全擔憂日益加劇，這不僅可能限制自動駕駛汽車的採用，而且還會對感測器融合解決方案的可靠性提出質疑。標準化是阻礙感測器融合系統發展的因素之一。如果沒有全球標準，設備和積體電路的複雜性預計會呈指數級成長。
新冠肺炎疫情對全球汽車產業影響日益嚴重。由於戶外活動減少，汽車需求在疫情初期急劇下降。此外，汽車零件供應減少和生產設施停產導致汽車製造商的營運資金減少，從而推遲或減少了對新技術的投資。然而，隨著汽車產業從疫情中復甦，感測器融合解決方案供應商正面臨新的機會。

自動駕駛汽車感測器融合的市場趨勢

乘用車佔很大市場佔有率

由於對具有高階功能的汽車的需求不斷成長，乘用車製造商對開發自動駕駛汽車的興趣日益濃厚。汽車製造商、科技公司和研究人員正在不斷致力於進一步開發自動駕駛汽車的基礎技術。由於這些車輛配備了可收集大量資料的多個感測器，因此感測器融合已成為理想的解決方案，使供應商能夠智慧地利用感測器資料。
近年來，乘用車產銷持續上升。雖然疫情造成了影響，但其影響是短期的，預計將成為未來幾年的驅動力。這些趨勢預計將成為市場成長的主要驅動力。
自動駕駛汽車的關鍵方面之一是路徑規劃。感測器融合在這裡起著關鍵作用，透過結合感測器讀數來準確了解車輛的狀態並預測周圍物體的軌跡。因此，隨著未來自動駕駛乘用車銷售量的增加，採用率也可能會增加。
此外，自動緊急煞車 (AEB) 是一種增強型主動式安全系統，可協助駕駛避免或減輕與其他車輛和弱勢道路使用者的碰撞。通常需要多個感測器來提供準確、可靠和穩定的檢測，同時最大限度地減少誤報。隨著安全性成為汽車產業，尤其是乘用車領域日益突出的問題，AEB 系統的採用正在增加，這預計將對感測器融合系統的需求產生積極影響。

北美保持較大市場佔有率

北美是世界上最大的汽車製造地之一。該地區的經濟成長影響了乘用車和商用車的銷售。美國是北美地區主要的汽車製造國之一，除了國內消費量高之外，也向全球出口汽車。例如，根據美國國際貿易委員會的數據，2021年輕型車出口量達1,619,350輛。
該地區也是採用 ADAS 車輛和自動運輸解決方案的先驅之一。根據德意志銀行預測，2021年美國ADAS產量將達1,845萬台。 ADAS（高級駕駛輔助系統）可以支援主動車距控制巡航系統（ACC）、自動緊急煞車（AEB）、車道偏離、盲點偵測、360°環景顯示等，並且由於在設計ADAS系統時使用了大量感測器，這些趨勢預計將推動該國對感測器融合解決方案的需求。
根據ITA統計，加拿大是北美第二大汽車市場，進口車約佔新車市場的四分之三。 2021年乘用車進口額年增與前一年同期比較26%至278億美元。中國對自動駕駛汽車的接受度正在顯著提高，這鼓勵了汽車製造商加大投資。例如，特斯拉、優步、豐田、寶馬、通用和日產等科技公司和汽車製造商正在競相為加拿大消費者開發自動駕駛汽車。
此外，依靠強大的先進感測技術（包括多個LiDAR）來安全行駛在複雜城市環境中的 Robotaxis 尚未實現這一目標。儘管如此，Waymo、Cruise 和 Uber 仍在美國大力投資並經營實驗車隊。

自動駕駛汽車感測器融合產業概覽

自動駕駛汽車感測器融合市場競爭較為激烈，既有博世、義法半導體、恩智浦半導體等大型企業，也有專門從事此技術的新參與企業。供應商越來越注重開發技術以支援未來的自動駕駛汽車並使其更加實惠。

2022 年 10 月 -美國領先的汽車感測器解決方案供應商MicroVision 在布魯塞爾的 AutoSens 2022 展會上推出了其動態視圖雷射雷達系統 MAVIN DR。 MAVIN DR LiDAR系統的特點是動態視野。它具有低延遲的高解析度，使新 ADAS 安全功能的設計人員能夠提供OEM所需的正確的高速公路駕駛功能。

2022 年 4 月－大眾汽車集團旗下軟體公司 CARIAD 收購感測器資料融合Intenta GmbH 的汽車部門。此次收購符合該公司大幅擴大其在軟體和硬體開發方面的垂直價值創造的策略，使其能夠內部開發關鍵軟體元件並提高其在關鍵開發領域的附加價值深度。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月的分析師支持

Key Highlights

Resolving contradictions between sensors, synchronizing sensors, predicting the future positions of objects, and achieving automated driving safety requirements are some of the primary objectives of sensor fusion in an autonomous vehicle application. According to the World Economic Forum, more than 12 million fully autonomous cars are expected to be sold annually by 2035. Autonomous vehicles will account for 25% of the global automotive market. According to Intel, a single autonomous vehicle can generate an average of 4 terabytes of data per day. Sens fusion solutions can play a significant role in utilizing this massive data in real time.
The growing development in ADAS and increasing utilization of the principle of GPS-IMU (Inertial Measurement Unit) fusion helps solve accumulated errors of dead reckoning in intervals with absolute position readings. Tesla's Autopilot automated driving feature is an example of an ADAS that can perform functions such as keeping the vehicle center in a highway lane by determining its precise position from data collected from a forward-facing camera and sensors.
Collaboration between automotive and software companies is a common trend in the market. For instance, in April 2021, RoboSense, a lidar sensor provider, formed a partnership with Banma Network Technology, an intelligent automobile operating system and solution provider, and AutoX, China's leading robotaxi operator, to build a high-level autonomous driving platform for intelligent vehicles. The partnership was established primarily to promote the integration of intelligent cockpits with autonomous driving systems through the fusion of AI Capabilities, hardware, and software.
Stringent government regulations globally also fuel the demand for the products in the market studied. For instance, Euro NCAP (European New Car Assessment Program) mandates the deployment of at least one driver assistance system. Countries like Japan and the United States also adopt similar criteria in their national NCAP rules.
The growing safety issue of autonomous technology can not only limit the adoption of autonomous vehicles but could claim the authenticity of sensor fusion solutions. Standardization is one of the factors hindering the evolution of sensor fusion systems. Without global standards, the level of complexity of devices and ICs is expected to increase exponentially.
The COVID-19 outbreak increasingly affected the automotive sector globally. Due to reduced outdoor activities, the demand for automobiles declined significantly, primarily during the initial phase of the pandemic. Furthermore, the reduced supply of automotive parts and shutdown of production facilities fell the working capital of automobile manufacturers, resulting in a delay or reduction in investments in new technologies. However, with the automotive sector recovering from the pandemic, new opportunities are on the horizon for sensor fusion solution providers.

Autonomous Vehicles Sensor Fusion Market Trends

Passenger Cars to Hold a Significant Market Share

There is an increasing interest among passenger car makers in developing autonomous cars, owing to the growing demand for vehicles with premium features. Car manufacturers, technology companies, and researchers are continuously working on further developing the technologies behind the autonomous car. As these vehicles include multiple sensors that gather massive amounts of data, sensor fusion emerged as an ideal solution to enable vendors to use the sensor data intelligently.
Recent years have witnessed an upward growth trend in passenger vehicle sales. Although the pandemic affected the growth, the impact is more in the short term, which is expected to gain traction in the next few years. Such trends are expected to act as a significant driving factor for the growth of the studied market.
One crucial aspect of autonomous vehicles is path planning. Sensor fusion plays an essential role here by integrating the sensor readings to construct a precise picture of the vehicle's state and predict the trajectories of the surrounding objects. Hence, the adoption would increase with the increase in passenger car sales, which are autonomous in the coming times.
Furthermore, Autonomous Emergency Braking (AEB) is an enhanced active safety system that helps drivers avoid or mitigate collisions with other vehicles or vulnerable road users. Multiple sensors are often needed for accurate, reliable, and robust detections while minimizing false positives. With safety becoming an increasingly important issue in the automotive industry, especially in the passenger vehicle segment, the increasing adoption of AEB systems is expected to impact the demand for sensor fusion systems positively.

North America to Retain a Significant Market Share

North America is among the largest automotive manufacturing hubs in the world. The economic growth of the region posed an impact on the sale of passenger cars and commercial vehicles. The United States is among the leading automobile manufacturers in the North American region; apart from high domestic consumption, the country also exports automobiles globally. For instance, according to the US International Trade Commission, the export volume of light vehicles reached 1,619.35 thousand units in 2021.
The region is also among the pioneers in adopting ADAS-enabled vehicles and self-driven transportation solutions. According to Deutsche Bank, the US ADAS unit production volume was forecasted to reach 18.45 million by 2021. ADAS (advanced driver-assistance systems) is capable of supporting adaptive cruise control (ACC), automatic emergency braking (AEB), lane departure, blind-spot detection, 360° surround view, etc., as a lot of sensors are used in designing the ADAS systems, such trends are expected to drive the demand for sensor fusion solutions in the country.
According to ITA, Canada is the second largest automotive market in the North American region, where imports represent about three-quarters of the new vehicles market. In 2021, the import value of passenger vehicles increased by about 26% (compared to the last year) to USD 27.8 billion. The country's acceptance of autonomous cars is growing significantly, encouraging automobile manufacturers to increase their investment. For instance, tech and motor companies like Tesla, Uber, Toyota, BMW, GM, and Nissan are all in the race to develop autonomous vehicles for Canadian consumers.
Furthermore, Robotaxis (relying on a powerful array of advanced sensing technologies that include multiple LiDARs to maneuver complex urban environments safely) is not quite here. Still, Waymo, Cruise, and Uber are investing heavily in and operating experimental fleets in the United States, which is expected to create future opportunities.

Autonomous Vehicles Sensor Fusion Industry Overview

The Sensor Fusion Market in Autonomous Vehicles is moderately competitive, owing to the mixed presence of both large-scale companies, such as Bosch, STMicroelectronics, and NXP Semiconductors NV, as new players specifically focused on this technology. The vendors are increasingly focusing on developing the technology to prepare it for future autonomous vehicles and make it affordable.

October 2022 - MicroVision, a leading American automotive sensor solution provider, unveiled MAVIN DR, a dynamic view lidar system, at the AutoSens 2022 Show in Brussels. The MAVIN DR lidar system features a dynamic field of view. It delivers high resolution with low latency, enabling new ADAS safety feature designers to achieve the proper highway-pilot functionality that OEMs demand.

April 2022 - CARIAD, the Volkswagen Group's software company, acquired the automotive division of Intenta GmbH, which works in sensor data fusion. The acquisition is in line with the company's strategy to massively increase its vertical value creation in software and hardware development to enable itself to develop critical software components in-house and increase the depth of value added in key development areas.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support

1 INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
- 4.2.1 Bargaining Power of Suppliers
- 4.2.2 Bargaining Power of Buyers
- 4.2.3 Threat of New Entrants
- 4.2.4 Intensity of Competitive Rivalry
- 4.2.5 Threat of Substitute Products
4.3 Industry Value Chain Analysis
4.4 Technology Snapshot
4.5 Impact of COVID-19 on the Market

5 MARKET DYNAMICS

5.1 Market Drivers
- 5.1.1 Growing Demand for Autonomous Vehicles
- 5.1.2 Efficient Real Time Data Processing and Data Sharing Capabilities to Drive the Demand
5.2 Market Restraints
- 5.2.1 Lack of Standardization in Sensor Fusion Technology

6 KEY MARKET TRENDS

6.1 Key Patents and Research Activities
6.2 Major and Emerging Applications
- 6.2.1 Adaptive Cruise Control (ACC)
- 6.2.2 Autonomous Emergency Braking (AEB)
- 6.2.3 Electronic stability control (ESC)
- 6.2.4 Forward Collision Warning (FCW)
- 6.2.5 Other Applications

7 MARKET SEGMENTATION

7.1 By Types of Vehicle
- 7.1.1 Passenger Cars
- 7.1.2 Light Commercial Vehicle (LCV)
- 7.1.3 Heavy Commercial Vehicle (HCV)
- 7.1.4 Other Autonomous Vehicles
7.2 By Geography
- 7.2.1 North America
- 7.2.2 Europe
- 7.2.3 Asia-Pacific
- 7.2.4 Latin America
- 7.2.5 Middle East & Africa

8 COMPETITIVE LANDSCAPE

8.1 Company Profiles
- 8.1.1 Robert Bosch GmbH
- 8.1.2 Microchip Technology Inc.
- 8.1.3 Infineon Technologies AG
- 8.1.4 BASELABS GmbH
- 8.1.5 NXP Semiconductor
- 8.1.6 STMicroelectronics NV
- 8.1.7 Aimotive kft
- 8.1.8 Kionix Inc (Rohm Co. Ltd)
- 8.1.9 TDK Corporation
- 8.1.10 CEVA Inc.