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市場調查報告書
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1941179

汽車手勢姿態辨識市場－全球產業規模、佔有率、趨勢、機會及預測（依技術、應用、區域及競爭格局分類，2021-2031年）

Automotive Gesture Recognition Market - Global Industry Size, Share, Trends Opportunity, and ForecastSegmented. Segmented By Technology, By Application, By Region & Competition, and By Competition. 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球汽車手勢姿態辨識市場預計將從 2025 年的 22.2 億美元成長到 2031 年的 32.6 億美元，複合年成長率達到 6.61%。

該行業致力於開發非接觸式人機互動系統，將特定的身體和手部動作轉化為操作車輛功能的指令。推動這一成長的關鍵因素包括：需要透過最大限度地減少駕駛員分心來提高道路安全，以及現代數位駕駛座中日益普及的直覺控制功能。這項技術的應用與汽車產業的整體成長趨勢相符。正如歐洲汽車製造商協會所指出的，到2024年，全球汽車銷售將達到7,460萬輛，這將為將先進的內裝技術整合到未來的車型中奠定堅實的基礎。

市場概覽
預測期 2027-2031
市場規模：2025年 22.2億美元
市場規模：2031年 32.6億美元
複合年成長率：2026-2031年 6.61%
成長最快的細分市場 基於觸摸的手勢
最大的市場 北美洲

然而，市場擴張的主要障礙在於高成本以及在各種環境條件下確保感測器穩定運行的技術複雜性。諸如光照變化和複雜的手部動作等因素都會降低辨識精度，從而導致使用者滿意度下降。因此，製造商往往將這些系統限制在高階車型領域。這些經濟和功能上的障礙共同限制了其在大眾市場的普及，使其難以成為入門級和中檔車型的標準配備。

市場促進因素

政府為提高駕駛安全、減少駕駛分心而製定的嚴格法規，正推動手勢姿態辨識系統在汽車領域的廣泛應用。監管機構日益敦促製造商採用非接觸式介面，以最大限度地減少實體觸控螢幕帶來的視覺和操作干擾。這些技術使駕駛員能夠透過簡單的手勢控制導航和通訊功能，從而將注意力集中在路面上。近期事故統計數據凸顯了這項轉變的必要性。根據美國國家公路交通安全管理局 (NHTSA) 2024 年 4 月發布的《交通安全事實調查筆記》，2022 年美國因分心駕駛造成的交通事故將導致 3308 人死亡，這促使汽車製造商加快步伐，優先採用手勢控制技術，以滿足安全標準並提升車輛安全評級。

同時，智慧座艙技術的興起正在推動內裝設計的變革，其核心在於直覺、非接觸式的操作體驗。隨著汽車向軟體定義平台演進，人們對響應速度堪比消費性電子產品的智慧人機互動介面的需求日益成長。這一趨勢也反映在供應商的業績表現上。 2024年1月，LG電子宣布其汽車零件解決方案部門2023年的年銷售額將達到10.1兆韓元，主要得益於車載資訊娛樂系統的需求成長。向電氣化的轉型進一步加速了這一融合進程，先進的內裝設計成為關鍵賣點。根據國際能源總署（IEA）2024年的數據，2023年全球將新增約1,400萬輛電動車，這將為這些先進識別系統的應用創造大規模的生態系統。

市場挑戰

全球汽車手勢姿態辨識市場的主要障礙在於其高昂的成本和技術複雜性，而這些成本和技術複雜性是確保感測器可靠運作所必需的。發展一個能夠在光照和陰影等環境因素變化的情況下準確解讀複雜手部動作的系統，需要大量的研發投入。這種技術上的不穩定性會導致用戶在指令無法識別時滿意度較低，迫使製造商將其限制在高階車型上，以便透過更高的售價來抵消開發成本。因此，入門級和中階車型無法實現大規模市場整合所需的規模經濟效益。

克服這些技術挑戰帶來的經濟負擔十分沉重，減緩了經濟型解決方案在市場上的廣泛應用。這種龐大的資金需求體現在整個產業數位化的支出上。根據德國汽車工業協會 (VDA) 2024 年發布的報告，製造商和供應商計劃在 2024 年至 2028 年間在全球範圍內投資約 2800 億歐元用於研發，其中數位化和自動化是重點領域。如此巨額的支出凸顯了限制手勢姿態辨識等先進介面技術應用於高階車型的經濟壁壘，阻礙了該技術實現大規模產。

市場趨勢

多模態人機互動介面的興起正在改變使用者互動，它整合了手勢控制、語音指令和眼動追蹤等技術，從而減少歧義。這些整合系統不再僅僅依賴手勢，而是利用視線方向和語音指令等上下文線索來檢驗駕駛員的意圖，顯著降低了單一模式配置中常見的誤報率。這種複雜性需要強大的運算平台，這一點從對能夠處理同步輸入的高級數位底盤解決方案日益成長的需求中可見一斑。例如，高通公司在2024年7月的公佈財報上公佈了8.11億美元的汽車業務收入，這表明支撐這種多層互動基礎的整合式數位駕駛座技術正在迅速普及。

同時，基於雷達的感測技術，特別是毫米波技術的應用，正逐漸成為光學攝影機在偵測微小動作方面的可行替代方案。與在低光源環境下性能不佳或有隱私問題的攝影機系統不同，雷達感測器能夠精確檢測各種材質和環境下的細微手指動作和生命徵象。這種向非光學監控的轉變顯著提升了對專用於處理高頻感測器資料的汽車半導體的需求。英飛凌科技於2024年8月宣布，其汽車事業部第三季銷售額達到21.1億歐元，這主要得益於用於這些尖端車內監控架構的微控制器和感測器的強勁銷售，這也像徵著這一行業轉型。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球汽車手勢姿態辨識市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 透過科技（觸控手勢姿態辨識、非接觸手勢姿態辨識）
    • 按應用領域（多媒體/資訊娛樂/導航、照明系統、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

6. 北美汽車手勢姿態辨識市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

7. 歐洲汽車手勢姿態辨識市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

8. 亞太地區汽車手勢姿態辨識市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲汽車手勢姿態辨識市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章 南美洲汽車手勢姿態辨識市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球汽車手勢姿態辨識市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Cipia Vision Ltd.
  • Cognitec Systems GmbH
  • Continental AG
  • NXP Semiconductors
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co., Ltd
  • Sony Corporation
  • Synaptics Incorporated
  • Usens Inc
  • Visteon Corporation.

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 16300

The Global Automotive Gesture Recognition Market is projected to expand from USD 2.22 Billion in 2025 to USD 3.26 Billion by 2031, achieving a compound annual growth rate of 6.61%. This industry focuses on creating contactless human-machine interface systems that translate specific body or hand motions into commands for operating vehicle features. Key factors fueling this growth include the imperative to improve road safety by minimizing driver distraction and the rising incorporation of intuitive control mechanisms within contemporary digital cockpits. This technological adoption corresponds with the broader growth of the automotive sector; as noted by the European Automobile Manufacturers' Association in 2024, global car sales hit 74.6 million units, establishing a widening platform for integrating advanced interior technologies in upcoming vehicle models.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 2.22 Billion
Market Size 2031USD 3.26 Billion
CAGR 2026-20316.61%
Fastest Growing SegmentTouch-based Gesture
Largest MarketNorth America

Nevertheless, a major obstacle hindering widespread market growth is the high cost and technical complexity involved in ensuring consistent sensor functionality across varying environmental conditions. Issues such as fluctuating lighting or intricate hand movements can result in unreliable recognition, leading to user dissatisfaction and prompting manufacturers to restrict these systems to luxury vehicle segments. This combination of economic and functional hurdles limits adoption in the mass market, preventing the technology from establishing itself as a standard offering in entry-level and mid-range automobiles.

Market Driver

Stringent government mandates aimed at enhancing driver safety and mitigating distraction serve as a major impetus for the uptake of automotive gesture recognition systems. Regulatory authorities are increasingly urging manufacturers to adopt contactless interfaces that minimize the visual-manual interference typically associated with physical touchscreens. By enabling drivers to operate navigation and communication features via simple hand gestures, these technologies help maintain focus on the road. The necessity of this transition is highlighted by recent crash statistics; according to the National Highway Traffic Safety Administration's April 2024 'Traffic Safety Facts Research Note', distraction-related accidents caused 3,308 deaths in the United States in 2022, prompting automakers to prioritize gesture controls as a strategy to comply with safety standards and boost vehicle safety ratings.

Concurrently, the rise of smart cabin technologies is transforming interior designs to prioritize intuitive, touchless interactions. As vehicles evolve into software-defined platforms, there is growing demand for human-machine interfaces that offer responsiveness comparable to consumer electronics. This trend is evident in supplier achievements; LG Electronics reported in January 2024 that its Vehicle component Solutions Company reached an annual revenue of KRW 10.1 trillion for 2023, largely fueled by demand for in-vehicle infotainment. This integration is further accelerated by the shift toward electrification, where advanced interiors are a primary selling point. As per the International Energy Agency in 2024, almost 14 million new electric cars were registered globally in 2023, providing a substantial ecosystem for the implementation of these sophisticated recognition systems.

Market Challenge

The main obstacle restraining the Global Automotive Gesture Recognition Market is the significant expense and technical intricacy needed to guarantee reliable sensor operation. Engineering systems capable of accurately translating complicated hand movements amidst variable environmental factors, such as changing lighting or shadows, necessitates substantial research and development investment. This technical instability frequently leads to user dissatisfaction when commands are not recognized, forcing manufacturers to limit these features to luxury models where higher price tags can offset development expenditures. As a result, this prevents the achievement of economies of scale required for mass-market integration within entry-level and mid-range vehicle categories.

The financial strain associated with surmounting these technical difficulties is immense, slowing the pace at which affordable solutions can be introduced to the wider market. The magnitude of this capital requirement is reflected in the industry's broad spending on digital advancement. According to the German Association of the Automotive Industry (VDA) in 2024, manufacturers and suppliers planned to invest roughly €280 billion in research and development globally between 2024 and 2028, with a major emphasis on digitalization and automation. This colossal expenditure highlights the economic hurdle that restricts advanced interface technologies like gesture recognition to high-end vehicles, thereby impeding the market's potential for extensive volumetric expansion.

Market Trends

The shift toward multimodal human-machine interfaces is transforming user interaction by integrating gesture control with voice commands and gaze tracking to decrease ambiguity. Instead of depending exclusively on hand movements, these unified systems use contextual cues from eye direction or verbal instructions to verify driver intent, significantly reducing the false positives often found in single-modality setups. This level of complexity necessitates robust computing platforms, as seen in the growing need for advanced digital chassis solutions capable of processing simultaneous inputs. For instance, Qualcomm reported in its July 2024 earnings release that it generated $811 million in automotive revenue, indicating a surge in the adoption of integrated digital cockpit technologies that sustain these multi-layered interaction frameworks.

At the same time, the implementation of radar-based sensing, specifically millimeter-wave technology, is gaining traction as a practical substitute for optical cameras in detecting micro-motions. Unlike camera systems that may falter in low light or raise privacy issues, radar sensors offer precise detection of subtle finger gestures and vital signs across diverse materials and environmental settings. This move toward non-optical monitoring is fueling substantial demand for specialized automotive semiconductors designed to handle high-frequency sensor data. Highlighting this industrial shift, Infineon Technologies announced in August 2024 that its Automotive segment reached €2.11 billion in revenue for the third quarter, supported by strong sales of the microcontrollers and sensors required for these cutting-edge interior monitoring architectures.

Key Market Players

  • Cipia Vision Ltd.
  • Cognitec Systems GmbH
  • Continental AG
  • NXP Semiconductors
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co., Ltd
  • Sony Corporation
  • Synaptics Incorporated
  • Usens Inc
  • Visteon Corporation.

Report Scope

In this report, the Global Automotive Gesture Recognition Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Automotive Gesture Recognition Market, By Technology

  • Touch-based Gesture Recognition
  • Touchless Gesture Recognition

Automotive Gesture Recognition Market, By Application

  • Multimedia/Infotainment/Navigation
  • Lighting Systems
  • Others

Automotive Gesture Recognition Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Automotive Gesture Recognition Market.

Available Customizations:

Global Automotive Gesture Recognition Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Automotive Gesture Recognition Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Technology (Touch-based Gesture Recognition, Touchless Gesture Recognition)
    • 5.2.2. By Application (Multimedia/Infotainment/Navigation, Lighting Systems, Others)
    • 5.2.3. By Region
    • 5.2.4. By Company (2025)
  • 5.3. Market Map

6. North America Automotive Gesture Recognition Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Technology
    • 6.2.2. By Application
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Automotive Gesture Recognition Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Technology
        • 6.3.1.2.2. By Application
    • 6.3.2. Canada Automotive Gesture Recognition Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Technology
        • 6.3.2.2.2. By Application
    • 6.3.3. Mexico Automotive Gesture Recognition Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Technology
        • 6.3.3.2.2. By Application

7. Europe Automotive Gesture Recognition Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Technology
    • 7.2.2. By Application
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Automotive Gesture Recognition Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Technology
        • 7.3.1.2.2. By Application
    • 7.3.2. France Automotive Gesture Recognition Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Technology
        • 7.3.2.2.2. By Application
    • 7.3.3. United Kingdom Automotive Gesture Recognition Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Technology
        • 7.3.3.2.2. By Application
    • 7.3.4. Italy Automotive Gesture Recognition Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Technology
        • 7.3.4.2.2. By Application
    • 7.3.5. Spain Automotive Gesture Recognition Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Technology
        • 7.3.5.2.2. By Application

8. Asia Pacific Automotive Gesture Recognition Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Technology
    • 8.2.2. By Application
    • 8.2.3. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Automotive Gesture Recognition Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Technology
        • 8.3.1.2.2. By Application
    • 8.3.2. India Automotive Gesture Recognition Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Technology
        • 8.3.2.2.2. By Application
    • 8.3.3. Japan Automotive Gesture Recognition Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Technology
        • 8.3.3.2.2. By Application
    • 8.3.4. South Korea Automotive Gesture Recognition Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Technology
        • 8.3.4.2.2. By Application
    • 8.3.5. Australia Automotive Gesture Recognition Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Technology
        • 8.3.5.2.2. By Application

9. Middle East & Africa Automotive Gesture Recognition Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Technology
    • 9.2.2. By Application
    • 9.2.3. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Automotive Gesture Recognition Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Technology
        • 9.3.1.2.2. By Application
    • 9.3.2. UAE Automotive Gesture Recognition Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Technology
        • 9.3.2.2.2. By Application
    • 9.3.3. South Africa Automotive Gesture Recognition Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Technology
        • 9.3.3.2.2. By Application

10. South America Automotive Gesture Recognition Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Technology
    • 10.2.2. By Application
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Automotive Gesture Recognition Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Technology
        • 10.3.1.2.2. By Application
    • 10.3.2. Colombia Automotive Gesture Recognition Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Technology
        • 10.3.2.2.2. By Application
    • 10.3.3. Argentina Automotive Gesture Recognition Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Technology
        • 10.3.3.2.2. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Automotive Gesture Recognition Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Cipia Vision Ltd.
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Cognitec Systems GmbH
  • 15.3. Continental AG
  • 15.4. NXP Semiconductors
  • 15.5. Qualcomm Technologies, Inc.
  • 15.6. Samsung Electronics Co., Ltd
  • 15.7. Sony Corporation
  • 15.8. Synaptics Incorporated
  • 15.9. Usens Inc
  • 15.10. Visteon Corporation.

16. Strategic Recommendations

17. About Us & Disclaimer