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市場調查報告書
商品編碼
1702392

全球手勢辨識市場 - 2025-2032

Global Gesture Recognition Market - 2025-2032
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球手勢辨識市場規模達到 213.3 億美元，預計到 2032 年將達到 667.2 億美元，在 2025-2032 年預測期內的複合年成長率為 15.32%。

全球手勢辨識市場正在蓬勃發展，其日益融入汽車、醫療保健、工業自動化和消費性電子產品的人機互動系統。根據慣性感測器和基於雷達的輸入等即時感測技術的最新進展，手勢控制系統能夠提供低於 50 毫秒的延遲，這對於在自動駕駛汽車和智慧醫療設備等關鍵環境中使用至關重要。

此外，該技術在穿戴式裝置和擴增實境中的適用性已將其使用案例從靜態環境擴展到動態的現實世界環境。手勢辨識與電腦視覺和訊號處理技術的融合可以提高複雜環境條件下的精確度，正如 IEEE 對多模式系統和嵌入式感測架構的評論所強調的那樣。

手勢識別市場趨勢

一個關鍵的新興趨勢是向多模式手勢識別的轉變，其中手勢、語音和臉部提示被聯合解釋，以提高情境感知和準確性。人們越來越關注在醫療保健和公共場所中使用基於雷達的感測技術來取代傳統的基於攝影機的系統來保護隱私。同樣值得注意的是，人工智慧驅動的節能辨識模型正在轉變，該模型可以在對電池敏感的穿戴式設備中實現手勢控制。這些進步正在推動需要直覺、非語言人機互動的領域的應用。

全球手勢辨識市場動態

將手勢控制整合到非接觸式公共介面中，以符合健康和安全要求

手勢控制在公共介面中的整合擴大受到非接觸式互動需求的推動，特別是出於對高流量環境中的衛生和安全問題的考慮。 IEEE 的研究重點是利用雷達和支援 AI 的慣性設備開發即時手勢辨識系統，特別是針對緊急人機互動和公共終端。這些技術透過減少身體接觸的需要，為機場、醫院和交通樞紐的使用者體驗提供更安全的保障。

多用戶和複雜環境場景中的高錯誤率

由於輸入重疊、光照變化和運動模糊，手勢辨識系統在複雜的多用戶環境中面臨巨大的準確性挑戰。根據各種標準，依賴基於影像的生物辨識技術（如手勢或臉部辨識）的系統在民用應用中的故障率可能高達 2.5%，這是因為影像品質不佳或環境噪音足以影響公共資訊亭或汽車等即時應用。

當多個使用者同時互動或系統部署在不受控制的環境中時，可靠性問題會加劇，從而限制基於手勢的介面在交通或智慧城市等領域的可擴展性。這些限制促使 NIST 等聯邦機構開發新的測試框架和資料集，以便在現實世界的複雜性下更好地評估系統性能。

目錄

第1章：方法論和範圍

第 2 章：定義與概述

第3章：執行摘要

第4章：動態

  • 影響因素
    • 驅動程式
      • 將手勢控制整合到非接觸式公共介面中，以符合健康和安全要求
    • 限制
      • 多用戶和複雜環境場景中的高錯誤率
    • 機會
    • 影響分析

第5章：產業分析

  • 波特五力分析
  • 供應鏈分析
  • 價值鏈分析
  • 定價分析
  • 監理與合規分析
  • 人工智慧與自動化影響分析
  • 研發與創新分析
  • 技術分析
  • DMI 意見

第6章：按技術

  • 基於觸摸
  • 非接觸式

第7章：依身分驗證類型

  • 手/手指
  • 臉
  • 視覺/虹膜
  • 其他

第 8 章：按組件

  • 硬體
  • 軟體

第9章：按應用

  • 汽車
  • 消費性電子產品
  • 衛生保健
  • 航太與國防
  • 工業的
  • 其他

第10章：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第 11 章：競爭格局

  • 競爭格局
  • 市場定位/佔有率分析
  • 併購分析

第12章：公司簡介

  • Intel Corporation
    • 公司概況
    • 產品組合和描述
    • 財務概覽
    • 關鍵進展
  • Jabil Inc.
  • Microchip Technology Inc.
  • Sony Corporation
  • Ultraleap
  • Elliptic Laboratories AS
  • Google LLC
  • GestureTek Inc.
  • Nice - Polska Sp. z oo
  • Dreamworth Solutions Pvt. Ltd.

第 13 章：附錄

簡介目錄
Product Code: ICT9461

Global gesture recognition market size reached US$ 21.33 billion in 2024 and is expected to reach US$ 66.72 billion by 2032, growing with a CAGR of 15.32% during the forecast period 2025-2032.

The global gesture recognition market is gaining momentum with growing integration into human-machine interaction systems across automotive, healthcare, industrial automation, and consumer electronics. According to the recent advances in real-time sensing technologies, including inertial sensors and radar-based input, have enabled gesture control systems to deliver latency under 50 milliseconds-key for use in critical environments like autonomous vehicles and smart medical equipment.

Moreover, the technology's applicability in wearable devices and augmented reality has expanded its use cases beyond static environments to dynamic, real-world contexts. The convergence of gesture recognition with computer vision and signal processing techniques has allowed for increased precision in complex ambient conditions, as highlighted by IEEE reviews of multi-modal systems and embedded sensing architectures.

Gesture Recognition Market Trend

A key emerging trend is the shift toward multimodal gesture recognition, where hand, voice, and facial cues are jointly interpreted to improve context awareness and accuracy. There is a growing focus on using radar-based sensing over traditional camera-based systems for privacy-respecting applications in healthcare and public settings. Also notable is the movement toward AI-driven energy-efficient recognition models that enable gesture control in battery-sensitive wearables. These advancements are driving adoption in fields requiring intuitive, non-verbal human-machine interaction.

Global Gesture Recognition Market Dynamics

Integration of Gesture Control in Contactless Public Interfaces for Health and Safety Compliance

The integration of gesture control in public interfaces is increasingly driven by the demand for contactless interaction, especially in response to hygiene and safety concerns in high-traffic environments. IEEE research highlights the development of real-time gesture recognition systems using radar and AI-enabled inertial devices, specifically targeting emergency human-machine interactions and public terminals. These technologies support safer user experiences in airports, hospitals, and transit hubs by reducing the need for physical contact.

High Error Rates in Multi-User and Complex Environmental Scenarios

Gesture recognition systems face significant accuracy challenges in complex, multi-user environments due to overlapping inputs, varying lighting, and motion blur. According to various standards, systems that rely on image-based biometrics (like gesture or face recognition) can suffer failure rates as high as 2.5% in civilian applications due to poor image quality or environmental noise enough to impact real-time applications like public kiosks or automotive use.

The reliability issues are exacerbated when multiple users interact simultaneously or when the system is deployed in uncontrolled environments, limiting the scalability of gesture-based interfaces across sectors such as transportation or smart cities. These limitations have prompted federal institutions like NIST to develop new testing frameworks and datasets to better evaluate system performance under real-world complexity.

Segment Analysis

The global gesture recognition market is segmented based on technology, authentication type, component, application, and region.

Touch-Based Gesture Recognition Segment Fueling Market Growth

The adoption of touch-based gesture recognition is rapidly advancing due to its integration in smart consumer electronics, healthcare, and automotive systems. The National Institute of Standards and Technology (NIST) emphasizes the growing demand for accurate biometric systems-such as fingerprint and touch-based inputs-which are critical to securing devices and digital identities in sensitive sectors like defense and law enforcement.

Additionally, NIST's Cybersecurity for IoT Program underlines the significance of secure user-device interaction in IoT ecosystems, where touch-based gesture systems often serve as primary interfaces. Their efforts to guide secure IoT device development underscore the relevance of touch-gesture interfaces in safeguarding connected environments, especially as these systems scale globally across various industries.

Geographical Penetration

Strong Adoption of Gesture Recognition in North America Driven by Automotive and Safety Innovations

North America is experiencing rising demand for gesture recognition technologies, largely due to government-led initiatives to integrate advanced AI and sensor systems into critical sectors like automotive and public safety. According to the US National Institute of Standards and Technology (NIST), it is actively developing operational design and testing standards for gesture-based controls in autonomous vehicles, including co-simulation platforms for evaluating sensor and perception systems.

In parallel, the US Artificial Intelligence Safety Institute (US AISI), housed under NIST, is collaborating with stakeholders across the public and private sectors to create trustworthy AI and HMI (Human-Machine Interaction) standards. This includes evaluating the safety and usability of gesture-based AI systems in high-risk environments, which are seeing increased deployment in defense, public infrastructure, and health monitoring systems.

Technology Analysis

The global gesture recognition market is advancing through innovations in radar-based sensing, edge-computing platforms, and AI-driven recognition systems. IEEE research highlights a shift from traditional camera-based systems to more efficient radar and sensor fusion technologies, which improve accuracy in real-time environments while reducing energy consumption. Additionally, a systematic IEEE review from 2018-2024 shows increasing integration of gesture control in consumer electronics, automotive interfaces, and healthcare applications.

Competitive Landscape

The major global players in the market include Intel Corporation, Jabil Inc., Microchip Technology Inc., Sony Corporation, Ultraleap, Elliptic Laboratories AS, Google LLC, GestureTek Inc., Nice - Polska Sp. z o.o., and Dreamworth Solutions Pvt. Ltd.

Key Developments

  • In January 2023, Hunch Ventures, a New Delhi-based Investment fund, announced a global partnership with Earth First Food Ventures (EFFV) to build India's first Net-Zero Gesture Recognition Innovation project. Catalyzed by the Global Alliance for a Sustainable Planet (GASP), this Net-Zero Gesture Recognition Innovation project will be the first of its kind in India focused on smart proteins and innovative technologies in food production for lower carbon emissions, cleaner and healthier production of protein with lower GHG emissions.
  • In May 2023, Doublepoint, a Helsinki-based company specializing in touch-based micro gesture and surface interaction technology, successfully secured US$ 3.3 million in a its funding round. Superhero Capital, FOV Ventures, Superangel VC, Business Finland, and a group of angel investors led the investment. With this fresh capital infusion, Doublepoint is poised to integrate its cutting-edge gesture recognition technology into consumer electronics and various hardware solutions.

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Target Audience 2024

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

Table of Contents

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 Technology
  • 3.2. Snippet by Authentication Type
  • 3.3. Snippet by Component
  • 3.4. Snippet by Application
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Integration of Gesture Control in Contactless Public Interfaces for Health and Safety Compliance
    • 4.1.2. Restraints
      • 4.1.2.1. High Error Rates in Multi-User and Complex Environmental Scenarios
    • 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. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. AI & Automation Impact Analysis
  • 5.7. R&D and Innovation Analysis
  • 5.8. Technology Analysis
  • 5.9. DMI Opinion

6. By Technology

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 6.1.2. Market Attractiveness Index, By Technology
  • 6.2. Touch-Based*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Touchless

7. By Authentication Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Authentication Type
    • 7.1.2. Market Attractiveness Index, By Authentication Type
  • 7.2. Hand/Finger*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Face
  • 7.4. Vision/Iris
  • 7.5. Others

8. By Component

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 8.1.2. Market Attractiveness Index, By Component
  • 8.2. Hardware*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Software

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Automotive*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Consumer Electronics
  • 9.4. Healthcare
  • 9.5. Aerospace & Defense
  • 9.6. Industrial
  • 9.7. Others

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Authentication Type
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.7.1. US
      • 10.2.7.2. Canada
      • 10.2.7.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Authentication Type
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.7.1. Germany
      • 10.3.7.2. UK
      • 10.3.7.3. France
      • 10.3.7.4. Italy
      • 10.3.7.5. Spain
      • 10.3.7.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Authentication Type
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.7.1. Brazil
      • 10.4.7.2. Argentina
      • 10.4.7.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Authentication Type
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.7.1. China
      • 10.5.7.2. India
      • 10.5.7.3. Japan
      • 10.5.7.4. Australia
      • 10.5.7.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Authentication Type
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. Intel Corporation*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. Jabil Inc.
  • 12.3. Microchip Technology Inc.
  • 12.4. Sony Corporation
  • 12.5. Ultraleap
  • 12.6. Elliptic Laboratories AS
  • 12.7. Google LLC
  • 12.8. GestureTek Inc.
  • 12.9. Nice - Polska Sp. z o.o.
  • 12.10. Dreamworth Solutions Pvt. Ltd.

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us