封面
市场调查报告书
商品编码
1702392

全球手势辨识市场 - 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个工作天内

价格

本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

2024 年全球手势辨识市场规模达到 213.3 亿美元,预计到 2032 年将达到 667.2 亿美元,在 2025-2032 年预测期内的复合年增长率为 15.32%。

全球手势辨识市场正在蓬勃发展,其日益融入汽车、医疗保健、工业自动化和消费性电子产品的人机互动系统。根据惯性感测器和基于雷达的输入等即时感测技术的最新进展,手势控制系统能够提供低于 50 毫秒的延迟,这对于在自动驾驶汽车和智慧医疗设备等关键环境中使用至关重要。

此外,该技术在穿戴式装置和扩增实境中的适用性已将其使用案例从静态环境扩展到动态的现实世界环境。手势辨识与电脑视觉和讯号处理技术的融合可以提高复杂环境条件下的精确度,正如 IEEE 对多模式系统和嵌入式感测架构的评论所强调的那样。

手势识别市场趋势

一个关键的新兴趋势是向多模式手势识别的转变,其中手势、语音和脸部提示被联合解释,以提高情境感知和准确性。人们越来越关注在医疗保健和公共场所中使用基于雷达的感测技术来取代传统的基于摄影机的系统来保护隐私。同样值得注意的是,人工智慧驱动的节能辨识模型正在转变,该模型可以在对电池敏感的可穿戴设备中实现手势控制。这些进步正在推动需要直觉、非语言人机互动的领域的应用。

全球手势辨识市场动态

将手势控制整合到非接触式公共介面中,以符合健康和安全要求

手势控制在公共介面中的整合越来越多地受到非接触式互动需求的推动,特别是出于对高流量环境中的卫生和安全问题的考虑。 IEEE 的研究重点是利用雷达和支援 AI 的惯性设备开发即时手势辨识系统,特别是针对紧急人机互动和公共终端。这些技术透过减少身体接触的需要,为机场、医院和交通枢纽的使用者体验提供更安全的保障。

多用户和复杂环境场景中的高错误率

由于输入重迭、光照变化和运动模糊,手势辨识系统在复杂的多用户环境中面临巨大的准确性挑战。根据各种标准,依赖基于影像的生物辨识技术(如手势或脸部辨识)的系统在民用应用中的故障率可能高达 2.5%,这是因为影像品质不佳或环境噪音足以影响公共资讯亭或汽车等即时应用。

当多个使用者同时互动或系统部署在不受控制的环境中时,可靠性问题会加剧,从而限制基于手势的介面在交通或智慧城市等领域的可扩展性。这些限制促使 NIST 等联邦机构开发新的测试框架和资料集,以便在现实世界的复杂性下更好地评估系统性能。

目录

第一章:方法论和范围

第 2 章:定义与概述

第三章:执行摘要

第四章:动态

  • 影响因素
    • 驱动程式
      • 将手势控制整合到非接触式公共介面中,以符合健康和安全要求
    • 限制
      • 多用户和复杂环境场景中的高错误率
    • 机会
    • 影响分析

第五章:产业分析

  • 波特五力分析
  • 供应链分析
  • 价值链分析
  • 定价分析
  • 监理与合规分析
  • 人工智慧与自动化影响分析
  • 研发与创新分析
  • 技术分析
  • DMI 意见

第六章:按技术

  • 基于触摸
  • 非接触式

第七章:依身分验证类型

  • 手/手指
  • 视觉/虹膜
  • 其他的

第 8 章:按组件

  • 硬体
  • 软体

第九章:按应用

  • 汽车
  • 消费性电子产品
  • 卫生保健
  • 航太与国防
  • 工业的
  • 其他的

第十章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 11 章:竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 併购分析

第十二章:公司简介

  • Intel Corporation
    • 公司概况
    • 产品组合和描述
    • 财务概览
    • 关键进展
  • 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:附录

简介目录
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.

Why Choose DataM?

  • Data-Driven Insights: Dive into detailed analyses with granular insights such as pricing, market shares and value chain evaluations, enriched by interviews with industry leaders and disruptors.
  • Post-Purchase Support and Expert Analyst Consultations: As a valued client, gain direct access to our expert analysts for personalized advice and strategic guidance, tailored to your specific needs and challenges.
  • White Papers and Case Studies: Benefit quarterly from our in-depth studies related to your purchased titles, tailored to refine your operational and marketing strategies for maximum impact.
  • Annual Updates on Purchased Reports: As an existing customer, enjoy the privilege of annual updates to your reports, ensuring you stay abreast of the latest market insights and technological advancements. Terms and conditions apply.
  • Specialized Focus on Emerging Markets: DataM differentiates itself by delivering in-depth, specialized insights specifically for emerging markets, rather than offering generalized geographic overviews. This approach equips our clients with a nuanced understanding and actionable intelligence that are essential for navigating and succeeding in high-growth regions.
  • Value of DataM Reports: Our reports offer specialized insights tailored to the latest trends and specific business inquiries. This personalized approach provides a deeper, strategic perspective, ensuring you receive the precise information necessary to make informed decisions. These insights complement and go beyond what is typically available in generic databases.

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