サンプル依頼リスト カート
  • English
  • Traditional Chinese
  • Simplified Chinese
デフォルト表紙
市場調査レポート
商品コード
1702392

ジェスチャー認識の世界市場（2025年～2032年）

Global Gesture Recognition Market - 2025-2032

出版日
ページ情報
英文 180 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
ジェスチャー認識の世界市場（2025年～2032年）
出版日: 2025年04月10日
発行: DataM Intelligence
ページ情報: 英文 180 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

世界のジェスチャー認識の市場規模は、2024年に213億3,000万米ドルに達し、2032年までに667億2,000万米ドルに達すると予測され、予測期間の2025年～2032年にCAGRで15.32%の成長が見込まれます。

市場は、自動車、医療、産業オートメーション、コンシューマーエレクトロニクスにおける、ヒューマンマシンインタラクションシステムへの統合が進むにつれて勢いを増しています。慣性センサーやレーダーベースの入力を含むリアルタイムセンシング技術の近年の進歩により、ジェスチャーコントロールシステムは50ミリ秒以下の待ち時間を実現できるようになっています。

さらに、この技術はウェアラブルデバイスやARにも応用できるため、静的な環境だけでなく、動的な現実世界の状況にまでユースケースが広がっています。ジェスチャー認識とコンピュータービジョンや信号処理技術の融合により、複雑な環境条件下での精度が向上していることが、マルチモーダルシステムや組み込みセンシングアーキテクチャに関するIEEEのレビューで示されています。

ジェスチャー認識市場の動向

主な新動向は、マルチモーダルジェスチャー認識へのシフトであり、手、声、顔の手がかりを共同で解釈し、文脈認識と精度を向上させます。医療や公共環境におけるプライバシーを尊重する用途向けに、従来のカメラベースのシステムに代えてレーダーベースのセンシングを使用することに注目が集まっています。また、バッテリーに厳しいウェアラブルでのジェスチャー制御を可能にする、AI主導のエネルギー効率に優れた認識モデルへの動きも注目に値します。これらの進歩は、直感的で非言語的なヒューマンマシンインタラクションを必要とする分野での採用を促進しています。

世界のジェスチャー認識の市場力学

健康と安全への準拠を目的とした、非接触公共インターフェースへのジェスチャー制御の統合

公共インターフェースにおけるジェスチャー制御の統合は、特に交通量の多い環境における衛生と安全への懸念に対応するための、非接触インタラクションへの需要によってますます促進されています。IEEEの研究は、レーダーとAI対応慣性デバイスを使用したリアルタイムのジェスチャー認識システムの開発に注目したものであり、特に緊急時のヒューマンマシンインタラクションや公共端末をターゲットとしています。これらの技術は、物理的な接触の必要性を減らすことで、空港、病院、交通の要所におけるより安全なユーザーエクスペリエンスを支援します。

複数ユーザーと複雑な環境シナリオにおける高いエラー率

ジェスチャー認識システムは、入力の重複、照明の変化、モーションブラーなどのために、複雑な複数ユーザー環境における精度に関する大きな課題に直面しています。さまざまな標準によると（ジェスチャーや顔認識のような）画像ベースのバイオメトリクスに依存するシステムは、公共キオスクや自動車使用のようなリアルタイムの利用に影響を与えるほど不十分な画質や環境ノイズのために、民間用途で2.5%もの高い故障率に見舞われる可能性があります。

信頼性の問題は、複数のユーザーが同時に対話する場合や、整備されていない環境でシステムが展開される場合に悪化し、交通やスマートシティなどの部門にわたるジェスチャーベースのインターフェースのスケーラビリティを制限しています。このような制限から、NISTのような連邦政府機関は、現実世界の複雑な環境下でのシステム性能をより適切に評価するための新しい試験枠組みとデータセットの開発に取り組んでいます。

当レポートでは、世界のジェスチャー認識市場について調査し、市場力学、地域とセグメントの分析、競合情勢、企業プロファイルなどを提供しています。

目次

第1章 調査手法と範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 健康と安全への準拠を目的とした、非接触公共インターフェースへのジェスチャー制御の統合
    • 抑制要因
      • 複数ユーザーと複雑な環境シナリオにおける高いエラー率
    • 機会
    • 影響の分析

第5章 産業の分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • バリューチェーン分析
  • 価格分析
  • 規制とコンプライアンスの分析
  • AIと自動化の影響の分析
  • 研究開発とイノベーションの分析
  • 技術分析
  • DMIの見解

第6章 技術別

  • タッチ式
  • タッチレス

第7章 認証タイプ別

  • 手/指
  • 顔
  • 視覚/虹彩
  • その他

第8章 コンポーネント別

  • ハードウェア
  • ソフトウェア

第9章 用途別

  • 自動車
  • コンシューマーエレクトロニクス
  • 医療
  • 航空宇宙・防衛
  • 工業
  • その他

第10章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他の欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他の南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他のアジア太平洋
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市場ポジショニング/シェア分析
  • 合併と買収の分析

第12章 企業プロファイル

  • Intel Corporation
  • Jabil Inc.
  • Microchip Technology Inc.
  • Sony Corporation
  • Ultraleap
  • Elliptic Laboratories AS
  • Google LLC
  • GestureTek Inc.
  • Nice - Polska Sp. z o.o.
  • Dreamworth Solutions Pvt. Ltd.

第13章 付録

目次
Product Code: ICT9459

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