ジェスチャー認識市場シェア分析、業界動向と統計、成長予測 2025-2030年

ジェスチャー認識市場レポートは、テクノロジー (タッチベースのジェスチャー認識、タッチレス ジェスチャー認識)、コンポーネント (ハードウェア、ソフトウェア)、ジェスチャー タイプ (オンライン ダイナミック ジェスチャー、オフライン スタティック ジェスチャー)、認証 (生体認証、非生体認証)、エンドユーザー業界 (民生用電子機器、自動車、航空宇宙および防衛など)、および地域別にセグメント化されています。

ジェスチャー認識市場規模は、2025年には304億8,000万米ドルに達すると推定され、予測期間（2025～2030年）中に年平均成長率（CAGR）23.39%で成長し、2030年には871億9,000万米ドルに達すると予測されています。この持続的な拡大は、スマートフォン、車両、医療機器、産業機器において、応答性に優れ低遅延のヒューマンマシンインターフェースを実現する、先進的なミリ波レーダー、マルチゾーンToF（Time-of-Flight）センサー、エッジAIアルゴリズムの融合を反映しています。高級携帯電話向けセンサーの出荷加速、自動車安全システムへの規制圧力、そして医療における感染対策の必要性が相まって、数量需要を刺激しています。同時に、ジェスチャー認識市場では、ハードウェア中心のソリューションから、インタラクションのパーソナライズ、誤検知の低減、デバイス寿命の延長を実現するソフトウェアおよびAIスタックへの価値シフトが進んでいます。米国のCHIPS法や欧州のCHIPS法といった地域的な製造業へのインセンティブは、サプライチェーンを再構築し、現地での部品生産に新たなコスト優位性をもたらしています。これらの要因が融合する中で、センサー、ソフトウェア、クラウドオーケストレーションのレイヤーを垂直統合する業界関係者は、ジェスチャー認識市場において大きな利益を獲得できる立場にあります。

タッチレスソリューションは2024年の収益の58.2%を占め、衛生、運転者の安全、そして没入型エンターテインメントへのエンドマーケットの重視を反映しています。タッチレスのサブセグメントは2030年までに24.4%の成長が見込まれ、ToF、ミリ波レーダー、超音波アレイによる部品コストの削減により、ジェスチャー認識市場全体を上回るペースで成長します。一方、静電容量式タッチベースのコントロールは、コスト重視の消費者向けデバイスにおいて依然として重要な位置を占めていますが、そのCAGRは1桁台にとどまっています。京セラの深度センサーは10cm以内で100µmの分解能を示し、外科手術レベルの精度が求められるロボットによるピックアンドプレースや整形外科用アライメントツールを可能にします。アンビエントインタラクションへの着実な移行は、タッチレスモダリティが最終的に、接触依存型の従来型よりも大きなジェスチャー認識市場シェアを獲得することを示唆しています。

ジェスチャー認識市場レポートは、技術（タッチベースのジェスチャー認識、タッチレスジェスチャー認識）、コンポーネント（ハードウェア、ソフトウェア）、ジェスチャーの種類（オンライン動的ジェスチャー、オフライン静的ジェスチャー）、認証（生体認証、非生体認証）、エンドユーザー業界（コンシューマーエレクトロニクス、自動車、航空宇宙・防衛など）、および地域別にセグメント化されています。

Gesture Recognition Market Analysis

The Gesture Recognition Market size is estimated at USD 30.48 billion in 2025, and is expected to reach USD 87.19 billion by 2030, at a CAGR of 23.39% during the forecast period (2025-2030). This sustained expansion reflects the convergence of advanced millimeter-wave radar, multizone Time-of-Flight (ToF) sensors, and edge-AI algorithms that together enable responsive, low-latency human–machine interfaces across smartphones, vehicles, medical devices, and industrial equipment. Accelerating sensor shipments in premium handsets, regulatory pressure on automotive safety systems, and infection-control imperatives in healthcare are jointly stimulating volume demand. At the same time, the gesture recognition market is witnessing a value shift from hardware-centric solutions toward software and AI stacks that personalize interactions, reduce false positives, and extend device longevity. Regional manufacturing incentives most notably the CHIPS Act in the United States and the European Chips Act are reshaping supply chains and creating new cost advantages for local component production. As these drivers converge, industry participants that integrate vertically across sensor, software, and cloud orchestration layers are positioned to capture disproportionate returns within the gesture recognition market.

Global Gesture Recognition Market Trends and Insights

Proliferation of mm-wave and ToF sensors in flagship smartphones across Asia

Asia-based handset OEMs now embed multizone ToF modules such as STMicroelectronics’ VL53L7CX to deliver millimeter-level depth accuracy without ambient-light restrictions, enabling reliable mid-air command input even under harsh illumination. The deployment extends to smart-TV handsets through Ceva’s MotionEngine Hex firmware, which integrates inertial and radar data to deliver spatial control of user interfaces. As the cost of ToF chipsets falls below USD 1 per unit in volume lots, gesture control is transitioning from a premium differentiator to a default feature in the gesture recognition market.

Automaker adoption of in-cabin gesture HUDs to meet Euro NCAP mandates

The July 2024 Advanced Driver Distraction Warning regulation obliges OEMs to mitigate cognitive load, propelling rapid integration of camera-based gesture hubs in European models. BMW’s Level 2/3 certification on the 7 Series demonstrates commercial readiness, while Audi’s 3-D cockpit interface showcases multi-modal infotainment selection using above-console hand sweeps. Suppliers that can guarantee sub-150 ms response times and <3% false-trigger rates stand to win program awards, reinforcing the growth trajectory of the gesture recognition market.

High false-positive rates in sunlight for vision-based systems in tropical regions

Camera-centric algorithms struggle to resolve hand contours against high-lux backgrounds, driving error spikes in outdoor kiosks and ride-hailing vehicles. Research indicates radar-based alternatives maintain >90% precision independent of illumination, prompting system designers to adopt multi-sensor fusion in the gesture recognition market.

Other drivers and restraints analyzed in the detailed report include:

• Hospital demand for touch-free HMI to cut HAI risks in surgical suites
• Integration into XR wearables to unlock 6-DoF control for industrial training
• Absence of open interoperability standards inflating OEM integration cost

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Touchless solutions generated 58.2% of 2024 revenue, reflecting end-market emphasis on hygiene, driver safety, and immersive entertainment. The touchless sub-segment will compound at 24.4% through 2030, outpacing the broader gesture recognition market as ToF, mm-wave radar, and ultrasonic arrays reduce bill-of-materials cost. In contrast, capacitive touch-based controls retain relevance in cost-sensitive consumer devices, yet their CAGR trails at single-digits. Kyocera’s depth sensor demonstrates 100 µm resolution within 10 cm, enabling robotic pick-and-place and orthopedic alignment tools that demand surgical-grade accuracy. The steady migration toward ambient interaction implies touchless modalities will ultimately hold a greater gesture recognition market share than their contact-dependent predecessors.

Touchless expansion is altering supplier power dynamics. Sensor vendors that historically commoditized silicon are now bundling AI firmware, data models, and developer portals, capturing recurring license fees on top of hardware margins. This re-bundling aligns with OEM priorities for field-upgradable over-the-air performance improvements and supports the scalable economics required for high-volume touchless adoption within the gesture recognition market.

Hardware contributed 71.5% of gesture recognition market size in 2024, driven by the intrinsic cost of lenses, radar front-ends, and MCUs. However, software platforms that deliver contextual awareness, user adaptation, and federated learning are forecast at a 23.7% CAGR—more than 350 bps above hardware growth. Infineon’s DEEPCRAFT Ready Models supply pre-trained neural networks for common gestures, cutting integration time by 40% and repositioning the firm higher on the value curve. Meanwhile, Imagimob’s visual graph-based ML tooling compresses model-development cycles to hours, democratizing AI optimization for mid-tier OEMs.

The revenue mix shift creates opportunities for service bundling: predictive maintenance, cloud-based analytics, and in-app monetization through gesture-initiated digital purchases. Suppliers able to orchestrate silicon, firmware, and lifecycle services are poised to command loyalty in the gesture recognition market as total cost of ownership eclipses component price considerations.

Gesture Recognition Market Report is Segmented by Technology (Touch-Based Gesture Recognition, Touchless Gesture Recognition), Component (Hardware, Software), Gesture Type (Online Dynamic Gestures, Offline Static Gestures), Authentication (Biometric, Non-Biometric), End-User Industry (Consumer Electronics, Automotive, Aerospace and Defense and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

Asia Pacific’s dominance rests on vertically integrated supply chains, supportive government funding, and an immense installed base of early-adopter consumers. Regional handset brands release new flagship lines every 10–12 months, each iteration embedding higher-resolution ToF arrays, thereby expanding the gesture recognition market size for sensor vendors. Japanese conglomerates employ XR-based skill-transfer platforms in automotive welding and semiconductor lithography, reinforcing demand for high-precision gesture models. South Korea’s wafer capacity secures component continuity, while India’s smart-TV expansion introduces touchless remotes into middle-income households, broadening the revenue pyramid.

North America leverages healthcare spending power for surgical suites and diagnostic centers, generating premium revenue per unit. Hospitals adopting mid-air displays report significant reductions in cross-contamination incidents, translating into lower readmission penalties and bolstering ROI for gesture interfaces. Automotive OEMs integrate gesture-based driver monitoring to comply with post-2024 federal guidelines on distracted driving, pushing incremental sensor attach rates.

Europe acts as a regulatory pacesetter. Euro NCAP directives mandate distraction-mitigation technologies, accelerating deployment across both luxury and mass-market vehicle classes. German suppliers co-develop gesture modules with domestic automakers, cementing regional value capture despite globalized hardware sourcing. Meanwhile, GCC nations pursue AI sovereignty initiatives that fund public-service kiosks with touchless UIs, giving the Middle East an outsized growth profile relative to its current base.

List of Companies Covered in this Report:

• Intel Corporation
• Qualcomm Technologies Inc.
• Apple Inc.
• Microsoft Corp.
• Sony Group Corp.
• Google LLC
• Meta Platforms Inc.
• Ultraleap Ltd.
• Microchip Technology Inc.
• Infineon Technologies AG
• Synaptics Inc.
• Elliptic Laboratories AS
• GestureTek Inc.
• Cognitec Systems GmbH
• Eyesight Technologies Ltd.
• PointGrab Ltd.
• Omron Corporation
• Jabil Inc.
• Leap Motion

Additional Benefits:

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

Table of Contents

1 INTRODUCTION

1.1 Study Assumptions and Market Definition

1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

4.1 Market Overview

4.2 Market Drivers

4.2.1 Proliferation of mm-wave and ToF sensors in flagship smartphones across Asia

4.2.2 Automaker adoption of in-cabin gesture HUDs to meet Euro NCAP distraction mandates

4.2.3 Hospital demand for touch-free HMI to cut HAI risks in surgical suites (US and Germany)

4.2.4 Integration into XR wearables to unlock 6-DoF control for industrial training (Japan)

4.2.5 Smart-TV vendors bundling air-gesture remotes to differentiate in price-eroding market

4.2.6 Government smart-city grants driving public-kiosk gesture UI roll-outs (GCC)

4.3 Market Restraints

4.3.1 High false-positive rates in sunlight for vision-based systems in tropical regions

4.3.2 Absence of open interoperability standards inflating OEM integration cost

4.3.3 “Always-on” gesture wake-word draining battery in sub-10 nm mobile SoCs

4.3.4 Data-privacy compliance hurdles for in-cabin video analytics under GDPR

4.4 Regulatory Outlook

4.5 Porter’s Five Forces Analysis

4.5.1 Bargaining Power of Suppliers

4.5.2 Bargaining Power of Buyers

4.5.3 Threat of New Entrants

4.5.4 Threat of Substitutes

4.5.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

5.1 By Technology

5.1.1 Touch-based Gesture Recognition

5.1.1.1 2-D Multi-touch Panels

5.1.1.2 Capacitive and Resistive Sensors

5.1.2 Touchless Gesture Recognition

5.1.2.1 2-D Camera-based

5.1.2.2 3-D Depth and ToF

5.1.2.3 Ultrasonic and mm-wave Radar

5.2 By Component

5.2.1 Hardware (Sensors, Controllers, SoCs)

5.2.2 Software (ML Algorithms, SDKs, Middleware)

5.3 By Gesture Type

5.3.1 Online Dynamic Gestures

5.3.2 Offline Static Gestures

5.4 By Authentication

5.4.1 Biometric (Face, Iris, Palm-vein)

5.4.2 Non-biometric (Motion, Pose)

5.5 By End-user Industry

5.5.1 Consumer Electronics

5.5.1.1 Smartphones and Tablets

5.5.1.2 Smart-TV and Set-top Boxes

5.5.1.3 AR/VR and Wearables

5.5.2 Automotive

5.5.2.1 Driver Monitoring and Infotainment

5.5.3 Aerospace and Defense

5.5.4 Healthcare

5.5.4.1 Surgical and Diagnostic Rooms

5.5.5 Gaming and Entertainment

5.5.6 Industrial and Robotics

5.5.7 Other Industries

5.6 By Geography

5.6.1 North America

5.6.1.1 United States

5.6.1.2 Canada

5.6.1.3 Mexico

5.6.2 South America

5.6.2.1 Brazil

5.6.2.2 Argentina

5.6.2.3 Rest of South America

5.6.3 Europe

5.6.3.1 United Kingdom

5.6.3.2 Germany

5.6.3.3 France

5.6.3.4 Italy

5.6.3.5 Rest of Europe

5.6.4 Asia Pacific

5.6.4.1 China

5.6.4.2 Japan

5.6.4.3 India

5.6.4.4 South Korea

5.6.4.5 New Zealand and Australia

5.6.4.6 Rest of Asia Pacific

5.6.5 Middle East and Africa

5.6.5.1 GCC (Saudi Arabia, UAE, Qatar)

5.6.5.2 Turkey

5.6.5.3 South Africa

6 COMPETITIVE LANDSCAPE

6.1 Market Concentration

6.2 Strategic Moves

6.3 Market Share Analysis

6.4 Company Profiles (includes Global-level Overview, Market-level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)

6.4.1 Intel Corporation

6.4.2 Qualcomm Technologies Inc.

6.4.3 Apple Inc.

6.4.4 Microsoft Corp.

6.4.5 Sony Group Corp.

6.4.6 Google LLC

6.4.7 Meta Platforms Inc.

6.4.8 Ultraleap Ltd.

6.4.9 Microchip Technology Inc.

6.4.10 Infineon Technologies AG

6.4.11 Synaptics Inc.

6.4.12 Elliptic Laboratories AS

6.4.13 GestureTek Inc.

6.4.14 Cognitec Systems GmbH

6.4.15 Eyesight Technologies Ltd.

6.4.16 PointGrab Ltd.

6.4.17 Omron Corporation

6.4.18 Jabil Inc.

6.4.19 Leap Motion

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

7.1 White-space and Unmet-need Assessment

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