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市場調査レポート
商品コード
1743312
ジェスチャー認識の市場規模、シェア、成長分析、コンポーネント別、技術別、タイプ別、認証タイプ別、最終用途別、地域別 - 産業予測、2025年~2032年Gesture Recognition Market Size, Share, and Growth Analysis, By Component, By Technology, By Type, By Authentication Type, By End Use, By Region - Industry Forecast 2025-2032 |
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ジェスチャー認識の市場規模、シェア、成長分析、コンポーネント別、技術別、タイプ別、認証タイプ別、最終用途別、地域別 - 産業予測、2025年~2032年 |
出版日: 2025年06月02日
発行: SkyQuest
ページ情報: 英文 189 Pages
納期: 3~5営業日
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ジェスチャー認識の世界市場規模は2023年に186億米ドルと評価され、予測期間(2025年~2032年)のCAGRは19.6%で、2024年の222億5,000万米ドルから2032年までには931億3,000万米ドルに成長する見通しです。
世界のジェスチャー認識市場は、可処分所得の増加と、自動車、コンシューマーエレクトロニクス、ヘルスケアなどさまざまな分野における技術進歩に後押しされ、大きく成長する見通しです。デジタル化の進展がこの勢いをさらに加速させています。タッチベースのジェスチャー認識分野が市場をリードしているのは、主にノートパソコンやスマートフォンに基本機能が広く統合されたためです。この動向は、これらの機能を搭載した手頃な価格のデバイスの発売によって補完され、技術をより身近なものにしています。さらに、産業用アプリケーションでは、タッチベースのジェスチャー認識デバイスがその堅牢性により支持されており、手袋を使用したり、油のついた表面を扱ったりするような厳しい環境でも効果的に機能することができます。全体として、ジェスチャー認識技術に対する需要は今後も増加し続けると予想されます。
Global Gesture Recognition Market size was valued at USD 18.6 billion in 2023 and is poised to grow from USD 22.25 billion in 2024 to USD 93.13 billion by 2032, growing at a CAGR of 19.6% during the forecast period (2025-2032).
The global gesture recognition market is poised for significant growth, propelled by rising disposable incomes and technological advancements across various sectors, including automotive, consumer electronics, and healthcare. The increasing adoption of digitization further enhances this momentum. The touch-based gesture recognition segment leads the market, primarily due to the widespread integration of basic functionalities in laptops and smartphones. This trend is complemented by the launch of affordable devices that incorporate these features, making the technology more accessible. Additionally, in industrial applications, touch-based gesture recognition devices are favored due to their robustness, enabling them to function effectively in challenging environments, including those requiring the use of gloves or handling greased surfaces. Overall, the demand for gesture recognition technology is expected to continue rising.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Gesture Recognition market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Gesture Recognition Market Segments Analysis
Global Gesture Recognition Market is segmented by Component, Technology, Type, Authentication Type, End Use and region. Based on Component, the market is segmented into Hardware and Software. Based on Technology, the market is segmented into Touch-based gesture recognition and Touchless gesture recognition. Based on Type, the market is segmented into Hand/Finger gesture recognition, Facial gesture recognition, Voice gesture recognition, Eye movement gesture recognition and Body movement gesture recognition. Based on Authentication Type, the market is segmented into Single-factor authentication and Multi-factor authentication. Based on End Use, the market is segmented into Automotive, Consumer electronics, Healthcare and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Gesture Recognition Market
One of the primary factors propelling the global gesture recognition market is the growing inclination towards touchless technology. This trend is particularly evident in the healthcare industry, where gesture recognition is utilized in surgical environments and diagnostic processes. Medical professionals can interact with devices without making physical contact, thereby minimizing the risk of contamination. A notable application includes the integration of AI-powered gesture recognition in medical imaging systems, enabling radiologists to navigate and manipulate imaging scans through hand movements instead of using traditional touchscreens. This innovation enhances efficiency and promotes hygiene in clinical settings.
Restraints in the Global Gesture Recognition Market
Although there are numerous benefits associated with gesture recognition technology, the substantial costs involved in developing and implementing these systems pose a significant challenge. The integration of sophisticated AI algorithms, premium sensors, and advanced processing hardware contributes to the high overall expenses, which can be prohibitive for small to mid-sized enterprises. This issue is particularly pronounced in sectors such as automotive and healthcare, where precise and dependable gesture recognition solutions necessitate costly hardware investments. Consequently, this financial barrier hampers widespread adoption and limits the potential for innovation within these industries.
Market Trends of the Global Gesture Recognition Market
The Global Gesture Recognition market is experiencing a significant upward trend, primarily driven by the integration of gesture recognition technology in augmented reality (AR) and virtual reality (VR) applications. As AR and VR continue to evolve, companies like Meta and Microsoft are leveraging AI-driven gesture tracking systems to create immersive experiences devoid of physical controllers. This innovation facilitates natural interaction, enhancing gaming, training, and remote collaboration. The market is expected to witness substantial growth as industries recognize the potential of gesture recognition in improving user engagement and interaction, making it a pivotal component in the future of interactive technology.