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시장보고서
상품코드
1743312
제스처 인식 시장 규모, 점유율, 성장 분석 : 구성요소별, 기술별, 유형별, 인증 유형별, 최종 용도별, 지역별 - 산업 예측(2025-2032년)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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제스처 인식 세계 시장 규모는 2023년에 186억 달러로 평가되었으며, 예측 기간(2025-2032년) 동안 CAGR 19.6%로, 2024년 222억 5,000만 달러에서 2032년까지 931억 3,000만 달러로 성장할 전망입니다.
세계 제스처 인식 시장은 가처분 소득의 증가와 자동차, 소비자 가전, 헬스케어 등 다양한 분야의 기술 발전에 힘입어 크게 성장할 것으로 예상됩니다. 디지털화의 진전은 이 모멘텀을 더욱 가속화하고 있습니다. 터치 기반 제스처 인식 분야가 시장을 주도하고 있는 것은 주로 노트북과 스마트폰에 기본 기능이 광범위하게 통합되었기 때문입니다. 이러한 추세는 이러한 기능을 갖춘 저렴한 가격대의 기기 출시로 보완되어 기술을 더욱 친숙하게 만들고 있습니다. 또한, 산업용 애플리케이션에서 터치 기반 제스처 인식 장치는 장갑을 끼고 기름이 묻은 표면을 다루는 것과 같은 열악한 환경에서도 효과적으로 작동할 수 있는 견고성으로 인해 선호되고 있습니다. 전반적으로 제스처 인식 기술에 대한 수요는 앞으로도 계속 증가할 것으로 예상됩니다.
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.