市場調查報告書
商品編碼
1470993
手勢姿態辨識與非接觸式感測市場:按技術、手勢類型、類型、應用、最終用戶 - 2024-2030 年全球預測Gesture Recognition & Touchless Sensing Market by Technology (Touch-Based, Touchless), Gesture Type (Body Gestures, Face Expressions, Hand Gestures), Type, Application, End-User - Global Forecast 2024-2030 |
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預計2023年手勢姿態辨識與非接觸式感測市場規模為259.3億美元,預計2024年將達到295.3億美元,2030年將達到673.5億美元,複合年成長率為14.60%。
手勢姿態辨識和非接觸式感測技術涉及電子設備對人類手勢和動作的解釋。這些技術允許使用者以自然直覺的方式與機器和電腦交互,而無需使用鍵盤、滑鼠或觸控螢幕等基於觸控的輸入設備。手勢姿態辨識系統可擷取並分析人體或身體部位(例如手或臉部)的運動,以指示或控制裝置或應用程式。消費者對非接觸式互動的偏好日益成長,推動了市場擴張,部分原因是由於 COVID-19 爆發導致的健康問題。利用手勢姿態辨識的智慧家居設備和穿戴式裝置的普及進一步推動了市場成長。在汽車設計中採用基於手勢的控制是促進市場成長的一個顯著趨勢。然而,創建能夠準確解釋各種手勢的複雜演算法在技術上可能很困難並且是一個障礙。市場參與企業正在開發更直覺的手勢語言並改進用戶介面,以提高用戶接受度和易用性。我們也正在開發一種低功耗手勢姿態辨識系統,以便整合到更廣泛的行動和穿戴式裝置中。醫療和衛生應用領域正在發生重大創新,出於衛生和安全原因,非接觸式控制至關重要。
主要市場統計 | |
---|---|
基準年[2023] | 259.3億美元 |
預測年份 [2024] | 295.3億美元 |
預測年份 [2030] | 673.5億美元 |
複合年成長率(%) | 14.60% |
具有觸覺觸覺回饋功能的非接觸式功能技術的進步
基於觸控的技術主要使用觸控螢幕或墊片,允許使用者透過直接觸摸發出命令。它通常以運動手勢和多點觸控系統的形式用於個人計算設備、智慧型手機、主機和汽車導航系統。非接觸式系統透過各種技術識別和解釋人類手勢,而無需直接觸摸設備。此類別包括 2D 和 3D 感測技術,通常用於需要衛生、使用者便利性和可訪問性的應用。非接觸式技術包括基於攝影機的技術、毫米波 (mmWave) 技術、接近感測器、RFID 技術和語音援助。毫米波感測器的工作原理是發射無線電波,無線電波被物體反射並被感測器的接收器捕獲。透過分析這些反射訊號的飛行時間 (ToF) 和相移,毫米波感測器可以高精度檢測物體的位置、速度和範圍。毫米波感測器可以區分手勢姿態辨識系統中複雜的手部動作和簡單的手勢。這種敏感性使得直覺和互動式介面的開發成為可能,特別是在基於觸控的互動不切實際或不衛生的環境中。觸控式和非觸控式辨識技術可滿足不同的市場需求,通常是互補而非競爭。基於觸控的系統提供精確的控制,非常適合需要精確輸入的個人裝置和使用案例。相較之下,非接觸式系統更衛生,並且可能提供更無縫的用戶體驗,使其適合公共和共用環境以及無需物理接觸即可控制設備。
手勢類型:在行動技術中採用手勢的趨勢不斷成長
身體手勢姿態辨識解釋人體運動,包括姿勢、腿部運動和整體身體動態。該技術通常用於遊戲、醫療保健和智慧家庭系統。使用者需要在免持操作很重要的環境中進行身體手勢控制,例如在手術室或在運動等身體活動期間。與手勢和臉部表情相比,身體手勢姿態辨識通常需要更複雜的演算法和強大的感測器來捕捉和解釋各種運動,這使得它在家用電子電器,儘管並不常見,但在專業應用中很普及。臉部表情技術可偵測並解釋臉部動作和情緒,廣泛應用於智慧型手機安全、汽車輔助器和監控、社交機器人等領域。消費者喜歡將臉部表情辨識用於需要情緒智商和個人化的應用,例如改善設備和客戶服務的使用者體驗。手勢是對手和手指運動的解釋,通常用於在沒有身體接觸的情況下操作智慧型手機、電視和電腦等設備。與身體手勢和臉部表情系統相比,手勢姿態辨識技術往往更容易使用,也更容易整合到各種設備中。它們在複雜性和易用性之間取得了平衡,在利基市場和主流市場中都很常見。
採用線上系統來執行需要類型等效運算能力的複雜手勢姿態辨識任務
離線手勢姿態辨識系統通常是獨立於網際網路連線運作的解決方案。它包括可以識別和解釋人類手勢的硬體和軟體組件,無需與基於雲端基礎的伺服器進行即時資料交換。它非常適合網路連線不穩定或無網路連線的區域,無需依賴外部網路即可提供一致的效能。線上手勢姿態辨識系統是指需要活躍的網路連線才能發揮最佳功能的解決方案。這些解決方案通常利用雲端運算來處理大型資料集,並利用機器學習演算法來增強手勢姿態辨識能力。離線解決方案在安全性和可靠性方面具有優勢,而線上解決方案在可擴展性以及與其他雲端基礎的服務的整合方面具有優勢。線上系統提供了一個可以輕鬆擴展的框架,適用於需要可擴展性的計劃,例如公共基礎設施或大型活動。離線和線上解決方案的選擇很大程度上取決於具體的使用案例、技術的使用環境以及可用於整合和維護的資源。
整合手勢姿態辨識技術,實現應用無縫且安全的使用者體驗
手勢姿態辨識和非接觸式感測技術的生物辨識應用主要用於識別和存取控制。這些技術結合了安全性、便利性和衛生性,這在機場、職場和公共設施等環境中尤其重要。此細分市場包括臉部辨識、語音控制、虹膜掃描、非接觸式指紋感應器等。對基於生物識別的應用程式的偏好是由於安全性和用戶身份驗證的提高。這些系統透過使用獨特的生物特徵進行身份驗證,減少了身份盜竊和未授權存取的可能性。衛生設備應用包括自動水龍頭、馬桶清洗、乾手器和皂液器。它們主要用於公共衛生間、醫療機構和食品服務機構,以保持衛生並防止病原體傳播。公共衛生意識的提高和防止交叉污染的需要推動了此類應用。非接觸式感測技術可最大限度地減少與表面的接觸並降低疾病傳播的風險。生物辨識技術透過增強使用者身份驗證和個人化提供了額外的好處。相較之下,衛浴設備主要注重的是健康和便利。
最終用戶:將手勢姿態辨識和非接觸式感測應用於家用電器,以提供與電子設備更直覺、無縫的互動。
廣告和通訊業專注手勢姿態辨識和非接觸式感測技術如何實現互動式廣告並增強溝通方式。隨著對更具吸引力和沈浸式體驗的需求,這些技術擴大應用於數位電子看板、互動式資訊亭和體驗式行銷宣傳活動。在汽車產業,手勢姿態辨識系統正在成為增加駕駛者便利性和提高道路安全的標準。為了最大限度地減少駕駛時的干擾,人們開發了用於各種汽車功能的非接觸式控制裝置。消費性電子產品構成了手勢姿態辨識的主要市場,應用於智慧型手機、平板電腦、遊戲機和智慧家居設備。手勢姿態辨識對於現代防禦系統控制複雜機械和訓練互動可以提高安全性和操作效率。在金融和銀行領域,手勢姿態辨識可用於改善客戶服務並確保金融交易安全。銀行正在 ATM 上引入非接觸式介面和互動式顯示螢幕,以促進衛生和用戶便利。世界各地的政府正在將手勢姿態辨識用於各種應用,包括公共服務、安全和邊境管制。高效、安全地存取政府設施和服務的需求正在推動這些技術的採用。醫療保健產業從手勢姿態辨識中受益匪淺,尤其是非接觸式互動在無菌環境中非常重要。外科醫生可以在不影響無菌性的情況下操作儀器並查看患者資料,這對於預防感染至關重要。
區域洞察
在美洲,這些技術已大量融入消費性電子、汽車和醫療保健領域。該地區不斷成長的智慧家庭市場擴大採用非接觸式感測來提高可及性和便利性。美洲擁有多家設計和製造手勢姿態辨識和非接觸式感測設備的領先公司,這些公司得到了強大的研發投資和人工智慧和機器學習等新技術採用的支持。在亞太地區,人們非常重視在娛樂和遊戲產業中實施手勢姿態辨識,這主要是由於該地區強大的消費群。精通技術的人群正在推動對更直覺的用戶介面的需求。在零售和銀行業,出於健康問題和衛生原因,互動式資訊亭和 ATM 越來越變得非接觸式。中國、韓國和台灣等國家已成為製造強國,提供具成本競爭力的生產能力。在EMEA(歐洲、中東和非洲)地區,歐洲汽車製造商正在整合ADAS(高級駕駛輔助系統),顯示汽車領域對手勢姿態辨識的需求強勁。此外,公共衛生是該地區的首要任務,公共設施中安裝了非接觸式系統以實現衛生互動。該地區也受益於一系列支持汽車和醫療保健等技術先進產業的政府措施。
FPNV定位矩陣
FPNV定位矩陣對於評估手勢姿態辨識和非接觸式感測市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可對手勢姿態辨識和非接觸式感測市場中供應商的現狀進行深入而詳細的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4. 競爭評估和情報:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況和製造能力進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1.手勢姿態辨識和非接觸式感測市場的市場規模和預測是多少?
2.在手勢姿態辨識和非接觸式感測市場的預測期內,有哪些產品、細分市場、應用和領域需要考慮投資?
3.手勢姿態辨識和非接觸式感測市場的技術趨勢和法規結構是什麼?
4.手勢姿態辨識和非接觸式感測市場主要廠商的市場佔有率是多少?
5. 進入手勢姿態辨識和非接觸式感測市場的合適型態和策略手段是什麼?
[183 Pages Report] The Gesture Recognition & Touchless Sensing Market size was estimated at USD 25.93 billion in 2023 and expected to reach USD 29.53 billion in 2024, at a CAGR 14.60% to reach USD 67.35 billion by 2030.
Gesture recognition and touchless sensing technologies pertain to the interpretation of human gestures and movements by electronic devices. These technologies enable users to interact with machines and computers in a natural and intuitive way without the need for touch-based input devices such as keyboards, mice, or touchscreens. Gesture recognition systems capture and analyze the movements of the human body, or parts of it like hands or face, to command and control a device or an application. An increasing consumer preference for touchless interactions, partly accelerated by health concerns due to the COVID-19 pandemic, is driving market expansion. The proliferation of smart home devices and wearables that utilize gesture recognition is further boosting the market growth. The adoption of gesture-based controls in automotive designs is a notable trend contributing to market growth. However, crafting sophisticated algorithms that can accurately interpret a wide range of gestures is technically challenging and can be a barrier. Market players are creating more intuitive gesture languages and improving user interfaces to increase user acceptance and ease of use. They are also developing low-power gesture recognition systems to enable their integration into a wider array of portable and wearable devices. There are tremendous innovations in medical and sanitary applications where touchless control is essential for hygiene and safety.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 25.93 billion |
Estimated Year [2024] | USD 29.53 billion |
Forecast Year [2030] | USD 67.35 billion |
CAGR (%) | 14.60% |
Technology: Advancements in touchless capabilities with tactile feedback capabilities
Touch-based technologies allow users to give commands through direct touch interactions, mainly using touchscreens and touchpads. They are commonly used in personal computing devices, smartphones, consoles, and navigation systems in vehicles in the form of motion gesture and multi-touch systems. Touchless systems rely on recognizing and interpreting human gestures through various technologies without requiring direct contact with a device. This category includes both 2D and 3D sensing technologies and is often used in applications requiring hygiene, user convenience, and accessibility. Touchless technologies include camera-based technology, millimeter wave (mmWave) technology, proximity sensors, RFID technology, and voice assistance. mmWave sensors operate by emitting radio waves that reflect off objects and are then captured by the sensor's receivers. By analyzing the time of flight (ToF) and the phase shift of these reflected signals, mmWave sensors can detect the position, velocity, and range of objects with high precision. MmWave sensors can distinguish between complex hand movements and simple gestures in gesture recognition systems. This sensitivity allows for the development of intuitive and interactive interfaces, particularly in environments where touch-based interaction is impractical or unsanitary. Touch-based and touchless recognition technologies serve different market needs and are often complementary rather than competitive. Touch-based systems offer precise control and are ideal for personal devices and use cases requiring exact inputs. In contrast, touchless systems provide a hygienic and potentially more seamless user experience, suitable for public or shared environments and for controlling devices without physical contact.
Gesture Type: Rising trend towards adopting hand gestures in mobile technology
Body gesture recognition involves interpreting human body movements, including postures, leg movements, and overall body dynamics. This technology is often used in gaming, healthcare, and smart home systems. Users demand body gesture controls in environments where hands-free operation is crucial, such as in operating rooms or during physical activities, including exercises. Compared to hand gestures and face expressions, body gesture recognition typically requires more complex algorithms and powerful sensors to capture and interpret a broad range of motions, making it slightly less common in consumer electronics but more prevalent in specialized applications. Face expression technology detects and interprets facial movements and emotions, and it is widely used in smartphone security, automotive driver monitoring, and social robotics. Consumers favor face expression recognition for applications requiring emotional intelligence or personalization, such as user experience enhancement on devices or in customer service. Hand gestures involve the interpretation of hand and finger movements and are commonly used for controlling devices such as smartphones, TVs, and computers without physical contact. Hand gesture recognition technologies tend to be more accessible and easier to integrate into a wide range of devices compared to body gesture and face expression systems. They offer a balance between complexity and usability, often seen in both niche and mainstream markets.
Type: Adoption of online systems for complex gesture recognition tasks that require substantial computational power
Offline gesture recognition systems are typically solutions that operate independently of internet connectivity. They include hardware and software components that are capable of recognizing and interpreting human gestures without the need for real-time data exchange with cloud-based servers. They are ideal for areas with unstable or no internet connectivity, enabling consistent performance without relying on external networks. Online gesture recognition systems refer to solutions that require an active internet connection to function optimally. These solutions often leverage cloud computing to process large datasets and utilize machine learning algorithms for enhanced gesture recognition capabilities. Offline solutions offer advantages in security and reliability, while online solutions shine with their scalability and integration with other cloud-based services. Online systems provide the framework to expand effortlessly for projects that demand scalability, such as those in public infrastructure or large-scale events. The preference for either offline or online solutions depends highly on the specific use case, the environment in which the technology will be used, and the resources available for integration and maintenance.
Application: Integration of gesture recognition technologies for seamless and secure user experiences
Biometric applications of gesture recognition and touchless sensing technologies are primarily used for identification and access control. They offer a combination of security, convenience, and hygiene, particularly crucial in settings like airports, workplaces, and public buildings. This segment includes facial recognition, voice control, iris scans, and touchless fingerprint sensors. The preference for biometrics-based applications often revolves around enhanced security and user authentication. These systems reduce the chances of identity theft and unauthorized access by using unique biological traits for verification. Sanitary equipment applications include automated faucets, toilet flushes, hand dryers, and soap dispensers. They are primarily used in public restrooms, healthcare facilities, and food service establishments to maintain hygiene and prevent the spread of pathogens. These applications are driven by the public's increasing awareness of hygiene and the need to prevent cross-contamination. Touchless sensing technology ensures minimal contact with surfaces, lowering the disease transmission risk. Biometrics offers additional benefits by enhancing user authentication and personalization. In contrast, the primary focus for sanitary equipment is on health and convenience.
End-User: Use of gesture recognition and touchless sensing in consumer electronics to offer more intuitive and seamless interaction with electronic devices
The advertisement & communication industry focuses on how gesture recognition and touchless sensing technologies enable interactive advertising and enhance communication methods. With the need for more engaging and immersive experiences, such technologies are increasingly being adopted for digital signage, interactive kiosks, and experiential marketing campaigns. In the automotive industry, gesture recognition systems are becoming a standard for enhancing driver convenience and improving road safety. The need to minimize distractions while driving has led to the development of touchless controls for various in-car functions. Consumer electronics constitute a major market for gesture recognition, with applications in smartphones, tablets, gaming consoles, and smart home devices. Gesture recognition is critical in modern defense systems for controlling complex machinery and for training simulations, where touchless interaction can provide an added layer of security and operational efficiency. In the finance and banking sector, gesture recognition can be applied to enhance customer service and secure financial transactions. Banks are implementing touchless interfaces in ATMs and interactive displays to promote hygiene and user convenience. Governments worldwide utilize gesture recognition for various applications, including public services, security, and border control. The need for efficient and secure access to government facilities and services is augmenting the adoption of these technologies. The healthcare industry benefits greatly from gesture recognition, especially in sterile environments where touchless interaction is crucial. Surgeons can control equipment and review patient data without compromising sterility, which is vital for preventing infections.
Regional Insights
In the Americas, these technologies are heavily integrated into consumer electronics, automotive, and healthcare sectors. The growing smart home market within this region increasingly adopts touchless sensing for improved accessibility and convenience. The Americas hosts several leading companies that design and manufacture gesture recognition and touchless sensing devices, underpinned by strong R&D investment and adoption of novel technologies like artificial intelligence and machine learning. In APAC, there is a significant emphasis on deploying gesture recognition within the entertainment and gaming industries, primarily due to the region's strong consumer base. The tech-savvy population here is driving demand for more intuitive user interfaces. There is uptake in the retail and banking sectors, where interactive kiosks and ATMs are increasingly touchless for sanitary reasons amidst health concerns. Countries such as China, South Korea, and Taiwan have become manufacturing powerhouses, offering cost-competitive production capabilities. The EMEA region demonstrates a robust demand for gesture recognition in the automotive sector, with European car manufacturers integrating advanced driver assistance systems. Furthermore, there is a focus on public health within this region, prompting the installation of touchless systems in public amenities for hygienic interactions. This region also benefits from a number of government initiatives supporting technologically advanced sectors such as automotive and healthcare.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Gesture Recognition & Touchless Sensing Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Gesture Recognition & Touchless Sensing Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Gesture Recognition & Touchless Sensing Market, highlighting leading vendors and their innovative profiles. These include Apple Inc., Cipia, Cognitec Systems GmbH, Elliptic Laboratories, ESPROS Photonics Corporation, Fibaro Group SA, Google LLC by Alphabet Inc., HID Global Corporation by ASSA ABLOY, Infineon Technologies, iProov Ltd., IrisGuard, Jabil Inc., KaiKuTeK by JMicron Technology Corporation, Microchip Technology Inc., Microsoft Corporation, Nimble VR by Oculus, Oblong Industries Inc., OmniVision Technologies, Inc., PISON Technology, Pmdtechnologies AG, Qualcomm Incorporated, Sony Corporation, Synaptics Inc., Ultraleap, and Visteon Corp..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Gesture Recognition & Touchless Sensing Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Gesture Recognition & Touchless Sensing Market?
3. What are the technology trends and regulatory frameworks in the Gesture Recognition & Touchless Sensing Market?
4. What is the market share of the leading vendors in the Gesture Recognition & Touchless Sensing Market?
5. Which modes and strategic moves are suitable for entering the Gesture Recognition & Touchless Sensing Market?