市場調查報告書
商品編碼
1470869
情緒偵測與識別市場:按技術、組件、應用領域、產業分類 - 2024-2030 年全球預測Emotion Detection & Recognition Market by Technology (Biosensors Technology, Feature Extraction & 3D Modelling, Machine Learning), Component (Hardware, Services, Software), Application Area, Verticals - Global Forecast 2024-2030 |
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預計2023年情緒檢測與辨識市場規模為429億美元,預計2024年將達到482.4億美元,2030年將達到1052.6億美元,複合年成長率為13.67%。
情緒檢測和識別支持透過各種技術手段識別和解釋人類情緒。情緒檢測和識別系統透過分析臉部表情、語氣和生理線索來識別情緒狀態,為各種應用提供有價值的見解。該市場是由人機互動、個人化行銷和心理健康監測領域對情緒智商不斷成長的需求所推動的。情緒檢測和識別在醫療保健和零售等行業的整合,以及改善客戶體驗和基於情緒洞察客製化服務的願望正在推動情緒檢測和識別市場的成長。對隱私和同意的道德擔憂,以及有偏見的演算法可能導致不準確的情緒識別,正在阻礙市場的成長。此外,將情感識別整合到消費者技術中,為個人化、同理心的互動打開了大門,並改善了使用者體驗。隨著市場的不斷發展,在利用潛在應用的同時負責任地解決道德問題是情緒檢測和識別市場持續成長的關鍵機會。
主要市場統計 | |
---|---|
基準年[2023] | 429億美元 |
預測年份 [2024] | 482.4億美元 |
預測年份 [2030] | 1052.6億美元 |
複合年成長率(%) | 13.67% |
擴大情緒檢測和識別軟體的使用,從組件原始資料推斷情緒洞察
情緒檢測和識別硬體組件至關重要,因為它們包含用於捕獲情緒反應的實體設備。其中包括生物辨識感測器、紅外線攝影機和定量測量生理反應的穿戴式設備。硬體仍然是 EDR 的基礎並捕獲準確的生理資料。服務部分包括整合和維護支援、諮詢服務和培訓援助。這些服務支援您的 EDR 系統的成功實施和運作。軟體部門是EDR的關鍵組成部分,負責處理所獲取的資料、模式識別和情緒分析。部署機器學習和人工智慧技術以實現準確的情緒識別和預測。該軟體提供了從原始資料推斷情感洞察所需的電腦製。
技術:特徵提取與3D建模的普及,真實模擬人類情感表達。
生物感測器技術是情緒偵測和辨識領域的關鍵要素,它利用生理參數來識別情緒狀態。複雜的生物感測器可偵測心率、體溫、皮膚電反應等的變化,提供詳細且準確的情緒讀數。透過特徵提取和 3D 建模創建忠實模仿人類情感表達的模擬。透過根據關鍵臉部特徵和手勢創建參數來分析和理解情緒。機器學習是情緒偵測和辨識的核心,它採用的演算法可以分析大量情緒資料、辨識模式並預測一段時間內的結果。自然語言處理(NLP)強調識別和分析透過文字傳達的情感的能力。 NLP 可以深入了解客戶情緒,這在行銷和心理健康領域很有價值。這些技術的整合和進步具有增強情緒檢測和識別的綜合潛力。
應用領域:由於遠端患者監護的增加,醫療保健領域的應用範圍擴大
娛樂和消費性電子領域的情緒檢測技術通常用於促進用戶互動性和改善遊戲體驗。情緒偵測技術對於執法、監視和打擊犯罪的監測至關重要。行銷和廣告產業利用情緒檢測技術來洞察客戶行為、預測趨勢並調整行銷策略。情緒檢測和識別在醫療緊急情況下也至關重要,可以幫助醫療保健提供者了解患者的情緒狀態並幫助診斷。研究機構和大學正在利用情緒檢測和識別來推進人機互動、神經心理學和人工智慧的研究。相較之下,由於對個人化和互動遊戲體驗的需求不斷成長,娛樂和消費性電子產品是成長最快的領域。然而,執法、監視和監測具有最大的潛在影響,會大規模影響安全和保障。行銷和廣告將極大地受益於情緒檢測,從而可以進行更有針對性和更有效的廣告。然而,醫療緊急情況下情緒識別的顯著成長反映了醫療保健格局的快速發展以及對遠端醫療和遠端患者監護日益成長的興趣。
按行業分類:大量利用情緒偵測技術增強個人化購物體驗
汽車行業擴大利用情感識別來個性化駕駛體驗並確保道路安全。情緒檢測可增強銀行、金融服務和保險 (BFSI) 領域的客戶服務。情緒識別技術極大地簡化了醫療保健中的診斷和治療。資訊科技(IT)和ITES公司也開始使用情緒偵測技術來改善使用者體驗。在媒體和娛樂領域,情感識別軟體用於衡量觀眾的偏好和反應。零售商和電子商務營運商正在將情感識別軟體整合到他們的客戶體驗框架中,以更清晰地了解消費者的行為和偏好。通訊開始整合情緒偵測技術來分析通話資料並改善客戶服務。情緒偵測和識別將徹底改變各個垂直市場,並透過個人化互動改善客戶體驗。
區域洞察
在美洲,隨著人工智慧和生物識別技術在各個行業的採用不斷增加,情緒檢測和識別市場正在顯著成長。北美地區擴大採用先進技術來改善人機互動和客戶體驗,預計這將成為市場成長的基礎。市場受益於醫療保健等領域對個人化服務和應用不斷成長的需求,其中情感洞察有助於心理健康診斷。在亞太地區,由於人工智慧和生物識別技術的日益採用,情緒檢測和識別市場正在快速成長。中國、日本和印度等國家正在各行業積極採用 EDR 解決方案,包括醫療保健、娛樂和零售。該地區受益於精通技術的人口以及專注於透過個人化互動改善用戶體驗。由於存在強大的法律規範解決隱私問題並促進 EDR 技術的負責任實施,歐洲、中東和非洲地區的情緒檢測和識別市場正在顯著成長。隨著公司努力提高客戶參與和用戶體驗,歐洲、中東和非洲地區仍然是透過技術創新和道德考量來塑造 EDR 市場軌蹟的關鍵地區。
FPNV定位矩陣
FPNV定位矩陣對於評估情緒偵測和識別市場至關重要。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,可以對情緒檢測和識別市場中供應商的現狀進行深入而深入的研究。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。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.競爭評估及資訊: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、製造能力等進行綜合評估。
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.情緒偵測/辨識市場的市場規模和預測是多少?
2.在情緒偵測和識別市場的預測期內,需要考慮投資哪些產品、細分市場、應用程式和領域?
3.情緒偵測/辨識市場的技術趨勢和法規結構是什麼?
4.情緒偵測與辨識市場主要廠商的市場佔有率如何?
5. 進入情緒偵測和辨識市場的合適型態和策略手段是什麼?
[187 Pages Report] The Emotion Detection & Recognition Market size was estimated at USD 42.90 billion in 2023 and expected to reach USD 48.24 billion in 2024, at a CAGR 13.67% to reach USD 105.26 billion by 2030.
Emotion detection & recognition help in the identification and interpretation of human emotions through various technological means. Emotion detection & recognition systems analyze facial expressions, voice tones, and physiological cues to discern emotional states, providing valuable insights for diverse applications. The market is propelled by an increasing demand for emotional intelligence in human-machine interactions, personalized marketing, and mental health monitoring. The integration of emotion detection & recognition in sectors such as healthcare and retail, driven by the desire to enhance customer experiences and tailor services based on emotional insights, is driving the growth of the emotion detection & recognition market. Ethical concerns related to privacy and consent, as well as the potential for biased algorithms leading to inaccurate emotion recognition, hinder the growth of the market. Additionally, the integration of emotion recognition in consumer technology opens doors for personalized and empathetic interactions, enhancing user experiences. As the market continues to evolve, responsibly navigating ethical concerns while harnessing the potential applications presents a crucial opportunity for the sustained growth of the emotion detection & recognition market.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 42.90 billion |
Estimated Year [2024] | USD 48.24 billion |
Forecast Year [2030] | USD 105.26 billion |
CAGR (%) | 13.67% |
Component: Expanding usage of emotion detection & recognition software to extrapolate emotional insights from raw data
The hardware component in emotion detection & recognition is vital as it encompasses the physical devices used in capturing emotional responses. These can be biometric sensors, infrared cameras, and wearable devices that quantitatively measure physiological reactions. Hardware remains the fundamental basis of EDR, capturing accurate physiological data. The services segment involves integration and maintenance support, consulting services, and training assistance. These services aid in the successful implementation and operation of EDR systems. The software segment is a critical EDR component, responsible for processing captured data, pattern recognition, and emotional analysis. The deployment of machine learning and artificial intelligence techniques for accurate emotion recognition and prediction. The software provides the computational mechanisms necessary to extrapolate emotional insights from raw data.
Technology: Growing popularity of feature extraction & 3D modeling for realistic simulations of human emotional expressions
Biosensor technology, a crucial component in the emotion detection & recognition field, leverages physiological parameters to identify emotional states. Sophisticated biosensors detect changes in heart rate, body temperature, and galvanic skin response, among other markers, providing detailed and precise emotional readings. Feature extraction & 3D modeling create simulations that closely mimic human emotional expressions. Emotions can be analyzed and understood by creating parameters based on key facial features and gestures. Machine learning, functioning at the heart of emotion detection & recognition, employs algorithms to analyze multitudes of emotional data, recognizing patterns and predicting outcomes over time. Natural language processing (NLP) underlines the capacity to recognize and analyze emotions conveyed through text. NLP offers an insightful examination of customer sentiments, invaluable in marketing and mental health care sectors. The integration and advancement of these technologies have an overarching potential to enhance emotion detection and recognition.
Application Area: Rising applications into healthcare sector due to the growing remote patient monitoring
Emotion detection technology in the entertainment and consumer electronics sphere is commonly used to facilitate user interactivity and enhance gaming experiences. Emotion detection technology is crucial in law enforcement, surveillance, and monitoring to combat crime. The marketing and advertising industry leverages emotion detection technology to gain insights into customer behavior, predict trends, and tailor marketing strategies. Emotion detection and recognition are also vital in medical emergencies, assisting healthcare providers in understanding patients' emotional states and aiding in diagnostics. Research institutes and universities leverage emotion detection and recognition to advance human-computer interaction, neuropsychology, and artificial intelligence studies. Comparatively, entertainment and consumer electronics are the fastest-growing sectors due to increasing demand for personalized and interactive gaming experiences. However, law enforcement, surveillance, and monitoring have the most potential for impact, influencing safety and security on a large scale. Marketing and advertising benefit immensely from emotion detection, allowing for more targeted and effective advertising. Still, the significant growth in emotion recognition in medical emergencies reflects the rapidly evolving healthcare landscape and the growing interest in telemedicine and remote patient monitoring.
Vertical: Significant utilization of emotion detection technology to enhance personalized shopping experiences
The automotive sector increasingly leverages emotion recognition to personalize the driving experience and ensure road safety. Emotion detection enhances customer services for the Banking, Financial Services, and Insurance (BFSI) sector. Emotion recognition technology considerably simplifies diagnosis and treatment in healthcare. Information Technology (IT) and ITES companies have also begun using emotional detection technology to elevate user experiences. The media and entertainment sector exploits emotion recognition software to gauge viewer preferences and reactions. Retailers and eCommerce businesses are integrating emotion recognition software into their customer experience frameworks to glean clearer insights about shopper behavior and preferences. Telecommunication has begun integrating emotion detection technology to analyze call data and improve customer service. Emotion detection and recognition profoundly reshape various market verticals, enhancing customer experiences through personalized interactions.
Regional Insights
In the Americas, the emotion detection & recognition market is experiencing significant growth, driven by the increasing adoption of artificial intelligence and biometrics across diverse industries. Increasing adoption of advanced technologies to enhance human-machine interactions and customer experiences in North America is expected to create a platform for market growth. The market benefits from the rising demand for personalized services, with applications in sectors including healthcare, where emotional insights contribute to mental health diagnostics. In the Asia-Pacific region, the emotion detection & recognition market is witnessing rapid growth, fueled by the increasing adoption of artificial intelligence and biometric technologies. Countries such as China, Japan, and India are actively incorporating EDR solutions across diverse industries, including healthcare, entertainment, and retail. The region benefits from a tech-savvy population and a strong emphasis on enhancing user experiences through personalized interactions. In the EMEA region, the emotion detection & recognition market is experiencing notable growth, driven by the presence of a robust regulatory framework that addresses privacy concerns, fostering responsible adoption of EDR technologies. As businesses strive to enhance customer engagement and user experiences, the EMEA region remains a significant region in shaping the trajectory of the EDR market through technological innovation and ethical considerations.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Emotion Detection & Recognition 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 Emotion Detection & Recognition 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 Emotion Detection & Recognition Market, highlighting leading vendors and their innovative profiles. These include Affectiva, Inc. by Smart Eye AB, AffectLab by Entropik Technologies Private Limited, Apple Inc., Ayonix, Baidu, Inc., Behavioral Signal Technologies, Inc., Beijing Megvii Technology Co., Ltd., Brainasoft, Broadcom Inc., Cognitec Systems GmbH by SALTO Group, CoolTool Inc., Datagen, Element Human Limited, Emotibot, Emozo Labs Inc., Eyeris Technologies, Inc., Fujitsu Limited, Good Vibrations Company B.V., Google LLC by Alphabet Inc, GoVivace Inc., iFLYTEK Co., Ltd., Intel Corporation, International Business Machines Corporation, iSpeech, Inc., Kairos AR, Inc., Komprehend, LumenVox GmbH, Microsoft Corporation, MorphCast, N-TECH.LAB LTD, NEC Corporation, Noldus Information Technology BV, NVISO SA, pmdtechnologies AG by ifm electronic, Sensory, Inc., Sestek by Unifonic, Sightcorp by Raydiant, Inc., SkyBiometry, Speechmatics, Tobii AB, and Visage Technologies d.o.o..
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 Emotion Detection & Recognition Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Emotion Detection & Recognition Market?
3. What are the technology trends and regulatory frameworks in the Emotion Detection & Recognition Market?
4. What is the market share of the leading vendors in the Emotion Detection & Recognition Market?
5. Which modes and strategic moves are suitable for entering the Emotion Detection & Recognition Market?