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1733657

情感運算市場規模（按技術、組件、最終用途行業、區域範圍和預測）

Affective Computing Market Size By Technology, By Component, By End-use Industry (Automotive, Banking, Financial Services & Insurance, Government, IT & Telecom, Media & Entertainment, Retail & E-commerce), By Geographic Scope And Forecast

出版日期: 2025年04月29日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

情感運算市場規模及預測

2024 年情感運算市場規模價值 937.1 億美元，預計到 2032 年將達到 9,223.9 億美元，在 2026-2032 年預測期內的複合年成長率為 36.50%。

情感運算是一項旨在使機器能夠感知、解釋和模仿人類情感的技術領域。這涉及結合人工智慧 (AI)、機器學習和一系列感測技術，以開發能夠從面部表情、語調和生理訊號中識別情緒指標的系統。

情感運算可應用於各個行業，包括醫療保健（用於監測心理健康和協助患者護理）、汽車（用於改善駕駛員安全性和體驗）、客戶服務（用於實現情感感知互動）以及教育（用於個人化學習體驗）。

此外，它正在迅速應用於娛樂和遊戲領域，以創造更具沉浸感和活力的體驗。

全球情感運算市場動態

影響情感運算市場的關鍵市場動態包括：

關鍵市場促進因素

醫療保健領域對情緒識別系統的需求不斷增加：情緒運算市場受到對心理健康支持和情緒健康解決方案日益成長的需求的推動。根據世界衛生組織 (WHO) 的數據，憂鬱症影響全球約 2.8 億人，焦慮症影響全球約 3.01 億人。在心理健康應用中使用情緒運算可以幫助早期發現和管理這些疾病，從而推動市場成長。

客戶服務中對情感識別的需求不斷增加：對更好的客戶體驗的需求正在推動情感運算在客戶服務應用中的使用。 Gartner 預測，到 2026 年，75% 的客戶服務電話將根據其當前情緒狀態獲得客製化的回應。人們對情緒智商連結的期望不斷提高，推動著情感運算市場的成長。

人工智慧和機器學習技術的日益普及：情感運算市場主要受到人工智慧和機器學習技術的日益普及的推動。根據 Verified Market Research 的調查，全球人工智慧市場規模預計到 2023 年將達到 2,295.2 億美元，2023 年至 2030 年的複合年成長率為 36.4%。預計人工智慧技術的興起將直接促進情感運算市場的成長。

主要問題

高昂的開發和實施成本：高昂的開發和實施成本是情感運算市場發展的障礙。開發先進演算法、收集數據和進行研發的成本是巨大的。這些成本阻礙了中小企業進入市場，減緩了整體市場的擴張。

隱私和資料安全：隱私和資料安全問題是情感運算市場的主要限制。由於它依賴於收集和分析情緒數據，使用者對採用情緒計算系統持謹慎態度，因為他們擔心自己的個人資訊被濫用或未授權存取。管理資料隱私的法律規範也在擴大，為產業內的公司帶來了額外的合規挑戰，這可能會阻礙市場成長。

主要趨勢

與物聯網設備的整合度不斷提高：情感運算市場受益於物聯網設備的日益普及，這些設備可在智慧家庭自動化、語音控制工作站和導航系統中實現手勢控制。由於情感運算能夠實現更自然、更直覺的人機互動，與車載娛樂系統的整合可能會在未來推動市場成長。

人工智慧和機器學習的進步：人工智慧 (AI) 和機器學習 (ML) 演算法的不斷改進將提高情緒運算系統的準確性和可靠性。改進的臉部辨識、語音分析和情緒偵測能力可以更準確地理解人類的情緒。隨著人工智慧和機器學習的進步，情感運算可能會變得更加複雜和廣泛。

個人化體驗的需求不斷增加：各行各業都對人與科技之間的個人化、情感智慧互動有著很高的需求。情感運算能夠根據個人偏好和情緒狀態創造產品和服務。這一趨勢在醫療保健、教育、娛樂和客戶服務等行業尤為明顯，情感運算可以提高消費者的參與和愉悅感。

Affective computing is a field of technology that aims to help machines perceive, interpret, and imitate human emotions. This entails combining artificial intelligence (AI), machine learning, and numerous sensory technologies to develop systems that can recognize emotional indicators from facial expressions, voice tones, and physiological signals.

Affective computing has applications in a variety of industries, including healthcare, where it aids in mental health monitoring and patient care; automotive, where it improves driver safety and experience; customer service, where it enables emotion-aware interactions; and education, where it personalizes learning experiences.

Furthermore, it is rapidly being used in entertainment and gaming to create more immersive and dynamic experiences.

Global Affective Computing Market Dynamics

The key market dynamics that are shaping the affective computing market include:

Key Market Drivers

Increasing Demand for Emotion-aware Systems in Healthcare: The affective computing market is driven by an increasing need for mental health support and emotional well-being solutions. According to the World Health Organization (WHO), depression affects roughly 280 million individuals worldwide, while anxiety disorders impact approximately 301 million people. The use of affective computing in mental health applications might aid in the early detection and management of these illnesses, hence driving market growth.

Rising Demand for Emotion Recognition in Customer Service: The demand for better customer experiences is driving the use of affective computing in customer service applications. According to Gartner, by 2026, 75% of customers who call customer service anticipate receiving a tailored engagement based on their present emotional state. The growing expectation of emotionally intelligent connections is driving growth in the affective computing market.

Increasing Adoption of AI and Machine Learning Technologies: The affective computing market is being driven primarily by the rising deployment of AI and machine learning technologies. According to Verified Market Research, the global artificial intelligence market was worth USD 229.52 billion in 2023 and is expected to increase at a CAGR of 36.4% between 2023 and 2030. This increase in AI technologies is predicted to directly contribute to the growth of the affective computing market.

Key Challenges:

High Development and Implementation Costs: High development and implementation expenses present a hurdle to the affective computing market. The costs associated with developing advanced algorithms, collecting data, and undertaking research & development are significant. These costs dissuade smaller enterprises from entering the market and slow down the overall expansion of the market.

Privacy and Data Security: Privacy and data security concerns are a big limitation on the affective computing market. Users are aware of embracing affective computing systems because they rely on the collecting and analysis of sensitive emotional data, raising concerns about misuse or illegal access to their personal information. Regulatory frameworks governing data privacy are also expanding, posing extra compliance problems for businesses in this industry and potentially impeding market growth.

Key Trends:

Growing Integration with IoT Devices: The affective computing market is benefiting from the growing popularity of IoT devices that enable gesture control in smart home automation, voice-controlled workstations, and navigation systems. The integration of in-car entertainment systems is likely to boost market growth in the future years, as affective computing allows for more natural and intuitive human-machine interactions.

Advancements in AI and Machine Learning: Continuous improvements in artificial intelligence (AI) and machine learning (ML) algorithms improve the accuracy and dependability of affective computing systems. Improved facial recognition, speech analysis, and sentiment detection capabilities allow for a more accurate understanding of human emotions. As AI and machine learning advance, affective computing will become more complex and extensively used.

Rising Demand for Personalized Experiences: Personalized and emotionally intelligent interactions between humans and technology are in high demand across a wide range of businesses. Affective computing enables the creation of products and services based on individual preferences and emotional states. This trend is especially apparent in industries like healthcare, education, entertainment, and customer service, where affective computing improves consumer engagement and pleasure.

Global Affective Computing Market Regional Analysis

Here is a more detailed regional analysis of the affective computing market:

North America:

According to Verified Market Research, North America is estimated to dominate in affective computing market over the forecast period. North America is the leader in technology innovation and affective computing research. According to the National Science Foundation's 2023 report, the United States alone spent more than $667 billion on research and development across all sectors in 2021. This significant investment in R&D, combined with the presence of large technology businesses and research institutions, is propelling the region's affective computing market forward.

The healthcare industry in North America is quickly integrating AI and affective computing technology. According to the American Hospital Association, 85% of healthcare executives predict that artificial intelligence will significantly enhance patient care by 2026. Also, the United States Food and Drug Administration (FDA) has approved over 100 AI-based medical solutions as of 2023, many of which integrate characteristics of affective computing for patient monitoring and diagnosis.

Furthermore, North American retailers are increasingly using emotion AI to improve their consumer experiences. According to a National Retail Federation Survey, 79% of US merchants intend to invest in AI and machine learning technology by 2025, with emotion identification a top priority. Amazon revealed that its personalized recommendation system, which combines features of affective computing, accounts for 35% of its total sales, demonstrating the importance of these technologies in the retail sector.

Asia Pacific:

The Asia Pacific region is estimated to exhibit the highest growth within the affective computing market during the forecast period. The increasing recognition of mental health issues in the Asia Pacific is boosting the demand for affective computing solutions. According to the World Health Organization, by 2021, around 20% of adults in the Western Pacific Region will have a mental health issue. The growing understanding of mental health challenges is driving the development of emotional AI technologies for early identification and management of mental health issues, resulting in market growth.

Furthermore, the Asia Pacific region is experiencing a spike in AI usage, which is driving growth in the affective computing market. According to the International Data Corporation (IDC), investment in AI systems in the Asia-Pacific region (excluding Japan) is predicted to reach USD 32 Billion by 2025, with a compound annual growth rate (CAGR) of 30.8% between 2020 and 2025. This increasing acceptance of AI technology is driving the growth of affective computing applications in a variety of industries throughout the region.

Europe:

Europe region is estimated to exhibit substantial growth during the forecast period. Europe has made significant investments in AI and robotics research, which directly affects the affective computing market. According to the European Commission, the EU plans to invest €20 billion per year in artificial intelligence over the next decade. This large investment is likely to increase research and development in affective computing technologies, resulting in market growth for the region.

The European automobile sector is increasingly using emotion AI to improve driver safety and experience. According to European Automobile Manufacturers Association (ACEA) research, by 2023, approximately 10% of new cars sold in the EU would have advanced driver monitoring systems, many of which contain emotion recognition technology. This trend is projected to accelerate, boosting the affective computing market in Europe.

Furthermore, the mental health crisis in Europe is driving the use of affective computing technology to provide mental health support. According to the World Health Organization's European Regional Office, around 84 million people in the European Region had mental health issues in 2021. This high prevalence is driving the development and implementation of emotion-aware digital health solutions, which is considerably contributing to the growth of the affective computing market in Europe.

Global Affective Computing Market: Segmentation Analysis

The Affective Computing Market is segmented based on Technology, Component, End-User Industry, and Geography.

Affective Computing Market, By Technology

Touch-based
Touchless

Based on Technology, the market is segmented into Touch-based and Touchless. The touch-based segment is estimated to dominate the affective computing market. Touch-based technologies are critical in the deployment of affective computing solutions since they often involve hardware components such as sensors, cameras, and controllers to detect facial emotions and physical gestures. The touch-based segment is projected to continue to grow significantly as the market advances.

Affective Computing Market, By Component

Hardware
Cameras
Sensors
Storage Devices & Processors
Others
Software
Analytics Software
Enterprise Software
Facial Recognition
Gesture Recognition
Speech Recognition

Based on Component, the market is divided into Hardware and Software. The hardware segment, particularly the camera is estimated to dominate the market over the forecast period. This dominance is being driven by an increase in demand for advanced video surveillance systems, as well as the integration of cameras into a variety of applications such as smart devices and security systems. Cameras play an important part in affective computing because they enable real-time emotion recognition and analysis, which improves user interaction and engagement in a variety of industries, including healthcare and retail.

Affective Computing Market, By End-User Industry

Automotive
Banking, Financial Services and Insurance (BFSI)
Government
Healthcare
IT & Telecom
Media & Entertainment
Retail & E-commerce
Others

Based on the End-User Industry, the affective computing market is divided into Automotive, BFSI, Government, Healthcare, IT& Telecom, Media & Entertainment, Retail & E-commerce, and Others. The healthcare segment is estimated to dominate the market over the forecast period due to the rising use of affective computing technologies in mental health applications, patient monitoring, and treatments. The ability to evaluate emotional states and responses enables healthcare providers to give more individualized care, resulting in better patient outcomes. Furthermore, the growing need for telehealth solutions and remote patient monitoring accelerates the adoption of affective computing in the healthcare industry.

Affective Computing Market, By Geography

North America
Europe
Asia Pacific
Rest of the World

Based on Geography, the Affective Computing Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America is expected to dominate the affective computing market during the forecasted period owing to its superior technological infrastructure and high concentration of important players in the sector. The region benefits from strong R&D investments, particularly in artificial intelligence and machine learning, both of which are critical for affective computing applications. Furthermore, rising demand for emotion detection technology in a variety of industries, including healthcare and automotive, strengthens North America's market leadership.

Key Players

The "Affective Computing Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Affectiva, Beyond Verbal, Emotient, Galvanic, iMotions, OpenFace, OpenAI, Parrot Analytics, Realeyes, Sensory, and Synapse.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Affective Computing Market Recent Developments
In February 2021, IBM Corporation partnered with Shree Cement Limited to host its database and key software products on IBM POWER9-based Power Systems running Red Hat and AIX. Shree Cement uses Oracle Enterprise Command Center on Red Hat Enterprise Linux to automate supply chain processes. This change will enhance the organization's operational decisions, procedures, supply chain efficiency, and cost and revenue management.