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市场调查报告书
商品编码
1384752
情感人工智慧全球市场规模、份额和行业趋势分析报告:2023-2030年按组成部分、公司规模、行业和地区分類的展望和预测Global Emotion AI Market Size, Share & Industry Trends Analysis Report By Component (Software, and Service), By Enterprise Size (Large Enterprises, Small & Medium-sized Enterprises), By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
情感人工智慧市场规模预计到 2030 年将达到 82 亿美元,预测期内CAGR为 22.3%。
然而,情感人工智慧产业标准的缺乏可能会导致情感识别系统的开发、评估和部署不一致。缺乏标准化指南和最佳实践可能会导致这些模型的开发方式不一致。公司和研究人员使用各种方法和资料来源来比较和基准解决方案。如果没有标准化的评估协议,就很难评估这些系统的效能。因此,市场缺乏标准化是影响情绪辨识系统开拓、评估和部署的重大挑战。
组件展望
按组件划分,市场分为软体和服务。 2022年,软体领域占据市场最高收益占有率。这个市场包括各种旨在识别、解释和回应人类情感和情绪的软体解决方案。这些软体应用程式使用自然语言处理、机器学习和电脑视觉来分析人类情绪。该软体以多种方式识别和解释情绪,包括面部表情、语气和文字。它的应用范围很广,从客户服务到心理健康支援。
企业展望
根据公司规模,市场分为大公司和小公司。 2022 年,中小企业部门在市场中占据了重要的收益占有率。情感人工智慧使小型企业能够了解客户情绪并更有效地做出回应。这可以实现更个人化和同理心的互动,从而培养客户忠诚度和正面的口碑。情感人工智慧可以监控员工敬业度和情绪健康,特别适合希望创造支持性职场环境的中小型企业。
产业展望
按行业划分,BFSI、医疗保健、IT 和电信、零售和电子商务、政府和国防、媒体和娱乐、汽车等。 2022年,零售和电子商务部门以最大的收益占有率主导市场。情感人工智慧用于理解和回应客户情绪,实现个人化购物体验和产品推荐。零售商正在使用它来分析实体店中的客户情绪,以帮助优化商店布局和产品放置,以提高参与度。零售公司收集客户对产品的情感回馈,为产品开发和销售策略提供资讯。
区域展望
从区域来看,我们对北美、欧洲、亚太地区和拉丁美洲地区的市场进行了分析。 2022年,北美地区以最高的收益占有率引领市场。北美市场是最大的市场之一,预计将继续成长。美国在市场成长中发挥关键作用。在北美,情感人工智慧正被各行业采用,包括医疗保健、零售、媒体、金融和科技。该技术用于客户参与、员工社会福利和内容个人化。
The Global Emotion AI Market size is expected to reach $8.2 billion by 2030, rising at a market growth of 22.3% CAGR during the forecast period.
Emotion AI can continuously monitor patients' emotional states, helping in the early detection of emotional distress and providing timely interventions. It analyzes patient feedback and sentiments to identify areas for advancement in healthcare services, facilities, and communication. Therefore, the healthcare segment will capture 6.9% share in the market by 2030. This can be integrated into telehealth solutions to gauge the emotional well-being of remote patients, especially those dealing with chronic conditions or mental health issues. It can be integrated into therapy applications to provide real-time patient and therapist feedback during remote counseling sessions. Some of the factors impacting the market are rapid advancements in AI technology, increasing use in healthcare and mental health support, and lack of standardization.
Progress in sensor technologies, natural language processing, computer vision, and emotion recognition techniques have expanded the capabilities and accuracy of emotion AI. Developing machine learning techniques, such as deep learning and neural networks, which allow for more accurate emotion recognition and analysis from multiple data sources, enhances it. Additionally, The healthcare industry uses it for applications related to mental health, patient engagement, and remote monitoring, contributing to better patient outcomes. This is used to continuously monitor the emotional states of individuals, especially those with mental health conditions. It provides valuable insights for healthcare professionals to tailor treatment plans. This, in turn, contributes to the growth of the market.
However, the absence of industry standards for emotion AI can lead to inconsistency in developing, evaluating, and deploying emotion recognition systems. The absence of standardized guidelines or best practices can lead to inconsistency in how these models are developed. Companies and researchers may use varying methodologies and data sources, challenging comparing, and benchmarking solutions. Without standardized evaluation protocols, assessing the performance of these systems can be challenging. Thus, the lack of standardization in the market is a significant challenge that affects the development, evaluation, and deployment of emotion recognition systems.
Component Outlook
By component, the market is categorized into software and service. In 2022, the software segment held the highest revenue share in the market. The market includes a variety of software solutions designed to recognize, interpret, and respond to human emotions and sentiments. These software applications analyze human emotions using natural language processing, machine learning, and computer vision. This software recognizes and interprets emotions in various forms, such as facial expressions, voice tone, and text. It is used in applications ranging from customer service to mental health support.
Enterprise Outlook
Based on enterprise size, the market is classified into large enterprises and small & medium-sized enterprises. The small and medium-sized enterprises segment acquired a substantial revenue share in the market in 2022. Emotion AI enables SMEs to understand and respond to customer emotions more effectively. This can lead to more personalized and empathetic interactions, fostering customer loyalty and positive word-of-mouth. It can monitor employee engagement and emotional well-being, particularly relevant for SMEs aiming to create supportive work environments.
Vertical Outlook
On the basis of vertical, the market is divided into BFSI, healthcare, IT & telecom, retail & e-commerce, government & defense, media & entertainment, automotive, and others. In 2022, the retail and e-commerce segment dominated the market with maximum revenue share. Emotion AI is used to understand and respond to customer emotions, allowing for personalized shopping experiences and product recommendations. Retailers use it to analyze customer emotions in physical stores, helping to optimize store layouts and product placements for better engagement. Retailers gather emotional customer feedback about their products, which inform product development and merchandising strategies.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region led the market by generating the highest revenue share. The North American market is one of the largest and is expected to continue growing. The United States plays a pivotal role in the market's growth. North America has seen strong adoption of Emotion AI across various industries, including healthcare, retail, media, finance, and technology. The technology is used for customer engagement, employee well-being, and content personalization.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Cogito Corporation, Eyeris Technologies, Inc., Apple, Inc., Smart Eye A/S (Affectiva, Inc.), NuraLogix Corporation, Realeyes OU, NVISO SA, and Emotibot Technologies Limited
Strategies Deployed in Emotion AI Market
Sep-2023: Affectiva, a Smart Eye company, introduced an enhanced attention metric in its cloud-based Emotion AI, leveraging Smart Eye's advanced eye-tracking technology. This provides precise insights for brands, advertisers, and market researchers. This distinctive and thorough measurement analyzes gaze and head position, providing unmatched precision and valuable insights.
Jul-2023: Microsoft Corporation has released the new multi-style, multi-lingual custom neural voice (CNV) features in Azure AI Speech's Text to Speech. This technology grants organizations the ability to create a natural, branded voice that expresses diverse emotions and speaks multiple languages. CNV, part of Azure AI Speech, enables crafting a unique, lifelike voice resembling chosen voice actors.
Jun-2023: Smart Eye A/S signed an agreement with Linde, the world's largest industrial gas company, to enhance safety in linde's gas distribution heavy vehicles. Initially, the AIS system will be installed in Linde's heavy vehicles in the Nordic and Baltic countries following a comprehensive evaluation and testing process.
May-2023: Microsoft Corporation came into collaboration with Builder.ai, the AI-powered next-generation composable software development platform, involving an investment in Builder.ai's equity. The collaboration involves the joint creation of AI-powered solutions, enabling businesses to develop applications and achieve digital nativity without requiring technical expertise.
Jan-2023: Microsoft Corporation extended its collaboration with OpenAI, the force behind ChatGPT, through a new multi-billion-dollar investment spanning multiple years. The collaboration aimed to expedite the advancement of AI technology, taking innovations to the next level. The renewed partnership follows reports of Microsoft's plans to invest significant funds in OpenAI, renowned for AI products like ChatGPT and DALL-E 2.
Apr-2022: nViso SA came into collaboration with BrainChip Holdings Ltd., the world's first commercial producer of neuromorphic AI IP and chips, for high-performance, low-power AI in battery-powered robotics and automotive applications. The first phase involved integrating NVISO's AI solutions for social robots and in-cabin monitoring systems onto BrainChip's Akida processors. Additionally, the partnership is pushing the boundaries of AI by creating platforms for edge AI devices that interpret human behavior, enhancing product performance and the user experience.
Dec-2021: Microsoft Corporation signed an agreement with Soul Machines, a leader in the humanization of AI and creating autonomously animated digital people, with the goal of revolutionizing the way we engage with computers. Under this agreement, Soul Machines shifted its applications to Microsoft Azure, and the two entities will collaborate on innovative AI products. Additionally, this involved an improved customer experience through a digital workforce, global fan engagement with celebrity digital twins, accessible healthcare assistants, and an immersive virtual metaverse for children.
Dec-2021: Smart Eye A/S completed the acquisition of iMotions, the developer of the world's leading software platform for studying human behavior. This integration has offered a comprehensive, multi-modal analysis of complex human behaviors in diverse environments, primarily focusing on Human Insights AI in the automotive industry. By integrating iMotions' Behavioral Research Suite, Smart Eye aimed to synthesize data from over 50 biosensors and explicit measures into a unified research platform, providing deeper insights into human behaviors across various markets.
Jul-2020: Realeyes OU developed an emotion analysis service under the collaboration with NEC Corporation, a Japanese multinational information technology and electronics corporation, merging NEC's biometric and video analytics with Realeyes' technology. This service analyzes user emotions through facial expressions on video communication tools with full consent and privacy considerations.
Apr-2020s: Realeyes has unveiled its latest facial coding technology, utilizing front-facing cameras, computer vision, and machine learning to detect attention and emotion in opt-in audiences watching video content. Additionally, the upgraded classification system promises customers more precise and sensitive insights into the emotional impact of their videos.
Market Segments covered in the Report:
By Component
By Enterprise Size
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research