人工智慧数位人市场报告：趋势、预测、竞争分析（至 2031 年）

未来全球AI数位人市场将在休閒休閒、金融教育、医疗健康、旅游观光、人力资源等市场迎接机会。预计全球人工智慧数位人类市场从 2025 年到 2031 年的复合年增长率将达到 13.8%。该市场的主要驱动力是对个人化客户体验的需求不断增长、虚拟助理/聊天机器人的采用率不断提高以及各行各业对数位转型的投资不断增加。

• 根据 Lucintel 的预测，基于 ID 的预计在预测期内将实现高速成长。
• 以用途来看，休閒和休閒预计将出现最大的成长。
• 根据地区来看，预计亚太地区将在预测期内实现最高成长。

AI数位人市场的策略性成长机会

AI数位人市场在各个应用领域呈现多种策略成长机会。这些机会由技术进步和不断变化的市场需求驱动，为业务扩展和创新提供了途径。

• 教育应用：人工智慧数位人类透过充当虚拟导师和互动式学习助手，为教育领域提供了巨大的成长机会。这些数位人可以提供个人化指导并即时与学生互动，支援多样化的学习需求并改善教育体验和可及性。
• 增强客户服务：将人工智慧数位人类纳入客户服务业务，为改善客户互动和支援创造机会。数位人类可以回应询问、提供协助并提出个人化提案，以提高客户满意度和业务效率。
• 医疗支援：在医疗保健领域，人工智慧数位人类可以协助远端医疗、病患教育和心理健康支援。它透过提供虚拟咨询、健康监测、个人化健康建议等，为改善医疗服务和病人参与提供了机会。
• 娱乐与媒体：在娱乐和媒体领域，人工智慧数位人类可以用于虚拟演员、影响者和互动角色等角色。这一成长机会包括创造身临其境型体验、引人入胜的内容和新形式的数位娱乐，推动创新和观众参与。
• 企业培训与发展：AI数位人提供互动、逼真的培训场景，可用于企业培训与发展。这些数位人可以模拟现实世界的情况，提供回馈，并促进技能发展，以改善培训计划和员工学习成果。

这些策略成长机会凸显了人工智慧数位人类在一系列应用领域产生深远影响的潜力。透过专注于教育、客户服务、医疗保健、娱乐和企业培训，企业可以推动AI数位人领域的创新并占领新的细分市场。

人工智慧数位人市场驱动力与挑战

AI数位人市场受到各种驱动因素​​和挑战的影响，这些因素和挑战正在塑造其发展和成长。这些因素包括技术进步、经济考量和监管问题。了解这些驱动因素和挑战对于驾驭人工智慧数位人类不断发展的格局以及在一系列用例中发挥其潜力至关重要。

推动AI数位人市场的因素有：

• 技术进步：人工智慧的不断发展，包括自然语言处理（NLP）、机器学习和情感识别的改进，是AI数位人市场的主要驱动力。这些技术进步将使数位人类更加真实、有效，实现更自然、更具吸引力的互动。这项进步支持广泛的应用，包括客户服务、教育和娱乐，增加了市场的吸引力和成长潜力。
• 个人化体验需求不断增加：零售、教育和医疗保健等领域对个人化、互动体验的需求不断增加。人工智慧数位人类可以根据个人使用者的喜好和需求提供量身定制的互动。这种需求正在刺激更复杂的数位人类解决方案的开发，这些解决方案提供客製化的支援、建议和参与，从而推动其采用和市场成长。
• 数位平台的扩展：社交媒体、虚拟实境（VR）和线上学习环境等数位平台的激增为人工智慧数位人类创造了新的机会。这些平台可以将数位人类融入多样化、沉浸式的体验中，从而增强其功能和影响力。这些平台的扩展正在透过拓宽潜在应用范围来支援AI数位人市场的成长。
• 投资与资金筹措：来自创业投资、科技公司和政府措施的大量投资正在推动人工智慧数位人市场的创新。资金筹措将用于支持研究和开发，并推动先进数位人技术的创造。这些投资将透过鼓励创新和鼓励采用新的和改进的数位人类解决方案来推动市场成长。
• 人们对虚拟影响者的兴趣日益浓厚：虚拟影响者和数位名流的日益普及正在推动行销和媒体对人工智慧数位人类的需求。品牌正在利用虚拟影响者来吸引受众、创造独特的内容并提高品牌知名度。这一趋势正在推动数位人类的发展和应用，使其成为影响消费行为和行销策略的有效工具。

AI数位人市场面临的挑战如下：

• 道德和隐私问题：人工智慧数位人类的使用引发了道德和隐私问题，特别是在资料安全和用户同意方面。数位人类经常收集和处理个人数据，这引发了人们对如何管理和保护这些资料的担忧。解决这些问题对于建立信任和确保遵守隐私法规至关重要，这可能会影响市场接受度和成长。
• 开发成本高：开发先进的人工智慧数位人技术需要大量的研究、开发和生产成本。高昂的开发成本可能会限制新参与企业的市场，并影响数位人类解决方案的可负担性。这项挑战可能会为中小企业带来障碍，限制其获得先进技术，进而影响整体市场的成长。
• 监管和合规问题：AI数字人市场受到不断发展的监管和合规要求的影响。与人工智慧伦理、资料保护和数位互动相关的法规因地区而异，可能会影响数位人类技术的部署。应对这些监管挑战可能需要大量资源，并影响我们的市场扩张和业务策略。

AI数位人市场受到技术进步、个人化体验需求成长、数位平台扩展、创新投资以及对虚拟影响者日益增长的兴趣的推动。然而，他们面临道德和隐私、高昂的开发成本以及监管合规方面的挑战。平衡这些市场驱动因素和挑战对于维持市场成长和确保人工智慧数位人类在各种应用中成功应用至关重要。

目录

第一章执行摘要

第二章 全球AI数位人类市场：市场动态

• 简介、背景和分类
• 供应链
• 产业驱动力与挑战

第三章市场趋势与预测分析（2019-2031）

• 宏观经济趋势（2019-2024）及预测（2025-2031）
• 全球AI数位人类市场趋势（2019-2024）及预测（2025-2031）
• 全球人工智慧数位人类市场类型
  • 基于身分的
  • 基于服务的
• 全球人工智慧数位人类市场（按应用）
  • 休閒休閒
  • 金融与教育
  • 医疗保健
  • 旅行和旅游
  • 人力资源
  • 其他的

第四章区域市场趋势与预测分析（2019-2031）

• 全球人工智慧数位人类市场（按地区）
• 北美AI数位人类市场
• 欧洲人工智慧数位人类市场
• 亚太地区人工智慧数位人类市场
• 其他地区AI数位人市场

第五章 竞争分析

• 产品系列分析
• 营运整合
• 波特五力分析

第六章 成长机会与策略分析

• 成长机会分析
  • 全球人工智慧数位人类市场成长机会（按类型）
  • 全球人工智慧数位人类市场成长机会（按应用）
  • 全球人工智慧数位人类市场成长机会（按地区）
• 全球AI数位人市场新趋势
• 战略分析
  • 新产品开发
  • 扩大全球AI数位人市场产能
  • 全球人工智慧数位人类市场的企业合併
  • 认证和许可

第七章主要企业简介

• UneeQ
• Samsung
• Meta
• Soul Machines
• Synthesia
• Microsoft
• Genies
• NVIDIA
• Digital Domain
• Talespin

The future of the global AI digital human market looks promising with opportunities in the recreation & leisure, finance & education, medical, travel & tourism, and human resource markets. The global AI digital human market is expected to grow with a CAGR of 13.8% from 2025 to 2031. The major drivers for this market are the growing demand for personalized customer experiences, increasing adoption of virtual assistants & chatbots, and rising investment in digital transformation across industries.

• Lucintel forecasts that, within the type category, identity-based is expected to witness higher growth over the forecast period.
• Within the application category, recreation & leisure is expected to witness the highest growth.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the AI Digital Human Market

The AI digital human market is experiencing several emerging trends that are shaping its growth and applications. These trends reflect advancements in technology and evolving consumer demands, driving innovation and expansion in various sectors.

• Enhanced Emotional Intelligence: AI digital humans are increasingly equipped with enhanced emotional intelligence capabilities, allowing them to recognize and respond to human emotions more effectively. This trend improves user interactions by making digital humans more empathetic and responsive, which is crucial for applications in customer service and mental health support.
• Integration with Augmented Reality (AR) and Virtual Reality (VR): The integration of AI digital humans with AR and VR technologies is creating immersive experiences for users. This trend allows for more interactive and engaging environments, particularly in gaming, training, and virtual meetings. The combination of AI digital humans with AR and VR enhances user engagement and creates new opportunities for entertainment and education.
• Increased Personalization and Customization: AI digital humans are becoming more personalized and customizable, catering to individual user preferences and needs. This trend involves tailoring digital human interactions based on user data and behavior, leading to more relevant and engaging experiences. Personalization drives greater adoption in areas like marketing and customer service.
• Ethical and Privacy Considerations: As AI digital humans become more prevalent, ethical and privacy considerations are gaining importance. Issues related to data security, consent, and the ethical use of AI are being addressed to ensure the responsible development and deployment of digital humans. This trend influences regulatory frameworks and shapes best practices in the industry.
• Expansion into New Market Segments: AI digital humans are expanding into new market segments beyond traditional applications. This trend includes their use in sectors such as healthcare, where digital humans assist in telemedicine and mental health, and in education, where they provide tutoring and personalized learning experiences. The expansion drives innovation and creates new opportunities for digital human technology.

These trends are reshaping the AI digital human market by enhancing emotional intelligence, integrating with AR and VR, increasing personalization, addressing ethical concerns, and expanding into new segments. As these trends continue to evolve, they will drive further innovation and adoption in the AI digital human space.

Recent Developments in the AI Digital Human Market

Recent developments in the AI digital human market reflect advancements in technology and growing applications across various industries. These developments highlight the increasing sophistication and versatility of AI digital humans.

• Advancement in Natural Language Processing (NLP): AI digital humans benefit from advancements in NLP, enabling more fluid and natural conversations. Improved NLP capabilities allow digital humans to understand and respond to a wider range of queries with greater accuracy, enhancing their effectiveness in customer service and virtual interactions.
• Development of Hyper-Realistic Avatars: The creation of hyper-realistic avatars is a key development in the AI digital human market. Companies leverage advanced graphics and animation techniques to produce digital humans that closely resemble real people, making them more engaging and effective for roles in media, marketing, and virtual customer service.
• Expansion of AI Digital Humans in Healthcare: AI digital humans are increasingly used in healthcare applications, such as virtual health assistants and telemedicine platforms. These digital humans provide personalized medical advice, monitor patient conditions, and offer support, reflecting a growing trend of integrating AI into healthcare to improve accessibility and efficiency.
• Integration with Social Media and Influencer Marketing: The integration of AI digital humans into social media and influencer marketing is on the rise. Digital influencers and brand ambassadors are created to engage with audiences on platforms like Instagram and YouTube, offering brands a novel way to connect with consumers and drive engagement.
• Regulatory Developments and Standards: As AI digital humans become more prevalent, there is a growing focus on regulatory developments and standards. Governments and industry bodies are working on frameworks to address ethical concerns, data privacy, and the responsible use of AI digital humans, shaping the future direction of the market.

These developments are significantly impacting the AI digital human market by enhancing NLP capabilities, creating hyper-realistic avatars, expanding into healthcare, integrating with social media, and addressing regulatory issues. These advancements are driving the evolution of AI digital humans and expanding their applications across various sectors.

Strategic Growth Opportunities for AI Digital Human Market

The AI digital human market presents several strategic growth opportunities across various applications. These opportunities are driven by advancements in technology and evolving market needs, offering pathways for expansion and innovation.

• Educational Applications: AI digital humans offer significant growth opportunities in education by serving as virtual tutors and interactive learning assistants. These digital humans can provide personalized instruction, engage with students in real time, and support diverse learning needs, enhancing educational experiences and accessibility.
• Customer Service Enhancement: Integrating AI digital humans into customer service operations presents opportunities for improving customer interactions and support. Digital humans can handle inquiries, provide assistance, and offer personalized recommendations, enhancing customer satisfaction and operational efficiency.
• Healthcare Support: In healthcare, AI digital humans can assist with telemedicine, patient education, and mental health support. They offer opportunities to provide virtual consultations, monitor health conditions, and deliver personalized health advice, improving healthcare delivery and patient engagement.
• Entertainment and Media: The entertainment and media sectors can leverage AI digital humans for roles such as virtual actors, influencers, and interactive characters. This growth opportunity includes creating immersive experiences, engaging content, and new forms of digital entertainment, driving innovation and audience engagement.
• Corporate Training and Development: AI digital humans can be used for corporate training and development, offering interactive and realistic training scenarios. These digital humans can simulate real-world situations, provide feedback, and facilitate skill development, enhancing training programs and employee learning outcomes.

These strategic growth opportunities highlight the potential for AI digital humans to make a significant impact across various applications. By focusing on education, customer service, healthcare, entertainment, and corporate training, companies can drive innovation and capture new market segments in the AI digital human space.

AI Digital Human Market Driver and Challenges

The AI digital human market is influenced by a variety of drivers and challenges that shape its development and growth. These factors encompass technological advancements, economic considerations, and regulatory issues. Understanding these drivers and challenges is crucial for navigating the evolving landscape of AI digital humans and leveraging their potential across different applications.

The factors responsible for driving the AI digital human market include:

• Technological Advancements: The continuous evolution of artificial intelligence, including improvements in natural language processing (NLP), machine learning, and emotional recognition, is a major driver for the AI digital human market. Advances in these technologies enhance the realism and effectiveness of digital humans, enabling more natural and engaging interactions. This progress supports applications across customer service, education, and entertainment, increasing the market's attractiveness and growth potential.
• Increased Demand for Personalized Experiences: There is a rising demand for personalized and interactive experiences in various sectors, including retail, education, and healthcare. AI digital humans can provide tailored interactions by adapting to individual user preferences and needs. This demand drives the development of more sophisticated digital human solutions that offer customized support, recommendations, and engagement, boosting their adoption and market growth.
• Expansion of Digital Platforms: The proliferation of digital platforms, such as social media, virtual reality (VR), and online learning environments, is creating new opportunities for AI digital humans. These platforms enable the integration of digital humans into diverse and immersive experiences, enhancing their functionality and reach. The expansion of these platforms supports the growth of the AI digital human market by broadening the scope of potential applications.
• Investment and Funding: Significant investment from venture capital, technology companies, and government initiatives is driving innovation in the AI digital human market. Funding supports research and development, enabling the creation of advanced digital human technologies. This investment accelerates market growth by fostering innovation and facilitating the introduction of new and improved digital human solutions.
• Growing Interest in Virtual Influencers: The increasing popularity of virtual influencers and digital celebrities is fueling demand for AI digital humans in marketing and media. Brands are leveraging virtual influencers to engage audiences, create unique content, and enhance brand visibility. This trend drives the development and adoption of digital humans as effective tools for influencing consumer behavior and marketing strategies.

Challenges in the AI digital human market are:

• Ethical and Privacy Concerns: The use of AI digital humans raises ethical and privacy issues, particularly concerning data security and user consent. Digital humans often collect and process personal information, leading to concerns about how this data is managed and protected. Addressing these concerns is crucial for building trust and ensuring compliance with privacy regulations, which can impact market acceptance and growth.
• High Development Costs: Developing advanced AI digital human technologies involves significant costs related to research, development, and production. High development costs can limit market entry for new players and impact the affordability of digital human solutions. This challenge can affect the overall growth of the market by creating barriers for smaller companies and restricting access to advanced technologies.
• Regulatory and Compliance Issues: The AI digital human market is subject to evolving regulatory and compliance requirements. Regulations related to AI ethics, data protection, and digital interactions can vary across regions and impact the deployment of digital human technologies. Navigating these regulatory challenges requires significant resources and can affect market expansion and operational strategies.

The AI digital human market is driven by technological advancements, increased demand for personalized experiences, the expansion of digital platforms, investment in innovation, and the growing interest in virtual influencers. However, it faces challenges related to ethical and privacy concerns, high development costs, and regulatory compliance. Balancing these drivers and challenges is essential for sustaining market growth and fostering the successful adoption of AI digital humans across various applications.

List of AI Digital Human Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI digital human companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI digital human companies profiled in this report include-

• UneeQ
• Samsung
• Meta
• Soul Machines
• Synthesia
• Microsoft
• Genies
• NVIDIA
• Digital Domain
• Talespin

AI Digital Human by Segment

The study includes a forecast for the global AI digital human market by type, application, and region.

AI Digital Human Market by Type [Analysis by Value from 2019 to 2031]:

• Identity-based
• Service-based

AI Digital Human Market by Application [Analysis by Value from 2019 to 2031]:

• Recreation & Leisure
• Finance & Education
• Medical
• Travel & Tourism
• Human Resources
• Others

AI Digital Human Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI Digital Human Market

The AI digital human market is rapidly evolving, driven by advancements in artificial intelligence, machine learning, and natural language processing. AI digital humans, which include virtual avatars and synthetic characters capable of interacting with people in a human-like manner, are increasingly integrated into various sectors such as customer service, entertainment, and healthcare. These developments are transforming how businesses engage with customers and how digital interactions are perceived. Here's a summary of recent developments in key markets:

• United States: In the U.S., significant advancements have been made in AI digital humans, particularly in the entertainment and customer service sectors. Companies like Soul Machines and Synthesia are creating highly realistic digital avatars capable of engaging in natural conversations and personalized interactions. The integration of advanced emotional recognition and natural language processing enhances the effectiveness of virtual assistants and interactive media experiences.
• China: China is at the forefront of developing AI digital humans for both commercial and social applications. Tech giants such as Baidu and Alibaba are investing heavily in this area, creating digital human avatars that serve roles from virtual shopping assistants to online influencers. These digital humans are increasingly used in customer service, with capabilities to handle complex queries and provide personalized recommendations.
• Germany: Germany focuses on integrating AI digital humans into professional and academic environments. German firms like 1-2-3.tv and Arago are developing digital assistants for e-commerce and enterprise solutions. These avatars are designed to assist with tasks ranging from customer support to complex data analysis, showcasing Germany's emphasis on combining AI with practical business applications.
• India: In India, AI digital human technology is being adopted primarily in education and customer service. Startups like YAPILI and KAIROS are creating digital tutors and support agents that cater to the diverse linguistic and cultural needs of the Indian market. These digital humans improve access to education and enhance user interactions in a rapidly growing digital economy.
• Japan: Japan has embraced AI digital humans, especially in the fields of robotics and entertainment. Companies such as SoftBank and Gatebox are developing highly advanced digital companions and virtual idols. These digital humans are used in various applications, from providing companionship to serving as brand ambassadors, reflecting Japan's strong tradition of integrating technology with daily life and culture.

Features of the Global AI Digital Human Market

Market Size Estimates: AI digital human market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: AI digital human market size by type, application, and region in terms of value ($B).

Regional Analysis: AI digital human market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI digital human market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI digital human market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI digital human market by type (identity-based and service-based), application (recreation & leisure, finance & education, medical, travel & tourism, human resources, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI Digital Human Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global AI Digital Human Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI Digital Human Market by Type
  • 3.3.1: Identity-based
  • 3.3.2: Service-based
• 3.4: Global AI Digital Human Market by Application
  • 3.4.1: Recreation & Leisure
  • 3.4.2: Finance & Education
  • 3.4.3: Medical
  • 3.4.4: Travel & Tourism
  • 3.4.5: Human Resources
  • 3.4.6: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global AI Digital Human Market by Region
• 4.2: North American AI Digital Human Market
  • 4.2.1: North American Market by Type: Identity-based and Service-based
  • 4.2.2: North American Market by Application: Recreation & Leisure, Finance & Education, Medical, Travel & Tourism, Human Resources, and Others
• 4.3: European AI Digital Human Market
  • 4.3.1: European Market by Type: Identity-based and Service-based
  • 4.3.2: European Market by Application: Recreation & Leisure, Finance & Education, Medical, Travel & Tourism, Human Resources, and Others
• 4.4: APAC AI Digital Human Market
  • 4.4.1: APAC Market by Type: Identity-based and Service-based
  • 4.4.2: APAC Market by Application: Recreation & Leisure, Finance & Education, Medical, Travel & Tourism, Human Resources, and Others
• 4.5: ROW AI Digital Human Market
  • 4.5.1: ROW Market by Type: Identity-based and Service-based
  • 4.5.2: ROW Market by Application: Recreation & Leisure, Finance & Education, Medical, Travel & Tourism, Human Resources, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI Digital Human Market by Type
  • 6.1.2: Growth Opportunities for the Global AI Digital Human Market by Application
  • 6.1.3: Growth Opportunities for the Global AI Digital Human Market by Region
• 6.2: Emerging Trends in the Global AI Digital Human Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI Digital Human Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Digital Human Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: UneeQ
• 7.2: Samsung
• 7.3: Meta
• 7.4: Soul Machines
• 7.5: Synthesia
• 7.6: Microsoft
• 7.7: Genies
• 7.8: NVIDIA
• 7.9: Digital Domain
• 7.10: Talespin