人工智慧數位人市場報告：趨勢、預測、競爭分析（至 2031 年）

未來全球AI數位人市場將在休閒休閒、金融教育、醫療健康、旅遊觀光、人力資源等市場迎接機會。預計全球人工智慧數位人類市場從 2025 年到 2031 年的複合年成長率將達到 13.8%。該市場的主要驅動力是對個人化客戶體驗的需求不斷成長、虛擬助理/聊天機器人的採用率不斷提高以及各行各業對數位轉型的投資不斷增加。

• 根據 Lucintel 的預測，基於 ID 的預計在預測期內將實現高速成長。
• 以用途來看，休閒和休閒預計將出現最大的成長。
• 根據地區來看，預計亞太地區將在預測期內實現最高成長。

AI數位人市場的策略性成長機會

AI數位人市場在各個應用領域呈現多種策略成長機會。這些機會由技術進步和不斷變化的市場需求驅動，為業務擴展和創新提供了途徑。

• 教育應用：人工智慧數位人類透過充當虛擬導師和互動式學習助手，為教育領域提供了巨大的成長機會。這些數位人可以提供個人化指導並即時與學生互動，支援多樣化的學習需求並改善教育體驗和可及性。
• 增強客戶服務：將人工智慧數位人類納入客戶服務業務，為改善客戶互動和支援創造機會。數位人類可以回應詢問、提供協助並提出個人化提案，以提高客戶滿意度和業務效率。
• 醫療支援：在醫療保健領域，人工智慧數位人類可以協助遠端醫療、病患教育和心理健康支援。它透過提供虛擬諮詢、健康監測、個人化健康建議等，為改善醫療服務和病人參與提供了機會。
• 娛樂與媒體：在娛樂和媒體領域，人工智慧數位人類可以用於虛擬演員、影響者和互動角色等角色。這一成長機會包括創造身臨其境型體驗、引人入勝的內容和新形式的數位娛樂，推動創新和觀眾參與。
• 企業培訓與發展：AI數位人提供互動、逼真的培訓場景，可用於企業培訓與發展。這些數位人可以模擬現實世界的情況，提供回饋，並促進技能發展，以改善培訓計劃和員工學習成果。

這些策略成長機會凸顯了人工智慧數位人類在一系列應用領域產生深遠影響的潛力。透過專注於教育、客戶服務、醫療保健、娛樂和企業培訓，企業可以推動AI數位人領域的創新並佔領新的細分市場。

人工智慧數位人市場驅動力與挑戰

AI數位人市場受到各種促進因素​​和挑戰的影響，這些因素和挑戰正在塑造其發展和成長。這些因素包括技術進步、經濟考量和監管問題。了解這些促進因素和挑戰對於駕馭人工智慧數位人類不斷發展的格局以及在一系列用例中發揮其潛力至關重要。

推動AI數位人市場的因素有：

• 技術進步：人工智慧的不斷發展，包括自然語言處理（NLP）、機器學習和情感識別的改進，是AI數位人市場的主要驅動力。這些技術進步將使數位人類更加真實、有效，實現更自然、更具吸引力的互動。這項進步支持廣泛的應用，包括客戶服務、教育和娛樂，增加了市場的吸引力和成長潛力。
• 個人化體驗需求不斷增加：零售、教育和醫療保健等領域對個人化、互動體驗的需求不斷增加。人工智慧數位人類可以根據個人使用者的喜好和需求提供量身定做的互動。這種需求正在刺激更複雜的數位人類解決方案的開發，這些解決方案提供客製化的支援、建議和參與，從而推動其採用和市場成長。
• 數位平台的擴展：社交媒體、虛擬實境（VR）和線上學習環境等數位平台的激增為人工智慧數位人類創造了新的機會。這些平台可以將數位人類融入多樣化、沉浸式的體驗中，從而增強其功能和影響力。這些平台的擴展正在透過拓寬潛在應用範圍來支援AI數位人市場的成長。
• 投資與資金籌措：來自創業投資、科技公司和政府措施的大量投資正在推動人工智慧數位人市場的創新。資金籌措將用於支持研究和開發，並推動先進數位人技術的創造。這些投資將透過鼓勵創新和鼓勵採用新的和改進的數位人類解決方案來推動市場成長。
• 人們對虛擬影響者的興趣日益濃厚：虛擬影響者和數位名流的日益普及正在推動行銷和媒體對人工智慧數位人類的需求。品牌正在利用虛擬影響者來吸引受眾、創造獨特的內容並提高品牌知名度。這一趨勢正在推動數位人類的發展和應用，使其成為影響消費行為和行銷策略的有效工具。

AI數位人市場面臨的挑戰如下：

• 道德和隱私問題：人工智慧數位人類的使用引發了道德和隱私問題，特別是在資料安全和用戶同意方面。數位人類經常收集和處理個人數據，這引發了人們對如何管理和保護這些資料的擔憂。解決這些問題對於建立信任和確保遵守隱私法規至關重要，這可能會影響市場接受度和成長。
• 開發成本高：開發先進的人工智慧數位人技術需要大量的研究、開發和生產成本。高昂的開發成本可能會限制新參與企業的市場，並影響數位人類解決方案的可負擔性。這項挑戰可能會為中小企業帶來障礙，限制其獲得先進技術，進而影響整體市場的成長。
• 監管和合規問題：AI數字人市場受到不斷發展的監管和合規要求的影響。與人工智慧倫理、資料保護和數位互動相關的法規因地區而異，可能會影響數位人類技術的部署。應對這些監管挑戰可能需要大量資源，並影響我們的市場擴張和業務策略。

AI數位人市場受到技術進步、個人化體驗需求成長、數位平台擴展、創新投資以及對虛擬影響者日益成長的興趣的推動。然而，他們面臨道德和隱私、高昂的開發成本以及監管合規方面的挑戰。平衡這些市場促進因素和挑戰對於維持市場成長和確保人工智慧數位人類在各種應用中成功應用至關重要。

目錄

第1章執行摘要

第2章 全球AI數位人類市場：市場動態

• 簡介、背景和分類
• 供應鏈
• 產業驅動力與挑戰

第3章市場趨勢與預測分析（2019-2031）

• 宏觀經濟趨勢（2019-2024）及預測（2025-2031）
• 全球AI數位人類市場趨勢（2019-2024）及預測（2025-2031）
• 全球人工智慧數位人類市場類型
  • 基於身分的
  • 基於服務的
• 全球人工智慧數位人類市場（按應用）
  • 休閒休閒
  • 金融與教育
  • 醫療保健
  • 旅行和旅遊
  • 人力資源
  • 其他

第4章區域市場趨勢與預測分析（2019-2031）

• 全球人工智慧數位人類市場（按地區）
• 北美AI數位人類市場
• 歐洲人工智慧數位人類市場
• 亞太地區人工智慧數位人類市場
• 其他地區AI數位人市場

第5章 競爭分析

• 產品系列分析
• 營運整合
• 波特五力分析

第6章 成長機會與策略分析

• 成長機會分析
  • 全球人工智慧數位人類市場成長機會（按類型）
  • 全球人工智慧數位人類市場成長機會（按應用）
  • 全球人工智慧數位人類市場成長機會（按地區）
• 全球AI數位人市場新趨勢
• 戰略分析
  • 新產品開發
  • 擴大全球AI數位人市場產能
  • 全球人工智慧數位人類市場的企業合併
  • 認證和許可

第7章主要企業簡介

• 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