AI 化身市场规模 - 按化身（互动式数位人类化身和非互动式数位人类化身）、按部署（基于云端和本地）、按技术、按应用程式、按行业垂直和预测，2024 年至 2032 年

在人工智慧和机器学习技术进步的推动下，全球人工智慧化身市场从 2024 年到 2032 年将实现 30% 的复合年增长率，从而实现逼真的化身互动。客户服务、游戏和虚拟活动领域越来越多地采用人工智慧化身。在此背景下，Nvidia 在CES 2024 上展示了其最新的生成式AI 工具，包括2024 年1 月在互动式化身方面的进步。数字角色。

此外，远端工作和虚拟通讯的蓬勃发展加速了对个人化数位互动的需求。人工智慧化身在社群媒体和数位行销策略中的整合有助于其日益突出和利用，从而促进市场成长。

整个人工智慧虚拟形象市场根据虚拟形象、部署、技术、应用、垂直行业和地区进行分类。

由于对客户参与和个人化购物体验的关注，零售和电子商务行业在预测期内将录得显着的复合年增长率。人工智慧头像提供互动式即时帮助，透过提供个人化产品推荐、回答查询并引导用户完成购买流程，有助于弥合线上购物和店内购物之间的差距。该技术透过创建客製化的互动来提高客户满意度并提高转换率。随着零售商和电子商务平台努力在竞争激烈的市场中脱颖而出，人工智慧头像对于增强用户体验至关重要。

到 2032 年，在人工智慧生成的人物知名度不断提高的推动下，虚拟影响者细分市场将获得值得注意的人工智慧化身市场份额。使用先进的人工智慧和机器学习技术创建的虚拟影响者，以其独特的、品牌一致的角色吸引社交媒体和数位平台上的受众。这些数位人物提高了品牌知名度，创造了有针对性的行销机会，并提供了人类影响者无法始终提供的一致、可控的互动。它们在寻求与消费者建立联繫的品牌中的受欢迎程度加速了人工智慧化身的采用。

到 2032 年，欧洲人工智慧化身市场将呈现出惊人的复合年增长率，主要科技公司和新创公司将增加对人工智慧和先进技术的投资。对数位创新的高度重视，加上零售、医疗保健和娱乐领域对个人化客户互动的需求不断增长，推动了市场扩张。此外，远距工作和虚拟活动的激增增强了对互动式和逼真数位化身的需求。支持性监管框架和资助计划进一步促进了人工智慧化身在整个地区的采用。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 供应商格局
  • 软体供应商
  • 服务商
  • 技术提供者
  • 最终用户
• 利润率分析
• 技术与创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 对虚拟助理的需求不断增长
    • 提高客户参与度
    • 具有成本效益且可扩展
    • 人工智慧和虚拟人物自然语言处理等技术的进步
  • 产业陷阱与挑战
    • 法律和监管问题
    • 基础设施和相容性问题
• 成长潜力分析
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司市占率分析
• 竞争定位矩阵
• 战略展望矩阵

第 5 章：市场估计与预测：按 Avatar，2021 - 2032

• 主要趋势
• 互动数位化身
• 非互动式数位化身

第 6 章：市场估计与预测：按部署划分，2021 年 - 2032 年

• 主要趋势
• 基于云端
• 本地

第 7 章：市场估计与预测：依技术分类，2021 - 2032 年

• 主要趋势
• 自然语言处理（NLP）
• 电脑视觉
• 机器学习
• 人工智慧AI

第 8 章：市场估计与预测：依应用分类，2021 - 2032

• 主要趋势
• 虚拟代理和助理
• 虚拟影响者
• 虚拟人物
• 虚拟同伴

第 9 章：市场估计与预测：按产业垂直划分，2021 - 2032 年

• 主要趋势
• 零售及电子商务
• 卫生保健
• 教育
• 银行、金融服务和保险 (BFSI)
• 游戏和娱乐
• 汽车
• 电信
• 其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 俄罗斯
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳新银行
  • 东南亚
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
  • 拉丁美洲其他地区
• MEA
  • 阿联酋
  • 南非
  • 沙乌地阿拉伯
  • MEA 的其余部分

第 11 章：公司简介

• NVIDIA
• Microsoft
• Meta
• Google
• IBM
• Anthropic
• C3 AI
• DataRobot
• Databricks
• Deep North
• UiPath
• Dynatrace
• Mobileye
• Palantir
• Adobe
• Amazon
• H2O.ai
• Gridspace
• DeepMind
• UneeQ

Global AI Avatars Market will experience a 30% CAGR from 2024 to 2032, propelled by advancements in artificial intelligence and machine learning technologies, enabling realistic avatar interactions. There is increased adoption of AI avatars in customer service, gaming, and virtual events sectors. Against this backdrop, at CES 2024, Nvidia showcased its latest generative AI tools, including advancements in interactive avatars in January 2024. The new features enable developers to create lifelike digital characters with expressive animations and multilingual capabilities.

Additionally, the boom in remote work and virtual communication has accelerated demand for personalized digital interactions. The integration of AI avatars in social media and digital marketing strategies contributes to their growing prominence and utilization, bolstering the market growth.

The overall AI avatars market is categorized based on avatar, deployment, technology, application, industry vertical, and region.

The retail and e-commerce industry will record a prominent CAGR during the forecast period, due to the focus on customer engagement and personalized shopping experiences. AI avatars offer interactive, real-time assistance, which helps bridge the gap between online and in-store shopping by providing personalized product recommendations, answering queries, and guiding users through the purchasing process. This technology improves customer satisfaction and increases conversion rates by creating tailored interactions. As retailers and e-commerce platforms strive to stand out in a competitive market, AI avatars are crucial for enhancing user experience.

The virtual influencers segment will garner a noteworthy AI avatars market share by 2032, driven by surging the visibility of AI-generated personalities. Virtual influencers, created using advanced AI and ML technologies, engage audiences on social media and digital platforms with their unique, brand-aligned personas. These digital personalities improve brand visibility, create targeted marketing opportunities, and present consistent, controlled interactions that human influencers cannot always provide. Their popularity among brands seeking ways to connect with consumers accelerates the adoption of AI avatars.

Europe AI avatars market will show a remarkable CAGR through 2032, augmenting investments in AI and advanced technologies by major tech companies and startups. The strong emphasis on digital innovation, coupled with rising demand for personalized customer interactions across retail, healthcare, and entertainment sectors, fuels market expansion. Additionally, the proliferation of remote work and virtual events enhances the need for interactive and lifelike digital avatars. Supportive regulatory frameworks and funding initiatives further bolster the adoption of AI avatars across the region.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates & calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Software providers
  • 3.2.2 Service provider
  • 3.2.3 Technology providers
  • 3.2.4 End user
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Rising demand for virtual assistants
    • 3.8.1.2 Improved customer engagement
    • 3.8.1.3 Cost effective and scalable
    • 3.8.1.4 Advancements in technologies such as AI and natural language processing in avatars
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 Legal and regulatory concerns
    • 3.8.2.2 Infrastructure and compatibility issues
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Avatar, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Interactive digital human avatar
• 5.3 Non -interactive digital human avatar

Chapter 6 Market Estimates & Forecast, By Deployment, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 Cloud-based
• 6.3 On-premises

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Natural language processing (NLP)
• 7.3 Computer vision
• 7.4 Machine learning
• 7.5 Artificial intelligence AI

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Virtual agents & assistant
• 8.3 Virtual influencers
• 8.4 Virtual characters
• 8.5 Virtual companions

Chapter 9 Market Estimates & Forecast, By Industry Vertical, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 Retail and E-commerce
• 9.3 Healthcare
• 9.4 Education
• 9.5 Banking, financial services, and insurance (BFSI)
• 9.6 Gaming and entertainment
• 9.7 Automotive
• 9.8 Telecommunications
• 9.9 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Russia
  • 10.3.7 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 South Korea
  • 10.4.5 ANZ
  • 10.4.6 Southeast Asia
  • 10.4.7 Rest of Asia Pacific
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
  • 10.5.4 Rest of Latin America
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia
  • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

• 11.1 NVIDIA
• 11.2 Microsoft
• 11.3 Meta
• 11.4 Google
• 11.5 IBM
• 11.6 Anthropic
• 11.7 C3 AI
• 11.8 DataRobot
• 11.9 Databricks
• 11.10 Deep North
• 11.11 UiPath
• 11.12 Dynatrace
• 11.13 Mobileye
• 11.14 Palantir
• 11.15 Adobe
• 11.16 Amazon
• 11.17 H2O.ai
• 11.18 Gridspace
• 11.19 DeepMind
• 11.20 UneeQ