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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1535944

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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1535944

AI Avatars Market Size - By Avatar (Interactive Digital Human Avatar and Non-Interactive Digital Human Avatar), By Deployment (Cloud-based and On-premises), By Technology, By Application, By Industry Vertical & Forecast, 2024 - 2032

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PAGES: 240 Pages
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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.

Product Code: 10020

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
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