Short- and Long-Term Outlook for Virtual Digital Humans

This 2022 Chinese language report, Short- and Long-Term Outlook for Virtual Digital Humans: IP and Empowerment (虚拟数字人的长短期展望：IP 与赋能), argues that “virtual digital humans” are moving from a metaverse-driven hype cycle toward two durable value tracks: scalable service enablement in the near term and IP incubation/commercialization in the long term; it frames upstream production around three modeling routes—pure manual modeling (highest cost, slowest throughput), device-assisted scanning/capture workflows (mid-cost, widely used for “game-grade” production), and AI-driven modeling (lowest marginal cost but still constrained by realism, interaction naturalness, and supporting speech/NLP/animation tech)—and it links those technical choices to commercialization patterns where overseas markets prioritize identity-type virtual humans as fan-economy IP and consumer avatars, while China currently emphasizes service-type virtual humans (customer service, guided sales, explainers) aimed at operational efficiency and faster monetization such as livestream commerce; the report further claims that in a mature metaverse context, digital humans could reshape interaction modes and business models and function as “digital employees” handling scale that humans cannot, while the practical near-term expectation is earlier mass adoption in specific service scenarios (notably livestream selling and virtual customer service), leading to an investment framing that buckets opportunities into technology providers, IP-oriented content operators, and “enablement” operators with strong marketing/e-commerce capabilities, alongside risks including tighter regulation, intensified competition, slower-than-expected tech iteration, and slower industry development.

Executive Summary / Core Claims

• Virtual digital humans are presented as moving from metaverse-driven hype toward practical commercialization.
• The report frames two primary value tracks: identity/IP-oriented virtual figures and service-oriented “digital employees.”
• Near-term adoption and revenue are argued to be more achievable in service scenarios, while longer-term value is linked to IP formation, content ecosystems, and new interaction models.

Concept And Scope

• Working definition of “virtual digital humans” and how they differ from related concepts (avatars, virtual idols, digital employees).
• Positioning of digital humans as a foundational interface layer for metaverse-style platforms and digital services.

Industry Development Logic

• Drivers of demand: brand marketing needs, content production, e-commerce/live commerce scalability, customer-service automation, and platform competition for attention.
• Constraints: production cost, realism/quality limits, interaction naturalness, and uneven technology maturity across the pipeline.

Production Pipeline Overview

• End-to-end workflow described as modeling, driving/animation, and rendering/compositing.
• Emphasis on how upstream asset creation and downstream real-time performance determine scalability and commercial viability.

Modeling Routes And Trade-Offs

• Manual modeling
  • Highest cost and longest cycle; suited to premium photorealistic or film-grade outcomes and bespoke, high-value characters.
  • Dependence on specialized teams and lengthy production schedules.
• Device-assisted modeling (capture/scanning)
  • Mid-cost approach intended to improve efficiency while maintaining “game-grade” or high-quality results.
  • Uses capture hardware and structured workflows; still requires substantial cleanup and refinement.
• AI-based modeling
  • Lowest marginal cost and fastest potential generation.
  • Bottlenecks noted around realism, controllability, consistency, and the broader maturity of enabling components (speech, language understanding, voice, facial animation).

Driving / Performance And Interaction Stack

• Motion/facial driving methods and the importance of believable expression and lip-sync.
• Speech recognition, language understanding, and speech synthesis as prerequisites for service-type digital humans.
• Real-time constraints and integration into livestreaming, customer-service, or interactive settings.

Rendering, Deployment, And Platform Integration

• Differences between offline/high-fidelity rendering and real-time rendering for live deployment.
• Integration patterns with livestream platforms, enterprise software stacks, and interactive applications.

Commercialization Models

• Identity/IP-oriented virtual humans
  • Monetization through IP-style pathways such as content releases, endorsements, appearances, merchandise/licensing, and fan economy mechanisms.
  • Strategic focus on character building, narrative continuity, and brand-safe controllability.
• Service-oriented virtual humans (“digital employees”)
  • Monetization framed around cost reduction, efficiency gains, and scalable operation in repetitive or high-volume roles.
  • Key scenarios: customer service, guided selling, explainers, and standardized information delivery.

Regional Differentiation

• Overseas emphasis on identity-type virtual humans and consumer-avatar demand within social/metaverse contexts.
• China emphasis on service-type deployments and commerce-linked scenarios, especially where measurable ROI is clearer.

Application Case Survey

• Virtual idols and influencer-style virtual humans as identity-type examples.
• Livestream commerce: distinction between high-end “virtual hosts” tied to top creators and scalable AI-driven hosts designed for longer operating hours and lower staffing needs.
• Institutional and enterprise use: anchors, explainers, finance/enterprise roles, and standardized service roles.
• Consumer avatars and VR/social platforms: demand for large-scale creation of personalized avatars and NPC-like characters, limited by current cost and production friction.

Competitive Landscape And Industry Chain Positioning

• Technology enablers: tools and platforms across modeling, animation/driving, rendering, and AI interaction.
• IP operators: firms focused on character creation, content operations, and sustained audience growth.
• Enablement/service operators: solution providers packaging virtual-human capabilities for advertising, e-commerce, and enterprise scenarios.

Outlook And Investment Framing

• Near-term expectation: faster scaling in a small number of service scenarios with clear operational benefits (notably livestream and customer service).
• Long-term expectation: digital humans become a persistent interface for digital worlds and services, reshaping interaction patterns and IP economics.

Risks And Uncertainties

• Regulatory tightening affecting content and commercialization.
• Intensifying competition and commoditization pressures.
• Slower-than-expected technical progress in realism and interaction.
• Slower-than-expected adoption by platforms and enterprises.