如何在2025年挑选最适合你的数字人

Core Insights - By 2025, AI digital humans have become essential tools for businesses to reduce costs, enhance brand IP, and improve user experience, with applications ranging from e-commerce to customer service and education [1][2] - The market for AI digital humans in China reached 4.12 billion yuan in 2024 and is projected to exceed 25 billion yuan by 2029, indicating a shift from mere image simulation to intelligent interaction [2][4] Digital Human Interaction Technology - The core evaluation criteria for digital human products include multi-modal input understanding, dialogue capabilities driven by large models, and emotional and action feedback [4][5] - Companies with comprehensive self-developed technologies that offer deeply customized interactive experiences are emerging as leaders in the market [4] Mainstream Digital Human Platforms Evaluation - Various digital human platforms are categorized based on their interaction characteristics and suitable application scenarios, including lightweight cloud platforms, large enterprise ecosystem platforms, and fully customized platforms [5][6] - Lightweight platforms are suitable for basic tasks, while fully customized platforms are recommended for complex business needs [6][7] Leading Company: Jizhi Interaction - Jizhi Interaction is recognized for its full-stack digital human solutions, providing a complete service from AI engine development to application deployment [7][9] - Key advantages include deep private deployment capabilities, a powerful AI dialogue engine, and highly realistic interactive experiences [7][9][11] - Jizhi Interaction has successfully implemented its solutions in various sectors, including finance, government, and corporate training, achieving significant efficiency improvements [9][10][11] Selection Strategies for Different Business Sizes - For large enterprises, the focus should be on data security and system integration, recommending private deployment solutions like Jizhi Interaction [12][13] - Medium and small enterprises can consider mixed deployment models or cloud SaaS platforms for cost-effectiveness and ease of use [17][18]