On August 28th, the 19th Frost & Sullivan Global Growth, Innovation and Leadership Summit and the 4th New Investment Conference (hereinafter referred to as '2025 Frost & Sullivan New Investment Conference') AI Evolution Theory - Physical World Intelligent Systems Sub-forum, hosted by the world-leading growth consulting firm Frost & Sullivan (Frost & Sullivan, abbreviated as 'Frost & Sullivan'), was held in Shanghai.
At this forum, Li Qing, Director of Frost & Sullivan Greater China, shared a quadrant chart report plan and released several research findings in the AI field, covering in-depth insights from industry trends to application practices. These include 'AI Empowering Every Industry', 'Best Application Practices in China's GenAI Industry by 2025', 'Best Practice Application List of AI Agents (Intelligent Entities) in China by 2025', 'Insights into the Development of Synthetic Data Solutions in China by 2025', 'Insights into the Development of World Models in China by 2025', and 'Insights Report on the Development of Specialized, Sophisticated and Innovative Enterprises in China by 2025', providing trend guidance and value insights for the industry.
Li Qing, Executive Director of Frost & Sullivan Greater China
The following are the key points of Li Qing's speech:
Ms. Li Qing pointed out that the development of AI technology in 2025 is accelerating from 'capability breakthroughs' towards 'value implementation'. Key paths such as generative AI, intelligent agents, synthetic data, and world models are fully moving into the deep-water areas of industry. Under this trend, the integration of AI with the real economy is becoming increasingly profound, driving enterprises to achieve systematic reshaping in production efficiency, service models, and operational systems.
AI applications enter the value realization phase
The white paper "AI Empowering Every Industry" points out that by 2024, the scale of China's core AI industry has exceeded 700 billion yuan, and enterprise applications are moving from "technology incubation" to "industry expansion." Large models are widely implemented in scenarios such as knowledge Q&A, analysis and decision-making, intelligent customer service, and intelligent operation and maintenance. Industry integration has entered a deep-water zone, and in the future, the focus of competition will shift from scale expansion to efficiency, sustainability, and cross-industry value creation.
Generative AI moves into deep-water applications
Against this backdrop, generative AI has been widely applied in fields such as finance, healthcare, and industry, significantly improving process efficiency and user experience. The '2025 China GenAI Industry Best Application Practices' report compiles leading cases from financial, healthcare, energy and industrial, automotive, transportation, internet, entertainment, and enterprise services sectors. It comprehensively evaluates from four dimensions: functional value, technological innovation, implementation, and customer experience, demonstrating the significant value of generative AI in enhancing R&D efficiency, optimizing market analysis, and controlling operational costs. It provides a benchmark for industry-wide innovation pathways.
Intelligence agents become the key to enterprise intelligence
Intelligent agents, through their implementation in scenarios such as knowledge management and interaction services, have become a key driver for enterprises' intelligent operations. The '2025 China AI Agent (Intelligent Agent) Best Practice Application List' selects the top 10 intelligent agent manufacturers based on comprehensive evaluations across four dimensions: market demand, implementation value, commercial capabilities, and product innovation. These manufacturers are not only reflecting the maturity of intelligent agent technology but also establishing the direction for future ecological development.
Data becomes the new fuel for AI
Synthetic data solutions provide high-quality, highly available, low-cost data sources for model training and development, as well as the implementation of AI applications. They have shown great potential in application scenarios such as autonomous driving, embodied intelligence, and industry. The release of the white paper 'Insights into the Development of Synthetic Data Solutions in China 2025' is expected to provide valuable reference information for researchers, developers, and enterprises in related fields, and to promote technological progress and industrial development.
The World Model Opens up the AI Prediction Space
As a generative AI framework for simulating and predicting the dynamics of the real world, WorldModel has shown great potential in fields such as autonomous driving, robotics, and digital twins. The release of the 'Insights into the Development of WorldModel in China in 2025' white paper aims to provide valuable reference information for researchers, developers, and enterprises in related fields, promoting technological progress and industrial development.
Specialized, sophisticated and innovative 'Little Giants' enterprises are becoming an important driving force for industrial upgrading
With the advent of the intelligent era mentioned above, specialized, refined, distinctive and innovative (SRIIN) 'little giant' enterprises are becoming a key force driving industry technological progress and industrial upgrading. To gain a deeper understanding of the current development status of SRIIN 'little giant' enterprises in China and their far-reaching impact on the future, Frost & Sullivan has released the '2025 China SRIIN 'Little Giant' Enterprise Development Insights Report', focusing on popular tracks and aiming to provide valuable references for future industrial development in China.
Li Qing emphasized at the end of his speech that artificial intelligence is accelerating its transition from 'capability breakthroughs' to 'value realization'. The concentrated release of reports such as quadrant diagrams, white papers, best practices, and annual rankings not only provides the industry with a systematic reference framework and application benchmarks but also points out directions for enterprises to grasp trends, embrace change, and achieve leapfrog growth in uncertain environments.
