Under the guidance of the Artificial Intelligence Working Committee of the China Internet Association, Frost & Sullivan and LeadLeo jointly prepared 'Blue Book on the Development and Application Practices of China's Edge AI Industry (2026)', and case collection is in full progress.

The Wuzhen Summit of the World Internet Conference is one of the globally influential platforms for cyber space exchanges. The international organization behind this summitWorld Internet Conference International Organizationwas officially established in July 2022, with its headquarters located in Beijing. Aiming to build a global platform for internet-related discussions and co-construction, it strives to jointly create a community with a shared future in the cyber space. Since 2014, the Wuzhen Summit of the World Internet Conference has been successfully held for several years. Each year, more than a thousand high-level representatives from government agencies, international organizations, leading technology companies, research institutions, and industry associations from around the world gather to discuss cutting-edge issues such as digital technology innovation, artificial intelligence development, and digital economy governance.

The Wuzhen Summit of the World Internet Conference in 2026 will be held in Wuzhen, Zhejiang in autumn. The conference will focus on cutting-edge areas such as AI-native technologies, continuously emphasizing the innovative development of the entire AI industry chain. Edge AI, as an important technological and application direction in the AI-native era, is a hot topic of great interest to the industry. Under the guidance of the Artificial Intelligence Working Committee of the China Internet Association, Frost & Sullivan and LeadLeo jointly conducted the "Blue Book on the Development and Application Practice of China's Edge AI Industry (2026)" case collection project. The goal is to utilize the international platform of the Wuzhen Summit of the World Internet Conference to showcase the technological progress, industrial chain status, and implementation practices of China's edge AI industry, convey the voice of China's edge AI industry to the global political, academic, industrial, and research sectors, foster industry consensus, and provide intellectual references for industrial innovation, commercial implementation, and ecological collaboration.

The Wuzhen Summit of the World Internet Conference is not only a high-level display platform for global cutting-edge technological achievements but also an important window for releasing authoritative industrial research results. During previous summits, many industry blue books and authoritative research reports have been officially released. The results have been widely disseminated to the global political, academic, industrial, and research sectors, possessing strong industry credibility, international communication capabilities, and industrial resource connection abilities.

1. ChinaEdge AIBackground of Industrial Research

As the capabilities of large models continue to improve, artificial intelligence is shifting from primarily cloud-based training and inference to extending to terminals such as mobile phones, computers, cars, robots, wearable devices, and smart homes. Edge AI can complete part or all of data processing and model inference locally, offering significant benefits in reducing response latency, lowering cloud costs, protecting data privacy, and enhancing personalized experiences. It is becoming an important direction for large-scale application of artificial intelligence.

At the same time, edge AI is not a single product or technology market but consists ofEdge chips, storage, sensors, edge models, operating systems, development tools, terminal devices, and application services, forming a composite industrial system. With continuous improvement in chip computing power, rapid development of miniaturized models, and growing synergy between software and hardware, edge AI is moving from individual functions to systematic intelligence and multi-scenario applications.

Currently, the edge AI industry is still in a stage of rapid development. There are significant differences in penetration rates and commercialization paths across different terminals, and there is no unified understanding of the market boundaries, industrial chain structure, and competitive landscape of edge AI. Some companies have already implemented products in AI phones, AI PCs, intelligent vehicles, robots, AI glasses, and other smart terminals, but they still face challenges such as balancing computing power and power consumption, model adaptation, software and hardware synergy, cost control, data security, and large-scale production.

Based on the above industry development background, under the guidance of the Artificial Intelligence Working Committee of the China Internet Association, Frost & Sullivan and LeadLeo, together with relevant research institutions, industrial chain enterprises, and experts, compiled the "Blue Book on the Development and Application Practice of China's Edge AI Industry (2026)". This blue book systematically outlines the development foundation, industrial chain structure, key terminal markets, and competitive landscape of China's edge AI industry. Through representative enterprises and application cases, it presents the real path for edge AI to evolve from technical capabilities to product implementation and large-scale applications, providing references for enterprise strategy planning, industrial cooperation, and investment decisions.

2. Research Content

This blue book will take "whether technology is innovative, whether scenarios can be scaled, and whether enterprises can maintain sustainable competitiveness" as the main theme, focusing on the following five aspects:

1. Definition and Overview of the Edge AI Market

It clarifies the definition, scope of edge AI, and its relationship with cloud AI and edge AI, and outlines the technical architecture, development stages, and main driving factors of edge AI. Based on a unified market definition, it analyzes the current development status, market size, and future growth trends of China's edge AI market.

2. Edge AI Industrial Chain and Value Distribution

It systematically breaks down the edge AI industrial chain, covering edge chips, storage and sensors, edge models, operating systems, development tools, terminal devices, and application services. It analyzes the core functions of each segment, participating enterprises, and upstream and downstream relationships, and assesses the main current development status of the industry.

3. Key Terminal Markets and Application Scenarios

Focusing on key terminals such as AI phones, AI PCs, intelligent vehicles, robots, AI glasses, wearable devices, smart homes, and IoT devices, it analyzes their market demand, product forms, AI functions, and commercial prospects, identifying terminals and scenarios that are likely to achieve large-scale application first.

4. Competitive Landscape and Industrial Ecosystem

It outlines the main participants and competitive relationships in the edge AI industry, analyzing the differentiated capabilities of chip manufacturers, model companies, operating system providers, terminal brands, and application service providers. It focuses on studying competitive elements such as computing power, power consumption, cost, model capabilities, software and hardware synergy, and ecosystem adaptation, as well as possible changes in industry leadership and value distribution.

5. Benchmark Cases and Development Trends

It selects representative edge AI enterprises and terminal application cases, analyzing their product positioning, core technologies, customer scenarios, business models, production progress, and ecological cooperation methods. Based on case studies, it summarizes the main problems and opportunities faced by the edge AI industry, analyzes development trends such as model miniaturization, end-cloud synergy, multi-modal interaction, and integrated end and software hardware of smart agents, and provides enterprise development suggestions.

The blue book conducts research through public data analysis, enterprise interviews, expert interviews, and case studies, and cross-verifies key data and market judgments, aiming to produce a research result with clear boundaries, reliable data, specific cases, and industrial reference value.

3. Value for Enterprises to Participate in this Blue Book

1. Participate in industry research and promote the formation of market consensus

Enterprises can combine their own business practices to provide professional opinions on the definition of the edge AI market, industrial boundaries, technical routes, application scenarios, and commercialization challenges, helping to form a clearer, more objective, and executable research framework for the industry.

2. Incorporate benchmark cases to systematically demonstrate enterprise capabilities

The blue book will select representative industrial chain enterprises and application projects as cases to systematically present the business positioning, core technologies, product capabilities, customer scenarios, production progress, and ecological cooperation situations of enterprises. Compared with single product promotion, case studies are more conducive to external institutions understanding the actual value and differentiated capabilities of enterprises in the edge AI industry.

3. Obtain professional expression and industry dissemination

Enterprise cases will be presented in third-party research language and disseminated through the blue book, release events, media coverage, and relevant industry channels, helping enterprises establish a clearer position in edge AI, and enhancing their professional recognition among customers, partners, investment institutions, and the industrial ecosystem.

4. Strengthen industrial chain connections and cooperation opportunities

The blue book will connect chips, models, software platforms, terminal brands, application enterprises, industrial parks, and investment institutions. Participating enterprises can use research interviews, case releases, and special discussions to establish connections with upstream and downstream enterprises and potential partners, expanding opportunities for joint research, product adaptation, customer verification, and ecological cooperation.

5. Obtain market insights to assist strategic decision-making

Enterprises can gain a deeper understanding of the industrial chain structure of edge AI, the penetration rhythm of key terminals, the competitive landscape, and changes in customer needs, providing references for technical route selection, product planning, market entry, ecological cooperation, and resource investment.

6. Preserve sustainable enterprise case assets

Case content confirmed by enterprises can serve as important reference materials for enterprise external communication, customer communication, financing promotion, and industrial cooperation. Selected cases can also be used in industry forums, special seminars, and subsequent research results, creating long-term brand and research value.

Target for case collection:Emphasis is placed on collecting excellent cases in the fields of AI glasses, smart wearables, AI phones, AI PCs, andembodied robots. It covers products that have already been mass-produced, as well as innovative application pilots, showcasing the latest achievements and commercial potential of edge AI.

Case Collection Period:From now until October 25, 2026 (continuous collection)

Submission and selection of enterprise products and cases:October 26, 2026 - October 29, 2026

Report Release Time:It is expected to be released during the Wuzhen Summit of the World Internet Conference in November 2026 (specific arrangements will be confirmed by the summit organizing committee). Selected enterprises can obtain freeWuzhen咖会entrance tickets (limited quantities, first come, first served).

(QR code for case collection registration)