Frost & Sullivan Releases the "2026 AI Advancement and Leap White Paper"

Frost & Sullivan Releases the "2026 AI Advancement and Leap White Paper"

Published: 2026/08/05

Frost & Sullivan releases the‘2026 AI Advancement and Leap White Paper’'Frost & Sullivan' 'Frost & Sullivan China' 'LeadLeo' 'LeadLeo Research Institute' 'LeadLeo' 'YUAN CAPITAL' 'SULLIVAN TELE-TREND CLOUD TECHNOLOGY' 'TradeGo' 'MagnaTEC' 'Automotive & Mobility' 'Environmental Protection & Energy Saving Technology' 'Logistics & Supply Chain' 'MATERNAL AND INFANT' 'Education & Training' 'Real Estate & Property' 'Catering & New Retailing' 'Advanced Materials' 'Healthcare & Life Sciences' 'Semiconductor & Chip' 'COMMERCIAL AVIATION' 'Technology, Media and Telecom' 'LANDSCAPING' 'Big Data & AI' 'Infrastructure Construction & Utilities' 'Culture & Entertainment' 'AGRICULTURE, FORESTRY ANIMAL HUSBANDRY AND FISHERY' 'Food & Beverage' 'Fintech' 'SHIPPING AND PORTS' 'Dual Carbon & New Energy' 'Mining & Metals' 'Public Sector' 'Cross-Border E-commerce Trade' 'Building Technology, Construction & Decoration' 'Beauty & Fashion' 'Smart Homes' 'Digital Infrastructure' 'Enterprise Services' 'Consumer Electronics'

Frost & Sullivan releases the‘2026 AI Advancement andLeap’White Paper

Large models, AI agents, multimodal technologies, and computing infrastructure continue to evolve, driving the global AI industry from model breakthroughs to large-scale applications. In 2025, the global AI market size was approximately US$1.1 trillion. China and the United States remain leading in model research, enterprise clustering, capital investment, and application ecosystems, with industry focus shifting toward computing efficiency, data quality, engineering deployment, and commercial value enhancement.

China has established a relatively complete AI ecosystem covering computing power, data resources, foundation models, development platforms, intelligent devices, and industry applications. AI agents are expanding from question answering, information retrieval, and content generation to task decomposition, tool invocation, cross-system execution, and result writeback. Internet services, financial services, industrial manufacturing, consumer retail, and education together account for 73.3% of China’s large language model application cases, while government services, healthcare, energy, telecommunications, logistics, and automotive mobility are also accelerating adoption.

As AI applications deepen, enterprises are focusing more on system stability, continuous optimization, and measurable business value. Heterogeneous computing orchestration, inference cost control, AI agent development, and integration with industry workflows will be key supports.

Driven by continued advances in large language models, AI agents, multimodal technologies, and computing infrastructure, the global artificial intelligence industry is moving from model breakthroughs toward large-scale deployment. The global AI market reached approximately US$1.1 trillion in 2025. China and the United States continue to lead in model development, enterprise clustering, capital investment, and application ecosystems, while industry priorities are shifting toward computing efficiency, data quality, engineering deployment, and commercial value creation.

China has developed a relatively comprehensive AI ecosystem spanning computing power, data resources, foundation models, development platforms, intelligent devices, and industry applications. AI agents are evolving beyond question answering, information retrieval, and content generation toward task decomposition, tool invocation, cross-system execution, and result writeback. Internet services, financial services, industrial manufacturing, consumer retail, and education together account for 73.3% of China’s large language model application cases, while government services, healthcare, energy, telecommunications, logistics, and mobility are also accelerating adoption.

As AI applications continue to deepen, enterprises are placing greater emphasis on system stability, continuous optimization, and measurable business value. Heterogeneous computing orchestration, inference cost control, AI agent development, and integration with industry workflows will provide critical support.

Click the following link to view an excerpt of the report:

If you have further research needs regarding the Chinese AI market, please contact us:

Mr. Yuan from Frost & Sullivan

E-mail: oliver.yuan@frostchina.com

2026年AI进阶与飞跃白皮书-摘要版.pdf
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