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IDC says China is rapidly shifting into the next phase of the global AI boom, moving beyond foundational infrastructure and large model development into large-scale enterprise AI deployment, industrial automation, and agentic AI systems.
That was the central message from IDC Directions 2026 in Beijing, where more than 400 technology executives, analysts, and investors gathered to assess what IDC described as an accelerating “AI Supercycle” already reshaping China’s technology and industrial landscape.
IDC estimates global enterprise AI spending will reach $940 billion in 2026 and climb to $2.1 trillion by 2029, with China among the world’s fastest-growing AI markets.
According to Kitty Fok, managing director at IDC China, the first phase of the AI cycle focused largely on computing infrastructure, foundational models, and training capacity. The second phase — now underway — centers on enterprise applications, AI agents, and intelligent services deployed at operational scale.
The transition is significant because it suggests China is attempting to commercialize AI deployment at industrial and enterprise scale faster than many other markets still focused primarily on infrastructure build-outs.
IDC CEO Lorenzo Larini said China is no longer simply a large technology market but an increasingly influential force shaping global AI adoption patterns.
One area where China appears particularly aggressive is robotics and embodied AI.
IDC forecasts China will become the world’s largest robotics market by 2029, with spending on embodied intelligence projected to surge from $1.4 billion today to $77 billion within five years — representing a 94% compound annual growth rate.
The report also points to a deeper shift in how enterprise AI economics are being measured.
Rather than focusing solely on raw compute performance metrics such as FLOPS, IDC analysts said the industry is increasingly optimizing around “tokens per watt” — a measure of how efficiently AI systems generate useful output relative to energy consumption.
That reflects a broader industry transition from training-centric AI infrastructure toward inference-heavy enterprise deployment, where operational efficiency, cost management, and scalable AI execution become more important than peak computing benchmarks.
IDC expects inference workloads to account for more than 70% of intelligent computing demand by 2027, while the global accelerated computing server market is projected to surpass $1 trillion by 2029.
China’s enterprise adoption appears to be accelerating quickly. IDC estimates more than 60% of leading Chinese enterprises have already integrated generative AI into core business processes. Meanwhile, China’s Model-as-a-Service market is forecast to reach 40,000 trillion token calls in 2026 with revenue approaching 18.6 billion RMB.
The report also ties AI development directly to China’s broader industrial and geopolitical strategy under its 15th Five-Year Plan, which emphasizes digital sovereignty, AI-native platforms, and ecosystem-driven exports rather than traditional product-led expansion.
In manufacturing, IDC said industrial AI is already moving beyond pilot programs into operational deployment across production systems, supply chains, and decision-making workflows. Chinese enterprises are increasingly using AI to restructure end-to-end operational processes rather than simply automate isolated tasks.
The broader takeaway from IDC’s analysis is that China’s AI strategy is evolving from capacity accumulation toward commercialization and operationalization — an area many Western enterprises are still navigating cautiously.
That shift could become increasingly important as the competitive advantage in AI moves away from simply building large models toward deploying AI systems efficiently, economically, and at industrial scale.
That was the central message from IDC Directions 2026 in Beijing, where more than 400 technology executives, analysts, and investors gathered to assess what IDC described as an accelerating “AI Supercycle” already reshaping China’s technology and industrial landscape.
IDC estimates global enterprise AI spending will reach $940 billion in 2026 and climb to $2.1 trillion by 2029, with China among the world’s fastest-growing AI markets.
According to Kitty Fok, managing director at IDC China, the first phase of the AI cycle focused largely on computing infrastructure, foundational models, and training capacity. The second phase — now underway — centers on enterprise applications, AI agents, and intelligent services deployed at operational scale.
The transition is significant because it suggests China is attempting to commercialize AI deployment at industrial and enterprise scale faster than many other markets still focused primarily on infrastructure build-outs.
IDC CEO Lorenzo Larini said China is no longer simply a large technology market but an increasingly influential force shaping global AI adoption patterns.
One area where China appears particularly aggressive is robotics and embodied AI.
IDC forecasts China will become the world’s largest robotics market by 2029, with spending on embodied intelligence projected to surge from $1.4 billion today to $77 billion within five years — representing a 94% compound annual growth rate.
The report also points to a deeper shift in how enterprise AI economics are being measured.
Rather than focusing solely on raw compute performance metrics such as FLOPS, IDC analysts said the industry is increasingly optimizing around “tokens per watt” — a measure of how efficiently AI systems generate useful output relative to energy consumption.
That reflects a broader industry transition from training-centric AI infrastructure toward inference-heavy enterprise deployment, where operational efficiency, cost management, and scalable AI execution become more important than peak computing benchmarks.
IDC expects inference workloads to account for more than 70% of intelligent computing demand by 2027, while the global accelerated computing server market is projected to surpass $1 trillion by 2029.
China’s enterprise adoption appears to be accelerating quickly. IDC estimates more than 60% of leading Chinese enterprises have already integrated generative AI into core business processes. Meanwhile, China’s Model-as-a-Service market is forecast to reach 40,000 trillion token calls in 2026 with revenue approaching 18.6 billion RMB.
The report also ties AI development directly to China’s broader industrial and geopolitical strategy under its 15th Five-Year Plan, which emphasizes digital sovereignty, AI-native platforms, and ecosystem-driven exports rather than traditional product-led expansion.
In manufacturing, IDC said industrial AI is already moving beyond pilot programs into operational deployment across production systems, supply chains, and decision-making workflows. Chinese enterprises are increasingly using AI to restructure end-to-end operational processes rather than simply automate isolated tasks.
The broader takeaway from IDC’s analysis is that China’s AI strategy is evolving from capacity accumulation toward commercialization and operationalization — an area many Western enterprises are still navigating cautiously.
That shift could become increasingly important as the competitive advantage in AI moves away from simply building large models toward deploying AI systems efficiently, economically, and at industrial scale.
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