Opening
AI PC Statistics: An AI PC is a computer built with a dedicated Neural Processing Unit, or NPU, alongside its usual CPU and GPU, specifically to handle AI tasks like voice recognition, image editing, translation, and local language models. Rather than routing every AI request through the cloud, these machines process much of that work directly on the device, improving speed, privacy, and reliability even without an internet connection. The category is reshaping how laptops are designed, marketed, and sold, as Intel, AMD, and Qualcomm race to build faster NPUs and Microsoft’s Copilot+ certification sets a baseline that manufacturers now design around.
Software support is still catching up to the hardware, but adoption is accelerating as operating systems and everyday apps increasingly build in on-device AI features. As this gap narrows, AI PCs are shifting from a niche upgrade to the expected standard for new laptops. This article explores the key statistics in the AI PC industry.
Must-Know Facts in the Editor’s Eye
- AI PCs are expected to reach 93% of global commercial PC shipments by 2028.
- Combined generative AI laptop penetration is expected to rise from 26% in 2024 to 82% in 2026.
- 83% of respondents believe AI PCs will reduce repetitive tasks for employees.
- 97% of organizations expect to deploy AI to more employees in the future.
- Gartner expects 40% of software vendors to prioritize AI on PCs by late 2026.
- 54% of consumers said they would upgrade to an AI PC within 1 year.
- 56% of respondents rated automatic hardware optimization, like battery management, as very useful.
- AI PCs’ global sales share is projected to jump from 18% in 2024 to 55% in 2026.
Recent AI PC Developments
- In January 2025, AMD launched Ryzen AI Max processors with up to 16 Zen 5 cores, 40 graphics units, and 50 NPU TOPS.
- In January 2025, AMD expanded Ryzen AI 7 and AI 5 chips, offering up to 8 Zen 5 cores and 50 NPU TOPS.
- In January 2025, Qualcomm introduced Snapdragon X for Copilot+ PCs near USD 600, with 45 NPU TOPS and 8 CPU cores.
- Qualcomm expected 60+ Snapdragon X designs in production during 2025 and 100+ designs by 2026.
- In May 2025, HP launched 14-inch and 16-inch OmniBook 5 AI PCs using Snapdragon X and X Plus processors with 45 NPU TOPS.
- In May 2025, Intel expanded Windows ML support, enabling Core Ultra 200V systems with integrated NPUs reaching 48 TOPS.
- In July 2025, Samsung launched Galaxy Book4 Edge in India, pairing Snapdragon X with 45 NPU TOPS for on-device AI.
- In September 2025, Lenovo refreshed ThinkPad X9 Aura Edition in 14-inch and 15-inch models, delivering over 40 TOPS.
- Lenovo’s ThinkPad P16 Gen 3 launched in October 2025 from EUR 2,899, with Intel Core Ultra 200HX processors supporting up to 24 cores.
Global AI PC Market Growth
(Source: market.us)
- The global AI PC market is projected to grow from USD 34.2 billion in 2023 to USD 433.1 billion by 2033.
- The market is expected to expand at a 28.9% compound annual growth rate from 2024 to 2033.
- Market value is forecast to reach USD 44.1 billion in 2024, USD 56.8 billion in 2025, and USD 73.2 billion in 2026.
- By 2030, the AI PC market is projected to reach USD 202.2 billion.
- Windows is expected to remain the largest operating-system segment, followed by macOS and Chrome.
AI PCs in Commercial Shipments
- IDC projects that AI PCs will expand rapidly in commercial markets.
- AI PCs represented 5.5% of global commercial PC shipments in 2023.
- By 2028, AI PCs are expected to account for 93% of global commercial PC shipments, reflecting a major shift toward AI-enabled devices.
(Reference: AMD)
Generative AI Laptop Shipment Outlook
- Generative AI laptop shipments are expected to grow at a 91% CAGR between 2023 and 2026.
- AI-capable laptops represented 17% of laptop shipments in 2024 and are forecast to reach 23% in 2026.
- AI-advanced laptops accounted for 9% of shipments in 2024 and are projected to reach 59% by 2026.
- Combined generative AI laptop penetration is expected to increase from 26% in 2024 to 82% in 2026.
(Source: Counterpoint Research)
Expected Business Impacts of AI PCs
- 83% of respondents believe AI PCs will reduce repetitive tasks.
- 79% expect AI PCs to help employees focus on more important work.
- 76% anticipate higher productivity from AI PC adoption.
- 75% believe AI PCs may reduce certain job roles.
- 75% expect AI PCs to support greater employee creativity.
- 74% expect AI PCs to lower the total cost of ownership.
- 72% believe AI PCs will accelerate innovation within their organizations.
(Reference: AMD)
AI PC Adoption Drivers
- 77% of respondents value AI PCs for delivering more personalized employee experiences.
- 75% consider stronger data privacy a key AI PC benefit.
- 74% prioritize AI PCs’ ability to reduce cybersecurity risks.
- 60% would replace aging systems with new Windows 11 PCs rather than upgrade existing devices.
- 82% expect new AI-enabled systems to have a somewhat or very positive effect on employees.
- 97% expect to deploy AI to more employees in the future.
Insights on AI Investment to PCs
- Gartner expects 40% of software vendors to prioritize AI capabilities on PCs by the end of 2026, up from 2% in 2024.
- Multiple small language models are expected to run locally on PCs in 2026, compared with zero in 2023.
- Local AI can deliver faster responses, reduce energy use and cloud dependence, and strengthen data security.
AI PC Market Momentum
- Windows PCs priced above USD 800 grew 9% sequentially, indicating that AI PCs are supporting demand in the premium segment.
- Lenovo’s AI PC shipments increased 228% sequentially and represented about 6% of its total Windows PC shipments.
- AI PCs accounted for 8% of HP’s Windows shipments and just below 7% of Dell’s Windows shipments.
- Apple held about 60% of the AI PC market, supported by Mac devices with M-series chips and neural engines.
- Microsoft’s AI PC shipments grew 127% sequentially after it introduced Copilot+ PCs in May using Qualcomm Snapdragon processors.
Consumer Demand for AI PCs
- 54% of consumers said they would upgrade to an AI PC within 1 year and pay a premium price.
- Online shopping is the leading personal-computer activity, reported by 89% of consumers.
- Email and social media use follow at 87%, while 79% use PCs for web browsing.
- 73% watch movies or shows, and 56% use PCs for video or photo editing.
- Remote work represents 52% of PC activity, while gaming accounts for 50%.
- Only 2% selected other activities, indicating that AI features should focus on mainstream digital tasks.
(Reference: Alixpartners)
Consumer Priorities for AI PC Features
- 56% of respondents rated automatic hardware optimization, such as battery management, as very useful.
- 53% considered early warnings about computer issues, including overheating or storage limits, very useful.
- 51% identified virus and malware protection as their main computer-security concern.
- 47% rated computer file search, online-activity protection, and writing assistance as very useful.
- 45% viewed image generation, photo or video editing, and task automation as very useful.
- 42% rated gift suggestions based on online activity and consumer trends as very useful.
- AI PCs can improve security, privacy, and device performance when users retain control over personal data.
AI PCs’ Growing Share of Global Sales
- AI PCs represented 18% of global computer sales in 2024.
- Their market share is projected to nearly double to 35% in 2025.
- AI PCs are expected to account for 55% of global computer sales in 2026.
- Their share is forecast to increase to 60% in 2027.
- By 2028, AI PCs are projected to represent 75% of worldwide computer sales.
(Source: Brandsit)
AI PC by Operating System
- Gartner defines AI PCs as devices with NPUs running Windows on Arm, Windows x86, or macOS on Arm.
- AI PCs are forecast to represent 31% of global PC sales, or 77.8 million units, in 2025.
- Windows x86 systems are expected to comprise 71% of AI business laptops in 2025.
- Arm-based Windows laptops are forecast to comprise 24% of AI business laptops in 2025.
- AI-capable Windows PCs are forecast to rise from under 10% in 2024 to 30% in 2025.
- AI-capable Windows PCs are projected to reach 50% of Windows PC shipments in 2026.
- AI laptops are forecast to represent 35.7% of all laptops, while AI desktops reach 16.4% in 2025.
- Gartner expects AI PCs to reach 55% of global PC shipments, or 143 million units, in 2026.
AI PC Processor and NPU Performance
- Intel Core Ultra Series 2 processors deliver up to 48 NPU TOPS, tripling the previous generation’s AI processing capability.
- Qualcomm Snapdragon X Elite integrates an 8-core CPU, 30 MB cache, 135 GB/s memory bandwidth, and a 45 TOPS NPU.
- AMD Ryzen AI Max+ 395 combines 16 CPU cores, 32 threads, 40 graphics units, 80 MB cache, and 50 NPU TOPS.
- AMD Ryzen AI 9 HX PRO 375 offers 12 cores, 24 threads, 36 MB cache, 55 NPU TOPS, and 15–54 W power.
- AMD Ryzen AI Max PRO 390 includes 12 cores, 24 threads, 76 MB cache, 50 NPU TOPS, and 55–120 W power.
- Ryzen AI 300 processors provide up to 5x first-generation NPU performance, targeting more capable local AI workloads.
- Snapdragon X delivers up to 163% faster performance at equivalent power, while competitors require 168% more power at equivalent performance.
- Snapdragon X series NPUs can reduce AI inference latency by over 35x versus CPU-only processing.
Ending
AI PCs are quickly going from a nice-to-have upgrade to the new normal. More of them are shipping, taking up more of the market, and more people say they’re willing to pay for one. The chips that power AI tasks keep getting better at Intel, AMD, and Qualcomm, and businesses expect these PCs to make work faster and more creative.
Most people care more about practical things, like security, than flashy extras. As Windows, software companies, and PC makers all build around AI running on the device itself, AI PCs are on track to become the main type of PC sold in just a few years.
FAQ
An AI PC is a computer with a dedicated Neural Processing Unit, or NPU, that runs AI tasks like voice recognition, image editing, and real-time translation directly on the device.
AI PCs include an NPU alongside the CPU and GPU, allowing them to run AI workloads faster, more efficiently, and often without needing an internet connection.
An NPU, or Neural Processing Unit, is a specialized chip designed to handle AI and machine learning tasks more efficiently than a traditional CPU or GPU.
Most everyday tasks like browsing, emailing, and office work don’t require an AI PC, but it can improve performance for AI-powered features already built into some apps and operating systems.
Major companies producing AI PCs include Intel, AMD, and Qualcomm for chips, along with manufacturers like Dell, HP, Lenovo, Microsoft, and Apple for devices.
AI PCs can cost more than standard laptops due to the added NPU hardware, though prices vary widely depending on brand, specifications, and overall performance.
Yes, since NPUs handle AI tasks more efficiently than CPUs or GPUs, AI PCs can reduce power consumption during AI-related tasks, helping extend battery life.
Yes, one key benefit of AI PCs is running certain AI models locally on the device, which improves privacy, speed, and reliability without needing cloud access.
