AI Computer Market Size & Share

AI Computer Market Size & Trends

The global AI computer market size was estimated at USD 51.10 billion in 2024 and is expected to witness a CAGR of 34.4% from 2025 to 2030. AI-powered PCs are designed for processing, mining, and performing real-time data analysis, making them especially valuable in data-intensive sectors like finance, healthcare, and retail. Integrating high-performance NPUs is a key driver of growth in the AI PC market. These NPUs have enabled the creation of advanced AI PCs capable of handling the complex computations required for AI tasks. Moreover, the growing need for data-driven decision-making and automation drives the demand for AI-powered PCs in the enterprise sector. As enterprises continue to manage increasing volumes of data, the demand for AI PCs in this sector is also rising.

Al is transforming content creation methods and gaming experiences by creating more realistic environments, smarter NPCs (non-player characters), and more immersive gameplay experiences, as well as by providing automated tools for photo, video, and audio editing. Al can analyze content, suggest improvements, remove unwanted elements, and generate content autonomously. This streamlines workflows for professionals and casual creators alike. Intel Corporation (US) introduced Intel Core Ultra 2005 series desktop processors in January 2025 with 12 new 65-watt and 35-watt offerings for desktop users. It is equipped with up to 8 performance cores and 16 efficiency cores. It is used for gaming and content-creating applications. Al-driven PCs offer real-time rendering and advanced visual effects for industries like film production, graphic design, and 3D modeling. This significantly reduces the time required to process complex creative tasks, improving productivity and allowing creators to experiment with more intricate designs.

AI computing is experiencing rapid growth, transforming industries and reshaping daily life. With advancements in machine learning, deep learning, and neural networks, AI systems have become more sophisticated and capable of handling complex tasks like natural language processing, image recognition, and predictive analytics. Integrating AI into various fields, from healthcare and finance to entertainment and autonomous vehicles, is revolutionizing how businesses operate and improving efficiency across sectors.

Developing more powerful processors, such as graphics processing units (GPUs) and specialized AI chips, has significantly boosted AI’s computational power. These innovations allow AI systems to process vast amounts of data faster, enabling them to learn and adapt quickly. Moreover, AI algorithms continue to evolve, becoming increasingly accurate and versatile, with applications ranging from personalized recommendations to advanced robotics.

Computing Device Insights

The Desktop & Notebooks segment led the market, accounting for 54.4% of the global revenue in 2024. Significant improvement in hardware for AI processing is fueling market growth. Graphics Processing Units (GPUs) are becoming the primary processors for AI workloads thanks to their parallel processing capabilities, which are ideal for the massive amounts of calculations involved in AI algorithms. Manufacturers like NVIDIA, AMD, and Intel have developed AI-optimized GPUs. Even Google’s Tensor Processing Units (TPUs) are optimized for machine learning tasks. Moreover, the evolution of CPUs, such as Intel’s Alder Lake and AMD Ryzen series, which incorporate AI acceleration capabilities, enables desktop and notebook systems to handle AI tasks more efficiently.

Workstations in computing systems are evolving rapidly to meet the growing demands of AI applications. Traditional CPUs are being supplemented by GPUs and TPUs, which excel at handling parallel processing tasks necessary for AI, particularly deep learning. High-performance CPUs with multiple cores and specialized hardware like NVIDIA A100 GPUs or Graphcore’s IPUs are increasingly common in AI workstations. These systems also feature vast amounts of memory (up to 256GB or more) and fast storage solutions like NVMe SSDs to handle the large datasets and high-speed data processing required by AI workloads. AI workstations are increasingly integrated into scalable, distributed systems, utilizing cloud computing resources to meet the demands of larger AI models. Custom AI hardware, such as FPGAs, allows for optimizing specific tasks, improving efficiency in specialized applications.

Operating System Insights

Windows accounted for a significant share in 2024. Integrating artificial intelligence (AI) into operating systems, particularly Windows, significantly transforms the computing landscape. Microsoft has been at the forefront of this evolution, embedding AI capabilities into Windows 11 to enhance user experience and system performance. Windows has introduced many AI-driven features to fuel market growth. For instance, in May 2024, Microsoft announced “Copilot+ PC,” a category of Windows 11 devices designed to support advanced AI features. These PCs require an onboard AI accelerator, at least 256GB of storage, and a minimum of 16GB of RAM. The first wave of Copilot+ PCs runs on the Qualcomm Snapdragon X Elite system-on-chip, with x86-64-based models featuring AMD Ryzen AI and Intel Core Ultra CPUs expected later in the year.

Apple has significantly enhanced macOS by introducing Apple Intelligence, a personal intelligence system that integrates generative AI models to deliver contextually relevant assistance. Moreover, significant initiatives by Apple are fueling the segment demand. For instance, in June 2024, Apple announced Apple Intelligence, a groundbreaking personal intelligence system deeply integrated into iOS 18, iPadOS 18, and macOS Sequoia. This innovative technology combines the power of generative models with a user’s context to deliver helpful and relevant intelligence across iPhone, iPad, and Mac devices. Apple Intelligence leverages Apple silicon to understand and create language and images, take action across apps, and simplify everyday tasks while strongly focusing on user privacy through on-device processing and Private Cloud computing.

Architecture Insights

ARM architecture in AI computers accounts for the highest revenue share in 2024. accounted for a significant share of the market in 2024. Arm architecture is increasingly influential in the AI computing market, driven by its energy-efficient design and adaptability across various devices. Arm’s CPUs have been foundational in bringing AI capabilities to billions of users worldwide, enabling AI inference on diverse computing platforms. ARM has proactively enhanced its CPUs’ AI capabilities, introducing features like Neon, Helium, Scalable Vector Extension (SVE), and Scalable Matrix Extension (SME). The latest Armv9 architecture focuses on delivering increased compute performance while reducing power consumption for AI workloads

x86, which is expected to grow to the highest CAGR over the forecast period. The x86 architecture has been a cornerstone in computing for decades, and its role in the AI market is expanding. Major processors from Intel and AMD are now incorporating specialized features to enhance AI performance. Intel’s Advanced Matrix Extensions (AMX), introduced in 2020, is designed to accelerate matrix operations, which are fundamental to AI and machine learning tasks. These extensions enable more efficient processing of complex AI models, making x86 processors increasingly suitable for AI workloads.

Price Insights

The low range (USD 500 – 1500) in AI computers accounted for the highest share in revenue in 2024. The market is experiencing significant growth, with the low-range segment priced between $500 and $1,500 becoming increasingly prominent. Companies are responding to this demand by introducing more accessible AI hardware. For instance, Nvidia launched a $249 version of its Jetson computer, targeting small businesses and hobbyists interested in AI applications. Moreover, this growth is driven by the increasing integration of AI capabilities into personal computing devices, making advanced technologies more accessible to a broader range of consumers and businesses.

High range (3600 & above) is expected to grow at the highest CAGR over the forecast period.  The market, particularly for high-end systems priced at $3,600 and above, is experiencing significant growth. Analysts anticipate a 10% to 15% price increase for AI-capable PCs, driven by integrating advanced hardware components like Neural Processing Units (NPUs) and specialized GPUs.

Type Insights

Hardware-enabled AI PCs accounted for a significant share of the market in 2024. Hardware-enabled AI PCs are rapidly growing in the AI computing segment due to the increasing demand for more powerful, efficient, and specialized computing resources. These systems integrate advanced hardware, such as GPUs, TPUs, and FPGAs, designed specifically to accelerate AI workloads. The rise of AI-driven applications, including machine learning, deep learning, and data analytics, has driven the need for high-performance computing capabilities. In addition, hardware-enabled AI PCs offer enhanced processing speed and energy efficiency, making them suitable for both research and commercial applications. As AI evolves, this hardware-focused approach is critical for achieving faster, more scalable AI solutions. Companies are investing heavily in developing and deploying these specialized AI systems, fueling market growth.

Advanced AI PCs is going to register significant CAGR growth over the forecast period. Advanced AI PCs are experiencing significant market growth, driven by integrating specialized hardware and software designed to handle complex AI tasks efficiently. These systems are equipped with powerful processors and AI accelerators, such as Neural Processing Units (NPUs), which enhance performance and energy efficiency. This integration enables AI PCs to perform tasks like data analysis, machine learning, and real-time decision-making directly on the device, reducing reliance on cloud computing.

Regional Insights

North America accounted to hold significant share in the market and accounted for a 32.20% share in 2024. The growth is driven by integrating specialized processors designed to handle AI workloads, enhancing performance and user experience. Major players like Apple and Intel are leading the market due to its M-series chips featuring neural engines in its Mac lineup and Intel achieving a significant market share despite being a late entrant. The increasing adoption of AI technologies across various industries further propels the demand for AI-capable PCs in the region. This trend is expected to continue, with projections indicating AI-capable PC shipments.

U.S. AI Computer Market Trends

The AI computer industry in the U.S. is heavily influenced by the expansion and advancements in AI hardware, including specialized chips like GPUs, TPUs, and NPUs, which are accelerating AI workloads. Investments in AI infrastructure are also on the rise, with companies like Microsoft and BlackRock launching a $30 billion fund to develop and expand data centers and energy infrastructure in the U.S., aiming to enhance domestic AI capabilities.

Asia Pacific AI Computer Market Trends

The AI computer market in Asia Pacific is experiencing rapid growth, driven by the region’s booming urbanization and expanding middle class. As countries such as China and India experience hot climates and growing populations, the demand for air conditioning systems is on the rise. Smart air conditioners with energy-saving features and IoT connectivity are gaining popularity as consumers seek cost-effective cooling solutions. Adopting smart home technology in countries such as Japan and South Korea further drives demand, with users looking for seamless integration between air conditioning and other home automation devices.

Key AI Computer Company Insights

Some of the key companies in the market include Dell Inc., HP Development Company, L.P., Lenovo, Intel Corporation, Advanced Micro Devices, and others. Organizations focus on increasing their customer base to gain a competitive edge in the industry. Therefore, key players are taking several strategic initiatives, such as mergers and acquisitions and partnerships with other major companies.

• HP is a technology company committed to making the world a better place through climate action, human rights, and digital equity. With over 80 years of experience, HP strives to drive extraordinary contributions to humanity through innovation. Their portfolio includes personal systems, printers, and 3D printing solutions designed to inspire meaningful progress. HP is dedicated to reinventing digital life through a team of technology leaders. The HP Foundation supports tech-related learning and charitable giving, while HP Labs focuses on transformative technologies. HP also prioritizes sustainable impact by innovating to drive positive change.

• NVIDIA is at the forefront of powering the metaverse, the emerging 3D internet, through its innovative NVIDIA Omniverse platform. Omniverse facilitates effortless virtual collaboration and enables industrial giants to leverage the efficiencies of digital twins. NVIDIA’s technologies are driving advancements in AI computing, offering solutions that enhance virtual experiences and streamline industrial processes. By providing tools to build and operate metaverse applications, NVIDIA is shaping the future of how we interact with technology and each other in immersive, virtual environments.

Recent Developments

• In June 2024, Apple announced Apple Intelligence, a new personal intelligence system for iPhone, iPad, and Mac, deeply integrated into iOS 18, iPadOS 18, and macOS Sequoia. This system combines the power of generative models with personal context to enhance language and image creation, take actions across apps, and simplify everyday tasks. Apple Intelligence prioritizes user privacy through on-device processing and Private Cloud Compute, which uses dedicated Apple silicon servers to handle more complex requests without retaining user data.

• In September 2024, Lenovo announced a series of groundbreaking AI PCs designed to redefine the future of professional computing. The new lineup includes the ThinkPad X1 Carbon Gen 13 Aura Edition, co-developed with Intel, the ThinkPad T14s Gen 6 AMD, and the ThinkBook 16 Gen 7 series. The ThinkPad X1 Carbon Gen 13 Aura Edition is a premium business laptop weighing less than 1kg, integrating innovative features like Smart Modes, Smart Share, and Smart Care. The ThinkPad T14s Gen 6 AMD, powered by the latest AMD Ryzen AI processors, delivers a 3X performance boost and exceptional responsiveness.

AI Computer Market Report Scope

Global AI Computer Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global AI computer market in terms of computing devices, operating systems, type, architecture, price, and region.

• Computing Device Outlook (Revenue, USD Million, 2018 – 2030)

  • Desktop & Notebooks

  • Workstations

• Operating System Outlook (Revenue, USD Million, 2018 – 2030)

  
  

• Type Outlook (Revenue, USD Million, 2018 – 2030)

  • Hardware-enabled AI PCs

  • Next-generation AI PCs

  • Advanced AI PCs

• Architecture Outlook (Revenue, USD Million, 2018 – 2030)

  
  

• Price Outlook (Revenue, USD Million, 2018 – 2030)

  • Low Range (USD 500 – 1500)

  • Mid-Range (USD 1600 – 3500)

  • High Range (3600 & above)

• Regional Outlook (Revenue, USD Million, 2018 – 2030)