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Graphics Processing Unit (GPU) Market Size 2025-2029

The graphics processing unit (gpu) market size is forecast to increase by USD 738 billion, at a CAGR of 59.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing demand for advanced gaming and Virtual Reality (VR) experiences. These applications require high-performance graphics capabilities, leading to a surge in demand for more powerful GPUs. Additionally, the rise in demand for High-Performance Computing (HPC) applications, such as scientific simulations and machine learning, is also fueling market growth. However, challenges persist in the form of difficulties in upgrading GPUs in notebooks due to size and power constraints. Companies seeking to capitalize on market opportunities should focus on developing compact, power-efficient GPUs that can meet the demands of both gaming and HPC applications. Navigating the challenges of GPU upgrading in notebooks will require innovative solutions and collaboration between hardware manufacturers and OEMs. Overall, the GPU market presents significant opportunities for growth, particularly in the areas of gaming, VR, and HPC, while also posing challenges that require strategic solutions.

What will be the Size of the Graphics Processing Unit (GPU) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe GPU market continues to evolve, driven by advancements in technology and diverse applications across various sectors. High-end PCs integrate GPUs for texture filtering and game development, while AI chips utilize these components for deep learning acceleration. Cooling solutions and power management are crucial considerations for managing the increased power consumption of modern GPUs. Gaming consoles and server farms leverage GPU architecture for compute performance, with streaming multiprocessors and shader units enhancing graphics rendering and parallel processing capabilities. Memory bandwidth and clock speeds are essential factors in scientific computing and professional workstations. Data centers employ GPU clusters for data analytics, machine learning, and floating-point operations, while virtual reality and cloud gaming require GPUs for rendering complex graphics and handling real-time processing. HBM2E and tensor cores are among the latest innovations, offering improved memory efficiency and neural network acceleration. The graphics pipeline undergoes constant refinement, with ray tracing and compute shaders pushing the boundaries of visual realism. Thermal throttling and fan noise are ongoing concerns, necessitating advancements in cooling technology. The GPU market's continuous dynamism underscores its significance in driving technological progress and innovation.

How is this Graphics Processing Unit (GPU) Industry segmented?

The graphics processing unit (gpu) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeIntegrated GPUsDiscrete GPUsApplicationComputersTablets and smartphonesTelevisionGaming consolesEnd-userElectronicsIT and telecomDefense and intelligenceMedia and entertainmentOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyUKAPACAustraliaChinaIndiaJapanSouth KoreaRest of World (ROW).

By Type Insights

The integrated gpus segment is estimated to witness significant growth during the forecast period.The market continues to evolve with advancements in technology, as integrated GPUs become more prevalent. Unlike discrete GPUs, integrated GPUs are part of the processor and utilize system memory shared with the Central Processing Unit (CPU). This results in reduced power consumption and heat generation, extending battery life. In January 2024, AMD introduced the Ryzen 8000G series, which includes the Ryzen 7 8700G CPU and the Radeon 780M integrated GPU. This solution offers enhanced performance for gaming and graphics-intensive tasks, surpassing entry-level discrete GPUs while maintaining energy efficiency. Advancements in GPU architecture include texture filtering, which improves image quality, and ray tracing, which creates more realistic lighting effects in games and virtual reality (VR). Deep learning acceleration, powered by tensor cores and streaming multiprocessors, enables faster machine learning and artificial intelligence (AI) processing. High-bandwidth memory (HBM2E) and memory clock speeds enhance memory access and data analytics capabilities. Compute performance is a critical factor, with CUDA cores and shader units enabling parallel processing for scientific computing, professional workstations, and high-performance computing (HPC) applications. Data centers and server farms re

Mobile Graphics Processing Unit (GPU) Market Outlook

According to our latest research, the global Mobile Graphics Processing Unit (GPU) market size reached USD 15.3 billion in 2024, reflecting robust demand for advanced graphics solutions across mobile platforms. The market is poised for significant growth, with a projected CAGR of 13.7% from 2025 to 2033. By the end of the forecast period in 2033, the Mobile GPU market size is expected to attain approximately USD 44.5 billion. This impressive trajectory is driven by the proliferation of high-performance mobile devices, escalating consumer expectations for immersive visual experiences, and the integration of GPUs in emerging applications such as augmented reality (AR), virtual reality (VR), and artificial intelligence (AI)-based tasks.

The primary growth factor in the Mobile Graphics Processing Unit (GPU) market is the exponential increase in mobile device adoption globally. Smartphones and tablets have become ubiquitous, and their hardware requirements have evolved rapidly. Consumers now demand not only seamless connectivity but also high-quality graphics for gaming, video streaming, and professional applications. This shift has compelled manufacturers to integrate advanced GPUs capable of delivering desktop-level performance in compact, energy-efficient packages. The proliferation of mobile gaming, which now rivals traditional gaming platforms, has further accelerated the need for powerful GPUs, as developers push the boundaries of graphics fidelity and real-time rendering capabilities on mobile devices.

Another significant driver is the integration of mobile GPUs in a broader range of devices beyond traditional smartphones and tablets. Wearables, such as smartwatches and AR/VR headsets, increasingly rely on robust graphics processing for enhanced user interfaces and real-time data visualization. Additionally, the automotive industry is leveraging mobile GPUs for advanced driver-assistance systems (ADAS), infotainment, and digital cockpit solutions, where high-resolution graphics and low latency are paramount. The industrial sector is also adopting mobile GPUs for applications such as remote monitoring, predictive maintenance, and machine vision, further widening the addressable market for mobile GPU vendors.

Technological advancements in GPU architecture and fabrication processes have played a pivotal role in market growth. The transition to smaller process nodes, such as 5nm and 3nm, has enabled manufacturers to pack more transistors into a given die area, resulting in higher performance and improved power efficiency. Additionally, the adoption of new graphics APIs, such as Vulkan and Metal, allows developers to extract maximum performance from mobile GPUs while optimizing battery life. These innovations have not only enhanced the capabilities of flagship devices but also democratized high-end graphics for mid-range and entry-level products, expanding the market’s reach across diverse consumer segments.

Regionally, Asia Pacific dominates the Mobile Graphics Processing Unit (GPU) market, accounting for the largest revenue share in 2024. This leadership is attributed to the presence of major semiconductor manufacturers, a vast consumer base, and rapid technological adoption in countries like China, South Korea, and India. North America and Europe follow closely, driven by strong demand for premium mobile devices and a vibrant ecosystem of mobile application developers. Meanwhile, Latin America and the Middle East & Africa are witnessing accelerated growth as smartphone penetration deepens and local manufacturing capabilities improve. These regional dynamics ensure that the Mobile GPU market will continue to experience robust expansion and diversification over the coming years.

Product Type Analysis

The Mobile Graphics Processing Unit (GPU) market is segmented by product type into Integrated GPU and Discrete GPU. Integrated GPUs, which are built into the same chip as the central processing unit (CP

Snapshot img { margin: 10px !important; } AI GPU Chip Market Size 2025-2029

The ai gpu chip market size is forecast to increase by USD 145.1 billion, at a CAGR of 32.4% between 2024 and 2029.

The global AI GPU chip market is defined by the escalating demand for generative artificial intelligence and machine learning applications. This requirement for advanced ai computing hardware is met by accelerated innovation and specialization in AI GPU architecture, with new designs for ai accelerators enhancing parallel processing capabilities. The development of specialized chips is critical for training and deploying sophisticated AI models, particularly in the realm of ai in supercomputer environments, where computational intensity is at its peak. This drives continuous advancements in AI server hardware.However, the market is constrained by geopolitical tensions and profound supply chain disruptions. These factors create significant uncertainty and operational costs, affecting the trade of advanced semiconductor technology and equipment. This has compelled a strategic realignment of manufacturing and trade relationships, fundamentally reshaping the global landscape for graphics processing unit (GPU) and other ai in hardware components. These disruptions challenge the industry's ability to meet the consistently high demand for on-device AI workloads and other applications.

What will be the Size of the AI GPU Chip Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market for AI GPU chips is characterized by continuous evolution, driven by the need for enhanced parallel processing capabilities in ai computing hardware. Developments in system-on-a-chip architecture and high-bandwidth memory are central to meeting the computational demands of generative AI workloads. Innovations are not limited to hardware but also include the proprietary software platforms that create a comprehensive ecosystem for AI model training and deployment. This dynamic environment fosters a competitive landscape where architectural advancements directly influence market positioning and adoption rates across various applications.The application of AI accelerators extends across multiple domains, from large language models in data centers to on-device AI workloads at the edge. The growing complexity of deep learning algorithms necessitates ongoing research and development in chip design and semiconductor manufacturing. The trend towards custom silicon development by large technology firms indicates a strategic move to optimize performance for specific machine learning workloads. This specialization, combined with the expansion of GPU-as-a-Service offerings, is broadening access to high-performance computing resources and shaping the trajectory of AI hardware for edge devices.

How is this AI GPU Chip Industry segmented?

The ai gpu chip industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. DeploymentCloudEdgeHybridApplicationNatural language processingComputer visionRoboticsRecommendation enginesOthersEnd-userBFSIIT and telecomHealthcareAutomotive and transportationOthersGeographyNorth AmericaUSCanadaMexicoAPACChinaJapanSouth KoreaIndiaAustraliaIndonesiaEuropeGermanyUKFranceThe NetherlandsItalySpainSouth AmericaBrazilArgentinaColombiaMiddle East and AfricaUAESouth AfricaTurkeyRest of World (ROW)

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period.The cloud deployment segment is the largest and most dominant portion of the market, driven by the immense computational power required for training large language models and other complex artificial intelligence systems. Public cloud infrastructure is exceptionally well-suited for this task, leading major cloud service providers to engage in an intense arms race to offer the most powerful and efficient AI acceleration. This has resulted in significant capital expenditures and strategic partnerships with leading GPU manufacturers, including one deal that included a significant order for GPUs.This relentless upgrade cycle involves providers aggressively expanding their AI infrastructure by introducing new virtual machines powered by the latest-generation GPUs. The focus is on catering to a wide spectrum of AI workloads, from large-scale training to inferencing, and supporting even larger model inferencing without increased latency. The immense financial and infrastructural requirements to build and maintain cutting-edge AI data centers, including specialized power and cooling solutions, reinforce the central role of cloud deployment for advanced AI development and create high

Global Graphics Card Market is segmented by Application (Gaming _AI research _Data centers _Video editing _Cryptocurrency mining), Type (Gaming GPUs _Professional GPUs _AI/ML GPUs _Embedded GPUs Workstation GPUs), and Geography (North America LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)