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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Graphics Card Market is a major component within the Graphics Processing unit of the PC, laptop, or other computing devices.
It gives the required clocking speed and refresh rate requirements within the computing technology to demonstrate and operate the required programmes within it.
This can be used for varied fields of purposes ranging from Military to Daily usage patterns-based requirements.The GPU is a specialized processor efficient at manipulating and displaying computer graphics.
The term was defined and popularized by Nvidia as a single chip processor with integrated transform, lighting, triangle setup/clipping, and rendering engines that is capable of processing a minimum 10 million per seconds.
Graphics Card Market is placed within the graphics processing unit, or GPU, which stands to be one of the most important types of computing technology, both for personal and business computing.
Designed for parallel processing, the GPU is used in a wide range of applications, including graphics and video rendering.
Modern GPUs are very efficient at manipulating and displaying computer graphics. But it is also used in general purpose computation in various computation intensive algorithms.
These algorithms can harness the high multiplicity of the GPU to improve their performance.
There has been an increased consciousness being given towards the presence of Graphics Processing Units onboard various platforms which includes Smartphones as well.
This contributes to increased demand for durable and less power consuming graphic processing units for smartphones which is expected to foster high growth of integrated GPUs.
Also, smartphone manufacturers are developing products supporting VR and AR, which is expected to act as an opportunity for the smartphone GPU
To know more about Global Gaming Graphic Cards Market, read our report
The Radeon RX 7000 series graphics cards' next-generation RDNA 3 GPUs will consume more power than current options while still improving performance per watt by 50%.
For their next-generation GPUs to provide better performance, AMD and NVIDIA are both expected to place a strong emphasis on efficiency and GPU power design.
We have seen various leaks for NVIDIA's GeForce RTX 40 series graphics cards which are expected to rock up to 600W designs.
AMD claims that even if they announced a more than 50% increase in performance per watt over the previous generation, this doesn't preclude the possibility of increased power requirements for RDNA 3 'Radeon RX 7000' series graphics cards.
Additionally, considering that triple 8-pin connectors can only support up to 450W and that no manufacturer has chosen that design for its reference cards at least, next-generation graphics cards with TBPs of 400â450W will need to use the new PCIe Gen 5 connectors (yet).
Therefore, it is unclear from the AMD camp if the company plans to use the triple 8-pin connector or the new PCIe Gen 5 connector, which will comply with ATX 3.0 standards and provide reliable performance.
GPUs have evolved into many-core processing units, currently with up to 30 multi-processors per card, in response to commercial demand for real-time graphics rendering, independently of demand for many-core processors in the scientiï¬c computing community.
Factors such as constant advancements in graphic-based games, traction in augmented reality (AR) and virtual reality (VR), trending artificial intelligence (AI), and growing adoption of gaming laptops and computers are expected to fuel the graphics processing unit technological integration in the near future
In addition to this, the thriving portable electronics and wearables market, and growing popularity of Internet of things (IoT) is expected to drive the growth of the graphics processing unit in the upcoming years.
However, inability of integrated GPU to facilitate intensive graphic designing software is expected to hamper the growth of technology within the graphics processing unit.
The graphics card Market has become an essential component in recent years with their integration into various fields of computation and design analysis.
This includes its integration into the Life Sciences wherein, Sequencing and protein docking are done using a computerised technology.
This has the procedural requirement of calculating intensive tasks that see a larger performance benefit by using CUDA enabled GPU. There is a relatively bit of ongoing work on GPUs for a range of bioinformatics and life sciences codes.
The defence and intelligence community heavily rely on accurate and timely information in its strategic and day to day operations.
Intelligence gathering and assessment are essential parts of these activities that comprise data coming from the number of move away sources such as satellites, surveillance cameras, UAVs, and radar.
Converting the collected raw data into actionable information required a significant infrastructure-people, computer hardware and software, power, and facilities âall of which are limited.
These tasks and functionalities are completely established by the recently integrated Game Changing Technology or GCT into the systematic functions of military automation.
Medical Imaging is one of the initial integrations which is now being extensively used in the market to take advantage of GPU Computing to get acceleration.
The use of GPUs in this field has developed to the point that there are several medical modalities shipping with NVIDIAâs Tesla GPUs now.
The Global Graphics Card Market can be segmented into following categories for further analysis.
GPUs have truly been a disruptive technology. Starting out as academic examples, they were shunned in scientific and high-performance communities: they were inï¬exible, inaccurate, and required a complete redesign of existing software.
GPUs were never designed for high-performance computing in mind but have nevertheless evolved into powerful processors that ï¬t this market perfectly in less than ten years.
NVIDIA have just released its most recent architecture, called Kepler, which has several updates compared to the Fermi architecture which was present in the market. This has made the recent technological integration more viable in terms of its compactness and requirement fulfilment.
With increased Cores within the small number of multiprocessors presence, NVIDIA created one of the most efficient technological advancements in terms of lightness and compact capability.
However, NVIDIA has been into technological plans for the high-performance segment with their work on combining ARM CPU cores and Maxwell GPU cores on the same chip.
This gives an indication of a combination of CPU and GPU to be made soon in the near future which would further increase the compactness and contribute towards reduction in size.
The next most known GPU manufacturing organisation, AMD has been also involved in creating new architectures for improvised levels of gaming experiences to the user in recent days.
AMDâs RDNA architecture is a scalar architecture, designed from the ground up for efficient and flexible computing, that can scale across a variety of gaming platforms.
Graphics processors (GPUs) built on the RDNA architecture by AMD will span from power-efficient notebooks and smartphones to some of the worldâs largest supercomputers.
To accommodate so many different scenarios, the overall system architecture is designed for extreme scalability while boosting performance over the previous generations.
There has been a recent development within the GPU Technology enhancement that was released as part of technological integration by China based Shanghai Tianshu Zhixin Semiconductor Co.
The Organisation had released its latest 7 Nanometre GPU Chip which is made of whooping 24 Million transistors. The Chip was made in concentrated usage within the commercial segments of the market rather than into personal usage sectors within gaming and lesser noted requirements.
The Chip is known as the Big Island (BI), which can operate at a clocking speed out of up to 147 TFLOPS of FP16 performance.
This certainly builds up the competitive structuring with similar products from Nvidia and AMD which run approximately on same clocking performance speeds in the enterprise commercial sector usage.
Nvidia considerably restarted the production of dedicated graphics processing units (GPUs) for cryptocurrency miners, which are called CMPs. CMPS are GPUs without video output, so they are cheaper to produce.
Although cryptocurrency mining is not expected to be a major source of demand for Nvidia' products, the gaming sector is, and restarting CMPs would allow the company to meet the demand for gaming GPUs.
The competition amongst the GPU design organizations and vendors has increased in recent years considering the growing demand for GPU usage in various sectors of industrial operations and military requirements around the world.
There has been a leading edge of competition being given up by the GPU based Startups in Architecture and framework designs.
The Top Production Competitors in the GPU Segment or Graphic Cards Segment on a global scenario includes NVIDIA, Broadcom Corporation, Infor, Broadcom, Xilinx, AMD, Intel, and Qualcomm.
NVIDIA has been the topmost organization involved with designing and manufacturing of every possible GPU Infrastructure and Architecture for varied classes of industrial usage ranging from AI / ML to Augmented Reality and Military Technological Integrations.
AMD has been in tough competition with NVIDIA in terms of its focus on lower and mid ranged prices of GPUs being introduced into the gaming market.
AMD has managed to outpace Nvidia in the past 3 years as it tends to focus on lower and mid-range priced GPUs. In addition, it was announced last year that Advanced Micro Devices will work with Hewlett Packard Enterprises on the El Capitan Project, powering the worldâs fastest supercomputer.
This gives AMD the required edge on this establishment post pandemic as one of the major contributors to the projects of International importance thereby increasing its branded value.
In addition to the previously laid companies within the GPU market, Apple has entered into the market production and began producing its own chips, breaking up a 14-year partnership with Intel as part of Chips and GPU collaboration.
GeForce RTX 40 Series Graphics Cards: Up To 4X Faster, Powered By 3rd Gen RTX Architecture & NVIDIA DLSS 3.The GeForce RTX 40 Series graphics cards from the new ultra-efficient NVIDIA Ada Lovelace, 3rd generation RTX architecture, are very quick, offering creators and gamers a quantum jump in performance, AI-powered visuals, more immersive gaming experiences, and the quickest content production workflows.
The newest games have up to a 2X increase in gaming performance, and by utilising DLSS 3 and new Ada developments, developers may increase performance in fully ray-traced games by up to a 4X increase.
GeForce RTX 40 Series graphics cards offer up to two times as much performance in 3D rendering, video export speed, and AI features for creative apps.
The system will be able to render completely realistic, fully ray-traced worlds at the highest resolutions, with astounding levels of detail and performance, thanks to the new GeForce RTX 4090 and GeForce RTX 4080.
Portal with RTX, NVIDIA Racer RTX, and Cyberpunk 2077's new Ray Tracing: Overdrive Mode will all be available shortly, showcasing the fantastic experiences that developers can now create with GeForce RTX 40 Series graphics cards.
Ada also powers recent additions that improve your experience: Utilising the new Optical Flow Accelerator, NVIDIA DLSS 3 increases frame rates; NVIDIA RTX Remix makes it simple to create amazing modifications for classic games like Portal with RTX that use ray tracing and DLSS .
Ray-traced rendering is revolutionised by Shader Execution Reordering, and AV1 dual encoders speed up video exports by up to 2X while vastly enhancing the quality of livestreams and video conversations.
Ada has advantages over current features as well. With system latency as low as 10 milliseconds in popular eSports games, NVIDIA Reflex makes games even more responsive for players, and GeForce Experience can now record action at up to 8K 60 FPS in HDR.
For creators, NVIDIA Broadcast, a free NVIDIA Studio tool that improves your camera for video calls and broadcasts and removes background noise from your microphone, applies effects up to 2X quicker than previous generation.
Additionally, NVIDIA Omniverse producers benefit from an average 2 X speedup in Ada's performance for interactive route tracing and real-time RTX ray tracing.
As a result of these and other Ada improvements, game designers and app developers have already added NVIDIA DLSS 3 to over 35 games and applications, including Warhammer 40,000: Darktide, Cyberpunk 2077, Microsoft Flight Simulator, A Plague Tale: Requiem, and Unreal Engine, Unity, and NVIDIA Omniverse. Justice, Portal, and Cyberpunk 2077 will all include full ray tracing thanks to RTX.
Eight more titles, including Overwatch 2 and Cyberpunk 2077, will soon include NVIDIA Reflex. Additionally, the fully tested Game Ready and NVIDIA Studio drivers support all functionality.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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