市場調查報告書
商品編碼
1370865
圖形處理單元市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測,按類型、設備、垂直行業、地區和競爭細分Graphics Processing Unit Market-Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Type, By Device, By Industry Vertical, By Region and Competition |
預計全球圖形處理單元 (GPU) 市場將在 2023 年至 2028 年預測期內蓬勃發展。由於智慧型手機、穿戴式裝置、平板電腦和遊戲機等裝置對可靠、有效和快速的視覺處理的需求不斷成長,GPU 市場正在迅速擴大。
GPU 市場是由人工智慧 (AI)、虛擬實境 (VR) 和擴增實境 (AR) 平台改進圖形運算系統的需求所推動的。由於視覺遊戲的不斷改進、擴增實境(AR)和流行的人工智慧(AI)以及虛擬實境(VR)的日益普及,該產業正在不斷發展。毫無疑問,用於人工智慧平台的 GPU 在不久的將來會變得司空見慣,它可以減少當前的故障和資訊遺失問題。
此外,隨著企業經歷數位轉型並採用大資料、雲端、人工智慧 (AI) 等尖端技術,他們正集中精力圍繞預期支援 DNN 和 AI 的工作負載設計資料中心。該公司更喜歡能夠容納 GPU 伺服器的資料中心,因為它們具有許多優勢,包括更好的性能、更高的效率、高級工作負載的低功耗、需要更少的佔地面積以及預計將進一步推動市場擴張的其他優勢。因此,不斷擴大的全球資料中心網路為 GPU 供應商提供了巨大的機會。例如,思科系統公司預測,到 2021 年,全球雲端資料中心的流量將從2016 年的每年6.0 澤字節(ZB) 增加到每年20.6 澤字節(ZB)。此外,預計2021 年全球將有628個超大規模資料中心,其中與 2016 年的 338 相比。
市場概況 | |
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預測期 | 2024-2028 |
2022 年市場規模 | 425.7億美元 |
2028 年市場規模 | 2349.8億美元 |
2023-2028 年年複合成長率 | 33.02% |
成長最快的細分市場 | 雜交種 |
最大的市場 | 北美洲 |
稱為圖形處理單元的電腦晶片,通常稱為視覺處理單元,用於透過快速執行數學計算來創建圖像。與 CPU 相比,它有數百個核心,可以同時管理數千個執行緒。 CPU 的核心數量較少,快取容量有限,這限制了其同時管理多個執行緒的能力。在插件卡上、主機板晶片組上或與 CPU 相同的晶片上,您都可以找到圖形處理單元。雖然獨立卡中的 GPU 擁有自己的 RAM,但它們與晶片組中的 CPU 共享主記憶體。電晶體在圖形處理單元中用於執行 3D 圖形所需的數學運算。手機、平板電腦、筆記型電腦、醫療穿戴式科技和許多其他攜帶式電子設備都採用 GPU。在超級電腦、虛擬實境和擴增實境系統以及人工智慧平台等應用中,專用 GPU 正在被整合和混合 GPU 取代。
在過去 50 年裡,已經開發了數百萬款遊戲,由於 GPU 技術的發展,它們現在可以實現複雜的實體模擬、複雜的人工智慧和程式創建。從固定功能圖形管道到處理能力高於多核心 CPU 的可程式平行處理器,當代 GPU 經歷了重大演進。即使在最嚴苛的電玩遊戲中,GPU 也能提供出色的視覺性能和品質。互動式 3D 圖形在 20 世紀 90 年代初期幾乎是科幻小說,但到了 20 世紀末,幾乎每台電腦都配備了 GPU,旨在提供高效能、美觀的互動式 3D 體驗。消費者對電子遊戲的強勁需求導致了這一突變。因此,圖形處理單元市場深受不斷發展的視覺遊戲的影響。此外,越來越多的圖形要求較高的電玩遊戲是 GPU 市場擴張的一個重要因素。這些圖形密集型遊戲需要高記憶體顯示卡,因此需要使用圖形處理單元。由於筆記型電腦等攜帶式計算設備的使用增加、基於動畫的電動遊戲的日益普及以及對速度的需求不斷增加等因素,預計該市場將出現良好成長。這些因素正在推動全球圖形處理單元(GPU)市場的發展。
現在可以想像圖形技術的進步以及智慧型手機和消費性電子產品的相關創新,實現完全虛擬或擴增實境並產生引人入勝的使用者體驗。許多企業正在創建 VR 解決方案,目標是從根本上重新定義人們與電腦的互動方式。企業正在為 AR 和 VR 開發技術先進的 GPU 系統,提供完全身臨其境的體驗,這對電腦和電影行業、開發人員和客戶都非常有吸引力。隨著 AR 和 VR 整合到更多應用中,圖形處理單元預計將得到更廣泛的應用。這些因素正在推動市場發展。
整合 GPU 廣泛應用於穿戴式裝置和可攜式電子產品,包括智慧型手機、平板電腦、筆記型電腦、手持遊戲機等。它們結構緊湊,耗電量少,並延長了設備的使用壽命。對於高畫質影像處理和 3D 或 2D 遊戲等應用程式來說,它們是完美的選擇。然而,如果需要密集的圖形運算,整合 GPU 不適合人工智慧、超級電腦、遊戲機以及 VR 和 AR 系統的平台。儘管市場上的主要參與者正在進行研究以促進整合 GPU 的進步並使其相容於高級圖形處理,但整合 GPU 無法支援密集型圖形設計軟體的問題預計將在預測期內解決。
圖形處理單元 (GPU) 市場分為類型、設備、垂直行業和區域。依類型,市場分為專用型、整合型、混合型。依設備,市場分為電腦、平板電腦、智慧型手機、遊戲機、電視等。根據垂直產業,市場分為電子、IT 和電信、國防和情報、媒體和娛樂等。按地區分類,市場進一步分為北美、亞太地區、歐洲、南美、中東和非洲。
全球圖形處理單元(GPU)市場的主要市場參與者包括IBM公司、英特爾公司、NVIDIA公司、三星電子有限公司、高通公司、Advanced Micro Devices公司、達梭系統公司、Google公司.、西門子公司、索尼公司等。
在本報告中,除了以下詳細介紹的產業趨勢外,全球圖形處理單元(GPU)市場也分為以下幾類。
Global graphics processing unit (GPU) market is anticipated to thrive in the forecast period 2023-2028. Due to the rising need for dependable, effective, and quick visual processing for devices like smartphones, wearables, tablets, and game consoles, the GPU market is expanding rapidly.
The GPU market is driven by the demand for improved graphic computing systems for platforms for artificial intelligence (AI), virtual reality (VR), and augmented reality (AR). The industry is growing as a result of the continually improving visual games, growing popularity of augmented reality (AR), and artificial intelligence (AI), which is in vogue, and virtual reality (VR). GPU for AI platforms will undoubtedly become commonplace in the near future, and it can lessen the current problems with breakdown and information loss.
Additionally, as businesses go through a digital transformation and adopt cutting-edge technologies like big data, the cloud, artificial intelligence (AI), and others, they are concentrating on designing data centres around workloads that are anticipated to support DNNs and AI. Companies prefer data centres that can accommodate GPU servers because they offer a number of advantages, including better performance, higher efficiency, low power consumption for advanced workloads, a need for less floor space, and others that are expected to further fuel the market's expansion. As a result, the constantly expanding global network of data centres offers enormous opportunities for GPU suppliers. For instance, Cisco Systems, Inc. predicts that traffic in cloud data centres worldwide would increase to 20.6 Zettabytes (ZB) annually by 2021 from 6.0 Zettabytes annually in 2016. Additionally, it is anticipated that there will be 628 hyperscale datacenters worldwide in 2021 as opposed to 338 in 2016.
Market Overview | |
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Forecast Period | 2024-2028 |
Market Size 2022 | USD 42.57 Billion |
Market Size 2028 | USD 234.98 Billion |
CAGR 2023-2028 | 33.02% |
Fastest Growing Segment | Hybrid |
Largest Market | North America |
A computer chip called a graphics processing unit, often referred to as a visual processing unit, is used to create images by quickly performing mathematical computations. In contrast to CPUs, it has hundreds of cores that can manage thousands of threads at once. The CPU has a small number of cores and limited cache capacity, which restricts its ability to manage several threads at once. On plug-in cards, on a motherboard chipset, or in the same chip as the CPU are where you'll find graphic processing units. While the GPUs found in standalone cards have their own RAM, they share main memory with the CPU in chipsets. Transistors are used in graphics processing units to conduct the mathematical operations necessary for 3D graphics. Mobile phones, tablets, laptops, medical wearable technology, and many other portable electronic devices all employ GPUs. Dedicated GPUs are being replaced by integrated and hybrid GPUs in applications including supercomputers, virtual reality and augmented reality systems, and artificial intelligence platforms.
In the last 50 years, millions of games have been developed, and due to developments in GPU technology, they now enable intricate physical simulations, sophisticated AI, and procedural creation. From a fixed function graphics pipeline to a programmable parallel processor with processing capability greater than multicore CPUs, the contemporary GPU has seen significant evolution. GPUs provide outstanding visual performance and quality in even the most demanding video games. Interactive 3D graphics were almost science fiction in the early 1990s, but by the end of the decade, almost every computer had a GPU designed to deliver a high-performance, aesthetically stunning, interactive 3D experience. The strong demand for video games among consumers led to this abrupt change. As a result, the market for graphics processing units is heavily influenced by the visual games that are continually evolving. Additionally, a growing number of graphically demanding video games is a big factor in the GPU market's expansion. These graphically intensive games demand high memory graphics cards, necessitating the use of graphics processing units. The market is anticipated to expand favourably as a result of factors including the increased use of portable computing devices like laptops, the rising popularity of animation-based video games, and the increasing need for speed. These factors are driving the global graphics processing unit (GPU) market.
Advancements in graphics technology and associated innovations in smart phones and consumer electronics, achieving full virtual or augmented reality and producing an engaging user experience are now conceivable. Numerous businesses are creating VR solutions with the goal of radically redefining how people interact with computers. Technologically sophisticated GPU systems are being developed by businesses for AR and VR, offering a completely immersive experience that is very enticing to the computer and film industries, developers, and customers alike. Graphic processing units are projected to become more widely used as AR and VR are integrated into more applications.These factors are driving the market.
Moreover, deep learning, computer vision, robotics, collaborative systems, machine learning, and the natural learning process are all included in the field of artificial intelligence. Due to its dedication to making computers intelligent and giving them the ability to act correctly with foresight in their environment, AI has made great strides in recent years. Deep Neural Networks (DNNs) must be accelerated by GPUs in order for AI to begin deep learning. Companies are working on a new computing paradigm that accelerates computation with GPUs by using parallel graphics processors. For instance, NVIDIA announced the DRIVE PX 2, a palm-sized, energy-efficient AI computer that runs on the latest system-on-chip GPU from the business, which is based on the NVIDIA Pascal architecture. Thus, it is anticipated that the GPU industry would rise rapidly due to growing AI.
The use of integrated GPUs is widespread in wearables and portable electronics, including smartphones, tablets, laptops, handheld gaming consoles, and many more. They are compact, use less electricity, and lengthen the life of the apparatus. For applications like HD image processing and 3D or 2D gaming, these are perfect. However, if intensive graphic computation is required, integrated GPUs are not appropriate for platforms for artificial intelligence, supercomputers, play stations, and VR & AR systems. The inability of integrated GPUs to support intensive graphic designing software is expected to be overcome during the forecast period, despite the fact that key players in the market are conducting research to facilitate the advancement of integrated GPUs and make them compatible for high graphic processing.
The graphics processing unit (GPU) market is segmented into type, device, industry vertical, and region . Based on type, the market is segmented into dedicated, integrated, hybrid. Based on device, the market is segmented into computer, tablet, smartphone, gaming console, television, others. Based on industry vertical, the market is segmented into electronics, IT & telecommunication, defense & intelligence, media & entertainment, others. Based on region, the market is further bifurcated into North America, Asia-Pacific, Europe, South America, and Middle East & Africa.
Major market players in the global graphics processing unit (GPU) market are IBM Corporation, Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd., Qualcomm Incorporated, Advanced Micro Devices, Inc., Dassault Systems, Inc., Google, Inc., Siemens AG, Sony Corporation, and others.
In this report, the global graphics processing unit (GPU) market has been segmented into the following categories, in addition to the industry trends which have also been detailed below.