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市場調查報告書
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1560046

圖形處理單元 (GPU) 市場報告：2030 年趨勢、預測與競爭分析

Graphics Processing Unit (GPU) Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

圖形處理單元 (GPU) 趨勢與預測

到 2030 年，全球圖形處理單元 (GPU) 市場預計將達到 1,106 億美元，2024 年至 2030 年複合年成長率為 22.5%。該市場的主要驅動力是對高效能運算設備的需求不斷成長、物聯網 (IoT) 趨勢不斷成長，以及對 AR、VR 和 AI 等先進技術的需求不斷成長。全球圖形處理單元 (GPU) 市場的未來前景廣闊，電子、IT 和通訊、國防和情報、媒體和娛樂以及汽車市場都蘊藏著機會。

Lucintel 預測，在預測期內，整合裝置仍將是最大的細分市場，因為它用於智慧型手機、平板電腦、穿戴式裝置和筆記型電腦等可攜式電子設備的各種應用。

在這個市場中，由於圖形處理器在設計和工程應用中的廣泛使用，汽車預計將經歷最高的成長。

由於物聯網系統的業務成長以及政府對該地區國防和情報部門的高級圖形計算系統的大量投資，預計亞太地區在預測期內仍將是最大的地區。

圖形處理單元（GPU）市場的新趨勢

GPU 市場的新興趨勢正在為運算和圖形技術的未來確定節奏。在需要更高效能和新功能的行業中，以下趨勢說明了最新應用和技術進步如何改變 GPU 的地位。

  • 人工智慧和機器學習專用GPU 的普及：人工智慧和機器學習專用顯示卡的出現將成為主要趨勢引領者之一。這種專用圖形處理單元進一步提高了平行處理能力，並實現更快的學習和推理。透過這樣做，我們相信我們可以進一步推進人工智慧的研究和應用。
  • 遊戲 GPU 的成長：隨著遊戲產業的發展，對更高品質 GPU 的需求不斷增加。為了滿足遊戲玩家對更好遊戲體驗的需求，創新主要集中在提高圖形品質、影格速率和支援虛擬實境技術上。
  • 資料中心擴展：GPU 擴大部署在資料中心，用於雲端處理和高效能運算應用。龐大的平行任務處理能力大大提高了資料處理和運算效率，從而為雲端服務的發展提供了可能。
  • 開發綠色 GPU：在此背景下，功耗和溫度控管挑戰正在推動對節能 GPU 設計的需求。未來，綠色GPU將有助於降低營運成本並最大限度地減少對環境的影響，實現永續發展的產業目標。
  • 與新技術的互通性：GPU 也被整合到其他即將推出的技術中，例如自動駕駛汽車和智慧型裝置。這是因為 GPU 可以以高處理能力即時處理複雜的任務，並且引入了特殊功能來實現這些技術的更高級功能。 GPU的威力可以在其應用領域中進一步擴展。

這些趨勢正在推動許多行業的專業化、效能提高和應用擴展的發展。隨著新技術的出現，GPU 也不斷發展以滿足需求。

圖形處理單元 (GPU) 市場的最新趨勢

近年來，GPU市場的新趨勢推動了效能方面的技術進步和應用領域的擴展。這些代表了GPU先前的主導特性和應用領域的變化。

  • AI專用GPU：AI專用GPU的出現，提升了機器學習的處理能力。就此而言，透自訂架構組合增加核心數量正在加速AI訓練和推理，提高AI應用的效能。
  • 光線定序技術，現代 GPU 將先進的光線定序技術整合到 GPU 中，進一步提高遊戲和模擬的圖形真實感。這項技術進一步改善了光影效果，創造出出身臨其境且視覺正確的體驗。
  • GPU 即服務的成長：GPU 即服務描述了對高效能 GPU 的雲端存取。 GPU 即服務可為資料處理和人工智慧提供可擴展的運算資源，而無需對硬體進行大量的前期投資。
  • 開發多功能 GPU：這些多功能 GPU 還可以執行各種不同的任務，從遊戲、科學計算到其他應用程式。為了滿足這些不同的要求，高效能 GPU 現在可用於消費者和企業應用程式。
  • 提高能源效率：新一代 GPU 的設計考慮了能源效率。功耗和溫度控管是一些新的關鍵設計功能。這降低了營運成本和生態影響，同時也滿足了永續性目標。

這些新興市場的開拓顯示GPU市場的技術進步和應用需求都在日益發展。技術創新也引領著 GPU 的未來及其在現代運算中的應用。人工智慧、光線定序、能源效率等等。

圖形處理單元 (GPU) 市場的策略成長機會

GPU 市場高度異質，各種應用都有成長機會。透過這些機會獲得市場領導地位，在動態變化的技術環境中開闢創新的新領域。

  • 人工智慧和機器學習的成長：人工智慧和機器學習領域是一個需求日益成長的領域。為執行人工智慧任務而最佳化的 GPU 可能會進入資料科學、機器人和自動化系統等領域的市場。
  • 遊戲和虛擬實境的成長：遊戲和 VR 的成長繼續為高效能 GPU 提供成長機會。圖形品質、影格速率和 VR 體驗方面的創新對遊戲玩家和 VR 愛好者來說很有吸引力，從而推動了市場需求。
  • 資料中心解決方案：成長潛力源自於資料中心內 GPU 使用的增加，例如雲端運算和 HPC。這使我們能夠為這些應用程式提供可擴展且有效的 GPU 解決方案，以滿足其不斷成長的運算能力需求。
  • 開發節能解決方案：專注於 GPU 能源效率的市場正在開拓。因此，永續性目標可以透過開發減少功耗和熱量產生的解決方案來實現，並透過吸引具有環保意識的消費者和企業開拓它們。
  • 與新技術的整合：將 GPU 與自動駕駛汽車和智慧型裝置整合也可以在這個市場上開闢更多途徑。在這樣發展的領域，高階 GPU 的出現將實現即時處理和高度複雜的模擬，從而在新興產業和發展中產業中找到更多應用程式。

簡而言之，這些新機會代表了人工智慧主導的GPU 市場、遊戲、資料中心、能源效率和不斷發展的技術等各個領域的成長潛力。如果公司能夠利用這些機會，他們將能夠很好地增加市場佔有率並推動創新。

圖形處理單元 (GPU) 市場促進因素與挑戰

GPU 市場有幾個巨大的促進因素和挑戰在推動。市場動態和策略是由技術創新、經濟趨勢和監管考慮決定的。

推動圖形處理單元（GPU）市場的因素包括：

1.技術進步：推動市場的關鍵因素是推動GPU最新創新的技術，例如GPU的AI特定功能的創新、先進的光線定序等。這將推動對高階 GPU 的需求，因為它們將進一步提高效能並創造新的使用案例。

2.人工智慧和機器學習的需求不斷成長：人工智慧和機器學習應用的需求也在不斷成長。支援此類應用的需求增加了對高效能 GPU 的需求。專為這些任務設計的 GPU 提供快速處理能力並支援資料科學和自動化的進步。

3.遊戲和VR市場的成長：遊戲和虛擬實境研究將創造對GPU的需求。這些高市場需求迫使製造商生產高性能 GPU，以實現沉浸式體驗和高品質圖形。

圖形處理單元（GPU）市場挑戰如下。

1.製造成本高：製造如此先進的GPU需要研發成本，這可能會影響最終產品在市場上銷售的價格並影響其採用。公司需要最佳化製造成本以增加市場競爭。

2.供應鏈中斷：供應鏈問題，例如最近的半導體短缺，預計會給GPU晶片製造商帶來相當困難的局面。生產時間和供應系統可能會受到干擾，市場動態可能會波動。

3.市場競爭激烈：GPU市場競爭異常激烈。許多參與企業正在爭奪市場佔有率。公司必須繼續創新和差異化，以保持競爭優勢並應對定價壓力。

簡而言之，GPU市場的促進因素和挑戰是複雜的，並受到前沿技術進步、產業需求和市場競爭的影響。解決促進因素並克服挑戰是公司在這個不斷發展的 GPU 市場中保持競爭力的一些成功因素。

圖形處理單元（GPU）細分市場預測

這項研究包括按類型、設備、最終用途和地區對全球圖形處理單元 (GPU) 的預測。

按國家/地區分類的圖形處理單元 (GPU) 市場前景

近年來，隨著技術創新與遊戲、人工智慧和資料中心等領域對這些設備的需求不斷成長，圖形處理單元 (GPU) 市場出現了顯著的趨勢。主要地區之間的發展差異顯示新興市場如何應對這些發展趨勢。

  • 美國：隨著人工智慧和機器學習的快速發展，美國對GPU的需求不斷增加。主要參與企業正在開發用於資料中心和雲端運算的高效能 GPU。透過增加核心和專用硬體的數量來加速深度學習任務，從而提高運算效率的創新推動了市場的成長。
  • 中國：由於遊戲和人工智慧應用需求激增，中國GPU市場大幅擴張。本地參與企業在該領域與國際參與企業競爭時取得了技術進步。政府在高運算基礎設施領域的舉措吸引了對高效能 GPU 的投資，目的是增加國內產能並減少對外國技術的依賴。
  • 德國：德國的成長得益於汽車和工業自動化領域的新發展。德國多家公司都參與開發採用 GPU 並將其整合到智慧製造流程中的自動駕駛系統。為了滿足這些高科技應用的需求，人們不斷進行新的創新，使 GPU 能夠更有效地處理大量資料。
  • 印度：遊戲和人工智慧應用需求的不斷成長正在推動印度 GPU 市場的成長。高科技新興企業和電子遊戲公司的崛起也推動了對高階 GPU 的需求不斷成長。國內外參與企業正加大研發投入，開發更高效能的GPU解決方案，滿足快速成長的高效能運算解決方案市場。
  • 日本：日本的 GPU 市場似乎表現相當不錯，機器人和電子產品是主要目標。日本公司正在設計具有更強平行處理能力的新型 GPU，以支援進階模擬和基於機器人的應用程式的即時處理。創新和與新興技術的整合正在推動該領域的成長。

常問問題

Q1.市場規模有多大？

答：到 2030 年，全球圖形處理單元 (GPU) 市場預計將達到 1,106 億美元。

Q2.市場成長預測如何？

答：2024年至2030年，全球圖形處理單元（GPU）市場預計將以22.5%的複合年成長率成長。

Q3.影響市場成長的關鍵促進因素有哪些？

答：該市場的主要驅動力是對高效能運算設備的需求不斷成長、物聯網 (IoT) 趨勢不斷成長，以及對 AR、VR 和 AI 等先進技術的需求不斷成長。

Q4.市場的主要細分市場是什麼？

答：圖形處理單元 (GPU) 市場的未來充滿希望，電子、IT 和通訊、國防和情報、媒體和娛樂以及汽車市場都充滿機會。

Q5.市場上主要企業有哪些？

答：主要企業是：

  • IBM
  • Intel
  • NVIDIA
  • Samsung Electronics
  • Qualcomm
  • Advanced Micro Devices
  • Dassault Systems
  • Google
  • Siemens
  • Sony

Q6.未來最大的細分市場是什麼？

答：Lucintel 預測，在預測期內，整合裝置仍將是最大的細分市場，因為它用於智慧型手機、平板電腦、穿戴式裝置和筆記型電腦等可攜式電子設備的各種應用。

Q7. 未來五年預計哪個地區的市場最大？

答：由於物聯網系統業務不斷成長，以及該地區國防和情報部門對高圖形運算系統的大規模投資，亞太地區將在預測期內持續成長。

Q8. 可以客製化報告嗎？

答：是的，Lucintel 列出了 10% 的客製化服務，無需額外費用。

目錄

第1章執行摘要

第2章全球圖形處理單元（GPU）市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球圖形處理單元（GPU）市場趨勢（2018-2023）與預測（2024-2030）
  • 按類型分類的全球圖形處理單元 (GPU) 市場
    • 專用型
    • 融合的
    • 混合
  • 按裝置分類的全球圖形處理單元 (GPU) 市場
    • 電腦
    • 藥片
    • 智慧型手機
    • 遊戲機
    • 電視機
    • 其他
  • 按最終用途分類的全球圖形處理單元 (GPU) 市場
    • 電子產品
    • 資訊科技和通訊
    • 國防和情報
    • 媒體和娛樂
    • 車
    • 其他

第4章 2018-2030年區域市場趨勢及預測分析

  • 按地區分類的全球圖形處理單元 (GPU) 市場
  • 北美圖形處理單元（GPU）市場
  • 歐洲圖形處理單元（GPU）市場
  • 亞太地區圖形處理單元 (GPU) 市場
  • 其他地區圖形處理單元（GPU）市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 按類型分類的全球圖形處理單元 (GPU) 市場成長機會
    • 按設備分類的全球圖形處理單元 (GPU) 市場成長機會
    • 按最終用途分類的全球圖形處理單元 (GPU) 市場成長機會
    • 按地區分類的全球圖形處理單元 (GPU) 市場成長機會
  • 全球圖形處理單元（GPU）市場新趨勢
  • 戰略分析
    • 新產品開發
    • 全球圖形處理單元（GPU）市場產能擴張
    • 全球圖形處理單元（GPU）市場的合併、收購和合資企業
    • 認證和許可

第7章主要企業概況

  • IBM
  • Intel
  • NVIDIA
  • Samsung Electronics
  • Qualcomm
  • Advanced Micro Devices
  • Dassault Systems
  • Google
  • Siemens
  • Sony
簡介目錄

Graphics Processing Unit (GPU) Trends and Forecast

The future of the global graphics processing unit (GPU) market looks promising with opportunities in the electronic, IT & telecommunication, defense & intelligence, media & entertainment, and automotive markets. The global graphics processing unit (GPU) market is expected to reach an estimated $110.6 billion by 2030 with a CAGR of 22.5% from 2024 to 2030. The major drivers for this market are increasing demand for high-performance computing devices, growing trend of internet of things (IoT), and rising demand for advanced technologies like AR, VR, and AI.

Lucintel forecasts that integrated will remain the largest segment over the forecast period due to its usage in variety of applications in portable electronic devices, such as smartphones, tablets, wearables, and laptops.

Within this market, automotive is expected to witness the highest growth due to the widespread use of graphics processors in design and engineering applications.

APAC will remain the largest region over the forecast period due to the growing business of IOT systems and massive government investment in high graphic computing systems for the defense and intelligence sectors in the region.

Emerging Trends in the Graphics Processing Unit (GPU) Market

The up-and-coming trends within the GPU marketplace are setting the future's tempo as far as computational and graphics technology is concerned. With industries that require higher performance and newfound capabilities, the following trends show the changing face of modern applications and technological advancement concerning the place of GPUs.

  • Broader Prevalence of AI and Machine Learning-Dedicated GPUs: The presence of specialized AI and machine learning video cards is going to be one of the main trendsetters. Such specialized graphics processing units will be developed with even greater power for parallel processing, enabling speedier training and inference. In this way, they will further nudge AI research and application ahead.
  • Growth in Gaming GPUs: The demand for higher-quality GPUs keeps increasing with the growth in the gaming industry. Innovations are being channeled to improving graphics quality, frame rates, and support for virtual reality technologies in line with demands from gamers desiring better experiences in gaming.
  • Data Center Expansion: GPUs have increasingly been deployed in data centers for cloud computing and High-Performance Computing applications. With greatly improved data processing and computational efficiency thanks to huge parallel task processing capability, the development of cloud services is enabled accordingly.
  • Development of Green GPU: Against this background, power consumption and thermal management challenges have aroused higher demands for energy-efficient GPU design. In the future, green GPU will contribute to reducing operational costs and minimizing environmental impacts, and thus fit into the industry's goal of sustainable development.
  • Interoperability with Emerging Technologies: GPUs are incorporated into other upcoming technologies such as autonomous cars and smart devices. This is because, on account of the ability of GPUs to process complex tasks in real time with great processing power, special features have been introduced through which more advanced capabilities of those technologies unfold. The capability of GPUs can be stretched further in their area of application.

These trends are driving the development of specialization, performance enhancement, and application expansion in a host of industries. With the emergence of new technologies, the GPU is also evolving to keep up with the demands for emerging technologies.

Recent Developments in the Graphics Processing Unit (GPU) Market

In the last few years, newer trends in the GPU market have been driving technological improvements on aspects like performance and expanded application areas. These illustrate the shift in the characteristics that have dominated so far and the realm of applications of the GPUs.

  • AI-Specific GPUs: Specific GPUs for AI have emerged with better processing capability in machine learning. Higher core count in the combination of custom architecture, in this respect, has accelerated AI training and inference, thereby enhancing performance in AI applications.
  • Ray Tracing Technology; Recent GPUs have integrated advanced ray tracing technology into their GPUs, further improving the graphical realism of games and simulations. This is farther improved by this technology, which enhances the production of light and shadow to create an immersive and visually correct experience.
  • Growth in GPU-as-a-Service: GPU-as-a-Service gives cloud access to high-performance GPUs. It is a development that allows scalable computing resources for data processing and AI without necessarily making huge upfront investments in hardware.
  • Development of Multi-Function GPUs: These multi-functional GPUs can also be engaged in different diversified duties, from games and scientific computations to other applications. Given these varied requirements, high-performance GPUs are also made available-from consumer to enterprise applications.
  • Improved Energy Efficiency: New generation GPUs have been designed with energy efficiency in mind. Power consumption and heat management are some of the new important design features. It reduces operational cost and ecological impact, and hence it also meets the goals of sustainability.

These developments mark the growing evolution of both the technological advancements and the application requirements for the GPU market. Innovations are also leading the way toward future GPUs and their use in modern computing: AI, ray tracing, and energy efficiency.

Strategic Growth Opportunities for Graphics Processing Unit (GPU) Market

The GPU market is highly heterogeneous, presenting several opportunities for growth across various applications. Driving the marketplace with such opportunities opens new frontiers of innovation within the dynamically changing technology environment.

  • AI and Machine Learning Growth: The field of AI and machine learning is a field that is increasingly in demand. GPUs optimized to perform in AI tasks can make a strong appearance in the marketplace within fields like data science, robotics, and automated systems.
  • Gaming and Virtual Reality Growth: The growth in gaming and VR is a sequence of opportunities for high-performance GPUs. Innovation in graphics quality, frame rate, and in-VR experiences will be attractive to gamers and VR enthusiasts, which helps drive demand in the marketplace.
  • Data Center Solutions: The potential for growth arises due to the increasing use of GPUs within data centers, either for cloud computing or HPC. Therefore, scalable and effective GPU solutions can be availed to these applications in order to meet the expanding computational power demand.
  • Development of Energy-Efficient Solutions: A market is developing that is looking toward energy efficiency in GPUs. Because of this fact, the reduction of power consumption and heat generation can be developed into a solution and marketed to appeal to environment-conscious consumers and enterprises in order to meet their sustainability goals.
  • Integration with Emerging Technologies: Integration of GPUs with autonomous vehicles and smart devices could also create more avenues in this market. In the case of these developing sectors, emerging high-end GPUs can enable real-time processing and highly complex simulations, hence finding more use in new and evolving industries.

These emerging opportunities, in essence, represent the growth potential of various segments within the AI-driven GPU market, gaming, data centers, power efficiency, and evolving technologies. The ability of companies to capitalize on these opportunities will place them in an advantageous position regarding increasing their marketplace share and driving innovation.

Graphics Processing Unit (GPU) Market Driver and Challenges

Some mega drivers and challenges have driven the GPU market. Market dynamics and strategies are shaped by technological innovations, economic trends, and regulatory considerations.

The factors responsible for driving the graphics processing unit (GPU) market include:

1. Technological Advances: The major factors driving the market are innovations in AI-specific features of GPUs, advanced ray tracing, among other technologies driving these latest innovations in GPU. This will further improve performance and unlock new use cases, which drives demand for high-end GPUs.

2. Growing Demand for AI and Machine Learning: The demand for AI and machine learning applications is also increasing. High-performance GPU demand increases due to the need to support such applications. GPUs designed for these tasks offer accelerated processing power, supporting advancements in data science and automation.

3. Growth of Gaming and VR Markets: The gaming and virtual reality studies place demands on the GPU. These high demands from the market compel manufacturers to produce high-performance GPUs, enabling the study to create immersive experiences and high-quality graphics; hence, it expands the market.

Challenges in the graphics processing unit (GPU) market are:

1. High Production Costs: Manufacturing such advanced GPUs involves costly research and development, which might affect the price of the final product sold in the market, hence affecting their adoption. Companies need to optimize their production costs for better market competitiveness.

2. Supply Chain Disruptions: Supply chain problems, as exemplified by the recent semiconductor shortage, will make the going somewhat tough for the manufacturers of these GPU chips. It can disrupt production timing and availability, hence fluctuating the market dynamics.

3. Fierce Market Competition: The market for a GPU is immensely competitive. There are too many players vying for shares in the market. The companies have to keep innovating and differentiating their offerings to maintain competitive advantage and address price pressures.

In a nutshell, drivers and challenges in the GPU market are complex and influenced by frontiers of technological advances, industrial demands, and market competitiveness. Addressing the drivers and overcoming the challenges stands out as part of the success ingredients for companies remaining competitive in this evolving GPU market.

List of Graphics Processing Unit (GPU) Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies graphics processing unit (GPU) companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the graphics processing unit (GPU) companies profiled in this report include-

  • IBM
  • Intel
  • NVIDIA
  • Samsung Electronics
  • Qualcomm
  • Advanced Micro Devices
  • Dassault Systems
  • Google
  • Siemens
  • Sony

Graphics Processing Unit (GPU) by Segment

The study includes a forecast for the global graphics processing unit (GPU) by type, device, end use, and region.

Graphics Processing Unit (GPU) Market by Type [Analysis by Value from 2018 to 2030]:

  • Dedicated
  • Integrated
  • Hybrid

Graphics Processing Unit (GPU) Market by Device [Analysis by Value from 2018 to 2030]:

  • Computers
  • Tablets
  • Smartphones
  • Gaming Consoles
  • Televisions
  • Others

Graphics Processing Unit (GPU) Market by End Use [Analysis by Value from 2018 to 2030]:

  • Electronics
  • IT & Telecommunication
  • Defense & Intelligence
  • Media & Entertainment
  • Automotive
  • Others

Graphics Processing Unit (GPU) Market by Region [Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

Country Wise Outlook for the Graphics Processing Unit (GPU) Market

The graphics processing unit market has recently seen significant development because of technological innovations matched by increased demand for these gadgets from sectors such as gaming, AI, and data centers. The key regional disparities in development show the varied manner in which different markets respond to these development trends.

  • United States: With rapid developments in AI and machine learning, the U.S. has increased GPU demand. Key players develop high-performance GPUs targeting data centers and cloud computing. Innovation to create efficiency in computations by increasing the number of cores and dedicated hardware to accelerate deep learning tasks spurs the growth of the market.
  • China: The surging demand for gaming and AI applications has extended China's GPU market to a great extent. The technologies are getting advanced from the local players, competing with international players in this field. The government's initiative in the field of high computing infrastructure drew investments in high-performance GPUs with a motive to boost the domestic capabilities and reduce dependency on foreign technology.
  • Germany: The growth of Germany is supported by the new developments of automotive and industrial automation. Different German companies are involved in the development of autonomous driving systems that incorporate GPUs and integrate them into smart manufacturing processes. The new innovations are done to enable this GPU to handle huge data processing capability with more efficiency according to the demand of such high-tech applications.
  • India: The growing demand for gaming and AI applications is driving the growth of the GPU market in India. Also, rising tech startups and companies embracing electronic gaming contribute to increasing demand for higher-end GPUs. Local and global players are deeply investing in R&D to come up with better-performance GPU solutions and to cater to the booming market of high-performance computing solutions.
  • Japan: It is seen that the GPU market in Japan remains considerably strong, with the main focus on robotics and electronics. Japanese companies are designing new GPUs that have better parallel processing capabilities to aid in sophisticated simulations and real-time processing of robotics-based applications. Innovation and integration with emerging technologies are driving growth in this sector.

Features of the Global Graphics Processing Unit (GPU) Market

Market Size Estimates: Graphics processing unit (GPU) market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Graphics processing unit (GPU) market size by type, device, end use, and region in terms of value ($B).

Regional Analysis: Graphics processing unit (GPU) market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, devices, end uses, and regions for the graphics processing unit (GPU) market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the graphics processing unit (GPU) market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

FAQ

Q1. What is the graphics processing unit (GPU) market size?

Answer: The global graphics processing unit (GPU) market is expected to reach an estimated $110.6 billion by 2030.

Q2. What is the growth forecast for graphics processing unit (GPU) market?

Answer: The global graphics processing unit (GPU) market is expected to grow with a CAGR of 22.5% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the graphics processing unit (GPU) market?

Answer: The major drivers for this market are increasing demand for high-performance computing devices, growing trend of internet of things (IoT), and rising demand for advanced technologies like AR, VR, and AI.

Q4. What are the major segments for graphics processing unit (GPU) market?

Answer: The future of the graphics processing unit (GPU) market looks promising with opportunities in the electronic, IT & telecommunication, defense & intelligence, media & entertainment, and automotive markets.

Q5. Who are the key graphics processing unit (GPU) market companies?

Answer: Some of the key graphics processing unit (GPU) companies are as follows:

  • IBM
  • Intel
  • NVIDIA
  • Samsung Electronics
  • Qualcomm
  • Advanced Micro Devices
  • Dassault Systems
  • Google
  • Siemens
  • Sony

Q6. Which graphics processing unit (GPU) market segment will be the largest in future?

Answer: Lucintel forecasts that integrated will remain the largest segment over the forecast period due to its usage in variety of applications in portable electronic devices, such as smartphones, tablets, wearables, and laptops.

Q7. In graphics processing unit (GPU) market, which region is expected to be the largest in next 5 years?

Answer: APAC will remain the largest region over the forecast period due to the growing business of IOT systems and massive government investment in high graphic computing systems for the defense and intelligence sectors in the region.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the graphics processing unit (GPU) market by type (dedicated, integrated, and hybrid), device (computer, tablet, smartphone, gaming console, television, and others), end use (electronics, IT & telecommunication, defense & intelligence, media & entertainment, automotive, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
  • Market Report

Table of Contents

1. Executive Summary

2. Global Graphics Processing Unit (GPU) Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Graphics Processing Unit (GPU) Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Graphics Processing Unit (GPU) Market by Type
    • 3.3.1: Dedicated
    • 3.3.2: Integrated
    • 3.3.3: Hybrid
  • 3.4: Global Graphics Processing Unit (GPU) Market by Device
    • 3.4.1: Computers
    • 3.4.2: Tablets
    • 3.4.3: Smartphones
    • 3.4.4: Gaming Consoles
    • 3.4.5: Televisions
    • 3.4.6: Others
  • 3.5: Global Graphics Processing Unit (GPU) Market by End Use
    • 3.5.1: Electronics
    • 3.5.2: IT & Telecommunication
    • 3.5.3: Defense & Intelligence
    • 3.5.4: Media & Entertainment
    • 3.5.5: Automotive
    • 3.5.6: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Graphics Processing Unit (GPU) Market by Region
  • 4.2: North American Graphics Processing Unit (GPU) Market
    • 4.2.1: North American Graphics Processing Unit (GPU) Market by Type: Dedicated, Integrated, and Hybrid
    • 4.2.2: North American Graphics Processing Unit (GPU) Market by End Use: Electronics, IT & Telecommunication, Defense & Intelligence, Media & Entertainment, Automotive, and Others
  • 4.3: European Graphics Processing Unit (GPU) Market
    • 4.3.1: European Graphics Processing Unit (GPU) Market by Type: Dedicated, Integrated, and Hybrid
    • 4.3.2: European Graphics Processing Unit (GPU) Market by End Use: Electronics, IT & Telecommunication, Defense & Intelligence, Media & Entertainment, Automotive, and Others
  • 4.4: APAC Graphics Processing Unit (GPU) Market
    • 4.4.1: APAC Graphics Processing Unit (GPU) Market by Type: Dedicated, Integrated, and Hybrid
    • 4.4.2: APAC Graphics Processing Unit (GPU) Market by End Use: Electronics, IT & Telecommunication, Defense & Intelligence, Media & Entertainment, Automotive, and Others
  • 4.5: ROW Graphics Processing Unit (GPU) Market
    • 4.5.1: ROW Graphics Processing Unit (GPU) Market by Type: Dedicated, Integrated, and Hybrid
    • 4.5.2: ROW Graphics Processing Unit (GPU) Market by End Use: Electronics, IT & Telecommunication, Defense & Intelligence, Media & Entertainment, Automotive, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Graphics Processing Unit (GPU) Market by Type
    • 6.1.2: Growth Opportunities for the Global Graphics Processing Unit (GPU) Market by Device
    • 6.1.3: Growth Opportunities for the Global Graphics Processing Unit (GPU) Market by End Use
    • 6.1.4: Growth Opportunities for the Global Graphics Processing Unit (GPU) Market by Region
  • 6.2: Emerging Trends in the Global Graphics Processing Unit (GPU) Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Graphics Processing Unit (GPU) Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Graphics Processing Unit (GPU) Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: IBM
  • 7.2: Intel
  • 7.3: NVIDIA
  • 7.4: Samsung Electronics
  • 7.5: Qualcomm
  • 7.6: Advanced Micro Devices
  • 7.7: Dassault Systems
  • 7.8: Google
  • 7.9: Siemens
  • 7.10: Sony