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市场调查报告书
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1560046

图形处理单元 (GPU) 市场报告：2030 年趋势、预测与竞争分析

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个工作天内

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简介目录

图形处理单元 (GPU) 趋势与预测

到 2030 年，全球图形处理单元 (GPU) 市场预计将达到 1,106 亿美元，2024 年至 2030 年复合年增长率为 22.5%。该市场的主要驱动力是对高效能运算设备的需求不断增长、物联网 (IoT) 趋势不断增长，以及对 AR、VR 和 AI 等先进技术的需求不断增长。全球图形处理单元 (GPU) 市场的未来前景广阔，电子、IT 和通讯、国防和情报、媒体和娱乐以及汽车市场都蕴藏着机会。

Lucintel 预测，在预测期内，整合装置仍将是最大的细分市场，因为它用于智慧型手机、平板电脑、穿戴式装置和笔记型电脑等可携式电子设备的各种应用。

在这个市场中，由于图形处理器在设计和工程应用中的广泛使用，汽车预计将经历最高的成长。

由于物联网系统的业务成长以及政府对该地区国防和情报部门的高级图形计算系统的大量投资，预计亚太地区在预测期内仍将是最大的地区。

图形处理单元（GPU）市场的新趋势

GPU 市场的新兴趋势正在为运算和图形技术的未来确定节奏。在需要更高效能和新功能的行业中，以下趋势说明了最新应用和技术进步如何改变 GPU 的地位。

  • 人工智慧和机器学习专用GPU 的普及：人工智慧和机器学习专用显示卡的出现将成为主要趋势引领者之一。这种专用图形处理单元进一步提高了平行处理能力，并实现更快的学习和推理。透过这样做，我们相信我们可以进一步推进人工智慧的研究和应用。
  • 游戏 GPU 的成长：随着游戏产业的发展，对更高品质 GPU 的需求不断增加。为了满足游戏玩家对更好游戏体验的需求，创新主要集中在提高图形品质、影格速率和支援虚拟实境技术上。
  • 资料中心扩展：GPU 越来越多地部署在资料中心，用于云端处理和高效能运算应用。庞大的平行任务处理能力大大提高了资料处理和运算效率，从而为云端服务的发展提供了可能。
  • 开发绿色 GPU：在此背景下，功耗和温度控管挑战正在推动对节能 GPU 设计的需求。未来，绿色GPU将有助于降低营运成本并最大限度地减少对环境的影响，实现永续发展的产业目标。
  • 与新技术的互通性：GPU 也被整合到其他即将推出的技术中，例如自动驾驶汽车和智慧型装置。这是因为 GPU 可以以高处理能力即时处理复杂的任务，并且引入了特殊功能来实现这些技术的更高级功能。 GPU的威力可以在其应用领域中进一步扩展。

这些趋势正在推动许多行业的专业化、效能提高和应用扩展的发展。随着新技术的出现，GPU 也不断发展以满足需求。

图形处理单元 (GPU) 市场的最新趋势

近年来，GPU市场的新趋势推动了效能方面的技术进步和应用领域的扩展。这些代表了GPU先前的主导特性和应用领域的变化。

  • AI专用GPU：AI专用GPU的出现，提升了机器学习的处理能力。就此而言，透自订架构组合增加核心数量正在加速AI训练和推理，提高AI应用的效能。
  • 光线定序技术，现代 GPU 将先进的光线定序技术整合到 GPU 中，进一步提高游戏和模拟的图形真实感。这项技术进一步改善了光影效果，创造出出身临其境且视觉正确的体验。
  • GPU 即服务的成长：GPU 即服务描述了对高效能 GPU 的云端存取。 GPU 即服务可为资料处理和人工智慧提供可扩展的运算资源，而无需对硬体进行大量的前期投资。
  • 开发多功能 GPU：这些多功能 GPU 还可以执行各种不同的任务，从游戏、科学计算到其他应用程式。为了满足这些不同的要求，高效能 GPU 现在可用于消费者和企业应用程式。
  • 提高能源效率：新一代 GPU 的设计考虑了能源效率。功耗和温度控管是一些新的关键设计功能。这降低了营运成本和生态影响，同时也满足了永续性目标。

这些新兴市场的开拓显示GPU市场的技术进步和应用需求都在日益发展。技术创新也引领着 GPU 的未来及其在现代运算中的应用。人工智慧、光线定序、能源效率等等。

图形处理单元 (GPU) 市场的策略成长机会

GPU 市场高度异质，各种应用都有成长机会。透过这些机会获得市场领导地位，在动态变化的技术环境中开闢创新的新领域。

  • 人工智慧和机器学习的成长：人工智慧和机器学习领域是一个需求日益增长的领域。为执行人工智慧任务而优化的 GPU 可能会进入资料科学、机器人和自动化系统等领域的市场。
  • 游戏和虚拟实境的成长：游戏和 VR 的成长继续为高效能 GPU 提供成长机会。图形品质、影格速率和 VR 体验方面的创新对游戏玩家和 VR 爱好者来说很有吸引力，从而推动了市场需求。
  • 资料中心解决方案：成长潜力源自于资料中心内 GPU 使用的增加，例如云端运算和 HPC。这使我们能够为这些应用程式提供可扩展且有效的 GPU 解决方案，以满足其不断增长的运算能力需求。
  • 开发节能解决方案：专注于 GPU 能源效率的市场正在开拓。因此，永续性目标可以透过开发减少功耗和热量产生的解决方案来实现，并透过吸引具有环保意识的消费者和企业开拓它们。
  • 与新技术的整合：将 GPU 与自动驾驶汽车和智慧型装置整合也可以在这个市场上开闢更多途径。在这样发展的领域，高阶 GPU 的出现将实现即时处理和高度复杂的模拟，从而在新兴产业和发展中产业中找到更多应用程式。

简而言之，这些新机会代表了人工智慧主导的GPU 市场、游戏、资料中心、能源效率和不断发展的技术等各个领域的成长潜力。如果公司能够利用这些机会，他们将能够很好地增加市场占有率并推动创新。

图形处理单元 (GPU) 市场驱动因素与挑战

GPU 市场有几个巨大的驱动因素和挑战在推动。市场动态和策略是由技术创新、经济趋势和监管考虑决定的。

推动图形处理单元（GPU）市场的因素包括：

1.技术进步：推动市场的关键因素是推动GPU最新创新的技术，例如GPU的AI特定功能的创新、先进的光线定序等。这将推动对高阶 GPU 的需求，因为它们将进一步提高效能并创造新的使用案例。

2.人工智慧和机器学习的需求不断增长：人工智慧和机器学习应用的需求也在不断增长。支援此类应用的需求增加了对高效能 GPU 的需求。专为这些任务设计的 GPU 提供快速处理能力并支援资料科学和自动化的进步。

3.游戏和VR市场的成长：游戏和虚拟实境研究将创造对GPU的需求。这些高市场需求迫使製造商生产高性能 GPU，以实现沉浸式体验和高品质图形。

图形处理单元（GPU）市场挑战如下。

1.製造成本高：製造如此先进的GPU需要研发成本，这可能会影响最终产品在市场上销售的价格并影响其采用。公司需要优化製造成本以增加市场竞争。

2.供应链中断：供应链问题，例如最近的半导体短缺，预计会给GPU晶片製造商带来相当困难的局面。生产时间和供应系统可能会受到干扰，市场动态可能会波动。

3.市场竞争激烈：GPU市场竞争异常激烈。许多参与企业正在争夺市场份额。公司必须继续创新和差异化，以保持竞争优势并应对定价压力。

简而言之，GPU市场的驱动因素和挑战是复杂的，并受到前沿技术进步、产业需求和市场竞争的影响。解决驱动因素并克服挑战是公司在这个不断发展的 GPU 市场中保持竞争力的一些成功因素。

图形处理单元（GPU）细分市场预测

这项研究包括按类型、设备、最终用途和地区对全球图形处理单元 (GPU) 的预测。

按国家/地区分類的图形处理单元 (GPU) 市场前景

近年来，随着技术创新与游戏、人工智慧和资料中心等领域对这些设备的需求不断增长，图形处理单元 (GPU) 市场出现了显着的趋势。主要地区之间的发展差异显示新兴市场如何应对这些发展趋势。

  • 美国：随着人工智慧和机器学习的快速发展，美国对GPU的需求不断增加。主要参与企业正在开发用于资料中心和云端运算的高效能 GPU。透过增加核心和专用硬体的数量来加速深度学习任务，从而提高运算效率的创新推动了市场的成长。
  • 中国：由于游戏和人工智慧应用需求激增，中国GPU市场大幅扩张。本地参与企业在该领域与国际参与企业竞争时取得了技术进步。政府在高运算基础设施领域的倡议吸引了对高效能 GPU 的投资，目的是增加国内产能并减少对外国技术的依赖。
  • 德国：德国的成长得益于汽车和工业自动化领域的新发展。德国多家公司都参与开发采用 GPU 并将其整合到智慧製造流程中的自动驾驶系统。为了满足这些高科技应用的需求，人们不断进行新的创新，使 GPU 能够更有效地处理大量资料。
  • 印度：游戏和人工智慧应用需求的不断增长正在推动印度 GPU 市场的成长。高科技新兴企业和电子游戏公司的崛起也推动了对高阶 GPU 的需求不断增长。国内外参与企业正加大研发投入，开发更高效能的GPU解决方案，满足快速成长的高效能运算解决方案市场。
  • 日本：日本的 GPU 市场似乎表现相当不错，机器人和电子产品是主要目标。日本公司正在设计具有更强平行处理能力的新型 GPU，以支援进阶模拟和基于机器人的应用程式的即时处理。创新和与新兴技术的整合正在推动该领域的成长。

常问问题

Q1.市场规模有多大？

答：到 2030 年，全球图形处理单元 (GPU) 市场预计将达到 1,106 亿美元。

Q2.市场成长预测如何？

答：2024年至2030年，全球图形处理单元（GPU）市场预计将以22.5%的复合年增长率成长。

Q3.影响市场成长的关键驱动因素有哪些？

答：该市场的主要驱动力是对高效能运算设备的需求不断增长、物联网 (IoT) 趋势不断增长，以及对 AR、VR 和 AI 等先进技术的需求不断增长。

Q4.市场的主要细分市场是什么？

答：图形处理单元 (GPU) 市场的未来充满希望，电子、IT 和通讯、国防和情报、媒体和娱乐以及汽车市场都充满机会。

Q5.市场上主要企业有哪些？

答：主要企业是：

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

Q6.未来最大的细分市场是什么？

答：Lucintel 预测，在预测期内，整合装置仍将是最大的细分市场，因为它用于智慧型手机、平板电脑、穿戴式装置和笔记型电脑等可携式电子设备的各种应用。

Q7. 未来五年预计哪个地区的市场最大？

答：由于物联网系统业务不断成长，以及该地区国防和情报部门对高图形运算系统的大规模投资，亚太地区将在预测期内持续成长。

Q8. 可以客製化报告吗？

答：是的，Lucintel 列出了 10% 的客製化服务，无需额外费用。

目录

第一章执行摘要

第二章全球图形处理单元（GPU）市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球图形处理单元（GPU）市场趋势（2018-2023）与预测（2024-2030）
  • 按类型分類的全球图形处理单元 (GPU) 市场
    • 专用型
    • 融合的
    • 混合
  • 按装置分類的全球图形处理单元 (GPU) 市场
    • 电脑
    • 药片
    • 智慧型手机
    • 游戏机
    • 电视机
    • 其他的
  • 按最终用途分類的全球图形处理单元 (GPU) 市场
    • 电子产品
    • 资讯科技和通讯
    • 国防和情报
    • 媒体和娱乐
    • 车
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 按地区分類的全球图形处理单元 (GPU) 市场
  • 北美图形处理单元（GPU）市场
  • 欧洲图形处理单元（GPU）市场
  • 亚太地区图形处理单元 (GPU) 市场
  • 其他地区图形处理单元（GPU）市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 按类型分類的全球图形处理单元 (GPU) 市场成长机会
    • 按设备分類的全球图形处理单元 (GPU) 市场成长机会
    • 按最终用途分類的全球图形处理单元 (GPU) 市场成长机会
    • 按地区分類的全球图形处理单元 (GPU) 市场成长机会
  • 全球图形处理单元（GPU）市场新趋势
  • 战略分析
    • 新产品开发
    • 全球图形处理单元（GPU）市场产能扩张
    • 全球图形处理单元（GPU）市场的合併、收购和合资企业
    • 认证和许可

第七章主要企业概况

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

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