![]() |
市场调查报告书
商品编码
1898459
显示卡市场规模、份额和成长分析(按类型、连接方式、介面、散热方式、记忆体类型、应用和地区划分)—产业预测(2026-2033 年)Graphics Card Market Size, Share, and Growth Analysis, By Type (Dedicated Graphic Cards, Integrated Graphic Cards), By Connectivity, By Interface, By Cooling Type, By Memory Type, By Application, By Region - Industry Forecast 2026-2033 |
||||||
预计到 2024 年,显示卡市场规模将达到 561.7 亿美元,到 2025 年将成长至 745.9 亿美元,到 2033 年将成长至 7,215.8 亿美元,在预测期(2026-2033 年)内,复合年增长率为 32.8%。
显示卡市场正经历强劲成长,这主要得益于多个领域(尤其是游戏产业)需求的不断增长。电玩游戏的普及、电子竞技的兴起以及虚拟实境(VR)技术的蓬勃发展,都推动了对高效能显示卡的需求,以提供惊艳的视觉效果和流畅的游戏体验。此外,人工智慧(AI)、机器学习和自动驾驶等领域对GPU的广泛应用也显着促进了市场扩张,因为这些技术需要强大的处理能力来进行复杂的运算。同时,医疗成像和分析领域的应用、汽车和航太产业的模拟需求以及加密货币挖矿也进一步推动了对高性能显示卡的需求。即时定序和人工智慧等新技术正在提升产品的吸引力,并预示着图形技术的持续发展。
显示卡市场按类型、连接方式、介面、散热方式、显存类型、应用领域和地区进行细分。按类型划分,显示卡分为独立显示卡和整合式显示卡。依连线方式划分,显示卡分为 PCIe 卡和外置显示卡。依介面划分,显示卡分为 PCI Express 4.0 和 PCI Express 5.0。依散热方式划分,显示卡分为风冷和水冷。依显存类型划分,显示卡分为 GDDR6、GDDR6X、HBM2 和 HBM3。依应用领域划分,显示卡分为游戏、资料中心和专业视觉化。按地区划分,显示卡分为北美、欧洲、亚太、拉丁美洲以及中东和非洲。
显示卡市场驱动因素
推动显示卡市场发展的关键因素之一是游戏领域需求的激增。随着游戏环境的不断发展,参与企业对沉浸式体验和惊艳的视觉效果的需求日益增长。这种不断增长的需求催生了高效能显示卡,以应对现代游戏中常见的复杂渲染和处理任务。对逼真画面、高影格速率和流畅游戏体验的追求,促使製造商不断创新并改进其GPU产品。由于玩家对更佳画面、更强效能的需求持续高涨,对尖端GPU的需求依然强劲,进一步推动了显示卡市场的成长。
显示卡市场限制
显示卡市场面临的主要限制因素之一是半导体晶片的持续短缺。这种供不应求严重扰乱了供应链,影响了包括显示卡在内的各种电子设备的生产。造成这种短缺的因素包括供应链问题和阻碍半导体产业的地缘政治紧张局势。因此,市场上显示卡供应有限且价格上涨,对消费者和系统组装商都带来了许多不便。这种限制不仅影响个人购买决策,也阻碍了整个显示卡市场的成长与发展。
显示卡市场趋势
显示卡市场正经历高效能GPU需求的激增,这主要得益于人工智慧(AI)和机器学习(ML)技术的进步。随着各产业对这些变革性应用的依赖日益加深,GPU高效处理大量资料的能力至关重要。这种转变促使製造商不断创新,开发针对AI和ML效能最佳化的专用显示卡,进而提升运算能力和平行处理能力。因此,显示卡市场正在快速发展,并逐渐成为多个领域技术创新的平台。
Graphics Card Market size was valued at USD 56.17 Billion in 2024 and is poised to grow from USD 74.59 Billion in 2025 to USD 721.58 Billion by 2033, growing at a CAGR of 32.8% during the forecast period (2026-2033).
The graphics card market is experiencing robust growth driven by rising demand across multiple sectors, particularly from the gaming industry. The surge in video game popularity, esports, and virtual reality has created a desire for high-performance graphics cards capable of delivering stunning visuals and seamless gameplay. Moreover, the industrial sector's adoption of GPUs in areas such as artificial intelligence, machine learning, and autonomous driving is significantly contributing to market expansion, as these technologies require advanced processing capabilities for complex computations. Additionally, healthcare applications in medical imaging and analysis, automotive and aerospace industries' simulation needs, and cryptocurrency mining are further propelling the demand for powerful graphics cards. Emerging features like real-time ray tracing and AI capabilities enhance their appeal, suggesting continuous advancements in graphics technology.
Top-down and bottom-up approaches were used to estimate and validate the size of the Graphics Card market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Graphics Card Market Segments Analysis
Graphics Card Market is segmented by Type, Connectivity, Interface, Cooling Type, Memory Type, Application and region. Based on Type, the market is segmented into Dedicated Graphic Cards and Integrated Graphic Cards. Based on Connectivity, the market is segmented into PCLe and External Graphic cards. Based on Interface, the market is segmented into PCI Express 4.0 and PCI Express 5.0. Based on Cooling Type, the market is segmented into Air-Cooled and Liquid-Cooled. Based on Memory Type, the market is segmented into GDDR6, GDDR6X, HBM2 and HBM3. Based on Application, the market is segmented into Gaming, Data Center and Professional Visualization. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Graphics Card Market
A significant factor propelling the graphics card market is the surging demand originating from the gaming sector. As the gaming landscape evolves, players are increasingly craving immersive experiences that showcase stunning visuals. This escalation in demand necessitates high-performance graphics cards capable of managing intricate rendering and processing tasks typical of contemporary games. The pursuit of realistic graphics, elevated frame rates, and seamless gameplay experiences compels manufacturers to innovate and improve their GPU offerings. With gamers continuously seeking superior graphics and enhanced performance, the demand for cutting-edge GPUs remains strong, further stimulating growth within the graphics card market.
Restraints in the Graphics Card Market
A significant constraint facing the graphics card market is the persistent shortage of semiconductor chips. This scarcity has severely disrupted supply chains, impacting the production of various electronic devices, including graphics cards. Factors contributing to this shortage encompass supply chain issues and geopolitical tensions that have hindered the semiconductor industry. As a result, the market has experienced limited availability and soaring prices for graphics cards, complicating efforts for consumers and system builders alike. This constraint not only affects individual purchasing decisions but also hinders the broader growth and development of the graphics card market as a whole.
Market Trends of the Graphics Card Market
The graphics card market is witnessing a significant surge in demand driven by the escalating need for high-performance GPUs, primarily fueled by advancements in artificial intelligence (AI) and machine learning (ML) technologies. As industries increasingly rely on these transformative applications, the efficiency of GPUs in handling vast data processing tasks becomes paramount. This shift has prompted manufacturers to innovate and create specialized graphics cards tailored for optimal AI and ML performance, enhancing computational power and parallel processing capabilities. As a result, the graphics card market is evolving rapidly, positioning itself as a cornerstone of technological innovation across multiple sectors.