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市场调查报告书
商品编码
1965937

视觉处理单元市场 - 全球产业规模、份额、趋势、机会、预测：按类型、最终用户、地区和竞争格局划分，2021-2031年

Vision Processing Unit Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Type, By End User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3个工作天内

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简介目录

全球视觉处理单元市场预计将从 2025 年的 59.3 亿美元成长到 2031 年的 161.5 亿美元，复合年增长率为 18.18%。

视觉处理单元 (VPU) 是专用的微处理器，旨在加速边缘环境下的机器视觉演算法和人工智慧推理，与标准图形处理器相比，可显着提高能源效率。市场成长的关键驱动因素包括自动驾驶汽车对即时分析日益增长的需求以及智慧监控系统的普及，这两者都需要低延迟且不依赖云端连接的处理能力。此外，工业自动化在品质检测领域的进步也推动了硬体的普及。根据半导体行业协会的数据，包括 VPU 在内的全球逻辑半导体销售额预计将在 2024 年达到 2,126 亿美元，这表明市场对先进处理硬体的需求强劲。

市场概览
预测期 2027-2031
市场规模：2025年 59.3亿美元
市场规模：2031年 161.5亿美元
复合年增长率：2026-2031年 18.18%
成长最快的细分市场 安全与监控
最大的市场 亚太地区

限制市场扩张的主要障碍在于，针对各种神经网路对这些异质架构进行程式设计和最佳化所涉及的技术复杂性相当高。有效利用VPU功能所需的陡峭学习曲线和大量开发资源可能会延缓产品上市时间并增加整合成本。对于工程预算有限、需要在性能要求和严格的功耗限制之间寻求平衡的製造商而言，这尤其是一个巨大的挑战。

市场驱动因素

对先进驾驶辅助系统(ADAS) 和自动驾驶汽车日益增长的需求正成为推动汽车产业发展的主要引擎，从根本上改变汽车架构。汽车製造商正越来越多地将视觉处理单元整合到车辆中，用于分析来自多个摄影机感测器的复杂视觉数据，以实现车道偏离预警、行人追踪和交通标誌识别等关键功能。这一趋势的驱动力在于对能够以最小延迟在本地处理高解析度影像的专用硬体的需求。这确保了无需依赖不可靠的云端连线即可实现即时安全回应。随着自动驾驶等级更高的车辆产量不断增加，对这些专用处理器的需求也不断扩大。例如，2024年10月，中国汽车工业协会报告称，当月大量采用这些技术的新能源汽车产量达到约130万辆。

同时，机器视觉在工业自动化和智慧製造领域的日益普及，正在加速这些处理器的部署。工厂正在快速部署深度学习驱动的视觉机器人和自动化光学检测系统，透过缺陷检测和机械臂的精确引导，减少人工监督的需求。这种自动化依赖于高效的处理器来处理工厂车间的推理任务，并优化工作流程和能耗。 2024年9月，国际机器人联合会（IFR）宣布，全球工业运作中数量已达到创纪录的420万台，凸显了基于视觉控制的基础设施的重要性。此外，世界半导体贸易统计（WSTS）预测，2024年全球半导体市场将成长16.0%，显示专业视觉技术的应用前景广阔。

市场挑战

与异质虚拟处理器（VPU）架构的程式设计和最佳化相关的技术复杂性是其市场普及的主要障碍。与标准处理器不同，VPU 需要专用的软体堆迭来高效管理不同运算引擎之间的资料传输，这要求极高的专业水平，而这往往是许多製造商所缺乏的。这种陡峭的学习曲线迫使企业投入大量资金用于劳动密集的软体开发，导致产品上市时间大幅延迟。因此，工程预算有限的企业常常难以在必要的效能最佳化和严格的功耗限制之间取得平衡，从而阻碍了该技术的广泛应用。

先进逻辑装置所需的硬检验成本不断攀升，进一步加剧了这些整合挑战。确保复杂处理单元可靠性的财务负担阻碍了中小市场参与企业的快速扩张。根据SEMI预测，2024年全球半导体测试设备销售额成长了20%，反映出整个产业为检验复杂硬体效能而增加的投资。这种不断恶化的成本结构直接阻碍了对成本敏感的行业整合VPU解决方案，导致全球视觉处理单元市场整体成长放缓。

市场趋势

将生成式人工智慧加速功能整合到边缘设备中，标誌着视觉处理单元（VPU）架构的根本性转变。硬体设计人员正在加速客製化VPU逻辑，以摆脱对云端推理和基于Process 变压器的模型以及本地多模态人工智慧工作负载的依赖。这项转变满足了消费性电子产品对隐私和延迟的关键需求，并要求处理器能够在严格的散热限制下处理高要求的生成式任务。高通公司2024财年公布财报，行动电话收入年增12%至61亿美元，证明了专为设备端生成式人工智慧应用而设计的骁龙平台取得了商业性成功。

同时，市场正朝着异构系统晶片(SoC) 架构发展，这种架构整合了独立的视觉处理单元 (VPU)、影像讯号处理器 (ISP) 和神经处理单元 (NPU)。这种整合消除了各个组件之间的资料传输瓶颈，提高了高解析度影像处理任务的能源效率和运算吞吐量。透过将视觉处理逻辑与其他加速器模组集成，製造商可以实现下一代行动和嵌入式系统所需的卓越能效比。台积电在 2024 年 11 月公布，其 10 月的合併销售额约为 3,142.4 亿新台币（年成长 29.2%），凸显了市场对这些先进整合逻辑技术的强劲需求。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球视觉处理单元市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 按类型（无人机、ADAS、智慧型手机、相机、AR/VR、机器人、穿戴式装置）
    • 依最终用户（家用电子电器、汽车、安防监控等）划分
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美视觉处理单元市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国别分析
    • 我们
    • 加拿大
    • 墨西哥

第七章：欧洲视觉处理单元市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国别分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区视觉处理单元市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国别分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东与非洲视觉处理单元市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东与非洲：国别分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美洲视觉处理单元市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国别分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 促进因素
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 近期趋势

第十三章 全球视觉处理单元市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的议价能力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • Intel Corporation
  • NVIDIA Corporation
  • Google LLC
  • Advanced Micro Devices, Inc.
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co., Ltd.
  • MediaTek Inc.
  • Ambarella, International LP.
  • Huawei Technologies Co., Ltd.
  • Cadence Design Systems, Inc.

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 20808

The Global Vision Processing Unit Market is projected to expand from USD 5.93 Billion in 2025 to USD 16.15 Billion by 2031, registering a CAGR of 18.18%. A Vision Processing Unit (VPU) is a specialized microprocessor engineered to expedite machine vision algorithms and artificial intelligence inference at the edge, delivering significantly better energy efficiency than standard graphics processors. Market growth is chiefly fueled by the rising need for real-time analytics in autonomous vehicles and the spread of smart surveillance systems, both of which demand low-latency processing independent of cloud connectivity. Furthermore, the growth of industrial automation for quality inspection drives hardware uptake. Data from the Semiconductor Industry Association indicates that global sales of logic semiconductors, the category including VPUs, reached USD 212.6 billion in 2024, evidencing strong demand for advanced processing hardware.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 5.93 Billion
Market Size 2031USD 16.15 Billion
CAGR 2026-203118.18%
Fastest Growing SegmentSecurity and Surveillance
Largest MarketAsia Pacific

A major hurdle limiting wider market reach is the substantial technical complexity involved in programming and optimizing these heterogeneous architectures for various neural networks. The steep learning curve and significant development resources needed to leverage VPU capabilities effectively can slow product time-to-market and raise integration costs. This presents a particular challenge for manufacturers with constrained engineering budgets who attempt to balance performance requirements with strict power limitations.

Market Driver

The escalating demand for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles serves as a primary growth engine, fundamentally transforming vehicle architecture. Automakers are increasingly incorporating vision processing units to analyze complex visual data from multiple camera sensors for vital functions like lane departure warnings, pedestrian tracking, and traffic sign recognition. This trend is driven by the need for dedicated hardware capable of processing high-resolution video locally with minimal latency, ensuring immediate safety reactions without relying on inconsistent cloud links. As the manufacturing of vehicles with higher autonomy levels increases, the need for these specialized processors grows. For instance, the China Association of Automobile Manufacturers reported in October 2024 that new energy vehicle production, which heavily employs these technologies, hit approximately 1.3 million units for the month.

Concurrently, the rising adoption of machine vision in industrial automation and smart manufacturing accelerates the deployment of these processors. Factories are rapidly adopting vision-enabled robots and automated optical inspection systems that use deep learning to detect defects and guide robotic arms with precision, reducing the need for manual oversight. This automation relies on high-efficiency processors to handle inference tasks on the factory floor, optimizing workflow and power usage. The International Federation of Robotics noted in September 2024 that the global operational stock of industrial robots reached a record 4.2 million units, highlighting the infrastructure demanding vision-based control. Additionally, the World Semiconductor Trade Statistics projected the global semiconductor market to grow by 16.0 percent in 2024, signaling a robust environment for specialized vision technology adoption.

Market Challenge

The substantial technical complexity involved in programming and optimizing heterogeneous VPU architectures acts as a major barrier to widespread market adoption. Unlike standard processors, VPUs demand specialized software stacks to efficiently manage data transfer between distinct compute engines, requiring a level of expertise that is often scarce among manufacturers. This steep learning curve compels companies to divert essential capital toward labor-intensive software development, which significantly delays product time-to-market. Consequently, firms with restricted engineering budgets frequently struggle to reconcile necessary performance optimization with rigorous power constraints, thereby limiting the technology's accessibility.

These integration difficulties are further aggravated by the rising costs of hardware validation necessary for such advanced logic devices. The financial strain of ensuring reliability in complex processing units prevents rapid scalability for smaller market participants. According to SEMI, global billings for semiconductor test equipment rose by 20% in 2024, reflecting the increasing industry-wide investment required to verify intricate hardware performance. This escalating cost structure directly impedes cost-sensitive sectors from integrating VPU solutions, effectively slowing the overall growth trajectory of the Global Vision Processing Unit Market.

Market Trends

The incorporation of generative AI acceleration capabilities into edge devices marks a fundamental architectural shift for vision processing units. Hardware designers are increasingly tailoring VPU logic to handle transformer-based models and multimodal AI workloads locally, moving away from exclusive reliance on cloud-based inference. This transition tackles critical privacy issues and latency requirements in consumer electronics, necessitating processors that can manage intensive generative tasks within tight thermal limits. Qualcomm's November 2024 earnings release highlighted that handset revenues grew 12 percent year-over-year to USD 6.1 billion, demonstrating the commercial success of Snapdragon platforms designed specifically for on-device generative AI applications.

Parallel to this, the market is observing the convergence of standalone VPUs with Image Signal Processors (ISPs) and Neural Processing Units (NPUs) into unified heterogeneous System-on-Chip (SoC) architectures. This consolidation removes data movement bottlenecks between separate components, thereby enhancing energy efficiency and computational throughput for high-resolution imaging tasks. By embedding vision processing logic alongside other accelerator blocks, manufacturers can achieve the superior performance-per-watt ratios needed for next-generation mobile and embedded systems. TSMC reported in November 2024 that consolidated revenue for October reached approximately TWD 314.24 billion, a 29.2 percent increase from the previous year, underscoring the strong manufacturing demand for these advanced, integrated logic technologies.

Key Market Players

  • Intel Corporation
  • NVIDIA Corporation
  • Google LLC
  • Advanced Micro Devices, Inc.
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Co., Ltd.
  • MediaTek Inc.
  • Ambarella, International LP.
  • Huawei Technologies Co., Ltd.
  • Cadence Design Systems, Inc.

Report Scope

In this report, the Global Vision Processing Unit Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Vision Processing Unit Market, By Type

  • Drones
  • ADAS
  • Smartphones
  • Cameras
  • AR/VR
  • Robotics
  • Wearables

Vision Processing Unit Market, By End User

  • Consumer Electronics
  • Automotive
  • Security and Surveillance
  • Others

Vision Processing Unit Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Vision Processing Unit Market.

Available Customizations:

Global Vision Processing Unit Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Vision Processing Unit Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type (Drones, ADAS, Smartphones, Cameras, AR/VR, Robotics, Wearables)
    • 5.2.2. By End User (Consumer Electronics, Automotive, Security and Surveillance, Others)
    • 5.2.3. By Region
    • 5.2.4. By Company (2025)
  • 5.3. Market Map

6. North America Vision Processing Unit Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By End User
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Vision Processing Unit Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Type
        • 6.3.1.2.2. By End User
    • 6.3.2. Canada Vision Processing Unit Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Type
        • 6.3.2.2.2. By End User
    • 6.3.3. Mexico Vision Processing Unit Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Type
        • 6.3.3.2.2. By End User

7. Europe Vision Processing Unit Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By End User
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Vision Processing Unit Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Type
        • 7.3.1.2.2. By End User
    • 7.3.2. France Vision Processing Unit Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Type
        • 7.3.2.2.2. By End User
    • 7.3.3. United Kingdom Vision Processing Unit Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Type
        • 7.3.3.2.2. By End User
    • 7.3.4. Italy Vision Processing Unit Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Type
        • 7.3.4.2.2. By End User
    • 7.3.5. Spain Vision Processing Unit Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Type
        • 7.3.5.2.2. By End User

8. Asia Pacific Vision Processing Unit Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By End User
    • 8.2.3. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Vision Processing Unit Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By End User
    • 8.3.2. India Vision Processing Unit Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By End User
    • 8.3.3. Japan Vision Processing Unit Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By End User
    • 8.3.4. South Korea Vision Processing Unit Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Type
        • 8.3.4.2.2. By End User
    • 8.3.5. Australia Vision Processing Unit Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Type
        • 8.3.5.2.2. By End User

9. Middle East & Africa Vision Processing Unit Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By End User
    • 9.2.3. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Vision Processing Unit Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By End User
    • 9.3.2. UAE Vision Processing Unit Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By End User
    • 9.3.3. South Africa Vision Processing Unit Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By End User

10. South America Vision Processing Unit Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By End User
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Vision Processing Unit Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By End User
    • 10.3.2. Colombia Vision Processing Unit Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By End User
    • 10.3.3. Argentina Vision Processing Unit Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By End User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Vision Processing Unit Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Intel Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. NVIDIA Corporation
  • 15.3. Google LLC
  • 15.4. Advanced Micro Devices, Inc.
  • 15.5. Qualcomm Technologies, Inc.
  • 15.6. Samsung Electronics Co., Ltd.
  • 15.7. MediaTek Inc.
  • 15.8. Ambarella, International LP.
  • 15.9. Huawei Technologies Co., Ltd.
  • 15.10. Cadence Design Systems, Inc.

16. Strategic Recommendations

17. About Us & Disclaimer