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市場調查報告書
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1965937

視覺處理單元市場 - 全球產業規模、佔有率、趨勢、機會、預測：按類型、最終用戶、地區和競爭格局分類，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個工作天內

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簡介目錄

全球視覺處理單元市場預計將從 2025 年的 59.3 億美元成長到 2031 年的 161.5 億美元，複合年成長率為 18.18%。

視覺處理單元 (VPU) 是專用的微處理器，旨在加速邊緣環境下的機器視覺演算法和人工智慧推理，與標準圖形處理器相比，可顯著提高能源效率。市場成長的關鍵促進因素包括自動駕駛汽車對即時分析日益成長的需求以及智慧監控系統的普及，這兩者都需要低延遲且不依賴雲端連接的處理能力。此外，工業自動化在品質檢測領域的進步也推動了硬體的普及。根據半導體行業協會的數據，包括 VPU 在內的全球邏輯半導體銷售額預計將在 2024 年達到 2,126 億美元，這表明市場對先進處理硬體的需求強勁。

市場概覽
預測期 2027-2031
市場規模：2025年 59.3億美元
市場規模：2031年 161.5億美元
複合年成長率：2026-2031年 18.18%
成長最快的細分市場 安全與監控
最大的市場 亞太地區

限制市場擴張的主要障礙在於，針對各種神經網路對這些異質架構進行程式設計和最佳化所涉及的技術複雜性相當高。有效利用VPU功能所需的陡峭學習曲線和大量開發資源可能會延緩產品上市時間並增加整合成本。對於工程預算有限、需要在性能要求和嚴格的功耗限制之間尋求平衡的製造商而言，這尤其是一個巨大的挑戰。

市場促進因素

對先進駕駛輔助系統(ADAS) 和自動駕駛汽車日益成長的需求正成為推動汽車產業發展的主要引擎，從根本上改變汽車架構。汽車製造商正擴大將視覺處理單元整合到車輛中，用於分析來自多個攝影機感測器的複雜視覺數據，以實現車道偏離預警、行人追蹤和交通標誌識別等關鍵功能。這一趨勢的驅動力在於對能夠以最小延遲在本地處理高解析度影像的專用硬體的需求。這確保了無需依賴不可靠的雲端連線即可實現即時安全回應。隨著自動駕駛等級更高的車輛產量不斷增加，對這些專用處理器的需求也不斷擴大。例如，2024年10月，中國汽車工業協會報告稱，當月大量採用這些技術的新能源汽車產量達到約130萬輛。

同時，機器視覺在工業自動化和智慧製造領域的日益普及，正在加速這些處理器的部署。工廠正在快速部署深度學習驅動的視覺機器人和自動化光學檢測系統，透過缺陷檢測和機械臂的精確引導，減少人工監督的需求。這種自動化依賴於高效的處理器來處理工廠車間的推理任務，並最佳化工作流程和能耗。 2024年9月，國際機器人聯合會（IFR）宣布，全球工業運作中數量已達到創紀錄的420萬台，凸顯了基於視覺控制的基礎設施的重要性。此外，世界半導體貿易統計（WSTS）預測，2024年全球半導體市場將成長16.0%，顯示專業視覺技術的應用前景廣闊。

市場挑戰

與異質虛擬處理器（VPU）架構的程式設計和最佳化相關的技術複雜性是其市場普及的主要障礙。與標準處理器不同，VPU 需要專用的軟體堆疊來高效管理不同運算引擎之間的資料傳輸，這要求極高的專業水平，而這往往是許多製造商所缺乏的。這種陡峭的學習曲線迫使企業投入大量資金用於勞動密集的軟體開發，導致產品上市時間大幅延遲。因此，工程預算有限的企業常常難以在必要的效能最佳化和嚴格的功耗限制之間取得平衡，從而阻礙了該技術的廣泛應用。

先進邏輯裝置所需的硬檢驗成本不斷攀升，進一步加劇了這些整合挑戰。確保複雜處理單元可靠性的財務負擔阻礙了中小市場參與企業的快速擴張。根據SEMI預測，2024年全球半導體測試設備銷售額成長了20%，反映出整個產業為檢驗複雜硬體效能而增加的投資。這種不斷惡化的成本結構直接阻礙了對成本敏感的行業整合VPU解決方案，導致全球視覺處理單元市場整體成長放緩。

市場趨勢

將生成式人工智慧加速功能整合到邊緣設備中，標誌著視覺處理單元（VPU）架構的根本性轉變。硬體設計人員正在加速客製化VPU邏輯，以擺脫對雲端推理和基於Process 變壓器的模型以及本地多模態人工智慧工作負載的依賴。這項轉變滿足了消費性電子產品對隱私和延遲的關鍵需求，並要求處理器能夠在嚴格的散熱限制下處理高要求的生成式任務。高通公司2024會計年度公佈財報，行動電話收入年增12%至61億美元，證明了專為設備端生成式人工智慧應用而設計的驍龍平台取得了商業性成功。

同時，市場正朝著異構系統晶片(SoC) 架構發展，這種架構整合了獨立的視覺處理單元 (VPU)、影像訊號處理器 (ISP) 和神經處理單元 (NPU)。這種整合消除了各個組件之間的資料傳輸瓶頸，提高了高解析度影像處理任務的能源效率和運算吞吐量。透過將視覺處理邏輯與其他加速器模組整合，製造商可以實現下一代行動和嵌入式系統所需的卓越能效比。台積電在 2024 年 11 月公佈，其 10 月的合併銷售額約為 3,142.4 億新台幣（年成長 29.2%），凸顯了市場對這些先進整合邏輯技術的強勁需求。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球視覺處理單元市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按類型（無人機、ADAS、智慧型手機、相機、AR/VR、機器人、穿戴式裝置）
    • 依最終用戶（家用電子電器、汽車、安防監控等）分類
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美視覺處理單元市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲視覺處理單元市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區視覺處理單元市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東與非洲視覺處理單元市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲視覺處理單元市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章 全球視覺處理單元市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • 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16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
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