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1827135

視覺處理單元 (VPU) 市場按應用、架構、最終用戶、核心數量、運作頻率、記憶體介面和分銷管道分類 - 全球預測 2025-2032

Vision Processing Unit Market by Application, Architecture, End User, Core Count, Operating Frequency, Memory Interface, Distribution Channel - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 194 Pages | 商品交期: 最快1-2個工作天內

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※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

預計到 2032 年，VPU（視覺處理單元）市場將成長到 119.9 億美元，複合年成長率為 16.57%。

主要市場統計數據
基準年2024年 35.1億美元
預計2025年 40.8億美元
預測年份：2032年 119.9億美元
複合年成長率（%） 16.57%

這個框架清楚地說明了為什麼 VPU（視覺處理單元）是現代邊緣智慧的核心，以及硬體和軟體協同設計如何重塑系統級成果

視覺處理單元 (VPU) 的技術演進正使其從利基加速器發展成為現代智慧系統的基礎元素。隨著視覺工作負載日益向邊緣和混合架構轉移，VPU 的設計目標不再僅限於原始吞吐量，而是提供高能源效率、確定性的推理效能。本介紹將從整合壓力的視角來闡述 VPU 的前景，這種整合壓力促使半導體架構師、系統設計師和最終用戶通用關注以下幾個優先事項：降低延遲、降低功耗以及特定任務的組裝。

在此背景下，電腦視覺領域演算法進步與硬體專業化之間的相互作用日益加深。新的神經網路拓撲和模型壓縮技術正在減少運算佔用空間，使視覺處理單元 (VPU) 能夠嵌入到從相機模組到自主平台等各種受限環境中。因此，視覺處理單元 (VPU) 的發展歷程是系統層級最佳化的體現。硬體架構正與軟體工具鍊和中介軟體協同設計，以加快部署速度，同時保持安全性和可靠性。本節將重點探討影響視覺處理單元 (VPU) 開發和應用的驅動力和實際限制因素，為後續分析奠定基礎。

運算分佈、演算法專業化和監管考量如何融合，重新定義 VPU 架構和部署策略

由於計算分佈、演算法專業化和監管審查等趨勢的融合，視覺處理單元 (VPU) 的格局正在發生重大變化。為了滿足延遲和隱私需求，邊緣推理越來越受到重視，而雲端資源則被保留用於繁重的模型訓練和定期更新。因此，VPU 設計強調低功耗運作、最佳化的記憶體層次結構以及在不同熱環境下的確定性效能。

同時，演算法專業化正在破壞「一刀切」的架構模式。模型剪枝、量化和算子融合為特定領域加速器創造了機會，這些加速器在視覺工作負載下可提供比通用 GPU 更高的每瓦效能。這種轉變伴隨著標準化軟體工具鏈和可互通運作時日益成長的壓力。最後，監管和安全性的考量正在影響設備外形尺寸的選擇和供應鏈架構。隨著隱私權法和安全認證要求的不斷發展，系統設計人員正在優先考慮設備上的處理、安全啟動流程和可認證的供應鏈。總而言之，這些轉變表明視覺處理單元 (VPU) 市場正在從實驗性的差異化發展成為眾多智慧型系統的營運必需品。

了解 2025 年貿易政策轉變如何推動整個 VPU 供應鏈的供應商多元化、設計在地化和自適應籌資策略

2025年美國關稅和貿易政策調整，為設計和製造視覺處理單元（VPU）的公司帶來了新的策略風險和營運成本。雖然關稅旨在保護國內產業並鼓勵企業在岸生產，但其累積效應已超越了直接的成本壓力，正在影響供應商關係、設計選擇和全球製造佈局。許多供應商正在重新評估其採購多元化策略，並尋求透過尋找更多代工合作夥伴、達成跨區域供應協議以及加快對本地組裝和測試能力的投資來降低風險。

此外，關稅也加速了圍繞設計在地化和法規遵循的討論。產品團隊擴大將出口管制考量、內容可追溯性和供應商視覺性納入早期架構決策。因此，一些設計人員選擇模組化硬體平台，這些平台可以使用特定區域的組件和韌體進行重新配置，以減少跨市場摩擦。同時，採購和財務團隊正在重新談判契約，並探索對沖機制，以平滑對產品級定價和專案利潤的影響。簡而言之，關稅環境正在推動策略轉變，從透過單一來源擴展來降低成本，轉向以彈性主導的多來源和自適應設計策略，即使在不斷變化的貿易條件下也能保持產品藍圖的一致性。

全面的細分洞察，將應用需求、硬體架構選擇、供應關係以及 VPU 部署中的效能權衡連結起來

仔細觀察 VPU 領域，可以發現不同應用領域、架構選擇、最終用戶動態和平台配置之間有顯著差異。汽車產業涵蓋高級駕駛輔助系統 (ADAS)、自動駕駛、資訊娛樂和車聯網通訊等需求，其中自動駕駛又根據決定延遲預算和安全架構的功能等級進一步細分。消費性電子產品和智慧家庭產品優先考慮外形規格、電源效率和異質感測器整合。資料中心應用分為推理和訓練工作負載，每種工作負載對吞吐量、記憶體頻寬和軟體生態系統支援都有不同的要求。醫療保健、工業自動化、機器人和監控各自對法規遵循、確定性操作和環境穩健性施加了獨特的限制。

架構的選擇與工作負載特性直接相關。客製化和標準 ASIC 可為固定工作負載提供差異化的效率，而 DSP（提供定點和浮點版本）則支援訊號處理管線。 FPGA 分為高階和低階兩種類型，並具有演算法更新的適應性；而 GPU（獨立或整合）在可編程性和傳統軟體生態系統至關重要的領域仍然具有重要意義。專為雲端和邊緣設計的神經處理器正在成為矩陣運算和量化推理最佳化的專用處理器。終端用戶細分顯示了多樣化的採購和開發模式。經銷商、原始設計製造商、具有分層供應商結構的原始設備製造商以及系統整合各自需要不同的參與模式和支援等級。核心數量和運作頻率（從低到高）的選擇會影響並行度和功耗預算之間的權衡，而 HBM、LPDDR4、LPDDR5 和 SDRAM 之間的記憶體介面選擇則會顯著影響可實現的吞吐量和延遲。此外，分銷管道（例如通路合作夥伴、直銷和線上銷售）也會影響業務流程，需要量身定做的市場進入行為和合作夥伴支援策略。

區域產業生態系統、管理體制和製造業接近性如何影響 VPU 的不同市場需求和策略重點

區域動態顯著影響 VPU 供應商和系統整合商的策略選擇。美洲地區擁有蓬勃發展的雲端超大規模企業、AI 軟體開發商和汽車原始設備製造商，所有這些都需要深度整合和端到端安全性。這種環境鼓勵企業專注於高效能推理解決方案、軟硬體團隊之間的緊密協作以及在地認證和資料管治實踐。因此，在該地區營運的公司通常優先考慮廣泛的軟體支援、企業級安全功能以及與系統整合的夥伴關係，以滿足複雜的部署需求。

在歐洲、中東和非洲，法律規範和產業標準在影響產品接受度方面發揮重要作用。注重隱私的設計、汽車和醫療應用的安全認證以及嚴格的採購流程要求供應商證明其合規性和可追溯性。在此背景下，區域供應鏈的韌性以及在地化製造和測試的能力成為競爭優勢。同時，亞太地區擁有密集的製造生態系統、充滿活力的半導體設計社區以及快速擴張的消費和工業市場。接近性先進的晶圓代工廠、多元化的供應商基礎以及強大的系統整合能力，使該地區成為大批量消費和專用工業設備的中心。因此，每個地區對設計模組化、認證途徑和商業性參與策略都有不同的要求，成功的參與者正在相應地調整其方法。

VPU 生態系統領導者的策略概況揭示了 IP 專業化、夥伴關係和整合選擇如何定義競爭優勢和業務執行

視覺處理單元 (VPU) 生態系統中的主要企業正在推行差異化策略，以反映其在智慧財產權 (IP)、製造、軟體生態系統和通路覆蓋方面的優勢。有些供應商專注於晶片，最佳化客製化 ASIC 和神經處理器，以提升目標視覺工作負載的能源效率；而有些供應商則利用 GPU 和 FPGA 等可編程平台，以保持靈活應對不斷變化的模型拓撲。晶片設計商、軟體工具鏈提供商和系統整合商之間的策略夥伴關係關係日益普遍，從而能夠快速整合最佳化的運行時、預檢驗模型和關鍵行業的部署模板。

此外，企業策略在垂直整合和生態系統建設方面也存在差異。掌控半導體設計和製造鏈的公司強調端到端最佳化，涵蓋從記憶體介面選擇到熱感和散熱解決方案的各個環節。相反，在軟體和中介軟體領域表現優異的公司則優先考慮開放工具鏈、開發者支援和快速模型移植，以贏得工程師和系統架構師的顧客購買傾向率。併購和智慧財產權授權持續重塑競爭壁壘，而製造夥伴關係和代工廠關係則決定了產品成熟的實際速度。市場區隔領域的領導者在對獨特性能優勢的投資與對互通性和開發者支援的承諾之間取得平衡，以拓展汽車、邊緣和雲端運算領域的潛在機會。

建議採取可行的雙軌制，以實現即時供應彈性和長期產能建設，以確保在 VPU 市場的競爭優勢。

產業領導者必須採取雙軌策略，將短期韌性措施與長期產能投資結合。短期內，優先事項包括：實現供應基礎多元化以減少單點依賴；協商靈活的合約條款以允許零件替換；以及採用模組化設計，使硬體平台無需進行大規模重新設計即可適應不同的區域限制。同時，營運團隊應加強與軟體合作夥伴的協作，以標準化運行時堆疊，從而縮短整合週期並提高跨架構的可移植性。

為了獲得長期優勢，企業必須投資節能的神經處理原語和特定領域的IP，以便在視覺模型不斷發展的同時實現持續的表現提升。他們還必須建立強大的檢驗和認證流程，以滿足汽車、醫療保健和工業應用獨特的安全、隱私和環境要求。從商業性角度來看，他們必須開發與直銷、​​通路合作夥伴和線上銷售相結合的差異化合作夥伴計劃，以推動最終用戶的採用。最後，董事會層面的策略必須優先考慮硬體和編譯器工程人才的招聘，同時支持能夠將產品藍圖與新興監管和市場條件相結合的跨職能團隊，使組織能夠自信地隨著市場條件的變化而調整。

透過結合專家訪談、技術分析和供應鏈映射的透明、三管齊下的研究途徑來獲得與業務相關的見解

研究途徑結合了對一手資料和二手資料的系統性回顧、專家檢驗和跨學科綜合分析。主要輸入包括對部署視覺系統的各個行業的晶片架構師、系統整合商、採購主管和產品經理進行結構化訪談。訪談也輔以技術白皮書、製造商資料表和公開監管文件，以確認產品功能與技術約束之間的一致性。在可能的情況下，我們還分析了技術演示和基準測試報告，以比較架構權衡，例如記憶體介面對吞吐量的影響，以及核心數量和運作頻率對能源效率的影響。

為了保持分析的嚴謹性，我們將研究結果從多個維度進行三角測量：架構分析、供應鏈映射和最終用戶需求。競爭格局分析仰賴對專利格局、公開產品系列、夥伴關係公告和市場進入活動的觀察。情境規劃和敏感性檢定用於檢驗策略建議在各種貿易政策和供應鏈條件下的穩健性。自始至終，我們強調假設的透明度、來源的可追溯性和限制的明確性，以便產品、採購和企業策略團隊能夠將洞察付諸實踐。

簡潔的綜合說明了為什麼整合的硬體專業知識、彈性採購和以開發人員為中心的生態系統決定了 VPU 部署的長期成功

我們的累積分析表明，視覺處理單元不再是可選的加速器，而是為所有行業提供確定性、隱私感知和節能視覺智慧的必備組件。除了需要強大的供應鏈策略外，特定領域加速的發展軌跡需要跨產品架構、軟體生態系統和商業管道的全面響應。隨著工作負載在邊緣和雲端之間轉換，優先考慮模組化設計、軟體可移植性和供應商多樣性的公司將更有能力抓住機會。

此外，市場參與企業必須對影響製造決策和跨境營運的政策和監管變化保持警惕。透過將研發投資與特定的實施要求（例如汽車安全認證或醫療設備標準）結合，企業可以縮短認證時間並加速工業規模應用。總而言之，在視覺處理單元 (VPU) 領域取得成功，將有利於那些將硬體差異化與開發者友好的軟體、彈性供應鏈以及本地化商業性模式相結合，從而將技術力轉化為永續商業性成果的企業。

目錄

第1章：前言

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 穿戴式健康監測器中擴大採用節能 VPU 來實現電腦視覺
  • 多感測器融合和 VPU 整合，實現先進的自主機器人感知
  • 為智慧製造中的邊緣 AI 開發可自訂的 VPU 架構
  • 統一軟體框架的出現，簡化了跨物聯網裝置的 VPU 部署
  • 增加對汽車 ADAS 系統中 VPU 的基於硬體的安全功能的投資
  • 轉向結合 CPU、GPU 和 VPU 的異構計算，用於即時推理工作負載
  • 智慧城市基礎設施和監控網路中 VPU 支援的即時分析的成長

第6章：2025年美國關稅的累積影響

第7章：人工智慧的累積影響，2025年

第 8 章。 VPU（視覺處理單元）市場（按應用）

  • 車
    • ADAS（進階駕駛輔助系統）
    • 自動駕駛
      • 2級
      • 3級
      • 4/5級
    • 資訊娛樂系統
    • V2X
  • 消費性電子產品
  • 資料中心
    • 推理
      • 雲推理
      • 邊緣推理
    • 訓練
      • 雲端培訓
      • 現場培訓
  • 衛生保健
  • 工業自動化
  • 機器人技術
  • 智慧家庭
  • 監控

第9章 VPU（視覺處理單元）市場（依架構）

  • ASIC
    • 客製化 ASIC
    • 標準 ASIC
  • DSP
    • 定點DSP
    • 浮點DSP
  • FPGA
    • 高階FPGA
    • 低階FPGA
  • GPU
    • 獨立 GPU
    • 整合 GPU
  • 神經處理器
    • 雲端NPU
    • 邊緣NPU

第 10 章。 VPU（視覺處理單元）市場（依最終用戶）

  • 經銷商
  • ODM
  • OEM
    • 一級原始設備製造商
    • 二級原始設備製造商
  • 系統整合商

第 11 章：VPU（視覺處理單元）市場（以核心數為單位）

  • 高核
  • 低核
  • 中型核心

第 12 章：視覺處理單元 (VPU) 市場（依運作頻率）

  • 高頻
  • 低頻
  • 中頻

第 13 章：VPU（視覺處理單元）市場（按記憶體介面）

  • HBM
  • LPDDR4
  • LPDDR5
  • SDRAM

第 14 章。 VPU（視覺處理單元）市場按分銷管道

  • 通路夥伴
    • 經銷商
    • 經銷商
  • 直銷
  • 網上分銷

第 15 章。按地區分類的 VPU（視覺處理單元）市場

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第16章 VPU（視覺處理單元）市場（依類別）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第 17 章。按國家/地區分類的 VPU（視覺處理單元）市場

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第18章競爭格局

  • 2024年市佔率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • Intel Corporation
    • NVIDIA Corporation
    • Qualcomm Incorporated
    • Ambarella, Inc.
    • CEVA, Inc.
    • Mobileye Global Inc.
    • Cadence Design Systems, Inc.
    • Samsung Electronics Co., Ltd.
    • NXP Semiconductors NV
    • Texas Instruments Incorporated
Product Code: MRR-E37088676D44

The Vision Processing Unit Market is projected to grow by USD 11.99 billion at a CAGR of 16.57% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 3.51 billion
Estimated Year [2025] USD 4.08 billion
Forecast Year [2032] USD 11.99 billion
CAGR (%) 16.57%

A clear framing of why vision processing units are central to modern edge intelligence and how hardware-software co-design is reshaping system-level outcomes

The technological evolution of vision processing units has shifted from niche accelerators to foundational elements of modern intelligent systems. As visual workloads increasingly migrate toward edge and hybrid architectures, VPUs are being designed not merely for raw throughput but for energy-efficient, deterministic inference performance. This introduction frames the VPU landscape through the lens of integration pressure, where semiconductor architects, system designers, and end users converge on common priorities: latency reduction, power conservation, and task-specific programmability.

Against this backdrop, the interplay between algorithmic advances in computer vision and hardware specialization has intensified. Novel neural network topologies and model compression techniques have reduced computational footprints, enabling VPUs to be embedded in constrained environments from camera modules to autonomous platforms. Consequently, the VPU narrative is one of systems-level optimization: hardware architectures are being co-designed with software toolchains and middleware to accelerate deployment timelines while maintaining security and reliability. This section establishes the context for subsequent analysis by highlighting the driving forces and practical constraints shaping VPU development and adoption.

How distribution of compute, algorithmic specialization, and regulatory considerations are converging to redefine VPU architectures and deployment strategies

The landscape for vision processing units is undergoing transformative shifts driven by convergent trends in compute distribution, algorithmic specialization, and regulatory scrutiny. First, compute distribution is being rebalanced: edge inference is increasingly prioritized to meet latency and privacy demands while cloud resources are reserved for heavy model training and periodic updates. Consequently, VPU designs now emphasize low-power operation, optimized memory hierarchies, and deterministic performance under diverse thermal envelopes.

At the same time, algorithmic specialization is eroding one-size-fits-all architectures. Model pruning, quantization, and operator fusion have created opportunities for domain-specific accelerators that deliver higher performance-per-watt on vision workloads than general-purpose GPUs. This shift is accompanied by growing pressure for standardized software toolchains and interoperable runtimes, which facilitate portability and accelerate time to market. Finally, regulatory and security considerations are affecting both form factor choices and supply chain architectures. As privacy legislation and safety certification requirements evolve, system architects are prioritizing on-device processing, secure boot flows, and attestable supply chains. Taken together, these shifts signal a maturation of the VPU market from experimental differentiation to operational necessity for many intelligent systems.

Understanding how 2025 trade policy shifts have catalyzed supplier diversification, design localization, and adaptive procurement strategies across the VPU supply chain

United States tariffs and trade policy adjustments in 2025 have introduced new dimensions of strategic risk and operational cost for companies designing and manufacturing vision processing units. While tariffs are intended to protect domestic industries and encourage onshoring, their cumulative effect extends beyond immediate cost pressures and shapes supplier relationships, design choices, and global manufacturing footprints. Many vendors are reevaluating source diversification strategies, seeking to mitigate exposure by qualifying additional foundry partners, securing multi-region supply agreements, and accelerating investments in local assembly or test capabilities.

Furthermore, the tariffs have accelerated conversations about design localization and regulatory compliance. Product teams are increasingly factoring export control considerations, content traceability, and supplier visibility into early architecture decisions. As a result, some designers are opting for modular hardware platforms that can be reconfigured with region-specific components or firmware to reduce friction across markets. In parallel, procurement and finance teams are renegotiating contracts and exploring hedging mechanisms to smooth the impact on product-level pricing and program margins. In short, the tariff environment has prompted a strategic pivot from cost-minimization through single-source scale to resilience-driven multi-sourcing and adaptable design strategies that preserve product roadmaps under evolving trade conditions.

Comprehensive segmentation-driven insights linking application demands, hardware architecture choices, supply relationships, and performance trade-offs across VPU deployments

A granular view of the VPU landscape reveals distinct behavior across application domains, architecture choices, end-user dynamics, and platform configuration dimensions. In automotive deployments, requirements span advanced driver assistance systems, autonomous driving, infotainment, and vehicle-to-everything communications, with autonomous driving further differentiated by capability levels that determine latency budgets and safety architectures. Consumer electronics and smart home products prioritize form factor, power efficiency, and integration with heterogeneous sensors, while data center applications split between inference and training workloads, each with divergent requirements for throughput, memory bandwidth, and software ecosystem support. Healthcare, industrial automation, robotics, and surveillance each impose specialized constraints related to regulatory compliance, deterministic operation, and environmental robustness.

Architecture selection maps directly to workload characteristics: custom and standard ASICs deliver differentiated efficiency for fixed workloads, while DSPs-available in fixed-point and floating-point variants-address signal processing pipelines. FPGAs provide adaptability across algorithm updates, available in both high-end and low-end classes, and GPUs-discrete or integrated-remain relevant where programmability and legacy software ecosystems matter. Neural processors designed for cloud or edge contexts are emerging as purpose-built alternatives optimized for matrix operations and quantized inference. End-user segmentation shows varied procurement and development models; distributors, original design manufacturers, original equipment manufacturers with tiered supplier structures, and system integrators each demand different engagement models and support levels. Core count and operating frequency choices-ranging from low to high-mediate trade-offs between parallelism and power budgets, while memory interface decisions between HBM, LPDDR4, LPDDR5, and SDRAM profoundly influence achievable throughput and latency. Distribution channels also shape commercial dynamics, with channel partners, direct sales, and online distribution requiring tailored go-to-market motions and partner enablement strategies.

How regional industrial ecosystems, regulatory regimes, and manufacturing proximities shape distinct market requirements and strategic priorities for VPUs

Regional dynamics materially influence strategic choices for VPU vendors and system integrators. In the Americas, activity is characterized by a strong presence of cloud hyperscalers, AI software developers, and automotive OEMs that demand tight integration and end-to-end security. This environment incentivizes high-performance inference solutions, close collaboration between hardware and software teams, and a premium on local certification and data governance practices. Consequently, companies operating here often emphasize broad software support, enterprise-grade security features, and partnerships with systems integrators to meet complex deployment requirements.

Across Europe, the Middle East & Africa, regulatory frameworks and industrial standards play an outsized role in shaping product acceptance. Privacy-centric design, safety certification for automotive and medical applications, and stringent procurement processes mean that vendors must demonstrate compliance and traceability. In this context, regional supply chain resilience and the ability to localize manufacturing or testing become competitive differentiators. Meanwhile, the Asia-Pacific region exhibits dense manufacturing ecosystems, vibrant semiconductor design communities, and rapidly expanding consumer and industrial markets. Proximity to advanced foundries, diverse supplier bases, and strong system integration capabilities make this region a focal point for both high-volume consumer devices and specialized industrial deployments. Each region therefore imposes distinct requirements on design modularity, certification pathways, and commercial engagement strategies, and successful players tailor their approach accordingly.

Strategic profiles of VPU ecosystem leaders revealing how IP specialization, partnerships, and integration choices define competitive moats and operational execution

Leading companies in the VPU ecosystem are pursuing differentiated strategies that reflect their core strengths in IP, manufacturing, software ecosystems, and channel reach. Some vendors focus on silicon specialization, optimizing custom ASICs or neural processors to deliver superior energy efficiency for targeted vision workloads, while others leverage programmable platforms such as GPUs and FPGAs to maintain flexibility across shifting model topologies. Strategic partnerships between chip designers, software toolchain providers, and systems integrators are increasingly common, enabling faster integration of optimized runtimes, pre-validated models, and deployment templates for key industries.

In addition, corporate strategies vary along the axis of vertical integration versus ecosystem play. Companies that control semiconductor design and fabrication chains emphasize end-to-end optimization, from memory interface selection to packaging and thermal solutions. Conversely, firms that excel in software and middleware prioritize open toolchains, developer support, and rapid model porting to capture mindshare among engineers and system architects. Mergers, acquisitions, and IP licensing continue to reshape competitive moats, while manufacturing partnerships and foundry relationships determine the practical pace of product maturation. Market leaders are balancing investment in proprietary performance advantages with commitments to interoperability and developer enablement to expand their addressable opportunities across automotive, edge, and cloud segments.

Actionable dual-track recommendations for immediate supply resilience and long-term capability building to secure competitive advantage in the VPU market

Industry leaders must adopt a dual-track strategy that combines near-term resiliency measures with long-term capability investments. In the near term, priorities include diversifying the supply base to reduce single-point dependencies, negotiating flexible contractual terms that allow for component substitution, and implementing design modularity so hardware platforms can be adapted to different regional constraints without extensive redesign. At the same time, operational teams should increase collaboration with software partners to shorten integration cycles and standardize runtime stacks that improve portability across architectures.

For longer-term advantage, investing in energy-efficient neural processing primitives and domain-specific IP will yield sustained performance gains as vision models continue to evolve. Organizations should also build robust validation and certification pipelines that address safety, privacy, and environmental requirements specific to automotive, healthcare, and industrial applications. From a commercial perspective, leaders should develop differentiated partner programs tailored to direct sales, channel partners, and online distribution to accelerate adoption across end users. Finally, board-level strategy should prioritize talent retention in hardware and compiler engineering while supporting cross-functional teams that can align product roadmaps with emerging regulatory and trade landscapes, ensuring that the organization can pivot confidently as market conditions change.

A transparent, triangulated research approach combining expert interviews, technical analysis, and supply chain mapping to generate operationally relevant insights

The research approach combined a systematic review of primary and secondary evidence with expert validation and cross-disciplinary synthesis. Primary inputs included structured interviews with chip architects, system integrators, procurement leads, and product managers across industries deploying vision-capable systems. These interviews were complemented by technical whitepapers, manufacturer datasheets, and public regulatory filings to ensure alignment between stated product capabilities and engineering constraints. Where possible, technology demonstrations and benchmark reports were analyzed to compare architectural trade-offs such as memory interface impact on throughput and the influence of core count and operating frequency on energy efficiency.

To maintain analytical rigor, findings were triangulated through multiple lenses: architectural analysis, supply chain mapping, and end-user requirements. Competitive profiling relied on patent landscapes, public product portfolios, partnership announcements, and observed go-to-market motions. Scenario planning and sensitivity checks were used to test the robustness of strategic recommendations under varying trade policy and supply chain conditions. Throughout, emphasis was placed on transparency of assumptions, traceability of sources, and clarity on limitations, ensuring that the resulting insights could be operationalized by product, procurement, and corporate strategy teams.

A concise synthesis showing why integrated hardware specialization, resilient sourcing, and developer-focused ecosystems determine long-term success in VPU deployments

The cumulative analysis underscores that vision processing units are no longer optional accelerators but essential components for delivering deterministic, privacy-aware, and energy-efficient visual intelligence across industries. The trajectory toward domain-specific acceleration, coupled with the need for robust supply chain strategies, requires an integrated response that spans product architecture, software ecosystems, and commercial channels. Companies that prioritize modular design, software portability, and supplier diversification will be better positioned to capture opportunities as workloads migrate between edge and cloud contexts.

Moreover, market participants must remain vigilant to policy and regulatory shifts that influence manufacturing decisions and cross-border operations. By aligning R&D investments with concrete deployment requirements-such as automotive safety certifications or medical device standards-firms can reduce time to certification and accelerate industrial-scale adoption. In conclusion, success in the VPU space will favor organizations that combine hardware differentiation with developer-friendly software, resilient supply chains, and regionally tailored commercial approaches, thereby converting technical capability into sustainable commercial outcomes.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Rising adoption of energy-efficient VPUs for computer vision in wearable health monitors
  • 5.2. Integration of VPUs with multi-sensor fusion for advanced autonomous robotics perception
  • 5.3. Development of customizable VPU architectures tailored for edge AI in smart manufacturing
  • 5.4. Emergence of unified software frameworks to streamline VPU deployment across IoT devices
  • 5.5. Increasing investment in hardware-based security features for VPUs in automotive ADAS systems
  • 5.6. Shift towards heterogeneous computing combining CPUs, GPUs, and VPUs for real-time inference workloads
  • 5.7. Growth of VPU-enabled real-time analytics in smart city infrastructure and surveillance networks

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Vision Processing Unit Market, by Application

  • 8.1. Automotive
    • 8.1.1. Advanced Driver Assistance Systems
    • 8.1.2. Autonomous Driving
      • 8.1.2.1. Level 2
      • 8.1.2.2. Level 3
      • 8.1.2.3. Level 4/5
    • 8.1.3. Infotainment Systems
    • 8.1.4. Vehicle-To-Everything
  • 8.2. Consumer Electronics
  • 8.3. Data Center
    • 8.3.1. Inference
      • 8.3.1.1. Cloud Inference
      • 8.3.1.2. Edge Inference
    • 8.3.2. Training
      • 8.3.2.1. Cloud Training
      • 8.3.2.2. On-Premise Training
  • 8.4. Healthcare
  • 8.5. Industrial Automation
  • 8.6. Robotics
  • 8.7. Smart Home
  • 8.8. Surveillance

9. Vision Processing Unit Market, by Architecture

  • 9.1. ASIC
    • 9.1.1. Custom ASIC
    • 9.1.2. Standard ASIC
  • 9.2. DSP
    • 9.2.1. Fixed-Point DSP
    • 9.2.2. Floating-Point DSP
  • 9.3. FPGA
    • 9.3.1. High-End FPGA
    • 9.3.2. Low-End FPGA
  • 9.4. GPU
    • 9.4.1. Discrete GPU
    • 9.4.2. Integrated GPU
  • 9.5. Neural Processor
    • 9.5.1. Cloud NPU
    • 9.5.2. Edge NPU

10. Vision Processing Unit Market, by End User

  • 10.1. Distributors
  • 10.2. ODMs
  • 10.3. OEMs
    • 10.3.1. Tier 1 OEMs
    • 10.3.2. Tier 2 OEMs
  • 10.4. System Integrators

11. Vision Processing Unit Market, by Core Count

  • 11.1. High Core
  • 11.2. Low Core
  • 11.3. Medium Core

12. Vision Processing Unit Market, by Operating Frequency

  • 12.1. High Frequency
  • 12.2. Low Frequency
  • 12.3. Medium Frequency

13. Vision Processing Unit Market, by Memory Interface

  • 13.1. HBM
  • 13.2. LPDDR4
  • 13.3. LPDDR5
  • 13.4. SDRAM

14. Vision Processing Unit Market, by Distribution Channel

  • 14.1. Channel Partners
    • 14.1.1. Distributors
    • 14.1.2. Resellers
  • 14.2. Direct Sales
  • 14.3. Online Distribution

15. Vision Processing Unit Market, by Region

  • 15.1. Americas
    • 15.1.1. North America
    • 15.1.2. Latin America
  • 15.2. Europe, Middle East & Africa
    • 15.2.1. Europe
    • 15.2.2. Middle East
    • 15.2.3. Africa
  • 15.3. Asia-Pacific

16. Vision Processing Unit Market, by Group

  • 16.1. ASEAN
  • 16.2. GCC
  • 16.3. European Union
  • 16.4. BRICS
  • 16.5. G7
  • 16.6. NATO

17. Vision Processing Unit Market, by Country

  • 17.1. United States
  • 17.2. Canada
  • 17.3. Mexico
  • 17.4. Brazil
  • 17.5. United Kingdom
  • 17.6. Germany
  • 17.7. France
  • 17.8. Russia
  • 17.9. Italy
  • 17.10. Spain
  • 17.11. China
  • 17.12. India
  • 17.13. Japan
  • 17.14. Australia
  • 17.15. South Korea

18. Competitive Landscape

  • 18.1. Market Share Analysis, 2024
  • 18.2. FPNV Positioning Matrix, 2024
  • 18.3. Competitive Analysis
    • 18.3.1. Intel Corporation
    • 18.3.2. NVIDIA Corporation
    • 18.3.3. Qualcomm Incorporated
    • 18.3.4. Ambarella, Inc.
    • 18.3.5. CEVA, Inc.
    • 18.3.6. Mobileye Global Inc.
    • 18.3.7. Cadence Design Systems, Inc.
    • 18.3.8. Samsung Electronics Co., Ltd.
    • 18.3.9. NXP Semiconductors N.V.
    • 18.3.10. Texas Instruments Incorporated

LIST OF FIGURES

  • FIGURE 1. GLOBAL VISION PROCESSING UNIT MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ARCHITECTURE, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ARCHITECTURE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY END USER, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY END USER, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CORE COUNT, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CORE COUNT, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OPERATING FREQUENCY, 2024 VS 2032 (%)
  • FIGURE 11. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OPERATING FREQUENCY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEMORY INTERFACE, 2024 VS 2032 (%)
  • FIGURE 13. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEMORY INTERFACE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTION CHANNEL, 2024 VS 2032 (%)
  • FIGURE 15. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTION CHANNEL, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. AMERICAS VISION PROCESSING UNIT MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. NORTH AMERICA VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. LATIN AMERICA VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA VISION PROCESSING UNIT MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. EUROPE VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. MIDDLE EAST VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. AFRICA VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. ASIA-PACIFIC VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. ASEAN VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. GCC VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 28. EUROPEAN UNION VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 29. BRICS VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 30. G7 VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 31. NATO VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 32. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 33. VISION PROCESSING UNIT MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 34. VISION PROCESSING UNIT MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. VISION PROCESSING UNIT MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL VISION PROCESSING UNIT MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL VISION PROCESSING UNIT MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTOMOTIVE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ADVANCED DRIVER ASSISTANCE SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ADVANCED DRIVER ASSISTANCE SYSTEMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ADVANCED DRIVER ASSISTANCE SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ADVANCED DRIVER ASSISTANCE SYSTEMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ADVANCED DRIVER ASSISTANCE SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ADVANCED DRIVER ASSISTANCE SYSTEMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY AUTONOMOUS DRIVING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 2, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 2, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 2, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 2, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 2, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 2, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 3, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 3, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 3, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 3, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 3, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 3, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 4/5, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 4/5, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 4/5, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 4/5, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 4/5, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LEVEL 4/5, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFOTAINMENT SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFOTAINMENT SYSTEMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFOTAINMENT SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFOTAINMENT SYSTEMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFOTAINMENT SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFOTAINMENT SYSTEMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY VEHICLE-TO-EVERYTHING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY VEHICLE-TO-EVERYTHING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY VEHICLE-TO-EVERYTHING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY VEHICLE-TO-EVERYTHING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY VEHICLE-TO-EVERYTHING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY VEHICLE-TO-EVERYTHING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CONSUMER ELECTRONICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CONSUMER ELECTRONICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CONSUMER ELECTRONICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CONSUMER ELECTRONICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CONSUMER ELECTRONICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CONSUMER ELECTRONICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DATA CENTER, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INFERENCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD INFERENCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD INFERENCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD INFERENCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD INFERENCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD INFERENCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD INFERENCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE INFERENCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE INFERENCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE INFERENCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE INFERENCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE INFERENCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE INFERENCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TRAINING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD TRAINING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD TRAINING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD TRAINING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD TRAINING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD TRAINING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD TRAINING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ON-PREMISE TRAINING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ON-PREMISE TRAINING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ON-PREMISE TRAINING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ON-PREMISE TRAINING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ON-PREMISE TRAINING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ON-PREMISE TRAINING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HEALTHCARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HEALTHCARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HEALTHCARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INDUSTRIAL AUTOMATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INDUSTRIAL AUTOMATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INDUSTRIAL AUTOMATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INDUSTRIAL AUTOMATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INDUSTRIAL AUTOMATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INDUSTRIAL AUTOMATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ROBOTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ROBOTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ROBOTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ROBOTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ROBOTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ROBOTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SMART HOME, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SMART HOME, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SMART HOME, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SMART HOME, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SMART HOME, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SMART HOME, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SURVEILLANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SURVEILLANCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SURVEILLANCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SURVEILLANCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SURVEILLANCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SURVEILLANCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ARCHITECTURE, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ARCHITECTURE, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ASIC, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CUSTOM ASIC, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CUSTOM ASIC, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CUSTOM ASIC, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CUSTOM ASIC, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CUSTOM ASIC, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CUSTOM ASIC, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY STANDARD ASIC, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY STANDARD ASIC, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY STANDARD ASIC, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY STANDARD ASIC, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY STANDARD ASIC, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY STANDARD ASIC, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DSP, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FIXED-POINT DSP, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FIXED-POINT DSP, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FIXED-POINT DSP, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FIXED-POINT DSP, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FIXED-POINT DSP, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FIXED-POINT DSP, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FLOATING-POINT DSP, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FLOATING-POINT DSP, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FLOATING-POINT DSP, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FLOATING-POINT DSP, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FLOATING-POINT DSP, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FLOATING-POINT DSP, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY FPGA, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH-END FPGA, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH-END FPGA, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH-END FPGA, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH-END FPGA, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH-END FPGA, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH-END FPGA, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW-END FPGA, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW-END FPGA, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW-END FPGA, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW-END FPGA, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW-END FPGA, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW-END FPGA, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 209. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 211. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY GPU, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 213. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISCRETE GPU, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISCRETE GPU, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 215. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISCRETE GPU, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISCRETE GPU, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 217. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISCRETE GPU, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISCRETE GPU, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 219. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INTEGRATED GPU, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INTEGRATED GPU, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 221. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INTEGRATED GPU, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INTEGRATED GPU, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 223. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INTEGRATED GPU, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY INTEGRATED GPU, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 225. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, 2018-2024 (USD MILLION)
  • TABLE 226. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, 2025-2032 (USD MILLION)
  • TABLE 227. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 228. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 229. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 230. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 231. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 232. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY NEURAL PROCESSOR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 233. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD NPU, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 234. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD NPU, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 235. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD NPU, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 236. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD NPU, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 237. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD NPU, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 238. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CLOUD NPU, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 239. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE NPU, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 240. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE NPU, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 241. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE NPU, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 242. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE NPU, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 243. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE NPU, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 244. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY EDGE NPU, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 245. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY END USER, 2018-2024 (USD MILLION)
  • TABLE 246. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY END USER, 2025-2032 (USD MILLION)
  • TABLE 247. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 248. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 249. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 250. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 251. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 252. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY DISTRIBUTORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 253. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ODMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 254. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ODMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 255. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ODMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 256. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ODMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 257. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ODMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 258. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY ODMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 259. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, 2018-2024 (USD MILLION)
  • TABLE 260. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, 2025-2032 (USD MILLION)
  • TABLE 261. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 262. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 263. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 264. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 265. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 266. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OEMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 267. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 1 OEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 268. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 1 OEMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 269. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 1 OEMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 270. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 1 OEMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 271. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 1 OEMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 272. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 1 OEMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 273. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 2 OEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 274. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 2 OEMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 275. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 2 OEMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 276. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 2 OEMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 277. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 2 OEMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 278. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY TIER 2 OEMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 279. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SYSTEM INTEGRATORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 280. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SYSTEM INTEGRATORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 281. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SYSTEM INTEGRATORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 282. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SYSTEM INTEGRATORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 283. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SYSTEM INTEGRATORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 284. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY SYSTEM INTEGRATORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 285. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CORE COUNT, 2018-2024 (USD MILLION)
  • TABLE 286. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY CORE COUNT, 2025-2032 (USD MILLION)
  • TABLE 287. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH CORE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 288. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH CORE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 289. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH CORE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 290. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH CORE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 291. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH CORE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 292. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH CORE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 293. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW CORE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 294. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW CORE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 295. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW CORE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 296. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW CORE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 297. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW CORE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 298. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW CORE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 299. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEDIUM CORE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 300. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEDIUM CORE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 301. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEDIUM CORE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 302. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEDIUM CORE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 303. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEDIUM CORE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 304. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY MEDIUM CORE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 305. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OPERATING FREQUENCY, 2018-2024 (USD MILLION)
  • TABLE 306. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY OPERATING FREQUENCY, 2025-2032 (USD MILLION)
  • TABLE 307. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH FREQUENCY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 308. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH FREQUENCY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 309. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH FREQUENCY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 310. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH FREQUENCY, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 311. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH FREQUENCY, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 312. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY HIGH FREQUENCY, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 313. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW FREQUENCY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 314. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW FREQUENCY, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 315. GLOBAL VISION PROCESSING UNIT MARKET SIZE, BY LOW FREQUENCY, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 316. GLOBAL VISION PROCESSING UNIT MARKET SIZ