查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1567756

視覺處理單元市場 - 全球產業規模、佔有率、趨勢、機會和預測，按類型、最終用戶、地區和競爭細分，2019-2029F

Vision Processing Unit Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Type, By End User, By Region & Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

價格

We offer 8 hour analyst time for an additional research. Please contact us for the details.

簡介目錄

2023 年全球視覺處理單元市場估值為 23 億美元，預計在預測期內將強勁成長，到 2029 年複合年成長率為 17.8%。在各行業對複雜電腦視覺應用的需求不斷成長的推動下，全球視覺處理單元 (VPU) 市場正在經歷顯著成長。 VPU 因其處理複雜視覺資料、實現即時處理和分析的能力而受到關注。企業擴大將 VPU 整合到其系統中，利用其在臉部辨識、自動駕駛汽車、機器人和擴增實境等領域的功能。採用率的激增主要歸功於人工智慧和機器學習的進步，這促進了基於視覺的創新解決方案的發展。物聯網（IoT）設備的激增以及對高效影像和視訊處理的需求進一步推動了市場擴張。科技巨頭和新創公司都在 VPU 研發上投入巨資，推動競爭並促進技術突破。因此，全球視覺處理單元市場可望持續成長，為電腦視覺技術領域的企業提供利潤豐厚的機會。

市場概況
預測期 2025-2029
2023 年市場規模 23億美元
2029 年市場規模 62億美元
2024-2029 年複合年成長率 17.8%
成長最快的細分市場 安全與監控
最大的市場 亞太地區

主要市場促進因素

人工智慧和機器學習的進步

物聯網 (IoT) 設備的激增

對邊緣運算的需求不斷成長

自動駕駛汽車產業的成長

醫療保健和醫學影像的採用率不斷提高

主要市場挑戰

技術複雜性和整合障礙

電源效率和熱管理

安全和隱私問題

市場分散化與競爭

主要市場趨勢

視覺處理中邊緣人工智慧和邊緣運算的興起

人工智慧驅動的機器人和自動化的擴展

擴增實境 (AR) 與虛擬實境 (VR) 應用

深度學習與神經網路的進步

VPU 在智慧家庭設備中的整合

細分市場洞察

最終使用者見解

區域洞察

目錄

第 1 章：產品概述

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：COVID-19 對全球視覺處理單元市場的影響

第 5 章：客戶之聲

第 6 章：全球視覺處理單元市場概述

第 7 章：全球視覺處理單元市場展望

  • 市場規模及預測
    • 按價值
  • 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）
    • 按最終用戶（消費性電子、汽車、安全性和監控、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2023)
  • 市場地圖

第 8 章：北美視覺處理單元市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 9 章：歐洲視覺處理單元市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 比利時

第 10 章：南美洲視覺處理單元市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷
    • 智利
    • 秘魯

第 11 章：中東和非洲視覺處理單元市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 土耳其
    • 以色列

第 12 章：亞太地區視覺處理單元市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 印尼
    • 越南

第 13 章：市場動態

  • 促進要素
  • 挑戰

第 14 章：市場趨勢與發展

第 15 章：公司簡介

  • 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章調查會社について,免責事項

簡介目錄
Product Code: 20808

Global Vision Processing Unit Market was valued at USD 2.3 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 17.8% through 2029F. The Global Vision Processing Unit (VPU) Market is experiencing significant growth, propelled by the burgeoning demand for sophisticated computer vision applications across diverse industries. VPUs have gained prominence owing to their ability to handle complex visual data, enabling real-time processing and analysis. Businesses are increasingly integrating VPUs into their systems, leveraging their capabilities in areas such as facial recognition, autonomous vehicles, robotics, and augmented reality. This surge in adoption is primarily attributed to advancements in artificial intelligence and machine learning, which have bolstered the development of innovative vision-based solutions. The proliferation of Internet of Things (IoT) devices and the need for efficient image and video processing have further fueled the market expansion. Tech giants and startups alike are investing heavily in VPU research and development, driving competition and fostering technological breakthroughs. As a result, the Global Vision Processing Unit Market is poised for continued growth, offering lucrative opportunities for businesses operating in the realm of computer vision technologies.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 2.3 Billion
Market Size 2029USD 6.20 Billion
CAGR 2024-202917.8%
Fastest Growing SegmentSecurity and Surveillance
Largest MarketAsia Pacific

Key Market Drivers

Advancements in Artificial Intelligence and Machine Learning

The rapid progress in artificial intelligence (AI) and machine learning (ML) technologies stands as a pivotal driver propelling the Global Vision Processing Unit (VPU) Market. As AI and ML algorithms become increasingly complex and data-intensive, the demand for specialized hardware capable of handling these intricate computations has surged. VPUs, designed specifically to accelerate neural network-based tasks, have emerged as the cornerstone technology. These units process vast amounts of visual data at unparalleled speeds, enabling real-time decision-making in applications like image and speech recognition, autonomous vehicles, and facial analysis. The synergy between AI/ML advancements and VPUs empowers businesses to develop innovative solutions, driving market growth. The integration of VPUs into AI-driven devices enhances efficiency and accuracy, fostering a thriving ecosystem of smart applications and services.

Proliferation of Internet of Things (IoT) Devices

The proliferation of Internet of Things (IoT) devices has become a catalyst for the Global Vision Processing Unit (VPU) Market. With the increasing interconnectedness of devices, there's a growing need for efficient processing of visual data in real-time. VPUs, optimized for low-power consumption and high-performance computing, have found extensive applications in IoT devices such as smart cameras, drones, and wearable gadgets. These units enable IoT devices to analyze images and videos locally, reducing the need for transmitting massive data volumes to the cloud. By enhancing the processing capabilities of IoT devices, VPUs not only conserve bandwidth but also enhance response time, contributing significantly to the market's expansion. As the IoT ecosystem continues to expand, the demand for VPUs in IoT applications is poised to grow, driving market dynamics.

Rising Demand for Edge Computing

The rising demand for edge computing solutions has emerged as a prominent driver in the Global Vision Processing Unit (VPU) Market. Edge computing involves processing data closer to the source of generation, reducing latency and improving real-time decision-making. VPUs play a pivotal role in edge devices by enabling on-device image and video processing without relying heavily on cloud resources. This capability is crucial for applications like smart surveillance cameras, industrial automation, and retail analytics, where real-time insights are paramount. By integrating VPUs into edge devices, businesses can achieve higher efficiency, lower operational costs, and enhanced security, thus fueling the adoption of VPUs in edge computing environments. The trend toward edge computing is expected to escalate, further boosting the demand for VPUs in various sectors.

Growth in Autonomous Vehicles Industry

The rapid growth of the autonomous vehicles industry stands as a significant driver propelling the Global Vision Processing Unit (VPU) Market. Autonomous vehicles heavily rely on computer vision technologies to perceive and interpret the surrounding environment. VPUs, with their ability to process large volumes of visual data in real-time, are instrumental in enabling autonomous vehicles to make split-second decisions, enhancing safety and navigation. These units facilitate tasks such as object recognition, lane detection, and pedestrian tracking, ensuring the vehicle's ability to respond to dynamic road conditions. With the continual advancements in autonomous vehicle technology and the push toward self-driving cars, the demand for VPUs in this sector is poised to escalate, driving market growth.

Increasing Adoption in Healthcare and Medical Imaging

The increasing adoption of Vision Processing Units (VPUs) in the healthcare and medical imaging sector serves as a vital driver for the global VPU market. VPUs are revolutionizing the field of medical imaging by enabling faster and more accurate analysis of medical images such as X-rays, MRIs, and CT scans. These units accelerate image processing tasks, allowing healthcare professionals to diagnose conditions swiftly and efficiently. VPUs find applications in telemedicine, remote patient monitoring, and surgical robotics, enhancing the overall quality of healthcare services. The demand for VPUs in healthcare is driven by the need for advanced imaging technologies, which are essential for early and precise diagnosis, treatment planning, and research. As the healthcare industry continues to embrace digital transformation, the adoption of VPUs is expected to rise, fueling market growth in this sector.

Key Market Challenges

Technical Complexity and Integration Hurdles

One of the primary challenges faced by the Global Vision Processing Unit (VPU) Market is the intricate technical nature of these units and the associated integration hurdles. VPUs are highly specialized processors designed to handle complex visual data and execute intricate algorithms efficiently. Integrating these units into existing systems or designing new devices around them requires a deep understanding of both hardware and software intricacies. Compatibility issues often arise when VPUs need to interact seamlessly with other components, like central processing units (CPUs) or graphics processing units (GPUs). Developing applications that can fully leverage the capabilities of VPUs demands expertise in parallel processing, neural networks, and computer vision algorithms. Companies often face challenges in finding skilled engineers capable of handling the technical intricacies involved in VPU integration. Ensuring that VPUs work seamlessly with different operating systems and software frameworks adds another layer of complexity. Overcoming these technical hurdles necessitates continuous research, collaboration between hardware and software developers, and investments in training and development to address the shortage of skilled professionals in this specialized field.

Power Efficiency and Heat Management

Power efficiency and heat management pose significant challenges in the Global Vision Processing Unit (VPU) Market. As VPUs are deployed in diverse applications ranging from mobile devices and drones to edge servers, power consumption becomes a critical concern. Energy-efficient operation is essential, especially in battery-powered devices, where prolonged usage without frequent recharging is expected. VPUs, while offering high processing power, often require substantial energy, impacting the overall device battery life. The intensive computations performed by VPUs generate heat, which, if not managed effectively, can lead to thermal throttling, reducing performance and longevity. Efficient cooling solutions are crucial to maintaining optimal VPU performance, especially in compact devices where space constraints limit the implementation of elaborate cooling mechanisms. Balancing the need for high processing power with power efficiency and effective heat dissipation remains a constant challenge for VPU manufacturers, demanding continuous innovation in thermal design and power management techniques.

Security and Privacy Concerns

Security and privacy concerns represent a significant challenge for the Global Vision Processing Unit (VPU) Market, particularly in applications involving sensitive data or personal information. With the proliferation of AI-driven devices and smart cameras, there's an increasing risk of unauthorized access and data breaches. Malicious actors might exploit vulnerabilities in VPUs or associated software to gain access to visual data, leading to privacy violations or misuse of sensitive information. Moreover, the potential misuse of facial recognition technology powered by VPUs raises ethical concerns, such as unauthorized surveillance or profiling. Addressing these challenges requires robust encryption techniques, secure authentication protocols, and continuous software updates to patch vulnerabilities. Adherence to strict privacy regulations and standards, along with transparent data usage policies, is crucial to building trust among consumers and ensuring the responsible deployment of VPUs in various applications.

Market Fragmentation and Competition

Market fragmentation and intense competition are significant challenges faced by the Global Vision Processing Unit (VPU) Market. The industry is characterized by a multitude of players, including established semiconductor companies, startups, and niche hardware developers, each offering their specialized VPU solutions. This diversity leads to a fragmented market with various architectures, performance levels, and pricing structures. For consumers and businesses looking to adopt VPUs, navigating through this complex landscape to identify the most suitable solution for their specific needs becomes challenging. The constant innovation and rapid advancements in VPU technology lead to a competitive environment where companies must continuously invest in research and development to stay ahead. This competition not only drives innovation but also poses challenges in terms of differentiation and market positioning. Establishing a strong market presence, building brand reputation, and ensuring consistent product quality become crucial factors for companies striving to succeed in this fiercely competitive landscape.

Key Market Trends

Rise of Edge AI and Edge Computing in Vision Processing

One of the prominent trends shaping the Global Vision Processing Unit (VPU) Market is the rise of Edge AI and edge computing. Edge AI involves deploying artificial intelligence algorithms directly on edge devices, enabling real-time data processing without relying on centralized cloud servers. VPUs, with their capability to handle complex visual data, play a pivotal role in this trend. By integrating VPUs into edge devices like smart cameras, drones, and IoT sensors, businesses can achieve faster data processing, reduced latency, and enhanced privacy as sensitive data remains localized. This trend is particularly significant in applications such as autonomous vehicles, smart surveillance, and industrial automation, where instant decision-making based on visual inputs is critical. The convergence of VPUs and edge computing not only improves efficiency but also opens doors to innovative applications, driving the demand for VPUs in the market.

Expansion of AI-powered Robotics and Automation

The expansion of AI-powered robotics and automation is a key market trend fueling the demand for Vision Processing Units (VPUs). Robotics and automation systems increasingly rely on computer vision technologies for tasks such as object recognition, navigation, and grasping. VPUs, with their ability to process visual data in real-time, are instrumental in enhancing the perception capabilities of robots. Whether in manufacturing, logistics, or service sectors, AI-driven robots equipped with VPUs can adapt to dynamic environments, leading to increased efficiency and productivity. This trend is driven by the need for more flexible and adaptable automation solutions in various industries, propelling the integration of VPUs into robotic systems and automation equipment.

Augmented Reality (AR) and Virtual Reality (VR) Applications

The surge in Augmented Reality (AR) and Virtual Reality (VR) applications is a significant market trend driving the adoption of Vision Processing Units (VPUs). AR and VR technologies rely heavily on computer vision for immersive user experiences. VPUs, equipped with high-performance image processing capabilities, enable real-time tracking of movements, gestures, and facial expressions, enhancing the overall quality of AR and VR applications. Whether in gaming, healthcare, education, or enterprise settings, VPUs are essential components in AR and VR devices, ensuring seamless interaction between the virtual and real worlds. The increasing consumer interest in immersive experiences and the enterprise demand for AR and VR training solutions are fueling the growth of this trend, leading to a higher demand for VPUs in the market.

Advancements in Deep Learning and Neural Networks

Advancements in deep learning and neural networks represent a significant market trend driving the evolution of Vision Processing Units (VPUs). Deep learning algorithms, particularly convolutional neural networks (CNNs), have revolutionized computer vision tasks by enabling more accurate image recognition, segmentation, and feature extraction. VPUs, designed to accelerate neural network computations, are at the forefront of this technological revolution. As deep learning models become more complex and sophisticated, the demand for VPUs capable of handling these intricate calculations rises. This trend is fueled by continuous research and development in the field of AI, leading to the creation of advanced neural network architectures and algorithms. VPUs equipped with these cutting-edge capabilities are instrumental in applications such as facial recognition, autonomous vehicles, and medical imaging, driving market growth and innovation in the VPU industry.

Integration of VPUs in Smart Home Devices

The integration of Vision Processing Units (VPUs) in smart home devices is a notable market trend that is reshaping the consumer electronics landscape. Smart home devices, including security cameras, doorbell cameras, and home monitoring systems, increasingly utilize computer vision for functions like motion detection, object recognition, and facial analysis. VPUs enable these devices to process visual data locally, reducing dependence on cloud services and enhancing user privacy. With the rising consumer demand for intelligent and secure home automation solutions, the market for VPUs in smart home devices is expanding rapidly. Integrating VPUs in these devices not only improves their functionality but also ensures a seamless and responsive user experience.

Segmental Insights

End User Insights

The automotive segment dominated the Global Vision Processing Unit (VPU) market and is expected to maintain its dominance during the forecast period. The automotive industry has been a key driver of the VPU market due to the increasing adoption of advanced driver assistance systems (ADAS) and autonomous driving technologies. VPUs play a critical role in enabling real-time image and video processing, object detection, and recognition, which are essential for enhancing vehicle safety and enabling autonomous driving capabilities. The dominance of the automotive segment can be attributed to several factors. There is a growing demand for ADAS features in vehicles, driven by the increasing focus on road safety and the development of autonomous driving technologies. VPUs are integral to ADAS systems as they enable the processing of visual data from cameras and sensors, allowing for the detection of objects, pedestrians, and road signs, and providing real-time feedback to the driver. Regulatory bodies across the globe are implementing stringent safety standards and regulations, mandating the inclusion of ADAS features in vehicles. European Union has made it mandatory for all new vehicles to be equipped with advanced safety features such as autonomous emergency braking and lane-keeping assist systems. This regulatory push is driving the adoption of VPUs in the automotive industry. Automotive manufacturers are increasingly investing in research and development to enhance autonomous driving capabilities. VPUs are crucial for processing the vast amount of visual data required for autonomous driving, enabling vehicles to perceive and interpret their surroundings accurately. As the race towards fully autonomous vehicles intensifies, the demand for VPUs in the automotive sector is expected to grow significantly. Looking ahead, the automotive segment is expected to maintain its dominance in the VPU market during the forecast period. The continued advancements in autonomous driving technologies, the increasing adoption of electric vehicles, and the ongoing research and development efforts to enhance ADAS capabilities will further drive the demand for VPUs in the automotive industry. The integration of VPUs with other emerging technologies such as artificial intelligence and machine learning will unlock new possibilities for automotive applications, solidifying the automotive segment's position as the dominant segment in the Global VPU market.

Regional Insights

Asia-Pacific region emerging as the dominant force in this industry. Countries like China, Japan, South Korea, and India played a pivotal role in driving this growth, owing to their robust manufacturing capabilities, technological advancements, and increasing investments in artificial intelligence and computer vision technologies. The Asia-Pacific region's dominance in the VPU market was further fueled by the rising demand for advanced vision processing solutions across various sectors, including automotive, healthcare, consumer electronics, and industrial applications. This trend is expected to continue during the forecast period due to ongoing technological innovations, supportive government policies, and a thriving ecosystem of semiconductor and electronics industries in the region. Moreover, the rapid adoption of VPU-powered devices, such as smartphones, smart cameras, and autonomous vehicles, in Asian markets has contributed to the region's stronghold in the global VPU market. As a result, the Asia-Pacific region is anticipated to maintain its dominance, leveraging its technological expertise and market demand, thereby shaping the future landscape of the global Vision Processing Unit industry.

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
    • Belgium
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Vietnam
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Turkey
    • Israel

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. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Vision Processing Unit Market

5. Voice of Customer

6. Global Vision Processing Unit Market Overview

7. Global 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 (Drones, ADAS, Smartphones, Cameras, AR/VR, Robotics, Wearables)
    • 7.2.2. By End User (Consumer Electronics, Automotive, Security and Surveillance, Others)
    • 7.2.3. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 7.3. By Company (2023)
  • 7.4. Market Map

8. North America 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. North America: Country Analysis
    • 8.3.1. United States 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. Canada 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. Mexico 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

9. Europe 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. Europe: Country Analysis
    • 9.3.1. Germany 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. France 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. United Kingdom 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
    • 9.3.4. Italy Vision Processing Unit Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Type
        • 9.3.4.2.2. By End User
    • 9.3.5. Spain Vision Processing Unit Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Type
        • 9.3.5.2.2. By End User
    • 9.3.6. Belgium Vision Processing Unit Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Type
        • 9.3.6.2.2. 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
    • 10.3.4. Chile Vision Processing Unit Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Type
        • 10.3.4.2.2. By End User
    • 10.3.5. Peru Vision Processing Unit Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Type
        • 10.3.5.2.2. By End User

11. Middle East & Africa Vision Processing Unit Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Type
    • 11.2.2. By End User
    • 11.2.3. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Vision Processing Unit Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Type
        • 11.3.1.2.2. By End User
    • 11.3.2. UAE Vision Processing Unit Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Type
        • 11.3.2.2.2. By End User
    • 11.3.3. South Africa Vision Processing Unit Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Type
        • 11.3.3.2.2. By End User
    • 11.3.4. Turkey Vision Processing Unit Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Type
        • 11.3.4.2.2. By End User
    • 11.3.5. Israel Vision Processing Unit Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Type
        • 11.3.5.2.2. By End User

12. Asia Pacific Vision Processing Unit Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Share & Forecast
    • 12.2.1. By Type
    • 12.2.2. By End User
    • 12.2.3. By Country
  • 12.3. Asia-Pacific: Country Analysis
    • 12.3.1. China Vision Processing Unit Market Outlook
      • 12.3.1.1. Market Size & Forecast
        • 12.3.1.1.1. By Value
      • 12.3.1.2. Market Share & Forecast
        • 12.3.1.2.1. By Type
        • 12.3.1.2.2. By End User
    • 12.3.2. India Vision Processing Unit Market Outlook
      • 12.3.2.1. Market Size & Forecast
        • 12.3.2.1.1. By Value
      • 12.3.2.2. Market Share & Forecast
        • 12.3.2.2.1. By Type
        • 12.3.2.2.2. By End User
    • 12.3.3. Japan Vision Processing Unit Market Outlook
      • 12.3.3.1. Market Size & Forecast
        • 12.3.3.1.1. By Value
      • 12.3.3.2. Market Share & Forecast
        • 12.3.3.2.1. By Type
        • 12.3.3.2.2. By End User
    • 12.3.4. South Korea Vision Processing Unit Market Outlook
      • 12.3.4.1. Market Size & Forecast
        • 12.3.4.1.1. By Value
      • 12.3.4.2. Market Share & Forecast
        • 12.3.4.2.1. By Type
        • 12.3.4.2.2. By End User
    • 12.3.5. Australia Vision Processing Unit Market Outlook
      • 12.3.5.1. Market Size & Forecast
        • 12.3.5.1.1. By Value
      • 12.3.5.2. Market Share & Forecast
        • 12.3.5.2.1. By Type
        • 12.3.5.2.2. By End User
    • 12.3.6. Indonesia Vision Processing Unit Market Outlook
      • 12.3.6.1. Market Size & Forecast
        • 12.3.6.1.1. By Value
      • 12.3.6.2. Market Share & Forecast
        • 12.3.6.2.1. By Type
        • 12.3.6.2.2. By End User
    • 12.3.7. Vietnam Vision Processing Unit Market Outlook
      • 12.3.7.1. Market Size & Forecast
        • 12.3.7.1.1. By Value
      • 12.3.7.2. Market Share & Forecast
        • 12.3.7.2.1. By Type
        • 12.3.7.2.2. By End User

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. Intel Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel/Key Contact Person
    • 15.1.5. Key Product/Services Offered
  • 15.2. NVIDIA Corporation
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel/Key Contact Person
    • 15.2.5. Key Product/Services Offered
  • 15.3. Google LLC
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel/Key Contact Person
    • 15.3.5. Key Product/Services Offered
  • 15.4. Advanced Micro Devices, Inc.
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel/Key Contact Person
    • 15.4.5. Key Product/Services Offered
  • 15.5. Qualcomm Technologies, Inc.
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel/Key Contact Person
    • 15.5.5. Key Product/Services Offered
  • 15.6. Samsung Electronics Co., Ltd.
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel/Key Contact Person
    • 15.6.5. Key Product/Services Offered
  • 15.7. MediaTek Inc.
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel/Key Contact Person
    • 15.7.5. Key Product/Services Offered
  • 15.8. Ambarella, International LP.
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel/Key Contact Person
    • 15.8.5. Key Product/Services Offered
  • 15.9. Huawei Technologies Co., Ltd.
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel/Key Contact Person
    • 15.9.5. Key Product/Services Offered
  • 15.10. Cadence Design Systems, Inc.
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel/Key Contact Person
    • 15.10.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer