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市場調查報告書
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1370785

電腦視覺市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按組件、產品類型、按應用、垂直領域、地區和競爭細分

Computer Vision Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F Segmented By Component, By Product Type, By Application, By Vertical, By Region and Competition
出版日期: | 出版商: TechSci Research | 英文 189 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計全球電腦視覺市場在預測期內將以健康的年複合成長率成長。電腦視覺是人工智慧的一個分支，它使電腦能夠看到、理解和處理視覺訊息。電腦視覺是一種多功能技術，可應用於醫療保健、製造和零售等許多領域。例如，它可用於識別和驗證圖像或影片中的人臉。這可用於安全目的，例如用於存取控制的臉部辨識或社交媒體應用程式，例如在照片中標記朋友。電腦視覺可以幫助自動駕駛車輛感知周圍環境，偵測障礙物、交通標誌、行人和其他車輛，並安全且有效率地導航。電腦視覺可以幫助醫生和放射科醫生診斷疾病、檢測腫瘤、測量器官和組織以及進行手術。它可以用圖形、聲音、文字和視訊等數位資訊擴增實境世界，可用於遊戲、教育、旅遊等。電腦視覺可以使機器人和機器執行需要視覺檢查的任務，例如品質控制、缺陷檢測、分類和包裝。電腦視覺是一個具有挑戰性的領域，需要解決許多複雜的問題。最具挑戰性的問題之一是從相機或感測器捕獲高品質影像或影片。這是因為影像或視訊可能會受到光照、雜訊、失真和遮蔽等因素的影響。電腦視覺系統需要對影像或影片進行預處理，以提高其品質、減小其尺寸並提取有用的特徵以進行進一步分析。電腦視覺系統需要使用各種方法來解釋圖像或影片，例如分割、分類、檢測、識別和追蹤。電腦視覺系統需要使用場景理解、物件辨識、臉部辨識和自然語言處理等技術來理解圖像或影片的含義和上下文。電腦視覺是一個快速發展的領域，依賴許多技術和工具，例如機器學習、深度學習和影像處理。深度學習是機器學習的子集，它使用人工神經網路從大量資料中學習並執行複雜的任務。深度學習已廣泛應用於影像分類、目標偵測和人臉辨識等電腦視覺任務。 OpenCV 是一個開源軟體，為電腦視覺提供了一整套功能和演算法。 OpenCV支援C++、Python、Java等多種程式語言，可以運行在Windows、Linux、Android等多種平台上。 TensorFlow 是一個開源平台，為建構和部署機器學習模型提供了平台。 TensorFlow支援Python、C++等多種程式語言，可以運作在CPU、GPU、TPU等多種裝置上。電腦視覺是一個令人著迷且重要的領域，為社會和人類帶來許多好處。然而，電腦視覺也帶來了一些需要仔細解決的倫理和社會問題。例如，電腦視覺可以在未經人們同意或不知情的情況下捕捉人們的臉部、位置、活動和偏好，從而侵犯人們的隱私。這可能導致身份盜竊、監視、濫用或歧視。電腦視覺可能會因其訓練資料或使用的演算法而產生偏差。這可能會導致某些人群因性別、種族或年齡而產生不公平或不準確的結果。電腦視覺可以對人們的生活和福祉產生重大影響。

使用視覺引導系統的機器人取得的快速進步正在推動市場成長

電腦視覺是人工智慧 (AI) 的一個領域，它使電腦和系統能夠從數位影像、視訊和其他視覺輸入中獲取有意義的資訊，並根據該資訊採取行動或提出建議。電腦視覺最有前途和創新的應用之一是機器人技術。機器人可以使用電腦視覺來感知周圍環境、識別物體、自主導航、操縱物品並執行複雜的任務。視覺引導系統是一種電腦視覺技術，允許機器人使用攝影機和感測器作為輸入與其環境進行互動。視覺引導系統可以分為兩類：2D 和 3D。 2D 視覺引導系統使用傳統相機捕捉場景影像，並使用演算法對其進行處理以檢測特徵、邊緣、形狀、顏色等。2D 視覺引導系統適用於需要簡單物件識別和對齊的任務，例如拾取物品並將其放置在傳送帶上。 3D 視覺引導系統使用立體相機、結構光或雷射掃描器來捕捉場景的深度資訊並創建環境的 3D 模型。 3D 視覺引導系統可以處理需要精確的物件偵測、定位、定向和姿態估計的更複雜的任務，例如組裝零件或拆垛盒子。

市場概況
預測期 2024-2028
2022 年市場規模 156.5億美元
2028 年市場規模 427.9億美元
2023-2028 年年複合成長率 18.21%
成長最快的細分市場 軟體
最大的市場 北美洲

3D 視覺引導系統的一個例子是 KEYENCE 的 3D 視覺引導機器人系統，該系統專為無與倫比的物體檢測能力和易用性而設計。該系統可用於組裝、卸垛和機器維護過程的自動化。為了收集 3D資料，當高速投影機在目標上發射多個條紋光圖案時，四個相機、一個投影機成像單元總共捕捉 136 個影像。使用者遵循簡單的設定流程，包括自動機器人相機校準。

電動車需求的成長正在推動市場成長

隨著電動車變得越來越流行，電腦視覺在電動車的發展中發揮越來越重要的作用。電腦視覺可用於電動車中的各種應用，例如自動駕駛、駕駛員輔助、安全、導航和娛樂。推動電動車電腦視覺需求的主要因素之一是自動駕駛的需求。自動駕駛是指車輛在沒有人工干涉的情況下運作的能力，使用感測器、攝影機和軟體來偵測周圍環境並做出反應。自動駕駛可以為電動車帶來許多好處，例如減少排放、提高效率、增強安全性以及節省時間和金錢。推動電動車電腦視覺需求的另一個因素是駕駛輔助的需求。駕駛輔助是指利用電腦視覺系統協助駕駛者完成各種任務，例如停車、車道維持、避免碰撞、交通標誌識別和盲點偵測。駕駛員輔助可以幫助提高電動車的性能和安全性，並為駕駛員和乘客提供便利和舒適。推動電動車電腦視覺需求的第三個因素是安全需求。安全是指使用電腦視覺系統來監控和保護車輛及其乘員免受各種危險，例如盜竊、故意破壞、火災和事故。安全性可以幫助防止或減輕電動車的損壞和傷害，並為車主和使用者提供安心和安全。

總之，電動車需求的不斷成長正在推動全球電腦視覺市場的發展。電腦視覺在電動車中有許多應用，可以為使用者和社會帶來各種好處。隨著技術的進步和消費者偏好的變化，電腦視覺將在塑造移動出行的未來方面發揮越來越重要的作用。

市場區隔

根據組件，市場分為硬體和軟體。根據產品類型，市場分為基於智慧相機和基於PC的市場。根據應用，市場進一步分為品質保證和檢測、定位和引導、測量、識別、3D 視覺化和互動式 3D 建模以及預測性維護。基於垂直，市場進一步分為工業和非工業。市場分析也研究區域細分，以設計區域市場細分，分為北美、歐洲、亞太地區、南美以及中東和非洲。

公司簡介

Alphabet Inc.、Cognex Corporation、Intel Corporation、Keyence Corporation、Matterport, Inc.、National Instruments Corp.、Omron Corporation、Sony Group Corporation、Teledyne Technologies Inc. 和 Texas Instruments Incorporated。是推動全球電腦視覺市場成長的主要參與者之一。

報告範圍：

在本報告中，除了以下詳細介紹的產業趨勢外，全球電腦視覺市場還分為以下幾類：

電腦視覺市場，按組成部分：

  • 硬體
  • 軟體

電腦視覺市場，依產品類型：

  • 基於智慧相機
  • 基於PC

電腦視覺市場，按應用：

  • 品質保證與檢驗
  • 定位引導
  • 測量
  • 鑑別
  • 3D 視覺化和互動式 3D 建模
  • 預測性維護

電腦視覺市場，按垂直領域：

  • 工業的
  • 非工業

電腦視覺市場（按地區）：

  • 亞太
  • 中國
  • 日本
  • 印度
  • 澳洲
  • 韓國
  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 西班牙
  • 義大利
  • 中東和非洲
  • 以色列
  • 土耳其
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞

競爭格局

  • 公司簡介：全球電腦視覺市場主要公司的詳細分析。

可用的客製化：

  • 根據給定的市場資料，TechSci Research 可根據公司的具體需求提供客製化服務。該報告可以使用以下自訂選項：

公司資訊

  • 其他市場參與者（最多五個）的詳細分析和概況分析。

目錄

第 1 章：產品概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

  • 研究目的
  • 基線方法
  • 主要產業夥伴
  • 主要協會和二手資料來源
  • 預測方法
  • 數據三角測量與驗證
  • 假設和限制

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球電腦視覺市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（軟體和硬體）
    • 按產品類型（基於智慧相機和基於 PC）
    • 按應用（品質保證和檢測、定位和引導、測量、識別、3D 視覺化和互動式 3D 建模、預測性維護）
    • 按垂直行業（工業和非工業）
    • 按地區
  • 按公司分類 (2022)
  • 市場地圖

第 6 章：北美電腦視覺市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依產品類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 7 章：亞太電腦視覺市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依產品類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 日本
    • 韓國
    • 印度
    • 澳洲

第 8 章：歐洲電腦視覺市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依產品類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙

第 9 章：南美洲電腦視覺市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依產品類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 10 章：中東和非洲電腦視覺市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 依產品類型
    • 按應用
    • 按垂直方向
    • 按國家/地區
  • 中東和非洲：國家分析
    • 以色列
    • 土耳其
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯

第 11 章：市場動態

  • 促進要素
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • 字母公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 康耐視公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 英特爾公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 基恩士公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 馬特波特公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 美國國家儀器公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 歐姆龍公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 索尼集團公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • Teledyne 科技公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered
  • 德州儀器公司
    • Business Overview
    • Key Revenue (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Service Offered

第 14 章：策略建議

第 15 章：關於我們與免責聲明

（註：公司名單可依客戶要求客製化。）

簡介目錄
Product Code: 15580

Global computer vision market is expected to grow at a healthy CAGR during the forecast period. Computer vision is a branch of artificial intelligence that enables computers to see, understand, and process visual information. Computer vision is a versatile technology with applications in many domains such as healthcare, manufacturing, and retail. For example, it can be used to identify and verify people's faces from images or videos. This can be used for security purposes, such as facial recognition for access control or for social media applications, such as tagging friends in photos. Computer vision can help autonomous vehicles to perceive their surroundings, detect obstacles, traffic signs, pedestrians, and other vehicles, and navigate safely and efficiently. Computer vision can assist doctors and radiologists in diagnosing diseases, detecting tumors, measuring organs and tissues, and performing surgeries. It can enhance the real world with digital information, such as graphics, sounds, texts, and videos, which can be used for gaming, education, tourism, and more. Computer vision can enable robots and machines to perform tasks that require visual inspection, such as quality control, defect detection, sorting, and packaging. Computer vision is a challenging field that requires solving many complex problems. One of the most challenging problems is capturing high-quality images or videos from cameras or sensors. This is because the images or videos can be affected by factors such as lighting, noise, distortion, and occlusion. Computer vision systems need to pre-process the images or videos to enhance their quality, reduce their size, and extract useful features for further analysis. Computer vision systems need to interpret the images or videos using various methods, such as segmentation, classification, detection, recognition, and tracking. Computer vision systems need to understand the meaning and context of the images or videos using techniques such as scene understanding, object recognition, face recognition, and natural language processing. Computer vision is a rapidly evolving field that relies on many technologies and tools, such as machine learning, deep learning, and image processing. Deep learning is a subset of machine learning that uses artificial neural networks to learn from large amounts of data and perform complex tasks. Deep learning has been widely used for computer vision tasks such as image classification, object detection, and face recognition. OpenCV is an open source that provides a comprehensive set of functions and algorithms for computer vision. OpenCV supports various programming languages such as C++, Python, and Java, and can run on various platforms such as Windows, Linux, and Android. TensorFlow is an open source provides a platform for building and deploying machine learning models. TensorFlow supports various programming languages such as Python and C++, and can run on various devices such as CPUs, GPUs, and TPUs. Computer vision is a fascinating and important field that has many benefits for society and humanity. However, computer vision also poses some ethical and social issues that need to be addressed carefully. For example, computer vision can invade people's privacy by capturing their faces, locations, activities, and preferences without their consent or knowledge. This can lead to identity theft, surveillance, abuse, or discrimination. Computer vision can be biased by the data it is trained on or the algorithms it uses. This can result in unfair or inaccurate outcomes for certain groups of people based on their gender, race, or age. Computer vision can have significant impacts on people's lives and well-being.

Rapid Advancements Made in Robots Using Vision-guided Systems Is Fueling the Market Growth

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs and take actions or make recommendations based on that information. One of the most promising and innovative applications of computer vision is in robotics. Robots can use computer vision to perceive their surroundings, recognize objects, navigate autonomously, manipulate items, and perform complex tasks. Vision-guided systems are a type of computer vision technology that allow robots to interact with their environment using cameras and sensors as inputs. Vision-guided systems can be classified into two categories: 2D and 3D. 2D vision-guided systems use conventional cameras to capture images of the scene and process them using algorithms to detect features, edges, shapes, colors, etc. 2D vision-guided systems are suitable for tasks that require simple object recognition and alignment, such as picking and placing items on a conveyor belt. 3D vision-guided systems use stereo cameras, structured light, or laser scanners to capture depth information of the scene and create a 3D model of the environment. 3D vision-guided systems can handle more complex tasks that require accurate object detection, localization, orientation, and pose estimation, such as assembling parts or de-palletizing boxes.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 15.65 Billion
Market Size 2028USD 42.79 Billion
CAGR 2023-202818.21%
Fastest Growing SegmentSoftware
Largest MarketNorth America

One example of a 3D vision-guided system is the 3D vision-guided robotics system from KEYENCE, which is designed for unparalleled object detection capability and ease-of-use. This system can be used in the automation of assembly, de-palletizing, and machine tending processes. To gather 3D data, the four-camera, one-projector imaging unit captures 136 total images as the high-speed projector emits multiple striped-light patterns across the target. The user follows a simple setup process, including automatic robot-camera calibration.

Vision-guided systems enable robots to perform tasks that were previously impossible or impractical for humans or machines. They also reduce the need for expensive and time-consuming fixtures, templates, or markers that are used to guide robots in traditional methods. Vision-guided systems can adapt to changes in the environment or the task without requiring manual intervention or reprogramming. Vision-guided systems also improve the quality and consistency of the output by minimizing errors and defects.

As robots become more intelligent and capable with the help of computer vision, they will be able to take on more roles and responsibilities in various domains. This will create new opportunities and challenges for businesses and consumers alike. Vision-guided systems are not only fueling the market for computer vision but also transforming the future of robotics.

Rising demand for EVs is Driving the Market Growth

As EVs become more popular, computer vision is playing an increasingly important role in their development. Computer vision can be used for a variety of applications in EVs, such as autonomous driving, driver assistance, safety, navigation, and entertainment. One of the main factors that is driving the demand for computer vision in EVs is the need for autonomous driving. Autonomous driving refers to the ability of a vehicle to operate without human intervention, using sensors, cameras, and software to detect and respond to the surrounding environment. Autonomous driving can offer many benefits for EVs, such as reducing emissions, improving efficiency, enhancing safety, and saving time and money. Another factor that is boosting the demand for computer vision in EVs is the need for driver assistance. Driver assistance refers to the use of computer vision systems to assist drivers in various tasks, such as parking, lane keeping, collision avoidance, traffic sign recognition, and blind spot detection. Driver assistance can help improve the performance and safety of EVs, as well as provide convenience and comfort for drivers and passengers. A third factor that is fuelling the demand for computer vision in EVs is the need for safety. Safety refers to the use of computer vision systems to monitor and protect the vehicle and its occupants from various hazards, such as theft, vandalism, fire, and accidents. Safety can help prevent or mitigate damage and injury for EVs, as well as provide peace of mind and security for owners and users.

In conclusion, the rising demand for EVs is driving the global computer vision market. Computer vision has many applications in EVs that can offer various benefits for users and society. As technology advances and consumer preferences change, computer vision will play an increasingly important role in shaping the future of mobility.

Market Segmentation

Based on components, the market is segmented into hardware and software. Based on product type, the market is segmented into smart camera-based and PC-based. Based on application, the market is further bifurcated into quality assurance & inspection, positioning & guidance, measurement, identification, 3D visualization & interactive 3D modelling, and predictive maintenance. Based on vertical, the market is further split into industrial and non-industrial. The market analysis also studies the regional segmentation to devise regional market segmentation, divided among North America, Europe, Asia-Pacific, South America, and Middle East & Africa.

Company Profiles

Alphabet Inc., Cognex Corporation, Intel Corporation, Keyence Corporation, Matterport, Inc., National Instruments Corp., Omron Corporation, Sony Group Corporation, Teledyne Technologies Inc., and Texas Instruments Incorporated. are among the major players that are driving the growth of the global Computer Vision market.

Report Scope:

In this report, the global computer vision market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Computer Vision Market, By Component:

  • Hardware
  • Software

Computer Vision Market, By Product Type:

  • Smart Camera-Based
  • PC-Based

Computer Vision Market, By Application:

  • Quality Assurance & Inspection
  • Positioning & Guidance
  • Measurement
  • Identification
  • 3D Visualization & Interactive 3D Modelling
  • Predictive Maintenance

Computer Vision Market, By Vertical:

  • Industrial
  • Non-Industrial

Computer Vision Market, By Region:

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

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the global computer vision market.

Available Customizations:

  • With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

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

Table of Contents

1. Product Overview

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

2. Research Methodology

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

3. Executive Summary

4. Voice of Customer

5. Global Computer Vision Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Software and Hardware)
    • 5.2.2. By Product Type (Smart Camera-Based and PC-Based)
    • 5.2.3. By Application (Quality Assurance & Inspection, Positioning & Guidance, Measurement, Identification, 3D Visualization & Interactive 3D Modelling, Predictive Maintenance)
    • 5.2.4. By Vertical (Industrial and Non-industrial)
    • 5.2.5. By Region
  • 5.3. By Company (2022)
  • 5.4. Market Map

6. North America Computer Vision Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Product Type
    • 6.2.3. By Application
    • 6.2.4. By Vertical
    • 6.2.5. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Computer Vision Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Product Type
        • 6.3.1.2.3. By Application
        • 6.3.1.2.4. By Vertical
    • 6.3.2. Canada Computer Vision Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Product Type
        • 6.3.2.2.3. By Application
        • 6.3.2.2.4. By Vertical
    • 6.3.3. Mexico Computer Vision Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Product Type
        • 6.3.3.2.3. By Application
        • 6.3.3.2.4. By Vertical

7. Asia-Pacific Computer Vision Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Product Type
    • 7.2.3. By Application
    • 7.2.4. By Vertical
    • 7.2.5. By Country
  • 7.3. Asia-Pacific: Country Analysis
    • 7.3.1. China Computer Vision Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Product Type
        • 7.3.1.2.3. By Application
        • 7.3.1.2.4. By Vertical
    • 7.3.2. Japan Computer Vision Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Product Type
        • 7.3.2.2.3. By Application
        • 7.3.2.2.4. By Vertical
    • 7.3.3. South Korea Computer Vision Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Product Type
        • 7.3.3.2.3. By Application
        • 7.3.3.2.4. By Vertical
    • 7.3.4. India Computer Vision Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Product Type
        • 7.3.4.2.3. By Application
        • 7.3.4.2.4. By Vertical
    • 7.3.5. Australia Computer Vision Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Product Type
        • 7.3.5.2.3. By Application
        • 7.3.5.2.4. By Vertical

8. Europe Computer Vision Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Product Type
    • 8.2.3. By Application
    • 8.2.4. By Vertical
    • 8.2.5. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Computer Vision 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 Component
        • 8.3.1.2.2. By Product Type
        • 8.3.1.2.3. By Application
        • 8.3.1.2.4. By Vertical
    • 8.3.2. United Kingdom Computer Vision 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 Component
        • 8.3.2.2.2. By Product Type
        • 8.3.2.2.3. By Application
        • 8.3.2.2.4. By Vertical
    • 8.3.3. France Computer Vision 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 Component
        • 8.3.3.2.2. By Product Type
        • 8.3.3.2.3. By Application
        • 8.3.3.2.4. By Vertical
    • 8.3.4. Italy Computer Vision Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Product Type
        • 8.3.4.2.3. By Application
        • 8.3.4.2.4. By Vertical
    • 8.3.5. Spain Computer Vision Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Product Type
        • 8.3.5.2.3. By Application
        • 8.3.5.2.4. By Vertical

9. South America Computer Vision Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Product Type
    • 9.2.3. By Application
    • 9.2.4. By Vertical
    • 9.2.5. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Computer Vision 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 Component
        • 9.3.1.2.2. By Product Type
        • 9.3.1.2.3. By Application
        • 9.3.1.2.4. By Vertical
    • 9.3.2. Argentina Computer Vision 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 Component
        • 9.3.2.2.2. By Product Type
        • 9.3.2.2.3. By Application
        • 9.3.2.2.4. By Vertical
    • 9.3.3. Colombia Computer Vision 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 Component
        • 9.3.3.2.2. By Product Type
        • 9.3.3.2.3. By Application
        • 9.3.3.2.4. By Vertical

10. Middle East & Africa Computer Vision Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Product Type
    • 10.2.3. By Application
    • 10.2.4. By Vertical
    • 10.2.5. By Country
  • 10.3. Middle East & Africa: Country Analysis
    • 10.3.1. Israel Computer Vision 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 Component
        • 10.3.1.2.2. By Product Type
        • 10.3.1.2.3. By Application
        • 10.3.1.2.4. By Vertical
    • 10.3.2. Turkey Computer Vision 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 Component
        • 10.3.2.2.2. By Product Type
        • 10.3.2.2.3. By Application
        • 10.3.2.2.4. By Vertical
    • 10.3.3. UAE Computer Vision 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 Component
        • 10.3.3.2.2. By Product Type
        • 10.3.3.2.3. By Application
        • 10.3.3.2.4. By Vertical
    • 10.3.4. Saudi Arabia Computer Vision 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 Component
        • 10.3.4.2.2. By Product Type
        • 10.3.4.2.3. By Application
        • 10.3.4.2.4. By Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

  • 13.1. Alphabet Inc.
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue (If Available)
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Service Offered
  • 13.2. Cognex Corporation
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue (If Available)
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel
    • 13.2.5. Key Product/Service Offered
  • 13.3. Intel Corporation
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue (If Available)
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel
    • 13.3.5. Key Product/Service Offered
  • 13.4. Keyence Corporation
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue (If Available)
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel
    • 13.4.5. Key Product/Service Offered
  • 13.5. Matterport, Inc.
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue (If Available)
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel
    • 13.5.5. Key Product/Service Offered
  • 13.6. National Instruments Corp.
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue (If Available)
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel
    • 13.6.5. Key Product/Service Offered
  • 13.7. Omron Corporation
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue (If Available)
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel
    • 13.7.5. Key Product/Service Offered
  • 13.8. Sony Group Corporation
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue (If Available)
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel
    • 13.8.5. Key Product/Service Offered
  • 13.9. Teledyne Technologies Inc
    • 13.9.1. Business Overview
    • 13.9.2. Key Revenue (If Available)
    • 13.9.3. Recent Developments
    • 13.9.4. Key Personnel
    • 13.9.5. Key Product/Service Offered
  • 13.10. Texas Instruments Incorporated
    • 13.10.1. Business Overview
    • 13.10.2. Key Revenue (If Available)
    • 13.10.3. Recent Developments
    • 13.10.4. Key Personnel
    • 13.10.5. Key Product/Service Offered

14. Strategic Recommendations

15. About Us & Disclaimer

(Note: The companies list can be customized based on the client requirements.)