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市場調查報告書
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1574197

電腦視覺領域的人工智慧 (AI) 市場 - 2024 年至 2029 年預測

Artificial Intelligence (AI) in Computer Vision Market - Forecasts from 2024 to 2029

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 152 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

電腦視覺領域的人工智慧(AI)市場預計將以25.53%的複合年成長率擴張,到2029年市場規模將達到550.81億美元,而2024年的初始值為176.69億美元。

電腦視覺中的人工智慧(AI) 是人工智慧(AI) 的一個子類別,它利用人工智慧技術、深度機器學習和複雜的互連神經網路來處理數位視覺輸入並獲得重要的見解或實現所需的結果。在人工智慧輔助電腦視覺系統中,視覺輸入透過感測設備進行掃描,並在經過推理設備後產生輸出。

電腦視覺中的人工智慧 (AI) 可以執行多種屬性,例如臉部辨識、影像偵測、運動物體偵測、影像分組、物體分割、基於過去趨勢的未來預測以及觀察運動目標。電腦視覺中人工智慧 (AI) 的便利性和多功能性導致其在多個領域得到應用,包括醫療保健、農業、交通、金融、網路安全和零售。因此,考慮到人工智慧(AI)在電腦視覺領域的發展潛力以及在各個領域擴展其應用的潛力,預計該市場將在預測期內快速擴張。

電腦視覺市場中的人工智慧 (AI) 促進因素:

  • 農業領域對電腦視覺人工智慧(AI)的需求不斷成長,預計將加速市場擴張。

電腦視覺人工智慧(AI)領域的發展將有助於改進創新農業技術軟體,以支援和提高農業部門的整體生產力。農業公司正在電腦視覺中採用人工智慧 (AI) 技術來預測天氣模式和作物水平並檢測農業問題。可以存取無人機和衛星的數位輸入來分析天氣模式並預測颶風等自然災害的發生。

此外,電腦視覺中的人工智慧 (AI) 可以透過檢測有害雜草和作物健康問題來幫助提高作物產量和生產力。該應用程式可以進一步分析新混合作物的顏色、質地和品質,並檢查它們與土壤的相容性。例如,笛卡爾實驗室和藍河科技等公司正在積極為農業相關企業提供電腦視覺領域的人工智慧(AI)服務,並投資擴大其在該領域的產品系列。

電腦視覺市場人工智慧(AI)的地理前景:

  • 北美在電腦視覺領域的人工智慧 (AI) 領域佔據了最大佔有率。

北美地區不斷推出旨在為客戶提供人工智慧電腦視覺服務的人工智慧新興企業,展現了市場潛力。例如,紐約的Ocrolus公司採用人工智慧電腦視覺技術和機器學習,為客戶提供金融資料分析和諮詢服務。另一家人工智慧Start-UpsOrbital Insights 也正在利用這項技術為能源和農業提供投入,利用衛星影像和其他來源提出建議。

此外,Google、微軟、IBM等科技巨頭正積極投資新型人工智慧軟體的開發,包括電腦視覺人工智慧。在美國和加拿大等北美國家,電腦視覺人工智慧在農業、製造、汽車和資訊科技等各個領域的採用正在增加。因此,在預測期內,北美電腦視覺領域的人工智慧(AI)市場規模將會增加。

為什麼要購買這份報告?

  • 富有洞察力的分析:獲得涵蓋關鍵和新興地區的深入市場洞察,重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局:了解世界主要企業採取的策略策略,並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢:探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場開拓。
  • 可行的建議:利用洞察力做出策略決策,在動態環境中發現新的業務流和收益。
  • 面向廣大受眾:對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼?

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介(策略、產品、財務資訊、主要動態等)

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章電腦視覺領域的人工智慧 (AI) 市場:按類型

  • 介紹
  • 硬體
  • 軟體

第6章電腦視覺領域的人工智慧 (AI) 市場:依產品

  • 介紹
  • 智慧型相機底座
  • 基於PC

第7章電腦視覺領域的人工智慧 (AI) 市場:按功能分類

  • 介紹
  • 影像分類
  • 物體偵測
  • 目視檢查
  • 其他

第8章電腦視覺領域的人工智慧 (AI) 市場:按應用分類

  • 介紹
  • 家電
  • 衛生保健
  • 製造業
  • 零售
  • 其他

第9章電腦視覺領域的人工智慧(AI)市場:按地區

  • 介紹
  • 北美洲
    • 按類型
    • 依產品
    • 按功能分類
    • 按用途
    • 按國家/地區
  • 南美洲
    • 按類型
    • 依產品
    • 按功能分類
    • 按用途
    • 按國家/地區
  • 歐洲
    • 按類型
    • 依產品
    • 按功能分類
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 按類型
    • 依產品
    • 按功能分類
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 按類型
    • 依產品
    • 按功能分類
    • 按用途
    • 按國家/地區

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第11章 公司簡介

  • NVIDIA
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • AWS Inc.
  • Qualcomm Technologies Inc.
  • Xilinx(AMD Inc.)
  • Google LLC
  • Basler AG
  • Keyence Corporation
簡介目錄
Product Code: KSI061614639

The AI in computer vision market is anticipated to expand at a CAGR of 25.53% to reach a market size of US$55.081 billion in 2029 from an initial value of US$17.669 billion in 2024.

Computer vision AI is a subcategory of artificial intelligence (AI) that utilizes AI technology, deep machine learning, and complex interconnected neural networks to process digital visual input to obtain crucial insights or to achieve a targeted result. In an AI-assisted computer vision system, visual input is scanned through a sensing device to produce an output after passing it through an inferring device.

AI in computer vision can perform numerous attributes such as face recognition, image detection, moving object detection, grouping of images, object segmentation, future prediction based on past trends, and observation of moving targets. The convenience and versatility of computer vision in AI result in its application in different sectors, such as healthcare, agriculture, transportation, finance, cybersecurity, and retail. Hence, after considering the potential of AI in computer vision to evolve and increase its applications in different sectors, it can be anticipated that this market will experience a rapid expansion in the forecast period.

AI IN COMPUTER VISION MARKET DRIVERS:

  • Growing demand for AI in computer vision from the agricultural sector is anticipated to accelerate the market expansion.

The developments in the computer vision AI field help improve the agricultural technology software innovated to assist and enhance the overall productivity of the agricultural sector. Agricultural enterprises employ computer vision AI technology to predict weather patterns and harvest levels and detect agricultural concerns. Digital inputs from drones and satellites can be accessed to analyze weather patterns and predict the occurrence of natural calamities like hurricanes.

In addition, computer vision AI can assist in improving crop yield and productivity by detecting harmful weeds or issues with crop health. Its applications can further analyze new hybrid crops' color, texture, and quality to check their compatibility with the soil. For instance, companies like Descartes Labs and Blue River Technology are actively providing computer vision AI services to agricultural companies and investing in expanding their product portfolio in this field.

AI In Computer Vision Market Geographical Outlook:

  • North America to hold significant shares of AI in the computer vision market.

The rise in the launch of AI startup companies in North America targeting to provide AI computer vision services to its clients demonstrates its market potential. For instance, Ocrolus Company in New York adopts AI computer vision technology and machine learning to offer financial data analysis and consultancy services to its customers. Another AI startup, Orbital Insight, also uses this technology for input into energy and farming by leveraging satellite images and other sources to make recommendations.

In addition, giant technology companies like Google, Microsoft, and IBM are actively investing in developing new AI software, including computer vision AI. There is a rise in the adoption of computer vision AI across various sectors such as agriculture, manufacturing, automotive, and information technology in North American countries like the USA and Canada. This will result in an increase in the market size of North American computer vision AI over the forecast period.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The AI In Computer Vision Market is segmented and analyzed as below:

By Type

  • Hardware
  • Software

By Product

  • Smart Camera-based
  • PC-based

By Function

  • Image Classification
  • Object Detection
  • Visual Inspection
  • Others

By Applications

  • Automotive
  • Consumer Electronics
  • Healthcare
  • Manufacturing
  • Retail
  • Others

By Geography

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

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN COMPUTER VISION MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Hardware
  • 5.3. Software

6. AI IN COMPUTER VISION MARKET BY PRODUCT

  • 6.1. Introduction
  • 6.2. Smart Camera-based
  • 6.3. PC-based

7. AI IN COMPUTER VISION MARKET BY FUNCTION

  • 7.1. Introduction
  • 7.2. Image Classification
  • 7.3. Object Detection
  • 7.4. Visual Inspection
  • 7.5. Others

8. AI IN COMPUTER VISION MARKET BY APPLICATIONS

  • 8.1. Introduction
  • 8.2. Automotive
  • 8.3. Consumer Electronics
  • 8.4. Healthcare
  • 8.5. Manufacturing
  • 8.6. Retail
  • 8.7. Others

9. AI IN COMPUTER VISION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Type
    • 9.2.2. By Product
    • 9.2.3. By Function
    • 9.2.4. By Applications
    • 9.2.5. By Country
      • 9.2.5.1. USA
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Type
    • 9.3.2. By Product
    • 9.3.3. By Function
    • 9.3.4. By Applications
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Type
    • 9.4.2. By Product
    • 9.4.3. By Function
    • 9.4.4. By Applications
    • 9.4.5. By Country
      • 9.4.5.1. United Kingdom
      • 9.4.5.2. Germany
      • 9.4.5.3. France
      • 9.4.5.4. Italy
      • 9.4.5.5. Spain
      • 9.4.5.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Type
    • 9.5.2. By Product
    • 9.5.3. By Function
    • 9.5.4. By Applications
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Type
    • 9.6.2. By Product
    • 9.6.3. By Function
    • 9.6.4. By Applications
    • 9.6.5. By Country
      • 9.6.5.1. China
      • 9.6.5.2. Japan
      • 9.6.5.3. India
      • 9.6.5.4. South Korea
      • 9.6.5.5. Australia
      • 9.6.5.6. Indonesia
      • 9.6.5.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. NVIDIA
  • 11.2. IBM Corporation
  • 11.3. Intel Corporation
  • 11.4. Microsoft Corporation
  • 11.5. AWS Inc.
  • 11.6. Qualcomm Technologies Inc.
  • 11.7. Xilinx (AMD Inc.)
  • 11.8. Google LLC
  • 11.9. Basler AG
  • 11.10. Keyence Corporation