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電腦視覺人工智能市場 - 2023-2028 年預測
市場調查報告書
商品編碼
1279622

電腦視覺人工智能市場 - 2023-2028 年預測

Artificial Intelligence (AI) in Computer Vision Market - Forecasts from 2023 to 2028
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

價格
簡介目錄

電腦視覺人工智能市場預計將從2021年的166.56億美元增至2028年的796.78億美元，複合年增長率為25.06%。 電腦視覺AI是人工智能（AI）領域的一個子類別，它利用AI技術、深度機器學習和復雜的互連神經網路來處理數位視覺輸入，以獲得有意義的見解，從而到達或實現期望的結果。 在人工智能輔助電腦視覺系統中，視覺輸入由傳感設備掃描，經過推理設備後生成輸出。 電腦視覺中的人工智能可用於實現多種功能，例如人臉識別、圖像和運動物體檢測、圖像分組、物體分割、基於過去行為的未來預測以及運動目標的觀察。 人工智能計算機視覺的便利性和多功能性正在推動醫療保健、農業、交通、金融、網絡安全和零售等各個領域的應用。 因此，鑑於電腦視覺中的人工智能在各個領域發展和擴展其應用的潛力，電腦視覺中的人工智能市場預計將在預測期內經歷快速擴張。

市場促進因素

農業部門對計算機視覺人工智能的需求不斷增加。

電腦視覺人工智能領域的發展有助於改進創新的農業技術軟件，以支持和提高農業部門的整體生產力。 農業公司正在利用電腦視覺人工智能技術來預測天氣模式、產量水平並檢測任何農業問題。 通過訪問無人機和衛星的數位輸入，我們可以分析天氣模式並預測颶風等自然災害的發生。 此外，電腦視覺人工智能可以通過檢測有害雜草的存在和作物的健康狀況來提高作物產量和生產力。 電腦視覺人工智能應用程序還可以分析新雜交作物的顏色、質地和質量，並檢查它們與土壤的適應性。 例如，笛卡爾實驗室和藍河科技等公司正在積極投資為農業公司提供電腦視覺人工智能服務，並擴大其在該領域的產品組合。

汽車領域自動化對計算機視覺人工智能的需求

推動電腦視覺人工智能需求的另一個市場促進因素是汽車領域自動駕駛汽車的發展。 這些自動駕駛汽車可以通過手動或自動駕駛模式駕駛。 開發和改進自動駕駛汽車的自動駕駛模式功能需要在汽車中採用電腦視覺人工智能。 自動駕駛模式下的自動駕駛汽車需要收集和解釋來自附近傳感器和攝像頭的視覺數據，以對汽車周圍的環境做出反應。 自動駕駛汽車的引擎採用電腦視覺人工智能技術，可以幫助檢測和識別交通燈和行人、分析和響應交通模式、檢測空停車場、調查道路健康狀況等。 因此，電腦視覺AI在汽車領域的多功能性已成為推動計算機視覺AI市場擴張的關鍵因素。

公司採用電腦視覺人工智能所需的大量投資和資源可能會阻礙電腦視覺人工智能市場的增長。

在消費類企業中維護計算機視覺人工智能系統需要重型硬件組件和經過專門培訓的專家團隊，從而導致企業產生額外成本。 對於一家小公司來說，在電腦視覺人工智能係統上投入大量資金可能不是一個經濟決策。 公司在部署電腦視覺人工智能系統時遇到的最常見問題是缺乏硬件組件、未經培訓的員工對人工智能技術的管理不善以及缺乏預算。

北美電腦視覺人工智能市場拓展潛力巨大

在北美，越來越多的人工智能初創公司正在成立，其目標是為客戶提供電腦視覺人工智能服務，展示了北美電腦視覺人工智能的市場潛力。 例如，紐約的Ocrolus公司利用電腦視覺人工智能技術和機器學習為客戶提供金融數據分析和諮詢服務。 另一家人工智能初創公司 Orbital Insight 使用電腦視覺人工智能，根據衛星記錄的視覺數據向能源和農業部門提出建議。 此外，谷歌、微軟、IBM等科技巨頭正在積極投資開發新的人工智能軟件，包括電腦視覺人工智能。 這些計算機視覺人工智能在北美農業、製造業、汽車和資訊技術等各個領域的採用預計將在預測期內擴大北美電腦視覺人工智能市場的市場規模。

內容

第 1 章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第 2 章研究方法

  • 調查數據
  • 調查設計

第 3 章執行摘要

  • 調查要點

第 4 章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 市場機會
  • 波特五力分析
  • 行業價值鏈分析

第 5 章電腦視覺人工智能市場：按類型

  • 簡介
  • 硬件
  • 軟件

第 6 章電腦視覺市場中的人工智能（按產品）

  • 簡介
  • 智能相機底座
  • 基於 PC

第 7 章電腦視覺人工智能市場：按功能

  • 簡介
  • 圖像分類
  • 物體檢測
  • 外觀檢查
  • 其他

第 8 章電腦視覺人工智能市場：按應用分類

  • 簡介
  • 汽車
  • 家用電器
  • 醫療保健
  • 製造業
  • 零售
  • 其他

第 9 章電腦視覺人工智能市場：按地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 意大利
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳大利亞
    • 新加坡
    • 印度尼西亞
    • 其他

第 10 章競爭格局與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議與合作
  • 供應商競爭力矩陣

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 projected to grow at a CAGR of 25.06% to reach US$79.678 billion in 2028 from US$16.656 billion in 2021. Computer vision AI is a sub-category of artificial intelligence (AI) field which utilizes AI technology, deep machine learning, and complex interconnected neural networks to process a digital visual input to arrive 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 be operated to facilitate several functions such as facial recognition, image and moving object detection, image grouping, object segmentation, future prediction based on past trends, and observation of moving targets. The convenience and versatility of computer vision in AI are resulting 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 the AI in computer vision market will experience a rapid expansion in the forecast period.

Market Drivers

Growing demand for AI in computer vision from the agricultural sector.

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. Computer vision AI technology is employed by agricultural enterprises to predict weather patterns, and harvest levels, and detect any agricultural concerns. The digital inputs from drones and satellites can be accessed to analyze the weather patterns and predict the occurrence of any natural calamities like hurricanes. In addition to this, computer vision AI can assist in improving the yield and productivity of the crops by detecting the presence of any harmful weeds or any issues with the health of the crops. The computer vision AI applications can further analyze the colour, texture, and quality of new hybrid crops to check their compatibility with the soil. For instance, companies like Descartes Labs and Blue River Technology are actively involved in providing computer vision AI services to agricultural companies and investing in expanding their product portfolio in this field.

Need for computer vision AI in the automotive sector for automation.

Another market driver increasing the demand for AI in computer vision is the development of automated cars in the automotive sector. These automated cars can be driven either manually or through auto-drive mode. The development and improvement of the auto-drive mode feature in self-driving cars requires the adoption of computer vision AI in their vehicles. The auto-drive mode in automated cars requires gathering and interpretation of visual data from neighboring sensors and cameras to respond to the car's surroundings. The adoption of computer vision AI technology helps the automated car engine to detect and identify traffic light signals and pedestrians, analyze and respond to traffic patterns, sense vacancies in parking lots, and investigate road health. Therefore, the multifunctional utility of computer vision AI in the automotive sector is a key factor driving the market expansion of AI in the computer vision market.

The heavy investment and resources required by a company to adopt computer vision AI have the potential to hinder the growth of the computer vision AI market.

The heavy hardware components and a team of specially trained experts to maintain the computer vision AI system in the consumer's enterprise result in additional expenses to the enterprise. It might not be an economical decision for small-sized companies to invest such heavy money into computer vision AI systems. Some of the most common difficulties experienced by companies while employing computer vision AI systems in their operations are insufficient hardware components, poor management of the AI technology by untrained staff, and inadequate budgets.

Market Developments

  • In February 2023, TechSee, an IT company in Israel, launched a new application named Open Integration which integrates AI in computer vision technology and augmented reality features to enhance customer experience.
  • In February 2023, Niricson, a Canadian start-up company specializing in computer vision AI and robotics, signed a partnership deal with Arcadis to innovate new solutions for international asset management trials.
  • In October 2022, Google's computer vision AI, Vertex AI vision released a new no-code feature that enables its users, who do not possess coding and programming skills, to access pre-customized machine learning models to create inference.

North America has a significant potential for expansion in artificial intelligence 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 the market potential for AI in the computer vision field in North America. 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 uses AI in computer vision to offer suggestions to the energy and farming sector based on the visual data recorded in satellites and other sources. In addition to this, giant technology companies like Google, Microsoft, and IBM are actively investing in developing new AI software including computer vision AI. The adoption of these computer vision AI across various sectors such as agriculture, manufacturing, automotive, and information technology in North America will result in an increase in the market size of the North American computer vision AI market over the forecast period.

Market Segmentation

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
    • Singapore
    • 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

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Market Opportunities
  • 4.4. Porter's Five Forces Analysis
    • 4.4.1. Bargaining Power of Suppliers
    • 4.4.2. Bargaining Power of Buyers
    • 4.4.3. Threat of New Entrants
    • 4.4.4. Threat of Substitutes
    • 4.4.5. Competitive Rivalry in the Industry
  • 4.5. Industry Value Chain Analysis

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. USA
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. UK
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. China
    • 9.6.2. Japan
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Australia
    • 9.6.6. Singapore
    • 9.6.7. Indonesia
    • 9.6.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Emerging Players and Market Lucrativeness
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Vendor Competitiveness Matrix

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