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市场调查报告书
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1574197

电脑视觉领域的人工智慧 (AI) 市场 - 2024 年至 2029 年预测

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个工作天内

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简介目录

电脑视觉领域的人工智慧(AI)市场预计将以25.53%的复合年增长率扩张,到2029年市场规模将达到550.81亿美元,而2024年的初始值为176.69亿美元。

电脑视觉中的人工智慧(AI) 是人工智慧(AI) 的一个子类别,它利用人工智慧技术、深度机器学习和复杂的互连神经网路来处理数位视觉输入并获得重要的见解或实现所需的结果。在人工智慧辅助电脑视觉系统中,视觉输入透过感测设备进行扫描,并在经过推理设备后产生输出。

电脑视觉中的人工智慧 (AI) 可以执行多种属性,例如脸部辨识、影像侦测、运动物体侦测、影像分组、物体分割、基于过去趋势的未来预测以及观察运动目标。电脑视觉中人工智慧 (AI) 的便利性和多功能性导致其在多个领域得到应用,包括医疗保健、农业、交通、金融、网路安全和零售。因此,考虑到人工智慧(AI)在电脑视觉领域的发展潜力以及在各个领域扩展其应用的潜力,预计该市场将在预测期内快速扩张。

电脑视觉市场中的人工智慧 (AI) 驱动因素:

  • 农业领域对电脑视觉人工智慧(AI)的需求不断增长,预计将加速市场扩张。

电脑视觉人工智慧(AI)领域的发展将有助于改进创新农业技术软体,以支援和提高农业部门的整体生产力。农业公司正在电脑视觉中采用人工智慧 (AI) 技术来预测天气模式和作物水平并检测农业问题。可以存取无人机和卫星的数位输入来分析天气模式并预测飓风等自然灾害的发生。

此外,电脑视觉中的人工智慧 (AI) 可以透过检测有害杂草和作物健康问题来帮助提高作物产量和生产力。该应用程式可以进一步分析新混合作物的颜色、质地和品质,并检查它们与土壤的相容性。例如,笛卡尔实验室和蓝河科技等公司正在积极为农业相关企业提供电脑视觉领域的人工智慧(AI)服务,并投资扩大其在该领域的产品系列。

电脑视觉市场人工智慧(AI)的地理前景:

  • 北美在电脑视觉领域的人工智慧 (AI) 领域占据了最大份额。

北美地区不断推出旨在为客户提供人工智慧电脑视觉服务的人工智慧新兴企业,展现了市场潜力。例如,纽约的Ocrolus公司采用人工智慧电脑视觉技术和机器学习,为客户提供金融资料分析和咨询服务。另一家人工智慧Start-UpsOrbital Insights 也正在利用这项技术为能源和农业提供投入,利用卫星影像和其他来源提出建议。

此外,Google、微软、IBM等科技巨头正积极投资新型人工智慧软体的开发,包括电脑视觉人工智慧。在美国和加拿大等北美国家,电脑视觉人工智慧在农业、製造、汽车和资讯科技等各个领域的采用正在增加。因此,在预测期内,北美电脑视觉领域的人工智慧(AI)市场规模将会增加。

为什么要购买这份报告?

  • 富有洞察力的分析:获得涵盖关键和新兴地区的深入市场洞察,重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局:了解世界主要企业采取的策略策略,并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势:探索动态因素和关键市场趋势以及它们将如何塑造未来市场开拓。
  • 可行的建议:利用洞察力做出策略决策,在动态环境中发现新的业务流和收益。
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公司使用我们的报告的目的是什么?

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介(策略、产品、财务资讯、主要动态等)

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章电脑视觉领域的人工智慧 (AI) 市场:按类型

  • 介绍
  • 硬体
  • 软体

第六章电脑视觉领域的人工智慧 (AI) 市场:副产品

  • 介绍
  • 智慧型相机底座
  • 基于PC

第七章电脑视觉领域的人工智慧 (AI) 市场:按功能分类

  • 介绍
  • 影像分类
  • 物体侦测
  • 目视检查
  • 其他的

第八章电脑视觉领域的人工智慧 (AI) 市场:按应用分类

  • 介绍
  • 家电
  • 卫生保健
  • 製造业
  • 零售
  • 其他的

第九章电脑视觉领域的人工智慧(AI)市场:按地区

  • 介绍
  • 北美洲
    • 按类型
    • 副产品
    • 按功能分类
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按类型
    • 副产品
    • 按功能分类
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按类型
    • 副产品
    • 按功能分类
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按类型
    • 副产品
    • 按功能分类
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按类型
    • 副产品
    • 按功能分类
    • 按用途
    • 按国家/地区

第十章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十一章 公司简介

  • NVIDIA
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • AWS Inc.
  • Qualcomm Technologies Inc.
  • Xilinx(AMD Inc.)
  • Google LLC
  • Basler AG
  • Keyence Corporation
简介目录
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