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电脑视觉人工智能市场 - 2023-2028 年预测
市场调查报告书
商品编码
1279622

电脑视觉人工智能市场 - 2023-2028 年预测

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个工作天内

价格
简介目录

电脑视觉人工智能市场预计将从2021年的166.56亿美元增至2028年的796.78亿美元，复合年增长率为25.06%。 电脑视觉AI是人工智能（AI）领域的一个子类别，它利用AI技术、深度机器学习和復杂的互连神经网路来处理数位视觉输入，以获得有意义的见解，从而到达或实现期望的结果。 在人工智能辅助电脑视觉系统中，视觉输入由传感设备扫描，经过推理设备后生成输出。 电脑视觉中的人工智能可用于实现多种功能，例如人脸识别、图像和运动物体检测、图像分组、物体分割、基于过去行为的未来预测以及运动目标的观察。 人工智能计算机视觉的便利性和多功能性正在推动医疗保健、农业、交通、金融、网络安全和零售等各个领域的应用。 因此，鑑于电脑视觉中的人工智能在各个领域发展和扩展其应用的潜力，电脑视觉中的人工智能市场预计将在预测期内经历快速扩张。

市场促进因素

农业部门对计算机视觉人工智能的需求不断增加。

电脑视觉人工智能领域的发展有助于改进创新的农业技术软件，以支持和提高农业部门的整体生产力。 农业公司正在利用电脑视觉人工智能技术来预测天气模式、产量水平并检测任何农业问题。 通过访问无人机和卫星的数位输入，我们可以分析天气模式并预测飓风等自然灾害的发生。 此外，电脑视觉人工智能可以通过检测有害杂草的存在和作物的健康状况来提高作物产量和生产力。 电脑视觉人工智能应用程序还可以分析新杂交作物的颜色、质地和质量，并检查它们与土壤的适应性。 例如，笛卡尔实验室和蓝河科技等公司正在积极投资为农业公司提供电脑视觉人工智能服务，并扩大其在该领域的产品组合。

汽车领域自动化对计算机视觉人工智能的需求

推动电脑视觉人工智能需求的另一个市场促进因素是汽车领域自动驾驶汽车的发展。 这些自动驾驶汽车可以通过手动或自动驾驶模式驾驶。 开发和改进自动驾驶汽车的自动驾驶模式功能需要在汽车中采用电脑视觉人工智能。 自动驾驶模式下的自动驾驶汽车需要收集和解释来自附近传感器和摄像头的视觉数据，以对汽车周围的环境做出反应。 自动驾驶汽车的引擎采用电脑视觉人工智能技术，可以帮助检测和识别交通灯和行人、分析和响应交通模式、检测空停车场、调查道路健康状况等。 因此，电脑视觉AI在汽车领域的多功能性已成为推动计算机视觉AI市场扩张的关键因素。

公司采用电脑视觉人工智能所需的大量投资和资源可能会阻碍电脑视觉人工智能市场的增长。

在消费类企业中维护计算机视觉人工智能系统需要重型硬件组件和经过专门培训的专家团队，从而导致企业产生额外成本。 对于一家小公司来说，在电脑视觉人工智能係统上投入大量资金可能不是一个经济决策。 公司在部署电脑视觉人工智能系统时遇到的最常见问题是缺乏硬件组件、未经培训的员工对人工智能技术的管理不善以及缺乏预算。

北美电脑视觉人工智能市场拓展潜力巨大

在北美，越来越多的人工智能初创公司正在成立，其目标是为客户提供电脑视觉人工智能服务，展示了北美电脑视觉人工智能的市场潜力。 例如，纽约的Ocrolus公司利用电脑视觉人工智能技术和机器学习为客户提供金融数据分析和咨询服务。 另一家人工智能初创公司 Orbital Insight 使用电脑视觉人工智能，根据卫星记录的视觉数据向能源和农业部门提出建议。 此外，谷歌、微软、IBM等科技巨头正在积极投资开发新的人工智能软件，包括电脑视觉人工智能。 这些计算机视觉人工智能在北美农业、製造业、汽车和资讯技术等各个领域的采用预计将在预测期内扩大北美电脑视觉人工智能市场的市场规模。

内容

第 1 章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第 2 章研究方法

  • 调查数据
  • 调查设计

第 3 章执行摘要

  • 调查要点

第 4 章市场动态

  • 市场促进因素
  • 市场抑制因素
  • 市场机会
  • 波特五力分析
  • 行业价值链分析

第 5 章电脑视觉人工智能市场：按类型

  • 简介
  • 硬件
  • 软件

第 6 章电脑视觉市场中的人工智能（按产品）

  • 简介
  • 智能相机底座
  • 基于 PC

第 7 章电脑视觉人工智能市场：按功能

  • 简介
  • 图像分类
  • 物体检测
  • 外观检查
  • 其他

第 8 章电脑视觉人工智能市场：按应用分类

  • 简介
  • 汽车
  • 家用电器
  • 医疗保健
  • 製造业
  • 零售
  • 其他

第 9 章电脑视觉人工智能市场：按地区

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 西班牙
    • 其他
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳大利亚
    • 新加坡
    • 印度尼西亚
    • 其他

第 10 章竞争格局与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议与合作
  • 供应商竞争力矩阵

第 11 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 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