3D机械视觉的全球市场:市场规模，占有率，成长分析，各用途，各最终用途，各零件，各产品-产业预测(2022年～2028年)

Global 3D Machine Vision Market Size, Share, Growth Analysis, By Application, By End-Use, By Component, By Product - Industry Forecast 2022-2028

出版日期: 2022年11月15日 | 出版商:

SkyQuest | 英文 157 Pages | 商品交期: 3-5个工作天内

价格

简介目录

全球3D机械视觉的市场规模，从2021年的15亿美元，预计2028年成为29亿美元，从2022年到2028年的预测期间内的年复合成长率成为11.10％。在许多产业领域品质检验和自动化的需求高涨，及包装，食品、饮料，製药、化学，汽车产业上对附视觉引导的机器人系统的需求，促进市场成长。

本报告提供全球3D机械视觉市场的相关调查，市场概要，市场分析，企业简介等全面性资讯。

市场动态
促进因素
机会
阻碍因素
课题
法规情形
SWOT分析
波特五力分析
- 竞争企业间的敌对关係
- 替代品的威胁
- 买方议价能力
- 新加入业者的威胁
- 供给企业谈判力
- 政治影响
- 经济影响
- 社会影响
- 技术性影响
- 环境的影响
- 法律上的影响

全球3D机械视觉市场:各用途

市场概要
品质保证、检验
定位、诱导
测量
识别

全球3D机械视觉市场:各最终用途

市场概要
汽车
医药品
化学品
电子产品、半导体
纸浆
农业
其他

全球3D机械视觉市场:各零件

市场概要
硬体设备
软体

全球3D机械视觉市场:各产品

市场概要
PC为基础
智慧相机为基础

全球3D机械视觉市场规模:各地区

市场概要
北美
美国
加拿大
欧洲
德国
西班牙
法国
英国
其他的欧洲
亚太地区
中国
印度
日本
韩国
其他的亚太地区
南美
巴西
其他的南美
中东、非洲
GCC各国
南非
其他的中东、非洲

竞争情形

主要5家公司的比较
主要企业的市场定位(2021年)
主要的市场参与企业采用的策略
主要成功策略
各开发
各企业
各年度
市场上最近的活动
主要企业的市场占有率(%)(2021年)

主要企业简介

Omron Corporation(日本)
Cognex Corporation(美国)
Basler AG(德国)
Keyence(日本)
National Instruments(美国)
TKH Group(荷兰)
Sony Corporation(日本)
ISRA Vision(德国)
Stemmer Imaging(德国)
Intel Corporation(美国)

简介目录

Product Code: SQMIG45I2044

Global 3D Machine Vision Market size was valued at USD 1,500 million in 2021 and is expected to reach USD 2,900 million by 2028, at a CAGR of 11.10% during the forecast period (2022-2028).

Top-down and bottom-up approaches were used to estimate and validate the size of global 3D Machine Vision Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined by using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to get the final quantitative and qualitative data.

Segments covered in this report:

Global 3D machine vision market is segmented based on application, end use, product, component, and region . Based on application, the market is categorized into quality assurance & inspection, positioning & guidance, measurement, and identification. Based on end use, the market is segmented into automotive, healthcare, manufacturing, industrial, agriculture, security & surveillance and others. Further, based on component, it is bifurcated into software and hardware. In terms of product, the market is segmented into PC based and smart camera based. Regionally, the market is categorized into North America, Europe, Asia-Pacific, South America, and Middle East & Africa .

The increased demand for quality inspection and automation in many industrial verticals is expected to drive the machine vision market. Furthermore, the demand for vision-guided robotic systems in the packaging, food and beverage, pharmaceutical and chemical, and automotive industries is expected to fuel market growth. The anticipated increase in demand for application-oriented machine vision systems will aid in the technology's adoption. One or more video cameras, digital signal processing, and analogue to digital conversion are utilised in 3D machine vision (MV) systems to allow a computer to see, study, and analyse task performance. After the data has been captured, the computer will analyse it and deliver the required outcome.

Drivers

Smart cameras are widely used to supplement a 3D machine vision system by digitising and transferring footage for computer analysis. A smart camera contains a single image sensor. They are often intended for niche applications where a compact footprint is required due to space constraints. Smart cameras are utilised for a wide range of automated tasks, whether as part of a multipart 3D machine vision system or as standalone image processors. Because of their low cost and ease of use, smart cameras are regarded as an effective option for streamlining automation procedures or integrating vision systems into manufacturing operations. Manufacturers commonly utilise smart cameras for inspection and quality assurance, thus they are in high demand in industrial production.

Restraint

Robotic vision technology is continuously changing, with new technologies and tools reaching the market at breakneck pace to assist with automation concerns. Throughout the last decade, the robotic vision market has seen the advent of more powerful sensors in the form of smaller and larger pixels, more precise software platforms, and brighter and more efficient lighting. The expensive expense of robotic vision research and development, as well as a lack of customer awareness about fast improving robotic vision technologies, are expected to hinder the industry.

Market Trends

Embedded vision is a relatively new market trend. "Embedded vision" is a technique that combines picture capturing and processing into a single device. Machine vision advancements have resulted in increasingly wide industrial applications, such as thorough inspection and sorting solutions. Embedded vision technology has even been employed in revolutionary goods like autonomous drones, driverless autos, and smartphones. Deep learning will be applied in embedded devices as well, supported by more powerful Field Programmable Gate Array (FPGAs) that will provide additional options to speed computationally intensive vision and neural algorithms right on the embedded devices involved.