3D機械視覺的全球市場:市場規模，佔有率，成長分析，各用途，各最終用途，各零件，各產品-產業預測(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個工作天內

價格

簡介目錄

全球3D機械視覺的市場規模，從2021年的15億美元，預計2028年成為29億美元，從2022年到2028年的預測期間內的年複合成長率成為11.10％。在許多產業領域品質檢驗和自動化的需求高漲，及包裝，食品、飲料，製藥、化學，汽車產業上對附視覺引導的機器人系統的需求，促進市場成長。

本報告提供全球3D機械視覺市場的相關調查，市場概要，市場分析，企業簡介等全面性資訊。

市場動態
促進因素
機會
阻礙因素
課題
法規情形
SWOT分析
波特五力分析
- 競爭企業間的敵對關係
- 替代品的威脅
- 買方議價能力
- 新加入業者的威脅
- 供給企業談判力
- 政治影響
- 經濟影響
- 社會影響
- 技術性影響
- 環境的影響
- 法律上的影響

全球3D機械視覺市場:各用途

市場概要
品質保證、檢驗
定位、誘導
測量
識別

全球3D機械視覺市場:各最終用途

市場概要
汽車
醫藥品
化學品
電子產品、半導體
紙漿
農業
其他

全球3D機械視覺市場:各零件

市場概要
硬體設備
軟體

全球3D機械視覺市場:各產品

市場概要
PC為基礎
智慧相機為基礎

全球3D機械視覺市場規模:各地區

市場概要
北美
美國
加拿大
歐洲
德國
西班牙
法國
英國
其他的歐洲
亞太地區
中國
印度
日本
韓國
其他的亞太地區
南美
巴西
其他的南美
中東、非洲
GCC各國
南非
其他的中東、非洲

競爭情形

主要5家公司的比較
主要企業的市場定位(2021年)
主要的市場參與企業採用的策略
主要成功策略
各開發
各企業
各年度
市場上最近的活動
主要企業的市場佔有率(%)(2021年)

主要企業簡介

Omron Corporation(日本)
Cognex Corporation(美國)
Basler AG(德國)
Keyence(日本)
National Instruments(美國)
TKH Group(荷蘭)
Sony Corporation(日本)
ISRA Vision(德國)
Stemmer Imaging(德國)
Intel Corporation(美國)

簡介目錄

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.