电脑视觉的全球市场 - 市场规模，占有率，成长分析:各零件，各产品，各最终用途，产业预测(2023年～2030年)

Global Computer Vision Market Size, Share, Growth Analysis, By Component(Hardware, Software), By Product(Smart Camera Based, PC-Based), By End-Use(Industrial, Non-industrial) - Industry Forecast 2023-2030

出版日期: 2023年04月23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

全球电脑视觉的市场规模，2021年为112亿2,000万美金，预计在预测期间(2023年～2030年)的年复合成长率为7％，从2022年的120亿1,000万美元到2030年成长到220亿7,000万美元。

深度学习演算法和人工智慧的迅速进步，为电脑视觉市场有大幅贡献。根据这些技术，机器变得能更正确处理、解释视觉资料，导致电脑视觉应用的性能改善。各种产业的自动化和机器人工学的需求，推动电脑视觉技术的采用。

本报告提供全球电脑视觉市场相关调查，市场概要，亲市场分析，市场动态及预测，由于各种分析的市场考察，各市场区隔、地区的市场分析，企业简介等资讯。

市场概要
市场规模
市场动态
- 促进因素
- 机会
- 阻碍因素
- 课题
主要的市场考察
- 技术分析
- 价格分析
- 供应链分析
- 价值链分析
- 市场生态系统
- 知识产权分析
- 贸易分析
- Start-Ups分析
- 原料分析
- 革新矩阵
- 开发中产品的分析
- 宏观经济指标
- 主要的投资分析
- 主要的成功因素
- 竞争的程度

市场动态及预测

市场动态
- 促进因素
- 机会
- 阻碍因素
- 课题
法规情形
波特分析
- 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
未来混乱相关Skyquest的特别考察
- 政治影响
- 经济影响
- 社会影响
- 技术影响
- 环境影响
- 法律影响

全球电脑视觉市场:各零件

市场概要
硬体设备
软体

全球电脑视觉市场:各产品

市场概要
智慧相机为基础
PC为基础

全球电脑视觉市场:各最终用途

市场概要
产业用
非产业用

全球电脑视觉的市场规模: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
- 其他欧洲
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
南美
- 巴西
- 其他南美国家
中东、非洲
- GCC各国
- 南非
- 其他中东、非洲

竞争情形

前五名公司的比较
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

Cognex Corporation
Intel Corporation
Keyence Corporation
Microsoft
Google
Amazon Web Services (AWS)
Nvidia
Qualcomm Technologies
IBM
FLIR Systems
Basler AG
Teledyne Technologies
Sony Corporation
Texas Instruments
Omron Corporation
National Instruments
Honeywell International
Matrox Imaging
Baumer Group
Sick AG

简介目录

Product Code: SQMIG45E2084

Computer Vision Market size was valued at USD 11.22 billion in 2021 and is poised to grow from USD 12.01 billion in 2022 to USD 22.07 billion by 2030, growing at a CAGR of 7% in the forecast period (2023-2030).

The global computer vision market refers to the industry that encompasses the development and deployment of computer vision technology and solutions. Computer vision involves the extraction, analysis, and interpretation of visual data from images or videos to enable machines to understand and interpret the visual world like humans. It encompasses various applications such as image recognition, object detection, facial recognition, gesture recognition, and video analysis.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global computer 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 analyzed to get the final quantitative and qualitative data.

Segments covered in this report:

The global computer vision market is segmented on the basis of component, product, end-use, and region. Based on the component, the Computer Vision Market is segmented into hardware and software. Based on the product, the market is segmented into SmartCamera based and PC-based. Based on the end-use, the Computer Vision Market is segmented into industrial and non-industrial. Whereas, based on region, the market is segmented into North America, Europe, Asia-Pacific, South America, and Middle East & Africa.

Driver

The rapid advancements in deep learning algorithms and artificial intelligence have significantly contributed to the growth of the computer vision market. These technologies enable machines to process and interpret visual data more accurately, leading to improved performance in computer vision applications. The demand for automation and robotics across various industries has fueled the adoption of computer vision technology. Computer vision systems are used to enable robots to perceive and interact with the environment, leading to increased efficiency, accuracy, and productivity in tasks such as object sorting, quality inspection, and autonomous navigation.

Restraint

Implementing computer vision technology requires significant investment in hardware, software, and skilled personnel. Additionally, maintaining and upgrading the systems can incur additional costs. High upfront expenses can be a barrier for small and medium-sized enterprises (SMEs) and limit market growth.

Market Trends

The integration of computer vision with IoT devices is a growing trend. By combining computer vision capabilities with IoT sensors and devices, organizations can create intelligent systems for applications such as smart surveillance, predictive maintenance, and autonomous vehicles. As computer vision technology becomes more complex and sophisticated, there is a growing need for explainable AI. Explainable AI techniques aim to provide transparency and insights into the decision-making process of computer vision algorithms, enabling users to understand and trust the outcomes.