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

價格

簡介目錄

全球電腦視覺的市場規模，2021年為112億2,000萬美金，預計在預測期間(2023年～2030年)的年複合成長率為7％，從2022年的120億1,000萬美元到2030年成長到220億7,000萬美元。

深度學習演算法和人工智慧的迅速進步，為電腦視覺市場有大幅貢獻。根據這些技術，機器變得能更正確處理、解釋視覺資料，導致電腦視覺應用的性能改善。各種產業的自動化和機器人工學的需求，推動電腦視覺技術的採用。

本報告提供全球電腦視覺市場相關調查，市場概要，親市場分析，市場動態及預測，由於各種分析的市場考察，各市場區隔、地區的市場分析，企業簡介等資訊。

市場概要
市場規模
市場動態
- 促進因素
- 機會
- 阻礙因素
- 課題
主要的市場考察
- 技術分析
- 價格分析
- 供應鏈分析
- 價值鏈分析
- 市場生態系統
- 知識產權分析
- 貿易分析
- Start-Ups分析
- 原料分析
- 革新矩陣
- 開發中產品的分析
- 宏觀經濟指標
- 主要的投資分析
- 主要的成功因素
- 競爭的程度

市場動態及預測

市場動態
- 促進因素
- 機會
- 阻礙因素
- 課題
法規情形
波特分析
- 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
未來混亂相關Skyquest的特別考察
- 政治影響
- 經濟影響
- 社會影響
- 技術影響
- 環境影響
- 法律影響

全球電腦視覺市場:各零件

市場概要
硬體設備
軟體

全球電腦視覺市場:各產品

市場概要
智慧相機為基礎
PC為基礎

全球電腦視覺市場:各最終用途

市場概要
產業用
非產業用

全球電腦視覺的市場規模: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
- 其他歐洲
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
南美
- 巴西
- 其他南美國家
中東、非洲
- GCC各國
- 南非
- 其他中東、非洲

競爭情形

前五名公司的比較
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

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

簡介目錄

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.