New York, USA, June 27, 2023 (GLOBE NEWSWIRE) -- According to a Comprehensive Research Report by Market Research Future (MRFR),” Computer Vision Market Information by Component, Application, End-user, and Region - Forecast till 2030”, Computer Vision Market could thrive at a rate of 15.21% between 2022 and 2030. The market size will be reaching around USD 41.61 Billion by the end of the year 2030.
Market Synopsis:
Computer vision refers to the field of technology that enables computers to interpret, understand, and analyze visual data from images or videos. It involves the development of algorithms and techniques that allow machines to extract meaningful information from visual inputs, mimicking human vision capabilities. By utilizing image processing, pattern recognition, and machine learning, computer vision can be applied to various domains and industries.
Computer vision finds applications in diverse fields such as healthcare, automotive, retail, surveillance, robotics, and augmented reality. In healthcare, it aids in medical imaging analysis, disease detection, and surgical procedures. In the automotive industry, computer vision is used for advanced driver assistance systems (ADAS), autonomous vehicles, and traffic monitoring. Retail businesses leverage computer vision for inventory management, customer behavior analysis, and cashierless checkout systems. It also plays a crucial role in surveillance and security systems, facial recognition, object tracking, and anomaly detection.
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Market Competitive Landscape:
The affluent companies in the Computer vision industry include
- Intel Corporation
- Keyence Corporation
- National Instruments
- Microsoft Corporation
- Nvidia Corporation
- Cognex Corporation.
Latest Industry Updates (February 2023):
Nvidia Corporation's announcement regarding their latest computer vision platform. Nvidia introduced their new platform, named "NVision," which combines advanced deep learning algorithms with high-performance computing capabilities. NVision is designed to enhance computer vision applications in various industries, including autonomous vehicles, robotics, healthcare, and surveillance. The platform aims to provide real-time processing, improved accuracy, and scalability, empowering businesses to leverage the power of computer vision for their specific needs.
Scope of the Report - Computer Vision Market:
| Report Metrics | Details |
| Market Size by 2030 | USD 41.61 Billion |
| CAGR during 2022-2030 | 15.21% |
| Base Year | 2019 |
| Forecast | 2020-2030 |
| Key Market Opportunities | The users of the report will come across market opportunities and trends that are likely to arise during course of the projected years. The scope of research covers components such as hardware and software. |
| Key Market Dynamics | Highly lucrative and capitalize on growth opportunities while minimizing risks. |
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Market USP Covered:
Market Drivers:
Three market driving factors for the computer vision market include increasing adoption of AI-based technologies across industries, the rising demand for automation and robotics, and the growing need for quality inspection and defect detection in manufacturing processes. The integration of computer vision with artificial intelligence enables advanced analytics, predictive maintenance, and intelligent decision-making. Moreover, the demand for automation and robotics in sectors such as logistics, agriculture, and healthcare is driving the need for computer vision systems to enable precise navigation, object recognition, and manipulation. Additionally, the focus on improving product quality and reducing defects fuels the demand for computer vision solutions in manufacturing to ensure accurate inspections and streamline production processes.
Market Restraints:
The computer vision market faces certain restraints. One major challenge is the requirement of large amounts of annotated training data to train computer vision algorithms effectively. Gathering and labeling such datasets can be time-consuming, expensive, and labor-intensive. Moreover, concerns regarding data privacy, security, and ethical implications of computer vision applications, especially in surveillance and facial recognition, pose challenges for market growth. Additionally, the complexity of implementing computer vision systems, integration issues with existing infrastructure, and the need for skilled professionals hinder widespread adoption.
COVID 19 Analysis:
The COVID-19 pandemic had a mixed impact on the computer vision market. While it initially caused disruptions in manufacturing and supply chains, leading to a slowdown in the adoption of computer vision technologies, it also accelerated the demand for contactless solutions, remote monitoring, and automation. Industries such as healthcare, retail, and logistics witnessed increased interest in computer vision for applications like telemedicine, social distancing enforcement, and contactless delivery. As the world moves towards a post-COVID scenario, the computer vision market is expected to rebound and experience significant growth, driven by the need for resilient and efficient systems in various sectors.
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Market Segmentation:
- By Component - The component in the market includes Hardware and Software.
- By Application - By Application, the segment includes Face recognition, gesture recognition, and character recognition.
Regional Insights:
North America stands out as the dominant market for computer vision, primarily driven by the presence of major technology players, extensive research and development activities, and early adoption of advanced technologies. The region is home to renowned companies, such as Google, Microsoft, and NVIDIA, which are at the forefront of computer vision advancements. Moreover, North America has a well-established ecosystem that fosters innovation, including leading academic institutions and a robust startup culture. These factors contribute to the region's market dominance and continuous technological advancements.
Europe also holds a significant position in the computer vision market, propelled by the growing focus on industrial automation and the implementation of Industry 4.0 initiatives. European countries, such as Germany, France, and the United Kingdom, are at the forefront of adopting smart manufacturing practices and integrating computer vision solutions into their industrial processes. The region emphasizes the digitization of manufacturing and the application of technologies like artificial intelligence and machine learning to enhance productivity, efficiency, and quality control. Additionally, strong government support and initiatives further drive the adoption of computer vision technologies in Europe.
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Asia Pacific is witnessing rapid growth in the computer vision market, primarily due to the increasing adoption of artificial intelligence and automation across industries. Countries like China, Japan, and South Korea are leading the way in AI-driven technologies and are heavily investing in computer vision applications. The region's strong manufacturing sector, particularly in automotive, electronics, and consumer goods, creates a significant demand for computer vision solutions to optimize production processes, quality control, and safety measures. Furthermore, government initiatives and policies promoting technology adoption and innovation contribute to the market expansion in Asia Pacific.
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