PUBLISHER: Allied Market Research | PRODUCT CODE: 1344287
PUBLISHER: Allied Market Research | PRODUCT CODE: 1344287
According to a new report published by Allied Market Research, titled, "Image Recognition Market," The image recognition market was valued at $28.3 billion in 2022, and is estimated to reach $126.8 billion by 2032, growing at a CAGR of 16.5% from 2023 to 2032.
Increase in applications of image recognition in the healthcare sector has emerged as a significant driver of the image recognition market, revolutionizing the way medical professionals diagnose and treat patients. With the advancement of technology, image recognition techniques have become increasingly accurate and efficient, allowing healthcare providers to analyze medical images such as X-rays, MRIs, and CT scans with unprecedented precision. Furthermore, increase in automation is acting as a significant driver for the image recognition market, as businesses and industries strive for enhanced efficiency and productivity, automation has become a crucial strategy.
In addition, advancements in deep learning and computer vision significantly contribute toward the growth of the market, thus revolutionizing the way machines perceive and understand visual information. This technology has significantly enhanced image recognition capabilities, enabling systems to accurately identify and categorize objects, scenes, and even subtle details within images. However, data availability hampers the growth of the market due to increase in privacy concerns, legal regulations, and proprietary limitations. Some image data may be protected by privacy laws, making it difficult to access or use for training purposes.
Hence, intellectual property rights or proprietary restrictions may prevent the sharing or utilization of certain data sets, limiting the availability of valuable resources for training image recognition systems. Moreover, the concerns about the security of image databases and the risk of data breaches have further the hampered market growth. On the contrary, technological advancements in cloud computing have revolutionized the image recognition market, providing opportunities for businesses to leverage the power of the cloud for processing, analyzing, and understanding visual data.
The global image recognition market is segmented into component, deployment mode, technology, application, industry vertical, and region. Depending on component, the market is segregated into hardware, software, and services. By deployment mode, it is bifurcated into on-premise and cloud. According to technology, it is categorized into object recognition, QR/barcode recognition, facial recognition, pattern recognition, and optical character recognition. By application, it is fragmented into scanning & imaging, security & surveillance, image search, augmented reality, and marketing & advertising. On the basis of industry vertical, it is categorized into IT & telecom, BFSI, healthcare, retail & e-commerce, government, media & entertainment, transportation & logistics, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in image recognition market such as Amazon Web Services, INC., Catchtoom, Google, IBM, Imagga technologies ltd, Intel Corporation, LTU technologies, Microsoft Corporation, NEC Corporation, and Oracle. These players have adopted various strategies to increase their market penetration and strengthen their position in the image recognition industry.