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The global image recognition market is expected to exhibit a CAGR of XX% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.
Image recognition refers to a technological solution used for identifying objects, people, places and actions in images. It utilizes machine vision technologies with predefined algorithms and artificial intelligence (AI) to interpret a matrix of numerical values in a digital image. The algorithm maps out a pattern or relationship in subsequent images to improve the accuracy of the results. Some of the commonly used algorithms include Principal Component Analysis (PCA), Scale-invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF). These technologies are also used for performing machine-based visual tasks, such as labeling contents of images with meta-tags, performing image content search and guiding self-driving cars, autonomous robots and accident avoidance systems.
Rapid digitization across industries, along with the widespread adoption of AI-based systems, are among the key factors driving the growth of the market. Furthermore, the increasing utilization of image recognition technologies for digital marketing applications is providing a thrust to the market growth. E-commerce service providers integrate their application’s programming interface with the image recognition tools to assist with the monitoring of return on investment (RoI) and enhancing brand productivity. Additionally, various technological advancements, such as the improvements in AI, big data and machine learning (ML) systems, are acting as other growth-inducing factors. This enables law enforcement agencies to run visual analytics for biometric scanning machines, pedestrian recognition and vehicle tracking. Other factors, including significant improvements in the information technology (IT) infrastructure, along with extensive research and development (R&D) activities, are anticipated to drive the market further.
IMARC Group provides an analysis of the key trends in each sub-segment of the global image recognition market report, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on component, technology, application, deployment type and end use industry.
Breakup by Component:
Breakup by Technology:
Breakup by Application:
Breakup by Deployment Type:
Breakup by End Use Industry:
Breakup by Region:
The report has also analysed the competitive landscape of the market with some of the key players being Amazon Web Services Inc. (Amazon.com Inc.), Attrasoft Inc., Google LLC (Alphabet Inc.), Hitachi Ltd., Honeywell International Inc., International Business Machines Corporation, Microsoft Corporation, NEC Corporation, Qualcomm Technologies Inc. (Qualcomm Incorporated), Slyce Inc. and Wikitude GmbH.
|Base Year of the Analysis||2021|
|Segment Coverage||Component, Technology, Application, Deployment Type, End Use Industry, Region|
|Region Covered||Asia Pacific, Europe, North America, Latin America, Middle East and Africa|
|Countries Covered||United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico|
|Companies Covered||Amazon Web Services Inc. (Amazon.com Inc.), Attrasoft Inc., Google LLC (Alphabet Inc.), Hitachi Ltd., Honeywell International Inc., International Business Machines Corporation, Microsoft Corporation, NEC Corporation, Qualcomm Technologies Inc. (Qualcomm Incorporated), Slyce Inc. and Wikitude GmbH|
|Customization Scope||10% Free Customization|
|Report Price and Purchase Option||Single User License: US$ 2499
Five User License: US$ 3499
Corporate License: US$ 4499
|Post-Sale Analyst Support||10-12 Weeks|
|Delivery Format||PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)|
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