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Image Recognition Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

Image Recognition Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

  • September 2021
  • 147 pages
  • ID: 5981488
  • Format: PDF
  • IMARC Group

Summary

Table of Contents

The global image recognition market exhibited strong growth during 2015-2020.

Looking forward, the analyst expects the market to grow at a CAGR of around 17% during 2021-2026. 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.

Key Market Segmentation:
the analyst provides an analysis of the key trends in each sub-segment of the global image recognition market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on component, technology, application, deployment type and end use industry.

Breakup by Component:
Hardware
Software
Services

Breakup by Technology:
Object Detection
QR/Barcode Recognition
Facial Recognition
Pattern Recognition
Optical Character Recognition
Others

Breakup by Application:
Scanning and Imaging
Security and Surveillance
Image Searching
Augmented Reality
Marketing and Advertising
Others

Breakup by Deployment Type:
On-premises
Cloud-based

Breakup by End Use Industry:
BFSI
Media and Entertainment
IT and Telecom
Government
Healthcare
Transportation and Logistics
Others

Breakup by Region:
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

Competitive Landscape:
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. Key Questions Answered in This Report:
How has the global image recognition market performed so far and how will it perform in the coming years?
What has been the impact of COVID-19 on the global image recognition market?
What are the key regional markets?
What is the breakup of the market based on the component?
What is the breakup of the market based on the technology?
What is the breakup of the market based on the application?
What is the breakup of the market based on the deployment type?
What is the breakup of the market based on the end use industry?
What are the various stages in the value chain of the industry?
What are the key driving factors and challenges in the industry?
What is the structure of the global image recognition market and who are the key players?
What is the degree of competition in the industry?

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