Global Image Recognition Market Size, Market Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts, 2018 to 2023

Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition.

North America holds the largest share of the global market. Higher adoption of new and advanced technologies such as mobile application security solutions is driving the growth of this regional market. The image recognition market in Asia-Pacific is projected to grow at the highest CAGR during the forecast period. This high growth can be attributed to the high adoption of cloud, mobility, and infrastructure management solutions to address information security.

Over the next five years, Publisher projects that Image Recognition will register a xx% CAGR in terms of revenue, reach US$ xx million by 2023, from US$ xx million in 2017.

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This report presents a comprehensive overview, market shares, and growth opportunities of Image Recognition market by product type, application, key manufacturers and key regions.

To calculate the market size, Publisher considers value and volume generated from the sales of the following segments:

Segmentation by product type:
Code Recognition
Digital Image Processing
Facial Recognition
Object Recognition
Pattern Recognition
Optical Character Recognition

Segmentation by application:
BFSI
Media & Entertainment
Retail & Consumer Goods
IT & Telecom
Government
Healthcare
Transportation & Logistics
Others
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The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report:
Qualcomm
NEC
Google
LTU Technologies
Catchoom Technologies
Honeywell
Hitachi
Slyce
Wikitude
Attrasoft

 

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Some Points From Table of Content:

1 Scope of the Report

2 Executive Summary

3 Global Image Recognition by Players

4 Image Recognition by Regions

5 Americas

6 APAC

7 Europe

Continued…

 

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