Image Recognition Technology Market 2019

Wiseguyreports.Com adds “Image Recognition Technology Market –Market Demand, Growth, Opportunities, Analysis of Top Key Players and Forecast to 2025” To Its Research Database.

Report Details:

This report provides in depth study of “Image Recognition Technology Market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Image Recognition Technology Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organization such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organization.

Image recognition technology is the process of identifying and detecting an object or a feature in a digital image or video. The field of image recognition has gained widespread acclaims in the past few years. Image recognition system uses the data shared by users through various platforms such as social networks, apps, and websites. It uses a technology that detects places, people, items, buildings, logos, and different variables in pictures with the help of artificial intelligence. This concept is used in many applications such as smart photo libraries, targeted advertising, security surveillance, toll booth monitoring, and systems for factory automation 

The report, at first, has given a brief understanding of the industry via a basic overview. This overview includes the definition, key applications of the product, and the manufacturing technology employed for such production. The global Image Recognition Technology market has been analyzed in detail to gain an understanding of the competitive landscape, key regional status, and recent trends noted in the relevant industry. This analysis also includes the price margins of the product, along with risk factors that are associated with manufacturers. The report on Image Recognition Technology market has explored various market dynamics that hold a significant influence during the forecast period of 2019 to 2025.

The Leading key players covered in this study 
IBM Corporation 
Imagga Technologies 
Amazon Web Services 
Qualcomm Incorporated 
Google 
Microsoft Corporation 
NEC Corporation 
LTU technologies 
Catchoom Technologies 
Intel Corporation

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This research report categorizes the global Image Recognition Technology market by top players/brands, region, type and end user. This report also studies the global Image Recognition Technology market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels and distributors.

Market split by Type, can be divided into: 
Object Detection 
QR/Barcode Recognition 
Facial Recognition 
Pattern Recognition 
Optical Character Recognition

Market split by Application, can be divided into: 
IT & Telecom 
BFSI 
Healthcare 
Retail 
Government 
Media & Entertainment 
Transportation & Logistics 
Manufacturing 
Others

Market segment by Region/Country including: 

This report centers around the worldwide Image Recognition Technology status, future conjecture, development opportunity, key market and key players. The examination goals are to show the Image Recognition Technology advancement in North America, Europe, China, Japan, Southeast Asia, India and Central and South America.

North America 
Europe 
China 
Japan 
Southeast Asia 
India 
Central & South America

Key Stakeholders 
Image Recognition Technology Manufacturers 
Image Recognition Technology Distributors/Traders/Wholesalers 
Image Recognition Technology Subcomponent Manufacturers 
Industry Association 
Downstream Vendors

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Major Key Points from Table of Content:

Chapter 1 Report Overview 
Chapter 2 Global Growth Trends
Chapter 3 Market Share by Key Players
Chapter 4 Breakdown Data by Type and Application
Chapter 5 North America
Chapter 6 Europe 
Chapter 7 China
Chapter 8 Japan
Chapter 9 Southeast Asia
Chapter 10 India
Chapter 11 Central & South America
Chapter 12 International Players Profiles 

Continued….

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