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Image Recognition Market Rising at 20% CAGR to 2026: Analysis of Key Players, Trends, Drivers, & Challenges

Image Recognition Market 2019 report focuses on the major drivers and restraints for the Global key players. It also provides analysis of the market share, segmentation, revenue forecasts and geographic regions of the market.

The global Image Recognition Market had gathered $22.9 billion in 2018 in past and is projected to grow with a striking growth rate of 20% over the forecast period 2019-2026, divulges the latest research report presented by Big Market Research.

The image recognition refers to technologies that identify logos, places, people, building, objects, and several other variables in images. Mobile phones equipped with cameras are increasing creation of digital image and videos. Image recognition system uses the data shared by users through various platforms such as apps, social networks, and websites. The global Image Recognition market is categorized based on end-user as an uninterruptible power supply or backup in end use industries. This concept is used targeted advertising, smart photo libraries, toll booth monitoring, security surveillance, and systems for factory automation. The growth of the market can be mainly attributed to the rising demand for internet access and higher adoption of social media and web. Increasing demand for data analytics and advanced machine learning among different verticals such as BFSI and retail, has increased the demand for technology. The capability of image recognition technology to recognize and identify people and objects in images and understand the context have led the market growth.

The image recognition refers to technologies that identify logos, places, people, building, objects, and several other variables in images. Mobile phones equipped with cameras are increasing creation of digital image and videos. Image recognition system uses the data shared by users through various platforms such as apps, social networks, and websites. The global Image Recognition market is categorized based on end-user as an uninterruptible power supply or backup in end use industries. This concept is used targeted advertising, smart photo libraries, toll booth monitoring, security surveillance, and systems for factory automation.

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The growth of the market can be mainly attributed to the rising demand for internet access and higher adoption of social media and web. Increasing demand for data analytics and advanced machine learning among different verticals such as BFSI and retail, has increased the demand for technology. The capability of image recognition technology to recognize and identify people and objects in images and understand the context have led the market growth. Furthermore, high demand from datacenters is expected to create significant growth opportunity in the market over the forecast period. However, facial recognition technology is anticipated to witness an expandable growth over the forecast period of 2019-2026.

This report is a professional and comprehensive research of the global Image Recognition industry based on the major regional market situations, key driving factors, major competitors, and size & scope of the market. Firstly, the report introduces the Image Recognition market basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials, and so on. The report also presents Porter’s Five Forces model, value chain analysis, and PEST analysis. Furthermore, the competitive scenario in different regions is outlined in the report to assist leading market players, new entrants, and stakeholders determine emerging economies.

Global Image Recognition Market: Regional Segment Analysis

North America– U.S., Canada

Europe– UK, Germany.

Asia Pacific– China, India, Japan

Latin America– Brazil, Mexico, Rest of the World

The report also presents detailed information about the major players as well as some minor players of the Image Recognition sector.

Global Image Recognition Market Key Players mentioned in our report: Qualcomm Incorporated, NEC Corporation, Google Inc., LTU Technologies, Catchoom Technologies S.L., Honeywell International Inc., Hitachi, Ltd., Slyce Inc., Wikitude GmbH, Attrasoft, Inc

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The research reveals the performance of each player active in the industry. In addition, the report offers an overview of recent developments of each player in the market. All these insights provided in the report are valuable to anyone interested in investing in the Image Recognition industry. These insights may help them in determining the strength of their competitors and take the required steps to gain a dominant position in the industry.

Additionally, the research report delivers a complete analysis of the key segments of the Image Recognition sector with the help of charts, graphs, and tables. An overview of each market segment such as type, application, and region are also provided in the report. Investors, stakeholders, product managers, marketing officials, and other professionals in search of detailed data on supply, demand, and future predictions would find the report beneficial.

This research report is prepared based on an in-depth analysis of the market by expert analysts. The insights provided in the report would help stakeholders determine investment suitability and market players to take hold of opportunities for partnerships, collaborations, and agreements.

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Table of Contents

Chapter 1. Global Image Recognition Market Definition and Scope

Chapter 2. Research Methodology

Chapter 3. Executive Summary

Chapter 4. Global Image Recognition Market Dynamics

Chapter 5. Image Recognition Market, by Component

Chapter 6. Global Image Recognition Market, by Services

Chapter 7. Global Image Recognition Market, by Organization Size

Chapter 8. Image Recognition Market, by Vertical

Chapter 9. Image Recognition Market, by Regional Analysis

Chapter 10. Competitive Intelligence

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Jena Davydova

Chief editor of review team at The Innovative Reports and Market Research Analyst, Jena is an expert in the area of B2B and SaaS related products. She has worked for several B2B startups in the past and gathered a lot of first hand knowledge about the industry during that time.

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