The Global Image Recognition Market report by Emergen Research in an all-encompassing analysis of the Image Recognition market and offers a complete overview of the worldwide industry to predict market growth over the forecast period. The latest study performs the quantitative and qualitative assessment of the global market dynamics, taking into consideration a slew of factors, such as market penetration, product portfolios, pricing structure, end-user industries, and key drivers and constraints. The report segments the market to help readers get a more in-depth understanding of the different aspects of the market.

Image recognition applications include targeted advertising, smart photo libraries, accessibility for the visually impaired, media interactivity, and enhanced research capabilities. Google, Microsoft, Facebook, Pinterest, and Apple are investing in resources and research into image recognition and related applications. Improper data storage, security breaches, and misuse of facial recognition data are some of the primary concerns related to image recognition technology, which could limit adoption in several areas.

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Some Key Highlights in the Report

• Image recognition or tracking is used in augmented reality to track, detect, and augment 2D images. Image tracking is dependent on advanced computer vision technology to track and augment images. Jack Daniels augmented reality app turns whisky bottles into pop-out storybooks. The free app uses a tablet or smartphone camera to recognize the sticker on the bottle and unfolds the whole manufacturing process of the drink in a matching black and white pop-up book.
• North America accounted for largest revenue share in 2020 due to high level of integration of AI in e-commerce and digital shopping. Companies in the region are quick to adopt advanced technologies such as AI, deep learning, and cloud-based technologies, which is propelling growth of the market.
• Key players in the market include IBM Corporation, Qualcomm, Honeywell, Toshiba, Microsoft, Huawei, Oracle, NEC Corporation, Catchoom, and Slyce.

Image Recognition Market Segmentation:

Emergen Research has segmented the global image recognition market on the basis of component, application, deployment mode, technique, industry vertical, and region:

• Component Outlook (Revenue, USD Billion; 2018–2028)
  • Hardware
  • Software
  • Services
• Application Outlook (Revenue, USD Billion; 2018–2028)
  • Security and Surveillance
  • Scanning and Imaging
  • Augmented Reality
  • Image Search
  • Marketing and Advertising
• Deployment Mode Outlook (Revenue, USD Billion; 2018–2028)
  • On-premises
  • Cloud
• Technique Outlook (Revenue, USD Billion; 2018–2028)
  • Object Recognition
  • QR/ Barcode Recognition
  • Pattern Recognition
  • Facial Recognition
  • Optical Character Recognition
• Industry Vertical Outlook (Revenue, USD Billion; 2018–2028)
  • Media & Entertainment
  • Healthcare
  • Retail & E-commerce
  • BFSI
  • IT & Telecom
  • Automobile & Transportation
  • Government
  • Others

The most prominent geographical segments covered in the report include:

• North America (U.S., Canada)
• Europe (U.K., Italy, Germany, France, Rest of EU)
• Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
• Latin America (Chile, Brazil, Argentina, Rest of Latin America)
• Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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Key questions addressed in the report:

• Which are the top regions in the global Image Recognition market?
• What are the sales estimates for these regions over the forecast period?
• What will be the global market size by the end of the projected timeline?
• What is the anticipated growth rate for each region of the market?

Table of Content:

Chapter 1. Methodology & Sources
    1.1. Market Definition
    1.2. Research Scope  
    1.3. Methodology
    1.4. Research Sources
          1.4.1. Primary
          1.4.2. Secondary
          1.4.3. Paid Sources
    1.5. Market Estimation Technique
Chapter 2. Executive Summary
    2.1. Summary Snapshot, 2020-2028
Chapter 3. Key Insights
Chapter 4. Image Recognition Market Segmentation & Impact Analysis
    4.1. Image Recognition Market Material Segmentation Analysis
    4.2. Industrial Outlook
          4.2.1. Market indicators analysis
          4.2.2. Market drivers analysis
                    4.2.2.1. Rising demand for security applications and products enabled with image recognition functions
                    4.2.2.2. Increasing need for image recognition in the automotive industry
          4.2.3. Market restraints analysis 
                    4.2.3.1. High installation cost of image recognition solutions
    4.3. Technological Insights 
    4.4. Regulatory Framework
    4.5. Porter’s Five Forces Analysis
    4.6. Competitive Metric Space Analysis
    4.7. Price trend Analysis
    4.8. Covid-19 Impact Analysis

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