DUBLIN--(BUSINESS WIRE)--The "Image Recognition in Retail - Global Market Outlook (2019-2027)" report has been added to ResearchAndMarkets.com's offering.
Global Image Recognition in Retail Market accounted for $1.17 billion in 2019 and is expected to reach $5.02 billion by 2027, growing at a CAGR of 20% during the forecast period.
Some of the key factors propelling the market growth are growing need for enhancing customer experience increasing use of the internet, and technological advancements. However, high risk associated with customer data thefts is the restraining factor for the growth of the market.
Image recognition is the technique by which an input image is analyzed and its category is predicted from a set of categories. It is often used to interpret live camera video and has a wide variety of applications in the retail sector.
By technology, the digital image processing segment is expected to grow at a significant market share during the forecast period as it allows images to be defined over two or more dimensions. Based on geography, North America is anticipated to hold considerable market share during the forecast period owing to the high rate of adoption of novel technologies by various enterprises present in this region.
Some of the key players in Image Recognition in Retail Market include Microsoft, IBM, Qualcomm, Google, Honeywell, NEC Corporation, Trax, blippar, Standard Cognition, Snap2Insight, Intelligence Retail, Slyce, AWS, ShelfWise, Ricoh Innovations, Zippin, Catchoom, Trigo, Deepomatic, Vispera, and ParallelDots.
What the report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2018, 2019, 2020, 2024 and 2027
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and Recommendations)
- Strategic analysis: Drivers and Constraints, Product/Technology Analysis, Porter's five forces analysis, SWOT analysis, etc.
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Key Topics Covered:
1 Executive Summary
2 Preface
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 Emerging Markets
3.9 Impact of COVID-19
4 Porters Five Forces Analysis
4.1 Bargaining Power of Suppliers
4.2 Bargaining Power of Buyers
4.3 Threat of Substitutes
4.4 Threat of New Entrants
4.5 Competitive Rivalry
5 Global Image Recognition in Retail Market, By Component
5.1 Introduction
5.2 Software
5.3 Services
5.3.1 Managed Services
5.3.2 Professional Services
6 Global Image Recognition in Retail Market, By Deployment
6.1 Introduction
6.2 Cloud
6.3 On-Premises
7 Global Image Recognition in Retail Market, By Technology
7.1 Introduction
7.2 Object Recognition
7.3 Code Recognition
7.4 Facial Recognition
7.5 Digital Image Processing
8 Global Image Recognition in Retail Market, By Application
8.1 Introduction
8.2 Marketing and Advertising
8.3 Security and Surveillance
8.4 Visual Product Search
8.5 Vision Analytics
9 Global Image Recognition in Retail Market, By Geography
10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launches
10.4 Expansions
10.5 Other Key Strategies
11 Company Profiling
11.1 Microsoft
11.2 IBM
11.3 Qualcomm
11.4 Google
11.5 Honeywell
11.6 NEC Corporation
11.7 Trax
11.8 Blippar
11.9 Standard Cognition
11.10 Snap2Insight
11.11 Intelligence Retail
11.12 Slyce
11.13 AWS
11.14 ShelfWise
11.15 Ricoh Innovations
11.16 Zippin
11.17 Catchoom
11.18 Trigo
11.19 Deepomatic
11.20 Vispera
11.21 ParallelDots
For more information about this report visit https://www.researchandmarkets.com/r/ttpvjc
