Global Image Recognition in Retail Market: Trends, Growth Drivers, and Future Outlook
The Image Recognition in Retail market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
Report Scope:
| Report Attribute | Details |
| Base Year | 2022 |
| Historical Data | 2016 |
| Forecast Period | 2024 - 2028 |
| Companies Covered | Snap2Insight, Vispera, Trax, Slyce, Nec Corporation, Ricoh Innovations, IBM, Honeywell, Standard Cognition, Google, Qualcomm, Microsoft, AWS |
| Segments Covered | VisualProductSearch, SecurityandSurveillance, VisionAnalytics, MarketingandAdvertising, Others |
| Types Covered | Code Recognition, Digital Image Processing, Facial Recognition, Object Recognition, Others |
| Geographies Scope | North America (United States, Canada and Mexico), Europe (Germany, UK, France, Italy, Russia and Spain etc.), Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.), South America (Brazil, Argentina and Colombia etc.), Middle East & Africa (South Africa, UAE and Saudi Arabia etc.) |
| Customization Scope | *Free report customization with additional or alteration to country, regional or segment scope. |
The report aims to provide comprehensive details on industry structure, capacity, production, sales (consumption), price, and gross margin. Production positions, industry shares, rankings, and profiles of major manufacturers are displayed. Complete research to obtain updated government regulations, industry information, and data. Data is compiled from producers, distributors, end users, industry associations, government-industry bodies, market publications, market experts, and databases.
Global Image Recognition in Retail Market Report Segments:
The "Image Recognition in Retail market report provides a comprehensive evaluation of this business sphere underlining the major factors like growth catalysts, challenges & restraints, and other lucrative opportunities. It provides an in-depth analysis of the market segments which include products, applications, and competitor analysis.
Some of the companies that are profiled in this report are:
- Snap2Insight
- Vispera
- Trax
- Slyce
- Nec Corporation
- Ricoh Innovations
- IBM
- Honeywell
- Standard Cognition
- Qualcomm
- Microsoft
- AWS
| Company Name | Revenue (USD Million) | Market Share (%) |
| Snap2Insight | XX | XX |
| Vispera | XX | XX |
| Trax | XX | XX |
| Slyce | XX | XX |
| Nec Corporation | XX | XX |
| Ricoh Innovations | XX | XX |
| IBM | XX | XX |
| Honeywell | XX | XX |
| Standard Cognition | XX | XX |
| XX | XX | |
| Qualcomm | XX | XX |
| Microsoft | XX | XX |
| AWS | XX | XX |
By the product type, the market is primarily split into:
- Code Recognition
- Digital Image Processing
- Facial Recognition
- Object Recognition
- Others
By the application, this report covers the following segments:
- VisualProductSearch
- SecurityandSurveillance
- VisionAnalytics
- MarketingandAdvertising
- Others
Overview of the regional outlook of the Image Recognition in Retail Market:
The Image Recognition in Retail Market report provides information about the market area, which is further subdivided into sub-regions and countries/regions. In addition to the market share in each country and sub-region, this chapter of this report also contains information on profit opportunities.
➤ North America (United States, Canada, and Mexico)
➤ Europe (UK, Germany, France, Russia, and Italy)
➤ Asia-Pacific (China, Korea, Japan, India, and Southeast Asia)
➤ South America (Brazil, Colombia, Argentina, etc.)
➤ The Middle East and Africa (Saudi Arabia, UAE, Nigeria, Egypt, and South Africa)
Highlights of The Image Recognition in Retail Market Report:
• This report provides an in-depth analysis of the global Image Recognition in Retail market, and provides market size (US$ Million) and compound annual growth rate (CAGR %) for the forecast period (2023-2028), considering 2022 as the base year.
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players.
• It profiles key players in the global Image Recognition in Retail market based on the following parameters such as company highlights, product portfolio, key highlights, financial performance, and strategies.
• Key companies covered as a part of this study include Snap2Insight, Vispera, Trax, Slyce, Nec Corporation, Ricoh Innovations, IBM, Honeywell, Standard Cognition, Google, Qualcomm, Microsoft, AWS, among others.
• Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics.
• The global Image Recognition in Retail market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
• Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global Image Recognition in Retail market.
𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐌𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐲
Market IntelliX presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Image Recognition in Retail Market by Type
5.1 Image Recognition in Retail Market Overview Snapshot and Growth Engine
5.2 Image Recognition in Retail Market Overview
5.3 Code Recognition
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2028F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Code Recognition: Geographic Segmentation
5.4 Digital Image Processing
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2028F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Digital Image Processing: Geographic Segmentation
5.5 Facial Recognition
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2016-2028F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Facial Recognition: Geographic Segmentation
5.6 Object Recognition
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size (2016-2028F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 Object Recognition: Geographic Segmentation
5.7 Others
5.7.1 Introduction and Market Overview
5.7.2 Historic and Forecasted Market Size (2016-2028F)
5.7.3 Key Market Trends, Growth Factors and Opportunities
5.7.4 Others: Geographic Segmentation
Chapter 6: Image Recognition in Retail Market by Application
6.1 Image Recognition in Retail Market Overview Snapshot and Growth Engine
6.2 Image Recognition in Retail Market Overview
6.3 Visual Product Search
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2028F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Visual Product Search: Geographic Segmentation
6.4 Security and Surveillance
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2028F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Security and Surveillance: Geographic Segmentation
6.5 Vision Analytics
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2016-2028F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Vision Analytics: Geographic Segmentation
6.6 Marketing and Advertising
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2016-2028F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Marketing and Advertising: Geographic Segmentation
6.7 Others
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2016-2028F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Others: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Image Recognition in Retail Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Image Recognition in Retail Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Image Recognition in Retail Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 SNAP2INSIGHT
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 VISPERA
7.4 TRAX
7.5 SLYCE
7.6 NEC CORPORATION
7.7 RICOH INNOVATIONS
7.8 IBM
7.9 HONEYWELL
7.10 STANDARD COGNITION
7.11 GOOGLE
7.12 QUALCOMM
7.13 MICROSOFT
7.14 AWS
Chapter 8: Global Image Recognition in Retail Market Analysis, Insights and Forecast, 2016-2028
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 Code Recognition
8.2.2 Digital Image Processing
8.2.3 Facial Recognition
8.2.4 Object Recognition
8.2.5 Others
8.3 Historic and Forecasted Market Size By Application
8.3.1 Visual Product Search
8.3.2 Security and Surveillance
8.3.3 Vision Analytics
8.3.4 Marketing and Advertising
8.3.5 Others
Chapter 9: North America Image Recognition in Retail Market Analysis, Insights and Forecast, 2016-2028
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 Code Recognition
9.4.2 Digital Image Processing
9.4.3 Facial Recognition
9.4.4 Object Recognition
9.4.5 Others
9.5 Historic and Forecasted Market Size By Application
9.5.1 Visual Product Search
9.5.2 Security and Surveillance
9.5.3 Vision Analytics
9.5.4 Marketing and Advertising
9.5.5 Others
9.6 Historic and Forecast Market Size by Country
9.6.1 U.S.
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Europe Image Recognition in Retail Market Analysis, Insights and Forecast, 2016-2028
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 Code Recognition
10.4.2 Digital Image Processing
10.4.3 Facial Recognition
10.4.4 Object Recognition
10.4.5 Others
10.5 Historic and Forecasted Market Size By Application
10.5.1 Visual Product Search
10.5.2 Security and Surveillance
10.5.3 Vision Analytics
10.5.4 Marketing and Advertising
10.5.5 Others
10.6 Historic and Forecast Market Size by Country
10.6.1 Germany
10.6.2 U.K.
10.6.3 France
10.6.4 Italy
10.6.5 Russia
10.6.6 Spain
10.6.7 Rest of Europe
Chapter 11: Asia-Pacific Image Recognition in Retail Market Analysis, Insights and Forecast, 2016-2028
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 Code Recognition
11.4.2 Digital Image Processing
11.4.3 Facial Recognition
11.4.4 Object Recognition
11.4.5 Others
11.5 Historic and Forecasted Market Size By Application
11.5.1 Visual Product Search
11.5.2 Security and Surveillance
11.5.3 Vision Analytics
11.5.4 Marketing and Advertising
11.5.5 Others
11.6 Historic and Forecast Market Size by Country
11.6.1 China
11.6.2 India
11.6.3 Japan
11.6.4 Singapore
11.6.5 Australia
11.6.6 New Zealand
11.6.7 Rest of APAC
Chapter 12: Middle East & Africa Image Recognition in Retail Market Analysis, Insights and Forecast, 2016-2028
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 Code Recognition
12.4.2 Digital Image Processing
12.4.3 Facial Recognition
12.4.4 Object Recognition
12.4.5 Others
12.5 Historic and Forecasted Market Size By Application
12.5.1 Visual Product Search
12.5.2 Security and Surveillance
12.5.3 Vision Analytics
12.5.4 Marketing and Advertising
12.5.5 Others
12.6 Historic and Forecast Market Size by Country
12.6.1 Turkey
12.6.2 Saudi Arabia
12.6.3 Iran
12.6.4 UAE
12.6.5 Africa
12.6.6 Rest of MEA
Chapter 13: South America Image Recognition in Retail Market Analysis, Insights and Forecast, 2016-2028
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 Code Recognition
13.4.2 Digital Image Processing
13.4.3 Facial Recognition
13.4.4 Object Recognition
13.4.5 Others
13.5 Historic and Forecasted Market Size By Application
13.5.1 Visual Product Search
13.5.2 Security and Surveillance
13.5.3 Vision Analytics
13.5.4 Marketing and Advertising
13.5.5 Others
13.6 Historic and Forecast Market Size by Country
13.6.1 Brazil
13.6.2 Argentina
13.6.3 Rest of SA
Chapter 14 Investment Analysis
Chapter 15 Analyst Viewpoint and Conclusion
Methodology/Research Approach
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.Research Programs/Design
| Historical Data (2015-2019) |
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Market Size Estimation
Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).
The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.
Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report
The following figure shows an illustrative representation of the overall market size estimation process used for this study.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
Data Source
Secondary Sources
Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
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Primary Sources
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.
Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
Key Executives Interviewed
Key Data Information from Primary Sources
| Primary Sources | Parameters | Key Data |
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