The on-shelf availability solution market size was valued at USD 6.0 billion in 2024 and is expected to reach USD 14.6 billion by 2032, growing at a CAGR of 11.79% during 2025-2032.
The market for on-shelf availability solutions market growth is rapidly evolving, as retailers place higher urgency on real-time shelf visibility to reduce out-of-stocks and improve the quality of the shopper experience. Using technologies, such as AI, IoT, and Image Recognition, these solutions monitor the product availability, optimizing the inventory management and improving the supply chain. Key on-shelf availability solution market trends observed in the on-shelf availability solution market include better integration with analytics platforms, shift toward cloud-based systems, and increasing demand from FMCG, grocery, and convenience retail markets. The on-shelf availability solution market analysis shows a clear trend towards digitalization and predictive stocking solutions, and becomes a key enabler that needs to emerge as a core tool for adaptive, agile retail business.
The U.S. market was worth USD 1.8 billion in 2024 and is anticipated to grow to USD 4.4 billion by 2032 at a CAGR of 11.60%. Expanding use of AI-based inventory systems, rapid requirement of real-time shelf data, and growing omnichannel retail infrastructure across leading retail chains are escalating the market growth.
Drivers:
Increased Need to Reduce Stockouts and Improve Customer Satisfaction Drives Adoption of Real-Time Shelf Monitoring Technologies
An increasing number of retailers adopt on-shelf availability solutions to enable real-time visibility of shelf-level inventory. It is required to minimize lost sales from stockouts, improve the customer experience, and optimize replenishment. Today, image recognition via AI, IoT sensors, and analytics via the cloud are enabling fast and accurate shelf stock monitoring. Real-time visibility is key to faster response times and improved operational efficiency, especially in fast-moving industries, such as FMCG. The growth of market for on-shelf availability can be ascribed to ever consumer demand for the availability of the product and its instant delivery to the users, thus retailers need to adopt newer technologies, which will provide actionable information related to shelf level.
According to a study, the Implementation of real-time shelf monitoring with predictive analytics led to a 40% drop in stockouts for best-selling products between 2020 and 2024
Restraints:
Significant Upfront and Integration Expenses Limit Adoption Among Small and Mid-Sized Retailers
The return is large, but the up-front cost of the supply chain tools and data required to implement on-shelf availability solutions can be excessive, particularly for small and mid-size retailers. Costs can be high for hardware (sensors, cameras), software integration, training employees, and maintenance. Cost and complexity are when integrating these solutions into legacy systems or multiple store formats. Without the visible ROI measurements, many companies may not take that leap. As a result, they are slower to adopt in emerging markets and small chains, with limited market penetration.
For instance, small grocery stores face about USD 200/week in stockout costs, escalating operational pressure on budget-constrained retailers.
Opportunities:
Advancements in AI and Forecasting Tools Enable Intelligent Automation of Inventory Decisions and Shelf Replenishment
The biggest opportunity may lie in merging on-shelf availability solutions with artificial intelligence and predictive analytics platforms that are next-gen. On top of sensing out-of-stock circumstances, this helps retailers anticipate a pattern of demand, optimize shelf placement, and automate restocking decisions as well. AI-driven systems can track store-specific trends, peak demands, and customer behavior to suggest smarter stocking. Advanced predictions via forecasting solutions help avoid stockouts first and foremost, which leans towards forbidding lost sales and operational waste. The retail sector is becoming increasingly data-driven, and the time is right to leverage AI-based shelf-monitoring solutions to enable retailers to track inventory accurately and ensure a better customer experience
Challenges:
Inaccurate Shelf Data and Poor System Compatibility Undermine Reliability and Hinder Seamless Retail Operations
The biggest challenge for the on-shelf availability solution market is the accuracy of data, and that it should be able to integrate with the existing retail systems seamlessly. Cameras and sensors can also generate false positives or misdetections that disrupt the replenishment process and cause inventory miscounts. On top of that, syncing these new shelf-monitoring gizmos into traditional POS systems, ERP silos, or legacy IT architecture can be a technical headache and time sink. This often necessitates custom development or third-party middleware, which can add time and cost. In addition, data silos and platform-agnosticism will also stop true real-time (or near real-time) discovery and insights. Getting past these technological challenges is essential to scaling on-shelf visibility solutions.
By Component:
The Software segment dominated the on-shelf availability solution market in 2024 and accounted for 72% of revenue share, owing to the growing application of AI-based shelf analytics and increasing adoption of real-time stock monitoring along with integration with retail ERP systems for Software solutions. Automated inventory tracking tools for retailers, as retailers focus on less manual intervention and improved accuracy. This segment will probably maintain its top-end position, largely driven by the scalability and centralized control for a wide range of store formats.
As of 2025, Retail giants (Walmart, Sainsbury’s, and Target) are extensively rolling out AI-enabled shelf tags, cameras, and ESLs to improve pricing accuracy and shelf availability.
The Service segment is projected to register the fastest CAGR, as there is high demand for managed services, consulting, and implementation. When clients are deploying state-of-the-art on-shelf visibility systems, they hire a third-party vendor to help with the integration, tuning the system, and ongoing support. The increasing adoption of SMEs and the migration to cloud-based service models will drive growth.
By Application:
The Historical Data Analysis segment dominated the On-shelf Availability Solution Market in 2024 and accounted for a significant revenue share, due to the retailers wanting to look back on old inventory data trends to predict demand and stock optimization. This can assist in taking stock of repeated stockout problems and seasonality patterns. That will continue to be important because it is tied to analytics dashboards for strategic decisions within big-box and omnichannel retail locations.
In January 2025, the U.K. retailers, such as Sainsbury’s and Tesco are using AI-powered cameras to retrospectively analyze shelf replenishment patterns, improving shelf compliance and reducing labor costs.
The Potential Risk Analysis segment is expected to register the fastest CAGR as it predicts shelf-level problems even before they materialize. As preventive supply chain management becomes more popular, retailers are transforming so that they prioritize AI-driven anomaly detection, delays detected from vendors, or logistic gap detection. A company attribute that companies are now increasingly considering as disruption-filling-based revenue loss.
By Deployment:
The On-premises segment dominated the market in 2024 and accounted for 73% of the on-shelf availability solution market share, primarily driven by big retailers (the unit with the most intense need for a comprehensive store-on-shelf availability solution) seeking full control of data security and system integration. So far, this has primarily occurred in heavily regulated industries and other sectors with legacy IT environments that require either configuration of the solution or on-premises infrastructure to maintain operations. Even though this trend is changing, the demand for cloud-based alternatives is growing.
The SaaS segment is expected to register the fastest CAGR, SaaS-based applications offer the flexibility for rapidly changing shelf requirements and updates and speed for implementations. The retailers are increasingly requiring a more dynamic, real-time shelf monitoring tool that demands minimal IT management, thus SaaS-based applications are very appealing for smaller-to-mid-sized companies in their early stages of digital transformation.
By End-Use:
The Retailers segment dominated the On-shelf Availability Solution Market in 2024 and accounted for a significant revenue share, due to a greater emphasis on physical and omnichannel stores on minimizing stockouts and maximizing customer satisfaction. Shelf data in real-time allows retailers to optimize replenishment, increase product availability, and drive sales. This stronghold arises from the factors of surging rivalry, driven customer expectations, and the augmentation of AI-based shelf analytics integration in-store.
The Online Retailers segment is expected to register the fastest CAGR owing to booming e-commerce and real-time inventory tracking from warehouse to shelf. E-commerce platforms offer cost-effective e-commerce logistics solutions for stores, fulfillment centers, and omnichannel selling by investing aggressively in shelf-level data analytics. Rapid adoption in this sector is fueled by automation, predictive restocking, and supply chain visibility.
North America dominated the on-shelf availability solution market in 2024 and accounted for 39% of revenue share, due to increased digitization of retail operations, early adoption of AI and IoT technologies, and a strong footprint of major solution providers in the U.S. and Canada. The region remains the leading one in the global share due to U.S.-based retailers such as Walmart, Target, and Kroger investing heavily in real-time shelf analytics in order to reduce stockouts and to optimize customer experience and supply chain efficiency.
Asia-Pacific is expected to register the fastest CAGR, fueled by owing to the rapid growth of organized retail, increasing needs of the consumers, and rising investment in retail automation in countries, such as China, India, Japan, and others. Fast-moving consumer goods (FMCG) retailers are among the leading adopters of smart shelf technologies, thanks to support from the region’s burgeoning e-commerce infrastructure and government-backed digital infrastructure initiatives.
Europe’s on-shelf availability solution market growth is driven by increasing adoption of AI-driven retail technologies, stringent inventory compliance regulations, and the increasing demand for automated shelf monitoring, especially in the grocery & hypermarket chains. Europe is expected to witness moderate growth in the region as retailers increasingly focus on operations that are efficient, sustainable, and centred around customers.
Germany dominated the European on-shelf availability solution market due to its strong retail infrastructure, early digital transformation initiatives, and robust investment in smart technologies. Major German retailers are adopting advanced inventory and shelf management tools to reduce waste, enhance availability, and meet consumer expectations efficiently.
The major on-shelf availability solution market companies are IBM, SAP, Intel, Zebra Technologies, Relex Solutions, Retail Insight, Trax Retail, Checkpoint Systems, SES-imagotag, Fluent Commerce, and others.
In February 2024, SAP: Announced a strategic partnership with IBM to co-develop generative AI solutions for the consumer goods and retail sectors, optimizing supply chain, sales, and finance processes.
In July 2024, Zebra Technologies: Exceeded Q2 expectations with $1.22 B revenue and $3.18 EPS; announced development of AI companion assistants for frontline workers using handheld devices.
In January 2024, Checkpoint Systems: Launched RFID-embedded inventory visibility platform aimed at reducing stockouts and improving on-shelf availability across multi-store retail environments.
| Report Attributes | Details |
| Market Size in 2024 | US$ 6.0 Billion |
| Market Size by 2032 | US$ 14.6 Billion |
| CAGR | CAGR of 11.79% From 2025 to 2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Historical Data | 2021-2023 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Software, Service) • By Application (Historical Data Analysis, Response Time Analysis, Vendor Pattern Analysis, Potential Risk Analysis) • By Deployment (On-premises, SaaS) • By End-user (CPG Manufacturers, Retailers, Online Retailers, Suppliers, Warehouses) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, Poland, Turkey, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | IBM, SAP, Intel, Zebra Technologies, Relex Solutions, Retail Insight, Trax Retail, Checkpoint Systems, SES-imagotag, Fluent Commerce and others in the report |
Ans- The expected CAGR of the On-shelf Availability Solution Market over 2025-2032 is 11.79%.
Ans- The on-shelf availability solution market size was valued at USD 6.0 billion in 2024 and is expected to reach USD 14.6 billion by 2032
Ans- Increased Need to Reduce Stockouts and Improve Customer Satisfaction Drives Adoption of Real-Time Shelf Monitoring Technologies
Ans- The Software segment dominated the on-shelf availability solution market in 2024 and accounted for 72% of revenue share
Ans- North America region dominated the On-shelf Availability Solution Market with 39% of revenue share in 2024.
Table Of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rate of On-shelf Availability Solutions, by Sector
5.2 Reduction in Stockouts Post-Implementation
5.3 AI-based Shelf Monitoring Usage Growth
5.4 Regional Investment in Shelf Visibility Tech
6. Competitive Landscape
6.1 List of Major Companies By Region
6.2 Market Share Analysis By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. On-shelf Availability Solution Market Segmentation By Component
7.1 Chapter Overview
7.2 Software
7.2.1 Software Market Trends Analysis (2021-2032)
7.2.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Service
7.3.1 Service Market Trends Analysis (2021-2032)
7.3.2 Service Market Size Estimates and Forecasts to 2032 (USD Billion)
8. On-shelf Availability Solution Market Segmentation By Application
8.1 Chapter Overview
8.2 Historical Data Analysis
8.2.1 Historical Data Analysis Market Trends Analysis (2021-2032)
8.2.2 Historical Data Analysis Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Response Time Analysis
8.3.1 Response Time Analysis Market Trends Analysis (2021-2032)
8.3.2 Response Time Analysis Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Vendor Pattern Analysis
8.4.1 Vendor Pattern Analysis Market Trends Analysis (2021-2032)
8.4.2 Vendor Pattern Analysis Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Potential Risk Analysis
8.5.1 Potential Risk Analysis Market Trends Analysis (2021-2032)
8.5.2 Potential Risk Analysis Market Size Estimates and Forecasts To 2032 (USD Billion)
9. On-shelf Availability Solution Market Segmentation By Deployment Mode
9.1 Chapter Overview
9.2 On-Premise
9.2.1 On-Premise Market Trends Analysis (2021-2032)
9.2.2 On-Premise Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 SaaS
9.3.1 SaaS Market Trends Analysis (2021-2032)
9.3.2 SaaS Market Size Estimates and Forecasts to 2032 (USD Billion)
10. On-shelf Availability Solution Market Segmentation by End-User
10.1 Chapter Overview
10.2 CPG Manufacturers
10.2.1 CPG Manufacturers Market Trends Analysis (2021-2032)
10.2.2 CPG Manufacturers Market Size Estimates and Forecasts to 2032 (USD Billion)
10.3 Retailers
10.3.1 Retailers Market Trend Analysis (2021-2032)
10.3.2 Retailers Market Size Estimates and Forecasts to 2032 (USD Billion)
10.4 Online Retailers
10.4.1 Online Retailers Market Trends Analysis (2021-2032)
10.4.2 Online Retailers Market Size Estimates and Forecasts to 2032 (USD Billion)
10.5 Suppliers
10.5.1 Suppliers Market Trends Analysis (2021-2032)
10.5.2 Suppliers Market Size Estimates and Forecasts to 2032 (USD Billion)
10.6 Warehouses
10.6.1 Warehouses Market Trends Analysis (2021-2032)
10.6.2 Warehouses Market Size Estimates and Forecasts to 2032 (USD Billion)
11. Regional Analysis
11.1 Chapter Overview
11.2 North America
11.2.1 Trend Analysis
11.2.2 North America On-shelf Availability Solution Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.2.3 North America On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.4 North America On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.5 North America On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.2.6 North America On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.2.7 USA
11.2.7.1 USA On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.7.2 USA On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.7.3 USA On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.2.7.4 USA On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.2.8 Canada
11.2.8.1 Canada On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.8.2 Canada On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.8.3 Canada On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.2.8.4 Canada On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.2.9 Mexico
11.2.9.1 Mexico On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.2.9.2 Mexico On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.2.9.3 Mexico On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.2.9.4 Mexico On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3 Europe
11.3.1 Trend Analysis
11.3.2 Europe On-shelf Availability Solution Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.3.3 Europe On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.4 Europe On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.5 Europe On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.6 Europe On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.7 Germany
11.3.7.1 Germany On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.7.2 Germany On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.7.3 Germany On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.7.4 Germany On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.8 France
11.3.8.1 France On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.8.2 France On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.8.3 France On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.8.4 France On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.9 UK
11.3.9.1 UK On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.9.2 UK On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.9.3 UK On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.9.4 UK On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.10 Italy
11.3.10.1 ItalyOn-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.10.2 Italy On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.10.3 Italy On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.10.4 Italy On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.11 Spain
11.3.11.1 Spain On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.11.2 Spain On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.11.3 Spain On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.11.4 Spain On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.12 Poland
11.3.12.1 Poland On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.12.2 Poland On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.12.3 Poland On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.12.4 Poland On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.13 Turkey
11.3.13.1 Turkey On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.13.2 Turkey On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.13.3 Turkey On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.13.4 Turkey On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.3.14 Rest of Europe
11.3.14.1 Rest of Europe On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.3.14.2 Rest of Europe On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.3.14.3 Rest of Europe On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.3.14.4 Rest of Europe On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4 Asia Pacific
11.4.1 Trend Analysis
11.4.2 Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.4.3 Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.4 Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.5 Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.6 Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4.7 China
11.4.7.1 China On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.7.2 China On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.7.3 China On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.7.4 China On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4.8 India
11.4.8.1 India On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.8.2 India On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.8.3 India On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.8.4 India On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4.9 Japan
11.4.9.1 Japan On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.9.2 Japan On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.9.3 Japan On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.9.4 Japan On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4.10 South Korea
11.4.10.1 South Korea On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.10.2 South Korea On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.10.3 South Korea On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.10.4 South Korea On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4.11 Singapore
11.4.11.1 Singapore On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.11.2 Singapore On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.11.3 Singapore On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.11.4 Singapore On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4.12 Australia
11.4.12.1 Australia On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.12.2 Australia On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.12.3 Australia On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.12.4 Australia On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.4.13 Rest of Asia Pacific
11.4.13.1 Rest of Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.4.13.2 Rest of Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.4.13.3 Rest of Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.4.13.4 Rest of Asia Pacific On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.5 Middle East and Africa
11.5.1 Trend Analysis
11.5.2 Middle East and Africa On-shelf Availability Solution Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.5.3 Middle East and Africa On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.4 Middle East and Africa On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.5 Middle East and Africa On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.5.6 Middle East and Africa On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.5.7 UAE
11.5.7.1 UAE On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.7.2 UAE On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.7.3 UAE On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.5.7.4 UAE On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.5.8 Saudi Arabia
11.5.8.1 Saudi Arabia On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.8.2 Saudi Arabia On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.8.3 Saudi Arabia On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.5.8.4 Saudi Arabia On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.5.9 Qatar
11.5.9.1 Qatar On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.9.2 Qatar On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.9.3 Qatar On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.5.1.9.4 Qatar On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.5.10 South Africa
11.5.10.1 South Africa On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.10.2 South Africa On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.10.3 South Africa On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.5.10.4 South Africa On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.5.11 Rest of Middle East & Africa
11.5.11.1 Rest of Middle East & Africa On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.5.11.2 Rest of Middle East & Africa On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.5.11.3 Rest of Middle East & Africa On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.5.11.4 Rest of Middle East & Africa On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.6 Latin America
11.6.1 Trend Analysis
11.6.2 Latin America On-shelf Availability Solution Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.6.3 Latin America On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.4 Latin America On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.5 Latin America On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.6.6 Latin America On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.6.7 Brazil
11.6.7.1 Brazil On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.7.2 Brazil On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.7.3 Brazil On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.6.7.4 Brazil On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.6.8 Argentina
11.6.8.1 Argentina On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.8.2 Argentina On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.8.3 Argentina On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.6.8.4 Argentina On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
11.6.9 Rest of Latin America
11.6.9.1 Rest of Latin America On-shelf Availability Solution Market Estimates and Forecasts By Component (2021-2032) (USD Billion)
11.6.9.2 Rest of Latin America On-shelf Availability Solution Market Estimates and Forecasts By Application (2021-2032) (USD Billion)
11.6.9.3 Rest of Latin America On-shelf Availability Solution Market Estimates and Forecasts By Deployment Mode (2021-2032) (USD Billion)
11.6.9.4 Rest of Latin America On-shelf Availability Solution Market Estimates and Forecasts by End-User (2021-2032) (USD Billion)
12. Company Profiles
12.1 IBM
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.2 SAP
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Services Offered
12.2.4 SWOT Analysis
12.3 Intel
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Services Offered
12.3.4 SWOT Analysis
12.4 Zebra Technologies
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Services Offered
12.4.4 SWOT Analysis
12.5 Relex Solutions
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Services Offered
12.5.4 SWOT Analysis
12.6 Retail Insight
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Services Offered
12.6.4 SWOT Analysis
12.7 Trax Retail
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Services Offered
12.7.4 SWOT Analysis
12.8 Checkpoint Systems
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Services Offered
12.8.4 SWOT Analysis
12.9 SES-imagotag
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Services Offered
12.9.4 SWOT Analysis
12.10 Fluent Commerce
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Services Offered
12.10.4 SWOT Analysis
13. Use Cases and Best Practices
14. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
Software
Service
By Application
Historical Data Analysis
Response Time Analysis
Vendor Pattern Analysis
Potential Risk Analysis
By Deployment
On-premises
SaaS
By End-user
CPG Manufacturers
Retailers
Online Retailers
Suppliers
Warehouses
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Poland
Turkey
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
UAE
Saudi Arabia
Qatar
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Component X Application)
Competitive Component Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players