The utilization of on-shelf availability solution in Korea is estimated to display a promising CAGR of 8.3% through 2034. The sales of on-shelf availability solution in Korea are expected to jump from US$ 179.8 million in 2024 to US$ 397.6 million by 2034.
In recent years, digital innovations in eCommerce have transformed the face of the retail sector as well as customer expectations. To match the present expectation of an optimum shopping experience, retailers are adopting technological solutions like on-shelf availability (OSA) solutions to digitize their physical stores. Several players are presenting on-shelf availability solution integrated with artificial intelligence (AI) and image recognition (IR) to maximize store efficiency.
OSA solutions are increasingly being deployed by leading retailers in Korea. The chief reason behind OSA usage is to boost sales by diagnosing and fixing shelf and supply issues. By preventing out-of-stock incidents, retailers can sustain their customers and long-term sales.
Key providers of on-shelf availability solution in Korea are driven by the surging execution of new digital infrastructure like 5G networks. Cases of supply chain disruptions are also boosting the application of OSA solutions and software. These solutions empower end-users with automatic inventory monitoring by deploying technologies like cameras, sensors, and RFID. End-users also employ precise data to allow them to switch suppliers if supply chain disruptions are predicted.
Increasing investments in AI research and development are also expected to result in the advancement of OSA solutions. Forecasting future dynamics, retailer businesses are starting to prepare their employees for AI adoption.
| Attributes | Details |
|---|---|
| Industry size of On-shelf Availability Solution in Korea in 2024 | US$ 179.8 million |
| Expected Industry Size of On-shelf Availability Solution in Korea by 2034 | US$ 397.6 million |
| Forecast CAGR between 2024 to 2034 | 8.3% |
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| Leading Component | Software |
|---|---|
| Value Share % (2024) | 55.60% |
The software segment, as per estimations by our analysts, is anticipated to account for a value share of 55.60% in 2024. A key factor advancing the growth of this segment is the ongoing development of connective technology, which is based on on-shelf availability solution.
The increasing use of OSA software by store owners to implement corrective strategies is inducing the segment’s growth. Apart from this, the software helps predict upcoming inventory conditions like new product execution, distribution voids, and store compliance.
| Leading Application | Potential Risk Analysis |
|---|---|
| Value Share % (2024) | 32.20% |
The potential risk analysis segment is projected to account for a share of 32.20% in 2024. OSA solutions are significantly employed by retailers to mitigate potential risks that may impact sales and profitability. The requirement for potential risk analysis is increasing to avoid situations like missed sales, out-of-stock products, and customer dissatisfaction.
Potential risk analysis is crucial during promotional periods. By using OSA solutions, retailers can make the most of sales opportunities by proactively replenishing stocked-out items. Furthermore, OSA data can help assess the performance of new product launches or identify any availability issues. Accordingly, brands can modify their marketing or promotion plans. Overall, by employing OSA solutions, end-users are elevating their operational efficiency, customer satisfaction, and boosting sales.
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Key players are focusing on research and development to lead in product innovations. Companies are expanding their portfolios to include OSA solutions like data analytics, real-time inventory tracking, predictive remodeling, etc. Additionally, they can be seen partnering with other players to develop advanced versions of on-shelf availability solution. Competitors are also using their resources to upgrade their existing solutions to align well with today's challenging demands. Apart from this, players are focusing on acquisitions, mergers, and expansion strategies to drive growth.
Profiles of Leading Players of On-shelf Availability Solution in Korea
| Company Name | Company Particulars |
|---|---|
| Panasonic Corporation | Panasonic provides an extensive range of technology solutions. The on-shelf availability solution offered by the company are empowered by technologies like AI, RFID, and IR, to deliver real-time insights about product availability. These solutions help with category management and diminished revenue losses. |
| IBM Corporation | IBM Corporation is leading provider of various technological solutions, such as on-shelf availability solution. These solutions are integrated with various latest technologies like RFID, artificial intelligence, and image recognition. In the past, company partnered with SAP to co-create solutions for consumer and retail packaged goods. The company is also investing in the development of retail transformation tools. |
| Impinj, Inc | The company provides on-shelf availability solution that utilize RFID tags to locate the products and present real-time data on product availability. The wide-area RFID system completely automates inventory process by eliminating the requirement for hand-held readers. Retailers are planning to deploy OSA solutions across Korea. |
| Retail Solutions, Inc. | The company provides on-shelf availability solution that combine image recognition, RFID, and sensor technology to offer real-time data on product availability. These solutions are utilized by various retailers across Korea, including supermarkets, convenience stores, and department stores. These solutions help manage retail sales across product portfolio by maximizing on-shelf availability and increasing sales. |
| Mindtree Ltd. | The company offers digital transformation and technological services. The company provides OSA solutions, that help recapture money lost in sales and improve shopper satisfaction and retention. |
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| Attribute | Details |
|---|---|
| Estimated Industry Size of On-shelf Availability Solution in Korea in 2024 | US$ 179.8 million |
| Projected Industry Size by 2034 | US$ 397.6 million |
| Anticipated CAGR between 2024 to 2034 | 8.3% CAGR |
| Historical Analysis of Demand for On-shelf Availability Solution in Korea | 2019 to 2023 |
| Demand Forecast for On-shelf Availability Solution in Korea | 2024 to 2034 |
| By Component | Software, Service |
| By Application | Historical Data Analysis, Response Time Analysis, Vendor Pattern Analysis, Potential Risk Analysis |
| By Deployment Type | On-premises, SaaS |
| By End User | CPG Manufacturers, Retailers, Online Retailers, Suppliers, Warehouses |
| Report Coverage | Industry Size, Industry Trends, Analysis of Key Factors Influencing On-shelf Availability Solution Deployment in Korea, Insights on Korea Players and their Industry Strategy in Korea, Ecosystem Analysis of Local and Regional Korea Providers |
| Key Companies Profiled for On-shelf Availability Solution in Korea | IBM Corporation; Panasonic Corporation; Impinj, Inc.; Verix; Mindtree Ltd.; eBest IOT; Retail Solutions, Inc.; Frontier Field Marketing; Lokad; Others |
The anticipated CAGR through 2034 is 8.3%.
Demand for on-shelf availability solution in Korea is expected to be US$ 397.6 million by 2034.
Research and development is expected to be a default strategy for players.
Software component is a highly deployed on-shelf availability solution.
Potential risk analysis is a significant application segment for on-shelf availability solution.
1. Executive Summary 1.1. Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.7. Regional Parent Market Outlook 4. Industry Analysis and Outlook 2019 to 2023 and Forecast, 2024 to 2034 4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023 4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2019 to 2023 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2024 to 2034 5.3.1. Software 5.3.2. Service 5.4. Y-o-Y Growth Trend Analysis By Component, 2019 to 2023 5.5. Absolute $ Opportunity Analysis By Component, 2024 to 2034 6. Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2019 to 2023 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2024 to 2034 6.3.1. Historical Data Analysis 6.3.2. Response Time Analysis 6.3.3. Vendor Pattern Analysis 6.3.4. Potential Risk Analysis 6.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023 6.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034 7. Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034, By Deployment Type 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2019 to 2023 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2024 to 2034 7.3.1. On-premises 7.3.2. SaaS 7.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2019 to 2023 7.5. Absolute $ Opportunity Analysis By Deployment Type, 2024 to 2034 8. Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034, By End User 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2019 to 2023 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2024 to 2034 8.3.1. CPG Manufacturers 8.3.2. Retailers 8.3.3. Online Retailers 8.3.4. Suppliers 8.3.5. Warehouses 8.4. Y-o-Y Growth Trend Analysis By End User, 2019 to 2023 8.5. Absolute $ Opportunity Analysis By End User, 2024 to 2034 9. Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034 9.3.1. South Gyeongsang 9.3.2. North Jeolla 9.3.3. South Jeolla 9.3.4. Jeju 9.3.5. Rest of Korea 9.4. Market Attractiveness Analysis By Region 10. South Gyeongsang Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 10.2.1. By Component 10.2.2. By Application 10.2.3. By Deployment Type 10.2.4. By End User 10.3. Market Attractiveness Analysis 10.3.1. By Component 10.3.2. By Application 10.3.3. By Deployment Type 10.3.4. By End User 10.4. Key Takeaways 11. North Jeolla Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 11.2.1. By Component 11.2.2. By Application 11.2.3. By Deployment Type 11.2.4. By End User 11.3. Market Attractiveness Analysis 11.3.1. By Component 11.3.2. By Application 11.3.3. By Deployment Type 11.3.4. By End User 11.4. Key Takeaways 12. South Jeolla Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 12.2.1. By Component 12.2.2. By Application 12.2.3. By Deployment Type 12.2.4. By End User 12.3. Market Attractiveness Analysis 12.3.1. By Component 12.3.2. By Application 12.3.3. By Deployment Type 12.3.4. By End User 12.4. Key Takeaways 13. Jeju Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 13.2.1. By Component 13.2.2. By Application 13.2.3. By Deployment Type 13.2.4. By End User 13.3. Market Attractiveness Analysis 13.3.1. By Component 13.3.2. By Application 13.3.3. By Deployment Type 13.3.4. By End User 13.4. Key Takeaways 14. Rest of Industry Analysis and Outlook 2019 to 2023 and Forecast 2024 to 2034 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034 14.2.1. By Component 14.2.2. By Application 14.2.3. By Deployment Type 14.2.4. By End User 14.3. Market Attractiveness Analysis 14.3.1. By Component 14.3.2. By Application 14.3.3. By Deployment Type 14.3.4. By End User 14.4. Key Takeaways 15. Market Structure Analysis 15.1. Competition Dashboard 15.2. Competition Benchmarking 15.3. Market Share Analysis of Top Players 15.3.1. By Regional 15.3.2. By Component 15.3.3. By Application 15.3.4. By Deployment Type 15.3.5. By End User 16. Competition Analysis 16.1. Competition Deep Dive 16.1.1. NEOGRID 16.1.1.1. Overview 16.1.1.2. Product Portfolio 16.1.1.3. Profitability by Market Segments 16.1.1.4. Sales Footprint 16.1.1.5. Strategy Overview 16.1.1.5.1. Marketing Strategy 16.1.2. eBest IOT 16.1.2.1. Overview 16.1.2.2. Product Portfolio 16.1.2.3. Profitability by Market Segments 16.1.2.4. Sales Footprint 16.1.2.5. Strategy Overview 16.1.2.5.1. Marketing Strategy 16.1.3. SAP SE 16.1.3.1. Overview 16.1.3.2. Product Portfolio 16.1.3.3. Profitability by Market Segments 16.1.3.4. Sales Footprint 16.1.3.5. Strategy Overview 16.1.3.5.1. Marketing Strategy 16.1.4. Impinj, Inc. 16.1.4.1. Overview 16.1.4.2. Product Portfolio 16.1.4.3. Profitability by Market Segments 16.1.4.4. Sales Footprint 16.1.4.5. Strategy Overview 16.1.4.5.1. Marketing Strategy 16.1.5. Mindtree Ltd. 16.1.5.1. Overview 16.1.5.2. Product Portfolio 16.1.5.3. Profitability by Market Segments 16.1.5.4. Sales Footprint 16.1.5.5. Strategy Overview 16.1.5.5.1. Marketing Strategy 16.1.6. Retail Solutions Inc. 16.1.6.1. Overview 16.1.6.2. Product Portfolio 16.1.6.3. Profitability by Market Segments 16.1.6.4. Sales Footprint 16.1.6.5. Strategy Overview 16.1.6.5.1. Marketing Strategy 16.1.7. Retail Velocity 16.1.7.1. Overview 16.1.7.2. Product Portfolio 16.1.7.3. Profitability by Market Segments 16.1.7.4. Sales Footprint 16.1.7.5. Strategy Overview 16.1.7.5.1. Marketing Strategy 16.1.8. Market6, Inc. 16.1.8.1. Overview 16.1.8.2. Product Portfolio 16.1.8.3. Profitability by Market Segments 16.1.8.4. Sales Footprint 16.1.8.5. Strategy Overview 16.1.8.5.1. Marketing Strategy 16.1.9. Lokad 16.1.9.1. Overview 16.1.9.2. Product Portfolio 16.1.9.3. Profitability by Market Segments 16.1.9.4. Sales Footprint 16.1.9.5. Strategy Overview 16.1.9.5.1. Marketing Strategy 16.1.10. Verix 16.1.10.1. Overview 16.1.10.2. Product Portfolio 16.1.10.3. Profitability by Market Segments 16.1.10.4. Sales Footprint 16.1.10.5. Strategy Overview 16.1.10.5.1. Marketing Strategy 16.1.11. Frontier Field Marketing 16.1.11.1. Overview 16.1.11.2. Product Portfolio 16.1.11.3. Profitability by Market Segments 16.1.11.4. Sales Footprint 16.1.11.5. Strategy Overview 16.1.11.5.1. Marketing Strategy 16.1.12. International Business Machines Corporation 16.1.12.1. Overview 16.1.12.2. Product Portfolio 16.1.12.3. Profitability by Market Segments 16.1.12.4. Sales Footprint 16.1.12.5. Strategy Overview 16.1.12.5.1. Marketing Strategy 16.1.13. Panasonic Corporation 16.1.13.1. Overview 16.1.13.2. Product Portfolio 16.1.13.3. Profitability by Market Segments 16.1.13.4. Sales Footprint 16.1.13.5. Strategy Overview 16.1.13.5.1. Marketing Strategy 16.1.14. Enterra Solutions LLC 16.1.14.1. Overview 16.1.14.2. Product Portfolio 16.1.14.3. Profitability by Market Segments 16.1.14.4. Sales Footprint 16.1.14.5. Strategy Overview 16.1.14.5.1. Marketing Strategy 17. Assumptions & Acronyms Used 18. Research Methodology
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On-shelf Availability Solution Industry Analysis in Korea
