The adoption of the social employee recognition system in Korea is likely to exhibit a compound annual growth rate of 9.4% through 2033. By 2033, the adoption of a social employee recognition system in Korea is likely to secure US$ 389.5 million.
The social employee recognition system industry in Korea is poised to witness significant opportunities with a US$ 193.7 million valuation in 2023. Increased technological advancement across industrial categories is the primary driver expected to drive the development of the Korean social employee recognition system.
| Attributes | Details |
|---|---|
| Industry size of Korea in 2023 | US$ 193.7 million |
| Expected Industry Size of Korea in 2033 | US$ 389.5 million |
| Forecasted CAGR between 2023 and 2033 | 9.4% |
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Principal Consultant
South Gyeongsang is home to many global and multinational companies. These organizations often adopt global HR practices, including employee recognition programs, to maintain consistency across their operations. Social employee recognition systems help foster a positive work environment by acknowledging and rewarding employees' contributions and achievements, leading to increased engagement.
Employee recognition systems that offer customization and localization features can be attractive to businesses in South Gyeongsang. They may seek solutions that allow them to adapt recognition practices to fit their unique organizational culture and values.
Increasing demand for technically advanced employee recognition systems in North Jeolla has increased demand for more efficient and advanced employee engagement solutions, driving the need for social employee recognition systems.
With a strong focus on employee engagement and productivity. Social recognition systems are gaining traction as organizations seek to boost morale and enhance teamwork.
The social employee recognition systems in Jeju are growing. The country's diverse workforce and focus on work-life balance make recognition systems appealing to businesses. The rapid growth of the IT and services sector has contributed to increased adoption as companies look to engage and retain talent.
The small & medium enterprises in Jeju are increasingly recognizing the importance of employee engagement and motivation. Jeju-based organizations may prioritize employee training and development programs. Recognition systems can be used to acknowledge and reward employees who invest in their own growth.
| Category | Market Share |
|---|---|
| Cloud-Based | 40.5% |
| Retail & Consumer Goods | 35.3% |
The employee recognition system deployed on cloud-based is expected to be the highest revenue-generating category, projected to register a share of 40.5% through 2033. The capacity of cloud-based services to reduce operating expenses and improve the number of individuals who may participate in a particular application is also propelling the cloud-based employee recognition system business ahead.
Cloud-based solutions are accessible from anywhere with an internet connection. Employees can access the recognition platform from various devices and locations, enhancing user engagement.
The cost efficiency of cloud-based solutions appeals to businesses of all sizes, from small startups to large enterprises, making cloud-based recognition systems accessible to a broad range of organizations.
Based on industry type, retail & consumer goods is the leading category, expected to account for 35.3% of the market by the end of 2033. Retail and consumer goods are highly competitive industries. Social employee recognition programs can help attract and retain top talent, creating a competitive advantage in the industry.
The social employee recognition system is mainly used in retail as retail and consumer goods companies typically have a sizable workforce, including front-line employees, sales representatives, store managers, and support staff. Employee recognition systems can help improve employee retention by acknowledging and rewarding the efforts of these workers.
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With their extensive expertise, resources, and focus on sustainability, social employee recognition system companies are actively contributing to expansion. Some market participants are concentrating on securing the largest possible market share by introducing the most cutting-edge technology through research & development tactics.
Many big players are also using mergers & acquisitions as a key strategy for expanding their geographical presence and for more business in terms of revenue.
Some of the key players in the social employee recognition system in the Korea include the following.
| Attribute | Details |
|---|---|
| Estimated Industry Size in 2023 | US$ 193.7 million |
| Projected Industry Size in 2033 | US$ 389.5 million |
| Anticipated CAGR between 2023 to 2033 | 9.4% CAGR |
| Historical Analysis of Demand for Social Employee Recognition System in Korea | 2018 to 2022 |
| Demand Forecast for Social Employee Recognition System in Korea | 2023 to 2033 |
| Report Coverage | Industry Size, Industry Trends, Analysis of key factors influencing Social Employee Recognition System in Korea, Insights on Global Players and their Industry Strategy in Korea, Ecosystem Analysis of Local and Regional Korean Providers |
| Key Cities Analyzed While Studying Opportunities in Social Employee Recognition System in Korea | South Gyeongsang, North Jeolla, South Jeolla, Jeju |
| Key Companies Profiled | Kudos; Peoplecart; Blueboard; Xoxoday; Kakao Enterprise; NICE Employee Recognition; HRPia |
The estimated valuation of the social employee recognition system in Korea is US$ 193.7 million in 2023.
The anticipated CAGR for the social employee recognition system in Korea through 2033 is 9.4%.
Social employee recognition systems demand in Korea will be US$ 389.5 million by 2033.
The cloud-based segment is expected to dominate social employee recognition systems demand.
The retail & consumer goods segment will likely remain a key contributor to social employee recognition systems demand in Korea
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 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Deployment
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033
5.3.1. Cloud
5.3.2. On-Premise
5.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033
6. Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Type
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Type, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Type, 2023 to 2033
6.3.1. SMEs
6.3.2. Large Enterprises
6.4. Y-o-Y Growth Trend Analysis By Enterprise Type, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Enterprise Type, 2023 to 2033
7. Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Industry Type
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Industry Type, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry Type, 2023 to 2033
7.3.1. Retail & CGs
7.3.2. IT & Telecom
7.3.3. Healthcare
7.3.4. Media
7.3.5. Travel
7.3.6. Manufacturing
7.3.7. Others
7.4. Y-o-Y Growth Trend Analysis By Industry Type, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Industry Type, 2023 to 2033
8. Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. South Gyeongsang
8.3.2. North Jeolla
8.3.3. South Jeolla
8.3.4. Jeju
8.3.5. Rest of Korea
8.4. Market Attractiveness Analysis By Region
9. South Gyeongsang Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Deployment
9.2.2. By Enterprise Type
9.2.3. By Industry Type
9.3. Market Attractiveness Analysis
9.3.1. By Deployment
9.3.2. By Enterprise Type
9.3.3. By Industry Type
9.4. Key Takeaways
10. North Jeolla Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Deployment
10.2.2. By Enterprise Type
10.2.3. By Industry Type
10.3. Market Attractiveness Analysis
10.3.1. By Deployment
10.3.2. By Enterprise Type
10.3.3. By Industry Type
10.4. Key Takeaways
11. South Jeolla Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Deployment
11.2.2. By Enterprise Type
11.2.3. By Industry Type
11.3. Market Attractiveness Analysis
11.3.1. By Deployment
11.3.2. By Enterprise Type
11.3.3. By Industry Type
11.4. Key Takeaways
12. Jeju Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Deployment
12.2.2. By Enterprise Type
12.2.3. By Industry Type
12.3. Market Attractiveness Analysis
12.3.1. By Deployment
12.3.2. By Enterprise Type
12.3.3. By Industry Type
12.4. Key Takeaways
13. Rest of Industry Analysis and Outlook 2018 to 2022 and Forecast 2023 to 2033
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Deployment
13.2.2. By Enterprise Type
13.2.3. By Industry Type
13.3. Market Attractiveness Analysis
13.3.1. By Deployment
13.3.2. By Enterprise Type
13.3.3. By Industry Type
13.4. Key Takeaways
14. Market Structure Analysis
14.1. Competition Dashboard
14.2. Competition Benchmarking
14.3. Market Share Analysis of Top Players
14.3.1. By Regional
14.3.2. By Deployment
14.3.3. By Enterprise Type
14.3.4. By Industry Type
15. Competition Analysis
15.1. Competition Deep Dive
15.1.1. Salesforce.com Inc.
15.1.1.1. Overview
15.1.1.2. Product Portfolio
15.1.1.3. Profitability by Market Segments
15.1.1.4. Sales Footprint
15.1.1.5. Strategy Overview
15.1.1.5.1. Marketing Strategy
15.1.2. Globoforce Ltd.
15.1.2.1. Overview
15.1.2.2. Product Portfolio
15.1.2.3. Profitability by Market Segments
15.1.2.4. Sales Footprint
15.1.2.5. Strategy Overview
15.1.2.5.1. Marketing Strategy
15.1.3. REFFIND Ltd.
15.1.3.1. Overview
15.1.3.2. Product Portfolio
15.1.3.3. Profitability by Market Segments
15.1.3.4. Sales Footprint
15.1.3.5. Strategy Overview
15.1.3.5.1. Marketing Strategy
15.1.4. Achievers Solutions Inc.
15.1.4.1. Overview
15.1.4.2. Product Portfolio
15.1.4.3. Profitability by Market Segments
15.1.4.4. Sales Footprint
15.1.4.5. Strategy Overview
15.1.4.5.1. Marketing Strategy
15.1.5. Kudos Inc.
15.1.5.1. Overview
15.1.5.2. Product Portfolio
15.1.5.3. Profitability by Market Segments
15.1.5.4. Sales Footprint
15.1.5.5. Strategy Overview
15.1.5.5.1. Marketing Strategy
15.1.6. Madison Performance Group
15.1.6.1. Overview
15.1.6.2. Product Portfolio
15.1.6.3. Profitability by Market Segments
15.1.6.4. Sales Footprint
15.1.6.5. Strategy Overview
15.1.6.5.1. Marketing Strategy
15.1.7. Recognize Services Inc.
15.1.7.1. Overview
15.1.7.2. Product Portfolio
15.1.7.3. Profitability by Market Segments
15.1.7.4. Sales Footprint
15.1.7.5. Strategy Overview
15.1.7.5.1. Marketing Strategy
15.1.8. Aurea Software Inc.
15.1.8.1. Overview
15.1.8.2. Product Portfolio
15.1.8.3. Profitability by Market Segments
15.1.8.4. Sales Footprint
15.1.8.5. Strategy Overview
15.1.8.5.1. Marketing Strategy
15.1.9. BI Worldwide Ltd.
15.1.9.1. Overview
15.1.9.2. Product Portfolio
15.1.9.3. Profitability by Market Segments
15.1.9.4. Sales Footprint
15.1.9.5. Strategy Overview
15.1.9.5.1. Marketing Strategy
15.1.10. Terryberry
15.1.10.1. Overview
15.1.10.2. Product Portfolio
15.1.10.3. Profitability by Market Segments
15.1.10.4. Sales Footprint
15.1.10.5. Strategy Overview
15.1.10.5.1. Marketing Strategy
15.1.11. YouEarnedIt
15.1.11.1. Overview
15.1.11.2. Product Portfolio
15.1.11.3. Profitability by Market Segments
15.1.11.4. Sales Footprint
15.1.11.5. Strategy Overview
15.1.11.5.1. Marketing Strategy
16. Assumptions & Acronyms Used
17. Research Methodology
Technology
April 2024
REP-GB-3300
279 pages
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Social Employee Recognition System Industry Analysis in Korea
