Social employee recognition systems are developed to recognize and appreciate an employee’s contribution to overall growth of an organization. Employee appreciation for involvement and efforts invested at regular intervals is important to boost their morale. In addition to perks and incentives, organizations need to take care of psychological needs of their employees as it has direct impact on employee productivity. Given a healthy work environment, employees go extra mile to set benchmark for their peers, thereby improving competition among peers. This, in turn, helps businesses to improve productivity and profit margins. Thus, social employee recognition systems have become an integral element of human resources in business organizations of almost all sizes.
Proliferation of social media is one of the major factors having positive impact on the overall growth of the social employee recognition systems market. Business organizations are inclined towards using social media platform for employee recognition, thereby giving employees a positive sense of being appreciated on the public forum. These systems are fast gaining grounds across multiple industry verticals such as IT & telecom, retail, healthcare, hospitality, and media among others. In addition, with continual advancements in technology and growing awareness regarding benefits of appreciating employees for their work, demand for social employee recognition systems are expected to witness strong growth in the coming years. The social employee recognition systems market is estimated to grow at a CAGR of 12.5% during the forecast period 2023 – 2030.
The research study titled “Global Social Employee Recognition Systems Market – Growth, Future Prospects and Competitive Analysis, 2023 – 2030” provides qualitative analysis on the global social employee recognition systems market together with the market sizing and forecasts for duration from 2020 - 2030. The research study segments the social employee recognition systems based on mode of deployment, end-use verticals, and cross-sectional analysis for different geographic regions. It provides a holistic view on market drivers, opportunities, and challenges prevailing in the industry. Furthermore, the study provides insights on the key trends prevailing in the market.
To aid strategic decision makers and investors in making decisions, the study covers competitive landscape which includes profiling of leading vendors offering social employee recognition systems, their key business strategies, market positioning, and recent developments. Some of the major manufacturers profiled in the research study include.
The research study offers a 3600 view of the global social employee recognition systems market, providing market forecasts, keeping in mind the aforementioned factors.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Social Employee Recognition Systems market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
ATTRIBUTE | DETAILS |
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Research Period | 2022-2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Year | 2022 |
Unit | USD Million |
Segmentation | |
Mode of Deployment
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End-use
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Region Segment (2022-2032; US$ Million)
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Key questions answered in this report