International News | World news Posted on 2025-10-24 11:00:56
LONDON, GREATER LONDON, UNITED KINGDOM, October 24, 2025 /EINPresswire.com/ -- Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Growth Forecast: What To Expect By 2025. There has been a significant growth in the market size of employee recognition analytics powered by artificial intelligence (AI), and it is expected to continue escalating from $1.30 billion in 2024 to $1.60 billion in 2025, representing a compound annual growth rate (CAGR) of 23.0%. This surge witnessed during the past period is primarily due to the heightened attention on enhancing employee engagement, increased realization about the significance of employee well-being, a stronger emphasis on employee satisfaction and happiness, an escalating demand for personalised recognition initiatives, and augmented employee anticipations for constant and substantial recognition.
The market size of the employee recognition analytics sector, fueled by
artificial intelligence (AI), is projected to experience significant expansion
in the upcoming years, amounting to $3.62 billion in 2029 with a compound
annual growth rate (CAGR) of 22.6%. The expansion forecast during this period
can be related to the increasing desire to mitigate employee exhaustion through
positive reinforcement, the surge in remote and hybrid work arrangements, the
escalating requirement for employee recognition in geographically scattered
workforces, the focus on regular feedback over annual evaluations, and a rising
interest in peer acknowledgment programs. Noteworthy trends during this
forecast period encompass the incorporation of AI into HR systems, the
application of real-time analytics, the advancement of machine learning algorithms,
mobile availability, and the creation of data visualization tools.
Download a free sample of the artificial intelligence (ai)-powered
employee recognition analytics market report:
https://www.thebusinessresearchcompany.com/sample.aspx?id=28511&type=smp
What Are Key Factors Driving The Demand In The Global Artificial
Intelligence (AI)-Powered Employee Recognition Analytics Market?
The increased focus on remote and hybrid working patterns is anticipated to
boost the expansion of the artificial intelligence (AI) fuelled employee
recognition analytics market in the future. Remote and hybrid work models
denote work setups that provide flexibility for employees to either work
completely remotely or divide their time between remote and physical
workstations. The significance of these models is increasing due to employees'
rising demands for a better work-life balance. Flexible work setups offer
individuals the advantage of balancing personal and professional commitments
more efficiently while also decreasing travel time. AI-driven employee
recognition analytics prove advantageous for remote and hybrid work models as
it provides data-based, prompt acknowledgment of employee accomplishments,
regardless of their physical location. This helps in sustaining engagement,
motivation, and a sense of unity within dispersed teams. For example, the
Office for National Statistics, a UK government department, reported in
February 2022 that 42% of employees opted for a work-from-home arrangement,
showing an increase from 30% in April 2021. Consequently, the increasing focus
on remote and hybrid work models is bolstering the growth of the AI-powered
employee recognition analytics market.
Who Are The Leading Players In The Artificial Intelligence (AI)-Powered
Employee Recognition Analytics Market?
Major players in the Artificial Intelligence (AI)-Powered Employee Recognition
Analytics Global Market Report 2025 include:
• Microsoft Corporation
• IBM Corporation
• Oracle Corporation
• SAP SE
• ADP Inc.
• Workday Inc.
• Ultimate Kronos Group Inc.
• Qualtrics LLC
• O.C. Tanner
• Cornerstone OnDemand Inc.
What Are Some Emerging Trends In The Artificial Intelligence
(AI)-Powered Employee Recognition Analytics Market?
Significant players in the AI-based employee recognition analytics market are
concentrating on inventing sophisticated tools like machine learning to
strengthen customization, improve on-the-spot responses, and provide deeper
interpretation of employee performance and engagement. Machine learning
contributions in AI-driven employee recognition analytics allow for tailored
acknowledgment, instantaneous responses, and in-depth analyses of employee
engagement and performance. For example, in May 2024, Qualtrics, an American
management firm, rolled out enhanced AI-related innovations to its XM for
Employee Experience suite. It uses machine learning to track attrition risks,
condense feedback into actionable insights and recognize important behavioral
prompts throughout an employee's journey. Piloted by Qualtrics AI and an
expansive sentiment analysis database, the platform boosts employee
involvement, retention, and effectiveness. It simplifies data analysis and
provides predictive insights, allowing leaders to make quicker, more tactical
decisions to back their teams. These features assist businesses in
understanding employee requirements better and proactively responding to them
leading to enhanced performance and increased employee loyalty.
Analysis Of Major Segments Driving The Artificial Intelligence
(AI)-Powered Employee Recognition Analytics Market Growth
The artificial intelligence (AI)-powered employee recognition analytics market
covered in this report is segmented as
1) By Component: Software, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Organization Size: Small And Medium Enterprises, Large Enterprises
4) By Application: Performance Management, Employee Recognition, Communication
Or Collaboration, Surveys Or Feedback, Learning Or Development, Other
Applications
5) By End-User: Banking, Financial Services And Insurance (BFSI), Healthcare,
Information Technology And Telecommunications, Retail, Manufacturing,
Education, Other End-Users
Subsegments:
1) By Software: On-premises Software, Cloud-based Software (SaaS)
2) By Services: Managed Services, Professional Services
View the full artificial intelligence (ai)-powered employee recognition
analytics market report:
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-ai-powered-employee-recognition-analytics-global-market-report
Which Region Is Expected To Lead The Artificial Intelligence
(AI)-Powered Employee Recognition Analytics Market By 2025?
In the 2025 Global Market Report for AI-Powered Employee Recognition Analytics,
North America led in size for the year 2024. The region projecting the most
rapid growth in the forecast period is Asia-Pacific. The comprehensive report
includes regions like Asia-Pacific, Western Europe, Eastern Europe, North
America, South America, the Middle East and Africa.
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