Artificial Intelligence (AI)-Powered Employee Recognition Analytics Global Market Report 2025
상품코드:1872776
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
인공지능(AI) 기반 직원 표창 분석 시장 규모는 최근 급격히 확대되고 있습니다. 2024년의 13억 달러로 평가되었고, 2025년에 16억 달러에 이를 것으로 예측되며, CAGR은 23.0%를 나타낼 전망입니다. 지금까지의 성장은 직원 참여도 향상, 직원 복지 인식 제고, 직원 만족도와 행복에 대한 관심 증가, 맞춤형 표창 프로그램 수요 증가, 빈번하고 의미 있는 표창에 대한 기대치 상승 등에 힘입어 이루어졌습니다.
인공지능(AI) 기반 직원 표창 분석 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 36억 2,000만 달러에 이를 것으로 예측되며, CAGR은 22.6%를 나타낼 전망입니다. 예측 기간 동안의 성장은 긍정적 강화로 직원 번아웃을 줄여야 할 필요성, 원격 및 하이브리드 근무 모델의 광범위한 채택, 분산된 팀에서 표창의 중요성 증가, 연간 평가 대신 지속적인 피드백 강조, 동료 간 표창 프로그램에 대한 관심 증가 등으로 인해 발생할 것으로 예상됩니다. 예측 기간 동안 예상되는 주요 트렌드로는 HR 시스템에 AI 통합, 실시간 분석 도입, 머신러닝 알고리즘 개발, 모바일 접근성, 데이터 시각화 도구 확장이 포함됩니다.
원격 및 하이브리드 근무 모델의 확산은 AI 기반 직원 표창 분석 시장 성장을 뒷받침할 것으로 전망됩니다. 이러한 근무 형태는 직원들이 완전히 원격으로 근무하거나 원격과 현장 근무를 병행할 수 있게 합니다. 유연한 근무로의 전환은 개인이 통근 시간을 줄이면서 개인적 및 직업적 책임을 더 효과적으로 관리할 수 있게 해주는 더 나은 일과 삶의 균형에 대한 갈망이 커지면서 추진되고 있습니다. AI 기반 직원 표창 분석은 물리적 위치와 관계없이 직원 성과를 시기적절하고 데이터 기반 방식으로 표창할 수 있게 함으로써 이러한 모델을 지원하며, 조직이 분산된 팀 전반에 걸쳐 참여도, 동기 부여 및 연결성을 유지하는 데 도움을 줍니다. 예를 들어, 2022년 2월 영국 국가통계청(ONS)은 재택근무 직원 비율이 2021년 4월 30%에서 42%로 증가했다고 보고했습니다. 이러한 유연한 근무 방식에 대한 강조가 확대되면서 인공지능 기반 직원 성과 분석 시장도 성장하고 있습니다.
인공지능(AI) 기반 직원 표창 분석 시장의 기업은 개인화, 실시간 피드백, 직원 참여도와 성과에 대한 인사이트를 개선하기 위한 AI 혁신에 주력하고 있습니다. 머신러닝은 시스템이 행동을 분석하고 성과를 표창하며 맞춤형 피드백을 제공하도록 하여 더 의미 있는 직원 표창을 가능하게 합니다. 예를 들어, 2024년 5월 퀄트릭스는 XM for Employee Experience 제품군에 고급 AI 기반 기능을 도입했습니다. 이 기능들은 머신러닝을 활용해 잠재적 이직 징후를 탐지하고, 직원 피드백을 실행 가능한 인사이트로 전환하며, 직원 여정 전반의 행동 패턴을 식별합니다. Qualtrics AI와 포괄적인 감정 데이터베이스로 구동되는 이 플랫폼은 조직이 참여도를 높이고, 유지율을 개선하며, 생산성을 증진하는 데 도움을 줍니다. 데이터 분석을 자동화하고 예측적 인사이트를 제공함으로써 관리자가 팀 성과와 직원 만족도를 지원하는 더 빠르고 정보에 기반한 의사결정을 내릴 수 있도록 합니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 이용 산업의 분석
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 성장률 분석
세계의 인공지능(AI) 기반 직원 표창 분석 시장 실적 : 규모와 성장(2019-2024년)
세계의 인공지능(AI) 기반 직원 표창 분석 시장 예측 : 규모와 성장(2024-2029년, 2034년)
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 총 잠재 시장 규모(TAM)
제6장 시장 세분화
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 컴포넌트별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
소프트웨어
서비스
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 전개 모드별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
온프레미스
클라우드
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 조직 규모별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
중소기업
대기업
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 용도별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
성과 관리
직원 표창
커뮤니케이션 또는 협업
조사 또는 피드백
학습 또는 개발
기타 용도
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 최종 사용자별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
은행, 금융서비스 및 보험(BFSI)
헬스케어
정보기술 및 통신
소매
제조업
교육
기타 최종 사용자
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 소프트웨어, 유형별 세분화, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
온프레미스 소프트웨어
클라우드 기반 소프트웨어(SaaS)
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 서비스, 유형별 세분화, 분석과 예측
관리형 서비스
전문 서비스
제7장 지역별 및 국가별 분석
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 지역별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
세계의 인공지능(AI) 기반 직원 표창 분석 시장 : 국가별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 프로파일
인공지능(AI) 기반 직원 표창 분석 시장 : 경쟁 구도
인공지능(AI) 기반 직원 표창 분석 시장 : 기업 프로파일
Microsoft Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
IBM Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
Oracle Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
SAP SE : 개요, 제품 및 서비스, 전략 및 재무 분석
ADP Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
제31장 기타 주요 기업 및 혁신 기업
Workday Inc.
Ultimate Kronos Group Inc.
Qualtrics LLC
OC Tanner
Cornerstone OnDemand Inc.
Culture Amp Pty. Ltd.
Achievers Solutions Inc.
Reward Gateway Ltd.
Ceridian HCM Inc.
Lattice
Reflektive Inc.
Motivosity Inc.
Quantum Workplace Companies
TinyPulse
Peakon
제32장 세계 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문, 전략
인공지능(AI) 기반 직원 표창 분석 시장(2029년) : 새로운 기회를 제공하는 국가
인공지능(AI) 기반 직원 표창 분석 시장(2029년) : 새로운 기회를 제공하는 부문
인공지능(AI) 기반 직원 표창 분석 시장(2029년) : 성장 전략
시장 동향에 기초한 전략
경쟁 전략
제36장 부록
HBR
영문 목차
영문목차
Artificial intelligence (AI) powered employee recognition analytics is a technology driven approach that leverages AI to assess and understand employee performance and contributions. It examines workplace data to identify patterns and insights that highlight achievements and behaviors deserving recognition.
The main components of artificial intelligence (AI) powered employee recognition analytics are software and services. Software consists of AI enabled platforms and applications that provide employee recognition analytics. Deployment options include on premises and cloud, serving small and medium enterprises as well as large organizations. Applications cover performance management, employee recognition, communication and collaboration, surveys and feedback, learning and development, and more. Key end users include banking, financial services and insurance (BFSI), healthcare, information technology and telecommunications, retail, manufacturing, education, and others.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.
The artificial intelligence (AI)-powered employee recognition analytics market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-powered employee recognition analytics market statistics, including artificial intelligence (AI)-powered employee recognition analytics industry global market size, regional shares, competitors with a artificial intelligence (AI)-powered employee recognition analytics market share, detailed artificial intelligence (AI)-powered employee recognition analytics market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered employee recognition analytics industry. This artificial intelligence (AI)-powered employee recognition analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence (AI)-powered employee recognition analytics market size has grown exponentially in recent years. It will grow from $1.30 billion in 2024 to $1.60 billion in 2025 at a compound annual growth rate (CAGR) of 23.0%. Growth in the historic period was driven by increasing attention to enhancing employee engagement, rising awareness of employee well being, stronger focus on employee satisfaction and happiness, growing demand for personalized recognition programs, and higher expectations for frequent and meaningful recognition.
The artificial intelligence (AI)-powered employee recognition analytics market size is expected to see exponential growth in the next few years. It will grow to $3.62 billion in 2029 at a compound annual growth rate (CAGR) of 22.6%. Growth in the forecast period is expected to result from the need to reduce employee burnout through positive reinforcement, wider adoption of remote and hybrid work models, increased importance of recognition in distributed teams, emphasis on continuous feedback instead of annual reviews, and growing interest in peer to peer recognition programs. Key trends projected for the forecast period include integration of AI into HR systems, adoption of real time analytics, development of machine learning algorithms, mobile accessibility, and expansion of data visualization tools.
The rising adoption of remote and hybrid work models is expected to support the growth of the market for AI-powered employee recognition analytics. These work arrangements allow employees to operate entirely from remote locations or divide their time between remote and on-site settings. The shift toward flexible work is being driven by a growing desire for better work-life balance, as it allows individuals to manage both personal and professional responsibilities more effectively while reducing time spent commuting. AI-powered employee recognition analytics supports these models by enabling timely, data-driven recognition of employee achievements regardless of physical location, helping organizations maintain engagement, motivation, and connection across distributed teams. For example, in February 2022, the UK Office for National Statistics reported that 42% of employees were working from home, up from 30% in April 2021. This growing emphasis on flexible work arrangements is contributing to the expansion of the AI-powered employee recognition analytics market.
Companies in the artificial intelligence (AI)-powered employee recognition analytics market are focusing on AI innovations to improve personalization, real-time feedback, and insights into employee engagement and performance. Machine learning enables systems to analyze behavior, recognize achievements, and deliver tailored feedback, resulting in more meaningful employee recognition. For example, in May 2024, Qualtrics introduced advanced AI-driven features in its XM for Employee Experience suite. These features use machine learning to detect signs of potential attrition, transform employee feedback into actionable insights, and identify behavioral trends throughout the employee journey. The platform, powered by Qualtrics AI and a comprehensive sentiment database, helps organizations enhance engagement, improve retention, and boost productivity. By automating data analysis and offering predictive insights, it allows managers to make faster, more informed decisions that support team success and employee satisfaction.
In May 2025, Nectar, a company based in the United States that specializes in AI-powered employee recognition analytics, partnered with the Society for Human Resource Management to enhance employee recognition and rewards. The partnership provides SHRM members with exclusive pricing and access to Nectar's platform, which integrates with HR information systems and communication tools to promote peer recognition aligned with organizational values. SHRM's adoption of the platform further establishes its credibility as a valuable resource for improving employee engagement and retention. The Society for Human Resource Management is a professional organization representing HR professionals in the United States.
Major players in the artificial intelligence (AI)-powered employee recognition analytics market are Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, ADP Inc., Workday Inc., Ultimate Kronos Group Inc., Qualtrics LLC, O.C. Tanner, Cornerstone OnDemand Inc., Culture Amp Pty. Ltd., Achievers Solutions Inc., Reward Gateway Ltd., Ceridian HCM Inc., Lattice, Reflektive Inc., Motivosity Inc., Quantum Workplace Companies, TinyPulse, Peakon, Bonusly, Leena AI, and Kazoo Ltd.
North America was the largest region in the artificial intelligence (AI)-powered employee recognition analytics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-powered employee recognition analytics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the artificial intelligence (AI)-powered employee recognition analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI)-powered employee recognition analytics market includes revenues earned by entities by providing services such as performance milestone identification, behavioral pattern recognition, predictive recognition analytics, and real-time recognition automation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Artificial Intelligence (AI)-Powered Employee Recognition Analytics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on artificial intelligence (ai)-powered employee recognition analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for artificial intelligence (ai)-powered employee recognition analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-powered employee recognition analytics market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered: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
4. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market
4.1. Supply Chain Impact from Tariff War & Trade Protectionism
5. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Growth Analysis And Strategic Analysis Framework
5.1. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
