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1872776

2025年人工智慧（AI）員工獎勵分析全球市場報告

Artificial Intelligence (AI)-Powered Employee Recognition Analytics Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

近年來，基於人工智慧（AI）的員工獎勵分析市場發展迅速，預計將從2024年的13億美元成長到2025年的16億美元，複合年成長率（CAGR）為23.0%。這一成長主要受以下因素驅動：人們越來越重視提高員工敬業度、對員工福祉的關注度不斷提高、對員工滿意度和幸福感的重視程度不斷提高、對獎勵計劃的需求不斷成長，以及對更頻繁、更有意義的獎勵的期望不斷提高。

未來幾年，人工智慧 (AI) 賦能的員工獎勵分析市場預計將呈指數級成長，到 2029 年市場規模將達到 36.2 億美元，複合年成長率 (CAGR) 為 22.6%。預測期內的成長預計將受到以下因素的驅動：透過積極激勵來降低員工倦怠感的需求；遠端和混合辦公模式的日益普及；分散式團隊中獎勵的重要性日益凸顯；對持續反饋而非年度考核的重視；以及對P2P獎勵項目的興趣日益濃厚。預測期內的主要趨勢包括：將人工智慧整合到人力資源系統中；採用即時分析；開發機器學習演算法；行動端可存取性；以及資料視覺化工具的擴展。

遠距辦公和混合辦公模式的日益普及預計將推動人工智慧驅動的員工績效分析市場成長。這些工作安排允許員工完全遠距辦公，或在遠距辦公和現場辦公之間靈活分配時間。這種朝向彈性辦公模式的轉變源自於人們對工作與生活平衡日益成長的需求，使員工能夠減少通勤時間，同時更有效地兼顧個人和專業責任。人工智慧驅動的員工績效分析能夠對員工績效進行及時、數據驅動的評估，不受地理限制，有助於企業在分散的團隊中保持員工的參與、積極性和凝聚力。例如，根據英國國家統計局2022年2月發布的數據，在家工作的員工比例從2021年4月的30%上升至42%。這種對彈性辦公安排日益成長的關注正在推動人工智慧驅動的員工績效分析市場的擴張。

在人工智慧 (AI) 驅動的員工認可分析市場，各公司正致力於透過 AI 創新來提升個人化體驗、提供即時回饋，並更深入了解員工敬業度和績效。機器學習使系統能夠分析員工行為、認可員工成就並提供個人化回饋，從而實現更有意義的員工認可。例如，Qualtrics 於 2024 年 5 月在其「XM for Employee Experience」（員工體驗管理）套件中引入了先進的 AI 驅動功能。這些功能利用機器學習來偵測員工流失徵兆、將員工回饋轉化為可執行的洞察，並識別員工職涯發展路徑中的行為趨勢。該平台由 Qualtrics AI 和全面的情感資料庫提供支援，可協助企業提高員工敬業度、留任率和生產力。透過自動化數據分析和提供預測性洞察，管理者可以更快地做出更明智的決策，從而支持團隊成功和員工滿意度。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧 (AI) 驅動的員工獎勵分析市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球人工智慧（AI）員工獎勵分析市場：成長率分析
  • 全球人工智慧（AI）驅動的員工獎勵分析市場表現：規模與成長，2019-2024年
  • 全球人工智慧 (AI) 驅動的員工獎勵分析市場預測：規模和成長，2024-2029 年，2034 年預測
  • 全球人工智慧 (AI) 驅動的員工獎勵分析市場：潛在市場規模 (TAM)

第6章 市場細分

  • 全球人工智慧 (AI) 驅動的員工獎勵分析市場：按組件分類，實際結果和預測，2019-2024 年、2024-2029 年預測、2034 年預測
  • 軟體
  • 服務
  • 全球人工智慧（AI）員工獎勵分析市場：按部署模式、實際結果和預測（2019-2024年、2024-2029年預測、2034年預測）分類
  • 本地部署
  • 雲
  • 全球基於人工智慧 (AI) 的員工獎勵分析市場：按組織規模分類，實際結果和預測，2019-2024 年、2024-2029 年預測、2034 年預測
  • 小型企業
  • 主要企業
  • 全球基於人工智慧 (AI) 的員工獎勵分析市場：按應用、效能和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測
  • 績效管理
  • 員工獎勵
  • 溝通或協作
  • 調查或回饋
  • 學習或發展
  • 其他用途
  • 全球基於人工智慧 (AI) 的員工獎勵分析市場：按最終用戶分類，實際結果和預測，2019-2024 年、2024-2029 年預測、2034 年預測
  • 銀行、金融服務和保險（BFSI）
  • 衛生保健
  • 資訊科技與通訊
  • 零售
  • 製造業
  • 教育
  • 其他最終用戶
  • 全球人工智慧 (AI) 驅動的員工獎勵分析市場：按軟體、類型、實際結果和預測（2019-2024 年、2024-2029 年預測、2034 年預測）細分
  • 本地部署軟體
  • 雲端基礎的軟體（SaaS）
  • 全球人工智慧 (AI) 驅動的員工獎勵分析市場：按服務、類型、效能和預測進行細分，2019-2024 年、2024-2029 年預測、2034 年預測
  • 託管服務
  • 專業服務

第7章 區域和國家分析

  • 全球人工智慧（AI）員工獎勵分析市場：區域表現及預測，2019-2024年、2024-2029年預測、2034年預測
  • 全球基於人工智慧 (AI) 的員工獎勵分析市場：按國家/地區、績效和預測分類，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧（AI）驅動的員工獎勵分析市場：競爭格局
  • 人工智慧（AI）驅動的員工獎勵分析市場：公司概況
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • ADP Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • 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

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧（AI）員工獎勵分析市場：一個充滿新機會的國家
  • 2029年人工智慧（AI）驅動的員工獎勵分析市場：提供新機會的細分市場
  • 2029年人工智慧（AI）驅動的員工獎勵分析市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r38693

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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • Benchmark performance against key competitors.
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  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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
  • Companies Mentioned: 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; Kazoo Ltd.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Characteristics

3. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Trends And Strategies

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)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Total Addressable Market (TAM)

6. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Segmentation

  • 6.1. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.4. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Performance Management
  • Employee Recognition
  • Communication Or Collaboration
  • Surveys Or Feedback
  • Learning Or Development
  • Other Applications
  • 6.5. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services And Insurance (BFSI)
  • Healthcare
  • Information Technology And Telecommunications
  • Retail
  • Manufacturing
  • Education
  • Other End-Users
  • 6.6. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises Software
  • Cloud-Based Software (SaaS)
  • 6.7. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Managed Services
  • Professional Services

7. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 9.1. China Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 9.2. China Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 10.1. India Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 11.1. Japan Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 11.2. Japan Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 12.1. Australia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 13.1. Indonesia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 14.1. South Korea Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 14.2. South Korea Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 15.1. Western Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 16.1. UK Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 17.1. Germany Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 18.1. France Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 19.1. Italy Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 20.1. Spain Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 21.1. Eastern Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 22.1. Russia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 23.1. North America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 23.2. North America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 24.1. USA Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 24.2. USA Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 25.1. Canada Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 25.2. Canada Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 26.1. South America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 26.2. South America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 27.1. Brazil Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 28.1. Middle East Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 28.2. Middle East Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

  • 29.1. Africa Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Overview
  • 29.2. Africa Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. ADP Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Other Major And Innovative Companies

  • 31.1. Workday Inc.
  • 31.2. Ultimate Kronos Group Inc.
  • 31.3. Qualtrics LLC
  • 31.4. O.C. Tanner
  • 31.5. Cornerstone OnDemand Inc.
  • 31.6. Culture Amp Pty. Ltd.
  • 31.7. Achievers Solutions Inc.
  • 31.8. Reward Gateway Ltd.
  • 31.9. Ceridian HCM Inc.
  • 31.10. Lattice
  • 31.11. Reflektive Inc.
  • 31.12. Motivosity Inc.
  • 31.13. Quantum Workplace Companies
  • 31.14. TinyPulse
  • 31.15. Peakon

32. Global Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

34. Recent Developments In The Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market

35. Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI)-Powered Employee Recognition Analytics Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer