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市场调查报告书
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1851711
劳动力分析:市场份额分析、行业趋势、统计数据和成长预测(2025-2030 年)Workforce Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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预计到 2025 年,劳动力分析市场规模将达到 25.2 亿美元,并以 16.0% 的复合年增长率成长,到 2030 年将达到 53 亿美元。

企业快速转向数据主导的劳动力决策、混合办公模式优化和人工智慧分析是推动成长的主要动力。即使在经济环境谨慎的情况下,对预测性规划、即时洞察和成本优化的需求依然强劲。随着与人力资本管理 (HCM) 套件的整合不断增加,资料量也随之增长,应用场景也更加清晰,云端基础应用案例正在迅速扩展。区域发展势头强劲:北美地区企业率先采用云端技术,而亚太地区的数位转型专案则占据了最快的成长路径。由于 HCM 平台领导者将分析功能嵌入其核心产品,而纯粹的 HCM 供应商则透过策略性资金筹措、收购和伙伴关係来扩大规模,因此市场竞争强度仍然适中。
企业采用机器学习模型,使人力资源团队能够预测人才缺口、精准定位人才并提高员工留任率。强生公司的人工智慧技能推断框架建构了分类体系和被动评估,以提高学习匹配度和招募准确性。在製造业,42%的工厂计划在五年内增加人工智慧/机器学习的使用,50%的工厂计划在未来一年内实施品管人工智慧。 70%的企业认为劳动力转型对业务绩效至关重要,管理角色也正在改变。这些因素共同刺激了企业对劳动分析市场的需求。
诸如Oracle Fusion HCM Analytics和SAP SuccessFactors Workforce Analytics等云端HCM套件提供关于员工组成、薪酬和技能的即时指标,使人力资源领导者能够将员工能力与业务目标相匹配。像One Model这样的统一平台可以标准化来自多个HCM资料来源的数据,并利用关于员工离职率和薪酬公平性的预测性洞察来丰富数据。洛杉矶市使用Workday为5万名员工提供服务,并利用人工智慧筛选筛检和标註技能。云端运算的普及正在加速劳动力分析市场中各种应用案例的发展。
欧盟人工智慧法规将于2024年8月生效,该法规将许多人力资源人工智慧应用列为高风险应用,并要求进行风险评估和提高透明度。随着企业整合大规模语言模型并强制推行可解释人工智慧和隐私设计工作流程,GDPR的义务也日益加深。在北美,CCPA和各州的人工智慧法律令42%的人力资源经理对合规性感到不确定。这些相互重迭的义务会延长决策週期,并增加劳动分析市场的整体拥有成本。
到2024年,解决方案将占据劳动力分析市场65.3%的份额,这反映出市场对包含预测演算法的综合平台的需求日益增长。亨廷顿英格斯工业公司(Huntington Ingalls Industries)采用人工智慧原生工具,将招募速度提高了25%,员工留存率提高了30%。绩效和敬业度分析也在不断发展,帮助埃尔卡米诺健康中心(El Camino Health)将护理师离职率降低了7个百分点,每年节省了84万美元。服务业虽然规模较小,但正以17.2%的复合年增长率成长,这得益于企业对实施、託管服务和培训支援的重视。专业服务指导复杂的资料迁移,而託管服务则使人力资源团队能够专注于策略。 Visier的「Vee」等生成式人工智慧助理的引入,增强了竞争优势,并促进了解决方案的成长。
培训和支援也日益受到关注:31%的製造商表示需要倡议以推进其分析计画。提供学习和变革管理模组的供应商将占据更大的劳动力分析市场份额。
到2024年,云端平台将占据59.2%的市场份额,年复合成长率达16.5%,这主要得益于企业寻求更低的初始成本和无缝升级。 One Model透过将Workday和SAP SuccessFactors的数据提取到分析框架中,证明了其价值。像洛杉矶这样的大型公共部门客户,充分展现了在云端平台上管理数万名员工的规模和安全性。
本地部署仍然具有重要意义,尤其是在银行、金融服务和保险 (BFSI) 以及国防等对资料主权有严格要求的行业。混合部署正逐渐成为一种折衷方案,它将敏感资料储存在本地,而将分析任务运行在云端。供应商正在加强加密和权限模型:SAP 和Oracle正在增加基于角色的控制和合规性认证。因此,劳动力分析市场正坚定地向云端倾斜,但并未完全放弃在地化模式。
到2024年,北美将占据劳动力分析市场25.6%的份额,这主要得益于美国证券交易委员会(SEC)的资讯揭露要求推动了精细化劳动力指标的发展。洛杉矶市利用Workday的人工智慧功能,实现了5万名员工的招募和薪资核算自动化,显着缩短了处理时间,展现了其在该领域的成熟度。加拿大正在利用公共部门的数位化,而墨西哥则利用近岸外包将分析技术融入製造业的人力资源管理专案中。
亚太地区预计到2030年将以16.3%的复合年增长率快速成长。印度塔塔钢铁公司位于卡林加纳加尔的工厂透过培训130名员工掌握数据分析技术,并将故障率从60%提高到90%,每年节省了400万美元。中国正大力投资,将自动化与员工技能再培训结合;日本和韩国则将数据分析融入其应对劳动力老化的策略中。澳洲和纽西兰正在利用数据分析来留住医疗保健工作者。
由于GDPR和人工智慧相关法律法规的推动,欧洲正稳步发展,这些法规都要求演算法透明且需要人工监督。德国、英国和法国正在大规模应用人工智慧技术,其中法国新兴企业受益于Visier和Le Lab RH之间的合作。荷兰的跨国公司正积极采用人工智慧技术,而南欧由于分析人才供应有限而发展落后。中东和非洲正处于早期发展阶段:阿联酋和沙乌地阿拉伯正在将分析技术纳入其「2030愿景」计划,南非正在启动一项以技能映射为重点的公共部门试点计画。
The workforce analytics market reached USD 2.52 billion in 2025 and is forecast to advance at a 16.0% CAGR, taking the total to USD 5.30 billion by 2030.

Growth stems from organizations moving rapidly toward data-driven talent decisions, hybrid-work optimization, and AI-powered analytics. Heightened focus on predictive planning, real-time insights, and cost optimization keeps demand robust even in cautious economic climates. Cloud-based deployments expand quickly as integration with HCM suites multiplies data volumes and unlocks use cases, while sector-specific needs in healthcare and manufacturing accelerate adoption. Regional momentum is striking: North America commands early enterprise uptake, yet Asia-Pacific's digital transformation programs create the fastest expansion path. Competitive dynamics stay moderately intense as HCM platform leaders fold analytics into core offerings and pure-play vendors pursue strategic funding rounds, acquisitions, and partnerships to build scale.
Enterprise adoption of machine-learning models allows HR teams to predict talent gaps, refine allocation, and lift retention. Johnson & Johnson's AI skills-inference framework, which builds taxonomies and passive assessments, improved learning alignment and hiring accuracy. Manufacturing illustrates urgency: 42% of plants plan to raise AI/ML use within five years, with 50% deploying quality-control AI in the coming year. Managers shift roles as 70% view workforce transformation as critical to performance. These factors collectively stimulate enterprise demand across the workforce analytics market.
Cloud HCM suites such as Oracle Fusion HCM Analytics and SAP SuccessFactors Workforce Analytics offer real-time metrics on composition, compensation, and skills, empowering HR leaders to match capabilities to business goal. Integration platforms like One Model standardize data from multiple HCM sources and enrich it with predictive insights on attrition and pay equity. Municipal deployments highlight scale: the City of Los Angeles runs Workday for 50,000 staff, with AI guiding resume screening and skill tagging. Cloud ubiquity therefore accelerates use-case volume across the workforce analytics market.
The EU AI Act, effective August 2024, designates many HR-AI applications high-risk, demanding risk assessments and transparency. GDPR obligations deepen as firms integrate large language models, mandating explainable AI and privacy-by-design workflows. In North America, CCPA and state AI laws leave 42% of HR managers uncertain about compliance. These overlapping mandates slow decision cycles and elevate total cost of ownership for the workforce analytics market.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
Solutions represented 65.3% of the workforce analytics market in 2024, reflecting pervasive demand for comprehensive platforms that embed predictive algorithms. Talent acquisition and development optimization solutions enjoy strong momentum as enterprises fill skills gaps; Huntington Ingalls Industries recorded 25% faster hiring and 30% higher retention by deploying AI-native tools. Performance and engagement analytics also expand as El Camino Health reduced RN turnover by 7 points, saving USD 840,000 annually. Services, although smaller, post 17.2% CAGR as firms secure implementation, managed-service, and training support. Professional services guide complex data migrations, while managed services allow HR teams to focus on strategy. The introduction of generative AI assistants such as Visier's "Vee" sharpens competitive differentiation and sustains solution growth.
Training and support fetch mounting interest: 31% of manufacturers cite upskilling needs to realize analytics initiatives. Providers that bundle learning and change-management modules thereby capture incremental share within the workforce analytics market.
Cloud platforms held 59.2% share in 2024 and will grow at 16.5% CAGR as organizations chase lower upfront costs and seamless upgrades. One Model proves value by abstracting data from Workday and SAP SuccessFactors into analytics-ready frameworks. Large public-sector clients such as Los Angeles showcase scale and security when managing tens of thousands of employees on cloud stacks.
On-premises retains relevance where data sovereignty dictates, especially in BFSI and defense. Hybrid deployment emerges as a compromise, storing sensitive data locally while running analytics compute in the cloud. Vendors strengthen encryption and permission models: SAP and Oracle both add role-based controls and compliance attestations. The workforce analytics market therefore skewers decisively toward cloud without abandoning localized models.
Workforce Analytics Market Report is Segmented by Component (Solutions, Services), Deployment Type (Cloud, On-Premises), Organization Size (Large Enterprises, Smes), End-User Industry (BFSI, Manufacturing, IT and Telecom, Healthcare, Retail, Government, Energy and Utilities and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD)
North America held 25.6% of the workforce analytics market in 2024, supported by SEC disclosure mandates that push granular workforce metrics. The City of Los Angeles demonstrates advanced maturity by automating hiring and payroll for 50,000 staff through Workday's AI features, lowering processing times materially. Canada capitalizes on public-sector digitization, while Mexico rides near-shoring to embed analytics in manufacturing HR programs.
Asia-Pacific shows the fastest 16.3% CAGR through 2030. India's Tata Steel Kalinganagar plant saved USD 4 million annually by training 130 staff in analytics and boosting strike rates from 60% to 90%. China invests aggressively to align automation and worker reskilling, while Japan and South Korea blend analytics with aging-workforce strategies. Australia and New Zealand apply analytics to retain healthcare professionals, where only 41% stay more than two years in non-metro areas.
Europe grows steadily on the back of GDPR and the AI Act, which both demand transparent algorithms and human oversight. Germany, the United Kingdom, and France implement at scale, with French start-ups benefiting from Visier and Le Lab RH collaboration. The Netherlands sees robust adoption among multinationals, whereas Southern Europe lags because of limited analytics talent supply. Middle East and Africa constitute early-stage opportunities: UAE and Saudi Arabia weave analytics into Vision 2030 programs, and South Africa begins public-sector pilots focused on skills mapping.