노동력 최적화 및 수요 예측 소프트웨어 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the labor optimization and demand forecasting software market size is expected to increase from USD 1.53 billion in 2025 to USD 1.63 billion in 2026 and reach USD 2.23 billion by 2031, growing at a CAGR of 6.48% over 2026-2031.

This report is Segmented by Component (Software, and Services [Implementation and Integration Services, and More]), Functionality (Demand Forecasting, and More), Deployment Model (Cloud-Based, and More), Organization Size (Large Enterprises, and More), End-Use Industry (Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Labor Optimization And Demand Forecasting Software Market Trends and Insights

AI-Driven Workforce Analytics and Automated Scheduling

The labor optimization and demand forecasting software market is gaining momentum as agentic AI shifts workforce management from post-facto reporting to in-the-moment action. Legion Technologies launched more than 90 AI features in January 2026 across forecasting, scheduling, time and attendance, and labor optimization, and said customers using its full engagement suite saw an average 33% improvement in retention. The same release said Legion recorded 216% revenue growth in 2025, showing how strongly buyers are responding to platforms that can automate labor decisions rather than just visualize them. UKG also expanded the market's AI layer in November 2025 with Workforce Intelligence Hub, built on a large operating data set that includes 10 billion punches and 12 billion schedules processed each year. That scale matters because better data improves forecast quality, overtime detection, and workforce well-being analysis in the same operating view. As the labor optimization and demand forecasting software market matures, vendors with deeper proprietary data pools are likely to hold a stronger accuracy advantage than newer challengers.

Rising Wage Inflation and Fair Workweek Compliance Pressure

The labor optimization and demand forecasting software market is also being supported by the rising cost of labor errors when scheduling rules tighten. GovDocs reported that 8 U.S. cities had enacted predictive scheduling ordinances in 2026, and Los Angeles County's ordinance took effect on July 1, 2025, for retail employers nationwide with 300 or more employees. Chicago's Fair Workweek Ordinance widened coverage in July 2025 by raising the wage threshold to USD 62,561.9 per year, expanding the pool of protected workers, and increasing compliance exposure for employers with many locations. When employers must give 14-day advance notice and pay penalties for late schedule changes, weak forecasting creates direct payroll leakage rather than merely operational inconvenience. This is why the labor optimization and demand forecasting software market is increasingly tied to demand sensing as much as to scheduling itself. Similar 14-day notice rules across Oregon, Chicago, Seattle, and Philadelphia also point to a more standardized compliance burden for national operators, which supports broader software adoption.

Legacy HRIS, Payroll, ERP, and POS Integration Complexity

The labor optimization and demand forecasting software market still faces its largest deployment barrier when buyers try to connect new planning tools with old payroll, HRIS, ERP, and POS systems. Paycor said a June 2024 Gartner survey found fewer than 25% of HR functions were maximizing business value from their HR technology, and integration failures were a primary reason. Finch noted that the top 10 payroll providers account for only 62% of the U.S. market, leaving a long tail of smaller providers with different data structures that often require custom mapping work. TimeCheck Software said disconnected systems can force multi-location employers to spend 2 to 3 days consolidating payroll inputs through manual extraction and spreadsheet reconciliation. These delays matter because poor integration not only slows deployment but also weakens the quality of the demand data feeding the forecast engine. That makes the labor optimization and demand forecasting software market harder to scale in the mid-implementation phase, especially for employers with many legacy systems and inconsistent labor data.

Other drivers and restraints analyzed in the detailed report include:

1. Omnichannel and Shorter Fulfillment Windows Increasing Labor Volatility
2. Cloud Adoption by Multi-Site Midmarket Employers
3. Data Privacy and Algorithmic Compliance Risk

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software accounted for 62.44% of revenue in 2025, indicating that the software layer remained the largest share of the labor optimization and demand forecasting market in current deployments. The core software stack kept that position because it houses the scheduling engines, demand models, compliance rules, and analytics layers that create switching costs for enterprise customers. In the labor optimization and demand forecasting software market, these functions are the foundation of the products buyers rely on every day for labor planning, execution, and reporting. Software also benefited from the installed base of recurring subscriptions built over the past several years as vendors shifted customers toward cloud-linked commercial models. That installed base gives leading providers a reliable revenue stream and more room to attach adjacent capabilities over time.

Services is the faster-growing component, with the labor optimization and demand forecasting software market size for services projected to expand at a 9.12% CAGR through 2031. This growth reflects a clear shift in buyer behavior, as employers increasingly need implementation support, managed analytics, and change management to turn software output into measurable labor results. ATOSS reported that cloud and subscription revenue rose 27% year over year to EUR 27 million (USD 28.9 million) in Q1 2026, accounting for 53% of total quarterly sales. AI-led workforce tools also require retraining, integration upkeep, and compliance checks under frameworks such as ISO 27001, SOC 2, and the EU AI Act, which increases the service's load after deployment. That is why the labor optimization and demand forecasting software industry is not only selling licenses anymore, it is also selling ongoing operating support tied to labor performance and compliance readiness.

Demand forecasting accounted for 35.45% of revenue in 2025, which made it the largest functional block in the labor optimization and demand forecasting software market. That position reflects its role as the base input for labor budgeting, scheduling, and reforecasting, because poor demand signals degrade the quality of every downstream planning action. In practical terms, employers need the system to merge transaction history, seasonality, local events, and real-time demand changes before any schedule can be optimized. This is why demand forecasting continues to anchor platform design, even as vendors add broader analytics and task-execution tools. The category remains especially important in multi-site environments where labor decisions must be updated quickly and consistently across many locations.

Workforce analytics and performance optimization is the fastest-growing functional segment, and the labor optimization and demand forecasting software market size for this area is projected to rise at an 8.36% CAGR through 2031. Growth is being supported by the fact that analytics modules are often sold into existing customers as upgrades, which gives vendors a faster path to incremental recurring revenue than a full new deployment. Logile's 2025 labor planning study, cited by GFOS, found that 77% of retail employees said poor labor planning hurts revenue, and 80% reported additional stress or overload due to understaffing. Blue Yonder also said its warehouse AI can improve labor forecasting from weeks ahead to minutes ahead of a shift by applying AI and machine learning to inbound throughput signals. As a result, the labor optimization and demand forecasting software market is placing greater emphasis on tools that quantify labor productivity in financial terms rather than solely measuring schedule adherence. In the labor optimization and demand forecasting software industry, this makes analytics a strong expansion path once the forecasting core is already in place.

Geography Analysis

North America accounted for 36.81% of revenue in 2025, giving the region the largest share in the labor optimization and demand forecasting software market by geography. The region's lead rests on a dense compliance framework, a large base of enterprise buyers, and a strong concentration of workforce management vendors with mature AI road maps. In the United States, predictive scheduling laws across major cities and counties have made manual compliance more difficult for retailers and other multi-site employers. That pressure raises the value of systems that combine demand sensing, scheduling, and audit-ready recordkeeping in a single workflow. In the labor optimization and demand forecasting software market, North America remains the commercial hub because regulatory complexity and enterprise scale reinforce one another.

Europe held the second-largest regional position in the labor optimization and demand forecasting software market, supported by Germany, the United Kingdom, and France. Demand in the region is shaped less by fair workweek laws alone and more by co-determination rules, mandatory time recording, and the EU AI Act's treatment of employment AI as a high-risk use case. Germany's expected shift toward mandatory electronic time recording from 2026 adds a direct compliance trigger for digital workforce systems. The European Parliament's late 2025 call for tighter oversight of algorithmic management also adds short-term friction to buying while encouraging a longer-term move toward explainable, auditable software.

Asia-Pacific is the fastest-growing region, and the labor optimization and demand forecasting software market is projected to expand at an 8.77% CAGR through 2031. Growth is being led by China, India, Australia, South Korea, and Japan, as retailers, restaurant chains, and manufacturers digitize labor operations at scale for the first time. GaiaWorks said its deployments across APAC retail and food-and-beverage clients achieved 99% accuracy in labor cost allocations, supporting the region's shift away from manual scheduling. Middle East adoption is rising with workforce modernization programs and the expansion of organized retail, logistics, and hospitality, while Africa and South America remain earlier-stage opportunities tied to formalization in labor-intensive sectors.

1. UKG Inc.
2. Blue Yonder Group, Inc.
3. Quinyx AB
4. Legion Technologies, Inc.
5. Logile, Inc.
6. ATOSS Software SE
7. WorkForce Software, LLC
8. Deputechnologies Pty Ltd
9. 7shifts Employee Scheduling Software Inc.
10. When I Work, Inc.
11. Papershift GmbH
12. TimeClock Plus, LLC
13. Orcus Technologies, Inc. dba TimeForge
14. GaiaWorks Asia Holding Limited
15. Fourth Enterprises, LLC
16. Kinaxis Inc.
17. ToolsGroup B.V.
18. o9 Solutions, Inc.
19. Logility Supply Chain Solutions, Inc.
20. Blue Ridge Solutions Inc.
21. Lokad Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Wage Inflation and Fair Workweek Compliance Pressure
  • 4.2.2 Cloud Adoption by Multi-Site Midmarket Employers
  • 4.2.3 AI-Driven Workforce Analytics and Automated Scheduling
  • 4.2.4 Omnichannel and Shorter Fulfillment Windows Increasing Labor Volatility
  • 4.2.5 Convergence of Store-Level Demand Forecasting, Labor Planning, and Fresh and Perishable Operations
  • 4.2.6 Schedule Fairness, Earned Wage Access, and Frontline Retention Becoming a Shared Buying Criterion
• 4.3 Market Restraints
  • 4.3.1 Legacy HRIS, Payroll, ERP, and POS Integration Complexity
  • 4.3.2 Data Privacy and Algorithmic Compliance Risk
  • 4.3.3 Sparse Intraday Demand Signals at Long-Tail Sites Reducing Forecast Quality
  • 4.3.4 Works Council and Union Scrutiny of Black-Box Scheduling Decisions
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Impact of Macroeconomic Factors on the Market
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Bargaining Power of Suppliers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
    • 5.1.2.1 Implementation and Integration Services
    • 5.1.2.2 Consulting Services
    • 5.1.2.3 Support and Maintenance Services
    • 5.1.2.4 Training and Managed Services
• 5.2 By Functionality
  • 5.2.1 Demand Forecasting
  • 5.2.2 Labor Budgeting and Optimization
  • 5.2.3 Workforce Scheduling
  • 5.2.4 Intraday Management and Reforecasting
  • 5.2.5 Task and Execution Planning
  • 5.2.6 Workforce Analytics and Performance Optimization
• 5.3 By Deployment Model
  • 5.3.1 Cloud-Based
  • 5.3.2 On-Premise
• 5.4 By Organization Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium-Sized Enterprises
• 5.5 By End-Use Industry
  • 5.5.1 Retail and E-commerce
  • 5.5.2 Foodservice and Hospitality
  • 5.5.3 Manufacturing
  • 5.5.4 Transportation and Logistics
  • 5.5.5 Healthcare and Life Sciences
  • 5.5.6 Consumer Services and Leisure
  • 5.5.7 Other End-Use Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Chile
    • 5.6.2.4 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 Australia
    • 5.6.4.5 South Korea
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 Saudi Arabia
    • 5.6.5.2 United Arab Emirates
    • 5.6.5.3 Turkey
    • 5.6.5.4 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Nigeria
    • 5.6.6.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 UKG Inc.
  • 6.4.2 Blue Yonder Group, Inc.
  • 6.4.3 Quinyx AB
  • 6.4.4 Legion Technologies, Inc.
  • 6.4.5 Logile, Inc.
  • 6.4.6 ATOSS Software SE
  • 6.4.7 WorkForce Software, LLC
  • 6.4.8 Deputechnologies Pty Ltd
  • 6.4.9 7shifts Employee Scheduling Software Inc.
  • 6.4.10 When I Work, Inc.
  • 6.4.11 Papershift GmbH
  • 6.4.12 TimeClock Plus, LLC
  • 6.4.13 Orcus Technologies, Inc. dba TimeForge
  • 6.4.14 GaiaWorks Asia Holding Limited
  • 6.4.15 Fourth Enterprises, LLC
  • 6.4.16 Kinaxis Inc.
  • 6.4.17 ToolsGroup B.V.
  • 6.4.18 o9 Solutions, Inc.
  • 6.4.19 Logility Supply Chain Solutions, Inc.
  • 6.4.20 Blue Ridge Solutions Inc.
  • 6.4.21 Lokad Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment