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市場調查報告書
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1916665

全球本地隨選勞動力平台市場預測至2032年：依平台類型、經營模式、組織規模、技術、最終用戶及地區分類

Local On-Demand Workforce Platforms Market Forecasts to 2032 - Global Analysis By Platform Type, Business Model, Organization Size, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球本地按需勞動力平台市場價值將達到 59.3 億美元，到 2032 年將達到 131.2 億美元，在預測期內的複合年成長率為 12%。

本地按需勞動力平台是連結企業與特定地理區域內臨時工、彈性工或零工的數位化市場。這些平台利用行動應用程式、網站和人工智慧驅動的配對演算法，快速滿足短期用工需求，涵蓋從配送服務、住宅維修到專業工作和活動人員配備等各種服務。它們為企業提供擴充性和效率，同時為勞工提供靈活的就業機會和即時工作管道。透過強調接近性、即時可用性和特定職位技能，這些平台最佳化了本地勞動力的利用，減少了企業停工時間，並創建了動態的生態系統，使都市區和社區的服務提供者和消費者都能從中受益。

對靈活勞動力的需求日益成長

勞工越來越傾向於尋求短期、企劃為基礎的工作機會，這些機會能夠提供自主性和收入彈性。企業則利用平台快速擴展業務，而無需長期承諾。零工模式的日益普及正在改變零售、物流和專業服務業的勞動力格局。供應商正在整合行動優先功能，以便即時將勞工與本地機會聯繫起來。對彈性勞動力的需求使得勞動力平台更具戰略意義。隨著企業將敏捷性置於優先地位，靈活的勞動力模式正在推動該行業的成長。

區域監管不確定性

各國政府對勞工分類、福利和課稅方面製定了各種規定。由於政策分散和合規風險，企業在業務擴張方面面臨許多阻礙。與擁有完善法律體制的大公司相比，中小型供應商難以適應不斷變化的法規。不斷上漲的審核和認證成本進一步加劇了複雜性。行業協會正在遊說制定標準化規則以減少不確定性。監管碎片化削弱了信任，並阻礙了本地勞動力生態系統的持續發展。

與人工智慧和分析技術的整合

企業越來越需要智慧工具來有效率地將員工與職位配對。人工智慧驅動的系統能夠實現預測性排班、動態定價和即時績效監控。平台整合了分析儀表板，以提高透明度並改善決策。小型企業和新創公司可以受益於專門針對其本地需求量身定做的、經濟高效的人工智慧解決方案。供應商正透過將機器學習融入其勞動力分配模型來打造差異化優勢。人工智慧和Start-Ups的融合正在推動該領域巨大的成長機會。

來自新興企業的激烈競爭

新參與企業憑藉著創新模式、低收費和細分市場專業化，正挑戰現有企業。消費者傾向於選擇能夠提供在地化服務和個人化關注的靈活平台。競爭激烈的定價策略給老牌企業的利潤率帶來了壓力。企業必須大力投資差異化和品牌真實性，才能維持市場佔有率。Start-Ups公司正利用創業投資在都市區快速擴張。來自新進入者的日益激烈的競爭正在限制勞動力平台的盈利，並威脅著它們的永續成長。

新冠疫情的感染疾病：

新冠疫情加速了企業朝向彈性辦公室模式轉型，也因此催生了按需勞動力解決方案的需求。封鎖措施擾亂了傳統的就業模式，為全職員工的招募帶來了挑戰。配送、醫療保健和遠端支援等服務需求的激增推動了平台的普及。疫情期間，越來越多的勞工依賴零工經濟來維持收入。企業實施了數位入職和非接觸式任務分配，以增強業務永續營運。疫情凸顯了建構具有韌性和靈活性的勞動力生態系統的重要性。總而言之，新冠疫情促使人們更加認知到本地按需平台作為支援勞動力韌性的策略工具的價值。

在預測期內，任務式的零工平台細分市場將佔據最大成長佔有率。

由於對短期、技能型工作的需求，預計在預測期內，任務式的零工平台將佔據最大的市場佔有率。企業正依靠任務式的模式快速擴展業務並降低營運成本。勞動者則透過這些平台獲得自主權和多元化的收入來源。供應商正在引入行動優先功能，以提高用戶參與度並最佳化任務分配。對靈活的、企劃為基礎工作的需求不斷成長，正在推動這一領域的普及。隨著企業將敏捷性置於優先地位，任務式的零工平台正在勞動力生態系統中加速發展。

在預測期內，人工智慧驅動的匹配、排班和定價系統細分市場將實現最高的複合年成長率。

在對智慧勞動力分配需求不斷成長的推動下，人工智慧驅動的匹配、調度和定價系統領域預計將在預測期內實現最高成長率。企業越來越依賴預測工具來最佳化人事費用並提高效率。人工智慧驅動的系統能夠實現即時任務分配和動態定價模型。供應商正在整合分析儀表板，以提高透明度和擴充性。中小企業和Start-Ups尤其受益於根據其本地需求量身定做的、經濟高效的人工智慧解決方案。

佔比最大的地區：

由於北美擁有成熟的數位基礎設施、較高的消費者接受度以及對零工平台的早期投資，預計北美將在預測期內保持最大的市場佔有率。美國和加拿大的企業在靈活的勞動力結構和重視創新的法規環境的主導下，引領零工平台的普及應用。主要技術供應商的存在進一步鞏固了該地區的優勢。零售、物流和醫療保健產業尤其積極採用勞動力平台。對混合辦公和遠距辦公模式日益成長的需求正在推動各都市區零工平台的普及。北美對敏捷性和數位信任的重視正在促進勞動力生態系統的持續成長。

預計年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於快速的都市化、行動網路普及率的不斷提高以及政府主導的數位化舉措。印度、中國和東南亞國家等正大力投資零工平台，以支持就業和增強經濟韌性。人口密集城市對行動優先解決方案的需求日益成長，推動了人工智慧驅動型勞動力模式的普及。當地企業正在採用擴充性、經濟高效的解決方案來滿足不斷成長的消費者需求。政府推行的促進數位商務和靈活就業的計畫正在加速這一進程。

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目錄

第1章執行摘要

第2章 前言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球本地按需勞動力平台市場（依平台類型分類）

  • 任務式的零工平台
  • 一個專注於技能的專業平台
  • 多服務勞動市場
  • 一個協作式、社區所有的勞動力平台
  • 其他

6. 全球本地按需勞動力平台市場（依經營模式分類）

  • 佣金制市場模式
  • 按任務/按合作次數定價模式
  • 基於訂閱的存取模式
  • 企業合約和授權模式
  • 合作收益分享模式
  • 其他

7. 全球本地隨選勞動力平台市場（依組織規模分類）

  • 個人工作者和微服務服務供應商
  • 小型企業
  • 大型公司和平台營運商

8. 全球本地按需勞動力平台市場（依技術分類）

  • 行動和網路勞動市場
  • 人工智慧驅動的匹配、排班和定價系統
  • 支援物聯網的任務、位置和資產監控
  • 基於區塊鏈的識別、認證和支付系統
  • 雲端勞動力運營和合規平台
  • 其他

9. 全球本地按需勞動力平台市場（按最終用戶分類）

  • 家庭和個人消費者
  • 當地企業及服務設施
  • 企業/公司客戶
  • 公共部門/市政
  • 其他

第10章 全球本地按需勞動力平台市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：企業概況

  • TaskRabbit, Inc.
  • Handy
  • Thumbtack, Inc.
  • Wonolo Inc.
  • GigSmart, Inc.
  • Upwork Inc.
  • Fiverr International Ltd.
  • Freelancer Limited
  • Flexing It（India）
  • Awign Enterprises Pvt. Ltd.（India）
  • QuikrJobs
  • OLX People
  • MyChores
  • Urban Company
  • JustServe
Product Code: SMRC33238

According to Stratistics MRC, the Global Local On-Demand Workforce Platforms Market is accounted for $5.93 billion in 2025 and is expected to reach $13.12 billion by 2032 growing at a CAGR of 12% during the forecast period. Local On-Demand Workforce Platforms are digital marketplaces connecting businesses with temporary, flexible, or gig-based workers within a specific geographic area. These platforms leverage mobile apps, websites, and AI-driven matching algorithms to quickly fulfill short-term labor demands, ranging from delivery services and home repairs to professional tasks and event staffing. They provide businesses with scalability and efficiency while offering workers flexible employment opportunities and real-time job access. By emphasizing proximity, real-time availability, and task-specific skills, these platforms optimize local labor utilization, reduce operational downtime, and create a dynamic ecosystem that benefits both service providers and consumers in urban and community settings.

Market Dynamics:

Driver:

Growing demand for flexible labor

Workers increasingly seek short-term, project-based opportunities that provide autonomy and income diversity. Enterprises are leveraging platforms to scale operations quickly without long-term commitments. Rising adoption of gig models is reshaping workforce dynamics in retail, logistics, and professional services. Vendors are embedding mobile-first features to connect workers with local opportunities in real time. Demand for flexible labor is reinforcing the strategic importance of workforce platforms. As businesses prioritize agility, flexible labor models are propelling growth in this space.

Restraint:

Regulatory uncertainties across regions

Governments impose varying mandates on worker classification, benefits, and taxation. Enterprises face delays in scaling operations due to fragmented policies and compliance risks. Smaller providers struggle to adapt to evolving regulations compared to larger players with established legal frameworks. Rising costs of audits and certifications add further complexity. Industry alliances are lobbying for standardized rules to reduce uncertainty. Regulatory fragmentation is restraining confidence and slowing consistent expansion of local workforce ecosystems.

Opportunity:

Integration with AI and analytics

Enterprises increasingly require intelligent tools to match workers with tasks efficiently. AI-driven systems enable predictive scheduling, dynamic pricing, and real-time performance monitoring. Platforms are embedding analytics dashboards to strengthen transparency and improve decision-making. SMEs and startups particularly benefit from cost-effective AI-enabled solutions tailored to local needs. Vendors are differentiating offerings by embedding machine learning into workforce allocation models. Integration of AI and analytics is fostering significant growth opportunities in this domain.

Threat:

Intense competition from startups

New entrants offer innovative models, lower fees, and niche specialization that challenge incumbents. Consumers often prefer agile platforms that provide localized services and personalized engagement. Competitive pricing reduces margins for larger players. Enterprises must invest heavily in differentiation and brand trust to sustain market share. Startups are leveraging venture capital to scale rapidly across urban centers. Rising competition from emerging players is restraining profitability and threatening consistent growth in workforce platforms.

Covid-19 Impact:

The Covid-19 pandemic accelerated demand for on-demand workforce solutions as enterprises shifted to flexible labor models. Lockdowns disrupted traditional employment and created challenges for full-time hiring. Surging demand for delivery, healthcare, and remote support boosted platform adoption. Workers increasingly relied on gig opportunities to sustain income during the crisis. Enterprises embedded digital onboarding and contactless task allocation to strengthen continuity. The pandemic reinforced the importance of resilient, flexible workforce ecosystems. Overall, Covid-19 boosted awareness of local on-demand platforms as a strategic enabler of labor resilience.

The task-based gig platforms segment is expected to be the largest during the forecast period

The task-based gig platforms segment is expected to account for the largest market share during the forecast period, driven by demand for short-term, skill-specific assignments. Enterprises rely on task-based models to scale operations quickly and reduce overhead costs. Workers benefit from autonomy and diverse income streams through these platforms. Vendors are embedding mobile-first features to strengthen engagement and streamline task allocation. Rising demand for flexible, project-based work is reinforcing adoption in this segment. As businesses prioritize agility, task-based gig platforms are accelerating growth in the workforce ecosystem.

The AI-driven matching, scheduling & pricing systems segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the AI-driven matching, scheduling & pricing systems segment is predicted to witness the highest growth rate, supported by rising demand for intelligent workforce allocation. Enterprises increasingly require predictive tools to optimize labor costs and improve efficiency. AI-driven systems enable real-time task assignment and dynamic pricing models. Vendors are embedding analytics dashboards to strengthen transparency and scalability. SMEs and startups particularly benefit from cost-effective AI-enabled solutions tailored to local needs.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share by mature digital infrastructure, strong consumer adoption, and early investment in gig platforms. Enterprises in the United States and Canada are leading adoption due to regulatory emphasis on flexible labor and innovation. The presence of major technology providers further reinforces regional dominance. Retail, logistics, and healthcare sectors are particularly active in deploying workforce platforms. Rising demand for hybrid and remote work models is amplifying adoption across urban centers. North America's emphasis on agility and digital trust is fostering sustained growth in workforce ecosystems.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGRfueled by rapid urbanization, expanding mobile penetration, and government-led digital initiatives. Countries such as India, China, and Southeast Asia are investing heavily in gig platforms to support employment and economic resilience. Rising demand for mobile-first solutions in densely populated cities is strengthening adoption of AI-driven workforce models. Local enterprises are deploying scalable, cost-effective solutions to meet growing consumer needs. Government programs promoting digital commerce and flexible employment are accelerating adoption.

Key players in the market

Some of the key players in Local On-Demand Workforce Platforms Market include TaskRabbit, Inc., Handy, Thumbtack, Inc., Wonolo Inc., GigSmart, Inc., Upwork Inc., Fiverr International Ltd., Freelancer Limited, Flexing It (India), Awign Enterprises Pvt. Ltd. (India), QuikrJobs, OLX People, MyChores, Urban Company and JustServe.

Key Developments:

In February 2023, Thumbtack announced a strategic partnership with State Farm to integrate its pro-services marketplace into the State Farm mobile app, allowing customers to seamlessly connect with local home service professionals for repairs. This collaboration aimed to leverage State Farm's vast customer base to drive qualified leads to Thumbtack's platform professionals.

In July 2022, Wonolo merged with Pared, a leading on-demand platform for the hospitality industry, to combine forces and create a larger network of frontline workers. This merger allowed Wonolo to deepen its specialization in the food service and event staffing sectors.

Platform Types Covered:

  • Task-Based Gig Platforms
  • Skill-Specific Professional Platforms
  • Multi-Service Workforce Marketplaces
  • Cooperative & Community-Owned Workforce Platforms
  • Other Platform Types

Business Models Covered:

  • Commission-Based Marketplace Model
  • Per-Task / Per-Engagement Pricing Model
  • Subscription-Based Access Model
  • Enterprise Contracting & Licensing Model
  • Cooperative Revenue-Sharing Model
  • Other Business Models

Organization Sizes Covered:

  • Independent Workers & Micro-Service Providers
  • Small & Medium Enterprises
  • Large Enterprises & Platform Operators

Technologies Covered:

  • Mobile & Web Workforce Marketplaces
  • AI-Driven Matching, Scheduling & Pricing Systems
  • IoT-Enabled Task, Location & Asset Monitoring
  • Blockchain-Based Identity, Credential & Payment Systems
  • Cloud Workforce Operations & Compliance Platforms
  • Other Technologies

End Users Covered:

  • Households & Individual Consumers
  • Local Businesses & Service Establishments
  • Enterprise & Corporate Clients
  • Public Sector & Municipal Authorities
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Local On-Demand Workforce Platforms Market, By Platform Type

  • 5.1 Introduction
  • 5.2 Task-Based Gig Platforms
  • 5.3 Skill-Specific Professional Platforms
  • 5.4 Multi-Service Workforce Marketplaces
  • 5.5 Cooperative & Community-Owned Workforce Platforms
  • 5.6 Other Platform Types

6 Global Local On-Demand Workforce Platforms Market, By Business Model

  • 6.1 Introduction
  • 6.2 Commission-Based Marketplace Model
  • 6.3 Per-Task / Per-Engagement Pricing Model
  • 6.4 Subscription-Based Access Model
  • 6.5 Enterprise Contracting & Licensing Model
  • 6.6 Cooperative Revenue-Sharing Model
  • 6.7 Other Business Models

7 Global Local On-Demand Workforce Platforms Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Independent Workers & Micro-Service Providers
  • 7.3 Small & Medium Enterprises
  • 7.4 Large Enterprises & Platform Operators

8 Global Local On-Demand Workforce Platforms Market, By Technology

  • 8.1 Introduction
  • 8.2 Mobile & Web Workforce Marketplaces
  • 8.3 AI-Driven Matching, Scheduling & Pricing Systems
  • 8.4 IoT-Enabled Task, Location & Asset Monitoring
  • 8.5 Blockchain-Based Identity, Credential & Payment Systems
  • 8.6 Cloud Workforce Operations & Compliance Platforms
  • 8.7 Other Technologies

9 Global Local On-Demand Workforce Platforms Market, By End User

  • 9.1 Introduction
  • 9.2 Households & Individual Consumers
  • 9.3 Local Businesses & Service Establishments
  • 9.4 Enterprise & Corporate Clients
  • 9.5 Public Sector & Municipal Authorities
  • 9.6 Other End Users

10 Global Local On-Demand Workforce Platforms Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 TaskRabbit, Inc.
  • 12.2 Handy
  • 12.3 Thumbtack, Inc.
  • 12.4 Wonolo Inc.
  • 12.5 GigSmart, Inc.
  • 12.6 Upwork Inc.
  • 12.7 Fiverr International Ltd.
  • 12.8 Freelancer Limited
  • 12.9 Flexing It (India)
  • 12.10 Awign Enterprises Pvt. Ltd. (India)
  • 12.11 QuikrJobs
  • 12.12 OLX People
  • 12.13 MyChores
  • 12.14 Urban Company
  • 12.15 JustServe

List of Tables

  • Table 1 Global Local On-Demand Workforce Platforms Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Local On-Demand Workforce Platforms Market Outlook, By Platform Type (2024-2032) ($MN)
  • Table 3 Global Local On-Demand Workforce Platforms Market Outlook, By Task-Based Gig Platforms (2024-2032) ($MN)
  • Table 4 Global Local On-Demand Workforce Platforms Market Outlook, By Skill-Specific Professional Platforms (2024-2032) ($MN)
  • Table 5 Global Local On-Demand Workforce Platforms Market Outlook, By Multi-Service Workforce Marketplaces (2024-2032) ($MN)
  • Table 6 Global Local On-Demand Workforce Platforms Market Outlook, By Cooperative & Community-Owned Workforce Platforms (2024-2032) ($MN)
  • Table 7 Global Local On-Demand Workforce Platforms Market Outlook, By Other Platform Types (2024-2032) ($MN)
  • Table 8 Global Local On-Demand Workforce Platforms Market Outlook, By Business Model (2024-2032) ($MN)
  • Table 9 Global Local On-Demand Workforce Platforms Market Outlook, By Commission-Based Marketplace Model (2024-2032) ($MN)
  • Table 10 Global Local On-Demand Workforce Platforms Market Outlook, By Per-Task / Per-Engagement Pricing Model (2024-2032) ($MN)
  • Table 11 Global Local On-Demand Workforce Platforms Market Outlook, By Subscription-Based Access Model (2024-2032) ($MN)
  • Table 12 Global Local On-Demand Workforce Platforms Market Outlook, By Enterprise Contracting & Licensing Model (2024-2032) ($MN)
  • Table 13 Global Local On-Demand Workforce Platforms Market Outlook, By Cooperative Revenue-Sharing Model (2024-2032) ($MN)
  • Table 14 Global Local On-Demand Workforce Platforms Market Outlook, By Other Business Models (2024-2032) ($MN)
  • Table 15 Global Local On-Demand Workforce Platforms Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 16 Global Local On-Demand Workforce Platforms Market Outlook, By Independent Workers & Micro-Service Providers (2024-2032) ($MN)
  • Table 17 Global Local On-Demand Workforce Platforms Market Outlook, By Small & Medium Enterprises (2024-2032) ($MN)
  • Table 18 Global Local On-Demand Workforce Platforms Market Outlook, By Large Enterprises & Platform Operators (2024-2032) ($MN)
  • Table 19 Global Local On-Demand Workforce Platforms Market Outlook, By Technology (2024-2032) ($MN)
  • Table 20 Global Local On-Demand Workforce Platforms Market Outlook, By Mobile & Web Workforce Marketplaces (2024-2032) ($MN)
  • Table 21 Global Local On-Demand Workforce Platforms Market Outlook, By AI-Driven Matching, Scheduling & Pricing Systems (2024-2032) ($MN)
  • Table 22 Global Local On-Demand Workforce Platforms Market Outlook, By IoT-Enabled Task, Location & Asset Monitoring (2024-2032) ($MN)
  • Table 23 Global Local On-Demand Workforce Platforms Market Outlook, By Blockchain-Based Identity, Credential & Payment Systems (2024-2032) ($MN)
  • Table 24 Global Local On-Demand Workforce Platforms Market Outlook, By Cloud Workforce Operations & Compliance Platforms (2024-2032) ($MN)
  • Table 25 Global Local On-Demand Workforce Platforms Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 26 Global Local On-Demand Workforce Platforms Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global Local On-Demand Workforce Platforms Market Outlook, By Households & Individual Consumers (2024-2032) ($MN)
  • Table 28 Global Local On-Demand Workforce Platforms Market Outlook, By Local Businesses & Service Establishments (2024-2032) ($MN)
  • Table 29 Global Local On-Demand Workforce Platforms Market Outlook, By Enterprise & Corporate Clients (2024-2032) ($MN)
  • Table 30 Global Local On-Demand Workforce Platforms Market Outlook, By Public Sector & Municipal Authorities (2024-2032) ($MN)
  • Table 31 Global Local On-Demand Workforce Platforms Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.