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Global Meeting and Events Rental Furniture Services Market Research Report - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2033)

Published Nov 19, 2025
Length 238 Pages
SKU # LOOK20642018

Description

Definition and Scope:

The meeting and events rental furniture services market refers to the provision of furniture solutions on a temporary basis for a variety of events, such as corporate meetings, conferences, weddings, exhibitions, and trade shows. These services enable event organizers to meet specific design, comfort, and capacity requirements without the long-term investment of purchasing furniture. The key features of rental furniture services include a broad range of products such as chairs, tables, sofas, lounge seating, and decor items, often customizable to match event themes or branding. Rental services also include the logistics of delivery, setup, and removal, ensuring convenience for event planners. Additionally, these services cater to various price points, from basic functional furniture to premium, high-end options, enabling flexibility for different event budgets.

The global market for rental furniture services in the meetings and events industry was valued at USD xx billion in 2024. The market is projected to grow at a compound annual growth rate (CAGR) of xx%, reaching USD xx billion by 2033. This growth is fueled by the increasing demand for corporate events, experiential marketing campaigns, and large-scale exhibitions, which require temporary yet stylish and functional setups. As organizations continue to prioritize flexibility, cost efficiency, and aesthetic appeal in event planning, the rental furniture services market is positioned for significant expansion over the next decade.

Several key drivers are influencing the growth of this market. First, the rise of corporate events and conferences is a major factor, with companies globally investing in trade shows, seminars, and employee engagement activities. In 2024, North America alone saw over 15,000 corporate events held annually, contributing heavily to the demand for rental furniture services. Additionally, the increasing adoption of experiential marketing has created a demand for unique and customized event setups, driving further growth in the rental furniture segment. Lastly, sustainability trends are also boosting the market, as renting furniture is seen as an environmentally friendly alternative to purchasing and discarding items after each event.

The rental furniture services market is experiencing several emerging trends and innovations that are shaping the future of the industry. A notable development is the integration of technology into rental furniture solutions. For example, companies are now offering furniture equipped with built-in charging stations, LED lighting, and digital interfaces to enhance the functionality and user experience at events. In 2024, CORT Event Furnishings launched a new line of smart furniture that allows event organizers to control lighting and power sources through mobile apps, making event setups more seamless and interactive.

Another key trend is the growing emphasis on luxury and high-end rentals. As the events industry caters to a more affluent customer base, there has been a marked increase in demand for premium and designer furniture. Companies are offering exclusive furniture collections, often designed in collaboration with renowned interior designers, which has been particularly evident in high-profile corporate events and weddings. According to recent market data, the premium segment accounted for 28% of the total revenue in the global rental furniture market in 2024.

Additionally, there is a rising interest in eco-friendly furniture made from sustainable materials. This trend aligns with the broader push for sustainability within the events industry, as companies aim to reduce their carbon footprint. Furniture rental companies are increasingly sourcing eco-friendly products, such as recycled materials and sustainable woods, to meet consumer demand for green event solutions.

Despite the promising growth of the rental furniture services market, several challenges persist. One of the most significant barriers is the logistical complexity involved in delivering, setting up, and removing large quantities of furniture within tight timelines. Event organizers often face the challenge of ensuring timely and damage-free delivery, especially for large-scale events. This has led to increased operational costs for rental companies, which are impacting their bottom lines. For instance, a survey conducted by the Event Industry Council in 2024 indicated that 38% of event organizers experienced delays or complications with furniture logistics, leading to a need for further investments in supply chain optimization.

Lastly, the economic volatility and rising inflation in key markets could affect discretionary spending on non-essential items like event rentals. For example, in 2024, inflationary pressures in Europe led to reduced budgets for some corporate events, negatively impacting the demand for high-end rental furniture.

This report offers a comprehensive analysis of the global Meeting and Events Rental Furniture Services market, examining all key dimensions. It provides both a macro-level overview and micro-level market details, including market size, trends, competitive landscape, niche segments, growth drivers, and key challenges.

Report Framework and Key Highlights:

Market Dynamics: Identification of major market drivers, restraints, opportunities, and challenges.

Trend Analysis: Examination of ongoing and emerging trends impacting the market.

Competitive Landscape: Detailed profiles and market positioning of major players, including market share, operational status, product offerings, and strategic developments.

Strategic Analysis Tools: SWOT Analysis, Porter’s Five Forces Analysis, PEST Analysis, Value Chain Analysis

Market Segmentation: By type, application, region, and end-user industry.

Forecasting and Growth Projections: In-depth revenue forecasts and CAGR analysis through 2033.

This report equips readers with critical insights to navigate competitive dynamics and develop effective strategies. Whether assessing a new market entry or refining existing strategies, the report serves as a valuable tool for:

Industry players

Investors

Researchers

Consultants

Business strategists

And all stakeholders with an interest or investment in the Meeting and Events Rental Furniture Services market.

Global Meeting and Events Rental Furniture Services Market: Segmentation Analysis and Strategic Insights

This section of the report provides an in-depth segmentation analysis of the global Meeting and Events Rental Furniture Services market. The market is segmented based on region (country), manufacturer, product type, and application. Segmentation enables a more precise understanding of market dynamics and facilitates targeted strategies across product development, marketing, and sales.

By breaking the market into meaningful subsets, stakeholders can better tailor their offerings to the specific needs of each segment—enhancing competitiveness and improving return on investment.

Global Meeting and Events Rental Furniture Services Market: Market Segmentation Analysis

The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.

Key Companies Profiled

CORT Events

Event Prop Hire

Modern Event Furniture

Furniture Hire UK

Hire-AV

Expo Display Service

Viva Event Furniture

Event Hire UK

Möbel Meyer

Barton Event Hire

Patina Events

Furniturerental.net

Exhibition Furniture Hire

Signature Furniture Hire

Pure White Events

Fashion Furniture Rental

Luxe Modern Rentals

Fair.Rent

EagleFocus

idiliq Rent

Design4rent

Market Segmentation by Type

Seating solutions

Tables and surface

Event decor

Other equipment

Market Segmentation by Application

Conferences And Meetings

Exhibitions And Trade Fairs

Corporate Events

Festivals And Cultural Events

Sport and Music Events

Others

Geographic Segmentation

North America: United States, Canada, Mexico

Europe: Germany, France, Italy, U.K., Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium, Russia.

Asia-Pacific: China, Japan, South Korea, India, Australia, Indonesia, Malaysia, Philippines, Singapore, Thailand

South America: Brazil, Argentina, Colombia.

Middle East and Africa (MEA): Saudi Arabia, United Arab Emirates, Egypt, Nigeria, South Africa, Rest of MEA

Report Framework and Chapter Summary

Chapter 1: Report Scope and Market Definition

This chapter outlines the statistical boundaries and scope of the report. It defines the segmentation standards used throughout the study, including criteria for dividing the market by region, product type, application, and other relevant dimensions. It establishes the foundational definitions and classifications that guide the rest of the analysis.

Chapter 2: Executive Summary

This chapter presents a concise summary of the market’s current status and future outlook across different segments—by geography, product type, and application. It includes key metrics such as market size, growth trends, and development potential for each segment. The chapter offers a high-level overview of the Meeting and Events Rental Furniture Services Market, highlighting its evolution over the short, medium, and long term.

Chapter 3: Market Dynamics and Policy Environment

This chapter explores the latest developments in the market, identifying key growth drivers, restraints, challenges, and risks faced by industry participants. It also includes an analysis of the policy and regulatory landscape affecting the market, providing insight into how external factors may shape future performance.

Chapter 4: Competitive Landscape

This chapter provides a detailed assessment of the market's competitive environment. It covers market share, production capacity, output, pricing trends, and strategic developments such as mergers, acquisitions, and expansion plans of leading players. This analysis offers a comprehensive view of the positioning and performance of top competitors.

Chapters 5–10: Regional Market Analysis

These chapters offer in-depth, quantitative evaluations of market size and growth potential across major regions and countries. Each chapter assesses regional consumption patterns, market dynamics, development prospects, and available capacity. The analysis helps readers understand geographical differences and opportunities in global markets.

Chapter 11: Market Segmentation by Product Type

This chapter examines the market based on product type, analyzing the size, growth trends, and potential of each segment. It helps stakeholders identify underexplored or high-potential product categories—often referred to as “blue ocean” opportunities.

Chapter 12: Market Segmentation by Application

This chapter analyzes the market based on application fields, providing insights into the scale and future development of each application segment. It supports readers in identifying high-growth areas across downstream markets.

Chapter 13: Company Profiles

This chapter presents comprehensive profiles of leading companies operating in the market. For each company, it details sales revenue, volume, pricing, gross profit margin, market share, product offerings, and recent strategic developments. This section offers valuable insight into corporate performance and strategy.

Chapter 14: Industry Chain and Value Chain Analysis

This chapter explores the full industry chain, from upstream raw material suppliers to downstream application sectors. It includes a value chain analysis that highlights the interconnections and dependencies across various parts of the ecosystem.

Chapter 15: Key Findings and Conclusions

The final chapter summarizes the main takeaways from the report, presenting the core conclusions, strategic recommendations, and implications for stakeholders. It encapsulates the insights drawn from all previous chapters.

Table of Contents

238 Pages
1 Introduction
1.1 Machine Learning Software Market Definition
1.2 Machine Learning Software Market Segments
1.2.1 Segment by Type
1.2.2 Segment by Application
2 Executive Summary
2.1 Global Machine Learning Software Market Size
2.2 Market Segmentation – by Type
2.3 Market Segmentation – by Application
2.4 Market Segmentation – by Geography
3 Key Market Trends, Opportunity, Drivers and Restraints
3.1 Key Takeway
3.2 Market Opportunities & Trends
3.3 Market Drivers
3.4 Market Restraints
3.5 Market Major Factor Assessment
4 Global Machine Learning Software Market Competitive Landscape
4.1 Global Machine Learning Software Market Share by Company (2020-2025)
4.2 Machine Learning Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.3 New Entrant and Capacity Expansion Plans
4.4 Mergers & Acquisitions
5 Global Machine Learning Software Market by Region
5.1 Global Machine Learning Software Market Size by Region
5.2 Global Machine Learning Software Market Size Market Share by Region
6 North America Market Overview
6.1 North America Machine Learning Software Market Size by Country
6.1.1 USA Market Overview
6.1.2 Canada Market Overview
6.1.3 Mexico Market Overview
6.2 North America Machine Learning Software Market Size by Type
6.3 North America Machine Learning Software Market Size by Application
6.4 Top Players in North America Machine Learning Software Market
7 Europe Market Overview
7.1 Europe Machine Learning Software Market Size by Country
7.1.1 Germany Market Overview
7.1.2 France Market Overview
7.1.3 U.K. Market Overview
7.1.4 Italy Market Overview
7.1.5 Spain Market Overview
7.1.6 Sweden Market Overview
7.1.7 Denmark Market Overview
7.1.8 Netherlands Market Overview
7.1.9 Switzerland Market Overview
7.1.10 Belgium Market Overview
7.1.11 Russia Market Overview
7.2 Europe Machine Learning Software Market Size by Type
7.3 Europe Machine Learning Software Market Size by Application
7.4 Top Players in Europe Machine Learning Software Market
8 Asia-Pacific Market Overview
8.1 Asia-Pacific Machine Learning Software Market Size by Country
8.1.1 China Market Overview
8.1.2 Japan Market Overview
8.1.3 South Korea Market Overview
8.1.4 India Market Overview
8.1.5 Australia Market Overview
8.1.6 Indonesia Market Overview
8.1.7 Malaysia Market Overview
8.1.8 Philippines Market Overview
8.1.9 Singapore Market Overview
8.1.10 Thailand Market Overview
8.2 Asia-Pacific Machine Learning Software Market Size by Type
8.3 Asia-Pacific Machine Learning Software Market Size by Application
8.4 Top Players in Asia-Pacific Machine Learning Software Market
9 South America Market Overview
9.1 South America Machine Learning Software Market Size by Country
9.1.1 Brazil Market Overview
9.1.2 Argentina Market Overview
9.1.3 Columbia Market Overview
9.2 South America Machine Learning Software Market Size by Type
9.3 South America Machine Learning Software Market Size by Application
9.4 Top Players in South America Machine Learning Software Market
10 Middle East and Africa Market Overview
10.1 Middle East and Africa Machine Learning Software Market Size by Country
10.1.1 Saudi Arabia Market Overview
10.1.2 UAE Market Overview
10.1.3 Egypt Market Overview
10.1.4 Nigeria Market Overview
10.1.5 South Africa Market Overview
10.2 Middle East and Africa Machine Learning Software Market Size by Type
10.3 Middle East and Africa Machine Learning Software Market Size by Application
10.4 Top Players in Middle East and Africa Machine Learning Software Market
11 Machine Learning Software Market Segmentation by Type
11.1 Evaluation Matrix of Segment Market Development Potential (Type)
11.2 Global Machine Learning Software Market Share by Type (2020-2033)
12 Machine Learning Software Market Segmentation by Application
12.1 Evaluation Matrix of Segment Market Development Potential (Application)
12.2 Global Machine Learning Software Market Size (M USD) by Application (2020-2033)
12.3 Global Machine Learning Software Sales Growth Rate by Application (2020-2033)
13 Company Profiles
13.1 Amazon.com, Inc.
13.1.1 Amazon.com, Inc. Company Overview
13.1.2 Amazon.com, Inc. Business Overview
13.1.3 Amazon.com, Inc. Machine Learning Software Major Product Overview
13.1.4 Amazon.com, Inc. Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.1.5 Key News
13.2 Microsoft Corporation
13.2.1 Microsoft Corporation Company Overview
13.2.2 Microsoft Corporation Business Overview
13.2.3 Microsoft Corporation Machine Learning Software Major Product Overview
13.2.4 Microsoft Corporation Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.2.5 Key News
13.3 Google LLC
13.3.1 Google LLC Company Overview
13.3.2 Google LLC Business Overview
13.3.3 Google LLC Machine Learning Software Major Product Overview
13.3.4 Google LLC Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.3.5 Key News
13.4 IBM Corporation
13.4.1 IBM Corporation Company Overview
13.4.2 IBM Corporation Business Overview
13.4.3 IBM Corporation Machine Learning Software Major Product Overview
13.4.4 IBM Corporation Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.4.5 Key News
13.5 Oracle Corporation
13.5.1 Oracle Corporation Company Overview
13.5.2 Oracle Corporation Business Overview
13.5.3 Oracle Corporation Machine Learning Software Major Product Overview
13.5.4 Oracle Corporation Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.5.5 Key News
13.6 Databricks
13.6.1 Databricks Company Overview
13.6.2 Databricks Business Overview
13.6.3 Databricks Machine Learning Software Major Product Overview
13.6.4 Databricks Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.6.5 Key News
13.7 SAS Institute Inc.
13.7.1 SAS Institute Inc. Company Overview
13.7.2 SAS Institute Inc. Business Overview
13.7.3 SAS Institute Inc. Machine Learning Software Major Product Overview
13.7.4 SAS Institute Inc. Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.7.5 Key News
13.8 Hewlett Packard Enterprise Company
13.8.1 Hewlett Packard Enterprise Company Company Overview
13.8.2 Hewlett Packard Enterprise Company Business Overview
13.8.3 Hewlett Packard Enterprise Company Machine Learning Software Major Product Overview
13.8.4 Hewlett Packard Enterprise Company Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.8.5 Key News
13.9 SAP SE
13.9.1 SAP SE Company Overview
13.9.2 SAP SE Business Overview
13.9.3 SAP SE Machine Learning Software Major Product Overview
13.9.4 SAP SE Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.9.5 Key News
13.10 DataRobot
13.10.1 DataRobot Company Overview
13.10.2 DataRobot Business Overview
13.10.3 DataRobot Machine Learning Software Major Product Overview
13.10.4 DataRobot Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.10.5 Key News
13.11 Dataiku
13.11.1 Dataiku Company Overview
13.11.2 Dataiku Business Overview
13.11.3 Dataiku Machine Learning Software Major Product Overview
13.11.4 Dataiku Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.11.5 Key News
13.12 Instacart
13.12.1 Instacart Company Overview
13.12.2 Instacart Business Overview
13.12.3 Instacart Machine Learning Software Major Product Overview
13.12.4 Instacart Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.12.5 Key News
13.13 FICO
13.13.1 FICO Company Overview
13.13.2 FICO Business Overview
13.13.3 FICO Machine Learning Software Major Product Overview
13.13.4 FICO Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.13.5 Key News
13.14 Unity Technologies
13.14.1 Unity Technologies Company Overview
13.14.2 Unity Technologies Business Overview
13.14.3 Unity Technologies Machine Learning Software Major Product Overview
13.14.4 Unity Technologies Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.14.5 Key News
13.15 H2O.ai
13.15.1 H2O.ai Company Overview
13.15.2 H2O.ai Business Overview
13.15.3 H2O.ai Machine Learning Software Major Product Overview
13.15.4 H2O.ai Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.15.5 Key News
13.16 SoundHound
13.16.1 SoundHound Company Overview
13.16.2 SoundHound Business Overview
13.16.3 SoundHound Machine Learning Software Major Product Overview
13.16.4 SoundHound Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.16.5 Key News
13.17 BigML, Inc.
13.17.1 BigML, Inc. Company Overview
13.17.2 BigML, Inc. Business Overview
13.17.3 BigML, Inc. Machine Learning Software Major Product Overview
13.17.4 BigML, Inc. Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.17.5 Key News
13.18 InstaDeep Ltd
13.18.1 InstaDeep Ltd Company Overview
13.18.2 InstaDeep Ltd Business Overview
13.18.3 InstaDeep Ltd Machine Learning Software Major Product Overview
13.18.4 InstaDeep Ltd Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.18.5 Key News
13.19 Featurespace Limited
13.19.1 Featurespace Limited Company Overview
13.19.2 Featurespace Limited Business Overview
13.19.3 Featurespace Limited Machine Learning Software Major Product Overview
13.19.4 Featurespace Limited Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.19.5 Key News
13.20 Ersatz Labs Inc
13.20.1 Ersatz Labs Inc Company Overview
13.20.2 Ersatz Labs Inc Business Overview
13.20.3 Ersatz Labs Inc Machine Learning Software Major Product Overview
13.20.4 Ersatz Labs Inc Machine Learning Software Revenue and Gross Margin fromMachine Learning Software (2020-2025)
13.20.5 Key News
14 Key Market Trends, Opportunity, Drivers and Restraints
14.1 Key Takeway
14.2 Market Opportunities & Trends
14.3 Market Drivers
14.4 Market Restraints
14.5 Market Major Factor Assessment
14.6 Porter's Five Forces Analysis of Machine Learning Software Market
14.7 PEST Analysis of Machine Learning Software Market
15 Analysis of the Machine Learning Software Industry Chain
15.1 Overview of the Industry Chain
15.2 Upstream Segment Analysis
15.3 Midstream Segment Analysis
15.3.1 Manufacturing, Processing or Conversion Process Analysis
15.3.2 Key Technology Analysis
15.4 Downstream Segment Analysis
15.4.1 Downstream Customer List and Contact Details
15.4.2 Customer Concerns or Preference Analysis
16 Conclusion
17 Appendix
17.1 Methodology
17.2 Research Process and Data Source
17.3 Disclaimer
17.4 Note
17.5 Examples of Clients
17.6 Disclaimer
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