시장보고서
상품코드
1862229

가상 대기실 소프트웨어 : 세계 시장 점유율과 순위, 총판매량 및 수요 예측(2025-2031년)

Virtual Waiting Room Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031

발행일: | 리서치사: QYResearch | 페이지 정보: 영문 | 배송안내 : 2-3일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

세계의 가상 대기실 소프트웨어 시장 규모는 2024년에 4억 달러로 추정되며, 2025-2031년의 예측 기간 중 CAGR 11.6%로 성장하며, 2031년까지 7억 9,800만 달러로 확대할 것으로 예측되고 있습니다.

가상 대기실 소프트웨어는 예상치 못한 트래픽 급증시 사이트가 다운되는 것을 방지하기 위해 사용할 수 있는 소프트웨어의 일종입니다.

가상 대기실 소프트웨어 시장 시장 성장 촉진요인

1. E-Commerce(E-commerce)와 온라인 판매 이벤트의 급격한 확대

이것이 가장 중요한 촉진요인입니다. 온라인 쇼핑으로의 전환은 영구적인 것이며, 계속 확대되고 있습니다.

플래시 세일 및 한정 수량 판매: 한정 수량으로 수요가 많은 상품(예: 운동화, 콘서트 상품, 그래픽 카드 등)을 출시하는 브랜드는 VWR을 통해 엄청난 트래픽 증가를 관리하고 사이트가 다운되는 것을 방지할 수 있습니다.

블랙 프라이데이/사이버 먼데이(BFCM) : 이 기간은 EC 사이트에 있으며, 최고의 로드 테스트 기간입니다. 소매업체들은 현재 VWR을 인프라의 필수 요소로 인식하고 수백만 명의 동시 방문자를 수용하면서 사이트 다운을 방지하는 데 활용하고 있습니다.

일반 상품 출시: 대형 세일이 아니더라도 인기 상품 출시 시에는 트래픽이 급증하여 표준 EC 플랫폼에서는 대응이 어려울 수 있습니다.

2. 브랜드 평판 및 고객 경험 보호

웹사이트의 충돌이나 짜증날 정도로 느린 결제 프로세스는 브랜드 이미지를 직접적으로 손상시킵니다.

'사이트 다운' 보도 방지: 실패한 런칭만큼 소비자의 신뢰를 떨어뜨리는 것은 없습니다. VWR은 기술적 장애로 인한 부정적인 홍보를 방지합니다.

공정성 확보: VWR은 사용자를 선착순으로 대기열에 배치하여 봇을 방지합니다. 이를 통해 정회원 고객에게는 공평함을 느낄 수 있고, 상품을 구하지 못하더라도 자동 스크립트에 의한 부정이용을 의심하기보다 재방문 가능성이 높아집니다.

사용자 기대치 관리: 대기실에서는 진행률 표시줄, 예상 대기 시간 및 커뮤니케이션을 통해 명확한 기대치를 설정합니다. 이는 끊임없이 회전하는 로딩 아이콘이나 불분명한 오류 메시지보다 사용자에게 훨씬 덜 스트레스를 주는 것입니다.

3. 고 수요 경험의 디지털화

출입통제의 필요성은 기존의 E-Commerce를 훨씬 뛰어넘어 확대되고 있습니다.

온라인 이벤트 등록: 콘서트, 스포츠 이벤트, 페스티벌 티켓 판매. '티켓 마스터식'의 시스템 다운에 대한 우려는 행사 주최자에게 큐잉 기술 도입을 강력하게 촉구하는 요인으로 작용하고 있습니다.

웹사이트 출시 및 베타 프로그램 등록: 새로운 서비스 출시 및 인기 베타 프로그램 모집 시, 기술 기업은 VWR을 활용하여 서버에 부하를 주지 않고 수요를 관리할 수 있습니다.

정부 및 공공 서비스: 백신 예약, 운전면허 시험, 허가 신청 포털 사이트에서는 방대한 동시 접속을 공정하게 처리하기 위해 VWR을 채택하고 있습니다.

온라인 교육 및 웨비나: 인기 강좌 및 가상 좌석이 제한되어 있는 라이브 세션에서.

이 보고서는 가상 대기실 소프트웨어 세계 시장에 대해 총매출액, 주요 기업의 시장 점유율 및 순위를 중심으로 지역별, 국가별, 유형별, 용도별 분석을 종합적으로 제시하는 것을 목적으로 합니다.

가상 대기실 소프트웨어 시장 규모, 추정 및 예측은 2024년을 기준 연도로 하여 2020-2031년의 과거 데이터와 예측 데이터를 포함하는 매출액으로 제공되었습니다. 정량적 분석과 정성적 분석을 통해 독자들이 비즈니스/성장 전략을 수립하고, 시장 경쟁 구도를 평가하고, 현재 시장에서의 위치를 분석하고, 가상 대기실 소프트웨어에 대한 정보에 입각한 비즈니스 의사결정을 내릴 수 있도록 돕습니다.

시장 세분화

기업별

  • Queue-it
  • Fastly
  • Netacea(TrafficDefender)
  • ELCA(PeakProtect)
  • Akamai
  • AWS Solutions
  • CDNetworks
  • Cloudflare
  • Thales(Imperva)
  • Dialpad

유형별 부문

  • 온라인 소매
  • 티켓 판매
  • 교육
  • 공공 부문
  • 기타

용도별 부문

  • 대기업
  • 중소기업

지역별

  • 북미
    • 미국
    • 캐나다
  • 아시아태평양
    • 중국
    • 일본
    • 한국
    • 동남아시아
    • 인도
    • 호주
    • 기타 아시아태평양
  • 유럽
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 네덜란드
    • 북유럽 국가
    • 기타 유럽
  • 라틴아메리카
    • 멕시코
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • 튀르키예
    • 사우디아라비아
    • 아랍에미리트
    • 기타 중동 및 아프리카
KSA 25.12.22

자주 묻는 질문

  • 가상 대기실 소프트웨어 시장 규모는 어떻게 예측되나요?
  • 가상 대기실 소프트웨어의 주요 성장 촉진 요인은 무엇인가요?
  • 가상 대기실 소프트웨어가 브랜드 평판에 미치는 영향은 무엇인가요?
  • 가상 대기실 소프트웨어는 어떤 산업에서 활용되나요?
  • 가상 대기실 소프트웨어 시장의 주요 기업은 어디인가요?

The global market for Virtual Waiting Room Software was estimated to be worth US$ 400 million in 2024 and is forecast to a readjusted size of US$ 798 million by 2031 with a CAGR of 11.6% during the forecast period 2025-2031.

Virtual waiting room software is a type of software that can be used to prevent sites from crashing during periods of unexpected traffic spikes.

Virtual Waiting Room Software Market Drivers

1. The Explosion of E-commerce and Online Sales Events

This is the most significant driver. The shift to online shopping is permanent and expanding.

Flash Sales and Limited Drops: Brands releasing limited-quantity, high-demand products (e.g., sneakers, concert merch, graphics cards) use VWRs to manage the immense, sudden traffic surge and prevent site crashes.

Black Friday/Cyber Monday (BFCM): This period is the ultimate stress test for e-commerce sites. Retailers now consider VWRs a mandatory part of their infrastructure to handle millions of simultaneous visitors without their website going offline.

General Product Launches: Even outside major sales, launches of popular products can generate traffic spikes that cripple standard e-commerce platforms.

2. Protection of Brand Reputation and Customer Experience

A website crash or a frustratingly slow checkout process directly damages a brand's image.

Preventing "Website Crash" Headlines: Nothing erodes consumer trust faster than a failed launch. VWRs prevent the negative PR associated with technical failures.

Ensuring Fairness: VWRs combat bots by placing users in a first-come, first-served queue. This creates a perception of fairness for legitimate customers, who are more likely to return even if they don't get the product, as opposed to feeling cheated by automated scripts.

Managing User Expectations: A waiting room sets clear expectations with progress bars, estimated wait times, and communication. This is far less frustrating for users than constant spinning loaders or cryptic error messages.

3. The Digitization of High-Demand Experiences

The need for controlled access has expanded far beyond traditional e-commerce.

Online Event Registrations: Ticket sales for concerts, sports events, and festivals. The fear of a "Ticketmaster-style" crash is a powerful motivator for event organizers to adopt queueing technology.

Website Launches and Beta Program Sign-ups: Tech companies launching a new service or opening a coveted beta program use VWRs to manage interest without overwhelming their servers.

Government and Public Services: Portals for booking vaccination appointments, driver's tests, or submitting permit applications have adopted VWRs to handle massive, simultaneous demand fairly.

Online Education and Webinars: For popular courses or live sessions with limited virtual seats.

This report aims to provide a comprehensive presentation of the global market for Virtual Waiting Room Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Virtual Waiting Room Software by region & country, by Type, and by Application.

The Virtual Waiting Room Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Virtual Waiting Room Software.

Market Segmentation

By Company

  • Queue-it
  • Fastly
  • Netacea (TrafficDefender)
  • ELCA (PeakProtect)
  • Akamai
  • AWS Solutions
  • CDNetworks
  • Cloudflare
  • Thales (Imperva)
  • Dialpad

Segment by Type

  • Online Retail
  • Ticketing
  • Education
  • Public Sector
  • Other

Segment by Application

  • Large Enterprises
  • SMEs

By Region

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Southeast Asia
    • India
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Netherlands
    • Nordic Countries
    • Rest of Europe
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America
  • Middle East & Africa
    • Turkey
    • Saudi Arabia
    • UAE
    • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Virtual Waiting Room Software company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Virtual Waiting Room Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Virtual Waiting Room Software in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

  • 1.1 Virtual Waiting Room Software Product Introduction
  • 1.2 Global Virtual Waiting Room Software Market Size Forecast (2020-2031)
  • 1.3 Virtual Waiting Room Software Market Trends & Drivers
    • 1.3.1 Virtual Waiting Room Software Industry Trends
    • 1.3.2 Virtual Waiting Room Software Market Drivers & Opportunity
    • 1.3.3 Virtual Waiting Room Software Market Challenges
    • 1.3.4 Virtual Waiting Room Software Market Restraints
  • 1.4 Assumptions and Limitations
  • 1.5 Study Objectives
  • 1.6 Years Considered

2 Competitive Analysis by Company

  • 2.1 Global Virtual Waiting Room Software Players Revenue Ranking (2024)
  • 2.2 Global Virtual Waiting Room Software Revenue by Company (2020-2025)
  • 2.3 Key Companies Virtual Waiting Room Software Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies Virtual Waiting Room Software Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of Virtual Waiting Room Software
  • 2.6 Virtual Waiting Room Software Market Competitive Analysis
    • 2.6.1 Virtual Waiting Room Software Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by Virtual Waiting Room Software Revenue in 2024
    • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Virtual Waiting Room Software as of 2024)
  • 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

  • 3.1 Introduction by Type
    • 3.1.1 Online Retail
    • 3.1.2 Ticketing
    • 3.1.3 Education
    • 3.1.4 Public Sector
    • 3.1.5 Other
  • 3.2 Global Virtual Waiting Room Software Sales Value by Type
    • 3.2.1 Global Virtual Waiting Room Software Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global Virtual Waiting Room Software Sales Value, by Type (2020-2031)
    • 3.2.3 Global Virtual Waiting Room Software Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

  • 4.1 Introduction by Application
    • 4.1.1 Large Enterprises
    • 4.1.2 SMEs
  • 4.2 Global Virtual Waiting Room Software Sales Value by Application
    • 4.2.1 Global Virtual Waiting Room Software Sales Value by Application (2020 VS 2024 VS 2031)
    • 4.2.2 Global Virtual Waiting Room Software Sales Value, by Application (2020-2031)
    • 4.2.3 Global Virtual Waiting Room Software Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

  • 5.1 Global Virtual Waiting Room Software Sales Value by Region
    • 5.1.1 Global Virtual Waiting Room Software Sales Value by Region: 2020 VS 2024 VS 2031
    • 5.1.2 Global Virtual Waiting Room Software Sales Value by Region (2020-2025)
    • 5.1.3 Global Virtual Waiting Room Software Sales Value by Region (2026-2031)
    • 5.1.4 Global Virtual Waiting Room Software Sales Value by Region (%), (2020-2031)
  • 5.2 North America
    • 5.2.1 North America Virtual Waiting Room Software Sales Value, 2020-2031
    • 5.2.2 North America Virtual Waiting Room Software Sales Value by Country (%), 2024 VS 2031
  • 5.3 Europe
    • 5.3.1 Europe Virtual Waiting Room Software Sales Value, 2020-2031
    • 5.3.2 Europe Virtual Waiting Room Software Sales Value by Country (%), 2024 VS 2031
  • 5.4 Asia Pacific
    • 5.4.1 Asia Pacific Virtual Waiting Room Software Sales Value, 2020-2031
    • 5.4.2 Asia Pacific Virtual Waiting Room Software Sales Value by Region (%), 2024 VS 2031
  • 5.5 South America
    • 5.5.1 South America Virtual Waiting Room Software Sales Value, 2020-2031
    • 5.5.2 South America Virtual Waiting Room Software Sales Value by Country (%), 2024 VS 2031
  • 5.6 Middle East & Africa
    • 5.6.1 Middle East & Africa Virtual Waiting Room Software Sales Value, 2020-2031
    • 5.6.2 Middle East & Africa Virtual Waiting Room Software Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions Virtual Waiting Room Software Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions Virtual Waiting Room Software Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States Virtual Waiting Room Software Sales Value, 2020-2031
    • 6.3.2 United States Virtual Waiting Room Software Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States Virtual Waiting Room Software Sales Value by Application, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe Virtual Waiting Room Software Sales Value, 2020-2031
    • 6.4.2 Europe Virtual Waiting Room Software Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe Virtual Waiting Room Software Sales Value by Application, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China Virtual Waiting Room Software Sales Value, 2020-2031
    • 6.5.2 China Virtual Waiting Room Software Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China Virtual Waiting Room Software Sales Value by Application, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan Virtual Waiting Room Software Sales Value, 2020-2031
    • 6.6.2 Japan Virtual Waiting Room Software Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan Virtual Waiting Room Software Sales Value by Application, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea Virtual Waiting Room Software Sales Value, 2020-2031
    • 6.7.2 South Korea Virtual Waiting Room Software Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea Virtual Waiting Room Software Sales Value by Application, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia Virtual Waiting Room Software Sales Value, 2020-2031
    • 6.8.2 Southeast Asia Virtual Waiting Room Software Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia Virtual Waiting Room Software Sales Value by Application, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India Virtual Waiting Room Software Sales Value, 2020-2031
    • 6.9.2 India Virtual Waiting Room Software Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India Virtual Waiting Room Software Sales Value by Application, 2024 VS 2031

7 Company Profiles

  • 7.1 Queue-it
    • 7.1.1 Queue-it Profile
    • 7.1.2 Queue-it Main Business
    • 7.1.3 Queue-it Virtual Waiting Room Software Products, Services and Solutions
    • 7.1.4 Queue-it Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.1.5 Queue-it Recent Developments
  • 7.2 Fastly
    • 7.2.1 Fastly Profile
    • 7.2.2 Fastly Main Business
    • 7.2.3 Fastly Virtual Waiting Room Software Products, Services and Solutions
    • 7.2.4 Fastly Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.2.5 Fastly Recent Developments
  • 7.3 Netacea (TrafficDefender)
    • 7.3.1 Netacea (TrafficDefender) Profile
    • 7.3.2 Netacea (TrafficDefender) Main Business
    • 7.3.3 Netacea (TrafficDefender) Virtual Waiting Room Software Products, Services and Solutions
    • 7.3.4 Netacea (TrafficDefender) Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.3.5 Netacea (TrafficDefender) Recent Developments
  • 7.4 ELCA (PeakProtect)
    • 7.4.1 ELCA (PeakProtect) Profile
    • 7.4.2 ELCA (PeakProtect) Main Business
    • 7.4.3 ELCA (PeakProtect) Virtual Waiting Room Software Products, Services and Solutions
    • 7.4.4 ELCA (PeakProtect) Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.4.5 ELCA (PeakProtect) Recent Developments
  • 7.5 Akamai
    • 7.5.1 Akamai Profile
    • 7.5.2 Akamai Main Business
    • 7.5.3 Akamai Virtual Waiting Room Software Products, Services and Solutions
    • 7.5.4 Akamai Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.5.5 Akamai Recent Developments
  • 7.6 AWS Solutions
    • 7.6.1 AWS Solutions Profile
    • 7.6.2 AWS Solutions Main Business
    • 7.6.3 AWS Solutions Virtual Waiting Room Software Products, Services and Solutions
    • 7.6.4 AWS Solutions Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.6.5 AWS Solutions Recent Developments
  • 7.7 CDNetworks
    • 7.7.1 CDNetworks Profile
    • 7.7.2 CDNetworks Main Business
    • 7.7.3 CDNetworks Virtual Waiting Room Software Products, Services and Solutions
    • 7.7.4 CDNetworks Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.7.5 CDNetworks Recent Developments
  • 7.8 Cloudflare
    • 7.8.1 Cloudflare Profile
    • 7.8.2 Cloudflare Main Business
    • 7.8.3 Cloudflare Virtual Waiting Room Software Products, Services and Solutions
    • 7.8.4 Cloudflare Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.8.5 Cloudflare Recent Developments
  • 7.9 Thales (Imperva)
    • 7.9.1 Thales (Imperva) Profile
    • 7.9.2 Thales (Imperva) Main Business
    • 7.9.3 Thales (Imperva) Virtual Waiting Room Software Products, Services and Solutions
    • 7.9.4 Thales (Imperva) Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.9.5 Thales (Imperva) Recent Developments
  • 7.10 Dialpad
    • 7.10.1 Dialpad Profile
    • 7.10.2 Dialpad Main Business
    • 7.10.3 Dialpad Virtual Waiting Room Software Products, Services and Solutions
    • 7.10.4 Dialpad Virtual Waiting Room Software Revenue (US$ Million) & (2020-2025)
    • 7.10.5 Dialpad Recent Developments

8 Industry Chain Analysis

  • 8.1 Virtual Waiting Room Software Industrial Chain
  • 8.2 Virtual Waiting Room Software Upstream Analysis
    • 8.2.1 Key Raw Materials
    • 8.2.2 Raw Materials Key Suppliers
    • 8.2.3 Manufacturing Cost Structure
  • 8.3 Midstream Analysis
  • 8.4 Downstream Analysis (Customers Analysis)
  • 8.5 Sales Model and Sales Channels
    • 8.5.1 Virtual Waiting Room Software Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 Virtual Waiting Room Software Distributors

9 Research Findings and Conclusion

10 Appendix

  • 10.1 Research Methodology
    • 10.1.1 Methodology/Research Approach
      • 10.1.1.1 Research Programs/Design
      • 10.1.1.2 Market Size Estimation
      • 10.1.1.3 Market Breakdown and Data Triangulation
    • 10.1.2 Data Source
      • 10.1.2.1 Secondary Sources
      • 10.1.2.2 Primary Sources
  • 10.2 Author Details
  • 10.3 Disclaimer
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