市場調查報告書
商品編碼
1466047
雲端基礎的客服中心市場:按解決方案、服務、組織規模、應用程式、部署模型和產業分類 - 2024-2030 年全球預測Cloud-Based Contact Center Market by Solution, Service, Organization Size, Application, Deployment Model, Vertical - Global Forecast 2024-2030 |
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預計2023年雲端基礎客服中心市場規模將達178.6億美元,2024年將達210.4億美元,預計2030年將達568.2億美元,複合年成長率為17.97%。
雲端基礎的客服中心,也稱為客服中心即服務(CCaaS),是一種透過雲端託管軟體提供客戶服務管理功能的綜合通訊解決方案。這種現代化的客服中心方法利用雲端技術並提供工具,讓您能夠跨多個管道(包括語音、電子郵件、聊天和社交媒體)管理人際互動。雲端服務的日益普及、透過人工智慧 (AI) 和機器學習 (ML) 實現面向客戶的服務的進步以及對全通路通訊的日益重視正在推動對雲端基礎的客服中心的需求。然而,與雲端基礎的中心整合相關的高成本以及侵犯隱私的問題是最終用戶和關鍵參與者面臨的主要挑戰。為了克服雲端基礎的客服中心的隱私和安全問題,公司正在關注客戶行為的預測分析、人工智慧主導的自動化客戶服務代理以及安全雲端基礎設施的開發方面的創新。此外,整合人工智慧、聊天機器人和分析等新技術來增強客戶服務對於 CCaaS 提供者來說是一個巨大的機會。開發與現有IT基礎設施無縫整合的解決方案並為特定行業提供專業服務,為主要參與者開闢了新的途徑。
主要市場統計 | |
---|---|
基準年[2023] | 178.6億美元 |
預測年份 [2024] | 210.4億美元 |
預測年份 [2030] | 568.2億美元 |
複合年成長率(%) | 17.97% |
解決方案 整合智慧撥號器、ACD 和 IVR 系統,提高座席工作效率並減少空閒時間
座席效能最佳化是雲端基礎的客服中心的關鍵功能,旨在提高座席效率和有效性。透過利用即時分析和勞動力管理工具,客服中心可以密切監控和分析座席績效。自動呼叫分配 (ACD) 系統對於管理雲端基礎的客服中心環境中的入境聯絡人至關重要。 ACD 的演算法根據語言偏好、產品知識和客戶價值等預先定義規則,智慧地將呼叫路由到最合適的座席。這些系統旨在最大限度地減少延遲並確保可用代理之間公平的工作負載分配。另一方面,撥號器是雲端基礎的客服中心的關鍵組件,可以自動化撥打電話的過程。撥號器類型包括預測式、漸進式和預覽式,每種類型都有操作優勢。例如,預測撥號器透過預測座席運作並提前自動撥打多個號碼來實現大容量通話。此外,互動式語音應答 (IVR) 系統是現代雲端基礎的客服中心的重要組成部分,為客戶提供自動化自助服務選項。透過採用語音辨識和按鍵式小鍵盤選擇,IVR 系統可以回應客戶詢問、付款並有效地導航選單以將客戶引導至適當的部門或代理商。
服務:增加 IT 中託管和專業服務的使用,以提供更大的可擴展性、安全監控和管理。
在雲端基礎的客服中心中,服務交付對於確保簡化營運和最佳功能至關重要。託管服務包含各種解決方案,可促進雲端基礎的客服中心的持續管理、維護和最佳化。這些服務旨在透過提供 24 小時監控、安全性與合規性更新以及主動故障排除來最大程度地減輕內部 IT 人員的負擔,所有這些都極大地有助於持續的效能和可靠性。另一方面,專業服務解決了在實施、客製化客服中心解決方案並將其整合到現有業務工作流程的關鍵階段對專家指導的需求。這些服務確保雲端基礎的客服中心部署完全符合組織的目標,使企業能夠獲得最大的收益並推動整體成長。
大型和小型組織採用雲端基礎的客服中心可以滿足更大的客戶群,同時提高客戶滿意度和忠誠度。
大型公司通常擁有許多客戶,因此需要強大且擴充性的客服中心解決方案。雲端客服中心使這些公司能夠改善客戶體驗、保持競爭力並支援全球員工隊伍。雲端解決方案的擴充性對於大型企業尤其有利,因為它們可以根據客戶需求客製化服務,從而提高業務效率並節省成本。中小型企業(SME)通常資源有限且客戶服務團隊規模較小,因此可以從基於雲端基礎的客服中心的彈性和成本效率中受益匪淺。這些系統使小型企業能夠獲得以前為大公司保留的複雜技術。
具有基於應用雲端基礎的資料中心的組織內工作負載最佳化的各種應用
雲端基礎的客服中心利用先進的演算法,根據座席技能、運作和呼叫者資訊等標準分配來電,從而有效地處理呼叫路由和排隊。這種先進的路由可確保有效的呼叫流量管理、最大限度地減少延遲並在可用座席之間均勻分配工作負載。透過將雲端基礎的客服中心應用於聊天品質和監控,您可以即時監控和分析客戶與座席的互動。聊天記錄中的情緒分析和關鍵字追蹤可提供對客戶滿意度和服務品質的深入了解。該雲端平台還促進了使用人工智慧技術的聊天機器人的整合,以響應日常查詢,從而使人工代理能夠保持聊天品質。雲端基礎的客服中心將多個通訊管道和系統整合到一個統一的平台中,簡化了資料整合和記錄。雲端基礎的客服中心會自動記錄電話、聊天、電子郵件和社群媒體中的每一次客戶互動,以建立全面的客戶檔案。客戶資料的整體情況使座席能夠即時存取呼叫歷史記錄和訊息,從而極大地改善客戶體驗。雲端基礎的客服中心可實現即時決策。管理員可以存取即時儀表板,其中顯示重要指標,例如呼叫量、服務等級和座席績效。此外,雲端基礎的客服中心透過先進的調度、需求預測和績效管理功能提供增強的勞動力最佳化。該應用程式可以無縫預測客戶互動量,從而可以準確地配置人員來滿足預測的需求。雲端的敏捷性使管理人員能夠根據即時分析快速調整人員配置等級或安排額外的培訓課程。
部署模型:私有雲端雲和公有雲部署提供了更高的安全性、彈性以及對資料管治和隱私的控制。
客服中心的私有雲端部署使用專用單一組織的雲端運算平台。該模型提供了更多的控制、安全性和客製化。基礎設施可以在本地託管,也可以由第三方提供者在外部託管。擁有敏感資料的組織通常選擇私有雲端部署模型,因為他們有特定的法規遵循要求或需要客製化的解決方案。另一方面,客服中心的公有雲端部署是指利用多個組織透過網際網路付費或訂閱即可使用的雲端服務。
按行業分類:雲端基礎的資料中心擴大應用於各個行業,以提供關鍵資訊並確保緊急情況下的彈性
銀行、金融服務和保險 (BFSI) 行業正在利用雲端基礎的客服中心來增強客戶服務和安全交易管理。這些平台擴充性,可以處理通訊的激增,保持對敏感資料法規的遵守,並透過人工智慧主導的聊天機器人和分析實現客戶個人化和效率。消費品和零售業可以利用全通路支援來建立更好的客戶旅程、管理尖峰時段活動並快速整合消費者洞察以提高忠誠度和收益,雲端基礎的解決方案已變得極其重要。由於其成本效益、強大的安全性和適應性強的框架,政府機構正在採用這些系統來增強公民互動、提供關鍵資訊並確保在緊急情況下的復原力。在醫療保健和生命科學領域,這些聯絡中心可實現保密通訊、實現遠距病患接觸點、遵守醫療法規、簡化臨床業務並改善提供醫療照護的基本要素。市場動態促使這些中心最佳化與供應鏈的互動,保持與客戶和供應商的聯繫,保持全球業務敏捷性,並確保對市場動態做出快速回應。在媒體和娛樂領域,我們使用分析來了解消費者趨勢,並利用雲端基礎的客服中心來實現受眾參與、事件回應和持續支援。此外,雲端基礎的客服中心在提供可靠的技術支援和服務管理方面發揮著至關重要的作用。這些技術適應高科技進步,與多種通訊管道整合,並提供強大的服務等級協定 (SLA),以確保客戶滿意度並在競爭激烈的行業中客戶維繫。
區域洞察
美洲,特別是美國和加拿大,處於採用雲端基礎的客服中心解決方案的前沿。在美國,強大的技術基礎設施和市場競爭正在推動公司尋求創新的客戶服務解決方案。對改善客戶經驗以及將人工智慧與雲端基礎的平台整合以實現個人化互動的高度重視正在推動該地區對雲端基礎的客服中心的需求。歐盟 (EU) 國家展現了對資料保護和隱私的堅定承諾,影響了客戶對雲端基礎的客服中心的購買行為。隨著一般資料保護規範 (GDPR) 的採用,歐盟客戶越來越意識到自己的權利,雲端服務供應商面臨確保合規性和安全資料處理的壓力。同時,中東國家正經歷快速的數位轉型,雲端基礎的技術日益普及。亞太地區是多元化的,其中中國、日本和印度等國家是主要參與者,每個國家都有獨特的消費者需求和購買行為。中國正積極投資雲端技術,擁有眾多與雲端處理和人工智慧相關的專利。同時,日本的客戶服務文化非常細緻,推動了對複雜的雲端基礎的客服中心的需求。印度正在經歷一場數位革命,雲端服務迅速普及,尤其是在中小企業中。
FPNV定位矩陣
FPNV定位矩陣對於評估雲端基礎的客服中心市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一個綜合工具,可以對基於雲端基礎的客服中心市場供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4. 競爭評估和情報:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況和製造能力進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1.雲端基礎客服中心市場規模及預測是多少?
2.在基於雲端基礎的客服中心市場的預測期內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3.雲端基礎客服中心市場的技術趨勢和法規結構是什麼?
4.雲端基礎客服中心市場主要廠商的市場佔有率如何?
5. 進入雲端基礎客服中心市場的合適型態和策略手段是什麼?
[184 Pages Report] The Cloud-Based Contact Center Market size was estimated at USD 17.86 billion in 2023 and expected to reach USD 21.04 billion in 2024, at a CAGR 17.97% to reach USD 56.82 billion by 2030.
A cloud-based contact center, also known as a contact center as a service (CCaaS), is a comprehensive communication solution that provides customer service management capabilities through cloud-hosted software. This modern approach to contact centers leverages cloud technology to deliver tools that enable businesses to manage people's interactions across multiple channels, such as voice, email, chat, and social media. Increasing adoption of cloud services, advancements in artificial intelligence (AI) and machine learning (ML) for customer interaction services, and the growing emphasis on omnichannel communication boost the demand for cloud-based contact centers. However, the high cost associated with integrating cloud-based centers, along with the privacy breaches, is a significant challenge faced by the end users and key players. Companies are focusing on innovation in predictive analytics for customer behavior, AI-driven automated customer service agents, and the development of secure cloud infrastructure to overcome the issues related to the privacy and security of cloud-based contact centers. Moreover, integrating emerging technologies such as AI, chatbots, and analytics for enhanced customer service presents a significant opportunity for CCaaS providers. Developing solutions for seamless integration with existing IT infrastructure and providing specialized services for specific industry verticals present new avenues for key players.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 17.86 billion |
Estimated Year [2024] | USD 21.04 billion |
Forecast Year [2030] | USD 56.82 billion |
CAGR (%) | 17.97% |
Solution: Integration of smart dialers, ACD, and IVR systems to increase agent productivity and reduce idle time
Agent performance optimization is a crucial feature within cloud-based contact centers, designed to enhance the efficiency and effectiveness of agents. By leveraging real-time analytics and workforce management tools, contact centers can closely monitor and analyze their agents' performance. Automatic call distribution (ACD) systems are pivotal in managing inbound contact in a cloud-based contact center environment. ACD algorithms intelligently route calls to the most appropriate agent based on predefined rules such as language preference, product knowledge, and customer value. These systems are designed to minimize wait times and ensure a fair workload distribution amongst available agents. On the other hand, dialers are a significant component in cloud-based contact centers, automating the process of making outgoing calls. There are different types of dialers, such as predictive, progressive, and preview, each with operational advantages. Predictive dialers, for instance, allow for a high volume of calls by predicting agent availability and auto-dialing multiple numbers ahead of time. Moreover, interactive voice response (IVR) systems are an essential facet of modern cloud-based contact centers, facilitating automated self-service options for customers. IVR systems can efficiently guide customers through menus to address their queries, make payments, and direct them to the appropriate department or agent by employing voice recognition and touch-tone keypad selection.
Service: Exponential uses of managed and professional services in IT offering better scalability, security monitoring, and management
In cloud-based contact centers, service offerings are pivotal in ensuring streamlined operations and optimal functionality. Managed services encompass a spectrum of tailored solutions that facilitate a cloud-based contact center's continuous management, maintenance, and optimization. These services are designed to minimize the burden on internal IT staff by providing round-the-clock monitoring, security and compliance updates, and proactive troubleshooting, all of which contribute to sustained high performance and reliability. On the other hand, professional services address the need for expert guidance during critical phases such as implementation, customization, and integration of contact center solutions into existing business workflows. These services ensure that implementing the cloud-based contact center is perfectly in sync with the organization's goals, enabling businesses to fully exploit their investment benefits and foster overall growth.
Organization Size: Adoption of cloud-based contact centers in large and SMEs to cater larger customer base while improving customer satisfaction and loyalty
Large enterprises typically have a substantial customer base, necessitating robust and scalable contact center solutions. Cloud contact centers allow these organizations to enhance customer experience, maintain a competitive edge, and support a global workforce. The scalability of cloud solutions is particularly advantageous for large organizations as they can adjust their services in response to customer demand, potentially leading to improved operational efficiency and cost savings. Small and medium-sized enterprises (SMEs), with their typically limited resources and smaller customer service teams, can significantly benefit from the flexibility and cost-efficiency of cloud-based contact centers. These systems provide SMEs access to sophisticated technology previously affordable for larger companies.
Application: Varied applications of cloud-based data centers to optimize a workload in organizations
A cloud-based contact center effectively handles call routing and queuing by leveraging sophisticated algorithms to distribute incoming calls based on criteria such as agent skill sets, availability, and caller information. This advanced routing ensures efficient call traffic management, minimizing wait times and evenly distributing the workload among available agents. The application of cloud-based contact centers in chat quality and monitoring enables real-time supervision and analysis of customer-agent interactions. Sentiment analysis and keyword tracking within chat transcripts offer insights into customer satisfaction and service quality. Cloud platforms also facilitate the integration of chatbots using AI technologies to handle routine inquiries, permitting human agents to maintain chat quality. Cloud-based contact centers consolidate multiple communication channels and systems into a unified platform, simplifying data integration and recording. They automatically log every customer interaction across phone calls, chats, email, and social media, creating comprehensive customer profiles. This holistic view of customer data streamlines the process for agents, giving them immediate access to caller history and information, significantly enhancing the customer experience. Leveraging cloud-based contact centers empowers businesses with real-time decision-making capabilities. Managers can access live dashboards that display critical metrics such as call volumes, service levels, and agent performance. Moreover, workforce optimization is enhanced in cloud-based contact centers through advanced scheduling, forecast demand, and performance management features. Applications allow seamless forecasting of customer interaction volumes, enabling accurate staffing to meet the anticipated demand. The agility of the cloud allows managers to quickly adjust staffing levels or schedule additional training sessions in response to real-time analytics.
Deployment Model: Implementation of private and public cloud deployment providing enhanced security, flexibility, and control over data governance and privacy
A private cloud deployment for a contact center involves a cloud computing platform dedicated exclusively to a single organization. This model provides enhanced control, security, and customization. The infrastructure is hosted either on-premises or externally by a third-party provider. Organizations that deal with sensitive data have specific regulatory compliance requirements or need customized solutions, often opting for a private cloud deployment model. On the other hand, public cloud deployment for contact centers refers to utilizing cloud services available to multiple organizations through the Internet on a pay-per-use or subscription basis.
Vertical: Expanding uses of cloud-based data centers in varied sectors offering critical information, and ensuring resilience during emergencies
The banking, financial services, and insurance (BFSI) sector capitalizes on cloud-based contact centers to elevate client servicing and secure transaction management. These platforms afford scalability to accommodate surges in communication, maintain compliance with regulations regarding sensitive data, and deliver customer personalization and efficiency through AI-driven chatbots and analytics. In consumer goods and retail, cloud-based solutions are pivotal in forging superior customer journeys via omnichannel support, managing peak seasonal activity, and swiftly integrating shopper insights to boost loyalty and revenues. Government agencies are adopting these systems for their cost-effectiveness, robust security, and adaptive frameworks, enhancing citizen interactions, providing critical information, and ensuring resilience during emergencies. In healthcare and life sciences, such contact centers are indispensable for confidential communication, enabling remote patient touchpoints, adherence to health regulations, streamlining clinical operations, and promoting better health delivery. Manufacturers utilize these centers to optimize supply chain dialogue, maintain customer and supplier bonds, and uphold global business agility, ensuring a rapid response to market dynamics. The media and entertainment sector relies on cloud-based contact centers for audience engagement, event handling, and continuous support, employing analytics to decode consumer trends. Moreover, cloud-based contact centers are pivotal in offering reliable technical support and service management. These technologies adapt to high-tech advancements, integrate with multiple communication channels, and provide robust service level agreements (SLAs) to ensure customer satisfaction and retention in a highly competitive industry.
Regional Insights
The Americas region, particularly the United States and Canada, stands at the forefront of adopting cloud-based contact center solutions. A robust technological infrastructure and a competitive market have pushed businesses toward innovative customer service solutions in the United States. A significant focus on enhancing customer experience and integrating artificial intelligence with cloud-based platforms to personalize interactions propels the demand for cloud-based contact centers in this region. The European Union (EU) countries demonstrate a strong commitment to data protection and privacy, impacting customer purchasing behavior about cloud-based contact centers. Adopting the General Data Protection Regulation (GDPR) has made EU customers more aware of their rights, compelling cloud service providers to ensure compliance and secure data handling. At the same time, Middle Eastern countries are witnessing a burgeoning digital transformation, with cloud-based technologies gaining traction. The Asia Pacific region is diverse, with countries including China, Japan, and India as key players, each with unique consumer needs and purchasing behaviors. China is aggressively investing in cloud technologies and has produced many patents on cloud computing and artificial intelligence. Meanwhile, Japan's customer service culture is meticulous, driving demand for sophisticated cloud-based contact centers. India is experiencing a digital revolution, with cloud services quickly gaining prominence, especially among small and medium-sized enterprises (SMEs).
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Cloud-Based Contact Center Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Cloud-Based Contact Center Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Cloud-Based Contact Center Market, highlighting leading vendors and their innovative profiles. These include 3CLogic, Inc., 8x8, Inc., Aircall.io, Inc., Alvaria, Inc., Amazon Web Services, Inc., Ameyo Pvt. Ltd., Avaya LLC, Barco NV, Calabrio, Inc., Cisco Systems, Inc., Content Guru Limited, Enghouse Interactive Inc., Evolve IP, LLC, Five9, Inc., Genesys Telecommunications Laboratories, Inc., Microsoft Corporation, NICE Ltd., Oracle Corporation, Ozonetel Communications Inc., Pypestream Inc., RingCentral, Inc., Talkdesk, Inc., TCN, Inc., TechSee Augmented Vision Ltd., Twilio Inc., VocalCom S.A., Vonage Holdings Corp., Zendesk, Inc., and Zoho Corporation Pvt. Ltd..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Cloud-Based Contact Center Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Cloud-Based Contact Center Market?
3. What are the technology trends and regulatory frameworks in the Cloud-Based Contact Center Market?
4. What is the market share of the leading vendors in the Cloud-Based Contact Center Market?
5. Which modes and strategic moves are suitable for entering the Cloud-Based Contact Center Market?