市场调查报告书
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1466047
云端基础的客服中心市场:按解决方案、服务、组织规模、应用程式、部署模型和产业划分 - 2024-2030 年全球预测Cloud-Based Contact Center Market by Solution, Service, Organization Size, Application, Deployment Model, Vertical - Global Forecast 2024-2030 |
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预计2023年云端基础客服中心市场规模将达178.6亿美元,2024年将达210.4亿美元,预计2030年将达568.2亿美元,复合年增长率为17.97%。
云端基础的客服中心,也称为客服中心即服务(CCaaS),是一种透过云端託管软体提供客户服务管理功能的综合通讯解决方案。这种现代化的客服中心方法利用云端技术并提供工具,让您能够跨多个管道(包括语音、电子邮件、聊天和社交媒体)管理人际互动。云端服务的日益普及、透过人工智慧 (AI) 和机器学习 (ML) 实现面向客户的服务的进步以及对全通路通讯的日益重视正在推动对云端基础的客服中心的需求。然而,与云端基础的中心整合相关的高成本以及侵犯隐私的问题是最终用户和关键参与者面临的主要挑战。为了克服云端基础的客服中心的隐私和安全问题,公司正在关注客户行为的预测分析、人工智慧主导的自动化客户服务代理以及安全云端基础设施的开发方面的创新。此外,整合人工智慧、聊天机器人和分析等新技术来增强客户服务对于 CCaaS 提供者来说是一个巨大的机会。开发与现有IT基础设施无缝整合的解决方案并为特定行业提供专业服务,为主要参与者开闢了新的途径。
主要市场统计 | |
---|---|
基准年[2023] | 178.6亿美元 |
预测年份 [2024] | 210.4亿美元 |
预测年份 [2030] | 568.2亿美元 |
复合年增长率(%) | 17.97% |
解决方案 整合智慧拨号器、ACD 和 IVR 系统,提高座席工作效率并减少空閒时间
座席效能最佳化是云端基础的客服中心的关键功能,旨在提高座席效率和有效性。透过利用即时分析和劳动力管理工具,客服中心可以密切监控和分析座席绩效。自动呼叫分配 (ACD) 系统对于管理云端基础的客服中心环境中的入境联络人至关重要。 ACD 的演算法根据语言偏好、产品知识和客户价值等预先定义规则,智慧地将呼叫路由到最合适的座席。这些系统旨在最大限度地减少延迟并确保可用代理之间公平的工作负载分配。另一方面,拨号器是云端基础的客服中心的关键组件,可以自动化拨打电话的过程。拨号器类型包括预测式、渐进式和预览式,每种类型都有操作优势。例如,预测拨号器透过预测座席运作并提前自动拨打多个号码来实现大容量通话。此外,互动式语音应答 (IVR) 系统是现代云端基础的客服中心的重要组成部分,为客户提供自动化自助服务选项。透过采用语音辨识和按键式小键盘选择,IVR 系统可以回应客户询问、付款并有效地导航选单以将客户引导至适当的部门或代理商。
服务:增加 IT 中託管和专业服务的使用,以提供更大的可扩展性、安全监控和管理。
在云端基础的客服中心中,服务交付对于确保简化营运和最佳功能至关重要。託管服务包含各种解决方案,可促进云端基础的客服中心的持续管理、维护和最佳化。这些服务旨在透过提供 24 小时监控、安全性与合规性更新以及主动故障排除来最大程度地减轻内部 IT 人员的负担,所有这些都极大地有助于持续的效能和可靠性。另一方面,专业服务解决了在实施、客製化客服中心解决方案并将其整合到现有业务工作流程的关键阶段对专家指导的需求。这些服务确保云端基础的客服中心部署完全符合组织的目标,使企业能够获得最大的收益并推动整体成长。
大型和小型组织采用云端基础的客服中心可以满足更大的客户群,同时提高客户满意度和忠诚度。
大型公司通常拥有许多客户,因此需要强大且扩充性的客服中心解决方案。云端客服中心使这些公司能够改善客户体验、保持竞争力并支援全球员工队伍。云端解决方案的扩充性对于大型企业尤其有利,因为它们可以根据客户需求客製化服务,从而提高业务效率并节省成本。中小型企业(SME)通常资源有限且客户服务团队规模较小,因此可以从基于云端基础的客服中心的弹性和成本效率中受益匪浅。这些系统使小型企业能够获得以前为大公司保留的复杂技术。
具有基于应用云端基础的资料中心的组织内工作负载最佳化的各种应用
云端基础的客服中心利用先进的演算法,根据座席技能、运作和呼叫者资讯等标准分配来电,从而有效地处理呼叫路由和排队。这种先进的路由可确保有效的呼叫流量管理、最大限度地减少延迟并在可用座席之间均匀分配工作负载。透过将云端基础的客服中心应用于聊天品质和监控,您可以即时监控和分析客户与座席的互动。聊天记录中的情绪分析和关键字追踪可提供对客户满意度和服务品质的深入了解。该云端平台还促进了使用人工智慧技术的聊天机器人的集成,以响应日常查询,从而使人工代理能够保持聊天品质。云端基础的客服中心将多个通讯管道和系统整合到一个统一的平台中,简化了资料整合和记录。云端基础的客服中心会自动记录电话、聊天、电子邮件和社群媒体中的每一次客户互动,以建立全面的客户檔案。客户资料的整体情况使座席能够即时存取呼叫历史记录和讯息,从而极大地改善客户体验。云端基础的客服中心可实现即时决策。管理员可以存取即时仪表板,其中显示重要指标,例如呼叫量、服务等级和座席绩效。此外,云端基础的客服中心透过先进的调度、需求预测和绩效管理功能提供增强的劳动力优化。该应用程式可以无缝预测客户互动量,从而可以准确地配置人员来满足预测的需求。云端的敏捷性使管理人员能够根据即时分析快速调整人员配置等级或安排额外的培训课程。
部署模型:私有云端云和公有云部署提供了更高的安全性、弹性以及对资料管治和隐私的控制。
客服中心的私有云端部署使用专用单一组织的云端运算平台。该模型提供了更多的控制、安全性和客製化。基础设施可以在本地託管,也可以由第三方提供者在外部託管。拥有敏感资料的组织通常选择私有云端部署模型,因为他们有特定的法规遵循要求或需要客製化的解决方案。另一方面,客服中心的公有云端部署是指利用多个组织透过网际网路付费或订阅即可使用的云端服务。
按行业划分:云端基础的资料中心越来越多地应用于各个行业,以提供关键资讯并确保紧急情况下的弹性
银行、金融服务和保险 (BFSI) 行业正在利用云端基础的客服中心来增强客户服务和安全交易管理。这些平台扩充性,可以处理通讯的激增,保持对敏感资料法规的遵守,并透过人工智慧主导的聊天机器人和分析实现客户个人化和效率。消费品和零售业可以利用全通路支援来建立更好的客户旅程、管理尖峰时段活动并快速整合消费者洞察以提高忠诚度和收益,云端基础的解决方案已变得极其重要。由于其成本效益、强大的安全性和适应性强的框架,政府机构正在采用这些系统来增强公民互动、提供关键资讯并确保在紧急情况下的復原力。在医疗保健和生命科学领域,这些联络中心可实现保密通讯、实现远距病患接触点、遵守医疗法规、简化临床业务并改善提供医疗照护的基本要素。市场动态促使这些中心优化与供应链的互动,保持与客户和供应商的联繫,保持全球业务敏捷性,并确保对市场动态做出快速回应。在媒体和娱乐领域,我们使用分析来了解消费者趋势,并利用云端基础的客服中心来实现受众参与、事件回应和持续支援。此外,云端基础的客服中心在提供可靠的技术支援和服务管理方面发挥着至关重要的作用。这些技术适应高科技进步,与多种通讯管道集成,并提供强大的服务等级协定 (SLA),以确保客户满意度并在竞争激烈的行业中客户维繫。
区域洞察
美洲,特别是美国和加拿大,处于采用云端基础的客服中心解决方案的前沿。在美国,强大的技术基础设施和市场竞争正在推动公司寻求创新的客户服务解决方案。对改善客户经验以及将人工智慧与云端基础的平台整合以实现个人化互动的高度重视正在推动该地区对云端基础的客服中心的需求。欧盟 (EU) 国家展现了对资料保护和隐私的坚定承诺,影响了客户对云端基础的客服中心的购买行为。随着一般资料保护规范 (GDPR) 的采用,欧盟客户越来越意识到自己的权利,云端服务供应商面临确保合规性和安全资料处理的压力。同时,中东国家正经历快速的数位转型,云端基础的技术日益普及。亚太地区是多元化的,其中中国、日本和印度等国家是主要参与者,每个国家都有独特的消费者需求和购买行为。中国正积极投资云端技术,拥有众多与云端处理和人工智慧相关的专利。同时,日本的客户服务文化非常细緻,推动了对复杂的云端基础的客服中心的需求。印度正在经历一场数位革命,云端服务迅速普及,尤其是在中小企业中。
FPNV定位矩阵
FPNV定位矩阵对于评估云端基础的客服中心市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一个综合工具,可以对基于云端基础的客服中心市场供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4. 竞争评估和情报:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况和製造能力进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1.云端基础客服中心市场规模及预测是多少?
2.在基于云端基础的客服中心市场的预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3.云端基础客服中心市场的技术趋势和法规结构是什么?
4.云端基础客服中心市场主要厂商的市场占有率如何?
5. 进入云端基础客服中心市场的合适型态和策略手段是什么?
[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?