Cloud-Based Contact Center Market by Deployment Type (Hybrid Cloud, Private Cloud, Public Cloud), Component Type (Services, Solutions), Channel Type, Application, End User Industry - Global Forecast 2025-2032
Description
The Cloud-Based Contact Center Market was valued at USD 21.04 billion in 2024 and is projected to grow to USD 24.87 billion in 2025, with a CAGR of 18.49%, reaching USD 81.82 billion by 2032.
A comprehensive introduction framing cloud contact center modernization as a strategic priority that aligns technology, people, and processes for competitive advantage
The cloud-based contact center has emerged as a strategic linchpin for organizations seeking to modernize customer engagement, optimize operations, and harness new sources of competitive differentiation. Enterprises and service providers are moving beyond tactical cloud pilots to architect capabilities that embed automation, analytics, and omnichannel routing into the customer journey. This shift reframes contact centers as a convergence point for customer experience, employee productivity, and operational resilience, demanding new governance models, security practices, and vendor partnerships.
As organizations evaluate migration pathways, many find that cloud-native architectures enable faster feature adoption and more granular operational control than traditional on-premises stacks. At the same time, integration complexity remains a defining challenge, particularly where legacy voice platforms, CRM systems, and workforce management tools must interoperate. Consequently, decision-makers are prioritizing modular solutions that balance rapid innovation with predictable lifecycle management. This introductory analysis establishes a foundation for exploring transformational forces, regulatory and trade considerations, segmentation dynamics, regional differentiators, and practical recommendations that drive successful cloud contact center journeys.
An assessment of the major technological, operational, and ecosystem shifts reshaping how enterprises design and operate cloud-based customer engagement platforms
The landscape for cloud-based contact centers is being reconfigured by a series of transformative shifts that are simultaneously technological, organizational, and regulatory. Artificial intelligence, particularly generative and conversational models, has accelerated the automation of routine interactions and elevated agent assistance, reshaping workforce roles and driving demand for real-time analytics. At the same time, omnichannel expectations continue to evolve; customers now demand smooth transitions between chat, email, SMS, social media, and voice, requiring platforms to provide unified context and persistent conversation state across channels.
Operationally, the rise of hybrid deployment patterns reflects a pragmatic response to latency, regulatory data residency requirements, and legacy investments. Security and privacy concerns are prompting firms to adopt stronger encryption, distributed key management, and rigorous vendor controls. Ecosystem dynamics are also shifting: partnerships between platform providers, systems integrators, and vertical specialists are becoming essential as buyers seek end-to-end delivery and industry-specific preconfiguration. Finally, cost optimization and scalability pressures are fostering greater adoption of consumption-based pricing and modular service bundles, enabling organizations to align spend with actual usage while accelerating innovation cycles.
How tariff adjustments and trade policy shifts are altering procurement, sourcing, and deployment strategies for cloud-enabled contact center infrastructure and services
Tariff changes and trade policy adjustments have a tangible effect on the economics and supply chains that underpin cloud-based contact center deployments. Recent tariff measures affecting imported hardware, telecommunications equipment, and select software components increase the cost of physical appliances and on-premises gateways, prompting many organizations to reassess total cost of ownership and accelerate migration to cloud-hosted services. These shifts also create volatility in procurement timelines as vendors adjust sourcing strategies and logistics partners reprioritize shipments to mitigate duty impacts.
In response, solution providers and integrators are leaning into software-defined approaches that reduce dependency on specialized hardware, while adopting diversified sourcing and regional manufacturing partnerships to contain margin pressure. Enterprises with large, legacy infrastructures often opt for phased conversions-retaining critical on-premises elements where tariffs or latency constraints make immediate migration impractical-while new implementations favor cloud-native, subscription-based models that minimize capital exposure. Furthermore, rising import costs can lead to vendor price adjustments that are passed through to end users, encouraging deeper contract negotiations and the exploration of alternative delivery models, such as managed services or regional cloud hosting, to preserve budget flexibility and continuity of service.
Deep segmentation insight revealing how deployment models, solution composition, company scale, applications, channels, and industry verticals shape buyer priorities and implementation choices
Insightful segmentation clarifies where demand, risk, and revenue potential concentrate across deployment choices, solution composition, organizational scale, application focus, interaction channels, and end-user industries. Deployment type decisions span hybrid cloud, private cloud, and public cloud options, each presenting unique trade-offs between control, cost predictability, and speed of innovation. Component-level differentiation between services and solutions highlights the critical role of integration and deployment services as well as ongoing support and maintenance offerings in ensuring operational continuity and successful adoption.
Organizational size matters: large enterprises require governance, security and extensive integration while small and medium enterprises, including medium-sized firms with 100 to 999 employees and smaller entities with fewer than 100 employees, often prioritize rapid time-to-value and simplified administration. Application segmentation reveals differing priorities across inbound contact center solutions focused on efficient routing and customer verification, omnichannel contact center solutions that emphasize context unification, and outbound contact center solutions that concentrate on campaign management and compliance. Channel dynamics-spanning chat, email, SMS, social media, and voice-drive solution design, with conversational AI and dynamic routing becoming table stakes for seamless experiences. Finally, industry verticals present distinct requirements: financial services and insurance emphasize compliance and fraud mitigation, government agencies require data residency and auditability, healthcare organizations prioritize privacy and patient-centric workflows, IT and telecom customers demand scalability and service assurance, and retail players seek tight integration between ecommerce platforms and in-store systems to deliver cohesive commerce-driven engagements.
Comparative regional analysis showing how regulatory regimes, infrastructure maturity, and commercial ecosystems influence cloud contact center adoption across global markets
Regional dynamics influence adoption velocity, regulatory constraints, vendor presence, and the architecture patterns that buyers prefer across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, cloud adoption benefits from a mature commercial ecosystem and widespread availability of hyperscale infrastructure, driving fast iterations of advanced analytics and AI-led features. Regulatory scrutiny and diverse national frameworks in Europe, Middle East & Africa require careful handling of data residency, cross-border transfers, and sector-specific compliance, which in turn supports demand for private and hybrid cloud deployments as well as localized managed services.
Asia-Pacific presents a heterogeneous landscape where rapid digital adoption in certain markets coexists with constrained infrastructure or regulatory divergence in others; regional providers often offer differentiated language support, local integrations, and pricing models attuned to market conditions. Across all regions, geopolitical shifts and trade dynamics influence supplier selection and cloud footprint decisions, prompting many buyers to evaluate multi-region redundancy, local cloud partnerships, and edge-enabled architectures to meet latency and regulatory obligations while retaining global continuity and resiliency.
Strategic vendor and partner behaviors that define competitive differentiation through AI integration, services capabilities, and ecosystem expansion in cloud contact center offerings
Leading companies in the cloud contact center ecosystem are pursuing strategies that reflect convergence between platform innovation, channel breadth, and services-led delivery. Many vendors concentrate on embedding advanced AI capabilities across self-service, agent assistance, and analytics, while partner networks extend reach through verticalized solutions and specialist integrations. Strategic acquisitions are common as platform providers seek to fill capability gaps, accelerate cloud-native transformations, and onboard industry-specific expertise that reduces time-to-value for enterprise buyers.
Service and support organizations differentiate through proven migration frameworks, robust professional services portfolios, and outcome-based engagements that reduce implementation risk. Meanwhile, operators and cloud infrastructure providers emphasize high-availability architectures and global presence to address enterprise resilience requirements. Competitive positioning increasingly depends on transparent pricing models, strong developer ecosystems that enable rapid customization, and demonstrable success in integrating with core enterprise systems such as CRM, workforce management, and identity platforms. For buyers, vendor selection hinges on the ability to deliver predictable operational performance, secure data management, and an extensible roadmap that aligns with long-term digital customer engagement objectives.
Actionable recommendations for executives to accelerate cloud contact center initiatives while managing risk, cost, talent, and vendor relationships for sustained value
Industry leaders should prioritize a pragmatic migration strategy that balances speed with control, beginning with low-risk, high-impact use cases such as intelligent routing, agent assist, and channel consolidation to demonstrate value early. Establishing clear governance that includes security standards, data residency policies, and vendor performance SLAs will reduce adoption friction and limit downstream compliance exposure. Additionally, leaders must invest in workforce transformation programs that reskill agents for higher-value tasks, redesigning roles to leverage automation for routine inquiries while elevating human interaction for complex problem solving.
On the procurement side, negotiating flexible commercial models that align fees with usage and business outcomes can mitigate tariff-driven cost variability and supply chain unpredictability. Embracing interoperable architectures and open APIs will preserve optionality and prevent vendor lock-in, while prioritizing observability and real-time analytics will enable continuous optimization. Finally, cultivating partnerships with systems integrators, security specialists, and vertical experts accelerates deployment and reduces integration risk, especially for organizations operating in regulated industries or across multiple jurisdictions.
A transparent and rigorous research methodology combining stakeholder interviews, technical validation, and triangulated secondary research to ensure credible and actionable insights
This analysis synthesizes qualitative and quantitative insights derived from a multi-method research approach that emphasizes primary engagement and rigorous validation. The methodology included structured interviews with senior executives across enterprise buyer segments, technical assessments with solution architects and integrators, and advisory consultations that explored deployment, governance, and operational frameworks. Secondary research complemented primary inputs by mapping publicly available vendor announcements, technology roadmaps, industry standards, and regulatory guidance to ensure contextual accuracy.
Data validation followed a triangulation process, reconciling interview findings with vendor documentation and documented best practices to minimize bias and enhance reliability. Industry-specific use cases were developed through collaborative workshops with practitioners to reflect real-world constraints and success factors. Where appropriate, sensitivity checks and scenario analysis were applied to assess the resilience of strategic recommendations under varying external conditions such as tariff shifts, regulatory updates, and technology disruptions.
Concluding synthesis emphasizing disciplined execution, governance, and people-centric transformation as the foundation for sustainable cloud contact center modernization success
The migration to cloud-based contact centers represents both an operational imperative and a strategic opportunity for organizations seeking to modernize customer engagement and drive measurable outcomes. The confluence of AI advancement, omnichannel expectations, and evolving procurement dynamics requires a balanced approach that aligns technology choices with governance, talent, and commercial models. Organizations that adopt modular architectures, prioritize data security and compliance, and invest in workforce transformation will be positioned to capture outsized benefits from improved customer satisfaction, operational efficiency, and innovation velocity.
Success depends on disciplined execution: begin with focused pilots that address tangible pain points, apply learnings to phased rollouts, and maintain continuous measurement to refine routing, automation, and agent workflows. By integrating vendor partnerships, professional services, and internal capabilities, leaders can build resilient, adaptive contact center platforms that respond to changing customer preferences and regulatory environments while preserving strategic flexibility for future innovation.
Please Note: PDF & Excel + Online Access - 1 Year
A comprehensive introduction framing cloud contact center modernization as a strategic priority that aligns technology, people, and processes for competitive advantage
The cloud-based contact center has emerged as a strategic linchpin for organizations seeking to modernize customer engagement, optimize operations, and harness new sources of competitive differentiation. Enterprises and service providers are moving beyond tactical cloud pilots to architect capabilities that embed automation, analytics, and omnichannel routing into the customer journey. This shift reframes contact centers as a convergence point for customer experience, employee productivity, and operational resilience, demanding new governance models, security practices, and vendor partnerships.
As organizations evaluate migration pathways, many find that cloud-native architectures enable faster feature adoption and more granular operational control than traditional on-premises stacks. At the same time, integration complexity remains a defining challenge, particularly where legacy voice platforms, CRM systems, and workforce management tools must interoperate. Consequently, decision-makers are prioritizing modular solutions that balance rapid innovation with predictable lifecycle management. This introductory analysis establishes a foundation for exploring transformational forces, regulatory and trade considerations, segmentation dynamics, regional differentiators, and practical recommendations that drive successful cloud contact center journeys.
An assessment of the major technological, operational, and ecosystem shifts reshaping how enterprises design and operate cloud-based customer engagement platforms
The landscape for cloud-based contact centers is being reconfigured by a series of transformative shifts that are simultaneously technological, organizational, and regulatory. Artificial intelligence, particularly generative and conversational models, has accelerated the automation of routine interactions and elevated agent assistance, reshaping workforce roles and driving demand for real-time analytics. At the same time, omnichannel expectations continue to evolve; customers now demand smooth transitions between chat, email, SMS, social media, and voice, requiring platforms to provide unified context and persistent conversation state across channels.
Operationally, the rise of hybrid deployment patterns reflects a pragmatic response to latency, regulatory data residency requirements, and legacy investments. Security and privacy concerns are prompting firms to adopt stronger encryption, distributed key management, and rigorous vendor controls. Ecosystem dynamics are also shifting: partnerships between platform providers, systems integrators, and vertical specialists are becoming essential as buyers seek end-to-end delivery and industry-specific preconfiguration. Finally, cost optimization and scalability pressures are fostering greater adoption of consumption-based pricing and modular service bundles, enabling organizations to align spend with actual usage while accelerating innovation cycles.
How tariff adjustments and trade policy shifts are altering procurement, sourcing, and deployment strategies for cloud-enabled contact center infrastructure and services
Tariff changes and trade policy adjustments have a tangible effect on the economics and supply chains that underpin cloud-based contact center deployments. Recent tariff measures affecting imported hardware, telecommunications equipment, and select software components increase the cost of physical appliances and on-premises gateways, prompting many organizations to reassess total cost of ownership and accelerate migration to cloud-hosted services. These shifts also create volatility in procurement timelines as vendors adjust sourcing strategies and logistics partners reprioritize shipments to mitigate duty impacts.
In response, solution providers and integrators are leaning into software-defined approaches that reduce dependency on specialized hardware, while adopting diversified sourcing and regional manufacturing partnerships to contain margin pressure. Enterprises with large, legacy infrastructures often opt for phased conversions-retaining critical on-premises elements where tariffs or latency constraints make immediate migration impractical-while new implementations favor cloud-native, subscription-based models that minimize capital exposure. Furthermore, rising import costs can lead to vendor price adjustments that are passed through to end users, encouraging deeper contract negotiations and the exploration of alternative delivery models, such as managed services or regional cloud hosting, to preserve budget flexibility and continuity of service.
Deep segmentation insight revealing how deployment models, solution composition, company scale, applications, channels, and industry verticals shape buyer priorities and implementation choices
Insightful segmentation clarifies where demand, risk, and revenue potential concentrate across deployment choices, solution composition, organizational scale, application focus, interaction channels, and end-user industries. Deployment type decisions span hybrid cloud, private cloud, and public cloud options, each presenting unique trade-offs between control, cost predictability, and speed of innovation. Component-level differentiation between services and solutions highlights the critical role of integration and deployment services as well as ongoing support and maintenance offerings in ensuring operational continuity and successful adoption.
Organizational size matters: large enterprises require governance, security and extensive integration while small and medium enterprises, including medium-sized firms with 100 to 999 employees and smaller entities with fewer than 100 employees, often prioritize rapid time-to-value and simplified administration. Application segmentation reveals differing priorities across inbound contact center solutions focused on efficient routing and customer verification, omnichannel contact center solutions that emphasize context unification, and outbound contact center solutions that concentrate on campaign management and compliance. Channel dynamics-spanning chat, email, SMS, social media, and voice-drive solution design, with conversational AI and dynamic routing becoming table stakes for seamless experiences. Finally, industry verticals present distinct requirements: financial services and insurance emphasize compliance and fraud mitigation, government agencies require data residency and auditability, healthcare organizations prioritize privacy and patient-centric workflows, IT and telecom customers demand scalability and service assurance, and retail players seek tight integration between ecommerce platforms and in-store systems to deliver cohesive commerce-driven engagements.
Comparative regional analysis showing how regulatory regimes, infrastructure maturity, and commercial ecosystems influence cloud contact center adoption across global markets
Regional dynamics influence adoption velocity, regulatory constraints, vendor presence, and the architecture patterns that buyers prefer across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, cloud adoption benefits from a mature commercial ecosystem and widespread availability of hyperscale infrastructure, driving fast iterations of advanced analytics and AI-led features. Regulatory scrutiny and diverse national frameworks in Europe, Middle East & Africa require careful handling of data residency, cross-border transfers, and sector-specific compliance, which in turn supports demand for private and hybrid cloud deployments as well as localized managed services.
Asia-Pacific presents a heterogeneous landscape where rapid digital adoption in certain markets coexists with constrained infrastructure or regulatory divergence in others; regional providers often offer differentiated language support, local integrations, and pricing models attuned to market conditions. Across all regions, geopolitical shifts and trade dynamics influence supplier selection and cloud footprint decisions, prompting many buyers to evaluate multi-region redundancy, local cloud partnerships, and edge-enabled architectures to meet latency and regulatory obligations while retaining global continuity and resiliency.
Strategic vendor and partner behaviors that define competitive differentiation through AI integration, services capabilities, and ecosystem expansion in cloud contact center offerings
Leading companies in the cloud contact center ecosystem are pursuing strategies that reflect convergence between platform innovation, channel breadth, and services-led delivery. Many vendors concentrate on embedding advanced AI capabilities across self-service, agent assistance, and analytics, while partner networks extend reach through verticalized solutions and specialist integrations. Strategic acquisitions are common as platform providers seek to fill capability gaps, accelerate cloud-native transformations, and onboard industry-specific expertise that reduces time-to-value for enterprise buyers.
Service and support organizations differentiate through proven migration frameworks, robust professional services portfolios, and outcome-based engagements that reduce implementation risk. Meanwhile, operators and cloud infrastructure providers emphasize high-availability architectures and global presence to address enterprise resilience requirements. Competitive positioning increasingly depends on transparent pricing models, strong developer ecosystems that enable rapid customization, and demonstrable success in integrating with core enterprise systems such as CRM, workforce management, and identity platforms. For buyers, vendor selection hinges on the ability to deliver predictable operational performance, secure data management, and an extensible roadmap that aligns with long-term digital customer engagement objectives.
Actionable recommendations for executives to accelerate cloud contact center initiatives while managing risk, cost, talent, and vendor relationships for sustained value
Industry leaders should prioritize a pragmatic migration strategy that balances speed with control, beginning with low-risk, high-impact use cases such as intelligent routing, agent assist, and channel consolidation to demonstrate value early. Establishing clear governance that includes security standards, data residency policies, and vendor performance SLAs will reduce adoption friction and limit downstream compliance exposure. Additionally, leaders must invest in workforce transformation programs that reskill agents for higher-value tasks, redesigning roles to leverage automation for routine inquiries while elevating human interaction for complex problem solving.
On the procurement side, negotiating flexible commercial models that align fees with usage and business outcomes can mitigate tariff-driven cost variability and supply chain unpredictability. Embracing interoperable architectures and open APIs will preserve optionality and prevent vendor lock-in, while prioritizing observability and real-time analytics will enable continuous optimization. Finally, cultivating partnerships with systems integrators, security specialists, and vertical experts accelerates deployment and reduces integration risk, especially for organizations operating in regulated industries or across multiple jurisdictions.
A transparent and rigorous research methodology combining stakeholder interviews, technical validation, and triangulated secondary research to ensure credible and actionable insights
This analysis synthesizes qualitative and quantitative insights derived from a multi-method research approach that emphasizes primary engagement and rigorous validation. The methodology included structured interviews with senior executives across enterprise buyer segments, technical assessments with solution architects and integrators, and advisory consultations that explored deployment, governance, and operational frameworks. Secondary research complemented primary inputs by mapping publicly available vendor announcements, technology roadmaps, industry standards, and regulatory guidance to ensure contextual accuracy.
Data validation followed a triangulation process, reconciling interview findings with vendor documentation and documented best practices to minimize bias and enhance reliability. Industry-specific use cases were developed through collaborative workshops with practitioners to reflect real-world constraints and success factors. Where appropriate, sensitivity checks and scenario analysis were applied to assess the resilience of strategic recommendations under varying external conditions such as tariff shifts, regulatory updates, and technology disruptions.
Concluding synthesis emphasizing disciplined execution, governance, and people-centric transformation as the foundation for sustainable cloud contact center modernization success
The migration to cloud-based contact centers represents both an operational imperative and a strategic opportunity for organizations seeking to modernize customer engagement and drive measurable outcomes. The confluence of AI advancement, omnichannel expectations, and evolving procurement dynamics requires a balanced approach that aligns technology choices with governance, talent, and commercial models. Organizations that adopt modular architectures, prioritize data security and compliance, and invest in workforce transformation will be positioned to capture outsized benefits from improved customer satisfaction, operational efficiency, and innovation velocity.
Success depends on disciplined execution: begin with focused pilots that address tangible pain points, apply learnings to phased rollouts, and maintain continuous measurement to refine routing, automation, and agent workflows. By integrating vendor partnerships, professional services, and internal capabilities, leaders can build resilient, adaptive contact center platforms that respond to changing customer preferences and regulatory environments while preserving strategic flexibility for future innovation.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
183 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of AI-driven conversational virtual agents for personalized self-service experiences
- 5.2. Implementation of omnichannel customer journey orchestration across voice chat email and social messaging
- 5.3. Integration of predictive analytics and workforce management for real-time agent scheduling and forecasting
- 5.4. Deployment of voice biometric authentication and fraud prevention in cloud contact center environments
- 5.5. Utilization of sentiment analysis and emotion detection to prioritize inbound customer interactions dynamically
- 5.6. Expansion of CPaaS integrations enabling low-code customization of messaging voice and video channels
- 5.7. Adoption of edge computing and 5G connectivity to reduce latency in distributed contact center operations
- 5.8. Focus on data sovereignty and regional cloud compliance frameworks for secure cross-border customer data handling
- 5.9. Shift toward proactive outbound engagement strategies powered by predictive customer behavior models
- 5.10. Emphasis on environmental sustainability through green data centers and energy-efficient cloud contact services
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Cloud-Based Contact Center Market, by Deployment Type
- 8.1. Hybrid Cloud
- 8.2. Private Cloud
- 8.3. Public Cloud
- 9. Cloud-Based Contact Center Market, by Component Type
- 9.1. Services
- 9.1.1. Integration & Deployment Services
- 9.1.2. Support & Maintenance Services
- 9.2. Solutions
- 10. Cloud-Based Contact Center Market, by Channel Type
- 10.1. Chat
- 10.2. Email
- 10.3. SMS
- 10.4. Social Media
- 10.5. Voice
- 11. Cloud-Based Contact Center Market, by Application
- 11.1. Inbound Contact Center Solutions
- 11.2. Omnichannel Contact Center Solutions
- 11.3. Outbound Contact Center Solutions
- 12. Cloud-Based Contact Center Market, by End User Industry
- 12.1. BFSI
- 12.1.1. Banking
- 12.1.2. Financial Services
- 12.1.3. Insurance
- 12.2. Government
- 12.2.1. Federal
- 12.2.2. State And Local
- 12.3. Healthcare
- 12.3.1. Hospitals And Clinics
- 12.3.2. Payers
- 12.3.3. Pharmaceuticals
- 12.4. IT And Telecom
- 12.4.1. IT Services
- 12.4.2. Telecom Operators
- 12.5. Retail
- 12.5.1. Ecommerce
- 12.5.2. InStore Retail
- 13. Cloud-Based Contact Center Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Cloud-Based Contact Center Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Cloud-Based Contact Center Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. 8x8, Inc.
- 16.3.2. Alvaria
- 16.3.3. Amazon Web Services, Inc.
- 16.3.4. Avaya Holdings Corp.
- 16.3.5. Cisco Systems, Inc.
- 16.3.6. Content Guru
- 16.3.7. Dialpad
- 16.3.8. Five9, Inc.
- 16.3.9. Genesys Telecommunications Laboratories, Inc.
- 16.3.10. Google LLC
- 16.3.11. NICE Ltd.
- 16.3.12. RingCentral, Inc.
- 16.3.13. Talkdesk, Inc.
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