Patient Experience Technology Market by Technology Type (Hardware, Software), Deployment Model (Cloud, On-Premises), Application, End User - Global Forecast 2026-2032
Description
The Patient Experience Technology Market was valued at USD 31.53 billion in 2025 and is projected to grow to USD 35.87 billion in 2026, with a CAGR of 14.00%, reaching USD 78.93 billion by 2032.
A comprehensive introduction to how patient experience technologies are reshaping care pathways, operational workflows, and patient expectations across clinical settings
Patient experience technology is no longer an optional enhancement; it is an operating imperative that shapes clinical pathways, revenue cycle interactions, and patient satisfaction across care settings. Advances in digital front-door capabilities, remote monitoring, and integrated communication tools are converging with evolving patient expectations for convenience, transparency, and personalization. As a result, healthcare leaders must evaluate how technology investments intersect with clinical workflows, interoperability constraints, and regulatory obligations to deliver measurable improvements in experience and outcomes.
Across provider types, there is a growing emphasis on reducing friction at every touchpoint-from appointment scheduling to post-discharge follow-up-while ensuring data integrity and clinician usability. Vendors are responding with modular solutions spanning hardware like kiosks and monitoring devices, and software that addresses both clinical and nonclinical needs. Moreover, the shift toward value-based care and performance-based contracts increases scrutiny on evidence and outcomes, compelling organizations to adopt solutions that integrate with electronic health records and deliver actionable analytics. In the coming horizon, successful deployments will be those that harmonize patient-centered design with operational resilience and compliance-ready architectures.
An overview of the major technological, regulatory, and business-model shifts that are redefining patient experience platforms and provider adoption choices
The landscape of patient experience technology is being reshaped by a set of transformative forces that are simultaneously technological, regulatory, and cultural. Artificial intelligence and predictive analytics are enabling more personalized interactions and proactive care interventions, while telehealth and video communication have matured from emergency use cases to core components of care delivery. Interoperability standards and APIs are lowering the friction for integrations, allowing clinical software and nonclinical platforms to exchange data more reliably and support cohesive patient journeys.
At the same time, hardware advances-such as more sophisticated patient monitoring devices and self-service kiosks-are expanding the points of capture for clinical and experience data. Cloud-native deployment models are accelerating innovation cycles and enabling rapid feature rollouts, though hybrid and on-premises architectures remain important where latency, control, or regulatory constraints exist. Vendor business models are also evolving: subscription and outcome-linked arrangements are becoming more common, and strategic partnerships between device manufacturers and software providers are blurring traditional product boundaries. Together, these shifts are creating an environment in which agility, data governance, and experience design determine which implementations deliver sustained value.
How recent tariff developments in the United States are influencing procurement strategies, supply chain resilience, and pricing dynamics for patient experience hardware and solutions
Recent policy moves and tariff adjustments in the United States have introduced new variables into procurement and supply chain strategies for patient experience technology suppliers and buyers alike. Incremental tariff pressures on imported hardware components can increase landed costs for kiosks and monitoring devices and create margin pressure for suppliers that have historically relied on globally distributed manufacturing. These changes can also amplify lead times and prompt health systems to reassess inventory buffers, warranties, and service-level agreements to maintain continuity of care.
Consequently, buyers are weighing trade-offs between short-term cost increases and the longer-term benefits of resilient sourcing. Some organizations accelerate supplier diversification, nearshoring, or strategic stockpiling of critical hardware to mitigate disruption. Others renegotiate contracts to include tariff pass-through clauses or seek bundled offerings that shift more services to software-centric, cloud-hosted models where hardware exposure is reduced. In practice, these adjustments require collaboration across procurement, clinical engineering, and IT to preserve interoperability and uptime. Vendors that proactively communicate supply chain strategies and offer flexible fulfillment options tend to build stronger procurement relationships during periods of tariff volatility.
Actionable segmentation insights that map technology types, deployment preferences, applications, and end-user priorities to purchasing behavior and implementation requirements
Segmentation analysis reveals distinct adoption patterns and requirements across technology type, deployment model, application, and end user that inform go-to-market and product design decisions. When considering technology type, hardware solutions such as kiosks and patient monitoring devices require robust device management, firmware security, and service frameworks, whereas software offerings split into clinical and nonclinical capabilities demand tight integration with clinical workflows and compliance with clinical documentation standards. These dual tracks create different technology debt and support models for customers.
Deployment model preferences-cloud or on-premises-continue to vary by organization size, regulatory constraints, and integration complexity. Cloud deployments enable rapid updates, scalability, and analytics delivery, yet on-premises installations remain relevant for facilities with strict data locality rules or limited connectivity. Application-level segmentation further refines buyer needs: analytics, which can be descriptive or predictive, require mature data pipelines and governance to produce actionable insights; appointment scheduling spans automated and manual approaches and must balance patient convenience with resource optimization; communication tools include messaging and video, each with distinct privacy and latency implications; feedback management combines feedback forms and survey tools to measure experience, and patient engagement encompasses communication tools and patient portals that centralize the patient relationship.
Finally, end-user segmentation across ambulatory surgical centers, clinics, and hospitals highlights divergent priorities. Ambulatory surgical centers emphasize streamlined check-in and efficient throughput, clinics often prioritize appointment scheduling and patient communication to reduce no-shows, and hospitals focus on integrated monitoring, complex care coordination, and enterprise-wide analytics. Understanding these layers of segmentation enables tailored product roadmaps, implementation playbooks, and service bundles that align with the operational realities of each buyer profile.
Regional adoption patterns and implementation approaches that reveal differentiated priorities across the Americas, Europe Middle East & Africa, and Asia-Pacific health systems and providers
Regional dynamics shape both the adoption pace and the implementation approach for patient experience technologies across the Americas, Europe, Middle East & Africa, and the Asia-Pacific. In the Americas, providers are often driven by consumer expectations and reimbursement models that support telehealth and remote engagement, encouraging rapid uptake of cloud-based patient engagement platforms and integrated communication tools. The U.S. environment in particular values vendor partnerships that can demonstrate ROI through operational efficiency and experience metrics, while Canada and Latin America present differentiated regulatory and funding landscapes that influence deployment choices.
Europe, Middle East & Africa presents a varied landscape where national health systems, regional regulation, and data protection regimes such as GDPR influence architecture and vendor selection. Interoperability initiatives and public-private partnerships in parts of Europe encourage standardized integrations, yet heterogeneity in procurement processes necessitates adaptable commercial models. In the Asia-Pacific, mobile-first behavior, government-led digital health initiatives, and robust manufacturing ecosystems create both demand and supply advantages. Rapid adoption of messaging, patient portals, and remote monitoring is common in urban centers, while rural access and infrastructure gaps remain key implementation considerations. Across regions, vendors succeed by aligning to local compliance requirements, offering flexible deployment models, and supporting multilingual, culturally sensitive user experiences.
Competitive and partner landscape observations revealing how incumbents, specialists, and strategic alliances influence adoption and procurement decisions
Competitive dynamics in the patient experience technology space are characterized by a blend of incumbent platform providers, specialized niche vendors, and a steady stream of innovative start-ups. Established players leverage broad integration footprints and enterprise contracts to serve large health systems, while smaller vendors differentiate through focused solutions-such as advanced analytics modules or optimized appointment scheduling workflows-that solve specific pain points. Strategic partnerships are increasingly common; device manufacturers partner with software firms to deliver end-to-end solutions that simplify procurement and service agreements for providers.
Mergers and acquisitions continue to shape the landscape as companies seek to consolidate capabilities, accelerate time-to-market, and broaden customer bases. Evidence generation, such as peer-reviewed studies and real-world outcomes data, is becoming a more important part of the sales cycle, particularly for clinical-facing software. At the same time, service models that combine implementation, change management, and ongoing performance measurement are differentiators in procurement decisions. Vendors that invest in interoperability, offer clear total-cost-of-ownership narratives, and demonstrate proven uptime and support structures are better positioned to win long-term enterprise relationships.
Actionable strategic recommendations for leaders to accelerate adoption, ensure resilience, and align patient experience initiatives with measurable clinical and operational goals
Industry leaders should pursue a pragmatic, phased approach that balances near-term wins with long-term resilience. Start by prioritizing interoperability and data governance so that new investments can integrate with electronic health records and analytics platforms; this reduces technical debt and accelerates cross-channel insights. Simultaneously, adopt hybrid deployment strategies that allow cloud-native innovation while preserving on-premises options where regulatory or connectivity constraints require them. This dual-path approach allows organizations to pilot rapidly and scale securely.
Supply chain diversification is another priority. By evaluating alternative suppliers, nearshoring options, and flexible fulfillment agreements, organizations can reduce exposure to tariff-driven cost fluctuations and tighten service continuity. Equally important is focusing on human factors: invest in user-centered design, clinician workflow integration, and staff training to ensure adoption and to reduce change-management friction. Finally, tie technology investments to measurable operational outcomes-through pilot metrics, phased rollouts, and continuous feedback loops-so that clinical, financial, and experience objectives are aligned and transparent to stakeholders.
An explanation of the rigorous mixed-methods research approach, data triangulation steps, and validation processes that underpin the findings and practical guidance
This research relies on a mixed-methods approach that synthesizes qualitative interviews, secondary literature review, vendor documentation analysis, and cross-validation with industry practitioners to ensure robustness and relevance. Primary inputs include structured conversations with health system executives, procurement leaders, clinical informaticists, and solution architects to capture real-world implementation challenges and success factors. Secondary research integrates policy documents, standards specifications, and company disclosures to contextualize trends and validate vendor claims.
Data were triangulated using multiple sources and analyzed through thematic coding and comparative matrices to surface patterns across segmentation and regions. Limitations include variability in procurement cycles and the proprietary nature of some implementation outcomes, which means some operational performance metrics are contextual rather than universally generalizable. To mitigate this, the methodology emphasizes transparency in assumptions and provides scenario-based interpretations to help stakeholders adapt insights to their specific risk profiles and operational constraints.
A concise conclusion that synthesizes strategic imperatives, operational prerequisites, and the organizational alignment necessary to realize value from patient experience technology
In sum, patient experience technology is a strategic lever for improving care delivery, patient satisfaction, and operational efficiency when implemented with attention to interoperability, user experience, and supply chain resilience. Technological advances such as AI-driven analytics, mature telehealth tools, and more capable monitoring devices expand what is possible, but success depends on thoughtful integration with clinical workflows and robust governance. Providers that pair pilot-driven experimentation with scalable architecture and procurement agility will be best positioned to extract value from these capabilities.
Looking forward, the organizations that combine strong partnerships, evidence-based value propositions, and flexible deployment options will lead adoption and deliver consistent experience improvements. The path to achieving these outcomes requires cross-functional alignment among IT, clinical leadership, procurement, and operations to ensure investments are sustainable, secure, and aligned with patient needs and regulatory expectations. With disciplined execution, patient experience technology can move from isolated implementations to transformative, system-wide improvements.
Note: PDF & Excel + Online Access - 1 Year
A comprehensive introduction to how patient experience technologies are reshaping care pathways, operational workflows, and patient expectations across clinical settings
Patient experience technology is no longer an optional enhancement; it is an operating imperative that shapes clinical pathways, revenue cycle interactions, and patient satisfaction across care settings. Advances in digital front-door capabilities, remote monitoring, and integrated communication tools are converging with evolving patient expectations for convenience, transparency, and personalization. As a result, healthcare leaders must evaluate how technology investments intersect with clinical workflows, interoperability constraints, and regulatory obligations to deliver measurable improvements in experience and outcomes.
Across provider types, there is a growing emphasis on reducing friction at every touchpoint-from appointment scheduling to post-discharge follow-up-while ensuring data integrity and clinician usability. Vendors are responding with modular solutions spanning hardware like kiosks and monitoring devices, and software that addresses both clinical and nonclinical needs. Moreover, the shift toward value-based care and performance-based contracts increases scrutiny on evidence and outcomes, compelling organizations to adopt solutions that integrate with electronic health records and deliver actionable analytics. In the coming horizon, successful deployments will be those that harmonize patient-centered design with operational resilience and compliance-ready architectures.
An overview of the major technological, regulatory, and business-model shifts that are redefining patient experience platforms and provider adoption choices
The landscape of patient experience technology is being reshaped by a set of transformative forces that are simultaneously technological, regulatory, and cultural. Artificial intelligence and predictive analytics are enabling more personalized interactions and proactive care interventions, while telehealth and video communication have matured from emergency use cases to core components of care delivery. Interoperability standards and APIs are lowering the friction for integrations, allowing clinical software and nonclinical platforms to exchange data more reliably and support cohesive patient journeys.
At the same time, hardware advances-such as more sophisticated patient monitoring devices and self-service kiosks-are expanding the points of capture for clinical and experience data. Cloud-native deployment models are accelerating innovation cycles and enabling rapid feature rollouts, though hybrid and on-premises architectures remain important where latency, control, or regulatory constraints exist. Vendor business models are also evolving: subscription and outcome-linked arrangements are becoming more common, and strategic partnerships between device manufacturers and software providers are blurring traditional product boundaries. Together, these shifts are creating an environment in which agility, data governance, and experience design determine which implementations deliver sustained value.
How recent tariff developments in the United States are influencing procurement strategies, supply chain resilience, and pricing dynamics for patient experience hardware and solutions
Recent policy moves and tariff adjustments in the United States have introduced new variables into procurement and supply chain strategies for patient experience technology suppliers and buyers alike. Incremental tariff pressures on imported hardware components can increase landed costs for kiosks and monitoring devices and create margin pressure for suppliers that have historically relied on globally distributed manufacturing. These changes can also amplify lead times and prompt health systems to reassess inventory buffers, warranties, and service-level agreements to maintain continuity of care.
Consequently, buyers are weighing trade-offs between short-term cost increases and the longer-term benefits of resilient sourcing. Some organizations accelerate supplier diversification, nearshoring, or strategic stockpiling of critical hardware to mitigate disruption. Others renegotiate contracts to include tariff pass-through clauses or seek bundled offerings that shift more services to software-centric, cloud-hosted models where hardware exposure is reduced. In practice, these adjustments require collaboration across procurement, clinical engineering, and IT to preserve interoperability and uptime. Vendors that proactively communicate supply chain strategies and offer flexible fulfillment options tend to build stronger procurement relationships during periods of tariff volatility.
Actionable segmentation insights that map technology types, deployment preferences, applications, and end-user priorities to purchasing behavior and implementation requirements
Segmentation analysis reveals distinct adoption patterns and requirements across technology type, deployment model, application, and end user that inform go-to-market and product design decisions. When considering technology type, hardware solutions such as kiosks and patient monitoring devices require robust device management, firmware security, and service frameworks, whereas software offerings split into clinical and nonclinical capabilities demand tight integration with clinical workflows and compliance with clinical documentation standards. These dual tracks create different technology debt and support models for customers.
Deployment model preferences-cloud or on-premises-continue to vary by organization size, regulatory constraints, and integration complexity. Cloud deployments enable rapid updates, scalability, and analytics delivery, yet on-premises installations remain relevant for facilities with strict data locality rules or limited connectivity. Application-level segmentation further refines buyer needs: analytics, which can be descriptive or predictive, require mature data pipelines and governance to produce actionable insights; appointment scheduling spans automated and manual approaches and must balance patient convenience with resource optimization; communication tools include messaging and video, each with distinct privacy and latency implications; feedback management combines feedback forms and survey tools to measure experience, and patient engagement encompasses communication tools and patient portals that centralize the patient relationship.
Finally, end-user segmentation across ambulatory surgical centers, clinics, and hospitals highlights divergent priorities. Ambulatory surgical centers emphasize streamlined check-in and efficient throughput, clinics often prioritize appointment scheduling and patient communication to reduce no-shows, and hospitals focus on integrated monitoring, complex care coordination, and enterprise-wide analytics. Understanding these layers of segmentation enables tailored product roadmaps, implementation playbooks, and service bundles that align with the operational realities of each buyer profile.
Regional adoption patterns and implementation approaches that reveal differentiated priorities across the Americas, Europe Middle East & Africa, and Asia-Pacific health systems and providers
Regional dynamics shape both the adoption pace and the implementation approach for patient experience technologies across the Americas, Europe, Middle East & Africa, and the Asia-Pacific. In the Americas, providers are often driven by consumer expectations and reimbursement models that support telehealth and remote engagement, encouraging rapid uptake of cloud-based patient engagement platforms and integrated communication tools. The U.S. environment in particular values vendor partnerships that can demonstrate ROI through operational efficiency and experience metrics, while Canada and Latin America present differentiated regulatory and funding landscapes that influence deployment choices.
Europe, Middle East & Africa presents a varied landscape where national health systems, regional regulation, and data protection regimes such as GDPR influence architecture and vendor selection. Interoperability initiatives and public-private partnerships in parts of Europe encourage standardized integrations, yet heterogeneity in procurement processes necessitates adaptable commercial models. In the Asia-Pacific, mobile-first behavior, government-led digital health initiatives, and robust manufacturing ecosystems create both demand and supply advantages. Rapid adoption of messaging, patient portals, and remote monitoring is common in urban centers, while rural access and infrastructure gaps remain key implementation considerations. Across regions, vendors succeed by aligning to local compliance requirements, offering flexible deployment models, and supporting multilingual, culturally sensitive user experiences.
Competitive and partner landscape observations revealing how incumbents, specialists, and strategic alliances influence adoption and procurement decisions
Competitive dynamics in the patient experience technology space are characterized by a blend of incumbent platform providers, specialized niche vendors, and a steady stream of innovative start-ups. Established players leverage broad integration footprints and enterprise contracts to serve large health systems, while smaller vendors differentiate through focused solutions-such as advanced analytics modules or optimized appointment scheduling workflows-that solve specific pain points. Strategic partnerships are increasingly common; device manufacturers partner with software firms to deliver end-to-end solutions that simplify procurement and service agreements for providers.
Mergers and acquisitions continue to shape the landscape as companies seek to consolidate capabilities, accelerate time-to-market, and broaden customer bases. Evidence generation, such as peer-reviewed studies and real-world outcomes data, is becoming a more important part of the sales cycle, particularly for clinical-facing software. At the same time, service models that combine implementation, change management, and ongoing performance measurement are differentiators in procurement decisions. Vendors that invest in interoperability, offer clear total-cost-of-ownership narratives, and demonstrate proven uptime and support structures are better positioned to win long-term enterprise relationships.
Actionable strategic recommendations for leaders to accelerate adoption, ensure resilience, and align patient experience initiatives with measurable clinical and operational goals
Industry leaders should pursue a pragmatic, phased approach that balances near-term wins with long-term resilience. Start by prioritizing interoperability and data governance so that new investments can integrate with electronic health records and analytics platforms; this reduces technical debt and accelerates cross-channel insights. Simultaneously, adopt hybrid deployment strategies that allow cloud-native innovation while preserving on-premises options where regulatory or connectivity constraints require them. This dual-path approach allows organizations to pilot rapidly and scale securely.
Supply chain diversification is another priority. By evaluating alternative suppliers, nearshoring options, and flexible fulfillment agreements, organizations can reduce exposure to tariff-driven cost fluctuations and tighten service continuity. Equally important is focusing on human factors: invest in user-centered design, clinician workflow integration, and staff training to ensure adoption and to reduce change-management friction. Finally, tie technology investments to measurable operational outcomes-through pilot metrics, phased rollouts, and continuous feedback loops-so that clinical, financial, and experience objectives are aligned and transparent to stakeholders.
An explanation of the rigorous mixed-methods research approach, data triangulation steps, and validation processes that underpin the findings and practical guidance
This research relies on a mixed-methods approach that synthesizes qualitative interviews, secondary literature review, vendor documentation analysis, and cross-validation with industry practitioners to ensure robustness and relevance. Primary inputs include structured conversations with health system executives, procurement leaders, clinical informaticists, and solution architects to capture real-world implementation challenges and success factors. Secondary research integrates policy documents, standards specifications, and company disclosures to contextualize trends and validate vendor claims.
Data were triangulated using multiple sources and analyzed through thematic coding and comparative matrices to surface patterns across segmentation and regions. Limitations include variability in procurement cycles and the proprietary nature of some implementation outcomes, which means some operational performance metrics are contextual rather than universally generalizable. To mitigate this, the methodology emphasizes transparency in assumptions and provides scenario-based interpretations to help stakeholders adapt insights to their specific risk profiles and operational constraints.
A concise conclusion that synthesizes strategic imperatives, operational prerequisites, and the organizational alignment necessary to realize value from patient experience technology
In sum, patient experience technology is a strategic lever for improving care delivery, patient satisfaction, and operational efficiency when implemented with attention to interoperability, user experience, and supply chain resilience. Technological advances such as AI-driven analytics, mature telehealth tools, and more capable monitoring devices expand what is possible, but success depends on thoughtful integration with clinical workflows and robust governance. Providers that pair pilot-driven experimentation with scalable architecture and procurement agility will be best positioned to extract value from these capabilities.
Looking forward, the organizations that combine strong partnerships, evidence-based value propositions, and flexible deployment options will lead adoption and deliver consistent experience improvements. The path to achieving these outcomes requires cross-functional alignment among IT, clinical leadership, procurement, and operations to ensure investments are sustainable, secure, and aligned with patient needs and regulatory expectations. With disciplined execution, patient experience technology can move from isolated implementations to transformative, system-wide improvements.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
193 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Definition
- 1.3. Market Segmentation & Coverage
- 1.4. Years Considered for the Study
- 1.5. Currency Considered for the Study
- 1.6. Language Considered for the Study
- 1.7. Key Stakeholders
- 2. Research Methodology
- 2.1. Introduction
- 2.2. Research Design
- 2.2.1. Primary Research
- 2.2.2. Secondary Research
- 2.3. Research Framework
- 2.3.1. Qualitative Analysis
- 2.3.2. Quantitative Analysis
- 2.4. Market Size Estimation
- 2.4.1. Top-Down Approach
- 2.4.2. Bottom-Up Approach
- 2.5. Data Triangulation
- 2.6. Research Outcomes
- 2.7. Research Assumptions
- 2.8. Research Limitations
- 3. Executive Summary
- 3.1. Introduction
- 3.2. CXO Perspective
- 3.3. Market Size & Growth Trends
- 3.4. Market Share Analysis, 2025
- 3.5. FPNV Positioning Matrix, 2025
- 3.6. New Revenue Opportunities
- 3.7. Next-Generation Business Models
- 3.8. Industry Roadmap
- 4. Market Overview
- 4.1. Introduction
- 4.2. Industry Ecosystem & Value Chain Analysis
- 4.2.1. Supply-Side Analysis
- 4.2.2. Demand-Side Analysis
- 4.2.3. Stakeholder Analysis
- 4.3. Porter’s Five Forces Analysis
- 4.4. PESTLE Analysis
- 4.5. Market Outlook
- 4.5.1. Near-Term Market Outlook (0–2 Years)
- 4.5.2. Medium-Term Market Outlook (3–5 Years)
- 4.5.3. Long-Term Market Outlook (5–10 Years)
- 4.6. Go-to-Market Strategy
- 5. Market Insights
- 5.1. Consumer Insights & End-User Perspective
- 5.2. Consumer Experience Benchmarking
- 5.3. Opportunity Mapping
- 5.4. Distribution Channel Analysis
- 5.5. Pricing Trend Analysis
- 5.6. Regulatory Compliance & Standards Framework
- 5.7. ESG & Sustainability Analysis
- 5.8. Disruption & Risk Scenarios
- 5.9. Return on Investment & Cost-Benefit Analysis
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Patient Experience Technology Market, by Technology Type
- 8.1. Hardware
- 8.1.1. Kiosks
- 8.1.2. Patient Monitoring Devices
- 8.2. Software
- 8.2.1. Clinical Software
- 8.2.2. Nonclinical Software
- 9. Patient Experience Technology Market, by Deployment Model
- 9.1. Cloud
- 9.2. On-Premises
- 10. Patient Experience Technology Market, by Application
- 10.1. Analytics
- 10.1.1. Descriptive Analytics
- 10.1.2. Predictive Analytics
- 10.2. Appointment Scheduling
- 10.2.1. Automated Scheduling
- 10.2.2. Manual Scheduling
- 10.3. Communication
- 10.3.1. Messaging
- 10.3.2. Video
- 10.4. Feedback Management
- 10.4.1. Feedback Forms
- 10.4.2. Survey Tools
- 10.5. Patient Engagement
- 10.5.1. Communication Tools
- 10.5.2. Patient Portal
- 11. Patient Experience Technology Market, by End User
- 11.1. Ambulatory Surgical Centers
- 11.2. Clinics
- 11.3. Hospitals
- 12. Patient Experience Technology Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. Patient Experience Technology Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Patient Experience Technology Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. United States Patient Experience Technology Market
- 16. China Patient Experience Technology Market
- 17. Competitive Landscape
- 17.1. Market Concentration Analysis, 2025
- 17.1.1. Concentration Ratio (CR)
- 17.1.2. Herfindahl Hirschman Index (HHI)
- 17.2. Recent Developments & Impact Analysis, 2025
- 17.3. Product Portfolio Analysis, 2025
- 17.4. Benchmarking Analysis, 2025
- 17.5. Epic Systems Corporation
- 17.6. Healthgrades Operating Company, Inc.
- 17.7. InMoment, Inc.
- 17.8. IQVIA Holdings Inc.
- 17.9. Luma Health, Inc.
- 17.10. Medallia, Inc.
- 17.11. Momentive Global Inc.
- 17.12. NICE Ltd.
- 17.13. NRC Health, LLC
- 17.14. Phreesia, Inc.
- 17.15. Press Ganey Associates, Inc.
- 17.16. Qualtrics International Inc.
- 17.17. R1 RCM Inc.
- 17.18. Salesforce, Inc.
- 17.19. Tonic Health, Inc.
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