AI In Patient Engagement Market (2026 - 2033)

AI In Patient Engagement Market Summary

The global AI in patient engagement market was valued at USD 8.8 billion in 2025 and is projected to grow from USD 10.6 billion in 2026 to USD 41.9 billion by 2033, at a CAGR of 21.6% from 2026 to 2033. North America dominated the market, accounting for a revenue share of 42.9% in 2025. The market growth is driven by rising demand for personalized, patient-centered healthcare, increasing adoption of digital platforms and omnichannel approaches, growing use of AI to improve pharmacy efficiency and supply chain management, and supportive organizational initiatives.

Source: Grand View Research, IR Documents, Primary Interviews, Paid Databases

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AI Patient Engagement Use Cases for Better Healthcare

• Intelligent virtual assistants: AI-powered chatbots address routine patient queries, facilitate appointment scheduling, provide healthcare information, and guide patients through care pathways.

• Personalized patient outreach: AI analyzes patient profiles, medical histories, and appointment records to deliver tailored health information, reminders, doctor recommendations, and follow-up communications.

• Predictive analytics for preventive care: AI identifies patients at risk of health complications by analyzing clinical records, test results, symptoms, and health trends, supporting timely interventions and preventive follow-ups.

• Comprehensive patient data integration: AI consolidates electronic health records, consultation notes, diagnostic results, and patient feedback to provide healthcare professionals with a comprehensive view of patient needs and treatment progress.

• Adaptive questionnaires and patient feedback: AI dynamically adjusts survey questions based on patient responses and analyzes feedback to identify satisfaction trends, service gaps, and opportunities to improve the patient experience.

• Healthcare workforce optimization: AI analyzes appointment patterns, patient flow, staffing requirements, and service demand to optimize resource allocation, streamline administrative workflows, and reduce patient waiting times.

• AI-Powered appointment and no-show management: AI predicts missed appointments using historical attendance patterns and supports personalized reminders, automated follow-ups, and waitlist management to improve appointment adherence and resource utilization.

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Case Study Insights

Case Study: Application of Generative AI in Patient Engagement - Santovia and Northeastern University (Published in: October 2024)

Organizations: Northeastern University’s Institute for Experiential AI, Roux Institute’s Human Data Interaction group, and Santovia

Objective: To improve patient access to reliable, evidence-based, and personalized health information through generative AI.

Overview: Northeastern University’s AI + Health team and Human Data Interaction group collaborated with Santovia, a patient engagement company, to develop an AI-powered solution that helps patients obtain personalized information about their medical conditions and make informed healthcare decisions. The initiative addressed the challenge of patients struggling to find reliable, condition-specific health information through conventional internet searches.

“This project required expertise in generative AI, visualization, human-computer interaction, clinical implementation, and user testing. “It was not just about writing code and building a model. It was an A-to-Z pipeline of work."

-AI + Health Director Gene Tunik

Technology and Implementation: The project leveraged large language models (LLMs), small language models (SLMs), and retrieval-augmented generation (RAG) to develop a tailored AI assistant. The system was designed to answer patient health questions using relevant, health-specific knowledge while supporting personalized responses based on individual needs and preferences. The development process also focused on user engagement, long-term adoption, and preference-sensitive healthcare choices.

Key Outcomes and Applications:

• Personalized health information: Provides patients with relevant, evidence-based information about medical conditions and available healthcare choices.

• AI-powered patient assistance: Enables patients to ask health-related questions and receive tailored responses through an AI assistant.

• Improved patient engagement: Focuses on increasing user engagement and encouraging continued use of the patient engagement platform.

• Informed healthcare decisions: Supports patients in understanding their conditions and preparing for healthcare decisions.

• Scalable digital support: Establishes an AI system designed to respond to queries across multiple medical use cases.

Market Significance: This collaboration demonstrates the application of generative AI and knowledge-retrieval technologies in patient engagement platforms. By integrating personalized health information with conversational AI, the initiative highlights how healthcare organizations are developing digital tools to improve patient access to health education, support informed decision-making, and enhance patient experience.

“This project reflects what’s possible when cutting-edge AI is guided by empathy and real-world clinical needs. It was an opportunity to design something that doesn’t just answer questions, but empowers patients to ask better ones.”

- Maria Giovanna Trovato, global strategy and business development manager in health and life sciences at the Institute for Experimental AI

Market Dynamics

The artificial intelligence (AI) in patient engagement market is expanding as healthcare providers, payers, and pharmaceutical companies increasingly adopt AI-powered solutions to enhance patient communication, personalize healthcare interactions, and streamline administrative workflows. Advancements in natural language processing, generative AI, and predictive analytics are supporting the development of intelligent chatbots, virtual assistants, and automated outreach platforms. However, data privacy concerns, integration complexities, and the need for accurate AI-generated information remain key adoption challenges. Growing demand for 24/7 patient support and personalized digital healthcare services continues to create opportunities for market expansion.

Market Concentration & Characteristics

The integration of generative AI with EHRs is driving innovation in the market by simplifying complex medical information and enabling patients to better understand their diagnoses, test results, and treatment options. For instance, in August 2026, Oracle Health announced the general availability of its AI-powered Patient Portal in the U.S. The portal provides plain-language explanations of medical records, enables patients to connect with healthcare providers, and supports more proactive care management.

“Our AI-powered Oracle Health Patient Portal is built from the ground up to help patients understand, manage, and improve their health. By making it easy for patients to navigate their care and communicate digitally, we’re also helping care teams reduce administrative burden and focus their time on what matters most: delivering the best possible care.”

-Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences.

Partnerships between healthcare technology companies and healthcare providers are accelerating the adoption of AI-powered patient engagement platforms by integrating AI capabilities with hospital systems to improve personalized communication and care coordination. For instance, in July 2026, Salesforce partnered with Vivekananda Hospital Pvt. Ltd. in India to develop an AI-powered patient engagement platform using Agentforce 360, integrated with the hospital’s Hospital Information Management System (HIMS), to connect patient and doctor information, streamline outreach, and enhance operational workflows.

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Regulatory requirements related to data privacy, cybersecurity, transparency, and clinical safety influence the development and deployment of AI-powered patient engagement solutions. For instance, in February 2026, India's Ministry of Health and Family Welfare launched the Strategy for Artificial Intelligence in Healthcare for India (SAHI) and the Benchmarking Open Data Platform for Health AI (BODH). These initiatives promote ethical, transparent, accountable, and responsible AI adoption in healthcare. They reinforce the importance of trustworthy AI systems and appropriate evaluation as AI-enabled patient engagement solutions expand across India's healthcare ecosystem.

AI patient engagement companies are expanding into international markets through strategic partnerships, localized platforms, and connections with healthcare providers, insurers, and medical assistance networks. Cross-border expansion creates opportunities to serve patients seeking treatment abroad while improving access to provider information, treatment coordination, and healthcare navigation. For instance, in September 2026, MedWorks Inc. and Health4Travel B.V. announced a strategic partnership framework to improve cross-border healthcare access. The collaboration combines MedWorks' AI-enabled patient engagement platform and North American provider network with Health4Travel's international healthcare access network, which spans 55 countries.

Analyst Perspective

The market is witnessing growth driven by increasing demand for personalized healthcare communication, improved patient experience, medication adherence, and digital care coordination. Advancements in generative AI, natural language processing, predictive analytics, and virtual assistants are expanding applications across healthcare providers, payers, and pharmaceutical companies. Established technology providers benefit from extensive healthcare networks and integrated platforms, while specialized companies differentiate themselves through targeted engagement solutions. However, data privacy concerns, integration complexities, regulatory requirements, and the need for reliable AI-generated health information remain key challenges influencing market adoption.

Delivery Mode Insights

The cloud-based segment dominated the market and accounted for the largest share of 73.8% in 2025. Cloud-based solutions offer scalability, flexible deployment, remote accessibility, and integration with existing healthcare systems, enabling healthcare organizations to manage fluctuating patient volumes and deliver AI-powered engagement services across locations. For instance, AntEngage offers its Fonix.AI customer engagement platform with cloud deployment options, supporting voice AI agents, omnichannel chatbots, and automated communication campaigns. These capabilities illustrate how cloud-enabled AI platforms streamline patient communication and improve access to engagement services.

The on-premise segment is expected to grow significantly from 2026 to 2033 as healthcare organizations prioritize data privacy, security, and control over sensitive patient information. On-premise deployment enables organizations to customize AI solutions according to their operational workflows, maintain greater control over data storage and access, and integrate platforms with internal healthcare systems. These solutions also support organizations with stringent data governance requirements and reduce dependence on external cloud infrastructure.

Functionality Insights

The enhanced communication segment dominated the market, with the largest share of 25.6% in 2025. Increasing adoption of AI-driven communication tools enables healthcare organizations to deliver timely, personalized interactions through appointment notifications, medication reminders, follow-ups, and automated responses. NLP and sentiment analysis further support personalized communication, improve patient satisfaction, and reduce administrative workloads. For instance, in May 2026, Assort Health launched Assort Activate, an AI-powered outbound patient outreach solution designed to deliver proactive, personalized communication across multiple channels. The platform helps healthcare organizations schedule appointments, accelerate payment collection, and address gaps in patient care without increasing front-office staff workloads.

The chatbots and virtual health assistants segment is expected to grow at the fastest CAGR over the forecast period, driven by increasing demand for 24/7 patient support, self-service healthcare access, and automated administrative workflows. These solutions answer routine questions, facilitate appointment scheduling, and connect patients with healthcare teams when additional assistance is required. For instance, in February 2026, athenahealth launched enhanced AI-powered patient communication capabilities within its athenaOne platform, including text- and voice-based virtual assistants that provide 24/7 access to basic information and appointment scheduling. Integrated into existing provider workflows, these capabilities aim to simplify patient communication and reduce administrative burdens for healthcare practices.

Technology Insights

The natural language processing (NLP) segment dominated the market, with the largest share of 89.2% in 2025. NLP helps healthcare organizations analyze patient feedback, identify recurring concerns, and understand patient experiences through sentiment analysis and text mining. For instance, in August 2025, researchers published a study in JMIR Formative Research examining NLP-based analysis of 126,134 patient feedback entries at Alexandra Hospital in Singapore. The study used sentiment analysis, topic modeling, and emotion detection to identify patient concerns and improvement areas, demonstrating NLP's role in translating unstructured feedback into actionable insights for enhancing patient experience.

The others segment is expected to grow significantly over the forecast period. The others segment includes computer vision, machine learning technologies, etc. These advanced technologies have a wide range of applications across healthcare settings, contributing to improved patient outcomes and enhanced operational efficiency. Computer vision enables the analysis of medical images, facilitating early disease detection and diagnosis. Machine learning algorithms can analyze vast amounts of patient data to identify patterns and predict health risks, enabling proactive interventions & personalized treatment plans.

Therapeutic Area Insights

The chronic disease management segment dominated the market, with the largest share of 64.4% in 2025. AI-powered solutions support personalized care plans, medication adherence, ongoing patient communication, and disease self-management. For instance, in November 2025, CareMessage launched Wellness Copilot for Diabetes, an AI-powered solution designed to help community health centers and free clinics support patients with diabetes. The solution expands AI-driven patient engagement to strengthen chronic disease support amid rising patient volumes and healthcare workforce shortages.

“We see the immense pressure on our safety-net partners. By automating crucial aspects of diabetes care, we can alleviate staff burnout and ensure every patient, whether they have pre-diabetes or uncontrolled diabetes, receives timely, personalized support to achieve their health goals.”

- Cecilia Corral, Co-Founder and Chief Strategy Officer at CareMessage

The health & wellness segment is expected to grow at the fastest CAGR over the forecast period. With the increasing focus on preventive care and personalized health management, AI technologies are being leveraged to enhance patient engagement in this sector. According to a 2024 report by VI Ltd. currently, approximately 35% of healthcare organizations, including health & wellness companies, utilize AI in their portfolios and gain a benefit of 20% reduction in operational efficiency which support the overall growth of the companies. The integration of AI in this area supports the broader trend of including a combination of images, videos, and numeric data with the help of multimodal AI models to achieve a more patient-centric approach in healthcare, leading to substantial market growth.

End Use Insights

The healthcare providers segment dominated the market, with the largest share of 37.5% in 2025. Growing emphasis on patient-centric care, efficient resource utilization, and personalized healthcare experiences is accelerating AI adoption among hospitals and clinics. AI-powered tools support patient outreach, automate administrative workflows, analyze patient feedback, and enable more proactive care coordination. For instance, in June 2026, Hartford HealthCare integrated PatientGPT, an AI-powered patient assistant developed with K Health, into its patient portal and mobile application. The platform provides health guidance based on patients' medical histories, explains laboratory results in plain language, and connects users with scheduling and virtual care services. Hartford HealthCare reported approximately 40,000 activated users, demonstrating healthcare providers' growing adoption of AI to improve patient access, personalized communication, and care coordination.

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The pharmaceutical companies segment is expected to grow at the fastest CAGR over the forecast period, driven by increasing demand for personalized patient support programs, medication adherence, treatment education, and improved patient access. AI-powered patient engagement platforms enable pharmaceutical companies to deliver targeted communication, provide therapy-related information, monitor adherence patterns, and support patients throughout their treatment journeys. Integration with digital health platforms and patient support services further strengthens engagement, improves treatment continuity, and supports patient-centric pharmaceutical care.

Regional Insights

North America dominated the market with a revenue share of over 42.9% in 2025. The region's strong presence of healthcare technology companies, growing demand for personalized patient communication, and emphasis on improving operational efficiency further support market growth. In addition, rising adoption of virtual assistants, automated patient outreach, and digital health platforms strengthens the integration of AI into patient engagement across hospitals, clinics, pharmaceutical companies, and healthcare payers.

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U.S. AI In Patient Engagement Market Trends

The U.S. market is being driven by the market players developing AI-enabled solutions to assist patients suffering from chronic diseases. For instance, in February 2024, Belong.Life, a key player in the AI-driven patient education and support sector, launched the BelongAI Dave - Cancer Mentor app. This technology signifies an innovative approach to cancer care, offering a 24/7 comprehensive, conversational AI support system for both patients and caregivers globally.

Europe AI In Patient Engagement Market Trends

The market's growth is supported by advanced healthcare infrastructure, growing adoption of digital health, and initiatives that promote responsible AI innovation. Regulatory developments are also shaping the deployment of AI-powered healthcare solutions by emphasizing safety, transparency, and data protection. For instance, in July 2026, the European Union’s AI Omnibus entered into force, introducing measures to simplify AI compliance, extend implementation timelines, and expand regulatory sandbox opportunities while retaining safeguards for safety and fundamental rights. These measures aim to support innovation and provide greater regulatory clarity for AI developers and healthcare organizations.

Germany's AI in patient engagement market is supported by its established healthcare infrastructure, growing adoption of digital health technologies, and increasing focus on personalized patient communication and preventive care. For instance, in November 2025, Bosch Health Campus and Charité - Universitätsmedizin Berlin launched Sundi, a free digital health service featuring an AI-based virtual health assistant. Designed primarily for people aged 55 and older, the platform combines scientifically reviewed health information with personalized recommendations to support healthy lifestyles and preventive care.

The UK AI in patient engagement market is driven by government investment in healthcare digitalization, increasing NHS adoption of AI, and demand for more accessible patient services. AI-powered tools are being integrated into patient-facing platforms to improve care navigation, reduce waiting times, and streamline communication between patients and healthcare professionals. For instance, in July 2026, NHS England announced an accelerated rollout of AI tools, including an AI triage tool in the NHS App to direct patients to appropriate healthcare services. An initial GP practice trial in Sussex reported a 29% reduction in patients queuing on the phone, highlighting AI's potential to improve patient access and reduce administrative pressure.

Asia Pacific AI In Patient Engagement Market Trends

Asia Pacific is anticipated to register the fastest growth in the market over the forecast period. The market is driven by factors such as strategic initiatives, technological advancements, and increasing government support. Key players are launching new products, engaging in mergers & acquisitions, and forming partnerships to enhance AI-powered patient care. Investments in technology are leading to better, patient care systems, with significant government support, such as substantial fund allocations for AI initiatives, further fueling market growth.

The AI in patient engagement market in China has a significant market share in 2025. The country’s growth is supported by the rapid adoption of digital healthcare platforms, increasing demand for accessible medical services, and government initiatives promoting AI integration across healthcare. AI-powered health assistants, intelligent triage, and virtual consultations are expanding access to health information, personalized guidance, and follow-up support. For instance, in December 2025, Ant Group upgraded its AI health application, AQ, renaming it Ant A-Fu and integrating health question-and-answer services, an AI health companion, and access to healthcare services. Launched in June 2025, the application had reached 15 million monthly active users and was answering more than 5 million health-related questions daily, highlighting the growing adoption of AI-enabled patient engagement in China.

The AI in patient engagement market in India is expected to grow significantly during the forecast period. Government initiatives promoting AI adoption and interoperable digital health systems are further supporting market development. For instance, in August 2026, Fractal Analytics launched the beta version of the BMC Health AI Chatbot on WhatsApp, powered by its Vaidya.ai platform, in collaboration with the Brihanmumbai Municipal Corporation (BMC). The multilingual service provides health information through a familiar messaging platform, improving access to healthcare guidance and demonstrating the growing use of conversational AI for patient engagement in India.

Latin America AI In Patient Engagement Market Trends

The market in the region is growing significantly due to the increasing adoption of digital health platforms, the widespread use of messaging applications, and the demand for more accessible patient communication. AI-powered solutions are helping healthcare providers automate patient inquiries, streamline appointment coordination, and improve follow-up communication despite limited healthcare resources. For instance, in December 2025, Leona Health launched its AI-powered physician copilot across 14 countries and 22 medical specialties, integrating with WhatsApp to organize patient messages, categorize inquiries, suggest responses, and support administrative workflows.

The heart of healthcare is the doctor-patient relationship, but without the right tools, that humanity comes at a cost. By automating the administrative side of medicine with an AI co-pilot for doctors, Leona Health is building the future operating system for healthcare to scale what matters most: human connection. By leveraging ubiquitous technology and thoughtful design, Leona is showing how tech can transform access to care and re-architect the patient experience for a more connected, intelligent future."

- Caroline Merin, cofounder and CEO of Leona Health.

MEA AI In Patient Engagement Market Trends

The market in the MEA is expanding due to increasing healthcare digitalization, government investments in AI, and rising demand for accessible, personalized patient support. Healthcare providers are adopting conversational AI, virtual health assistants, and digital health platforms to improve patient education, care navigation, and communication. For instance, in May 2026, M42 and Diaverum launched kidney.com, an AI-powered kidney health assistant initially introduced in the UAE. The platform provides personalized kidney health education through conversational AI, voice controls, and multilingual support, helping users understand kidney conditions and preventive care. The initiative highlights the region's growing use of AI to strengthen patient education and proactive health engagement.

Key AI In Patient Engagement Company Insights

The market is competitive, and some of the most notable participants in the market are Oracle; Nuance Communications, Inc. (Microsoft); Health Catalyst; IQVIA Inc.; MedAdvisor Solutions; Innovaccer, Inc.; EmpiRx Health, LLC.; IBM; Huma; and mPulse Mobile. These players are involved in new product launches, acquisitions, and partnerships to gain a competitive edge over each other.

Key AI In Patient Engagement Companies

• Medadvisor Solutions

• Innovaccer, Inc.

• EnlivenHealth

• EmpiRx Health, LLC.

• IBM

• Huma

• mPulse Mobile

• AllazoHealth

• P360

• Brand Engagement Network, Inc.

• Oracle

• Nuance Communications, Inc. (Microsoft)

• Health Catalyst

• Ada Health GmbH

• Aiva, Inc.

• Claritas Rx

• AiCure

• UST Global Inc

• ZS

• IQVIA Inc

Recent Developments

• In October 2026, Aceso Interactive, Inc. announced a collaboration with Alvee to integrate its AI-powered whole-person care navigation capabilities into the Aceso Sphere platform. The integration enabled hospitalized patients to communicate their social needs and care preferences, opt into supportive services, and receive follow-up assistance through bedside interactions. The collaboration also aimed to help hospitals identify social needs embedded in clinical data and capture reimbursement for the associated care coordination services.

“By bringing Alvee’s AI-enabled services into Aceso Sphere, we’re giving providers a simple, compliant way to understand the social needs of every patient and connect them with the services they need before they leave the hospital.”

-Geoff Fiedler, Co-Founder and President of Aceso Interactive.

• In October 2026, San Francisco-based Parakeet Health announced that it had raised USD 10 million in an oversubscribed Series A funding round led by Canvas Ventures, with participation from Blank Space Ventures, StoryHouse Ventures, and HMC INQ. The funding brought the company’s total funding to USD 13 million and was intended to support hiring, product development, and expansion into additional medical specialties. Parakeet Health also reported a tenfold increase in annual recurring revenue over the preceding year, with its AI-powered patient communication and scheduling solutions serving more than 2,800 providers across over 1,100 locations.

"Patient engagement determines whether demand becomes care, whether clinical capacity is used and whether a healthcare organization grows.”

-Jung Park, cofounder and CEO of Parakeet Health, said in a statement.

• In October 2025, Lirio announced the launch of Precision Nudging for Life Sciences, an AI-powered patient engagement solution designed for pharmaceutical and biotechnology companies. The platform combines behavioral science with agentic AI to deliver adaptive, behaviorally informed messages to patients and caregivers throughout the treatment journey. The launch expanded Lirio’s existing platform into the life sciences sector, aiming to bridge the gap between healthcare data and real-world patient behavior through personalized engagement.

“We are at an inflection point where outreach rules are becoming stricter, patients are choosing brands that make their experience easier, and payers are focusing on outcomes instead of impressions. At the same time, privacy changes and the unbundling of care are making direct, consent-based relationships essential. As life sciences organizations embrace new direct-to-patient models, AI-driven behavioral science is the critical bridge between compliant communication and value-creating patient engagements.”

-Barbara Salami, former VP of Commercial Excellence and Innovation at Novo Nordisk

• In June 2024, Medadvisor Solutions announced the launch of THRiV, an omnichannel pharmacy engagement powered by its AI-enabled platform. This suite enabled pharmacies to enhance their digital patient engagement strategies and existing initiatives, including providing paperless options increasingly preferred by patients.

Global AI In Patient Engagement Market Report Segmentation

This report forecasts revenue growth and provides at global, regional, and country levels an analysis of the latest trends in each of the sub-segments from 2021 to 2033. For this report, Grand View Research has segmented the global AI in patient engagement market report based on delivery mode, functionality, technology, therapeutic area, end use, and region:

• Delivery Mode Outlook (Revenue, USD Million, 2021 - 2033)

  • Cloud-based

  • On-premise

• Delivery Functionality (Revenue, USD Million, 2021 - 2033)

  • Enhanced Communication

  • Patient Education

  • Chatbots and Virtual Health Assistants

  • Predictive Analytics

  • Administrative and Streamlined Operations

  • Others

• Technology Outlook (Revenue, USD Million, 2021 - 2033)

  • Natural Language Processing (NLP)

    • Smart Assistance

    • OCR (Optical Character Recognition)

    • Auto Coding

    • Text Analytics

    • Speech Analytics

    • Classification and Categorization

  • Others

• Therapeutic Area Outlook (Revenue, USD Million, 2021 - 2033)

  • Health & Wellness

  • Chronic Disease Management

  • Others

• End Use Outlook (Revenue, USD Million, 2021 - 2033)

  • Healthcare Providers

  • Healthcare Payers

  • Pharmaceutical Companies

  • Pharmacy

• Regional Outlook (Revenue, USD Million, 2021 - 2033)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • UK

    • Germany

    • France

    • Italy

    • Spain

    • Denmark

    • Sweden

    • Norway

  • Asia Pacific

    • Japan

    • China

    • India

    • Australia

    • South Korea

    • Thailand

  • Latin America

    • Brazil

    • Argentina

  • Middle East & Africa

    • South Africa

    • Saudi Arabia

    • UAE

    • Kuwait

Research Methodology

The AI in patient engagement market figures in this report are based on a proven research process that combines executive interviews with secondary research from proprietary databases, company filings, and recognized regulatory and institutional sources. Market size is built through value-chain sizing - reconciling supply-side and demand-side estimates - and triangulated with bottom-up and top-down approaches. Every estimate passes multiple levels of expert validation before publication, with each AI in patient engagement segment quantified using the revenue-capture definitions in the table below.

Estimation Model

The market size of the AI in patient engagement was estimated using a bottom-up approach, supported by company-level revenue analysis, product benchmarking, and segment-level revenue estimation. Key market participants were identified, and their AI-based products and integrated solutions were benchmarked to assess their presence in the market. Company revenues attributable to AI in patient engagement were analyzed to estimate segment-specific revenues, followed by extrapolation of regional and global market size based on the estimated market shares of key players. The market forecast was developed by evaluating historical company performance and key market variables over the forecast period.

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