埃верест集团 商业生命科学人工智能与分析服务 PEAK Matrix® 评估 2025

Everest Group Life Sciences AI and Analytics Services for CommercialPEAK Matrix®Assessment 2025 Focus onIQVIAJuly 2025 Introduction Life Sciences AI and Analytics Services for CommercialPEAK Matrix®Assessment 2025. Each provider profileprovides a comprehensive picture of its service focus, keyIntellectual Property (IP) / solutions, domain investments,and case studies. The assessment is based on EverestGroup’s annual RFI process for the calendar year 2024,interactions with leading life sciences commercialproviders, client reference checks, and an ongoinganalysis of the life sciences digital services market. Over the past few years, life sciences enterprises havesignificantly overhauled their R&D investments, driven bystreamlined development pipelines and a strategic pivottoward novel and large-molecule therapies. This shift hasheightened cost containment imperatives and sparked agrowing need for an innovative, tech-enabled approach tocommercialization. Concurrently, a rising emphasis onpatient-centricity and elevated Customer Experience (CX)expectations has further fueled the outsourcing ofcommercial operations to specialized service providers. Scope of this report Geography:global Industry:life sciences(biopharmaceutical, medical devices, andothers including Contract ResearchOrganizations (CROs)) Services:life sciences commercial The full report includes the profiles of the following 30leading life sciences AI and analytics services forcommercial providers featured on this assessment: In response, service providers have emerged as criticalenablers of this transformation. By harnessing advancedtechnologies, such as agentic and generative AI, MachineLearning (ML), and advanced analytics, they are helpingenterprises enhance workflow efficiency, reducetime-to-market, and drive strategic impact across thecommercialization continuum. Their offerings havematured into comprehensive, end-to-end solutionsdesigned to navigate the intricacies of both pre-launchplanning and post-launch execution. Leaders:Accenture, Axtria, Cognizant, Eversana,Indegene, IQVIA, Real Chemistry, Trinity Life Sciences,WNS, and ZS Major Contenders:Agilisium, Beghou Consulting,Capgemini, Conexus Solutions, C5i, DataZymes,Fractal Analytics, Genpact, HCLTech, Infosys, MathCo,ProcDNA, Quantiphi, TCS, and Tiger AnalyticsAspirants:Avira Digital, Customertimes, EverestCustomer Solutions, Infocepts, and Quantzig In the report, we present an assessment and the detailedprofiles of 30 service providers featured on the report Life Sciences AI and Analytics Services for Commercial PEAK Matrix®characteristics Major Contenders Leaders Aspirants Agilisium, Beghou Consulting, C5i, Capgemini,Conexus Solutions, DataZymes, Fractal Analytics,Genpact, HCLTech, Infosys, MathCo, ProcDNA,Quantiphi, TCS, and Tiger Analytics Avira Digital, Customertimes, Everest Customer Solutions,Infocepts, and Quantzig Accenture, Axtria, Cognizant, Eversana, Indegene,IQVIA, Real Chemistry, Trinity Life Sciences, WNS,and ZS Aspirants specialize in point solutions such ashealthcare professional (HCP) engagement, evidenceanalytics, or sales operations. Their agile teams, flexiblepricing, and personalized service models resonate withsmall and mid-sized pharma or biotech enterprises Leaders offer a full spectrum of solutions acrosslaunch strategy, pricing, access, omnichannelmarketing, sales enablement, and patientengagement, supported by robust proprietaryplatforms Major Contenders emphasize selected areas,such as field enablement, marketing analytics,content management, or sales forecasting, withdeep delivery experience, often supplemented bymodular accelerators or proprietary IP Gen AI capabilities are generally early-stage andfocused on narrow use cases such as summarization,brand research, or sentiment tagging, with limitedenterprise-scale deployments Leaders have operationalized gen AI and agenticAI across commercial use cases, including next-best-action, marketing mix modelling, andautonomous insight extraction, delivered throughcopilots and semantic frameworks. This, coupledwith deep integration with Salesforce, Veeva,AWS, Microsoft, and Databricks, enablesseamless delivery Many are building gen AI-driven microservices,agent orchestration frameworks, and copilots,typically in pilot or early production stages To scale, Aspirants must build commercial-native IP,expand collaborations with life sciences customerrelationship management (CRM) providers,hyperscalers, and niche commercial technologyproviders, and enhance market visibility through casestudies and innovation showcases While some have expanded through M&As orecosystem partnerships, others are expandinginto emerging markets such as MedTech orEU/APAC regions, and seeking to transition to abroad commercial solutions partner Leaders have sustained visibility in the marketthrough frequent publications, conferenceparticipation, and client case studies that reinforcedomain leadership Everes