Spotlight

Report:

The Forrester Wave™: Customer Service Solutions, Q1 2026

How does Forrester define the Customer Service Solutions market in 2026?

AI is fundamentally transforming customer service operations from a reactive, cost-heavy, and manual function into a proactive, efficient, and personalized experience. Forrester projects that customer service representative (CSR) roles will see a 55% influence from genAI and a 49% automation potential. Generative AI and AI agents will handle a significant portion of customer inquiries while assisting CSRs with complex, nuanced issues. AI is also reshaping customer service technologies by rendering obsolete existing capabilities supported by best-in-class vendor ecosystems, ultimately reducing vendor sprawl, lowering total cost of ownership, and providing organizations with more flexibility. The evaluation highlights Leaders, Strong Performers, and Contenders among 12 key providers in this rapidly evolving market.

Key Facts for The Forrester Wave™: Customer Service Solutions, Q1 2026 in 2026

How did the Customer Service Solutions market evolve in 2026?

What product features are required to be included in this year's evaluation?

What are the common features of top products in the Customer Service Solutions space?

No common features specified.

Scope Exclusions

Inclusion Criteria

Vendors must, among other requirements:

Offering Strengths — Relative Weighting

Strategy Strength — Relative Weighting

FAQs

Q: What does this research cover?

A: This research evaluates the 12 most significant customer service solutions providers, analyzing their current offerings, strategies, and customer feedback. The evaluation focuses on how vendors are leveraging AI to transform customer service operations, including capabilities for AI agents, conversational AI, case management, quality management, knowledge management, and CSR support tools. It examines vendor positioning across Leaders, Strong Performers, and Contenders categories.

Q: Who should use this research?

A: Customer service and IT leaders should use this evaluation to inform purchase decisions for customer service solutions. It helps identify providers that offer end-to-end capabilities within well-defined ecosystems, new UX and unified tooling for managing AI and CSR operations, and in-product learning loops to strengthen AI. The research is particularly valuable for organizations seeking to leverage AI for automation while maintaining personalized customer experiences and those evaluating how different vendors support their specific industry needs and operational complexity levels.

Q: What are the mandatory features of vendors included in this market?

A: To be included in this Forrester Wave evaluation, vendors must: 1) Natively provide all core customer service functions with a demonstrated track record for supporting enterprise deployments; 2) Offer the solution as a standalone purchasable product with its own SKU and pricing, not solely as a free feature within a larger portfolio; 3) Have substantial market revenue of at least $250 million annually from their customer service product in the past four quarters; and 4) Demonstrate significant mindshare among Forrester's enterprise clients through frequent mentions in inquiries, advisories, consulting engagements, and competitive comparisons.

Q: What are some reasons for not being included in this report?

A:

  • Insufficient annual revenue from customer service products (below $250 million threshold)
  • Lack of standalone product offering with dedicated SKU and pricing
  • Strategic shift away from customer service market focus
  • Insufficient mindshare among Forrester enterprise clients
  • No demonstrated track record supporting enterprise-level deployments
  • Declining to participate in the evaluation process
  • Solution offered only as embedded feature rather than standalone product

Q: What should buyers consider when evaluating products in this market?

A:

  • End-to-end customer service capabilities within a well-defined ecosystem - prioritize vendors with strong end-to-end capabilities or solid partnerships with adjacent ecosystem vendors
  • New UX and unified tooling to manage CSR and AI operations - look for tightly blended AI and CSR experiences with measurement and optimization frameworks for AI
  • In-product learning loops to strengthen AI - seek vendors offering frameworks spanning feature sets used to suggest and make changes, including process intelligence, quality management, and conversation intelligence capabilities

Q: How has the Customer Service Solutions market evolved in 2026?

A:

  • AI is fundamentally transforming customer service from reactive, cost-heavy, manual functions into proactive, efficient, personalized experiences
  • Customer service representative roles facing 55% influence from genAI and 49% automation potential
  • Generative AI and AI agents handling significant portions of customer inquiries
  • AI enabling predictive problem-solving, data-driven personalization, and improved CSR onboarding
  • AI rendering obsolete existing capabilities and reducing vendor sprawl
  • Convergence of discrete vendor ecosystems for digital-first customer service, conversational AI, CCaaS, and customer service solutions
  • Shift from CSRs managing workload with AI-assist to AI handling majority of work with CSRs assisting on exceptions
  • Need for new user experiences tailored to AI-first jobs
  • Requirement for unified analytics to manage quality of both AI and CSR engagement
  • Continuous monitoring and optimization of AI outputs through orchestration across multiple capabilities
  • In-product learning loops strengthening AI through process intelligence, quality management, and conversation intelligence

Q: What differentiates Strength of Offering vs. Strength of Strategy?

A: Strength of Offering evaluates the current capabilities of each vendor's customer service solution, including features like AI-assist tools, case management, conversational AI, self-service portals, quality management, and omnichannel support. This represents what vendors deliver today. Strength of Strategy evaluates forward-looking aspects such as vision for AI transformation, innovation investments, product roadmap, partner ecosystem maturity, customer adoption programs, pricing models, and supporting services. This represents how well-positioned vendors are for future market demands and their ability to execute on their vision.

Reference

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