Spotlight

Report:

The Forrester Wave™: Digital Process Automation Software, Q4 2023

How does Forrester define the Digital Process Automation Software market in 2023?

The DPA market has moved toward the deep end of the pool, with AI-led potential shifting responsibility toward professional developers and more challenging but transformative use cases. Vendors have responded with more complete governance offerings, stronger endpoint orchestration, process intelligence, and infusion of AI components. The evaluation identified 15 significant providers across Leaders, Strong Performers, Contenders, and Challengers categories based on 26 evaluation criteria. Key customer needs include end-to-end orchestration, comprehensive DPA governance, and support for automation fabric goals that centrally manage hybrid workforces of autonomous workplace assistants and humans.

Key Facts for The Forrester Wave™: Digital Process Automation Software, Q4 2023 in 2023

How did the Digital Process Automation Software market evolve in 2023?

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

What are the common features of top products in the Digital Process Automation Software 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 covers a comprehensive 26-criterion evaluation of digital process automation (DPA) software providers. It evaluates vendors across three main categories: current offering (including tooling for development, AI-led process transformation, process optimization, adjacent automation support, governance, and automation fabric support), strategy (product vision, innovation, roadmap, partner ecosystem, adoption, and pricing), and market presence (revenue and customer base). The report assesses 15 major DPA providers and categorizes them as Leaders, Strong Performers, Contenders, or Challengers based on their capabilities in supporting deep DPA use cases, end-to-end orchestration, and AI-driven transformation.

Q: Who should use this research?

A: This research should be used by technology professionals who are evaluating and selecting DPA software providers for their organizations. It is particularly valuable for those looking to implement sophisticated, deep DPA deployments that require strong orchestration capabilities, governance, and AI integration. The report helps buyers understand how each vendor measures up against critical DPA criteria and provides guidance on which providers are best suited for different use cases - from wide, citizen-led deployments to deep, mission-critical professional developer projects. Users can download the accompanying Excel-based vendor comparison tool to customize criteria weightings based on their specific organizational needs.

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

A: All vendors included in this evaluation must have: (1) A formal modeling environment to build, visualize, and manage processes; (2) Global presence in at least two major geographies with minimum 15% revenue per region; (3) Annual DPA product revenue exceeding $20 million; (4) Native support for adjacent automation capabilities including RPA, rules and decision modeling, collaboration, intelligent document processing, and process/task mining with complex case management; (5) Proven ability to support complex long-running processes at scale with automation fabric principles including data-driven processes, governance, end-to-end orchestration, and visibility; (6) Demonstrated market presence through Forrester client inquiries and consulting engagements.

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

A:

  • Annual DPA product revenue below $20 million threshold
  • Insufficient global geographic coverage (less than two major regions or less than 15% revenue per region)
  • Lack of formal process modeling and visualization environment
  • Missing native support for critical adjacent automation capabilities
  • Unable to demonstrate scalability for complex, long-running processes
  • Insufficient support for automation fabric principles (governance, orchestration, visibility)
  • Limited Forrester mindshare or market presence
  • Vendor declined to participate in evaluation process
  • Vendor provided only partial participation in evaluation
  • Solution focused primarily on simple workflow rather than comprehensive DPA capabilities

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

A:

  • End-to-end orchestration capabilities for managing APIs, RPA bots, microservices, and enterprise applications across cloud and on-premises environments
  • DPA governance features including published governance methodology, out-of-the-box governance consoles, and management of processes under construction
  • Support for automation fabric goals to centrally view and manage hybrid workforce of autonomous workplace assistants and humans
  • Metadata-aware connectors that can schedule, stop, and start tasks within or outside the DPA platform
  • Application access permissions on role and individual basis with strong audit features
  • Key performance indicators to control misuse and application sprawl
  • AI-led transformation capabilities and data integration features
  • Endpoint modeling and orchestration capabilities
  • Pricing transparency and flexibility aligned with deployment scale and complexity
  • Partner ecosystem strength and availability of trained developers/consultants

Q: How has the Digital Process Automation Software market evolved in 2023?

A:

  • Market shift toward AI-led potential and deep use cases
  • Increased responsibility toward professional developers for transformative applications
  • Evolution from citizen development focus to more complete governance offerings
  • Stronger endpoint orchestration capabilities for cloud and on-premises environments
  • Integration of process intelligence into DPA platforms
  • Infusion of AI components across DPA solutions
  • Growing importance of metadata-aware connectors for scheduling and managing autonomous workplace assistants
  • Need for process system of record with published governance methodologies
  • Rising requirements for automation fabric to manage hybrid workforce of digital and human workers
  • Heightened importance of AI-led transformation, data integration, and endpoint modeling

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

A: Current Offering evaluates the strength of each vendor's existing product capabilities across development tooling, AI transformation tools, process optimization, automation support, governance, automation fabric support, and deployment features. Strategy evaluates the vendor's future direction and market approach through their vision, innovation approach, execution roadmap, partner relationships, pricing models, and adoption strategies. Current Offering focuses on 'what the product can do today' while Strategy focuses on 'where the vendor is heading and how they plan to get there.'

Reference

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