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Celonis SE

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www.celonis.comMunich, Germany

Celonis SE provides process intelligence and enterprise AI to optimize and automate enterprise operations.

Overview

Celonis SE is a global software company that provides Process Intelligence and Enterprise AI platforms to help organizations unlock real-time operational clarity and improve business outcomes. The company serves industries including manufacturing, automotive, banking, healthcare, retail, and utilities, offering a unified platform to extract, analyze, and act on process data. Celonis emphasizes end-to-end visibility, operational context, and intelligent automation through its Context Model and Process Intelligence capabilities, enabling customers to optimize supply chains, improve customer experiences, and accelerate digital transformation without replacing existing systems. The audience includes enterprise CIOs, process owners, and business leaders seeking ROI from AI-enabled process improvements across finance, procurement, manufacturing, and service delivery.

Mission statement

To empower organizations to industrialize enterprise AI by delivering actionable process insights and intelligent automation that improve performance across functions and industries.

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What we offer

Celonis Platform

Unlocks enterprise process efficiency with AI-driven insights.

www.celonis.com/platform

Market segments

Market size by segment

Growth potential (CAGR)

Process mining and process intelligence

3.66 Billion USD34.4% CAGR

Discovery and analytics capabilities that visualize end-to-end processes, identify bottlenecks, and prioritize automation opportunities for continuous improvement.

Procurement and supply chain performance analytics

6.3 Billion USD20.9% CAGR

Analytics that benchmark and optimize procurement and supply chain operations, supplier performance, and cost-to-serve using industry-specific workflows and benchmarks.

Intelligent automation and orchestration

11 Billion USD21% CAGR

Automated remediation and orchestration that triggers actions across people and systems using action flows, alerts, and root-cause automation to reduce manual effort and close operational gaps.

Operational data historian and real-time analytics

1.4 Billion USD7.2% CAGR

Centralized capture, high-fidelity storage and real-time analytics of operational data across assets and systems to enable reporting, compliance, enterprise analytics and data-driven operations.

More information about our offering

Celonis Platform

Celonis Platform is a unified platform to extract, analyze, and act on enterprise process data to industrialize Enterprise AI. It combines a high-performance Data Core to ingest data from any source, a Context Model that creates a real-time, system-agnostic twin of your operations, and a Build Experience to analyze, design, and operate AI-driven processes. The platform enables rapid deployment of composable, AI-powered solutions and supports an integrated Marketplace of prebuilt apps and partner solutions. It offers process intelligence tools such as Process Explorer, Insight Explorer, and Studio Views, delivering real-time operational context to drive measurable outcomes across supply chains, IT modernization, customer experience, and digital transformation.

  • Enhances Process Efficiency
    Provides a holistic understanding of processes leading to optimized operations and improved decision-making.
  • Establishes Operational Clarity
    Combines data from disparate systems into actionable insights, ensuring informed decision-making across the organization.
  • Automate Responses Efficiently
    Easily automate workflows and orchestrate actions that bridge communication between systems and teams, enabling rapid responses to operational challenges.
  • Drive Smart Decisions
    Turn data into actionable strategies that enhance overall productivity and operational effectiveness.
  • Facilitates AI Solutions Development
    Empowers businesses to create custom solutions aligned with their operational needs and enhances responsiveness to market changes.
  • Enables Rapid Data Analysis
    Handles extensive datasets efficiently, providing insights essential for timely operational decisions.
  • Identify Issues Quickly
    Automatically identify and address root causes of inefficiencies, facilitating smoother operations through timely interventions.
  • Enhance Visibility
    Gain detailed insights into process flows for better decision-making and operational improvements.
  • Discovers Actionable Insights
    Utilizes AI to highlight opportunities for optimization and improvement within business processes.
  • Visualizes Process Flows
    Simplifies complex data interactions, enabling stakeholders to understand workflows better and identify inefficiencies.
  • Prevent Write-Offs
    Receive timely notifications on product expirations, allowing proactive management of stock to minimize financial losses.
  • Predict and Optimize
    Utilize AI capabilities to predict operational challenges and optimize workflows for improved efficiency.
  • Accelerates Solution Deployment
    Allows businesses to leverage pre-existing solutions, reducing time to value and enhancing operational efficiency.
  • Empowers User-Driven Analytics
    Enables tailored analytics experiences for users, enhancing engagement and the relevance of insights.

References

Methodology and sourcing behind the market figures shown above.

Process mining and process intelligence

Primary estimate uses Fortune Business Insights which reports the process mining software market valued at USD 3.66B in 2025 and projects a 34.4% CAGR. Other search results show wide variance (MarketsandMarkets: USD 1.8B in 2023 to USD 12.1B by 2028, 45.6% CAGR; Market Research Future: USD 11.83B in 2024, 18.37% CAGR), indicating methodological differences but consensus on high multi‑year growth. I selected the Fortune figure as the primary point estimate and the 34.4% CAGR as representative of strong growth potential across sources.

Procurement and supply chain performance analytics

Estimates use published procurement-analytics and supply-chain-analytics reports in the search results. Supply chain analytics is reported at about USD 6.27B (2023) and procurement analytics near USD 6.1B (2025) in different reports; MarketsandMarkets projects procurement analytics to USD 8.0B by 2026. Because procurement analytics overlaps with supply-chain analytics, I use the supply-chain figure (~USD 6.3B) as a conservative current market-size proxy. Cited CAGRs range from ~17.2% to 25.3%; the estimated CAGR is the average of those published growth rates (~20.9%).

Intelligent automation and orchestration

Multiple industry reports in the provided search results place the intelligent/AI orchestration market around $9–11.5 billion in 2024–2025 with projected high growth (≈20–22% CAGR) through the 2025–2035 period. I selected a midpoint current market size (~$11.0B) and a midpoint CAGR (~21.0%) consistent with the cited forecasts and their consensus range.

Operational data historian and real-time analytics

Primary estimates draw on specialist data-historian market reports: PersistenceMarketResearch projects a $1.6B market in 2026 (to $2.6B by 2033) with 7.2% CAGR; Market Research Future reports $1.224B in 2024 with a lower 5.55% CAGR to 2035. Broader real-time analytics markets show materially higher growth (Fortune Business Insights: ~$1.10B in 2025, 25.1% CAGR), indicating incremental upside from analytics adoption. I therefore estimate the core operational data-historian + real-time analytics segment at roughly $1.4B today with ~7.2% CAGR (using the PMR historian projection as the primary growth signal).

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