Process Mining Market Size & Share 2023 to 2032
Market Size by Component (Solution, Service), by Type (Discovery, Conformance, Enhancement), by Deployment Model (On-premises, Cloud), by End User (Manufacturing, IT &Telecom, BFSI, Retail & E-commerce).
Report ID: GMI7386
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Published Date: November 2023
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Process Mining Market Size
Process Mining Market was valued at USD 1.03 billion in 2022 and is estimated to register a CAGR of over 40% between 2023 and 2032. Significant capital injections are propelling the market, driving innovation and expansion in the industry. Investments from various sources including venture capital firms and established technology companies have provided the necessary resources for process mining software providers to enhance their product offerings.
Process Mining Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
For instance, in December 2022, Apromore, a provider of process mining software, closed its Series B funding round, securing USD 10.3 million in investments from Salesforce and GBTEC, a company supported by Main Capital Partners. This financial boost enables Apromore to enhance its product features and connectivity offerings, aligning with the increasing market demand for top-notch process mining solutions.
Operational efficiency is a key driver propelling the process mining market. Businesses today face the challenge of optimizing complex processes to enhance productivity. Process mining offers a solution by providing in-depth insights into these processes. By analyzing digital footprints and event logs, organizations can identify bottlenecks & inefficiencies. Armed with this information, they can streamline workflows, automate repetitive tasks, and improve resource utilization. This efficiency boost reduces operational costs and enhances overall productivity, making it a vital factor fueling the adoption of process mining solutions across industries.
Data privacy and security pose significant challenges to the process mining market. To analyze sensitive data for process optimization, compliance with stringent privacy regulations such as GDPR is a must. This compliance demands meticulous handling of personal and confidential information. Ensuring secure data storage, transmission, and access control while extracting valuable insights is paramount. Striking a balance between leveraging data for process improvement and safeguarding individual privacy rights is a complex task, requiring robust encryption methods and stringent compliance measures to mitigate risks & foster market growth.
COVID-19 Impact
The COVID-19 pandemic accelerated the adoption of process mining solutions. Businesses, facing disruptions and remote work challenges, turned to process mining to optimize remote workflows, enhance operational efficiency, and reduce costs. The need for real-time insights into rapidly changing processes became crucial. Industries including healthcare and supply chain management particularly benefited from process mining, ensuring streamlined operations amidst uncertainties. This increased demand and reliance on data-driven decision-making have positively impacted the market share.
Process Mining Market Trends
The integration of AI systems into process mining solutions is driving growth in the market. AI enhances process mining by automating complex data analysis, uncovering intricate patterns, and predicting process behavior. For instance, in May 2023, Pegasystems Inc., a leading low-code platform provider, unveiled Pega Process Mining. This new offering simplifies the process of identifying and addressing operational inefficiencies for users of all expertise levels within the Pega ecosystem. Coupled with generative AI-ready APIs, the solution can seamlessly integrate into the Pega Platform. This integration provides organizations with a cohesive solution, enabling continuous optimization of their Pega workflows. This value proposition fuels market expansion and attracts businesses aiming for enhanced productivity & competitiveness.
Compliance and risk management are pivotal aspects propelling the market. Process mining tools help organizations ensure adherence to regulatory standards and internal protocols. By analyzing digital footprints, these tools provide transparency, allowing businesses to identify non-compliance risks, fraud, or deviations from established procedures. Detecting these issues in real time enables proactive measures, ensuring legal compliance, mitigating financial risks & safeguarding the organization's reputation. This capability to enhance governance and risk management practices makes process mining essential for businesses operating in regulated environments.
Process Mining Market Analysis
Based on component, the market is divided into solution and service. The solution segment held over 65% of the business share in 2022. Solutions with enhanced features are driving momentum in the market. By continuously improving functionalities, such as advanced data analysis, real-time monitoring, and intuitive visualization tools, providers are meeting the evolving business needs. For instance, in May 2023, Celonis, a leading provider of process mining solutions, unveiled a range of robust product features designed to help companies swiftly discover and capitalize on the business value within their processes. These enhancements highlight Celonis' commitment to continuously improving its core platform, showcasing the company's ongoing efforts to redefine the field of process mining.
Based on deployment model, the process mining market is categorized into on-premises and cloud. The cloud segment held around 40% market share in 2022 and is projected to grow by 2032. Scalability is a driving force behind the adoption of cloud-based process mining solutions. Businesses, particularly those experiencing rapid growth or fluctuating data volumes, benefit from the cloud's ability to scale resources on demand. Whether analyzing a small dataset or handling vast amounts of process data, cloud platforms provide the necessary computational power and storage space. This scalability ensures that organizations can efficiently manage their process mining needs without worrying about hardware limitations, making cloud deployment an ideal choice for businesses with varying processing requirements.
North America dominated the global process mining market with a major share of over 35% in 2022. Enterprise digital transformation initiatives in North America are driving the adoption of process mining solutions. As businesses undergo digital transformation, they aim to modernize their processes, making them agile, efficient & technology-driven. Process mining plays a pivotal role by offering insights into the existing workflows, identifying bottlenecks, and enabling seamless automation. By leveraging process mining technologies, North American enterprises can streamline their operations, enhance productivity, and deliver superior digital experiences to customers, aligning with the overarching goals of their digital transformation strategies.
Process Mining Market Share
Major players operating in the process mining industry are:
Celonis and SAP Signavio dominate the market. Leading players in the market compete for market share by investing in advanced technologies and strategic collaborations. They focus on enhancing user experience, expanding global presence, and offering diverse solutions, thus fostering intense competition & innovation in the industry.
Process Mining Industry News
The process mining market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Million) from 2018 to 2032, for the following segments:
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By Component, 2018 – 2032
By Type, 2018 – 2032
By Deployment Model, 2018 – 2032
By End User, 2018 – 2032
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →