Chapter 1. GLOBAL PROCESS MINING SOFTWARE MARKET – Scope & Methodology
1.1. Market Segmentation
1.2. Scope, Assumptions & Limitations
1.3. Research Methodology
1.4. Primary Sources
1.5. Secondary Sources
Chapter 2. GLOBAL PROCESS MINING SOFTWARE MARKET – Executive Summary
2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2. Key Trends & Insights
2.2.1. Demand Side
2.2.2. Supply Side
2.4. Attractive Investment Propositions
2.5. COVID-19 Impact Analysis
Chapter 3. GLOBAL PROCESS MINING SOFTWARE MARKET – Competition Scenario
3.1. Market Share Analysis & Company Benchmarking
3.2. Competitive Strategy & Development Scenario
3.3. Competitive Pricing Analysis
3.4. Supplier-Distributor Analysis
Chapter 4. GLOBAL PROCESS MINING SOFTWARE MARKET - Entry Scenario
4.1. Regulatory Scenario
4.2. Case Studies – Key Start-ups
4.3. Customer Analysis
4.5. PESTLE Analysis
4.4. Porters Five Force Model
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Powers of Customers
4.4.3. Threat of New Entrants
4.4.4. Rivalry among Existing Players
4.4.5. Threat of Substitutes
Chapter 5. GLOBAL PROCESS MINING SOFTWARE MARKET - Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Market Drivers
5.3. Market Restraints/Challenges
5.4. Market Opportunities
Chapter 6. GLOBAL PROCESS MINING SOFTWARE MARKET – By Deployment
On-Premises
• Cloud
Chapter 7. GLOBAL PROCESS MINING SOFTWARE MARKET - By Organisation Size
• Large Enterprises
• Small & Medium Enterprises
Chapter 8. GLOBAL PROCESS MINING SOFTWARE MARKET – By Component
Software
• Services
Chapter 9. GLOBAL PROCESS MINING SOFTWARE MARKET – Market Size, Forecast, Trends & Insights
9.1. North America
9.1.1. By Country
9.1.1.1. U.S.A.
9.1.1.2. Canada
9.1.1.3. Mexico
9.1.2. By Type of Acrylic Resin
9.1.3. By Product Form
9.1.4. By Application
9.1.5. Countries & Segments - Market Attractiveness Analysis
9.2. Europe
9.2.1. By Country
9.2.1.1. U.K.
9.2.1.2. Germany
9.2.1.3. France
9.2.1.4. Italy
9.2.1.5. Spain
9.2.1.6. Rest of Europe
9.2.2. By Type of Acrylic Resin
9.2.3. By Product Form
9.2.4. By Application
9.2.5. Countries & Segments - Market Attractiveness Analysis
9.3. Asia Pacific
9.3.1. By Country
9.3.1.1. China
9.3.1.2. Japan
9.3.1.3. South Korea
9.3.1.4. India
9.3.1.5. Australia & New Zealand
9.3.1.6. Rest of Asia-Pacific
9.3.2. By Type of Acrylic Resin
9.3.3. By Product Form
9.3.4. By Application
9.3.5. Countries & Segments - Market Attractiveness Analysis
9.4. South America
9.4.1. By Country
9.4.1.1. Brazil
9.4.1.2. Argentina
9.4.1.3. Colombia
9.4.1.4. Chile
9.4.1.5. Rest of South America
9.4.2. By Type of Acrylic Resin
9.4.3. By Product Form
9.4.4. By Application
9.4.5. Countries & Segments - Market Attractiveness Analysis
9.5. Middle East & Africa
9.5.1. By Country
9.5.1.1. United Arab Emirates (UAE)
9.5.1.2. Saudi Arabia
9.5.1.3. Qatar
9.5.1.4. Israel
9.5.1.5. South Africa
9.5.1.6. Nigeria
9.5.1.7. Kenya
9.5.1.8. Egypt
9.5.1.9. Rest of MEA
9.5.2. By Type of Acrylic Resin
9.5.3. By Product Form
9.5.4. By Application
9.5.5. Countries & Segments - Market Attractiveness Analysis
Chapter 10. GLOBAL PROCESS MINING SOFTWARE MARKET – Company Profiles – (Overview, Product Portfolio, Financials, Strategies & Developments)
ABBYY Solutions Limited
Fluxicon BV
myInvenio, an IBM Company
Celonis GmbH
Signavio
Hyland Software, Inc.
UiPath, Inc.
QPR Software Plc
Software AG
(2026 - 2030)
The Process Mining Software Market was valued at USD 3.49 Billion in 2025 and is projected to reach a market size of USD 29.13 Billion by the end of 2030. Over the forecast period of 2026-2030, the market is projected to grow at a CAGR of 52.86%.
Process mining platform collects information to gain detailed information about how organisation works and their back office drawbacks and also their performance gaps. Adopting such software will increase enterprise position in the market, systems will integrate automation and their digital transformation will increase with these advanced systems.
Globally organizations are experiencing higher expectations related to transparency and compliance, systems provide detailed companies visibility and analytics which can increase their process. Also, business operation support and long term sustainability which can combine technologies which will encourage companies to utilities the system properly.
Key Market Insights:
The Technology is actively being positioned to rate operational activity with the focus of reducing carbon emissions and initiative sustainability. Modern Technology programs like Structured process data there insight plays an important role in different bigger language models.
Market Drivers:
Advanced Technologies contribute to the market which leads to market growth.
As Technology is modifying, it leads to increase in resource allocation toward the capability of process mining and artificial intelligence. The benefit of these technologies opens real time analytics data and creates opportunities for the organization to show its potentials in their performance. Advanced Technology methods include machine learning and deep learning which deliver advantages to create larger data sets which can enhance business intelligence to generate more such events.
AI functions which are added in process mining software support advanced predictive analytics and optimization. With historic information and by identifying their pattern, which can forecast future process and their outcome to improve in the detect area and also can increase the strategies with the bata backed. This approach assists organizations to improve their efficiency which can lead to reducing their operational expenses and can increase their standards.
Robotic Processes contribute significantly in the market growth.
Organizations across different sectors are advancing their digital transformation which adopt the start initiative of automation technologies. There is a growing demand for solutions that increase productivity while simultaneously reducing capital and operational expenditures. The advanced pace of digitalization has strengthened the need for robotic process automation to improve efficiency and overall business performance.
Enterprises are increasingly combining RPA capabilities with process-focused software solutions to amplify automation outcomes. During RPA deployment, these platforms deliver valuable insights, including the identification of areas requiring process enhancement, strategic planning support, and performance evaluation metrics. Furthermore, RPA bots contribute to the documentation and visualization of workflows by capturing user activities, taking system screenshots, recording interactions, and automatically generating detailed process maps, thereby enabling improved process transparency and control.
Market Restraints and Challenges:
Concerns related to data privacy and systems present significant challenges to market growth.
Process mining solutions depend on access to extensive volumes of sensitive enterprise data, which creates significant concerns related to compliance with stringent data protection frameworks. Organizations must ensure that data handling practices align with regulatory standards, increasing the problem of deployment.
Moreover, the combination of these solutions with existing gift IT environments particularly within large deeds often presents technical and operational challenges. Break data holders, changing data structures, and limited coordination across systems can block smooth execution. These regulatory and technological hindrances may delay adoption timelines and the need for substantial investment in data governance frameworks and infrastructure improvement, thereby restraining overall market expansion, especially in highly regulated sectors.
Market Opportunities:
The integration of modern technologies generates new growth opportunities within the market.
The incorporation of advanced technologies into process mining solutions is creating significant expansion opportunities by reshaping the way organizations evaluate and improve their operational workflows. Modern Technology strengthens normal process mining capabilities by delivering on time visibility, visionary intelligence, and automated decision support. As a result, enterprises are better equipped to detect operational organisation while proactively identifying and mitigating potential risks before they escalate.
GLOBAL PROCESS MINING SOFTWARE MARKET
|
REPORT METRIC |
DETAILS |
|
Market Size Available |
2024 - 2030 |
|
Base Year |
2024 |
|
Forecast Period |
2025 - 2030 |
|
CAGR |
52.86% |
|
Segments Covered |
By Product, Type, Consumption, Distribution Channel and Region |
|
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
|
Regional Scope |
North America, Europe, APAC, Latin America, Middle East & Africa |
|
Key Companies Profiled |
Elantas GmbH (Germany), Axalta Coating Systems (the U.S.), Von Roll Holdings AG (Switzerland), Hitachi Chemicals Company Ltd. (Japan), 3M Company (the U.S.), and Kyocera Corporation (Japan) |
Market Segmentation:
Segmentation By Component:
The software segment accounted for the largest market share, largely carried by the growing demand for solutions that deliver detailed and actionable insights into organizational processes. These platforms assist enterprises in detecting neglect, mapping working workflows, and enhancing overall performance. Moreover, the blend of advanced technologies such as artificial intelligence and also automation strengthens their capabilities, positioning them as essential components of digital transformation strategies. The increasing preference for cloud based deployment models has further raised adoption, as they provide flexibility, and real-time visibility required in today’s dynamic business landscape.
The services segment is projected to witness substantial growth during the forecast period, driven by the expanding discharge of cloud enabled process mining platforms that require constant upgrades and feeding to ensure finest security and performance. Additionally, demand for professional services including consulting, training, and ongoing support continues to rise as organizations seek to fully hold the functionality and value of these solutions.
By Deployment:
The cloud segment is the dominant share of the market, primarily supported by its scalability, and cost-effectiveness. Cloud based platforms allow organizations to obtain real insights and oversee processes remotely, making them suitable for enterprises of varying sizes. Additionally, seamless integration with other cloud ecosystems and the provision of automatic updates contribute to improved operational performance. The growing emphasis on digital transformation strategies, coupled with the demand for secure and easily deployable solutions, has further accelerated the transition toward cloud-based implementations.
The on-premise segment is anticipated to register notable growth throughout the forecast period, largely driven by the increasing requirement for stronger data protection and greater control over sensitive business information. Large enterprises, particularly those operating in highly regulated sectors, often favor on-premise deployments to comply with strict regulatory standards. These solutions enable organizations to tailor the software to their specific operational needs while retaining full ownership of their infrastructure. Moreover, on-premise systems are preferred in settings with limited or unstable internet connectivity, ensuring consistent access to process mining capabilities and analytical tools.
By Application:
The transactional procurement segment accounted for the largest share of market expansion, primarily driven by the growing emphasis on optimizing purchase-to-pay cycles and minimizing operational inefficiencies. Process mining solutions support organizations in examining event logs, identifying process bottlenecks, and automating routine activities such as approval workflows and invoice reconciliation. By reducing manual involvement, enterprises can shorten cycle times, improve accuracy, and achieve cost efficiencies within procurement functions. Additionally, the integration of process mining platforms with supplier management systems enhances transparency, strengthens compliance, and promotes more effective collaboration, ultimately contributing to improved supplier relationships.
The category management segment is projected to experience considerable growth, supported by the increasing focus on operational excellence and the evolving dynamics of the retail sector. Retailers and consumer packaged goods (CPG) companies are increasingly adopting category management solutions to enhance planning and optimization activities, utilizing advanced analytics to gain insights into consumer preferences and market developments. This data-driven approach facilitates informed decision-making, improves operational productivity, and drives stronger overall category performance.
By Industry Vertical:
The BFSI segment maintained a leading position in the market, largely supported by the growing implementation of digital technologies aimed at improving operational performance and enhancing customer engagement. Financial institutions utilize process mining solutions to optimize workflows, detect operational gaps, and maintain adherence to regulatory requirements. By evaluating transactional data, banks are able to refine critical processes, including loan processing and fraud monitoring. Additionally, intensifying competition among financial service providers has increased the demand for advanced analytical Tools that strengthen decision-making capabilities and enable the delivery of tailored customer experiences.
The consumer goods and services segment is projected to register the highest growth rate during the forecast period, driven by the increasing need to enhance efficiency across supply chain and customer service functions. Process mining solutions assist organizations in identifying inefficiencies within order management and returns processes, thereby improving overall customer satisfaction. Furthermore, the ongoing focus on digital transformation initiatives, along with the adoption of automation technologies, continues to support the expanding use of process mining within this industry vertical.
Market Segmentation: Regional Analysis:
The Europe process mining software market held a leading position globally, supported by the region’s accelerated adoption of digital transformation and automation initiatives. Organizations across Europe are increasingly implementing process mining solutions to strengthen operational efficiency, meet stringent regulatory requirements, and enhance customer engagement. The presence of prominent industry participants, along with government-backed programs promoting digital innovation, further contributes to market expansion. Additionally, sectors including manufacturing, BFSI, and retail are utilizing process mining technologies to streamline workflows, reduce operational expenditures, and sustain competitiveness in a rapidly evolving business environment.
The United Kingdom process mining software market represented the largest share within Europe, primarily driven by the growing demand for advanced analytics to optimize organizational processes. Enterprises across industries such as finance, healthcare, and logistics are deploying these platforms to improve compliance standards and support informed decision-making. The increasing integration of artificial intelligence and machine learning capabilities into process mining tools has further strengthened adoption. Moreover, the United Kingdom’s well-established technological infrastructure and strong focus on innovation create a conducive landscape for organizations seeking operational excellence through digital solutions.
The Asia Pacific process mining software market is anticipated to register the highest growth rate during the forecast period, fueled by rising investments in cloud infrastructure and widespread digital transformation efforts. Countries across the region are implementing process mining technologies to enhance process governance and improve resource allocation. The growing presence of startups and small and medium-sized enterprises adopting cost-effective cloud-based platforms also supports market development. Furthermore, industries such as manufacturing and retail are leveraging these solutions to optimize supply chain performance and effectively address increasing consumer demand.
COVID-19 Impact Analysis:
The COVID-19 pandemic prompted numerous enterprises to transition from on-premise infrastructures to cloud-based environments, thereby accelerating the growth of the process mining software market. Organizations undergoing digital transformation generally encounter three primary shifts: modifications to their business models, expansion or redefinition of product and service portfolios, and restructuring of their value chains. Consequently, the ongoing digital evolution has compelled businesses to reassess existing processes and implement necessary improvements to strengthen operational efficiency and elevate customer experience.
Latest Market News:
In November 2024, QPR Software announced the launch of QPR ProcessAnalyzer as a native application on the Snowflake Marketplace. This development enables customers to implement process mining capabilities directly within their Snowflake environment within minutes, eliminating the need for complex procurement procedures or extensive system integrations. The fully cloud-based solution delivers real-time analytics, enhanced security management, and a flexible pay-as-you-go pricing structure, thereby simplifying adoption and improving operational efficiency.
Latest Trends and Developments:
Organizations across diverse industries are accelerating their digital transformation initiatives through the adoption of automation technologies. They are actively seeking solutions that enhance operational productivity while minimizing capital expenditure. This increasing momentum has significantly driven the demand for robotic process automation (RPA) to strengthen efficiency and overall performance.
Furthermore, enterprises are integrating RPA with process mining software to amplify the value of automation initiatives. During RPA implementation, the software delivers actionable insights, including the identification of process improvement opportunities, strategic optimization areas, and performance enhancement measures. This integrated approach enables organizations to achieve more informed decision-making and sustainable operational improvements.
Key Players in the Market:
ABBYY Solutions Limited
Fluxicon BV
myInvenio, an IBM Company
Celonis GmbH
Signavio
Hyland Software, Inc.
UiPath, Inc.
QPR Software Plc
Software AG
Chapter 1. GLOBAL PROCESS MINING SOFTWARE MARKET – Scope & Methodology
1.1. Market Segmentation
1.2. Scope, Assumptions & Limitations
1.3. Research Methodology
1.4. Primary Sources
1.5. Secondary Sources
Chapter 2. GLOBAL PROCESS MINING SOFTWARE MARKET – Executive Summary
2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2. Key Trends & Insights
2.2.1. Demand Side
2.2.2. Supply Side
2.4. Attractive Investment Propositions
2.5. COVID-19 Impact Analysis
Chapter 3. GLOBAL PROCESS MINING SOFTWARE MARKET – Competition Scenario
3.1. Market Share Analysis & Company Benchmarking
3.2. Competitive Strategy & Development Scenario
3.3. Competitive Pricing Analysis
3.4. Supplier-Distributor Analysis
Chapter 4. GLOBAL PROCESS MINING SOFTWARE MARKET - Entry Scenario
4.1. Regulatory Scenario
4.2. Case Studies – Key Start-ups
4.3. Customer Analysis
4.5. PESTLE Analysis
4.4. Porters Five Force Model
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Powers of Customers
4.4.3. Threat of New Entrants
4.4.4. Rivalry among Existing Players
4.4.5. Threat of Substitutes
Chapter 5. GLOBAL PROCESS MINING SOFTWARE MARKET - Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Market Drivers
5.3. Market Restraints/Challenges
5.4. Market Opportunities
Chapter 6. GLOBAL PROCESS MINING SOFTWARE MARKET – By Deployment
On-Premises
• Cloud
Chapter 7. GLOBAL PROCESS MINING SOFTWARE MARKET - By Organisation Size
• Large Enterprises
• Small & Medium Enterprises
Chapter 8. GLOBAL PROCESS MINING SOFTWARE MARKET – By Component
Software
• Services
Chapter 9. GLOBAL PROCESS MINING SOFTWARE MARKET – Market Size, Forecast, Trends & Insights
9.1. North America
9.1.1. By Country
9.1.1.1. U.S.A.
9.1.1.2. Canada
9.1.1.3. Mexico
9.1.2. By Type of Acrylic Resin
9.1.3. By Product Form
9.1.4. By Application
9.1.5. Countries & Segments - Market Attractiveness Analysis
9.2. Europe
9.2.1. By Country
9.2.1.1. U.K.
9.2.1.2. Germany
9.2.1.3. France
9.2.1.4. Italy
9.2.1.5. Spain
9.2.1.6. Rest of Europe
9.2.2. By Type of Acrylic Resin
9.2.3. By Product Form
9.2.4. By Application
9.2.5. Countries & Segments - Market Attractiveness Analysis
9.3. Asia Pacific
9.3.1. By Country
9.3.1.1. China
9.3.1.2. Japan
9.3.1.3. South Korea
9.3.1.4. India
9.3.1.5. Australia & New Zealand
9.3.1.6. Rest of Asia-Pacific
9.3.2. By Type of Acrylic Resin
9.3.3. By Product Form
9.3.4. By Application
9.3.5. Countries & Segments - Market Attractiveness Analysis
9.4. South America
9.4.1. By Country
9.4.1.1. Brazil
9.4.1.2. Argentina
9.4.1.3. Colombia
9.4.1.4. Chile
9.4.1.5. Rest of South America
9.4.2. By Type of Acrylic Resin
9.4.3. By Product Form
9.4.4. By Application
9.4.5. Countries & Segments - Market Attractiveness Analysis
9.5. Middle East & Africa
9.5.1. By Country
9.5.1.1. United Arab Emirates (UAE)
9.5.1.2. Saudi Arabia
9.5.1.3. Qatar
9.5.1.4. Israel
9.5.1.5. South Africa
9.5.1.6. Nigeria
9.5.1.7. Kenya
9.5.1.8. Egypt
9.5.1.9. Rest of MEA
9.5.2. By Type of Acrylic Resin
9.5.3. By Product Form
9.5.4. By Application
9.5.5. Countries & Segments - Market Attractiveness Analysis
Chapter 10. GLOBAL PROCESS MINING SOFTWARE MARKET – Company Profiles – (Overview, Product Portfolio, Financials, Strategies & Developments)
ABBYY Solutions Limited
Fluxicon BV
myInvenio, an IBM Company
Celonis GmbH
Signavio
Hyland Software, Inc.
UiPath, Inc.
QPR Software Plc
Software AG
2500
4250
5250
6900
Frequently Asked Questions
Advanced Technologies contribute to the market which leads to market growth.
Concerns related to data privacy and systems present significant challenges to market
Key players include ABBYY Solutions Limited, Fluxicon BV, myInvenio, and an IBM Company.
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