Process Mining

Global Process Mining Market to Reach US$23.3 Billion by 2030

The global market for Process Mining estimated at US$3.1 Billion in the year 2024, is expected to reach US$23.3 Billion by 2030, growing at a CAGR of 40.3% over the analysis period 2024-2030. Process Mining Software, one of the segments analyzed in the report, is expected to record a 36.2% CAGR and reach US$13.9 Billion by the end of the analysis period. Growth in the Process Mining Services segment is estimated at 48.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$804.2 Million While China is Forecast to Grow at 38.3% CAGR

The Process Mining market in the U.S. is estimated at US$804.2 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$3.5 Billion by the year 2030 trailing a CAGR of 38.3% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 36.0% and 35.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 27.7% CAGR.

Global Process Mining Market – Key Trends & Drivers Summarized

Why Is Process Mining Becoming a Game-Changer for Business Optimization?

Process mining has emerged as a transformative technology for organizations looking to optimize operations, enhance efficiency, and improve decision-making. By leveraging event logs from enterprise IT systems such as ERP, CRM, and BPM platforms, process mining provides a data-driven approach to analyzing business processes in real time. Unlike traditional process mapping, which relies on manual workflows and subjective assessments, process mining uncovers actual process flows, highlighting inefficiencies, deviations, and bottlenecks. Industries such as finance, manufacturing, healthcare, and logistics are increasingly adopting process mining to enhance process transparency, identify automation opportunities, and drive operational excellence. With the growing complexity of digital transformation, businesses are using process mining to gain actionable insights, reduce operational costs, and ensure compliance with industry regulations. The ability to provide a clear, fact-based view of how processes function has positioned process mining as a critical tool for organizations striving to maximize efficiency and agility in a competitive landscape.

What Challenges Are Hindering the Widespread Adoption of Process Mining?

Despite its benefits, process mining faces several challenges that impact its adoption across industries. One of the key obstacles is data quality and integration, as process mining relies on accurate and structured event logs, which may not always be available or standardized across different IT systems. Many enterprises struggle with legacy systems that lack proper data extraction capabilities, making it difficult to implement process mining effectively. Additionally, the high initial investment in software, data infrastructure, and skilled personnel can be a deterrent for small and mid-sized businesses. Privacy and data security concerns also pose a challenge, as process mining tools must access sensitive operational data, requiring robust cybersecurity measures and compliance with data protection regulations. Another barrier is resistance to change within organizations, as employees may be hesitant to adopt process mining due to fears of increased scrutiny or job displacement. Addressing these challenges requires continuous investment in user-friendly solutions, enhanced data governance, and effective change management strategies to drive adoption.

How Are AI and Automation Revolutionizing Process Mining?

The integration of artificial intelligence and automation is significantly enhancing the capabilities of process mining, making it more intelligent, predictive, and actionable. AI-driven process mining tools can analyze large datasets faster, detect patterns, and provide automated recommendations for process optimization. The emergence of hyperautomation, which combines process mining with robotic process automation (RPA), is enabling businesses to not only identify inefficiencies but also implement real-time workflow automation without manual intervention. Predictive analytics is further improving process mining by forecasting potential bottlenecks and suggesting proactive solutions. Additionally, AI-powered natural language processing (NLP) is making process mining more accessible to non-technical users, allowing business leaders to interpret complex process insights through simple queries. The rise of cloud-based process mining platforms is also improving scalability and flexibility, enabling enterprises to analyze and optimize processes across global operations. As AI and automation technologies continue to evolve, process mining is becoming a core component of digital transformation strategies, enabling organizations to achieve continuous process improvement.

What Is Driving the Growth of the Process Mining Market?

The growth in the process mining market is driven by several factors, including increasing demand for operational efficiency, the expansion of digital transformation initiatives, and advancements in AI-powered analytics. Businesses across all industries are prioritizing process visibility and optimization to enhance productivity, reduce waste, and improve compliance. The growing adoption of process mining in finance and banking for fraud detection and risk management is also contributing to market expansion. Additionally, the rise of cloud computing and the increasing integration of process mining with enterprise IT systems are making these solutions more accessible and scalable. Government regulations and industry compliance requirements are further driving adoption, as organizations seek process mining tools to ensure audit readiness and regulatory adherence. The expansion of process mining use cases beyond traditional business process optimization—such as supply chain management, customer experience enhancement, and HR workflow automation—is also fueling market growth. As businesses continue to embrace data-driven decision-making, the process mining market is expected to witness substantial growth, transforming the way enterprises manage and optimize their operations.

SCOPE OF STUDY:

The report analyzes the Process Mining market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Offering Type (Process Mining Software, Process Mining Services); Architecture Type (Information Systems Architecture, Event Log Data Pre-Processing Architecture, Process Map Creation Architecture, Insight Generation Architecture); Data Source (Enterprise Resource Planning Systems, Customer Relationship Management Systems, IoT Devices & Sensors, Custom Applications & Databases, Workflow & BPM Systems, Document Management Systems, Supply Chain & Logistics Data Source, Financial Systems Data Source, Other Data Sources); Mining Algorithm (Discovery Algorithms, Conformance Checking Algorithms, Enhancement & Extension Algorithm, Clustering & Classification Algorithms, Sequence Analysis Algorithms, Deep Learning Algorithm, Temporal Process Mining Algorithms, Other Mining Algorithms)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 42 Featured) -

• ABBYY (Timeline)
• Appian Corporation
• Apromore
• Automation Anywhere
• Bizagi
• Bonitasoft
• Celonis
• Fluxicon (Disco)
• IBM Corporation
• iGrafx
• KYP.ai
• Microsoft Corporation
• Minit
• Pega Systems
• QPR Software Plc
• SAP Signavio
• Signavio (acquired by SAP)
• Skan.ai
• Software AG (ARIS)
• UiPath

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!

APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA
CHINA
MEXICO
CANADA
EU
JAPAN
INDIA
176 OTHER COUNTRIES.

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