The Latin America, Middle East and Africa Process Mining Software Market is expected to witness market growth of 58.3% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Process Mining Software Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $612.7 million by 2031. The Argentina market is showcasing a CAGR of 60.4% during 2024-2031. Additionally, the UAE market would register a CAGR of 56.7% during 2024-2031.
Several trends are shaping the trajectory of the market, reflecting both technological advancements and evolving business needs. A prominent trend is the integration of AI and ML, which enhances process mining’s analytical power. According to the International Trade Administration, the global AI industry is thriving. In 2021, AI funding doubled to $66.8 billion, and a record 65 AI companies reached $1B+ valuations, up 442% from the previous year.
Another trend is the shift to cloud-based solutions, which offer scalability, flexibility, and cost-efficiency. This aligns with the broader move toward cloud computing, enabling real-time process monitoring across distributed workforces - a necessity in the hybrid work era. Concurrently, hyper-automation - the convergence of process mining, RPA, and AI - is gaining traction, promising end-to-end automation of complex workflows.
Organizations worldwide are adopting digital transformation projects to optimize business processes, improve productivity, and reduce costs, which is why process mining software is steadily gathering momentum. Saudi Arabia’s government has actively invested in its transportation and logistics sector to bolster economic diversification under Vision 2030. In addition, the UAE has positioned itself as the fintech leader in the MENA region, reaching a record-high investment of USD 2.5 billion by 2022. The world’s largest financial institutions continue to invest in fintech solutions, focusing on payments, capital markets, and cybersecurity. Moreover, Brazil’s government is taking substantial steps toward digital industrial transformation through the Brazil Semicon Act and the New Industry Brazil initiative. In conclusion, Saudi Arabia, the UAE, and Brazil pour cash into transport, fintech, and digital industry upgrades. This sets the stage for process mining software to shine.
The Brazil market dominated the LAMEA Process Mining Software Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $612.7 million by 2031. The Argentina market is showcasing a CAGR of 60.4% during 2024-2031. Additionally, the UAE market would register a CAGR of 56.7% during 2024-2031.
Several trends are shaping the trajectory of the market, reflecting both technological advancements and evolving business needs. A prominent trend is the integration of AI and ML, which enhances process mining’s analytical power. According to the International Trade Administration, the global AI industry is thriving. In 2021, AI funding doubled to $66.8 billion, and a record 65 AI companies reached $1B+ valuations, up 442% from the previous year.
Another trend is the shift to cloud-based solutions, which offer scalability, flexibility, and cost-efficiency. This aligns with the broader move toward cloud computing, enabling real-time process monitoring across distributed workforces - a necessity in the hybrid work era. Concurrently, hyper-automation - the convergence of process mining, RPA, and AI - is gaining traction, promising end-to-end automation of complex workflows.
Organizations worldwide are adopting digital transformation projects to optimize business processes, improve productivity, and reduce costs, which is why process mining software is steadily gathering momentum. Saudi Arabia’s government has actively invested in its transportation and logistics sector to bolster economic diversification under Vision 2030. In addition, the UAE has positioned itself as the fintech leader in the MENA region, reaching a record-high investment of USD 2.5 billion by 2022. The world’s largest financial institutions continue to invest in fintech solutions, focusing on payments, capital markets, and cybersecurity. Moreover, Brazil’s government is taking substantial steps toward digital industrial transformation through the Brazil Semicon Act and the New Industry Brazil initiative. In conclusion, Saudi Arabia, the UAE, and Brazil pour cash into transport, fintech, and digital industry upgrades. This sets the stage for process mining software to shine.
List of Key Companies Profiled
- SAP SE (Signavio GmbH)
- Fujitsu Limited
- Software AG
- UiPath, Inc.
- Hyland Software, Inc.
- Kofax, Inc. (Thoma Bravo LLC)
- Apromore Pty. Ltd.
- IBM Corporation
- ABBYY Solutions Limited
- Celonis GmbH
Market Report Segmentation
By Deployment
- Cloud-based
- On-Premise
By Enterprise Type
- Large Enterprises
- SMEs
By Component
- Software
- Services
By Industry Vertical
- BFSI
- Manufacturing
- IT & Telecommunication
- Healthcare
- Retail
- Logistics & Transportation
- Other Industry Vertical
By Application
- Business Process Improvement
- Digital Transformation
- Auditing & Compliance
- Order Management
- Customer Satisfaction
- Other Application
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA Process Mining Software Market by Deployment
Chapter 6. LAMEA Process Mining Software Market by Enterprise Type
Chapter 7. LAMEA Process Mining Software Market by Component
Chapter 8. LAMEA Process Mining Software Market by Industry Vertical
Chapter 9. LAMEA Process Mining Software Market by Application
Chapter 10. LAMEA Process Mining Software Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- SAP SE (Signavio GmbH)
- Fujitsu Limited
- Software AG
- UiPath, Inc.
- Hyland Software, Inc.
- Kofax, Inc. (Thoma Bravo LLC)
- Apromore Pty. Ltd.
- IBM Corporation
- ABBYY Solutions Limited
- Celonis GmbH
Methodology
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