The Latin America, Middle East and Africa Predictive Retail Analytics Market is expected to witness market growth of 36.0% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Predictive Retail Analytics Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $394.8 million by 2031. The Argentina market is showcasing a CAGR of 37.8% during 2024-2031. Additionally, the UAE market would register a CAGR of 34.8% during 2024-2031.
Mobile commerce has transformed retail, with consumers increasingly using smartphones and tablets for shopping. This shift has generated vast data, including customer behaviors, browsing patterns, and transaction histories. Predictive analytics helps retailers analyze this data to uncover insights into mobile shopping trends and optimize user experiences.
Additionally, companies like Zara and Sephora use predictive models to understand user navigation within their apps and to send targeted promotions, resulting in smoother user experience and increased sales. These insights also enable personalization, allowing retailers to suggest products based on past behavior, enhancing customer satisfaction, and driving repeat purchases.
Governments across the LAMEA region recognizes the immense economic potential of e-commerce. They are implementing policies to support online retail, thereby driving the growth of the predictive retail analytics market. Expanding mobile internet access and supportive government initiatives have created an ideal environment for predictive analytics to thrive.
As digital commerce expands, regional retailers increasingly turn to predictive analytics to better understand consumer behavior, optimize marketing strategies, and enhance product offerings. Predictive analytics helps retailers make sense of the vast data generated by online transactions, offering valuable insights that allow them to engage more effectively with consumers and maximize their revenue potential.
Based on Application, the market is segmented into Inventory Analysis, Customer Management, Pricing Analysis, Performance Analysis, Merchandising Analysis, and Other Application. Based on Enterprise Size, the market is segmented into Large Enterprises, and SMEs. Based on Component, the market is segmented into Software, and Services (Consulting Services, Deployment & Integration Services, Support & Maintenance Services, and Training & Education Services).
The Brazil market dominated the LAMEA Predictive Retail Analytics Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $394.8 million by 2031. The Argentina market is showcasing a CAGR of 37.8% during 2024-2031. Additionally, the UAE market would register a CAGR of 34.8% during 2024-2031.
Mobile commerce has transformed retail, with consumers increasingly using smartphones and tablets for shopping. This shift has generated vast data, including customer behaviors, browsing patterns, and transaction histories. Predictive analytics helps retailers analyze this data to uncover insights into mobile shopping trends and optimize user experiences.
Additionally, companies like Zara and Sephora use predictive models to understand user navigation within their apps and to send targeted promotions, resulting in smoother user experience and increased sales. These insights also enable personalization, allowing retailers to suggest products based on past behavior, enhancing customer satisfaction, and driving repeat purchases.
Governments across the LAMEA region recognizes the immense economic potential of e-commerce. They are implementing policies to support online retail, thereby driving the growth of the predictive retail analytics market. Expanding mobile internet access and supportive government initiatives have created an ideal environment for predictive analytics to thrive.
As digital commerce expands, regional retailers increasingly turn to predictive analytics to better understand consumer behavior, optimize marketing strategies, and enhance product offerings. Predictive analytics helps retailers make sense of the vast data generated by online transactions, offering valuable insights that allow them to engage more effectively with consumers and maximize their revenue potential.
Based on Application, the market is segmented into Inventory Analysis, Customer Management, Pricing Analysis, Performance Analysis, Merchandising Analysis, and Other Application. Based on Enterprise Size, the market is segmented into Large Enterprises, and SMEs. Based on Component, the market is segmented into Software, and Services (Consulting Services, Deployment & Integration Services, Support & Maintenance Services, and Training & Education Services).
List of Key Companies Profiled
- IBM Corporation
- Oracle Corporation
- SAP SE
- Microsoft Corporation
- SAS Institute Inc.
- NTT Data Corporation
- TIBCO Software, Inc. (Vista Equity Partners Management, LLC)
- Salesforce, Inc.
- Alteryx, Inc.
- Fair Isaac Corporation (FICO)
Market Report Segmentation
By Application
- Inventory Analysis
- Customer Management
- Pricing Analysis
- Performance Analysis
- Merchandising Analysis
- Other Application
By Enterprise Size
- Large Enterprises
- SMEs
By Component
- Software
- Services
- Consulting Services
- Deployment & Integration Services
- Support & Maintenance Services
- Training & Education Services
By Deployment Type
- Cloud-based
- On-Premise
- Hybrid
By Business Function
- Supply Chain Management
- Sales & Marketing
- Strategy & Planning
- In-store Operations
- Human Resource
- Other Business Function
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 Predictive Retail Analytics Market by Application
Chapter 6. LAMEA Predictive Retail Analytics Market by Enterprise Size
Chapter 7. LAMEA Predictive Retail Analytics Market by Component
Chapter 8. LAMEA Predictive Retail Analytics Market by Deployment Type
Chapter 9. LAMEA Predictive Retail Analytics Market by Business Function
Chapter 10. LAMEA Predictive Retail Analytics Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- IBM Corporation
- Oracle Corporation
- SAP SE
- Microsoft Corporation
- SAS Institute Inc.
- NTT Data Corporation
- TIBCO Software, Inc. (Vista Equity Partners Management, LLC)
- Salesforce, Inc.
- Alteryx, Inc.
- Fair Isaac Corporation (FICO)
Methodology
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