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LAMEA Predictive Retail Analytics Market Size, Share & Trends Analysis Report By Application, By Enterprise Size, By Component, By Deployment Type, By Business Function, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 174 Pages
  • October 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025618
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).

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
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Predictive Retail Analytics Market, by Application
1.4.2 LAMEA Predictive Retail Analytics Market, by Enterprise Size
1.4.3 LAMEA Predictive Retail Analytics Market, by Component
1.4.4 LAMEA Predictive Retail Analytics Market, by Deployment Type
1.4.5 LAMEA Predictive Retail Analytics Market, by Business Function
1.4.6 LAMEA Predictive Retail Analytics Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, Jun - 2024, Aug) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. LAMEA Predictive Retail Analytics Market by Application
5.1 LAMEA Inventory Analysis Market by Country
5.2 LAMEA Customer Management Market by Country
5.3 LAMEA Pricing Analysis Market by Country
5.4 LAMEA Performance Analysis Market by Country
5.5 LAMEA Merchandising Analysis Market by Country
5.6 LAMEA Other Application Market by Country
Chapter 6. LAMEA Predictive Retail Analytics Market by Enterprise Size
6.1 LAMEA Large Enterprises Market by Country
6.2 LAMEA SMEs Market by Country
Chapter 7. LAMEA Predictive Retail Analytics Market by Component
7.1 LAMEA Software Market by Country
7.2 LAMEA Services Market by Country
7.3 LAMEA Predictive Retail Analytics Market by Services Type
7.3.1 LAMEA Consulting Services Market by Country
7.3.2 LAMEA Deployment & Integration Services Market by Country
7.3.3 LAMEA Support & Maintenance Services Market by Country
7.3.4 LAMEA Training & Education Services Market by Country
Chapter 8. LAMEA Predictive Retail Analytics Market by Deployment Type
8.1 LAMEA Cloud-based Market by Country
8.2 LAMEA On-Premise Market by Country
8.3 LAMEA Hybrid Market by Country
Chapter 9. LAMEA Predictive Retail Analytics Market by Business Function
9.1 LAMEA Supply Chain Management Market by Country
9.2 LAMEA Sales & Marketing Market by Country
9.3 LAMEA Strategy & Planning Market by Country
9.4 LAMEA In-store Operations Market by Country
9.5 LAMEA Human Resource Market by Country
9.6 LAMEA Other Business Function Market by Country
Chapter 10. LAMEA Predictive Retail Analytics Market by Country
10.1 Brazil Predictive Retail Analytics Market
10.1.1 Brazil Predictive Retail Analytics Market by Application
10.1.2 Brazil Predictive Retail Analytics Market by Enterprise Size
10.1.3 Brazil Predictive Retail Analytics Market by Component
10.1.3.1 Brazil Predictive Retail Analytics Market by Services Type
10.1.4 Brazil Predictive Retail Analytics Market by Deployment Type
10.1.5 Brazil Predictive Retail Analytics Market by Business Function
10.2 Argentina Predictive Retail Analytics Market
10.2.1 Argentina Predictive Retail Analytics Market by Application
10.2.2 Argentina Predictive Retail Analytics Market by Enterprise Size
10.2.3 Argentina Predictive Retail Analytics Market by Component
10.2.3.1 Argentina Predictive Retail Analytics Market by Services Type
10.2.4 Argentina Predictive Retail Analytics Market by Deployment Type
10.2.5 Argentina Predictive Retail Analytics Market by Business Function
10.3 UAE Predictive Retail Analytics Market
10.3.1 UAE Predictive Retail Analytics Market by Application
10.3.2 UAE Predictive Retail Analytics Market by Enterprise Size
10.3.3 UAE Predictive Retail Analytics Market by Component
10.3.3.1 UAE Predictive Retail Analytics Market by Services Type
10.3.4 UAE Predictive Retail Analytics Market by Deployment Type
10.3.5 UAE Predictive Retail Analytics Market by Business Function
10.4 Saudi Arabia Predictive Retail Analytics Market
10.4.1 Saudi Arabia Predictive Retail Analytics Market by Application
10.4.2 Saudi Arabia Predictive Retail Analytics Market by Enterprise Size
10.4.3 Saudi Arabia Predictive Retail Analytics Market by Component
10.4.3.1 Saudi Arabia Predictive Retail Analytics Market by Services Type
10.4.4 Saudi Arabia Predictive Retail Analytics Market by Deployment Type
10.4.5 Saudi Arabia Predictive Retail Analytics Market by Business Function
10.5 South Africa Predictive Retail Analytics Market
10.5.1 South Africa Predictive Retail Analytics Market by Application
10.5.2 South Africa Predictive Retail Analytics Market by Enterprise Size
10.5.3 South Africa Predictive Retail Analytics Market by Component
10.5.3.1 South Africa Predictive Retail Analytics Market by Services Type
10.5.4 South Africa Predictive Retail Analytics Market by Deployment Type
10.5.5 South Africa Predictive Retail Analytics Market by Business Function
10.6 Nigeria Predictive Retail Analytics Market
10.6.1 Nigeria Predictive Retail Analytics Market by Application
10.6.2 Nigeria Predictive Retail Analytics Market by Enterprise Size
10.6.3 Nigeria Predictive Retail Analytics Market by Component
10.6.3.1 Nigeria Predictive Retail Analytics Market by Services Type
10.6.4 Nigeria Predictive Retail Analytics Market by Deployment Type
10.6.5 Nigeria Predictive Retail Analytics Market by Business Function
10.7 Rest of LAMEA Predictive Retail Analytics Market
10.7.1 Rest of LAMEA Predictive Retail Analytics Market by Application
10.7.2 Rest of LAMEA Predictive Retail Analytics Market by Enterprise Size
10.7.3 Rest of LAMEA Predictive Retail Analytics Market by Component
10.7.3.1 Rest of LAMEA Predictive Retail Analytics Market by Services Type
10.7.4 Rest of LAMEA Predictive Retail Analytics Market by Deployment Type
10.7.5 Rest of LAMEA Predictive Retail Analytics Market by Business Function
Chapter 11. Company Profiles
11.1 IBM Corporation
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Regional & Segmental Analysis
11.1.4 Research & Development Expenses
11.1.5 Recent strategies and developments:
11.1.5.1 Partnerships, Collaborations, and Agreements:
11.1.5.2 Product Launches and Product Expansions:
11.1.5.3 Acquisition and Mergers:
11.1.6 SWOT Analysis
11.2 Microsoft Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Segmental and Regional Analysis
11.2.4 Research & Development Expenses
11.2.5 Recent strategies and developments:
11.2.5.1 Product Launches and Product Expansions:
11.2.5.2 Partnerships, Collaborations, and Agreements:
11.2.6 SWOT Analysis
11.3 Oracle Corporation
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental and Regional Analysis
11.3.4 Research & Development Expense
11.3.5 Recent strategies and developments:
11.3.5.1 Product Launches and Product Expansions:
11.3.6 SWOT Analysis
11.4 SAP SE
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Regional Analysis
11.4.4 Research & Development Expense
11.4.5 Recent strategies and developments:
11.4.5.1 Product Launches and Product Expansions:
11.4.5.2 Acquisition and Mergers:
11.4.6 SWOT Analysis
11.5 SAS Institute, Inc.
11.5.1 Company Overview
11.5.2 Recent strategies and developments:
11.5.2.1 Partnerships, Collaborations, and Agreements:
11.5.3 SWOT Analysis
11.6 Salesforce, Inc.
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Regional Analysis
11.6.4 Research & Development Expenses
11.6.5 Recent strategies and developments:
11.6.5.1 Partnerships, Collaborations, and Agreements:
11.6.5.2 Product Launches and Product Expansions:
11.6.6 SWOT Analysis
11.7 NTT Data Corporation
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Recent strategies and developments:
11.7.3.1 Partnerships, Collaborations, and Agreements:
11.8 Tibco Software, Inc. (Vista Equity Partners Management, LLC)
11.8.1 Company Overview
11.8.2 Recent strategies and developments:
11.8.2.1 Product Launches and Product Expansions:
11.8.2.2 Acquisition and Mergers:
11.8.3 SWOT Analysis
11.9 Alteryx, Inc.
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Research & Development Expenses
11.9.4 Recent strategies and developments:
11.9.4.1 Partnerships, Collaborations, and Agreements:
11.9.4.2 Product Launches and Product Expansions:
11.9.5 SWOT Analysis
11.10. Fair Isaac Corporation (FICO)
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Segmental and Regional Analysis
11.10.4 Research & Development Expenses
11.10.5 Recent strategies and developments:
11.10.5.1 Partnerships, Collaborations, and Agreements:

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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