The North America Predictive Retail Analytics Market is expected to witness market growth of 32.3% CAGR during the forecast period (2024-2031).
The US market dominated the North America 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 $4.35 billion by 2031. The Canada market is experiencing a CAGR of 35.2% during 2024-2031. Additionally, the Mexico market would exhibit a CAGR of 34.1% during 2024-2031.
Predictive retail analytics is a data-driven methodology that employs machine learning techniques, statistical algorithms, and historical data to anticipate future trends, behaviors, and events in the retail sector. It enables retailers to identify patterns and trends by analyzing immense amounts of data from a variety of sources, such as sales records, consumer interactions, and online behaviors.
Additionally, these valuable insights enable businesses to make well-informed decisions regarding their operations, including inventory management, demand forecasting, marketing strategies, and personalized customer experiences.
The proliferation of online purchasing and the growing demand for data-driven insights are the primary factors driving the substantial expansion of the North American predictive retail analytics market. According to the U.S. Census Bureau, e-commerce sales in the United States reached $815.4 billion in 2020, representing a 43% increase from $571.2 billion in 2019. This surge in e-commerce has led to a rising need for analytics solutions that help retailers optimize inventory, forecast demand, and enhance customer targeting.
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 US market dominated the North America 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 $4.35 billion by 2031. The Canada market is experiencing a CAGR of 35.2% during 2024-2031. Additionally, the Mexico market would exhibit a CAGR of 34.1% during 2024-2031.
Predictive retail analytics is a data-driven methodology that employs machine learning techniques, statistical algorithms, and historical data to anticipate future trends, behaviors, and events in the retail sector. It enables retailers to identify patterns and trends by analyzing immense amounts of data from a variety of sources, such as sales records, consumer interactions, and online behaviors.
Additionally, these valuable insights enable businesses to make well-informed decisions regarding their operations, including inventory management, demand forecasting, marketing strategies, and personalized customer experiences.
The proliferation of online purchasing and the growing demand for data-driven insights are the primary factors driving the substantial expansion of the North American predictive retail analytics market. According to the U.S. Census Bureau, e-commerce sales in the United States reached $815.4 billion in 2020, representing a 43% increase from $571.2 billion in 2019. This surge in e-commerce has led to a rising need for analytics solutions that help retailers optimize inventory, forecast demand, and enhance customer targeting.
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
- US
- Canada
- Mexico
- Rest of North America
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. North America Predictive Retail Analytics Market by Application
Chapter 6. North America Predictive Retail Analytics Market by Enterprise Size
Chapter 7. North America Predictive Retail Analytics Market by Component
Chapter 8. North America Predictive Retail Analytics Market by Deployment Type
Chapter 9. North America Predictive Retail Analytics Market by Business Function
Chapter 10. North America 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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