The Asia Pacific Predictive Retail Analytics Market is expected to witness market growth of 34.2% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific 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 $1.30 billion by 2031. The Japan market is registering a CAGR of 33.4% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 35.2% during 2024-2031.
As the retail sector becomes increasingly dependent on data-driven decision-making, predictive analytics are in high demand. Retailers increasingly adopt a data-centric approach to their operations, using insights from predictive models to guide strategic decisions. This shift towards data-driven decision-making is driven by the recognition that better insights lead to better outcomes.
Additionally, predictive analytics allows retailers to move beyond traditional methods of decision-making, which often rely on intuition or past experiences, and instead base their strategies on concrete data. This enables them to respond more quickly to market conditions, customer preferences, and competitive pressures, ultimately improving business performance.
The predictive retail analytics market in the Asia Pacific region is expanding rapidly and is driven by growing e-commerce adoption, increasing digital transformation, and supportive government initiatives. With growing disposable incomes, the region’s expanding middle class, particularly in economies such as China and India, has significantly increased online purchasing.
This growth fuels demand for advanced analytics solutions that help retailers optimize operations, forecast demand, and understand consumer behavior. The market in the region is diverse, featuring a range of online retailers, from large multinational corporations to local startups, each requiring predictive analytics tools that are flexible and scalable to meet the varied needs of businesses.
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 China market dominated the Asia Pacific 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 $1.30 billion by 2031. The Japan market is registering a CAGR of 33.4% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 35.2% during 2024-2031.
As the retail sector becomes increasingly dependent on data-driven decision-making, predictive analytics are in high demand. Retailers increasingly adopt a data-centric approach to their operations, using insights from predictive models to guide strategic decisions. This shift towards data-driven decision-making is driven by the recognition that better insights lead to better outcomes.
Additionally, predictive analytics allows retailers to move beyond traditional methods of decision-making, which often rely on intuition or past experiences, and instead base their strategies on concrete data. This enables them to respond more quickly to market conditions, customer preferences, and competitive pressures, ultimately improving business performance.
The predictive retail analytics market in the Asia Pacific region is expanding rapidly and is driven by growing e-commerce adoption, increasing digital transformation, and supportive government initiatives. With growing disposable incomes, the region’s expanding middle class, particularly in economies such as China and India, has significantly increased online purchasing.
This growth fuels demand for advanced analytics solutions that help retailers optimize operations, forecast demand, and understand consumer behavior. The market in the region is diverse, featuring a range of online retailers, from large multinational corporations to local startups, each requiring predictive analytics tools that are flexible and scalable to meet the varied needs of businesses.
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
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
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. Asia Pacific Predictive Retail Analytics Market by Application
Chapter 6. Asia Pacific Predictive Retail Analytics Market by Enterprise Size
Chapter 7. Asia Pacific Predictive Retail Analytics Market by Component
Chapter 8. Asia Pacific Predictive Retail Analytics Market by Deployment Type
Chapter 9. Asia Pacific Predictive Retail Analytics Market by Business Function
Chapter 10. Asia Pacific 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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