소매 분석 시장 : 규모, 점유율, 성장률, 업계 분석, 유형별, 용도별, 지역별 인사이트, 예측(2026-2034년)

Growth Factors of retail analytics Market

The global retail analytics market was valued at USD 10.20 billion in 2025 and is projected to grow to USD 11.96 billion in 2026, reaching USD 37.18 billion by 2034, registering a robust CAGR of 15.20% during the forecast period (2025-2034). North America emerged as the dominant region, accounting for 38.00% of the market in 2025.

Retail analytics leverages advanced technologies like big data and data mining to derive actionable insights from massive datasets. It enables retailers to make data-driven decisions regarding customer behavior, product demand, and inventory management. The need to enhance sales performance, identify customer preferences, and optimize revenue generation is expected to fuel the adoption of retail analytics solutions. Integration with Artificial Intelligence (AI) further empowers businesses by providing intelligent insights that improve customer experience and sales strategies.

For instance, in March 2023, Adobe launched Adobe Product Analytics, a tool in Adobe Experience Cloud to combine customer experience insights across marketing and product operations, helping vendors enhance customer-focused strategies. The COVID-19 pandemic accelerated the shift from physical retail to e-commerce and mobile apps, boosting the demand for customer-level analytics. Retailers increasingly implemented advanced solutions to track inventory, supply chains, and online demand, further driving the retail analytics market.

Retail Analytics Market Trends

A key trend in the retail analytics market is the focus on product inventory management and shelf space allocation. Retailers are leveraging analytics to ensure products are available at the right place, in the right quantity, and for the right customers. Inventory management tools help minimize costs by reducing surplus merchandise and preventing out-of-stock situations. Retailers can quickly transfer stock, reorder products, or cancel orders based on real-time analytics, which enhances profit margins, prevents obsolescence, and optimizes omnichannel operations.

In January 2023, EY launched EY Retail Intelligence, a solution powered by Microsoft Cloud, providing omnichannel, personalized shopping experiences and enhanced decision-making capabilities. This trend of managing shelf space and inventory is expected to continue driving market growth.

Growth Factors

The integration of advanced technologies such as AI, machine learning (ML), and blockchain is propelling market expansion. AI facilitates predictive analytics, personalized experiences, and real-time customer engagement through chatbots and virtual assistants. ML algorithms help analyze large datasets to forecast demand, recommend products, and optimize inventory. Companies like Amazon, Netflix, Google, and Spotify utilize ML to deliver personalized experiences.

Blockchain technology enhances supply chain management, provides secure cloud storage, and enables loyalty programs. For example, in January 2023, Microsoft partnered with AiFi to launch Smart Store Analytics, leveraging autonomous shopping technology to generate insights on store layouts, customer behavior, and inventory management.

Restraining Factors

Stringent data privacy regulations, such as the General Data Protection Regulation (GDPR), pose challenges for retailers using big data analytics. These regulations limit access to customer data, affecting personalized services and profitability. Compliance complexities may slow the adoption of retail analytics solutions.

Market Segmentation

By Deployment:

• Cloud-based analytics is projected to hold 51.00% market share in 2026, offering real-time insights, competitive advantage, and improved customer satisfaction.
• On-premise analytics provides enhanced security, attracting retailers concerned about cloud cyberattacks.

By Retail Store Type:

• Retail chains dominate with 59.06% market share in 2026, as global giants like Walmart and Kroger rely on analytics for inventory, supply chain, and customer experience optimization.
• Hypermarkets and supermarkets are also adopting analytics for inventory and shelf management.

By Function:

• Customer management leads with 27.66% market share in 2026, reflecting growing demand for understanding consumer preferences.
• Strategy & planning and supply chain management segments are expected to grow steadily, while merchandising, pricing, and staff management analytics contribute to overall performance improvements.

Regional Insights

• North America: USD 3.93 billion in 2025 -> USD 4.54 billion in 2026. Adoption of e-commerce and advanced technologies drives growth. U.S. market projected at USD 3.63 billion in 2026.
• Asia Pacific: USD 2.42 billion in 2025 -> USD 2.91 billion in 2026. Growth fueled by online shopping, mobile connectivity, and digitalization. China, Japan, India projected at USD 0.81B, 0.86B, and 0.37B respectively in 2026.
• Europe: USD 3.00 billion in 2025 -> USD 3.52 billion in 2026. Key contributors include Germany, France, Italy, Spain. UK and Germany projected at USD 0.92B and 0.72B respectively in 2026.
• Middle East & Africa: USD 0.47 billion in 2025 -> USD 0.55 billion in 2026.
• Latin America: USD 0.38 billion in 2025 -> USD 0.44 billion in 2026.

Key Companies

Major players in the market include Microsoft Corporation (U.S.), HCL Technologies (India), IBM (U.S.), Oracle (U.S.), SAP SE (Germany), QlikTech (U.S.), Fractal Analytics (U.S.), Wipro (India), Nielsen Consumer LLC (U.S.), and EY (U.K.).

Industry Developments

• February 2024: Kroger collaborated with Intelligence Node for AI-powered marketplace listings.
• January 2024: Microsoft launched GenAI tools for personalized retail experiences.
• October 2023: Omnicommerce introduced a retail media and analytics platform across 30 marketplaces.
• May 2023: NIQ launched a connected collaboration platform integrating Rite Aid data.
• April 2023: Infosys partnered with Walmart Commerce Technologies for Store Assist, improving omnichannel experiences.

Conclusion

The retail analytics market is poised for significant growth from USD 10.20 billion in 2025 to USD 37.18 billion by 2034, driven by AI, ML, blockchain adoption, and the rising demand for inventory management, customer insights, and omnichannel retail experiences. While data privacy regulations may restrain growth, innovations in cloud-based analytics, retail chain optimization, and customer management solutions will continue to fuel expansion globally.

Growth Rate Growth Rate of 15.20% from 2026 to 2034

Segmentation By Deployment

• On-Premise
• Cloud

By Retail Store Type

• Hypermarkets and Supermarkets
• Retail Chains

By Function

• Customer Management
• Supply Chain
• Merchandising
• Strategy and Planning
• In-Store Operations

By Region

• North America (By Deployment, By Retail Store Type, By Function, and By Country)
  • U.S. (By Function)
  • Canada (By Function)
• Europe (By Deployment, By Retail Store Type, By Function, and By Country)
  • U.K. (By Function)
  • Germany (By Function)
  • Italy (By Function)
  • France (By Function)
  • Spain (By Function)
  • Rest of Europe
• Asia Pacific (By Deployment, By Retail Store Type, By Function, and By Country)
  • China (By Function)
  • Japan (By Function)
  • India (By Function)
  • Southeast Asia (By Function)
  • Rest of Asia Pacific
• Middle East & Africa (By Deployment, By Retail Store Type, By Function, and By Country)
  • GCC (By Function)
  • Egypt (By Function)
  • South Africa (By Function)
  • Rest of the Middle East & Africa
• Latin America (By Deployment, By Retail Store Type, By Function, and By Country)
  • Brazil (By Function)
  • Argentina (By Function)
  • Mexico (By Function)
  • Rest of Latin America

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Retail Analytics Key Players Market Share/Ranking, 2025

5. Global Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Deployment (USD)
  • 5.2.1. On-premise
  • 5.2.2. Cloud
• 5.3. By Retail Store Type (USD)
  • 5.3.1. Hypermarkets and Supermarkets
  • 5.3.2. Retail Chains
• 5.4. By Function (USD)
  • 5.4.1. Customer Management
  • 5.4.2. Supply Chain
  • 5.4.3. Merchandising
  • 5.4.4. Strategy and Planning
  • 5.4.5. In-store Operations
• 5.5. By Region (USD)
  • 5.5.1. North America
  • 5.5.2. Europe
  • 5.5.3. Asia Pacific
  • 5.5.4. Middle East and Africa
  • 5.5.5. Latin America

6. North America Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Deployment (USD)
  • 6.2.1. On-premise
  • 6.2.2. Cloud
• 6.3. By Retail Store Type (USD)
  • 6.3.1. Hypermarkets and Supermarkets
  • 6.3.2. Retail Chains
• 6.4. By Function (USD)
  • 6.4.1. Customer Management
  • 6.4.2. Supply Chain
  • 6.4.3. Merchandising
  • 6.4.4. Strategy and Planning
  • 6.4.5. In-store Operations
• 6.5. By Country (USD)
  • 6.5.1. United States
    • 6.5.1.1. Function
  • 6.5.2. Canada
    • 6.5.2.1. Function

7. Europe Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Deployment (USD)
  • 7.2.1. On-premise
  • 7.2.2. Cloud
• 7.3. By Retail Store Type (USD)
  • 7.3.1. Hypermarkets and Supermarkets
  • 7.3.2. Retail Chains
• 7.4. By Function (USD)
  • 7.4.1. Customer Management
  • 7.4.2. Supply Chain
  • 7.4.3. Merchandising
  • 7.4.4. Strategy and Planning
  • 7.4.5. In-store Operations
• 7.5. By Country (USD)
  • 7.5.1. United Kingdom
    • 7.5.1.1. Function
  • 7.5.2. Germany
    • 7.5.2.1. Function
  • 7.5.3. France
    • 7.5.3.1. Function
  • 7.5.4. Italy
    • 7.5.4.1. Function
  • 7.5.5. Spain
    • 7.5.5.1. Function
  • 7.5.6. Rest of Europe

8. Asia Pacific Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Deployment (USD)
  • 8.2.1. On-premise
  • 8.2.2. Cloud
• 8.3. By Retail Store Type (USD)
  • 8.3.1. Hypermarkets and Supermarkets
  • 8.3.2. Retail Chains
• 8.4. By Function (USD)
  • 8.4.1. Customer Management
  • 8.4.2. Supply Chain
  • 8.4.3. Merchandising
  • 8.4.4. Strategy and Planning
  • 8.4.5. In-store Operations
• 8.5. By Country (USD)
  • 8.5.1. China
    • 8.5.1.1. Function
  • 8.5.2. Japan
    • 8.5.2.1. Function
  • 8.5.3. India
    • 8.5.3.1. Function
  • 8.5.4. Southeast Asia
    • 8.5.4.1. Function
  • 8.5.5. Rest of Asia Pacific

9. Middle East & Africa Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Deployment (USD)
  • 9.2.1. On-premise
  • 9.2.2. Cloud
• 9.3. By Retail Store Type (USD)
  • 9.3.1. Hypermarkets and Supermarkets
  • 9.3.2. Retail Chains
• 9.4. By Function (USD)
  • 9.4.1. Customer Management
  • 9.4.2. Supply Chain
  • 9.4.3. Merchandising
  • 9.4.4. Strategy and Planning
  • 9.4.5. In-store Operations
• 9.5. By Country (USD)
  • 9.5.1. GCC
    • 9.5.1.1. Function
  • 9.5.2. Egypt
    • 9.5.2.1. Function
  • 9.5.3. South Africa
    • 9.5.3.1. Function
  • 9.5.4. Rest of Middle East & Africa

10. Latin America Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Deployment (USD)
  • 10.2.1. On-premise
  • 10.2.2. Cloud
• 10.3. By Retail Store Type (USD)
  • 10.3.1. Hypermarkets and Supermarkets
  • 10.3.2. Retail Chains
• 10.4. By Function (USD)
  • 10.4.1. Customer Management
  • 10.4.2. Supply Chain
  • 10.4.3. Merchandising
  • 10.4.4. Strategy and Planning
  • 10.4.5. In-store Operations
• 10.5. By Country (USD)
  • 10.5.1. Brazil
    • 10.5.1.1. Function
  • 10.5.2. Argentina
    • 10.5.2.1. Function
  • 10.5.3. Mexico
    • 10.5.3.1. Function
  • 10.5.4. Rest of Latin America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Microsoft Corporation
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. HCL Technologies Limited
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. FLIR Systems, Inc.
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. IBM Corporation
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Oracle Corporation
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. SAP SE
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. QlikTech International A.B.
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Fractal Analytics Inc.
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Wipro Limited
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Nielsen Consumer LLC
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments