Retail Analytics Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

Retail Analytics Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032



Growth Factors of Retail Analytics Market


The retail analytics market size was valued at USD 7.56 billion in 2023, and the market is now projected to grow from USD 8.75 billion in 2024 to USD 31.08 billion by 2032, exhibiting a CAGR of 17.2% during the forecast period of 2023-2030.

Physical retail institutions quick transitioned to virtual retailers via e-trade and telephone apps due to the coronavirus pandemic. Because human beings were looking for groceries on-line during the pandemic. The retail analytics market growth has elevated because of the growing trend of online shopping for. Furthermore, due to confined logistical offerings and a growth in demand for goods online, some of merchants used sophisticated supply chain and inventory monitoring structures.

It is anticipated that the retail enterprise might be among the first to apply cutting-edge generation like blockchain, AI, ML, and others. Al presents higher records management, a tailored experience, the capacity to do predictive evaluation, and on the spot guide. Retailers are capable of hold a connection with their purchasers with the usage of additional Al apps like chatbots, virtual assistants, and greater. By robotically responding to many queries, this option enhances company workflow efficiency.

The two most important assets for a shop are shelf area allocation and product inventory control. The retail zone has visible a regular boom in the use of assortment planning and micro-level evaluation. Product management lowers transporting and garage fees for excess product, which advantages traders by means of assisting them lower inventory prices. With using technology that assist decide stock availability and different actual-time facts on inventory and income, out-of-stock troubles can also be decreased. With the assist of those systems, groups can respond speedy—dropping objects to customers, restocking, or transferring inventory from one area to another.

Comprehensive Analysis of Retail Analytics Market

The retail analytics marketplace is divided into on-premise and cloud deployments, with cloud-primarily based definitely analytics predicted to dominate the market because of its actual-time insights and patron-friendliness. On-premise analytics may also see average adoption because of protection issues. Retail stores are classified into hypermarkets, supermarkets, and retail chains, with retail chains like Walmart and Kroger dominating the marketplace. Advanced retail gear was being followed with the aid of way of hypermarkets and supermarkets for progressed stock control and patron experience.

The North America area lead the retail analytics market share through benefitting a market size of USD 31.08 billion in 2023 due to its rapid adoption of services and the use of advanced technology by way of stores inside the U.S. And Canada to decorate customer revel in, operational performance, and marketplace traits.

Major businesses in the market Microsoft Corporation (U.S.), HCL Technologies Limited (India), FLIR Systems, Inc. (U.S.), SAP SE (Germany), QlikTech International A.B. (U.S.), IBM Corporation (U.S.), Oracle Corporation (U.S.), Fractal Analytics Inc. (U.S.), Wipro Limited (India), Nielsen Consumer LLC (U.S.) are integrating superior technology like blockchain, device learning, and synthetic intelligence into their retail analytics solutions to enhance consumer enjoy.

In February 2024, Kroger partnered with Al retail analytics organization Intelligence Node to enhance market listings and provide clearer product courses for 0.33-celebration companies.

Segmentation Table

Attribute Details

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Unit Value (USD billion)

Growth Rate CAGR of 17.2% from 2024 to 2032

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


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, 2023
5. Global Retail Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
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, 2019-2032
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, 2019-2032
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, 2019-2032
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, 2019-2032
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, 2019-2032
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

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