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Global Retail Analytics Market Research Report 2024

Global Retail Analytics Market Research Report 2024

Publishing Date : Jan, 2024

License Type :

Report Code : 1805323

No of Pages : 106

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Report Description
Table of Content

Synopsis

Retail analytics focuses on providing insights related to sales, inventory, customers, and other important aspects crucial for merchants' decision-making process.

The global Retail Analytics market was valued at US$ 2692 million in 2023 and is anticipated to reach US$ 4955.6 million by 2030, witnessing a CAGR of 9.0% during the forecast period 2024-2030.

Global Retail Analytics key players include IBM, SAS Institute, Nielsen, Oracle, Blue Yonder (formerly JDA), etc. Global top five manufacturers hold a share about 30%. In terms of Company Type, ERP/CRM Enterprises is the largest segment, with a share over 45%. And in terms of Function, the largest application is Merchandising Analysis, followed by Pricing Analysis, Customer Analytics, etc.

This report aims to provide a comprehensive presentation of the global market for Retail Analytics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Retail Analytics.

Report Scope

The Retail Analytics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Retail Analytics market comprehensively. Regional market sizes, concerning products by Type, by Function, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Retail Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Function, and by regions.

Market Segmentation

By Company

IBM
Oracle
Microsoft
Manthan
Fujitsu
Blue Yonder (formerly JDA)
MicroStrategy
SAP
Bridgei2i
SAS Institute
Qlik
1010data
Aptos (acquired Revionics)
Symphony RetailAI
SPS
Tableau
RetailNext
Nielsen
HCL Technologies
ShopperTrak

Segment by Type

by Business Function

Finance
Marketing and Sales
Human Resources
Operations

by Enterprise Type

Large Enterprises
SMEs

by Company Type

ERP/CRM Enterprises
Cloud Providers
Pure Analytics Players

Segment by Function

Merchandising Analysis
Pricing Analysis
Customer Analytics
Promotional Analysis and Planning
Yield Analysis
Inventory Analysis
Others

By Region

North America (United States, Canada)
Europe (Germany, France, U.K., Italy, Netherlands)
Asia-Pacific (China, Japan, South Korea, China Taiwan, Southeast Asia, India)
Latin America, Middle East & Africa (Latin America, Mexico, Brazil, Turkey)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Function, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Retail Analytics companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Function, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Business Function
1.2.1 Global Retail Analytics Market Size Growth Rate by Business Function: 2019 VS 2023 VS 2030
1.2.2 Finance
1.2.3 Marketing and Sales
1.2.4 Human Resources
1.2.5 Operations
1.3 Market by Function
1.3.1 Global Retail Analytics Market Growth by Function: 2019 VS 2023 VS 2030
1.3.2 Merchandising Analysis
1.3.3 Pricing Analysis
1.3.4 Customer Analytics
1.3.5 Promotional Analysis and Planning
1.3.6 Yield Analysis
1.3.7 Inventory Analysis
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Retail Analytics Market Perspective (2019-2030)
2.2 Retail Analytics Growth Trends by Region
2.2.1 Global Retail Analytics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Retail Analytics Historic Market Size by Region (2019-2024)
2.2.3 Retail Analytics Forecasted Market Size by Region (2025-2030)
2.3 Retail Analytics Market Dynamics
2.3.1 Retail Analytics Industry Trends
2.3.2 Retail Analytics Market Drivers
2.3.3 Retail Analytics Market Challenges
2.3.4 Retail Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Retail Analytics Players by Revenue
3.1.1 Global Top Retail Analytics Players by Revenue (2019-2024)
3.1.2 Global Retail Analytics Revenue Market Share by Players (2019-2024)
3.2 Global Retail Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Retail Analytics Revenue
3.4 Global Retail Analytics Market Concentration Ratio
3.4.1 Global Retail Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Retail Analytics Revenue in 2023
3.5 Retail Analytics Key Players Head office and Area Served
3.6 Key Players Retail Analytics Product Solution and Service
3.7 Date of Enter into Retail Analytics Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Retail Analytics Breakdown Data by Type
4.1 Global Retail Analytics Historic Market Size by Type (2019-2024)
4.2 Global Retail Analytics Forecasted Market Size by Type (2025-2030)
5 Retail Analytics Breakdown Data by Function
5.1 Global Retail Analytics Historic Market Size by Function (2019-2024)
5.2 Global Retail Analytics Forecasted Market Size by Function (2025-2030)
6 North America
6.1 North America Retail Analytics Market Size (2019-2030)
6.2 North America Retail Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Retail Analytics Market Size by Country (2019-2024)
6.4 North America Retail Analytics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Retail Analytics Market Size (2019-2030)
7.2 Europe Retail Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Retail Analytics Market Size by Country (2019-2024)
7.4 Europe Retail Analytics Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Retail Analytics Market Size (2019-2030)
8.2 Asia-Pacific Retail Analytics Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Retail Analytics Market Size by Region (2019-2024)
8.4 Asia-Pacific Retail Analytics Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Retail Analytics Market Size (2019-2030)
9.2 Latin America Retail Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Retail Analytics Market Size by Country (2019-2024)
9.4 Latin America Retail Analytics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Retail Analytics Market Size (2019-2030)
10.2 Middle East & Africa Retail Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Retail Analytics Market Size by Country (2019-2024)
10.4 Middle East & Africa Retail Analytics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Retail Analytics Introduction
11.1.4 IBM Revenue in Retail Analytics Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Oracle
11.2.1 Oracle Company Detail
11.2.2 Oracle Business Overview
11.2.3 Oracle Retail Analytics Introduction
11.2.4 Oracle Revenue in Retail Analytics Business (2019-2024)
11.2.5 Oracle Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Retail Analytics Introduction
11.3.4 Microsoft Revenue in Retail Analytics Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 Manthan
11.4.1 Manthan Company Detail
11.4.2 Manthan Business Overview
11.4.3 Manthan Retail Analytics Introduction
11.4.4 Manthan Revenue in Retail Analytics Business (2019-2024)
11.4.5 Manthan Recent Development
11.5 Fujitsu
11.5.1 Fujitsu Company Detail
11.5.2 Fujitsu Business Overview
11.5.3 Fujitsu Retail Analytics Introduction
11.5.4 Fujitsu Revenue in Retail Analytics Business (2019-2024)
11.5.5 Fujitsu Recent Development
11.6 Blue Yonder (formerly JDA)
11.6.1 Blue Yonder (formerly JDA) Company Detail
11.6.2 Blue Yonder (formerly JDA) Business Overview
11.6.3 Blue Yonder (formerly JDA) Retail Analytics Introduction
11.6.4 Blue Yonder (formerly JDA) Revenue in Retail Analytics Business (2019-2024)
11.6.5 Blue Yonder (formerly JDA) Recent Development
11.7 MicroStrategy
11.7.1 MicroStrategy Company Detail
11.7.2 MicroStrategy Business Overview
11.7.3 MicroStrategy Retail Analytics Introduction
11.7.4 MicroStrategy Revenue in Retail Analytics Business (2019-2024)
11.7.5 MicroStrategy Recent Development
11.8 SAP
11.8.1 SAP Company Detail
11.8.2 SAP Business Overview
11.8.3 SAP Retail Analytics Introduction
11.8.4 SAP Revenue in Retail Analytics Business (2019-2024)
11.8.5 SAP Recent Development
11.9 Bridgei2i
11.9.1 Bridgei2i Company Detail
11.9.2 Bridgei2i Business Overview
11.9.3 Bridgei2i Retail Analytics Introduction
11.9.4 Bridgei2i Revenue in Retail Analytics Business (2019-2024)
11.9.5 Bridgei2i Recent Development
11.10 SAS Institute
11.10.1 SAS Institute Company Detail
11.10.2 SAS Institute Business Overview
11.10.3 SAS Institute Retail Analytics Introduction
11.10.4 SAS Institute Revenue in Retail Analytics Business (2019-2024)
11.10.5 SAS Institute Recent Development
11.11 Qlik
11.11.1 Qlik Company Detail
11.11.2 Qlik Business Overview
11.11.3 Qlik Retail Analytics Introduction
11.11.4 Qlik Revenue in Retail Analytics Business (2019-2024)
11.11.5 Qlik Recent Development
11.12 1010data
11.12.1 1010data Company Detail
11.12.2 1010data Business Overview
11.12.3 1010data Retail Analytics Introduction
11.12.4 1010data Revenue in Retail Analytics Business (2019-2024)
11.12.5 1010data Recent Development
11.13 Aptos (acquired Revionics)
11.13.1 Aptos (acquired Revionics) Company Detail
11.13.2 Aptos (acquired Revionics) Business Overview
11.13.3 Aptos (acquired Revionics) Retail Analytics Introduction
11.13.4 Aptos (acquired Revionics) Revenue in Retail Analytics Business (2019-2024)
11.13.5 Aptos (acquired Revionics) Recent Development
11.14 Symphony RetailAI
11.14.1 Symphony RetailAI Company Detail
11.14.2 Symphony RetailAI Business Overview
11.14.3 Symphony RetailAI Retail Analytics Introduction
11.14.4 Symphony RetailAI Revenue in Retail Analytics Business (2019-2024)
11.14.5 Symphony RetailAI Recent Development
11.15 SPS
11.15.1 SPS Company Detail
11.15.2 SPS Business Overview
11.15.3 SPS Retail Analytics Introduction
11.15.4 SPS Revenue in Retail Analytics Business (2019-2024)
11.15.5 SPS Recent Development
11.16 Tableau
11.16.1 Tableau Company Detail
11.16.2 Tableau Business Overview
11.16.3 Tableau Retail Analytics Introduction
11.16.4 Tableau Revenue in Retail Analytics Business (2019-2024)
11.16.5 Tableau Recent Development
11.17 RetailNext
11.17.1 RetailNext Company Detail
11.17.2 RetailNext Business Overview
11.17.3 RetailNext Retail Analytics Introduction
11.17.4 RetailNext Revenue in Retail Analytics Business (2019-2024)
11.17.5 RetailNext Recent Development
11.18 Nielsen
11.18.1 Nielsen Company Detail
11.18.2 Nielsen Business Overview
11.18.3 Nielsen Retail Analytics Introduction
11.18.4 Nielsen Revenue in Retail Analytics Business (2019-2024)
11.18.5 Nielsen Recent Development
11.19 HCL Technologies
11.19.1 HCL Technologies Company Detail
11.19.2 HCL Technologies Business Overview
11.19.3 HCL Technologies Retail Analytics Introduction
11.19.4 HCL Technologies Revenue in Retail Analytics Business (2019-2024)
11.19.5 HCL Technologies Recent Development
11.20 ShopperTrak
11.20.1 ShopperTrak Company Detail
11.20.2 ShopperTrak Business Overview
11.20.3 ShopperTrak Retail Analytics Introduction
11.20.4 ShopperTrak Revenue in Retail Analytics Business (2019-2024)
11.20.5 ShopperTrak Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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