Retail Analytics Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509249023

Publication Date:

September 26, 2024

Pages:

132

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Retail analytics software is a software application that helps retailers collect, analyze, and visualize data related to their business, such as sales, inventory, customers, marketing, and operations. Retail analytics software enables retailers to gain insights into their performance, trends, and opportunities, as well as to optimize their strategies, processes, and decisions. Retail analytics software typically includes features such as data integration, data visualization, dashboarding, reporting, and predictive analytics.
The global market for Retail Analytics Software was estimated to be worth US$ 2692 million in 2023 and is forecast to a readjusted size of US$ 4880.4 million by 2030 with a CAGR of 9.0% during the forecast period 2024-2030
The growth of the market is driven by factors such as the increasing demand for retail digitalization and personalization, the rising adoption of cloud-based and mobile solutions for retail analytics, the growing availability of big data and internet of things (IoT) devices in the retail industry, and the emergence of new technologies and innovations for retail analytics. Some of the challenges faced by the market are the high initial investment and maintenance costs, the lack of standardization and interoperability among retail analytics software products, the complexity and sensitivity of retail data and privacy issues.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Retail Analytics Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Retail Analytics Software by region & country, by Type, and by Application.
The Retail Analytics Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Software.
Market Segmentation
By Company
re-currency
SPS
Numerator
Alloy
NTS Retail
LinkIQ
PathFinder
Personali
PriceTrack
Sales Temperature
42 Technologies
Blosm
Blueday
DemandLink
Antusa
Segment by Type:
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Retail Analytics Software manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Retail Analytics Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Retail Analytics Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Retail Analytics Software Product Introduction
1.2 Global Retail Analytics Software Market Size Forecast
1.3 Retail Analytics Software Market Trends & Drivers
1.3.1 Retail Analytics Software Industry Trends
1.3.2 Retail Analytics Software Market Drivers & Opportunity
1.3.3 Retail Analytics Software Market Challenges
1.3.4 Retail Analytics Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Retail Analytics Software Players Revenue Ranking (2023)
2.2 Global Retail Analytics Software Revenue by Company (2019-2024)
2.3 Key Companies Retail Analytics Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Retail Analytics Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Retail Analytics Software
2.6 Retail Analytics Software Market Competitive Analysis
2.6.1 Retail Analytics Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Retail Analytics Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Retail Analytics Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 Web Based
3.2 Global Retail Analytics Software Sales Value by Type
3.2.1 Global Retail Analytics Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Retail Analytics Software Sales Value, by Type (2019-2030)
3.2.3 Global Retail Analytics Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 SMEs
4.2 Global Retail Analytics Software Sales Value by Application
4.2.1 Global Retail Analytics Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Retail Analytics Software Sales Value, by Application (2019-2030)
4.2.3 Global Retail Analytics Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Retail Analytics Software Sales Value by Region
5.1.1 Global Retail Analytics Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Retail Analytics Software Sales Value by Region (2019-2024)
5.1.3 Global Retail Analytics Software Sales Value by Region (2025-2030)
5.1.4 Global Retail Analytics Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Retail Analytics Software Sales Value, 2019-2030
5.2.2 North America Retail Analytics Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Retail Analytics Software Sales Value, 2019-2030
5.3.2 Europe Retail Analytics Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Retail Analytics Software Sales Value, 2019-2030
5.4.2 Asia Pacific Retail Analytics Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Retail Analytics Software Sales Value, 2019-2030
5.5.2 South America Retail Analytics Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Retail Analytics Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Retail Analytics Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Retail Analytics Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Retail Analytics Software Sales Value
6.3 United States
6.3.1 United States Retail Analytics Software Sales Value, 2019-2030
6.3.2 United States Retail Analytics Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Retail Analytics Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Retail Analytics Software Sales Value, 2019-2030
6.4.2 Europe Retail Analytics Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Retail Analytics Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Retail Analytics Software Sales Value, 2019-2030
6.5.2 China Retail Analytics Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Retail Analytics Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Retail Analytics Software Sales Value, 2019-2030
6.6.2 Japan Retail Analytics Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Retail Analytics Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Retail Analytics Software Sales Value, 2019-2030
6.7.2 South Korea Retail Analytics Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Retail Analytics Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Retail Analytics Software Sales Value, 2019-2030
6.8.2 Southeast Asia Retail Analytics Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Retail Analytics Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Retail Analytics Software Sales Value, 2019-2030
6.9.2 India Retail Analytics Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Retail Analytics Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 re-currency
7.1.1 re-currency Profile
7.1.2 re-currency Main Business
7.1.3 re-currency Retail Analytics Software Products, Services and Solutions
7.1.4 re-currency Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.1.5 re-currency Recent Developments
7.2 SPS
7.2.1 SPS Profile
7.2.2 SPS Main Business
7.2.3 SPS Retail Analytics Software Products, Services and Solutions
7.2.4 SPS Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.2.5 SPS Recent Developments
7.3 Numerator
7.3.1 Numerator Profile
7.3.2 Numerator Main Business
7.3.3 Numerator Retail Analytics Software Products, Services and Solutions
7.3.4 Numerator Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.3.5 Alloy Recent Developments
7.4 Alloy
7.4.1 Alloy Profile
7.4.2 Alloy Main Business
7.4.3 Alloy Retail Analytics Software Products, Services and Solutions
7.4.4 Alloy Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.4.5 Alloy Recent Developments
7.5 NTS Retail
7.5.1 NTS Retail Profile
7.5.2 NTS Retail Main Business
7.5.3 NTS Retail Retail Analytics Software Products, Services and Solutions
7.5.4 NTS Retail Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.5.5 NTS Retail Recent Developments
7.6 LinkIQ
7.6.1 LinkIQ Profile
7.6.2 LinkIQ Main Business
7.6.3 LinkIQ Retail Analytics Software Products, Services and Solutions
7.6.4 LinkIQ Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.6.5 LinkIQ Recent Developments
7.7 PathFinder
7.7.1 PathFinder Profile
7.7.2 PathFinder Main Business
7.7.3 PathFinder Retail Analytics Software Products, Services and Solutions
7.7.4 PathFinder Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.7.5 PathFinder Recent Developments
7.8 Personali
7.8.1 Personali Profile
7.8.2 Personali Main Business
7.8.3 Personali Retail Analytics Software Products, Services and Solutions
7.8.4 Personali Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.8.5 Personali Recent Developments
7.9 PriceTrack
7.9.1 PriceTrack Profile
7.9.2 PriceTrack Main Business
7.9.3 PriceTrack Retail Analytics Software Products, Services and Solutions
7.9.4 PriceTrack Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.9.5 PriceTrack Recent Developments
7.10 Sales Temperature
7.10.1 Sales Temperature Profile
7.10.2 Sales Temperature Main Business
7.10.3 Sales Temperature Retail Analytics Software Products, Services and Solutions
7.10.4 Sales Temperature Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.10.5 Sales Temperature Recent Developments
7.11 42 Technologies
7.11.1 42 Technologies Profile
7.11.2 42 Technologies Main Business
7.11.3 42 Technologies Retail Analytics Software Products, Services and Solutions
7.11.4 42 Technologies Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.11.5 42 Technologies Recent Developments
7.12 Blosm
7.12.1 Blosm Profile
7.12.2 Blosm Main Business
7.12.3 Blosm Retail Analytics Software Products, Services and Solutions
7.12.4 Blosm Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.12.5 Blosm Recent Developments
7.13 Blueday
7.13.1 Blueday Profile
7.13.2 Blueday Main Business
7.13.3 Blueday Retail Analytics Software Products, Services and Solutions
7.13.4 Blueday Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.13.5 Blueday Recent Developments
7.14 DemandLink
7.14.1 DemandLink Profile
7.14.2 DemandLink Main Business
7.14.3 DemandLink Retail Analytics Software Products, Services and Solutions
7.14.4 DemandLink Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.14.5 DemandLink Recent Developments
7.15 Antusa
7.15.1 Antusa Profile
7.15.2 Antusa Main Business
7.15.3 Antusa Retail Analytics Software Products, Services and Solutions
7.15.4 Antusa Retail Analytics Software Revenue (US$ Million) & (2019-2024)
7.15.5 Antusa Recent Developments
8 Industry Chain Analysis
8.1 Retail Analytics Software Industrial Chain
8.2 Retail Analytics Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Retail Analytics Software Sales Model
8.5.2 Sales Channel
8.5.3 Retail Analytics Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

re-currency
SPS
Numerator
Alloy
NTS Retail
LinkIQ
PathFinder
Personali
PriceTrack
Sales Temperature
42 Technologies
Blosm
Blueday
DemandLink
Antusa

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