
Retail Operations Software is a type of software that helps retail businesses to manage their daily operations, such as inventory, sales, customer service, and marketing. Retail Operations Software can provide various functions, such as point of sale (POS), barcode scanning, receipt printing, payment processing, loyalty programs, promotions, analytics, and reporting.
The global market for Retail Operations Software was estimated to be worth US$ 1741 million in 2023 and is forecast to a readjusted size of US$ 3205.7 million by 2030 with a CAGR of 8.9% during the forecast period 2024-2030
The industry trend of Retail Operations Software is expected to be positive and growing in the coming years. The main drivers for this growth are the increasing demand for Retail Operations Software in the wake of the COVID-19 pandemic, the rising need for improving the efficiency and profitability of retail operations, the growing adoption of cloud computing and mobile applications by retail businesses and consumers, and the evolving consumer preferences and expectations for retail experiences. The main challenges for this market are the lack of awareness and skills among Retail Operations Software users, the high cost and complexity of Retail Operations Software solutions, and the dynamic nature of cyber threats. The main opportunities for this market are the emergence of new technologies such as artificial intelligence (AI), machine learning (ML), and blockchain in Retail Operations Software solutions , the increasing integration of Retail Operations Software with other business software solutions such as accounting, ERP, and BI, and the growing demand for Retail Operations Software solutions in emerging markets such as Asia-Pacific and Latin America.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Retail Operations Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Retail Operations Software by region & country, by Type, and by Application.
The Retail Operations 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 Operations Software.
Market Segmentation
By Company
SPS
42 Technologies
Blue Yonder
IBM
JDA Merchandise Management System (MMS)
a4RetailStores
Askuity
Axper
Bluize Venue Management
Brdata
CB4
Dor
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 Operations 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 Operations 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 Operations 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.
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1 Market Overview
1.1 Retail Operations Software Product Introduction
1.2 Global Retail Operations Software Market Size Forecast
1.3 Retail Operations Software Market Trends & Drivers
1.3.1 Retail Operations Software Industry Trends
1.3.2 Retail Operations Software Market Drivers & Opportunity
1.3.3 Retail Operations Software Market Challenges
1.3.4 Retail Operations 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 Operations Software Players Revenue Ranking (2023)
2.2 Global Retail Operations Software Revenue by Company (2019-2024)
2.3 Key Companies Retail Operations Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Retail Operations Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Retail Operations Software
2.6 Retail Operations Software Market Competitive Analysis
2.6.1 Retail Operations Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Retail Operations 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 Operations 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 Operations Software Sales Value by Type
3.2.1 Global Retail Operations Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Retail Operations Software Sales Value, by Type (2019-2030)
3.2.3 Global Retail Operations 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 Operations Software Sales Value by Application
4.2.1 Global Retail Operations Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Retail Operations Software Sales Value, by Application (2019-2030)
4.2.3 Global Retail Operations Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Retail Operations Software Sales Value by Region
5.1.1 Global Retail Operations Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Retail Operations Software Sales Value by Region (2019-2024)
5.1.3 Global Retail Operations Software Sales Value by Region (2025-2030)
5.1.4 Global Retail Operations Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Retail Operations Software Sales Value, 2019-2030
5.2.2 North America Retail Operations Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Retail Operations Software Sales Value, 2019-2030
5.3.2 Europe Retail Operations Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Retail Operations Software Sales Value, 2019-2030
5.4.2 Asia Pacific Retail Operations Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Retail Operations Software Sales Value, 2019-2030
5.5.2 South America Retail Operations Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Retail Operations Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Retail Operations Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Retail Operations Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Retail Operations Software Sales Value
6.3 United States
6.3.1 United States Retail Operations Software Sales Value, 2019-2030
6.3.2 United States Retail Operations Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Retail Operations Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Retail Operations Software Sales Value, 2019-2030
6.4.2 Europe Retail Operations Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Retail Operations Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Retail Operations Software Sales Value, 2019-2030
6.5.2 China Retail Operations Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Retail Operations Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Retail Operations Software Sales Value, 2019-2030
6.6.2 Japan Retail Operations Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Retail Operations Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Retail Operations Software Sales Value, 2019-2030
6.7.2 South Korea Retail Operations Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Retail Operations Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Retail Operations Software Sales Value, 2019-2030
6.8.2 Southeast Asia Retail Operations Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Retail Operations Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Retail Operations Software Sales Value, 2019-2030
6.9.2 India Retail Operations Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Retail Operations Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 SPS
7.1.1 SPS Profile
7.1.2 SPS Main Business
7.1.3 SPS Retail Operations Software Products, Services and Solutions
7.1.4 SPS Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.1.5 SPS Recent Developments
7.2 42 Technologies
7.2.1 42 Technologies Profile
7.2.2 42 Technologies Main Business
7.2.3 42 Technologies Retail Operations Software Products, Services and Solutions
7.2.4 42 Technologies Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.2.5 42 Technologies Recent Developments
7.3 Blue Yonder
7.3.1 Blue Yonder Profile
7.3.2 Blue Yonder Main Business
7.3.3 Blue Yonder Retail Operations Software Products, Services and Solutions
7.3.4 Blue Yonder Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Recent Developments
7.4 IBM
7.4.1 IBM Profile
7.4.2 IBM Main Business
7.4.3 IBM Retail Operations Software Products, Services and Solutions
7.4.4 IBM Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Recent Developments
7.5 JDA Merchandise Management System (MMS)
7.5.1 JDA Merchandise Management System (MMS) Profile
7.5.2 JDA Merchandise Management System (MMS) Main Business
7.5.3 JDA Merchandise Management System (MMS) Retail Operations Software Products, Services and Solutions
7.5.4 JDA Merchandise Management System (MMS) Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.5.5 JDA Merchandise Management System (MMS) Recent Developments
7.6 a4RetailStores
7.6.1 a4RetailStores Profile
7.6.2 a4RetailStores Main Business
7.6.3 a4RetailStores Retail Operations Software Products, Services and Solutions
7.6.4 a4RetailStores Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.6.5 a4RetailStores Recent Developments
7.7 Askuity
7.7.1 Askuity Profile
7.7.2 Askuity Main Business
7.7.3 Askuity Retail Operations Software Products, Services and Solutions
7.7.4 Askuity Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.7.5 Askuity Recent Developments
7.8 Axper
7.8.1 Axper Profile
7.8.2 Axper Main Business
7.8.3 Axper Retail Operations Software Products, Services and Solutions
7.8.4 Axper Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.8.5 Axper Recent Developments
7.9 Bluize Venue Management
7.9.1 Bluize Venue Management Profile
7.9.2 Bluize Venue Management Main Business
7.9.3 Bluize Venue Management Retail Operations Software Products, Services and Solutions
7.9.4 Bluize Venue Management Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.9.5 Bluize Venue Management Recent Developments
7.10 Brdata
7.10.1 Brdata Profile
7.10.2 Brdata Main Business
7.10.3 Brdata Retail Operations Software Products, Services and Solutions
7.10.4 Brdata Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.10.5 Brdata Recent Developments
7.11 CB4
7.11.1 CB4 Profile
7.11.2 CB4 Main Business
7.11.3 CB4 Retail Operations Software Products, Services and Solutions
7.11.4 CB4 Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.11.5 CB4 Recent Developments
7.12 Dor
7.12.1 Dor Profile
7.12.2 Dor Main Business
7.12.3 Dor Retail Operations Software Products, Services and Solutions
7.12.4 Dor Retail Operations Software Revenue (US$ Million) & (2019-2024)
7.12.5 Dor Recent Developments
8 Industry Chain Analysis
8.1 Retail Operations Software Industrial Chain
8.2 Retail Operations 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 Operations Software Sales Model
8.5.2 Sales Channel
8.5.3 Retail Operations 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
SPS
42 Technologies
Blue Yonder
IBM
JDA Merchandise Management System (MMS)
a4RetailStores
Askuity
Axper
Bluize Venue Management
Brdata
CB4
Dor
Ìý
Ìý
*If Applicable.
