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

Publisher Fortune Business Insights Pvt. Ltd.
Published Jan 01, 2025
Length 160 Pages
SKU # FOB19554794

Description

Growth Factors of Retail Cloud Market

The global retail cloud market size was valued at USD 11.89 billion in 2018 and is projected tgrow tUSD 39.63 billion by 2026, exhibiting a CAGR of 16.3% during the forecast period of 2019-2026.

The COVID-19 pandemic appreciably prolonged the adoption of the retail cloud market as groups transitioned tvirtual platforms tpreserve operations through lockdowns and social distancing measures. Increased reliance on e-change, contactless bills, and far-off manipulated gear highlighted the need for scalable and green cloud answers, impeding the retail cloud market growth.

The increase in the retail cloud market is pushed using the growing adoption of digital transformation in retail, the ever increasing call for customized customer reviews, and the want for scalable and cost-efficient solutions.

The Retail Cloud market is experiencing a rapid increase, driven by the increasing need for stores tbeautify agility, improve operational efficiency, and benefit a competitive facet in the virtual age. Key traits include the enormous adoption of cloud-based answers for center retail functions such as inventory control, order achievement, client courting management (CRM), and point-of-sale (POS), leading tthe global expansion of retail cloud market share. This shift tthe cloud enables retailers tscale their operations quickly, lessen IT fees, and benefit from the right of entry tadvanced analytics and AI-powered insights for stepped-forward choice-making and customized consumer studies.

Comprehensive Analysis of Retail Cloud Market

The segmentation of the retail cloud market is classified by model type, answer, and enterprise size. By version kind, the marketplace is split intinfrastructure as a provider, platform as a service, and software as a provider (SaaS). Among those, SaaS is expected tdominate because of its capability thelp outlets innovate and compete successfully. Platform and infrastructure services contribute tmarket growth by improving verbal exchange between providers, manufacturers, and customers. By solution, key segments encompass delivery chain management, team of workers management, purchaser management, reporting & analytics, information safety, and omnichannel answers. Data protection, reporting & analytics are predicted tgrow considerably as they assist more innovative advertising techniques and predictive customer behavior analytics. Small and medium organizations (SMEs) are projected tgrow rapidly by corporation length because they adopted cloud-primarily based answers for competitiveness. At the same time, huge companies force increase via incorporated digital and in-store operations tailored tevolving patron choices.

The North America region led the retail cloud market by benefitting a size of USD 4.81 billion in 2018 due tthe adoption of cloud-based solutions within the retail industry, particularly in evolved nations like the U.S. and Canada.

The leading players in the Retail Cloud market significantly influence its growth trajectory and set industry standards. Key players, including Alibaba Group, AWS, Baidu, CiscSystems Inc., Fujitsu, Google, IBM Corporation, Infor, JDA Software Group, Microsoft Corporation, Oracle Corporation, and SAP SE, contribute ta competitive landscape by driving innovation and advancing cloud-based solutions tailored for the retail industry. Their strategic initiatives and technological advancements help shape the future of retail cloud adoption globally, enhancing efficiency, customer experience, and business operations.

In July 2021, Google Cloud expanded its partnership with The Home Depot, a leading American home improvement retailer, timprove the customer shopping experience. The company utilizes Google Cloud's infrastructure and artificial intelligence capabilities taddress increasing demand and provide personalized experiences for its customers.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2015-2026

Base Year 2018

Forecast Period 2019-2026

Historical Period 2015-2017

Unit Value (USD Billion)

Segmentation By Model Type

Infrastructure as a Service

Platform as a Service

Software as a Service

By Deployment

Public

Private

Hybrid

By Solution

Supply Chain Management

Workforce Management

Customer Management

Reporting and Analytics

Data Security

Omni-Channel

Others

By Enterprise Size

Small and Medium

Large

By Geography

North America (U.S. and Canada)

Europe (U.K., Germany, France, Italy, Spain, and the Rest of Europe)

Asia Pacific (Japan, China, India, Southeast Asia, and the Rest of Asia Pacific)

Middle East & Africa (South Africa, GCC, and the Rest of Middle East & Africa)

Latin America (Brazil, Mexico, and the Rest of Latin America)

Table of Contents

160 Pages
1. Introduction
1.1. Definition, By Segment
1.2. Research Approach
1.3. Sources
2. Executive Summary
3. Market Dynamics
3.1. Drivers, Restraints and Opportunities
3.2. Emerging Trends
4. Key Insights
4.1. Macro and Micro Economic Indicators
4.2. Consolidated SWOT Analysis of Key Players
5. Global Retail Cloud Market Analysis, Insights and Forecast, 2015-2026
5.1. Key Findings / Summary
5.2. Market Size Estimates and Forecasts
5.2.1. By Type (Value)
5.2.1.1. Solution
5.2.1.1.1. Channel operations
5.2.1.1.2. Supply Chain Management
5.2.1.1.3. Customer Management
5.2.1.1.4. Merchandising
5.2.1.1.5. Workforce Management
5.2.1.1.6. Reporting and Analytics
5.2.1.1.7. Data Security
5.2.1.1.8. Others
5.2.1.2. Services
5.2.1.2.1. Professional Services
5.2.1.2.1.1. Consulting
5.2.1.2.1.2. Training and Education
5.2.1.2.1.3. Support and Maintenance
5.2.1.2.2. Managed Services
5.2.2. By Service Model (Value)
5.2.2.1. Software as A Service
5.2.2.2. Platform as A Service
5.2.2.3. Infrastructure as A Service
5.2.3. By Deployment (Value)
5.2.3.1. Public Cloud
5.2.3.2. Private Cloud
5.2.3.3. Hybrid Cloud
5.2.4. By Organization Size (Value)
5.2.4.1. Small and Medium Enterprises
5.2.4.2. Large Enterprises
5.2.5. By Geography (Value)
5.2.5.1. North America
5.2.5.2. Europe
5.2.5.3. Asia Pacific
5.2.5.4. Middle East and Africa
5.2.5.5. Latin America
6. North America Retail Cloud Market Analysis, Insights and Forecast, 2015-2026
6.1. Key Findings / Summary
6.2. Market Size Estimates and Forecasts
6.2.1. By Type (Value)
6.2.1.1. Solution
6.2.1.1.1. Channel operations
6.2.1.1.2. Supply Chain Management
6.2.1.1.3. Customer Management
6.2.1.1.4. Merchandising
6.2.1.1.5. Workforce Management
6.2.1.1.6. Reporting and Analytics
6.2.1.1.7. Data Security
6.2.1.1.8. Others
6.2.1.2. Services
6.2.1.2.1. Professional Services
6.2.1.2.1.1. Consulting
6.2.1.2.1.2. Training and Education
6.2.1.2.1.3. Support and Maintenance
6.2.1.2.2. Managed Services
6.2.2. By Service Model (Value)
6.2.2.1. Software as A Service
6.2.2.2. Platform as A Service
6.2.2.3. Infrastructure as A Service
6.2.3. By Deployment (Value)
6.2.3.1. Public Cloud
6.2.3.2. Private Cloud
6.2.3.3. Hybrid Cloud
6.2.4. By Organization Size (Value)
6.2.4.1. Small and Medium Enterprises
6.2.4.2. Large Enterprises
6.2.5. By Country (Value)
6.2.5.1. United States
6.2.5.2. Canada
7. Europe Retail Cloud Market Analysis, Insights and Forecast, 2015-2026
7.1. Key Findings / Summary
7.2. Key Policies and Regulations
7.3. Market Size Estimates and Forecasts
7.3.1. By Type (Value)
7.3.1.1. Solution
7.3.1.1.1. Channel operations
7.3.1.1.2. Supply Chain Management
7.3.1.1.3. Customer Management
7.3.1.1.4. Merchandising
7.3.1.1.5. Workforce Management
7.3.1.1.6. Reporting and Analytics
7.3.1.1.7. Data Security
7.3.1.1.8. Others
7.3.1.2. Services
7.3.1.2.1. Professional Services
7.3.1.2.1.1. Consulting
7.3.1.2.1.2. Training and Education
7.3.1.2.1.3. Support and Maintenance
7.3.1.2.2. Managed Services
7.3.2. By Service Model (Value)
7.3.2.1. Software as A Service
7.3.2.2. Platform as A Service
7.3.2.3. Infrastructure as A Service
7.3.3. By Deployment (Value)
7.3.3.1. Public Cloud
7.3.3.2. Private Cloud
7.3.3.3. Hybrid Cloud
7.3.4. By Organization Size (Value)
7.3.4.1. Small and Medium Enterprises
7.3.4.2. Large Enterprises
7.3.5. By Country (Value)
7.3.5.1. Germany
7.3.5.2. Italy
7.3.5.3. France
7.3.5.4. Spain
7.3.5.5. Rest of Europe
8. Asia Pacific Retail Cloud Market Analysis, Insights and Forecast, 2015-2026
8.1. Key Findings / Summary
8.2. Market Size Estimates and Forecasts
8.2.1. By Type (Value)
8.2.1.1. Solution
8.2.1.1.1. Channel operations
8.2.1.1.2. Supply Chain Management
8.2.1.1.3. Customer Management
8.2.1.1.4. Merchandising
8.2.1.1.5. Workforce Management
8.2.1.1.6. Reporting and Analytics
8.2.1.1.7. Data Security
8.2.1.1.8. Others
8.2.1.2. Services
8.2.1.2.1. Professional Services
8.2.1.2.1.1. Consulting
8.2.1.2.1.2. Training and Education
8.2.1.2.1.3. Support and Maintenance
8.2.1.2.2. Managed Services
8.2.2. By Service Model (Value)
8.2.2.1. Software as A Service
8.2.2.2. Platform as A Service
8.2.2.3. Infrastructure as A Service
8.2.3. By Deployment (Value)
8.2.3.1. Public Cloud
8.2.3.2. Private Cloud
8.2.3.3. Hybrid Cloud
8.2.4. By Organization Size (Value)
8.2.4.1. Small and Medium Enterprises
8.2.4.2. Large Enterprises
8.2.5. By Country (Value)
8.2.5.1. China
8.2.5.2. Japan
8.2.5.3. India
8.2.5.4. South East Asia
8.2.5.5. Rest of APAC
9. Middle East and Africa Retail Cloud Market Analysis, Insights and Forecast, 2015-2026
9.1. Key Findings / Summary
9.2. Market Size Estimates and Forecasts
9.2.1. By Type (Value)
9.2.1.1. Solution
9.2.1.1.1. Channel operations
9.2.1.1.2. Supply Chain Management
9.2.1.1.3. Customer Management
9.2.1.1.4. Merchandising
9.2.1.1.5. Workforce Management
9.2.1.1.6. Reporting and Analytics
9.2.1.1.7. Data Security
9.2.1.1.8. Others
9.2.1.2. Services
9.2.1.2.1. Professional Services
9.2.1.2.1.1. Consulting
9.2.1.2.1.2. Training and Education
9.2.1.2.1.3. Support and Maintenance
9.2.1.2.2. Managed Services
9.2.2. By Service Model (Value)
9.2.2.1. Software as A Service
9.2.2.2. Platform as A Service
9.2.2.3. Infrastructure as A Service
9.2.3. By Deployment (Value)
9.2.3.1. Public Cloud
9.2.3.2. Private Cloud
9.2.3.3. Hybrid Cloud
9.2.4. By Organization Size (Value)
9.2.4.1. Small and Medium Enterprises
9.2.4.2. Large Enterprises
9.2.5. By Country (Value)
9.2.5.1. GCC
9.2.5.2. Egypt
9.2.5.3. South Africa
9.2.5.4. Rest of MEA
10. Latin America Retail Cloud Market Analysis, Insights and Forecast, 2015-2026
10.1. Key Findings / Summary
10.2. Market Size Estimates and Forecasts
10.2.1. By Type (Value)
10.2.1.1. Solution
10.2.1.1.1. Channel operations
10.2.1.1.2. Supply Chain Management
10.2.1.1.3. Customer Management
10.2.1.1.4. Merchandising
10.2.1.1.5. Workforce Management
10.2.1.1.6. Reporting and Analytics
10.2.1.1.7. Data Security
10.2.1.1.8. Others
10.2.1.2. Services
10.2.1.2.1. Professional Services
10.2.1.2.1.1. Consulting
10.2.1.2.1.2. Training and Education
10.2.1.2.1.3. Support and Maintenance
10.2.1.2.2. Managed Services
10.2.2. By Service Model (Value)
10.2.2.1. Software as A Service
10.2.2.2. Platform as A Service
10.2.2.3. Infrastructure as A Service
10.2.3. By Deployment (Value)
10.2.3.1. Public Cloud
10.2.3.2. Private Cloud
10.2.3.3. Hybrid Cloud
10.2.4. By Organization Size (Value)
10.2.4.1. Small and Medium Enterprises
10.2.4.2. Large Enterprises
10.2.5. By Country (Value)
10.2.5.1. Brazil
10.2.5.2. Argentina
10.2.5.3. Mexico
10.2.5.4. Rest of LATAM
11. Competition Matrix
11.1. Business Strategies Adopted by Leading Players
12. Global Retail Cloud Market Revenue Share Analysis, By Key Manufacturer, 2018
13. Company Profile
13.1. Alphabet Inc.
13.1.1. Overview
13.1.2. Description
13.1.3. Product Portfolio
13.1.4. Financials (Data as available in public domain and/or on paid databases)
13.1.5. Recent Developments
13.1.5.1. Similar information shall be provided for all the below companies
13.1.5.1.1. Cisco
13.1.5.1.2. Oracle
13.1.5.1.3. Epicor Software Corporation
13.1.5.1.4. Fujitsu
13.1.5.1.5. Infor
13.1.5.1.6. IBM
13.1.5.1.7. RapidScale
13.1.5.1.8. Retailcloud
13.1.5.1.9. Retail Solutions, Inc.
13.1.5.1.10. Softvision
13.1.5.1.11. JDA Software Group, Inc.
13.1.5.1.12. Atos Syntel Inc.
13.1.5.1.13. SAP SE
13.1.5.1.14. Microsoft
13.1.5.1.15. DXC Technology
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