Retail Cloud Market

Retail Cloud Market by Component (Solutions and Services), Service Model (SaaS, PaaS, and IaaS), Deployment Model (Public, Private, and Hybrid Cloud), Organization Size (SMEs and Large Enterprises) and Region - Global Forecast to 2028

Report Code: TC 4989 May, 2023, by marketsandmarkets.com

Retail Cloud Market – Industry Analysis & Growth

The global retail cloud market size was valued at USD 47.0 billion in 2023 and is expected to grow at a CAGR of 19.6% from 2023 to 2028. The revenue forecast for 2028 is projected to reach $114.9 billion. The base year for estimation is 2022, and the historical data spans from 2023 to 2028.

In recent years, cloud adoption in retail sector has evolved as many retailers began to adopt hybrid cloud solutions that combined public and private clouds. This allowed retailers to keep sensitive data on private clouds while using public clouds for less sensitive applications. Further, cloud-based POS systems began to gain traction in the retail industry. These systems allowed retailers to process transactions in real-time and access data from anywhere, making it easier to manage their operations. Many retailers are also integrating cloud-based solutions with other technologies such as AI and IoT. Retailers are utilizing cloud-based IoT platforms to collect and analyze data from sensors in stores and warehouses, while AI-powered chatbots are being utilized to offer personalized customer service through cloud-based platforms. The global recession caused by the COVID-19 pandemic has had a mixed impact on the retail cloud market. The pandemic has increased demand for retail cloud solutions and services with the growth in ecommerce. This trend is expected to continue post COVID-19 to manage the surge in demand and changing customer preferences.

Retail Cloud Market

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Retail Cloud Market

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Recession Impact on the Retail cloud market

The global recession caused by the COVID-19 pandemic has had a mixed impact on the retail cloud market. Factors like Russia-Ukraine war, the global pandemic, inflation, rising interest rates, and rising oil prices has resulted in recession across the various regions. These market uncertainties have resulted in reduced spending by organizations that may impact the demand for cloud solutions and services in the retail sector in the short term. Russia invasion of Ukraine has impacted the entire value chain of retail industry such as raw materials, manufacturing, transportation, and trading. This has significantly disrupted the global supply chain as well. In addition, Cloud providers and internet service providers are under constant pressure to not to service the clients in Russia. This is likely to impact the data center construction cost due to inflation, rising energy price, and supply chain disruptions for materials and semiconductor devices that are being produced in Russia and Ukraine.

While the recession has had a mixed impact on the retail cloud market, the long-term prospects for the industry remain positive. The continued growth in internet penetration, the increasing popularity of mobile devices, advent of technologies such as AI, IoT, cloud, and growth of ecommerce, are likely to drive continued growth in the market. However, the impact of the recession on the market is likely to be felt for some time, particularly in terms of investment and advertising revenue.

Retail Cloud Market Dynamics

Driver:  Accelerated adoption of multi-cloud architecture

Multi-cloud adoption has become a prevalent trend in retail as businesses seek to leverage the benefits of using multiple cloud service providers. The retail sector has specific requirements, including the need for scalable, flexible, and secure IT infrastructure to support both online and brick-and-mortar operations. Multi-cloud environments provide retailers with the ability to customize their IT infrastructure to meet their specific needs while also reducing the risk of downtime, data loss, and security breaches.

One of the trends in the retail industry is the use of multi-cloud environments for eCommerce operations. Retailers can leverage the scalability and redundancy of multi-cloud environments to ensure their eCommerce platforms are always available and can handle high volumes of traffic. By using multiple cloud providers, retailers can also ensure they have geographic redundancy, which helps to protect against outages and data loss. Retailers are also using multi-cloud environments for data analytics. Retailers generate vast amounts of data from various sources, including online sales, in-store transactions, and social media. By leveraging multiple cloud providers, retailers can ensure they have access to the tools and resources they need to manage their supply chain effectively. For instance, a retailer can use one cloud provider for inventory management and another for logistics management. Thus, multi-cloud adoption in the retail industry is expected to grow as retailers seek to leverage the benefits of multiple cloud providers to meet their unique requirements and improve their business operations. By adopting multi-cloud environments, retailers can gain a competitive advantage and improve their agility, scalability, and flexibility while reducing costs and improving their security posture.

Restraint: integration of cloud-based systems with legacy systems

Integrating cloud systems with legacy systems is one of the major hindrances to the adoption of cloud computing systems in the retail sector. Many retailers have invested in legacy systems over the years, and these systems often handle critical functions such as inventory management, order processing, and payment processing. Integrating these systems with cloud-based systems can be challenging, but it is essential to ensure that retailers can leverage the benefits of cloud computing while still maintaining their existing systems. Legacy systems are often built on older technologies that may not be compatible with newer cloud-based systems. This can result in issues with data migration and data exchange, which can impact the overall performance of the systems. To overcome this problem, retailers need to adopt a well-planned and structured approach to integrating cloud systems with legacy systems. This involves understanding the requirements of the business, assessing the compatibility of the legacy systems with cloud-based systems, and identifying the right integration tools and technologies. Retailers also need to ensure they have the necessary resources to manage the integration process effectively, including skilled personnel and adequate budgets.

Opportunity: adoption of new retail technologies to integrate online and offline shopping experiences

New retail adoption is driven by the increasing demand for a seamless and personalized shopping experience. Retailers are adopting new technologies to collect and analyze customer data to understand their preferences and shopping behavior, which can be used to provide personalized recommendations and improve customer engagement. This includes the use of technologies such as artificial intelligence, machine learning, big data analytics, augmented reality, and virtual reality, among others. New retail adoption is also helping retailers to optimize their operations by streamlining processes, reducing costs, and improving efficiency. For instance, automated inventory management systems can help retailers to keep track of stock levels and reorder products automatically, reducing the likelihood of stockouts and overstocking. Amazon, Apple, Alibaba, and Walmart are some top companies offering new retail stores. Amazon Go stores are a prime example of how new retail technology is being used to enhance the customer experience. With the use of computer vision, sensors, and machine learning algorithms, customers can simply walk in, pick up the items they need, and walk out without having to go through a checkout counter. The system automatically detects the items and charges the customer’s account. In addition, Apple and Alibaba have also been experimenting with cashier-less stores and leveraging AI for customer personalization. Apple’s “Today at Apple” sessions provide personalized learning experiences to customers based on their interests and skill levels. Alibaba’s Hema stores are another example of how new retail technology is being used to enhance the customer experience. These stores use a combination of mobile apps, AI-powered recommendation engines, and in-store robots to provide a seamless shopping experience. Thus, new retail will offer ample opportunities for retailers to enhance the customer experience, streamline processes, and gain a competitive edge.

Challenge: Concerns over data security in the cloud

Data security is a critical concern for any business, including those in the retail industry that use cloud solutions. When retailers store their data in the cloud, they must ensure it is protected from unauthorized access, data breaches, and other security threats. There are several practices that retailers can follow to ensure data security when migrating to the cloud, such as choosing a reputed cloud vendor, using strong passwords and authentication, monitoring access & usage, and developing a disaster recovery plan in the event of a natural disaster or cyber-attack. In addition, it is also important for retailers to stay up to date with the latest security threats and to continually evaluate and update their security measures as required.

Retail Cloud Ecosystem

Retail Cloud Market Size, and Share

Based on service model, the SaaS segment is projected to hold the largest market share during the forecast period.

SaaS has become increasingly popular in the retail industry as a way to manage key functions such as inventory management, point of sale (POS), and customer relationship management (CRM). By using SaaS solutions, retailers can take advantage of the benefits of cloud computing, including lower costs, scalability, and accessibility from anywhere with an internet connection. One common use of SaaS in retail is for POS systems. Cloud-based POS systems offer several benefits over traditional POS systems, including faster implementation, easier upgrades, and the ability to access sales data and reports from anywhere. Additionally, cloud-based POS systems can be integrated with other SaaS solutions, such as inventory management and CRM, to provide a more complete retail management system.

Based on deployment model, the hybrid cloud segment is projected to witness the highest CAGR during the forecast period.

Hybrid cloud is increasingly being adopted by retailers as it offers the flexibility to integrate various retail applications and workloads across public and private cloud environments. Retailers are using hybrid cloud to support their critical retail functions such as supply chain management, inventory management, customer relationship management, and e-commerce. One of the main advantages of hybrid cloud in retail is that it provides a more cost-effective solution compared to running everything on-premises. Retailers can use public cloud services for non-sensitive workloads such as website hosting, data analytics, and application development, while keeping their sensitive data on-premises or in a private cloud environment. However, hybrid cloud in retail also presents some challenges. Retailers need to ensure that their data and applications are secure across both public and private cloud environments.

Based on Region, North America to hold the largest market share during the forecast period

North America is expected to lead the retail cloud market in 2023. The US is estimated to account for the largest market share in North America in 2023 in the retail cloud market, and the trend is expected to continue until 2028. The growth is mainly due to the growing adoption rate of cloud services across enterprises. In a survey by LogicMonitor, 87% of IT decision-makers in the US said that they plan to increase their use of cloud computing in the coming years. Also, According to Flexera, 97% of organizations in US are now using some form of cloud computing in 2020, up from 93% in 2019. Further, cloud service providers are focusing on launching cloud initiatives to drive the cloud adoption in retail sector. For instance, AWS launched its "AWS Retail Competency" program in 2019, which recognizes partners who have demonstrated technical proficiency and proven customer success in retail-specific categories.

Retail Cloud Market Size, and Share

Key Market Players

The retail cloud market is dominated by a few globally established players such as AWS (US), Microsoft (US), Google (US), Oracle (US),  Salesforce (US), among others, are the key vendors that secured retail cloud contracts in last few years. These vendors can bring global processes and execution expertise to the table, the local players only have local expertise. Driven by increased disposable incomes, easy access to knowledge, and fast adoption of technological products, buyers are more willing to experiment/test new things in the retail cloud market.

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

Value (USD Million/Billion)

Segments covered

Component, Service Model, Deployment Model, Organization Size, and Region

Regions covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

AWS (US), Microsoft (US), Google (US), Oracle (US), Salesforce (US), SAP (Germany), Accenture (Ireland), Alibaba Cloud (China), IBM (US), Cisco (US), VMware (US), Fujitsu (Japan), Blue Yonder (US), Cognizant (US), Workday (US), Infor (US), Rackspace (US), SPS Commerce (US), Atos (France), Epicor (US), Nutanix (US), Lightspeed Commerce (Canada), Tekion (US), SymphonyAI Retail CPG and more.

This research report categorizes the retail cloud market to forecast revenue and analyze trends in each of the following submarkets:

Based on Component:
  • Solutions
    • Supply Chain Management
    • Customer Management
    • Merchandising
    • Workforce Management
    • Reporting & Analytics
    • Data Security
    • Omni-channel
    • Other Solutions
  • Services
    • Professional Services
    • Managed Services
Based on Service Model:
  • SaaS
  • PaaS
  • IaaS
Based on Deployment Model:
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
Based on Organization Size:
  • Large Enterprises
  • SMEs
Based on Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Rest of Asia Pacific
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In April 2023, AI Babtain Group, a trading business in Kuwait extended its use of Oracle Cloud by replacing its legacy applications with Oracle Retail Store Point of Service (POS) systems and Oracle Retail Customer Engagement Cloud Service to provide customers with personalized experience.
  • In March 2023, Salesforce announced Einstein GPT for Commerce Cloud to offer personalized customer experience with AI.
  • In February 2023, Google Cloud announced a collaboration with Accenture to support retailers in modernizing business, including new updates to Accenture’s ai.RETAIL platform, which integrated Google Cloud’s leading capabilities in data analytics, AI, and product discovery.
  • In January 2023, Google Cloud announced four new and updated AI tools to offer a smoother online shopping experience to retail customers and assist retailers in inventory management in the stores.
  • In November 2022, AWS launched AWS Supply Chain, a cloud application which will improve supply chain visibility and provides actionable insights and overcome risk related to supply chain risks, lower costs, and improve customer experiences.
  • In August 2022, Accenture acquired The Stable, a commerce company to help consumer companies operate and build their digital channels and drive sales across the North American region.
  • In February 2022, Best Buy, a consumer electronics retailer, partnered with AWS for cloud infrastructure services and its strategic partner for developing cloud engineering talent.
  • In February 2021, Virgin Megastore was an international retailing chain partnered with SAP to implement SAP Commerce Cloud to provide an omni-channel experience.

Frequently Asked Questions (FAQ):

 

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 36)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY 
           TABLE 1 USD EXCHANGE RATES, 2015–2022
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
 
2 RESEARCH METHODOLOGY (Page No. - 42)
    2.1 RESEARCH DATA 
           FIGURE 1 RETAIL CLOUD MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                               FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
                    2.1.2.2 Key industry insights
    2.2 DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 RETAIL CLOUD MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           FIGURE 4 APPROACH 1 (SUPPLY SIDE): REVENUE OF SERVICES FROM RETAIL CLOUD VENDORS
           FIGURE 5 BOTTOM-UP APPROACH (SUPPLY SIDE): COLLECTIVE REVENUE OF RETAIL CLOUD VENDORS
           FIGURE 6 SUPPLY SIDE: CAGR PROJECTIONS
           FIGURE 7 APPROACH 2 (BOTTOM-UP): REVENUE GENERATED BY RETAIL CLOUD VENDORS FROM EACH SERVICE TYPE
                    FIGURE 8 APPROACH 2 (DEMAND SIDE): REVENUE GENERATED FROM DIFFERENT APPLICATIONS
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 57)
    FIGURE 9 FASTEST-GROWING SEGMENTS IN RETAIL CLOUD MARKET, 2023–2028 
    FIGURE 10 SOLUTIONS TO ACCOUNT FOR LARGER MARKET THAN SERVICES DURING FORECAST PERIOD 
    FIGURE 11 SAAS TO BE LARGEST SERVICE MODEL DURING FORECAST PERIOD 
    FIGURE 12 PUBLIC CLOUD TO ACCOUNT FOR LARGEST DEPLOYMENT MODEL DURING FORECAST PERIOD 
    FIGURE 13 LARGE ENTERPRISES TO BE LARGER ADOPTERS OF RETAIL CLOUD DURING FORECAST PERIOD 
    FIGURE 14 MARKET: REGIONAL SNAPSHOT 
 
4 PREMIUM INSIGHTS (Page No. - 62)
    4.1 OVERVIEW OF RETAIL CLOUD MARKET 
           FIGURE 15 NEED TO ENHANCE CUSTOMER EXPERIENCES ACROSS ALL CHANNELS TO BOOST MARKET GROWTH
    4.2 MARKET, BY COMPONENT 
           FIGURE 16 SOLUTIONS TO ACCOUNT FOR LARGER MARKET SHARE
    4.3 MARKET, BY SOLUTION 
           FIGURE 17 SUPPLY CHAIN MANAGEMENT SOLUTION TO ACCOUNT FOR LARGEST MARKET SHARE
    4.4 MARKET, BY SERVICE 
           FIGURE 18 PROFESSIONAL SERVICES TO ACCOUNT FOR LARGER MARKET SHARE
    4.5 MARKET, BY SERVICE MODEL 
           FIGURE 19 SAAS SERVICE MODEL TO ACCOUNT FOR LARGEST MARKET SHARE
    4.6 MARKET, BY DEPLOYMENT MODEL 
           FIGURE 20 PUBLIC CLOUD TO ACCOUNT FOR LARGEST MARKET SHARE
    4.7 MARKET, BY ORGANIZATION SIZE 
           FIGURE 21 LARGE ENTERPRISES TO ACCOUNT FOR LARGEST MARKET SHARE
    4.8 MARKET: REGIONAL SCENARIO 
           FIGURE 22 ASIA PACIFIC TO EMERGE AS BEST MARKET FOR INVESTMENTS IN NEXT FIVE YEARS
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 66)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 23 MARKET DYNAMICS: RETAIL CLOUD MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Need to enhance online shopping experience
                    5.2.1.2 Growth in adoption of SaaS solutions to meet changing customer preferences
                    5.2.1.3 Accelerated adoption of multi-cloud architecture
           5.2.2 RESTRAINTS
                    5.2.2.1 Integration of cloud-based systems with legacy systems
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Advent of IoT in retail to improve retail management
                    5.2.3.2 Adoption of new retail technologies to integrate online and offline shopping experiences
           5.2.4 CHALLENGES
                    5.2.4.1 Difficulty in switching IT workloads to other cloud vendors
                    5.2.4.2 Concerns over data security in cloud
    5.3 CASE STUDY ANALYSIS 
           5.3.1 GRUPO NAZAN CREATED SEAMLESS SHOPPING EXPERIENCE WITH ORACLE CLOUD SOLUTIONS
           5.3.2 FLEXI MET GROWING DEMAND FOR ONLINE SHOPPING WITH SAP COMMERCE CLOUD SOLUTIONS
           5.3.3 ALIANSCE SONAE SHOPPING CENTERS BUILT BETTER RETAIL EXPERIENCE WITH NUTANIX
           5.3.4 GIBSON BRANDS STREAMLINED ITS BUSINESS AND CREATED IMMERSIVE CUSTOMER EXPERIENCE WITH MICROSOFT DYNAMICS 365
           5.3.5 1-800-FLOWERS.COM, INC. MIGRATED TO IBM COMMERCE ON CLOUD PLATFORM ENVIRONMENT TO INTEGRATE ORDER MANAGEMENT SYSTEMS
    5.4 SUPPLY CHAIN ANALYSIS 
           FIGURE 24 RETAIL CLOUD MARKET: SUPPLY CHAIN
    5.5 ECOSYSTEM 
           FIGURE 25 MARKET: ECOSYSTEM
    5.6 TECHNOLOGICAL ANALYSIS 
           5.6.1 MACHINE LEARNING
           5.6.2 INTERNET OF THINGS
           5.6.3 BLOCKCHAIN
           5.6.4 ARTIFICIAL INTELLIGENCE
    5.7 PRICING ANALYSIS 
           TABLE 3 RETAILCOULD: PRICING ANALYSIS OF VENDORS IN MARKET
           TABLE 4 SHOPIFY: PRICING ANALYSIS OF VENDORS IN MARKET
           TABLE 5 VYAPAR: PRICING ANALYSIS OF VENDORS IN MARKET
    5.8 PATENT ANALYSIS 
           FIGURE 26 NUMBER OF PATENTS PUBLISHED, 2012–2022
           FIGURE 27 TOP FIVE PATENT OWNERS (GLOBAL), 2022
           TABLE 6 US: TOP TEN PATENT APPLICANTS, 2022
           TABLE 7 PATENTS IN RETAIL CLOUD MARKET
    5.9 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 28 PORTER’S FIVE FORCES ANALYSIS
           TABLE 8 PORTER’S FIVE FORCES ANALYSIS
           5.9.1 THREAT OF NEW ENTRANTS
           5.9.2 THREAT OF SUBSTITUTES
           5.9.3 BARGAINING POWER OF SUPPLIERS
           5.9.4 BARGAINING POWER OF BUYERS
           5.9.5 INTENSITY OF COMPETITIVE RIVALRY
    5.10 KEY CONFERENCES AND EVENTS 
           TABLE 9 KEY CONFERENCES AND EVENTS IN 2023 & 2024
    5.11 TARIFF AND REGULATORY LANDSCAPE 
           5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 10 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 13 REST OF THE WORLD: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.11.2 REGULATIONS
                    5.11.2.1 North America
                    5.11.2.2 Europe
                    5.11.2.3 Asia Pacific
                    5.11.2.4 Middle East & Africa
                    5.11.2.5 Latin America
    5.12 TRENDS/DISRUPTIONS IMPACTING BUYERS 
                    FIGURE 29 RETAIL CLOUD MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS
    5.13 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 30 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS
                    TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS
           5.13.2 BUYING CRITERIA
                    FIGURE 31 KEY BUYING CRITERIA FOR END USERS
                    TABLE 15 KEY BUYING CRITERIA FOR END USERS
 
6 RETAIL CLOUD MARKET, BY COMPONENT (Page No. - 89)
    6.1 INTRODUCTION 
           FIGURE 32 RETAIL CLOUD SOLUTIONS TO EDGE OVER SERVICES DURING FORECAST PERIOD
           6.1.1 COMPONENT: MARKET DRIVERS
                    TABLE 16 MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                    TABLE 17 MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
    6.2 SOLUTIONS 
           FIGURE 33 SUPPLY CHAIN MANAGEMENT TO BE LARGEST SOLUTION MARKET DURING FORECAST PERIOD
           TABLE 18 MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
           TABLE 19 MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
           TABLE 20 SOLUTIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 21 SOLUTIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.1 SUPPLY CHAIN MANAGEMENT
                    TABLE 22 SUPPLY CHAIN MANAGEMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 23 SUPPLY CHAIN MANAGEMENT: RETAIL CLOUD MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.2 CUSTOMER MANAGEMENT
                    TABLE 24 CUSTOMER MANAGEMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 25 CUSTOMER MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.3 MERCHANDISING
                    TABLE 26 MERCHANDISING: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 27 MERCHANDISING: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.4 WORKFORCE MANAGEMENT
                    TABLE 28 WORKFORCE MANAGEMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 29 WORKFORCE MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.5 REPORTING & ANALYTICS
                    TABLE 30 REPORTING & ANALYTICS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 31 REPORTING & ANALYTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.6 DATA SECURITY
                    TABLE 32 DATA SECURITY: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 33 DATA SECURITY: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.7 OMNI-CHANNEL
                    TABLE 34 OMNI-CHANNEL SOLUTIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 35 OMNI-CHANNEL SOLUTIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.8 OTHER SOLUTIONS
                    TABLE 36 OTHER SOLUTIONS: RETAIL CLOUD MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 37 OTHER SOLUTIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    6.3 SERVICES 
           TABLE 38 MARKET, BY SERVICE, 2019–2022 (USD MILLION)
           TABLE 39 MARKET, BY SERVICE, 2023–2028 (USD MILLION)
           TABLE 40 SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 41 SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.1 PROFESSIONAL SERVICES
                    TABLE 42 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 43 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.2 MANAGED SERVICES
                    TABLE 44 MANAGED SERVICES: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 45 MANAGED SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
7 RETAIL CLOUD MARKET, BY SERVICE MODEL (Page No. - 110)
    7.1 INTRODUCTION 
           FIGURE 34 SOFTWARE AS A SERVICE TO BE LARGEST SERVICE MODEL FOR RETAIL CLOUD DURING FORECAST PERIOD
           7.1.1 SERVICE MODEL: MARKET DRIVERS
                    TABLE 46 MARKET, BY SERVICE MODEL, 2019–2022 (USD MILLION)
                    TABLE 47 MARKET, BY SERVICE MODEL, 2023–2028 (USD MILLION)
    7.2 SOFTWARE AS A SERVICE 
           TABLE 48 SOFTWARE AS A SERVICE: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 49 SOFTWARE AS A SERVICE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 PLATFORM AS A SERVICE 
           TABLE 50 PLATFORM AS A SERVICE: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 51 PLATFORM AS A SERVICE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.4 INFRASTRUCTURE AS A SERVICE 
           TABLE 52 INFRASTRUCTURE AS A SERVICE: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 53 INFRASTRUCTURE AS A SERVICE: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 RETAIL CLOUD MARKET, BY DEPLOYMENT MODEL (Page No. - 116)
    8.1 INTRODUCTION 
           FIGURE 35 PUBLIC CLOUD TO BE DEPLOYED MORE THAN OTHER MODELS DURING FORECAST PERIOD
           8.1.1 DEPLOYMENT MODEL: MARKET DRIVERS
                    TABLE 54 MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                    TABLE 55 MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
    8.2 PUBLIC CLOUD 
           TABLE 56 PUBLIC CLOUD: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 57 PUBLIC CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 PRIVATE CLOUD 
           TABLE 58 PRIVATE CLOUD: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 59 PRIVATE CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.4 HYBRID CLOUD 
           TABLE 60 HYBRID CLOUD: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 61 HYBRID CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 RETAIL CLOUD MARKET, BY ORGANIZATION SIZE (Page No. - 122)
    9.1 INTRODUCTION 
           FIGURE 36 LARGE ENTERPRISES TO BE LARGER MARKET DURING FORECAST PERIOD
           9.1.1 ORGANIZATION SIZE: MARKET DRIVERS
                    TABLE 62 MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                    TABLE 63 MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
    9.2 SMALL & MEDIUM ENTERPRISES 
           TABLE 64 SMALL & MEDIUM ENTERPRISES: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 65 SMALL & MEDIUM ENTERPRISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 LARGE ENTERPRISES 
           TABLE 66 LARGE ENTERPRISES: MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 67 LARGE ENTERPRISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 RETAIL CLOUD MARKET, BY REGION (Page No. - 128)
     10.1 INTRODUCTION 
               FIGURE 37 NORTH AMERICA TO BE LARGEST REGIONAL MARKET DURING FORECAST PERIOD
               TABLE 68 MARKET, BY REGION, 2019–2022 (USD MILLION)
               TABLE 69 MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.2 NORTH AMERICA 
               TABLE 70 NORTH AMERICA: PESTLE ANALYSIS
             10.2.1 NORTH AMERICA: MARKET DRIVERS
             10.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 71 NORTH AMERICA: RETAIL CLOUD MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                       TABLE 72 NORTH AMERICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 73 NORTH AMERICA: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
                       TABLE 74 NORTH AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 75 NORTH AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                       TABLE 76 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 77 NORTH AMERICA: MARKET, BY SERVICE MODEL, 2019–2022 (USD MILLION)
                       TABLE 78 NORTH AMERICA: MARKET, BY SERVICE MODEL, 2023–2028 (USD MILLION)
                       TABLE 79 NORTH AMERICA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 80 NORTH AMERICA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 81 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 82 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 83 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                       TABLE 84 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.2.3 US
                       10.2.3.1 Rise in adoption rate of cloud services
                                   TABLE 85 US: RETAIL CLOUD MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 86 US: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 87 US: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 88 US: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.2.4 CANADA
                       10.2.4.1 Technological developments and government initiatives
                                   TABLE 89 CANADA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 90 CANADA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 91 CANADA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 92 CANADA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
     10.3 EUROPE 
               TABLE 93 EUROPE: PESTLE ANALYSIS
             10.3.1 EUROPE: MARKET DRIVERS
             10.3.2 EUROPE: RECESSION IMPACT
                       TABLE 94 EUROPE: RETAIL CLOUD MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                       TABLE 95 EUROPE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 96 EUROPE: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
                       TABLE 97 EUROPE: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 98 EUROPE: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                       TABLE 99 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 100 EUROPE: MARKET, BY SERVICE MODEL, 2019–2022 (USD MILLION)
                       TABLE 101 EUROPE: MARKET, BY SERVICE MODEL, 2023–2028 (USD MILLION)
                       TABLE 102 EUROPE: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 103 EUROPE: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 104 EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 105 EUROPE: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 106 EUROPE: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                       TABLE 107 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.3.3 UK
                       10.3.3.1 Early adopter in European technology space
                                   TABLE 108 UK: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 109 UK: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 110 UK: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 111 UK: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.3.4 GERMANY
                       10.3.4.1 Increase in emphasis on data privacy and security
                                   TABLE 112 GERMANY: RETAIL CLOUD MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 113 GERMANY: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 114 GERMANY: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 115 GERMANY: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.3.5 FRANCE
                       10.3.5.1 Accelerated digital transformation with COVID-19 outbreak
                                   TABLE 116 FRANCE: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 117 FRANCE: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 118 FRANCE: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 119 FRANCE: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.3.6 REST OF EUROPE
                       TABLE 120 REST OF EUROPE: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 121 REST OF EUROPE: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 122 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 123 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
     10.4 ASIA PACIFIC 
               TABLE 124 ASIA PACIFIC: PESTLE ANALYSIS
             10.4.1 ASIA PACIFIC: MARKET DRIVERS
             10.4.2 ASIA PACIFIC: RECESSION IMPACT
                       FIGURE 39 ASIA PACIFIC: RETAIL CLOUD MARKET SNAPSHOT
                       TABLE 125 ASIA PACIFIC: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                       TABLE 126 ASIA PACIFIC: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 127 ASIA PACIFIC: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
                       TABLE 128 ASIA PACIFIC: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 129 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                       TABLE 130 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 131 ASIA PACIFIC: MARKET, BY SERVICE MODEL, 2019–2022 (USD MILLION)
                       TABLE 132 ASIA PACIFIC: MARKET, BY SERVICE MODEL, 2023–2028 (USD MILLION)
                       TABLE 133 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 134 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 135 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 136 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 137 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                       TABLE 138 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.4.3 CHINA
                       10.4.3.1 Rapid technological developments facilitate growth of eCommerce
                                   TABLE 139 CHINA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 140 CHINA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 141 CHINA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 142 CHINA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.4.4 JAPAN
                       10.4.4.1 Growth in eCommerce to drive adoption of cloud
                                   TABLE 143 JAPAN: RETAIL CLOUD MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 144 JAPAN: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 145 JAPAN: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 146 JAPAN: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.4.5 INDIA
                       10.4.5.1 Rapid growth and digitalization of Indian retail sector
                                   TABLE 147 INDIA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 148 INDIA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 149 INDIA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 150 INDIA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.4.6 REST OF ASIA PACIFIC
                       TABLE 151 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 152 REST OF ASIA PACIFIC: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 153 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 154 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
     10.5 MIDDLE EAST & AFRICA 
               TABLE 155 MIDDLE EAST & AFRICA: PESTLE ANALYSIS
             10.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
                       TABLE 156 MIDDLE EAST & AFRICA: RETAIL CLOUD MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                       TABLE 157 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 158 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
                       TABLE 159 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 160 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                       TABLE 161 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 162 MIDDLE EAST & AFRICA: MARKET, BY SERVICE MODEL, 2019–2022 (USD MILLION)
                       TABLE 163 MIDDLE EAST & AFRICA: MARKET, BY SERVICE MODEL, 2023–2028 (USD MILLION)
                       TABLE 164 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 165 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 166 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 167 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 168 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                       TABLE 169 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.5.3 SAUDI ARABIA
                       10.5.3.1 Growth in technological advancements with rise in eCommerce activity
                                   TABLE 170 SAUDI ARABIA: RETAIL CLOUD MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 171 SAUDI ARABIA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 172 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 173 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.5.4 UAE
                       10.5.4.1 Smart Dubai initiative and other government initiatives
                                   TABLE 174 UAE: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 175 UAE: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 176 UAE: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 177 UAE: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.5.5 REST OF MIDDLE EAST & AFRICA
                       TABLE 178 REST OF THE MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 179 REST OF THE MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 180 REST OF THE MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 181 REST OF THE MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
     10.6 LATIN AMERICA 
               TABLE 182 LATIN AMERICA: PESTLE ANALYSIS
             10.6.1 LATIN AMERICA: MARKET DRIVERS
             10.6.2 LATIN AMERICA: RECESSION IMPACT
                       TABLE 183 LATIN AMERICA: RETAIL CLOUD MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                       TABLE 184 LATIN AMERICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
                       TABLE 185 LATIN AMERICA: MARKET, BY SOLUTION, 2019–2022 (USD MILLION)
                       TABLE 186 LATIN AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 187 LATIN AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
                       TABLE 188 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 189 LATIN AMERICA: MARKET, BY SERVICE MODEL, 2019–2022 (USD MILLION)
                       TABLE 190 LATIN AMERICA: MARKET, BY SERVICE MODEL, 2023–2028 (USD MILLION)
                       TABLE 191 LATIN AMERICA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 192 LATIN AMERICA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 193 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 194 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 195 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                       TABLE 196 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.6.3 BRAZIL
                       10.6.3.1 Retailers adopting SaaS solutions to manage CRM, eCommerce, and PoS systems
                                   TABLE 197 BRAZIL: RETAIL CLOUD MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 198 BRAZIL: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 199 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 200 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.6.4 MEXICO
                       10.6.4.1 Adoption of cloud-based PoS systems in retail applications
                                   TABLE 201 MEXICO: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                                   TABLE 202 MEXICO: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                                   TABLE 203 MEXICO: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                                   TABLE 204 MEXICO: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
             10.6.5 REST OF LATIN AMERICA
                       TABLE 205 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODEL, 2019–2022 (USD MILLION)
                       TABLE 206 REST OF LATIN AMERICA: MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
                       TABLE 207 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2022 (USD MILLION)
                       TABLE 208 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
 
11 COMPETITIVE LANDSCAPE (Page No. - 184)
     11.1 OVERVIEW 
     11.2 MARKET EVALUATION FRAMEWORK 
     11.3 KEY PLAYER STRATEGIES/RIGHT TO WIN 
               TABLE 209 OVERVIEW OF STRATEGIES ADOPTED BY KEY RETAIL CLOUD VENDORS
     11.4 REVENUE ANALYSIS 
               FIGURE 40 HISTORICAL FOUR-YEAR REVENUE ANALYSIS OF LEADING PLAYERS, 2018–2022 (USD MILLION)
     11.5 COMPANY FINANCIAL METRICS 
               FIGURE 41 TRADING COMPARABLES, 2023 (EV/EBITDA)
     11.6 GLOBAL SNAPSHOT OF KEY MARKET PARTICIPANTS 
               FIGURE 42 GLOBAL SNAPSHOT OF KEY MARKET PARTICIPANTS, 2022
     11.7 MARKET SHARE ANALYSIS 
               FIGURE 43 RETAIL CLOUD MARKET: MARKET SHARE ANALYSIS, 2022
               TABLE 210 MARKET: DEGREE OF COMPETITION
     11.8 COMPANY EVALUATION QUADRANT 
               FIGURE 44 COMPANY EVALUATION QUADRANT: CRITERIA WEIGHTAGE
             11.8.1 STARS
             11.8.2 EMERGING LEADERS
             11.8.3 PERVASIVE PLAYERS
             11.8.4 PARTICIPANTS
                       FIGURE 45 MARKET: KEY COMPANY EVALUATION QUADRANT, 2022
             11.8.5 COMPANY PRODUCT FOOTPRINT ANALYSIS
                       TABLE 211 KEY COMPANY PRODUCT FOOTPRINT
                       FIGURE 46 RANKING OF KEY PLAYERS IN MARKET, 2022
     11.9 STARTUP/SME EVALUATION QUADRANT 
               FIGURE 47 STARTUP/SME EVALUATION QUADRANT: CRITERIA WEIGHTAGE
             11.9.1 PROGRESSIVE COMPANIES
             11.9.2 RESPONSIVE COMPANIES
             11.9.3 DYNAMIC COMPANIES
             11.9.4 STARTING BLOCKS
                       FIGURE 48 MARKET: STARTUP/SME COMPANY EVALUATION QUADRANT, 2022
             11.9.5 COMPETITIVE BENCHMARKING
                       TABLE 212 RETAIL CLOUD MARKET: DETAILED LIST OF KEY STARTUPS/SMES
                       TABLE 213 STARTUP/SME PRODUCT FOOTPRINT
     11.1 KEY MARKET DEVELOPMENTS 
             11.10.1 PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 214 PRODUCT LAUNCHES & ENHANCEMENTS, 2021–2023
             11.10.2 DEALS
                       TABLE 215 DEALS, 2021–2023
 
12 COMPANY PROFILES (Page No. - 201)
     12.1 INTRODUCTION 
     12.2 KEY PLAYERS 
(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View)*
             12.2.1 AWS
                       TABLE 216 AWS: BUSINESS OVERVIEW
                       FIGURE 49 AWS: COMPANY SNAPSHOT
                       TABLE 217 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 218 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 219 AWS: DEALS
             12.2.2 MICROSOFT
                       TABLE 220 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 50 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 221 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 222 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 223 MICROSOFT: DEALS
             12.2.3 GOOGLE
                       TABLE 224 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 51 GOOGLE: COMPANY SNAPSHOT
                       TABLE 225 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 226 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 227 GOOGLE: DEALS
             12.2.4 ORACLE
                       TABLE 228 ORACLE: BUSINESS OVERVIEW
                       FIGURE 52 ORACLE: COMPANY SNAPSHOT
                       TABLE 229 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 230 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 231 ORACLE: DEALS
             12.2.5 SALESFORCE
                       TABLE 232 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 53 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 233 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 234 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 235 SALESFORCE: DEALS
             12.2.6 SAP
                       TABLE 236 SAP: BUSINESS OVERVIEW
                       FIGURE 54 SAP: COMPANY SNAPSHOT
                       TABLE 237 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 238 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 239 SAP: DEALS
             12.2.7 ACCENTURE
                       TABLE 240 ACCENTURE: BUSINESS OVERVIEW
                       FIGURE 55 ACCENTURE: COMPANY SNAPSHOT
                       TABLE 241 ACCENTURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 242 ACCENTURE: DEALS
             12.2.8 ALIBABA CLOUD
                       TABLE 243 ALIBABA CLOUD: BUSINESS OVERVIEW
                       FIGURE 56 ALIBABA CLOUD: COMPANY SNAPSHOT
                       TABLE 244 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 245 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 246 ALIBABA CLOUD: DEALS
             12.2.9 IBM
                       TABLE 247 IBM: BUSINESS OVERVIEW
                       FIGURE 57 IBM: COMPANY SNAPSHOT
                       TABLE 248 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 249 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 250 IBM: DEALS
             12.2.10 CISCO
                       TABLE 251 CISCO: BUSINESS OVERVIEW
                       FIGURE 58 CISCO: COMPANY SNAPSHOT
                       TABLE 252 CISCO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 253 CISCO: DEALS
             12.2.11 VMWARE
             12.2.12 FUJITSU
             12.2.13 BLUE YONDER
             12.2.14 COGNIZANT
             12.2.15 WORKDAY
             12.2.16 INFOR
             12.2.17 RACKSPACE
             12.2.18 SPS COMMERCE
             12.2.19 ATOS
             12.2.20 EPICOR
             12.2.21 NUTANIX
             12.2.22 LIGHTSPEED COMMERCE
             12.2.23 TEKION
             12.2.24 SYMPHONYAI RETAIL CPG
     12.3 SMES/STARTUPS 
             12.3.1 CLOVER NETWORK
             12.3.2 RAPIDSCALE
             12.3.3 RETAILCLOUD
             12.3.4 RETAIL SOLUTIONS
             12.3.5 BRIGHTPEARL
             12.3.6 KLIGER-WEISS INFOSYSTEMS
             12.3.7 OPENBRAVO
             12.3.8 IVEND RETAIL BY CITIXSYS
             12.3.9 IQMETRIX
             12.3.10 ONE STEP RETAIL SOLUTIONS
             12.3.11 RETAILOPS
* Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
 
13 ADJACENT MARKETS (Page No. - 260)
     13.1 INTRODUCTION 
               TABLE 254 RELATED MARKETS
     13.2 RETAIL POINT OF SALE MARKET 
               TABLE 255 RETAIL POS MARKET, BY PRODUCT, 2014–2019 (USD MILLION)
               TABLE 256 RETAIL POS MARKET, BY PRODUCT, 2019–2026 (USD MILLION)
               TABLE 257 RETAIL POS MARKET, BY COMPONENT, 2014–2019 (USD MILLION)
               TABLE 258 RETAIL POS MARKET, BY COMPONENT, 2019–2026 (USD MILLION)
               TABLE 259 RETAIL POS MARKET, BY END USER, 2014–2019 (USD MILLION)
               TABLE 260 RETAIL POS MARKET, BY END USER, 2019–2026 (USD MILLION)
               TABLE 261 RETAIL POS MARKET, BY REGION, 2014–2019 (USD MILLION)
               TABLE 262 RETAIL POS MARKET, BY REGION, 2020–2026 (USD MILLION)
     13.3 CLOUD COMPUTING MARKET 
               TABLE 263 CLOUD COMPUTING MARKET, BY SERVICE MODEL, 2017–2021 (USD BILLION)
               TABLE 264 CLOUD COMPUTING MARKET, BY SERVICE MODEL, 2022–2027 (USD BILLION)
               TABLE 265 CLOUD COMPUTING MARKET, BY IAAS, 2017–2021 (USD BILLION)
               TABLE 266 CLOUD COMPUTING MARKET, BY IAAS, 2022–2027 (USD BILLION)
               TABLE 267 CLOUD COMPUTING MARKET, BY PAAS, 2017–2021 (USD BILLION)
               TABLE 268 CLOUD COMPUTING MARKET, BY PAAS, 2022–2027 (USD BILLION)
               TABLE 269 CLOUD COMPUTING MARKET, BY SAAS, 2017–2021 (USD BILLION)
               TABLE 270 CLOUD COMPUTING MARKET, BY SAAS, 2022–2027 (USD BILLION)
               TABLE 271 CLOUD COMPUTING MARKET, BY VERTICAL, 2017–2021 (USD BILLION)
               TABLE 272 CLOUD COMPUTING MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
               TABLE 273 CLOUD COMPUTING MARKET, BY REGION, 2017–2021 (USD BILLION)
               TABLE 274 CLOUD COMPUTING MARKET, BY REGION, 2022–2027 (USD BILLION)
               TABLE 275 CLOUD COMPUTING MARKET, BY DEPLOYMENT MODEL, 2017–2021 (USD BILLION)
               TABLE 276 CLOUD COMPUTING MARKET, BY DEPLOYMENT MODEL, 2022–2027 (USD BILLION)
               TABLE 277 CLOUD COMPUTING MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD BILLION)
               TABLE 278 CLOUD COMPUTING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
 
14 APPENDIX (Page No. - 270)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATION OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

The study involved four major activities in estimating the current market size of the retail cloud market. Extensive secondary research was done to collect information on the market, the competitive market, and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the various segments in the retail cloud market.

Secondary Research

This research study used extensive secondary sources, directories, and databases, such as D&B Hoovers, DiscoverOrg, Factiva, vendor data sheets, product demos, Cloud Computing Association (CCA), Vendor Surveys, Asia Cloud Computing Association, and The Software Alliance. All these sources were referred to for identifying and collecting information useful for this technical, market-oriented, and commercial study of the retail cloud market.

Primary Research

Primary sources were several industry experts from the core and related industries, preferred software providers, hardware manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of the industry’s value chain. In-depth interviews were conducted with various primary respondents, including key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Primary interviews were conducted to gather insights, such as market statistics, the latest trends disrupting the market, new use cases implemented, data on revenue collected from products and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, segmentation types, industry trends, and regions. Demand-side stakeholders, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Security Officers (CSOs); the installation teams of governments/end users using Retail Cloud; and digital initiatives project teams, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current use of services, which would affect the overall retail cloud market.

Retail Cloud Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and forecast the retail cloud market and other dependent submarkets. The bottom-up procedure was deployed to arrive at the overall market size using the revenues and offerings of key companies in the market. With data triangulation methods and validation through primary interviews, this study determined and confirmed the exact value of the overall parent market size. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segments.

Data Triangulation

After arriving at the overall market size—using the market size estimation processes as explained above—the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The data was triangulated by studying several factors and trends from both the demand and supply sides in the retail cloud market.

Market Definition

Retail cloud  is the implementation of cloud computing in retail sectors such as food, clothing & textiles, consumer durables, footwear, jewelry, books-music-gift articles, and fuel to handle the entire back-end process of retail operation, including order processing, inventory management, fulfillment and shipping. In addition to cost savings, improved security, flexibility, scalability, and disaster management, retail cloud solutions help create new products based on consumer reviews and feedback, provide personalized customer experience, and manage inventory more efficiently.

Key Stakeholders

  • Technology service providers
  • Cloud service providers (CSPs)
  • Colocation providers
  • Government organizations
  • Networking companies
  • Consultants/consultancies/advisory firms
  • Support and maintenance service providers
  • Telecom service providers
  • Information Technology (IT) infrastructure providers
  • System Integrators (SIs)
  • Regional associations
  • Independent software vendors (ISVs)
  • Value-added resellers and distributors

Report Objectives

  • To define, describe, and forecast the global retail cloud market based on component (solutions and services), service model (SaaS, PaaS, IaaS), deployment model (public cloud, private cloud, hybrid cloud), organization size, and region.
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the market
  • To analyze the market with respect to individual growth trends, prospects, and contributions to the overall market
  • To forecast the market size of main regions: North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and Latin America
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To profile the key players in the retail cloud market and comprehensively analyze their core competencies in each subsegment.
  • To track and analyze competitive developments, such as mergers and acquisitions, new product launches, and partnerships and collaborations, in the market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
  • Further breakup of the North American market into countries contributing 75% to the regional market size
  • Further breakup of the Latin American market into countries contributing 75% to the regional market size
  • Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
  • Further breakup of the European market into countries contributing 75% to the regional market size

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
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