Press Release

Retail Cloud Market Demand, Growth, Opportunities and Forecast 2026

Retail Cloud Market 2019: Global Industry Size, Segments, Share and Growth Factor Analysis Research Report 2026

The Global Retail Cloud Market is expected to witness exponential growth in the near future, because of the partnerships, mergers and acquisitions, and product launches by companies worldwide. Fortune Business Insights in their report, titled “Retail Cloud Market Size, Share and Industry Analysis, By Model Type (Infrastructure as a Service, Platform as a Service and Software as a Service), By Deployment (Public, Private and Hybrid Cloud), By Solution (Supply Chain Management, Workforce Management, Customer Management, Reporting and Analytics, Data Security, Omni-Channel and Others), By Enterprise Size (Small and Medium and Large Enterprise) and Regional Forecast, 2019-2026,” predicts such initiatives to bode well for the market growth.

According to the report, the market is anticipated to be rise from USD 11.89 Billion in 2018 and be worth USD 39.63 Billion by the end of 2026. The forecast figure is set from 2019 to 2026 and the market is expected to rise at a CAGR of 16.3%.

The report provides a thorough analysis of the retail cloud market primarily focusing on growth drivers, restraints, trends and opportunities. Various companies functioning in the market are listed in the report. All information presented in the report is gathered from both primary and secondary research methods. The report is available for sale on the Fortune Business Insights website.

Browse Complete Report Details –

The Prominent Companies Operating In The Global Retail Cloud Market Include:

  • Oracle Corporation
  • Infor
  • Alibaba Group
  • Fujitsu
  • Baidu
  • JDA Software Group
  • SAP SE
  • Cisco Systems Inc.
  • AWS
  • Microsoft Corporation
  • Google

Based on the solution, the market is dominated by reporting and analytics and data security segments because of the support these segments provide to the retail cloud computing by the formulating smart advertising and marketing strategies. To cite an instance, retail giants such as eBay and Amazon are using smart advertising in order to increase their product preferences as per different customers by studying the shopping behavior of each customer. The success of smart advertising has propelled the demand for reporting and analytics, thus making this segment generate high revenue in the forecast period. In addition to the segmentation, the report also discusses the retail cloud market trends and analyses the competitive landscape in detail.

Omni-Channel Retailing to Attract High Revenue to Market

The advent of artificial intelligence (AI) is a major factor boosting the retail cloud market. AI provides retailers the capability to an efficient in-store operation experience for managing their supply chain management and new inventory management systems. Apart from this, AI also provides precise marketing strategies, combined with personalized support and experience that helps the retail enterprises in attracting more consumers to their product. The two most important benefits from the adoption of AI into retail cloud support are improved customer support and experience. The aforementioned factors are thus expected to increase the retail cloud-scale unit in the forthcoming years.

Besides that, the advent of omnichannel retailing into the retail cloud sector will also help the market generate high revenue. Omni-channel connects all the communication channels between customers and the enterprise for creating a unified experience. As per a retail cloud salesforce study, about 73% of consumers choose multiple channels for their shopping experience in order to ensure themselves of a fair deal. This helps the retailers to focus on enhancing an omnichannel experience for their consumers thus, attracting more revenue to the market globally.

Get PDF Brochure –

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 and Africa (South Africa, GCC, and the Rest of Middle East and Africa)
  • Latin America (Brazil, Mexico, and the Rest of Latin America)

Order Full Report –

About us:

Fortune Business Insights™ offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in.

At Fortune Business Insights™ we aim at highlighting the most lucrative growth opportunities for our clients. We, therefore, offer recommendations, making it easier for them to navigate through technological and market-related changes. Our consulting services are designed to help organizations identify hidden opportunities and understand prevailing competitive challenges.

Contact Us:

Fortune Business Insights™ Pvt. Ltd.

US :+1 424 253 0390
UK : +44 2071 939123
APAC : +91 744 740 1245

Email: [email protected]

Fortune Business Insights™
LinkedIn | Twitter | Blogs


Ruby Arterburn

Ruby is leading the team writing for artificial intelligence. She is a newcomer in the organization and has already made her base and reputation with her hard work and her efficiency towards her field. Being a student of computer science it has become easier for her to understand the objectives and the expected results of this column. She is also an excellent cook, and now and then, and we get the opportunity to taste her deliciously baked cookies.

Related Articles