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Retail Cloud Market is expected to generate a revenue of USD 238.9 Billion by 2032, Globally, at 19.8% CAGR: Verified Market Research®

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Verified Market Research®, a leading provider of business intelligence and market analysis is thrilled to announce the release of its comprehensive and authoritative report on the Retail Cloud Market. The Retail Cloud Market is experiencing rapid expansion driven by the increasing adoption of Omni channel retail strategies and AI-powered customer engagement. However, concerns over data security and integration complexities pose challenges to market growth.

LEWES, Del., March 17, 2025 /PRNewswire/ — The Global Retail Cloud Market Size is projected to grow at a CAGR of 19.8% from 2025 to 2032, according to a new report published by Verified Market Research®. The report reveals that the market was valued at USD 56.3 Billion in 2024 and is expected to reach USD 238.9 Billion by the end of the forecast period.

The retail cloud market is evolving as retailers seek scalable, flexible, and cost-efficient solutions to manage operations, customer engagement, and analytics. Cloud technologies enable retailers to improve inventory management, enhance personalized marketing, and streamline point-of-sale (POS) transactions. The rising trend of AI-driven analytics, edge computing, and automation is further accelerating market growth. As competition intensifies, cloud service providers are focusing on security enhancements and compliance adherence to address data protection concerns.

Key Highlights of the Market Report:

Market Growth Drivers: The rise of e-commerce, the need for personalized shopping experiences, and the shift toward AI-driven analytics are fueling market expansion.Challenges & Restraints: Data privacy concerns, cybersecurity threats, and legacy system integration complexities hinder market adoption.Regional Insights: North America dominates due to its advanced digital infrastructure, while Asia-Pacific is witnessing rapid growth due to increasing retail digitization.Competitive Landscape: Key players such as Microsoft, AWS, and Google Cloud are investing in AI, machine learning, and automation to strengthen their market presence.

Why This Report Matters?

This report offers a comprehensive analysis of market trends, growth opportunities, and competitive dynamics. It provides businesses with strategic insights to navigate evolving consumer demands and technological advancements.

Who Should Read This Report?

Retail industry executives seeking cloud adoption strategies.IT and digital transformation leaders evaluating cloud service providers.Investors and stakeholders analyzing growth opportunities in retail cloud solutions.Technology providers developing cloud-based retail applications.Regulatory and compliance professionals monitoring data security trends in the retail sector.

For more information or to purchase the report, please contact us at: https://www.verifiedmarketresearch.com/download-sample?rid=481518

202 – Pages

126 – Tables

37 – Figures

Report Scope

REPORT ATTRIBUTES

DETAILS

STUDY PERIOD

2021-2032

BASE YEAR

2024

FORECAST PERIOD

2025-2032

HISTORICAL PERIOD

2021-2023

UNIT

Value in USD Billion

KEY COMPANIES PROFILED

AWS, Microsoft, Google, Oracle, Salesforce, SAP, Accenture, Alibaba Cloud, IBM, and Cisco.

SEGMENTS COVERED

By Component, By Deployment Model, By Organization Size, And By Geography

CUSTOMIZATION SCOPE

Free report customization (equivalent to up to 4 analyst working days) with purchase. Addition or alteration to country, regional & segment scope.

 

Global Retail Cloud Market Overview

Key Market Drivers

Omnichannel Retail Expansion and Digital Transformation: The rising desire for integrated shopping experiences across online and offline platforms is prompting merchants to implement cloud solutions. The retail cloud facilitates instantaneous inventory oversight, tailored marketing strategies, and AI-enhanced customer interaction. Enterprises utilizing cloud technology can refine operations, improve scalability, and optimize supply chains. As digital transformation intensifies, retailers are significantly investing in cloud systems to maintain competitiveness and address changing consumer expectations.

AI and Data Analytics for Enhanced Customer Insights: Retailers are progressively implementing AI-driven analytics and cloud-based data management to obtain enhanced insights into consumer behavior. Cloud solutions facilitate predictive analytics, tailored product recommendations, and demand forecasts, thereby improving sales and operational efficiency. The capacity to analyze extensive consumer data instantaneously enables retailers to customize marketing campaigns and enhance client retention. The increasing dependence on AI-driven retail cloud solutions is propelling market expansion.

Cost Efficiency and Scalability of Cloud Solutions: Retail cloud platforms provide a cost-efficient substitute for conventional IT infrastructure by obviating the necessity for costly hardware and diminishing maintenance expenses. Cloud-based retail solutions facilitate the easy scaling of business operations, accommodating variations in demand. Subscription-based pricing models and pay-as-you-go frameworks enhance uptake, enabling retailers to optimize expenses while utilizing advanced technologies. This financial flexibility renders cloud adoption a strategic initiative for retailers pursuing sustained expansion.

To Purchase a Comprehensive Report Analysis: https://www.verifiedmarketresearch.com/select-licence?rid=481518

Market Restraints Hindering the Market Growth

Data Security and Privacy Concerns: As the volume of customer data in cloud settings increases, merchants encounter elevated cybersecurity risks and data privacy issues. Regulatory frameworks like GDPR and CCPA mandate that enterprises establish stringent compliance protocols, hence complicating cloud adoption. Data breaches, ransomware incidents, and unauthorized access continue to pose substantial concerns, deterring several retailers from completely adopting cloud technology. Confronting these security challenges is essential for the continued expansion of the Retail Cloud Market.

Integration Challenges with Legacy Systems: Numerous retailers utilize outdated IT systems that lack compatibility for seamless cloud connectivity. The migration process may be intricate, necessitating considerable time, resources, and technical proficiency. Compatibility concerns, data synchronization difficulties, and workflow interruptions impede seamless cloud adoption. Retailers must address integration problems while minimizing operational disruptions, which can impede cloud adoption rates, especially among conventional brick-and-mortar enterprises.

High Dependence on Network Infrastructure: The efficacy of cloud-based retail systems is significantly dependent on stable and high-speed internet connectivity. Retailers in areas with inadequate network connectivity encounter difficulties in obtaining real-time data, administering cloud applications, and providing uninterrupted consumer experiences. Downtime, latency problems, and inconsistent network performance can adversely affect business operations, resulting in revenue losses. This reliance on robust internet access is an obstacle to cloud adoption, especially in emerging economies and rural regions.

Geographical Dominance:

North America Leads the Retail Cloud Market with Advanced Digital Infrastructure

North America leads the Retail Cloud Market, propelled by elevated cloud adoption rates, a robust e-commerce landscape, and sophisticated AI-driven retail technology. The United States dominates with prominent cloud service companies such as AWS, Microsoft Azure, and Google Cloud investing in artificial intelligence, cybersecurity, and automation. Simultaneously, the Asia-Pacific region is emerging as a high-growth area, driven by swift retail digitization, the expansion of mobile commerce, and rising investments in cloud technology.

Key Players

The “Global Retail Cloud Market” study report will provide a valuable insight with an emphasis on the global market.  The major players in the market are AWS, Microsoft, Google, Oracle, Salesforce, SAP, Accenture, Alibaba Cloud, IBM, and Cisco.

Retail Cloud Market Segment Analysis

Based on the research, Verified Market Research has segmented the market into Component, Deployment Model, Organization Size, and Geography.

Retail Cloud Market, by ComponentSolutionsServicesRetail Cloud Market, by Deployment ModelPublic CloudPrivate CloudHybrid CloudRetail Cloud Market, by Organization SizeLarge EnterprisesSMEsRetail Cloud Market, by GeographyNorth AmericaU.SCanadaMexicoEuropeGermanyFranceU.KRest of EuropeAsia PacificChinaJapanIndiaRest of Asia PacificROWMiddle East & AfricaLatin America

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Tony Jaa Becomes GAC’s 30-Millionth Customer – GAC Wins Global Trust with “True Craftsmanship”

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GUANGZHOU, China, July 25, 2026 /PRNewswire/ — On July 16, at the roll-off ceremony for GAC’s 30-millionth vehicle, Feng Xingya, Chairman of GAC Group, handed over the key to the right-hand-drive GAC M8 PHEV (named GN8 overseas) to Tony Jaa. The milestone vehicle is headed straight for overseas markets.

Thai action superstar Tony Jaa’s choice reflects the trust of 30 million customers worldwide. That trust is built not on showmanship, but on GAC’s solid manufacturing “true craftsmanship.”

From Guangzhou to the world, there are no shortcuts – quality speaks for itself. While the industry runs standard “three-high” tests, GAC pushes further with “five-high, one-mountain, one-dust” extreme vehicle trials. New models undergo at least “two winters and one summer” of validation – a minimum 18 months of real-world road testing, covering 12 major categories and over 1,500 sub-items across wind tunnel labs and proving grounds.

For each overseas market, GAC conducts additional adaptive testing for local climate and road conditions – from Middle Eastern desert heat to Southeast Asia’s humidity and heavy rains.

Quality consistency starts at the smart manufacturing front. GAC’s AION Intelligent Eco-Plant is the world’s first “Lighthouse Factory” for new energy vehicles, featuring full-process digital quality monitoring. Automated robots with AI vision systems deliver millisecond response and millimeter-level precision – ensuring uniform quality whether vehicles roll off lines in Guangzhou or overseas plants.

Safety comes first. GAC’s magazine battery has been deployed in 1.5 million vehicles, accumulating over 160 billion kilometers of safe driving. The Starlink Safety Protection System serves nearly 2 million users, preventing 6.28 million potential incidents.

With this commitment to quality and safety, GAC has established a presence in 110 countries and won the trust of 30 million users. Standing at this new milestone, GAC will continue to refine its craftsmanship and deliver worry-free, high-quality mobility experiences to every customer worldwide.

For further information about GAC, please visit: https://www.gacgroup.com/en or follow us on social media.

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Alisira OÜ Publishes Findings on Why Most Marketing Dashboards Miss the Metrics That Matter

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Alisira OÜ has published a set of findings examining why so many marketing dashboards continue to fail to surface the numbers that actually shape decisions. The review looks at the gap between the volume of data modern platforms can collect and the amount that actually gets used when a marketing team sits down to figure out what is supposed to happen next.

TALLINN, Estonia, July 25, 2026 /PRNewswire-PRWeb/ — A Widening Gap Between Data Collection and Decision-Making

What there is often a shortage of, according to Alisira, is a dashboard that actually connects the numbers it displays to a decision someone in the room is genuinely trying to make. That distinction is where most measurement setups tend to fall apart quietly. A dashboard can be full of activity metrics, things like impressions, click volume, and session counts, without ever getting around to answering the question a budget owner is really asking. That question is usually some version of whether a given effort is working and whether more resources should be put behind it. Engagement is easy to display. Revenue contribution by channel takes more work to calculate correctly, particularly once multiple touchpoints and delayed purchases are involved, so it is the piece that tends to be most often left out of the weekly report. However, it is also the piece that leadership actually cares about when the conversation turns serious.

Where Standard Dashboards Fall Short

Alisira’s review identifies several categories of metrics that tend to be underrepresented on standard marketing dashboards, even in cases where the underlying data would in principle be accessible:

Cross-channel attribution, as opposed to last-click or single-platform creditCustomer lifetime value by acquisition source, rather than only first-purchase conversion ratesTime-to-conversion, which is frequently collapsed into a single count with no indication of the lag that is actually involvedAssisted conversions, where a channel contributed to a sale without being the final touchpointCohort-based retention figures, in place of a single blended retention % that has a tendency to hide which groups are actually staying and which are quietly leaving

Part of the difficulty is traceable back to how fragmented most measurement setups tend to be in the first place. Only 32% of marketers globally measure their media spending across both digital and traditional channels, according to Nielsen, which leaves the majority of teams working from a partial view before the dashboard-design questions have even come into play. Alisira’s findings suggest this is less a tooling problem than it is a structural one. What most organizations lack, more often than not, is a single point in the workflow where channel-level data is reconciled before it reaches a decision-maker in a usable form.

Alisira OÜ frames these findings as part of a broader shift away from dashboards built to display everything a platform can track, toward dashboards built around a smaller, more deliberate set of numbers tied to what a team actually decides to do next. The company plans to continue publishing analysis on measurement practices and marketing reporting in the months ahead.

Media Contact

Norman Drew, Alisira OÜ, 372 53687131, info@alisira.net, https://www.alisira.net/

View original content:https://www.prweb.com/releases/alisira-ou-publishes-findings-on-why-most-marketing-dashboards-miss-the-metrics-that-matter-302833819.html

SOURCE Alisira OÜ

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Hyundai Motor Group Executive Chair Euisun Chung Announces Physical AI Vision at San Francisco AI Summit

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Hyundai Motor Group shares roadmap for realizing its Physical AI vision and collaboration strategy with global tech leaders at the San Francisco AI Summit
Executive Chair Euisun Chung presented, “Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing to become a Physical AI solution company,” adding, “The ultimate Physical AI vision we pursue is the realization of integrated intelligence at the city level”
The Group to leverage manufacturing competitiveness and leading robotics capabilities centered on Boston Dynamics, while establishing a data flywheel system connecting real-world operational data with continuous AI model advancement
The Group to leverage strategic partnerships with global technology leaders, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind
The Group to collaborate with NVIDIA to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities

… The initiative to support Korea’s Physical AI industry through an open ecosystem

The Group to cultivate strategic domestic hubs through investments in Saemangeum AI Valley and future advanced industries in Korea’s Yeongnam region

SAN FRANCISCO, July 25, 2026 /PRNewswire/ — Hyundai Motor Group (the Group) Executive Chair Euisun Chung today outlined the Group’s vision and strategy for Physical AI at the San Francisco AI Summit held in San Francisco, California.

The event brought together approximately 150 attendees, including Executive Chair Chung, business leaders from major Korean companies, executives from leading U.S. technology firms, startup representatives and students.

At the summit, Executive Chair Chung presented the Group’s roadmap for advancing Physical AI and outlined strategic collaboration plans with global technology leaders.

“Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing by expanding into autonomous driving, robotics and AI Defined Factories, accelerating our transformation into a Physical AI solution company.” — Hyundai Motor Group Executive Chair Euisun Chung

Accelerating the Transition to a Physical AI Solution Company

Hyundai Motor Group’s Physical AI vision extends beyond intelligent devices such as vehicles and robots to intelligent spaces, including AI factories where AI seamlessly connects and optimizes entire operations. Ultimately, the Group envisions integrated intelligence at the city level, where urban infrastructure is organically connected and operated through AI.

A key differentiator for the Group is its ability to create a data flywheel that continuously connects real-world operations with AI advancement. Drawing on extensive experience in large-scale manufacturing, mobility, robotics and service operations, the Group is positioned to deploy, refine and scale Physical AI technologies in real industrial environments.

Executive Chair Chung also outlined strategic partnerships with leading technology companies, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind, to further advance Physical AI capabilities.

By combining Hyundai Motor Group’s manufacturing competitiveness, mobility and robotics technologies and extensive operational data with the AI infrastructure and algorithm capabilities of global technology leaders, the Group aims to help foster a new innovation ecosystem for the Physical AI era.

Executive Chair Chung also introduced initiatives designed to support the growth of Korea’s robotics and AI ecosystem, including the development of a Robot Reference Platform with NVIDIA that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities, as well as investments in initiatives such as the Saemangeum AI Valley.

Physical AI Vision: From Intelligent Devices to Integrated Intelligence at the City Level

During the summit, Executive Chair Chung presented Hyundai Motor Group’s Physical AI vision.

“The ultimate Physical AI vision Hyundai Motor Group pursues begins with intelligent devices such as vehicles and robots, expands to intelligent spaces such as AI factories, and ultimately realizes integrated intelligence at the city level, where urban infrastructure is seamlessly connected and operated.” — Hyundai Motor Group Executive Chair Chung

The Group’s vision begins with intelligent devices, where AI capabilities enhance vehicles and robots. It then expands to intelligent spaces, including AI factories where AI autonomously integrates logistics, production and quality management across entire operations.

Ultimately, Hyundai Motor Group envisions city-level intelligence, where critical infrastructure and assets — including energy, mobility and robotics systems — are connected and optimized in real time.

Executive Chair Chung also highlighted the Group’s key strengths in realizing its Physical AI vision:

World-class manufacturing competitiveness: Hyundai Motor Group has built extensive expertise through decades of operating global manufacturing facilities, managing quality systems and optimizing supply chains. This foundation enables the Group to apply AI technologies to products, processes and services while rapidly validating and scaling innovations in real-world environments.
Leading robotics capabilities: Hyundai Motor Group has established robotics as a key pillar of its future business portfolio. Boston Dynamics’ quadruped robot Spot®, logistics robot Stretch®, and Hyundai Motor Group Robotics LAB’s next-generation mobile robot platform MobED are recognized for combining technological competitiveness with real-world applicability.

In particular, the humanoid robot Atlas® is emerging as a representative example of Physical AI, supporting and collaborating with people across manufacturing, logistics and mobility environments.

Establishing a data flywheel system: Hyundai Motor Group is establishing a data flywheel system that leverages data generated across manufacturing operations, vehicles, logistics systems and robotics demonstrations to continuously advance AI models. Enhanced algorithms are then reapplied to real-world operations, creating a virtuous cycle that improves performance and strengthens Physical AI capabilities.

Accelerating the Future of Physical AI Through Partnerships with Global Tech Leaders

Executive Chair Chung also outlined concrete initiatives to position Hyundai Motor Group as a leader in human-centered Physical AI through strategic collaborations with NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind.

“By combining Hyundai Motor Group’s strengths in manufacturing, robotics and data with the capabilities of global technology leaders, we can help create a new innovation ecosystem for the Physical AI era.” — Hyundai Motor Group Executive Chair Euisun Chung

NVIDIA – Advancing Physical AI infrastructure and talent development

Hyundai Motor Group is expanding collaboration with NVIDIA to strengthen Physical AI infrastructure and cultivate AI talent. Building on a supply agreement for 50,000 NVIDIA Blackwell GPUs and a memorandum of understanding signed last year to advance Korea’s Physical AI capabilities, the Group is pursuing a range of initiatives, including the establishment of Hyundai Motor Group Robot Application Center, as well as various collaborations aimed at strengthening Korea’s Physical AI infrastructure and AI talent ecosystem, including the NVIDIA’s AI Technology Center.

In manufacturing, the Group is leveraging NVIDIA’s platform to create more sophisticated digital twins of production facilities, enhancing process design, operational optimization and validation efficiency. The collaboration also includes the integration of NVIDIA’s autonomous driving solutions, including automotive semiconductors, sensors and architecture, with Hyundai Motor Group vehicle platforms.

Waymo – Strengthening autonomous driving collaboration

Hyundai Motor Group continues to strengthen its strategic partnership with Waymo in the autonomous driving sector to support the development of a safe and innovative autonomous driving ecosystem. Autonomous driving vehicles require a wide range of specialized capabilities, including redundant systems for steering, braking, power and communications, dedicated features such as power-operated doors, as well as enhanced functional safety and cybersecurity technologies.

Hyundai Motor Group plans to produce IONIQ 5 vehicles with specific autonomous-ready modifications at Hyundai Motor Group Metaplant America (HMGMA) in Georgia.

Google DeepMind – Accelerating next-generation humanoid robotics

Boston Dynamics has established a strategic partnership with Google DeepMind to accelerate the development of next-generation humanoid robots. Advanced AI models and training systems are essential for robots to perform complex tasks in real-world environments and collaborate effectively with people. Through this partnership, Boston Dynamics robots are expected to achieve greater autonomy and adapt more effectively to complex operating environments.

Hyundai Motor Group plans to establish a robot production facility in the U.S. with an annual capacity of up to 30,000 units by 2028. The Atlas humanoid robot will first be deployed at production facilities including HMGMA before broader deployment is expanded through phased validation.

Building an Open Ecosystem Through the Robot Reference Platform and Continued Investment in Korea’s Physical AI Future

Executive Chair Chung also outlined initiatives aimed at supporting the growth of Korea’s Physical AI ecosystem through open collaboration and continued investment.

“The outcomes of collaboration with global technology leaders should contribute to the growth of Korea’s Physical AI industry. To that end, Hyundai Motor Group plans to foster an open ecosystem that supports innovation in robotics and AI technologies.” — Hyundai Motor Group Executive Chair Euisun Chung

Key initiatives to build an open ecosystem for robotics and AI innovation include:

Robot Reference Platform: Hyundai Motor Group and NVIDIA are collaborating to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities.

The platform will provide research robot models to universities, research institutes and startups, helping foster an open ecosystem that supports technological innovation and the development of Physical AI talent while contributing to the broader growth of Korea’s robotics and AI industries. 

Supporting universities, research institutes and startups: The Robot Reference Platform is expected to provide universities, research institutes and startups with a standardized hardware and software environment, enabling them to more easily develop and validate Physical AI technologies. The initiative aims to help address challenges faced by organizations with innovative ideas but limited access to commercialization opportunities and validation infrastructure.

Hyundai Motor Group is also continuing large-scale investments aimed at driving the next leap forward in Korea’s industrial and technology ecosystem. Continued investments in Korea’s industrial and technology ecosystem include:

Saemangeum AI Valley: In the Saemangeum region of Jeonbuk State, the Group is developing Saemangeum AI Valley, which includes an approximate KRW 9 trillion investment in AI data centers, robotics manufacturing clusters, electrolyzer plants and AI hydrogen city infrastructure. 

In particular, the robotics manufacturing cluster will serve not only as a production base for the Group’s own robotics products, but also as a robotics foundry that provides manufacturing services for small and medium-sized enterprises that lack manufacturing expertise.

Advanced industrial hubs in the Yeongnam region: Hyundai Motor Group plans to invest a total of KRW 42 trillion over the next decade to foster advanced industrial hubs focused on AI-driven manufacturing, future aerospace industries and sustainable energy infrastructure.

Through these initiatives, Hyundai Motor Group aims to strengthen key foundations for the Physical AI era, including data and energy infrastructure, robotics production capabilities and real-world validation capabilities. The Group also expects these investments to contribute to enhanced industrial competitiveness, balanced regional development, job creation and broader economic vitality in Korea.

About Hyundai Motor Group

Hyundai Motor Group is a global enterprise that has created a value chain based on mobility, steel, and construction, as well as logistics, finance, IT, and service. With about 250,000 employees worldwide, the Group’s mobility brands include Hyundai, Kia, and Genesis. Armed with creative thinking, cooperative communication, and the will to take on any challenges, we strive to create a better future for all.

More information about Hyundai Motor Group can be found at: http://www.hyundaimotorgroup.com or Newsroom: Media Hub by Hyundai, Kia Global Newsroom, Genesis Newsroom

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SOURCE Hyundai Motor Company

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