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Cloud AI Market is expected to generate a revenue of USD 393.44 Billion by 2032, Globally, at 30.1% 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, “Cloud AI Market Size and Forecast,” Rising demand for scalable AI solutions, growing adoption of cloud infrastructure across SMEs, and the emergence of AI-enabled customer engagement tools are major growth drivers. However, data privacy concerns, integration complexities, and high deployment costs remain key challenges impacting market penetration.

LEWES, Del., April 11, 2025 /PRNewswire/ — The Global Cloud AI Market Size is projected to grow at a CAGR of 30.1% from 2025 to 2032, according to a new report published by Verified Market Research®. The report reveals that the market was valued at USD 48.22 Billion in 2024 and is expected to reach USD 393.44 Billion by the end of the forecast period.

 

The global Cloud AI Market is witnessing robust expansion, fueled by digital transformation trends, AI-as-a-Service offerings, and accelerated enterprise cloud adoption. The market continues to evolve with dynamic use cases in healthcare, BFSI, and retail sectors.

Key Highlights of the Report:

Market Size & Forecast by Component, Deployment, Technology, End-User, and RegionAnalysis of Top Players: Google, Microsoft, Amazon Web Services, IBM, and moreRegional Insights: North America dominates with advanced cloud ecosystemsKey Trends: AI democratization, multi-cloud strategy, edge AI adoptionMarket Share Analysis and Competitive Landscape OverviewCOVID-19 Impact and Post-Pandemic Recovery Trends       

Why This Report Matters?

This report offers in-depth insights into the fast-evolving Cloud AI landscape, helping businesses make data-driven decisions. It evaluates technological trends, market sizing, competitive intelligence, and future opportunities vital for growth strategies and investments.

Why You Should Read This Report:

Market Research Professionals exploring AI tech trendsB2B Decision-Makers planning AI integration and digital transformationTech Vendors and Startups targeting cloud-based AI applicationsInvestors and Analysts assessing emerging market opportunitiesIndustrialists navigating smart factory and automation landscapes

For more information or to purchase the report, please contact us at: https://www.verifiedmarketresearch.com/download-sample?rid=479800

Browse in-depth TOC on “Global Cloud AI Market Size

202 – Pages
126 – Tables
37 – Figures

Report Scope

REPORT ATTRIBUTES

DETAILS

STUDY PERIOD

2021-2032

GROWTH RATE

CAGR of ~30.1% from 2025 to 2032

BASE YEAR FOR VALUATION

2024

HISTORICAL PERIOD

2021-2023

FORECAST PERIOD

2025-2032

QUANTITATIVE UNITS

Value in USD Billion

REPORT COVERAGE

Historical and Forecast Revenue Forecast, Historical and Forecast Volume, Growth Factors, Trends, Competitive Landscape, Key Players, Segmentation Analysis

SEGMENTS COVERED

ComponentFunctionEnd-Users

 

REGIONS COVERED

North AmericaEuropeAsia PacificLatin AmericaMiddle East & Africa

 

KEY PLAYERS

Amazon Web Services (AWS), Microsoft Azure, Google Cloud, IBM Cloud, Oracle Cloud, Alibaba Cloud, Salesforce, NVIDIA, SAP, Intel, Tencent Cloud, Huawei Cloud, Baidu Cloud, Cisco Systems, Accenture, Adobe, Dell Technologies, Adobe Systems, VMware, ServiceNow

CUSTOMIZATION

Report customization along with purchase available upon request

Global Cloud AI Market Overview

Market Driver

Surge in Enterprise Digital Transformation: Businesses are expediting digital transformation to maintain competitiveness, resulting in extensive utilization of cloud-based AI platforms. These technologies improve operational efficiency, automate intricate operations, and facilitate real-time analytics. The demand for adaptable, scalable, and intelligent cloud-native technologies is increasing swiftly across sectors like as BFSI, retail, and manufacturing, where agility and data-informed decision-making are essential for success.

Growing Demand for AI-as-a-Service (AIaaS): AI-as-a-ServiceThe service is gaining popularity due to its capacity to provide advanced AI tools—such as machine learning, computer vision, and natural language processing—without substantial capital expenditures. Organizations gain advantages from reduced deployment expenses, expedited implementation, and on-demand access to advanced technologies. This paradigm empowers small and medium-sized organizations to compete with larger entities by effectively integrating AI into their operations, marketing, and customer support processes.

Rising Integration of AI in Customer Engagement: Organizations are utilizing cloud-based AI for sophisticated consumer interaction via chatbots, recommendation systems, and voice-assisted help. These AI-powered products provide tailored experiences, enhance client satisfaction, and streamline sales processes. Cloud-based implementation facilitates scalability and instantaneous updates, allowing organizations to monitor behavioral trends, anticipate customer requirements, and deliver proactive service, resulting in enhanced client retention and loyalty.

To Purchase a Comprehensive Report Analysis: https://www.verifiedmarketresearch.com/select-licence?rid=479800

Market Restraint

Data Privacy and Security Concerns: Despite the advantages of cloud AI, apprehensions around data protection, illegal access, and regulatory compliance present significant obstacles. Storing sensitive corporate and customer information in the cloud presents hazards, particularly in industries such as healthcare and finance. Global rules, like GDPR and HIPAA, enforce stringent data management norms. The apprehension over data breaches, hacks, and the erosion of control over essential information persists in obstructing market acceptance.

Complexity in Legacy System Integration: Numerous firms continue to utilize antiquated legacy systems that lack compatibility with contemporary cloud AI technologies. Integrating these systems necessitates substantial IT re-engineering, bespoke APIs, and proficient personnel. This complexity escalates implementation duration, operational expenses, and the likelihood of disruptions. Consequently, organizations with constrained technical proficiency or resources sometimes postpone or forgo cloud AI integration initiatives entirely.

High Cost of Implementation and Customization: Although fundamental AI technologies may be readily available, entirely tailored cloud AI systems necessitate considerable expenditure. Expenses encompass data migration, infrastructure enhancements, AI model training, and continuous improvement. Moreover, the recruitment of data scientists, AI developers, and integration specialists contributes to the overall cost. The substantial initial and operational expenses serve as an impediment for mid-sized enterprises, hindering the speed of market penetration in price-sensitive categories.

Geographical Dominance

North America leads the Cloud AI Market owing to its sophisticated IT infrastructure, elevated cloud adoption rate, and the presence of prominent technology corporations such as Google, Microsoft, and Amazon Web Services. The region advantages from robust investment in AI research and development and a developed enterprise environment adopting AI-driven solutions. This leadership fosters innovation and early adoption across sectors, establishing North America as the principal growth driver for the global Cloud AI market.

Key Players

The “Global Cloud AI Market” study report will provide a valuable insight with an emphasis on the global market.  The major players in the market are Amazon Web Services (AWS), Microsoft Azure, Google Cloud, IBM Cloud, Oracle Cloud, Alibaba Cloud, Salesforce, NVIDIA, SAP, Intel, Tencent Cloud, Huawei Cloud, Baidu Cloud, Cisco Systems, Accenture, Adobe, Dell Technologies, Adobe Systems, VMware, ServiceNow.

Cloud AI Market Segment Analysis

Based on the research, Verified Market Research has segmented the global market into Component, Function, End-Users and Geography.

Cloud AI Market, by Component:SolutionServicesTechnologyMachine Learning (ML)Deep LearningNatural Language Processing (NLP)Cloud AI Market, by Function: FinanceMarketing & SalesSupply Chain ManagementHuman ResourcesCloud AI Market, by End-Users:Banking, Financial Services and Insurance (BFSI)IT and TelecommunicationsHealthcareRetail and Consumer GoodsMedia and EntertainmentCloud AI Market, by GeographyNorth AmericaU.SCanadaMexicoEuropeGermanyFranceU.KRest of EuropeAsia PacificChinaJapanIndiaRest of Asia PacificROWMiddle East & AfricaLatin America

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Visualize Cloud AI Market using Verified Market Intelligence -:

Verified Market Intelligence is our BI Enabled Platform for narrative storytelling in this market. VMI offers in-depth forecasted trends and accurate Insights on over 20,000+ emerging & niche markets, helping you make critical revenue-impacting decisions for a brilliant future.

VMI provides a holistic overview and global competitive landscape with respect to Region, Country, Segment, and Key players of your market. Present your Market Report & findings with an inbuilt presentation feature saving over 70% of your time and resources for Investor, Sales & Marketing, R&D, and Product Development pitches. VMI enables data delivery In Excel and Interactive PDF formats with over 15+ Key Market Indicators for your market.

About Us

Verified Market Research® stands at the forefront as a global leader in Research and Consulting, offering unparalleled analytical research solutions that empower organizations with the insights needed for critical business decisions. Celebrating 10+ years of service, VMR has been instrumental in providing founders and companies with precise, up-to-date research data.

With a team of 500+ Analysts and subject matter experts, VMR leverages internationally recognized research methodologies for data collection and analyses, covering over 15,000 high impact and niche markets. This robust team ensures data integrity and offers insights that are both informative and actionable, tailored to the strategic needs of businesses across various industries.

VMR’s domain expertise is recognized across 14 key industries, including Semiconductor & Electronics, Healthcare & Pharmaceuticals, Energy, Technology, Automobiles, Defense, Mining, Manufacturing, Retail, and Agriculture & Food. In-depth market analysis cover over 52 countries, with advanced data collection methods and sophisticated research techniques being utilized. This approach allows for actionable insights to be furnished by seasoned analysts, equipping clients with the essential knowledge necessary for critical revenue decisions across these varied and vital industries.

Verified Market Research® is also a member of ESOMAR, an organization renowned for setting the benchmark in ethical and professional standards in market research. This affiliation highlights VMR’s dedication to conducting research with integrity and reliability, ensuring that the insights offered are not only valuable but also ethically sourced and respected worldwide.

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As ADA Anniversary Approaches, University of Phoenix Survey Highlights AI’s Potential to Advance Accessibility in Work and Learning

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Survey conducted by The Harris Poll on behalf of University of Phoenix finds among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.

PHOENIX, July 24, 2026 /PRNewswire/ — As artificial intelligence becomes part of how people work, learn and solve problems, a new University of Phoenix survey conducted by The Harris Poll finds that recent working learners see meaningful opportunities for AI to support accessibility. The survey was designed to understand the impact of AI in the workplace and learning environments on accessibility, defined as ensuring digital content, tools and resources, including AI tools and output, are usable by people with different abilities through inclusive design, use of assistive technology or conformance with accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). The findings are being released ahead of the 36th anniversary of the Americans with Disabilities Act (ADA) on July 26.

The survey, conducted among 1,019 U.S. employed adults who completed a professionally presented training or school course in the past 12 months (“recent working learners”), found that, among workers already using AI in the workplace, 3 in 5 (60%) say AI has improved their knowledge of and ability to use accessibility standards and guidelines, including nearly 1 in 5 (19%) who report significant improvement. 

While the findings point to optimism about AI’s accessibility potential, they also reveal an opportunity for clearer organizational guidance: 45% of respondents say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.

“The reality is that accessibility benefits everyone,” shares Kelly Hermann, Vice President of Accessibility and Student Affairs at University of Phoenix. “If accessibility is built in from the beginning, organizations are more likely to create AI-enabled environments that are universally usable. Clearer content, better summaries, accurate captions, and multiple formats can help workers and learners with disabilities, but they also help busy adults, multilingual learners, mobile users, and anyone trying to absorb information quickly.”

Key findings from the survey include:

Workers see AI’s accessibility potential: 89% of recent working learners identify workflows that could benefit from AI and accessibility tools, especially creating accessible documents, presentations, websites or learning materials (38%), presenting information in different formats such as plain language, audio, summaries or translations (33%), and training employees or learners on accessibility practices (30%).AI may help build accessibility awareness: Among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.Accessibility is not always clear in workplace AI policies: 45% of recent working learners say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.AI tools may not yet fully support different access needs: Among those who use workplace AI tools, only about a quarter of survey respondents (27%) say AI tools available through their workplace or professional learning environment support people with disabilities very well.Human oversight remains important: 36% of recent working learners say human review for important decisions or high-impact work should be part of responsible AI use at work or school.Workers also recognize how AI and accessibility can have an impact on their own career journey: 90% of recent working learners identify AI and accessibility skills that would be valuable in their current or desired career field, including 45% who see value in understanding when AI-generated content needs human review.

Why accessibility is essential to responsible AI adoption

As AI tools are used to draft documents, summarize information, generate captions and transcripts, create image descriptions, support learning and assist with workplace tasks, accessibility becomes central to responsible use. Poorly implemented AI can also create or amplify barriers, including inaccessible content, inaccurate summaries, biased outputs and tools that do not work effectively with assistive technologies.

“Responsible AI is not only about productivity,” Hermann said. “It is about whether the technology works for the people who need to use it. AI can help create more accessible materials and more flexible ways to engage with information, but it still requires clear policies, practical training and human judgment to make sure the outputs are accurate, applicable and usable.”

What the findings mean for employers and educators

The survey suggests that organizations have an opportunity to align AI adoption with supportive design, accessibility practices and workforce training. Employers and educators can take immediate steps by:

Naming accessibility directly in AI policies and guidance.Choosing AI tools with accessibility and assistive technology compatibility in mind.Training workers and learners to create, check and improve accessible AI-generated content.Making support pathways clear for people who experience barriers using AI tools.Keeping human review in place for important decisions, high-impact work and accessibility-sensitive outputs.

The survey also found workers want practical AI training. The most helpful resources identified by recent working learners include real-world examples from their field or industry (36%), hands-on practice using realistic workplace scenarios (34%) and step-by-step demonstrations of common tasks (33%).

Accessibility insights from University of Phoenix

Hermann shared the survey findings ahead of the ADA anniversary in recent media interviews. Hermann oversees the University’s accessibility initiative, including evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her work focuses on fostering accessible and welcoming educational environments for students, faculty and staff.

Hermann’s office at University of Phoenix also convenes accessibility conversations through initiatives such as Access Amplified™, a free, annual virtual event focused on advancing digital accessibility in web development. The event brings together engineers, developers, designers, content authors and digital strategists for practical strategies and human-centered conversations that address the gap between coding practices and how users with assistive technology experience the web.

About the survey

The survey was conducted online within the United States by The Harris Poll on behalf of University of Phoenix from June 22–29, 2026, among 1,019 employed adults ages 18 and older who have taken a professionally presented training or a school course in the past 12 months, referred to as “recent working learners.” Data were weighted where necessary by age, gender, race/ethnicity, region, education, employment, marital status, household size, household income and smoking status to bring them in line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 3.8 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

Review the complete survey at phoenix.edu/aiaccessibility.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

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Mastech Digital to Announce Second Quarter 2026 Financial Results; Participate in Upcoming Investor Conference

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PITTSBURGH, July 24, 2026 /PRNewswire/ — Mastech Digital, Inc. (NYSE American: MHH) (“Mastech Digital”), a leading provider of Digital Transformation IT Services, today announced the date for the release of its financial results for the second quarter ended June 30, 2026, and its participation in an upcoming investor conference.

Second Quarter 2026 Earnings:

Mastech Digital will report its financial results for the second quarter 2026 before the market opens on Thursday, August 6, 2026. Management will host a live conference call and webcast at 9:00 a.m. Eastern Time on that day to discuss the Company’s financial performance and operating results.  The conference call will be hosted by Nirav Patel, President and CEO, and Kannan Sugantharaman, Chief Financial and Operations Officer.

Those wishing to participate via webcast should access the call through Mastech Digital’s Investor Relations website at https://investors.mastechdigital.com. Those wishing to participate via telephone may dial in at 1-800-715-9871 (USA) or 1-646-307-1963 (International) with the passcode 7506988. The replay will be available via webcast through Mastech Digital’s Investor Relations website.

Upcoming Investor Conference:

Mr. Sugantharaman will host a fireside chat at the Sidoti Micro-Cap Investor Conference on Wednesday, August 19, 2026, at 9:15 a.m. Eastern Time.

Mastech Digital management is scheduled to host virtual one-on-one and small group meetings with investors during the conference on August 19-20, 2026. Investors interested in arranging a meeting should contact their Sidoti representative or reach out to the Mastech Digital investor relations team at investors@mastechdigital.com.

About Mastech Digital, Inc.

Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation IT Services. The Company offers Data Management, Analytics & AI Solutions, and IT Staffing Services with a digital-first approach. A minority-owned enterprise, Mastech Digital is headquartered in Pittsburgh, PA, with offices across the U.S., Canada, Europe, and India. Visit us at www.mastechdigital.com.

Investor Relations Contact:
investors@mastechdigital.com 

 

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SOLAI Limited Announces Extraordinary General Meeting

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AKRON, Ohio, July 24, 2026 /PRNewswire/ — SOLAI Limited (NYSE: SLAI) (“SOLAI” or the “Company”) (previously known as “BIT Mining Limited”), a technology-driven personal AI and digital infrastructure provider, today announced that it will hold its extraordinary general meeting of shareholders at 428 South Seiberling Street, Akron, Ohio, US on August 14, 2026 at 10:00 a.m., New York time.

Holders of record of ordinary shares and preference shares of the Company at the close of business on July 20, 2026, New York time (the “Record Date”) are entitled to receive notice of, and to attend and vote at, the extraordinary general meeting or any adjournment thereof. Holders of the Company’s American Depositary Shares (“ADSs”) who wish to exercise their voting rights for the underlying ordinary shares must act through the depositary of the Company’s ADS program, Deutsche Bank Trust Company Americas.

The notice of the extraordinary general meeting, which sets forth the resolutions to be submitted to shareholder approval at the extraordinary general meeting is available on the Investor Relations section of the Company’s website at https://ir.solai.com

About SOLAI Limited

SOLAI Limited (previously known as “BIT Mining Limited”) (NYSE: SLAI) (previously traded under “BTCM”) is a technology-driven personal AI and digital infrastructure provider. Building upon its historical legacy in digital asset mining and blockchain network operations, the Company is leveraging extensive experience in large-scale hardware deployment, data center operations, and high-performance computing to build the foundational infrastructure for personal AI computing and digital asset ecosystems globally.

For more information:

SOLAI Limited
ir@solai.com
ir.solai.com
www.solai.com 

Christensen Advisory
Jason Ng
Tel: +852-2117-0861
Email: solai@christensencomms.com 

 

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