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Digital Transformation Market in Manufacturing to Reach $1,170.7 Billion by 2032, Growing at a CAGR of 23.7% from 2025–Exclusive Report by Meticulous Research®

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Market Growth Driven by Adoption of AI, Advanced Robotics, and Cloud Computing Solutions

REDDING, Calif., April 11, 2025 /PRNewswire/ — According to a new market research report titled “Digital Transformation Market in Manufacturing by Offering (Services), Enterprise Size, Deployment Mode, Technology (Cloud Computing, AI & ML, IoT, AR & VR), End-use Industry (Pharmaceuticals) – Global Forecast to 2032”, published by Meticulous Research®, the global digital transformation market in manufacturing is projected to reach $1,170.7 billion by 2032, growing at a robust CAGR of 23.7% from 2025 to 2032. This expansion is driven by the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML), the rise of advanced robotics and automation, and manufacturers’ preferences for cost-efficient processes.

Browse in-depth scope of Digital Transformation Market in Manufacturing Report:
229 – Tables
43 – Figures
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KEY MARKET DRIVERS AND TRENDS

The digital transformation market in manufacturing is rapidly expanding, driven by the increasing adoption of AI, machine learning, and advanced robotics to enhance operational efficiency, reduce downtime, and optimize production. Cloud computing is also playing a vital role, offering scalable and flexible solutions for real-time collaboration and data access. The integration of IoT devices is transforming manufacturing floors into smart, connected ecosystems, enabling predictive maintenance and process automation. Additionally, rising demand for customized products and faster time-to-market is pushing manufacturers to embrace digital technologies. Sustainability initiatives and the need for cost-efficient production methods further fuel this trend, making digital transformation a strategic priority across the manufacturing sector.

GROWTH OPPORTUNITIES

The digital transformation market in manufacturing presents numerous growth opportunities driven by technological advancements and evolving industry demands. One of the most significant opportunities lies in the integration of Artificial Intelligence (AI) and Machine Learning (ML) into manufacturing operations. These technologies enable predictive maintenance, real-time process optimization, and intelligent decision-making, allowing manufacturers to improve efficiency, reduce downtime, and lower operational costs.

Another major opportunity is the adoption of Industrial Internet of Things (IIoT). By connecting machines, sensors, and systems, IIoT enables seamless data exchange, visibility across the production line, and proactive monitoring of assets. This connectivity leads to smarter factories, where automation and data analytics enhance productivity and product quality.

Cloud computing is also a key growth driver, offering scalable infrastructure, data storage, and remote collaboration tools. With cloud-based solutions, manufacturers can manage global operations more effectively, integrate digital tools across facilities, and respond swiftly to market changes. Furthermore, hybrid cloud models offer flexibility and security, making them increasingly attractive.

Augmented Reality (AR) and Virtual Reality (VR) present emerging opportunities in workforce training, remote assistance, and product design. These immersive technologies improve employee efficiency, reduce training costs, and support rapid prototyping and customer engagement.

Sustainable manufacturing is gaining momentum as companies aim to reduce carbon footprints and comply with environmental regulations. Digital solutions that monitor energy consumption, optimize supply chains, and reduce waste offer long-term value and open new avenues for innovation and differentiation.

Additionally, the growing emphasis on smart factories and Industry 4.0 initiatives, particularly in emerging markets, is accelerating the demand for digital transformation. Governments and industry bodies are supporting this shift through incentives and policy frameworks, creating a favorable environment for investment.

Therefore, these factors make digital transformation a critical enabler of innovation, competitiveness, and sustainable growth in the manufacturing sector.

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MARKET CHALLENGES

Despite strong growth, the digital transformation market in manufacturing faces several challenges. High implementation costs remain a major barrier, especially for small and medium-sized enterprises that may lack the resources for large-scale digital upgrades. Data security and privacy concerns are also significant, as increased connectivity and cloud reliance expose systems to cyber threats. Additionally, integrating new technologies with legacy systems can be complex and time-consuming, causing operational disruptions. There is also a shortage of skilled professionals capable of managing advanced digital tools like AI, IoT, and robotics. Resistance to change within traditional manufacturing environments further hampers adoption. Lastly, unclear ROI and the rapid pace of technological advancements can make long-term planning and investment decisions more difficult for manufacturers.

SEGMENT INSIGHTS

The global digital transformation market in manufacturing is segmented by offering (hardware, software, and services), enterprise size (small & medium enterprises and large enterprises), deployment mode (cloud-based deployment and on-premises deployment), technology (mobile technology, internet-of-things (IoT), network connectivity, digital twin & simulation, robotic process automation, cloud computing, artificial intelligence & machine learning, AR & VR, additive manufacturing & 3D printing, big data & analytics, and cybersecurity), end-use industry (semiconductor & electronics, automotive, food and beverages, chemicals, heavy metal and machine manufacturing, energy and power, aerospace and defense, pharmaceuticals, FMCG, and other end-use industries), and geography. The study also evaluates industry competitors and analyzes the market at the country and regional levels.

Market by Offering

By 2025, the services segment is anticipated to lead the digital transformation market in manufacturing. This dominance is driven by the increasing reliance on expert consulting, system integration, and ongoing support required to implement and manage complex digital ecosystems. As manufacturers navigate the transition to smart factories, they seek end-to-end services that include strategy development, technology deployment, and workforce training. The demand for personalized digital roadmaps and scalable implementation services is also on the rise, especially among enterprises looking to enhance productivity and minimize downtime. Additionally, the rapid pace of technological change is fueling a growing need for agile support models and managed services partnerships.

Furthermore, the services segment is sub-segmented into consulting, planning and designing, engineering, support and maintenance, application development, network infrastructure management, and other services. The rising need for expert guidance, seamless integration, infrastructure optimization, system upgrades, and agile application development to ensure smooth digital transitions and sustained operational efficiency in manufacturing are further expected to support the growth of this market.

Market by Deployment Mode

By 2025, the cloud-based deployment segment is anticipated to lead the digital transformation market in manufacturing. The large share of this segment is mainly attributed to the increasing adoption across all scales of manufacturing enterprises. Manufacturers are increasingly leveraging cloud platforms to access real-time data, enhance interdepartmental collaboration, and streamline business operations remotely. The flexibility offered by cloud solutions allows companies to scale resources on demand, enabling faster response to market shifts and production needs.

Unlike traditional on-premises systems, cloud-based deployments reduce the need for heavy capital investment in IT infrastructure and minimize maintenance burdens. Additionally, with the rise of hybrid work models and global supply chains, cloud technology ensures seamless connectivity, data security, and operational continuity across multiple locations.

Market by Technology

By 2025, the cloud computing segment is anticipated to lead the digital transformation market in manufacturing, driven by its pivotal role in enabling digital connectivity and operational agility. Cloud platforms facilitate seamless data exchange across departments and geographies, empowering manufacturers to improve collaboration and streamline workflows. With cloud-based solutions, organizations gain access to high-performance computing resources, up-to-date applications, centralized data storage, and advanced automation tools—all without significant infrastructure investment. The shift toward Software-as-a-Service (SaaS) and Infrastructure-as-a-Service (IaaS) models further boost the cloud’s appeal by offering scalability, lower maintenance burdens, and faster deployment cycles.

On the other hand, the artificial intelligence and machine learning segment is poised to witness the fastest growth over the forecast period. The rising demand for intelligent automation, real-time data processing, and predictive analytics is fueling the integration of AI/ML technologies into manufacturing processes. Manufacturers are increasingly adopting AI for optimizing supply chain management, forecasting maintenance needs, improving production planning, and enhancing quality control. Furthermore, machine learning algorithms are being used to detect anomalies, anticipate equipment failures, and bolster cybersecurity defenses by identifying emerging threats.

In addition, AI-driven insights are transforming customer experience strategies by enabling hyper-personalization and automating customer service functions. As manufacturers prioritize data-driven decision-making and agile operations, AI and ML will play a central role in reshaping production ecosystems and accelerating digital transformation initiatives.

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GEOGRAPHIC MARKET INSIGHTS

Geographically, Asia-Pacific is expected to lead the market by 2025, supported by its region’s robust industrial infrastructure, rapid digital adoption, and strong governmental backing for smart manufacturing initiatives. Countries such as China, Japan, South Korea, and India are spearheading this transformation through substantial investments in cutting-edge technologies like AI, Industrial IoT (IIoT), robotics, and digital twin systems. China continues to lead globally in manufacturing output and is aggressively pushing digital initiatives under its “Made in China 2025″ strategy. Japan and South Korea, home to global leaders in electronics and automotive industries, are at the forefront of robotics and intelligent factory deployments. Meanwhile, India’s “Make in India” campaign is encouraging both local and foreign investment in digitizing manufacturing operations, driving rapid technology uptake among SMEs and large enterprises alike.

Asia-Pacific also benefits from a thriving ecosystem of tech innovators and automation startups, as well as a dense presence of global cloud, AI, and software providers. The region is experiencing exponential growth in enabling technologies such as 5G, cloud platforms, and real-time analytics, further accelerating the shift toward smart manufacturing environments.

Moreover, rising labor costs and the increasing demand for efficient, high-precision production are compelling manufacturers to adopt advanced digital solutions. Governments across the region are introducing favorable policies, tax incentives, and R&D grants to boost digital capabilities in manufacturing. As a result, Asia-Pacific is emerging as the global hub for digital transformation in manufacturing, setting benchmarks for innovation, productivity, and competitiveness on the global stage.

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COMPETITIVE LANDSCAPE

Major companies in the global digital transformation market in manufacturing have implemented various strategies to expand their product offerings, footprints, and market shares. The key strategies followed by most companies in the digital transformation market in manufacturing were product launches & enhancements, mergers & acquisitions, agreements, collaborations, and partnerships.

Some of the prominent players that adopted these growth strategies are International Business Machines Corporation (U.S.), Siemens AG (Germany), Microsoft Corporation (U.S.), SAP SE (Germany), Capgemini SE (France), ABB Ltd. (Switzerland), Deutsche Telekom AG (Germany), Telefónica, S.A. (Spain), Accenture plc (Ireland), TE Connectivity Ltd. (Switzerland), NXP Semiconductors N.V. (Netherlands), Telefonaktiebolaget LM Ericsson (Sweden), Intel Corporation (U.S.), Tata Consultancy Services Limited (India), and Cisco Systems, Inc. (U.S.).

Related Reports:

Digital Transformation Market

AI in Manufacturing Market

Smart Manufacturing Market

IoT in Manufacturing Market

About Meticulous Research

We are a trusted research partner for leading businesses worldwide, empowering Fortune 500 organizations and emerging enterprises with market intelligence designed to drive revenue transformation and strategic growth. Our insights reveal future growth opportunities, equipping clients with a competitive edge through a versatile suite of research solutions—including syndicated reports, custom research, and direct analyst engagement. Each year, we conduct over 300 syndicated studies and manage 60+ consulting engagements across eight major sectors and 20+ geographic markets, all to deliver targeted business insights that help our clients lead in a rapidly evolving global market.

With a strong focus on problem-solving for complex business challenges, our research enables organizations to navigate change with assertion, aligning it with strategic pathways for sustainable growth. By identifying innovative and effective solutions, we empower leaders to make impactful decisions that drive operational excellence and fuel innovation. We are committed to crafting insights that enhance business performance and help our clients unlock new revenue opportunities, positioning them for long-term success in the competitive global marketplace.

To find out more, visit www.meticulousresearch.com or follow us on LinkedIn 

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Care Career Announces Acquisition of MAS Medical Staffing, Completing Its First Acquisition Phase and Expanding Annual Revenue Beyond $150 Million, with a Path to Exceed a Quarter Billion by the End of 2026 Through Additional Acquisitions and Organic Growth

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WOODBRIDGE, N.J., July 24, 2026 /PRNewswire/ — Care Career, a rapidly growing healthcare workforce technology organization, today announced the acquisition of MAS Medical Staffing, one of the Northeast’s leading healthcare workforce organizations. Financial terms of the transaction were not disclosed.

The acquisition represents Care Career’s seventh strategic acquisition in the past 24 months, further strengthening the company’s position as one of the largest healthcare workforce organizations in the United States while accelerating its strategy to redefine the future of healthcare workforce management through artificial intelligence, enterprise technology, and workforce innovation.

MAS Medical Staffing has built an outstanding reputation for delivering high-quality workforce solutions through strong client relationships, exceptional clinician engagement, and deep regional expertise throughout the Northeastern United States. The acquisition significantly expands Care Career’s geographic footprint while broadening its access to healthcare professionals, client relationships, workforce data, and regional market intelligence.

Care Career is building a technology-enabled workforce ecosystem powered by its AI-powered workforce platform, where every acquisition contributes not only additional market presence, but also expanded data, enhanced artificial intelligence capabilities, digital innovation, and operational scale that continuously improve the experience for clients and clinicians alike. As the platform grows, every clinician engagement, client interaction, credential, placement, and workforce trend strengthens the intelligence of Career’s technology, creating a continuously improving ecosystem designed to deliver faster, smarter, and more effective workforce solutions.

The acquisition also brings MAS Medical Staffing’s MAESTRA® engagement technology, along with its client relationships and clinician network, directly onto Career’s AI-powered workforce platform. MAESTRA’s scheduling, credentialing, and communication capabilities will be integrated into Care Career’s existing technology stack, further enhancing clinician engagement across onboarding, scheduling, and career management while providing healthcare organizations with greater workforce visibility and operational efficiency.

“Our vision is to build the AI-powered infrastructure that modernizes healthcare workforce management,” said Siva Konatham, Group President and Chief Executive Officer of Care Career. “Under my leadership, Care Career is focused on transforming a fragmented, labor-intensive industry into a data-driven, technology-enabled ecosystem that improves speed, efficiency, and workforce visibility for healthcare providers. Each acquisition strengthens our platform intelligence, expands our scale, and enhances our margin potential. By integrating advanced analytics, AI automation, and digital engagement tools, we are not just growing revenue—we are building a smarter, more scalable model positioned to lead the next era of healthcare workforce solutions.”

The combined organization will leverage expanded recruiting resources, centralized credentialing, advanced workforce analytics, AI-enabled automation, and digital engagement technologies—all powered by Care Career’s AI-powered workforce platform—to deliver broader recruiting capabilities, faster response times, enhanced workforce insights, and expanded national coverage. Clinicians will benefit from a seamless digital experience that simplifies every stage of their careers—from job discovery and credentialing to onboarding, scheduling, communication, and long-term career development.

With seven strategic acquisitions completed in less than two years, representing the first round of acquisitions now totaling more than $150 million in annual revenue, Care Career has rapidly expanded its national presence while executing a disciplined growth strategy focused on technology integration, operational excellence, and workforce innovation. The company has also signed additional Letters of Intent with other entities with expected close dates in the third quarter of 2026. Upon completion of these transactions, coupled with organic growth, Care Career expects consolidated annual revenue to exceed a quarter of a billion dollars by the end of 2026.

The addition of MAS Medical Staffing further strengthens the organization’s ability to serve healthcare systems, hospitals, long-term care providers, outpatient facilities, and other healthcare organizations across an increasingly diverse geographic footprint.

“The healthcare workforce industry is entering a new era where technology, artificial intelligence, and data-driven decision-making will define the market leaders,” Konatham added. “Every acquisition we complete expands the intelligence of our AI-powered workforce platform, enhances the value we deliver to our clients, and creates more opportunities for clinicians. We believe the combination of exceptional people, innovative technology, and strategic scale positions Care Career to lead the next generation of healthcare workforce solutions.”

About Care Career

Care Career is a technology-enabled healthcare workforce solutions company dedicated to transforming how healthcare organizations recruit, engage, credential, deploy, and retain clinical talent. Powered by its proprietary AI-powered workforce platform and supported by advanced artificial intelligence, enterprise technology, and workforce analytics, Care Career is building an intelligent healthcare workforce ecosystem that connects providers and clinicians more efficiently while improving workforce performance, operational effectiveness, and patient care. Following seven strategic acquisitions over the past 24 months the first round of acquisitions totaling more than $150 million in annual revenue and with additional signed LOIs under contract expected to complete shortly, positioning the company to surpass a quarter of a billion dollars in consolidated annual revenue by the end of 2026, Care Career has become one of the nation’s largest and fastest-growing healthcare workforce organizations, serving healthcare providers and clinicians across the United States.

About MAS Medical Staffing

MAS Medical Staffing is a premier healthcare workforce organization recognized for exceptional service, strong client partnerships, and a commitment to connecting healthcare professionals with rewarding career opportunities. With an established presence throughout the Northeastern United States, MAS Medical Staffing has earned a reputation for quality, responsiveness, and delivering workforce solutions that help healthcare providers meet their evolving workforce needs while supporting clinicians throughout every stage of their careers.

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SOURCE Care Career

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PointsKash Demonstrates How Businesses Can Build on Bitcoin Without Burdening the Blockchain

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As industry debate surrounding Bitcoin Improvement Proposal (BIP-110) intensifies, PointsKash unveils an architecture designed to work regardless of the proposal’s outcome.

SCOTTSDALE, Ariz., July 24, 2026 /PRNewswire/ — As the global Bitcoin community debates Bitcoin Improvement Proposal 110 (BIP-110) and the future of data stored on the Bitcoin blockchain, PointsKash, Inc. today announced that its next-generation kiosk infrastructure was intentionally designed to operate efficiently under any outcome of the proposal.

Rather than storing operational data directly on the Bitcoin blockchain, PointsKash utilizes a layered architecture that combines Bitcoin‘s unmatched security with modern decentralized communications technology. Every transaction, machine event, system update, and operational record generated across the PointsKash network is cryptographically verified, securely maintained off-chain, and anchored to the Bitcoin blockchain through a single immutable cryptographic proof.

This approach allows thousands of operational events to be permanently verified while utilizing only a minimal amount of blockchain data.

As discussion surrounding BIP-110 has intensified across the digital asset industry, PointsKash believes the debate does not require choosing between innovation and responsible blockchain stewardship.

“The industry has been debating whether businesses can build meaningful applications on Bitcoin without unnecessarily consuming blockchain space,” said Michael Herron, Chief Executive Officer of PointsKash. “We believe we’ve demonstrated that the answer is yes. Bitcoin provides the world’s most trusted immutable timestamp and security layer, while higher-volume operational data belongs on technologies specifically designed to manage it. By combining both, we’ve built an architecture that is scalable, transparent, and future-ready regardless of how the BIP-110 discussion ultimately evolves.”

The company’s infrastructure assigns every kiosk its own unique cryptographic identity, allowing each machine to securely authenticate every transaction and operational event. Those records are then independently verifiable through cryptographic proofs while remaining resistant to alteration or manipulation—even by PointsKash itself.

According to the company, this architecture delivers several significant advantages:

Mathematically verifiable transaction records for regulators, banking partners, auditors, and enterprise customers.Improved network reliability, allowing kiosks to continue operating during temporary connectivity interruptions without losing transaction history.Enhanced cybersecurity, with every machine maintaining its own authenticated identity and secure communications.A scalable blockchain architecture that minimizes on-chain data while preserving complete auditability.

Bitcoin was created to provide trust, security, and permanence—not to become a storage system for every piece of application data,” Herron added. “Our philosophy has always been simple: use Bitcoin for what it does better than anyone else—creating immutable proof that records have never been altered—and leverage modern decentralized technologies for everything else. We believe that’s the future of enterprise blockchain infrastructure.”

PointsKash believes this architecture positions the company among a new generation of fintech innovators utilizing Bitcoin as a secure trust layer while developing scalable financial applications for enterprise deployment.

The technology also establishes the foundation for future blockchain-based financial products currently under development, including enhanced digital audit capabilities, verifiable financial records, enterprise licensing opportunities, and next-generation digital asset infrastructure.

As the Bitcoin ecosystem continues to mature, PointsKash believes its technology demonstrates that responsible innovation and blockchain scalability can successfully coexist—providing enterprise organizations with the confidence to build on Bitcoin without contributing unnecessary data to the network.

About PointsKash, Inc.

PointsKash, Inc. is a financial technology company developing an integrated ecosystem of AI-enabled self-service financial centers, digital banking, digital payment solutions, cryptocurrency services, loyalty rewards, enterprise merchant technologies, and mobile financial applications. Through proprietary software, Artificial Intelligence, and strategic partnerships, PointsKash is building innovative financial solutions designed to empower consumers, merchants, and enterprise organizations throughout North America.

For more information, visit www.pointskash.com.

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Forward-Looking Statements

This press release contains forward-looking statements regarding anticipated technology integrations, Artificial Intelligence initiatives, product development, future commercialization plans, expected operational efficiencies, business strategy, and future growth. These statements are based on current expectations and involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied. Factors that could affect actual results include, but are not limited to, technology development timelines, integration efforts, financing, regulatory developments, market conditions, and other risks facing the Company. PointsKash undertakes no obligation to update any forward-looking statements except as required by applicable law.

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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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SOURCE University of Phoenix

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