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

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38 minutes ago

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July 24, 2026

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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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July 24, 2026

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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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July 24, 2026

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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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