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Generative AI Market worth $1,658.97 billion by 2033 – Report by MarketsandMarkets™

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DELRAY BEACH, Fla., July 31, 2026 /PRNewswire/ — According to MarketsandMarkets™, the global Generative AI Market is projected to grow from USD 185.45 billion in 2026 and to reach USD 1,658.97 billion by 2033, at a Compound Annual Growth Rate (CAGR) of 36.8% during the forecast period.

Browse 900 market data Tables and 70 Figures spread through 700 Pages and in-depth TOC on “Generative AI Market – Global Forecast to 2033”

Generative AI Market Size & Forecast:

Market Size Available for Years: 2021–20332025 Market Size: USD 119.51 billion2026 Market Size: USD 185.45 billion2033 Projected Market Size: USD 1,658.97 billionCAGR (2026–2033): 36.8%

Generative AI Market Trends & Insights:

Growth is being driven by the rapid integration of foundation models, multimodal AI, copilots, and autonomous agents into enterprise applications and workflows.By offering, the infrastructure segment is estimated to account for the largest share of 46.1% in 2026.By data modality, the text data modality segment is estimated to account for the largest share of 39.1% in 2026.By application, the content generation & management segment is poised to dominate the market in 2026.By vertical, the enterprise gen AI end users segment is slated for the fastest growth during the forecast period.Asia Pacific is poised to register the highest growth rate of 40.3% during the forecast period.

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Growth is being driven by the rapid commercialization of foundation models, enterprise copilots, multimodal systems, and agentic AI across software development, customer operations, research, analytics, content creation, and business-process automation. Organizations are moving beyond small-scale pilots and embedding generative AI into core workflows, creating demand for computing infrastructure, model-development platforms, customization, enterprise data integration, governance, cybersecurity, and managed services. Improvements in model reasoning, context handling, tool use, and inference efficiency are further expanding commercially viable use cases. However, high infrastructure costs, model reliability concerns, data-security risks, intellectual-property issues, regulatory uncertainty, and difficulty demonstrating returns on investment may slow adoption, particularly among smaller organizations and highly regulated industries.

Large-scale investment in accelerators and AI-optimized data centers will keep Gen AI infrastructure at the forefront of spending in 2026

By offering, the infrastructure segment is expected to account for the largest share of the Generative AI Market in 2026, supported by sustained spending on accelerator chips, high-bandwidth memory, storage systems, and high-speed networking required for model training and inference. The growing size and complexity of foundation models, multimodal workloads, and long-running AI agents are increasing demand for dense computing clusters, optimized server architectures, and low-latency interconnects. Hyperscale cloud providers, model developers, sovereign AI programs, and large enterprises are investing heavily in infrastructure to expand training capacity and support production-scale inference. Demand is also moving beyond GPUs toward integrated AI systems that combine accelerators, memory, networking, storage, and software optimization. As generative AI adoption expands across cloud, on-premises, and edge environments, hardware vendors are positioned to benefit from both new infrastructure deployments and the continuing replacement of general-purpose systems with AI-optimized architectures.

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Healthcare, pharmaceuticals & life sciences segment to grow fastest during the forecast period as generative AI moves deeper into research and clinical workflows

The healthcare, pharmaceuticals & life sciences segment is projected to record the highest CAGR among end-user segments during the forecast period. Generative AI is increasingly being applied to drug discovery, clinical-document summarization, medical knowledge retrieval, patient communication, regulatory documentation, trial design, scientific research, and administrative automation. Multimodal gen AI models are also creating opportunities to combine clinical text, medical images, laboratory information, genomic data, and research literature within integrated decision-support environments. Pharmaceutical companies are adopting generative AI to accelerate target identification, molecule design, evidence synthesis, and submission preparation, while healthcare providers are exploring its use in documentation, coding, care coordination, and patient engagement. Growth will be supported by demand for domain-specific models, secure deployment environments, explainability, data privacy, and human oversight. Although regulatory requirements and concerns regarding accuracy may moderate deployment, the high value of improved research productivity and reduced administrative burden is expected to sustain strong investment.

A dense concentration of hyperscalers, frontier-model developers, and enterprise technology buyers secures North America’s position as the largest regional market in 2026

North America is expected to account for the largest share of the Generative AI Market in 2026 because of its concentration of semiconductor companies, hyperscale cloud providers, foundation-model developers, enterprise software vendors, research institutions, startups, and large technology buyers. The region benefits from substantial data-center investment, mature cloud infrastructure, strong venture funding, and early enterprise adoption across BFSI, healthcare, defense, professional services, media and entertainment, and IT. US-based companies occupy leading positions across the generative AI value chain, including accelerators, cloud compute, models, development platforms, governance systems, applications, and consulting services. Enterprises in the region are also progressing from isolated tools toward integrated deployments connected with organizational data, business applications, and automated workflows. Continued investment in AI infrastructure, energy capacity, cybersecurity, and workforce development is expected to reinforce North America’s leadership as generative AI adoption scales.

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Top Companies in Generative AI Market:

The Top Companies in Generative AI Market are NVIDIA (US), Microsoft (US), Google (US), Amazon Web Services (US), IBM (US), OpenAI (US), Anthropic (US), Meta (US), Mistral AI (France), and Cohere (Canada), among others. These companies compete across hardware, foundation models, development platforms, governance and security systems, agentic AI platforms, applications, and services. The report also examines specialist and emerging vendors that are expanding innovation in model development, inference optimization, multimodal generation, enterprise agents, AI governance, and industry-specific applications.

Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting

Related Market Reports:

Artificial Intelligence (AI) Market by Offering [Hardware (AI Chips, Memory, Storage), Software, Services], Technology (ML, NLP, Generative AI, Neurosymbolic AI), Business Function (Operations & Supply Chain, Sales & Marketing) – Global Forecast to 2033

AI Agents Market by Agent Role (Productivity & Personal Assistant, Sales, Marketing, Code Generation, Operations & Supply Chain), Offering (Vertical AI Agents, Horizontal AI Agents), Agent System (Single Agent, Multi Agent) – Global Forecast to 2030

About MarketsandMarkets™  

MarketsandMarkets™ has been recognized as one of America’s Best Management Consulting Firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe.

Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem.

The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the ‘GIVE Growth’ principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts.

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Aktion Associates Climbs to No. 15 on Accounting Today’s 2026 VAR 100 List

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MAUMEE, Ohio, July 31, 2026 /CNW/ — Aktion Associates, Inc., a leading national software reseller and IT infrastructure provider, is proud to announce it has been named No. 15 on Accounting Today’s 2026 VAR 100 list, moving up one spot from No. 16 in 2025. The annual ranking recognizes the top value-added resellers (VARs) of accounting and ERP software in North America based on revenue and industry leadership.

Published annually by Accounting Today, the VAR 100 highlights the industry’s leading technology partners that help organizations select, implement, and optimize accounting and ERP solutions. The ranking recognizes firms that deliver deep product expertise while helping clients navigate evolving business challenges through consulting, implementation, support, and ongoing innovation.

“The Accounting Today recognition provides confirmation that as we approach our 50-year anniversary, our overall business strategy continues to evolve and remain relevant to the modern ERP needs of our clients,” said Scott Irwin, CEO of Aktion Associates. “Today’s organizations are looking for more than a software reseller, they’re looking for a strategic partner who can help them deliver transformation strategies, leverage AI responsibly, and maximize the return of their technology investments. We’re proud to partner with our clients throughout that journey and honored to be recognized among the industry’s leading solution providers.”

Aktion’s continued rise in the rankings reflects its ongoing investment in cloud ERP, advisory services, managed services, Data-Driven Strategy, and AI-enabled solutions that help organizations modernize operations, improve visibility, and achieve long-term business success.

This year’s VAR 100 highlights the growing demand for technology partners that deliver strategic guidance alongside software expertise. Aktion remains committed to helping organizations modernize with cloud ERP, managed services, AI-enabled solutions, and business consulting that drive measurable results.

Read more about the 2026 Accounting Today VAR 100 here:
https://www.accountingtoday.com/data/the-2026-var-100

To learn more about Aktion Associates, visit www.aktion.com.

About Aktion Associates
Aktion Associates is a North American leader in delivering software solutions, IT infrastructure, and managed services to industries including manufacturing, construction, distribution, and professional services. With a focus on empowering businesses through cutting-edge technology and dedicated customer support, Aktion is committed to helping its clients achieve sustainable growth.

 Find out more about the value of the Aktion team.

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SOURCE Aktion Associates, Inc.

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ueno bank reports strongest first half on record, driven by customer growth, corporate lending and strong international backing

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ASUNCIÓN, Paraguay, July 31, 2026 /PRNewswire/ — ueno bank closed the first half of 2026 with the strongest results in its history, supported by customer growth, corporate lending expansion and increased backing from international investors and development finance institutions.

ueno bank holds a full universal banking license in Paraguay and is the largest bank by number of customers, banking transactions, debit cards and credit cards. Since launching to the market in 2021, the bank has become an important contributor to the modernization, expansion and development of Paraguay’s financial system and has reinforced the role of the financial system in Paraguay’s economic and financial development.

During the first half, ueno bank’s customer base reached 2.94 million, consolidating its position as the largest bank by customers in Paraguay and reaching around 63% of the adult population. Since its launch, the bank has brought more than 1.2 million people into the formal financial system for the first time through ueno bank, expanding access to financial products and services across the country.

Also, during 2026 the bank completed a USD 350 million international bond issuance, the largest ever undertaken by a Paraguayan bank in international capital markets. It also secured USD 171 million in new credit facilities from development finance institutions. In addition, the bank increased its capital base by USD 88 million, with USD 46 million in capitalized earnings, USD 25 million in tier 2 bonds and USD 17 million in fresh capital injection from its strategic shareholder OTP Bank Plc.

These transactions included the Development Bank of Austria’s (OeEB) first investment in Paraguay: a USD 20 million credit facility aimed at expanding financing for micro, small and medium-sized enterprises, promoting women-led entrepreneurship and supporting sustainable finance.

Finance in Motion, through the eco.business Fund, also increased its investment in ueno bank to USD 20 million to support projects related to the green economy and sustainable development.

OTP Bank, one of Europe’s leading banking groups, increased its strategic investment in U Holdings, ueno bank’s parent company, to USD 47 million, further strengthening its position as one of U Holdings’ principal shareholders.

Collectively, these transactions strengthened the institution’s capital base and financial position, expanded its access to long-term funding and supported its continued growth.

ueno bank remains committed to advancing financial inclusion, supporting individuals and businesses, and contributing to Paraguay’s sustainable economic development.

Contact:

adriana.diaz@edelman.com

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University of Phoenix white paper introduces predictive framework for improving workforce engagement and wellness

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Author Dr. Jeffery Rhymes draws on organizational research and 2026 Career Optimism Index® findings to examine how alignment among workplace experience, employee perception and capability can shape trust, belonging and career optimism

PHOENIX, July 31, 2026 /PRNewswire/ — University of Phoenix has published a new white paper, “Aligning Experience and Perception: A Predictive Framework for Improving Workforce Engagement, Wellness, and Career Optimism,” by Jeffery Rhymes, DMgt, MBA, faculty in College of Doctoral Studies and fellow with the University’s Center for Organizational Wellness, Engagement, and Belonging (CO-WEB). In the paper, Rhymes introduces the Employee Experience Perception Alignment Model, a leadership framework proposing that workforce outcomes are influenced not only by the experiences organizations intend to create, but also by how employees interpret those experiences and assess their own capabilities.

The framework draws on organizational research and findings from the 2025 and 2026 Career Optimism Index® studies to examine a growing workforce challenge: Employees’ capabilities, confidence and expectations may be evolving faster than the organizational systems designed to support them. The 2025 study found that 51% of employees reported burnout and 43% lacked access to development opportunities, even as 86% actively sought opportunities to grow. The 2026 findings indicate that artificial intelligence is adding a new dimension to this gap, with 75% of employees reporting increased confidence and 66% reporting greater control over their careers because of AI adoption.

“Organizations can design thoughtful programs, policies and employee experiences, but their impact ultimately depends on how employees interpret them,” said Rhymes. “As artificial intelligence expands employees’ capabilities, confidence and expectations, leaders need to understand whether organizational intent, employee perception and workforce capability are moving in the same direction. Treating that alignment as a leading indicator can help organizations identify risks to trust, wellness, belonging and engagement before they become more difficult to address.” 

How the Employee Experience Perception Alignment Model works

The model integrates concepts from social exchange theory, employee engagement research, organizational justice, sensemaking and self-efficacy. It organizes workforce alignment around four interconnected elements:

Organizational experience: The actions, systems and experiences an organization intends to provideEmployee perception: How employees interpret organizational actions through leadership behavior, communication, context and prior experienceEmployee capability: Employees’ perceived control, skill development and adaptability, including their ability to use emerging technologies such as AIEmployee outcomes: Engagement, organizational trust, workplace wellness, belonging and career optimism

The paper proposes that alignment among organizational experience, employee perception and capability can serve as a leading indicator of workforce outcomes. Higher alignment may support stronger trust, engagement, wellness, belonging and career optimism, while lower alignment may signal disengagement, cultural friction, reduced trust and increased turnover intent.

Artificial intelligence is reshaping employee capability and expectations

According to the paper, AI is no longer functioning only as a productivity tool. Employees are also using emerging technologies to develop skills, increase autonomy and navigate career decisions more independently. As their capabilities expand, employees may evaluate workplace systems differently, comparing the development opportunities available within their organizations with possibilities outside them.

This creates a new form of workforce misalignment. Employees may remain in their roles for stability while simultaneously preparing for career mobility, making engagement increasingly conditional rather than committed. Organizations that continue investing in employee experience without accounting for changing employee capabilities and expectations may struggle to achieve consistent outcomes.

Workforce data highlights potential alignment gaps

The paper draws on findings from the Career Optimism Index studies to illustrate the urgency of improving alignment between organizational systems and employee needs:

51% of employees reported experiencing burnout43% lacked access to professional development opportunities86% were actively seeking opportunities to develop new skills21% reported a decline in their sense of career control75% reported greater confidence because of AI adoption66% reported greater control over their careers because of AI adoption

Together, the findings suggest that organizations face both an experience gap and a pace gap: Employees want opportunities to grow, and AI may be accelerating their capabilities and expectations more quickly than workplace systems can adapt.

Five actions leaders can take to improve workforce alignment

Rhymes identifies five practical actions organizations can take to better understand and address potential alignment gaps:

Conduct perception and capability audits. Regularly assess how employees interpret workplace experiences and whether organizational systems support their evolving skills and capabilities.Implement real-time feedback mechanisms. Use ongoing communication, employee voice and feedback systems to identify emerging concerns before they negatively affect engagement, trust or wellness.Prioritize internal mobility and development pathways. Create clear opportunities for employees to build skills, pursue growth and envision a future within the organization.Align leadership behavior with organizational messaging. Ensure that leadership decisions and behaviors consistently reflect stated organizational values and commitments.Treat perception and capability as leading indicators. Evaluate employee perceptions and capabilities alongside traditional workforce measures to gain an earlier view of organizational health.

The paper also encourages organizations to integrate AI into workforce strategy, foster psychological safety and better align talent acquisition, talent management and talent development systems.

About the author

Rhymes serves as doctoral faculty at the University of Phoenix College of Doctoral Studies and is a Fellow-in-Residence of CO-WEB. As an organization and technology operational readiness leader with over 20 years of consulting experience, he specializes in enhancing employee experiences, leading high-performing teams, driving strategic talent management initiatives and making complex concepts accessible through clear and engaging communication. Rhymes earned his Doctorate in Management and MBA from University of Phoenix, and a bachelor’s in computer science from Southern University and A&M College.

The full white paper is available on the University of Phoenix Research Hub.

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.

About the College of Doctoral Studies
University of Phoenix’s College of Doctoral Studies focuses on today’s challenging business and organizational needs, from addressing critical social issues to developing solutions to accelerate community building and industry growth. The College’s research program is built around the Scholar, Practitioner, Leader Model which puts students in the center of the Doctoral Education Ecosystem® with experts, resources and tools to help prepare them to be a leader in their organization, industry and community. Through this program, students and researchers work with organizations to conduct research that can be applied in the workplace in real time.

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