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Generative AI Market to grow by USD 97.75 Billion (2024-2028), driven by demand for AI-generated content, with a report on AI’s market impact – Technavio

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NEW YORK, Dec. 4, 2024 /PRNewswire/ — Report with market evolution powered by AI – The global generative artificial intelligence (AI) market size is estimated to grow by USD 97.75 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 50.22% during the forecast period. Increasing demand for AI-generated content is driving market growth, with a trend towards acceleration in deployment of large language models (LLM). However, lack of quality data poses a challenge. Key market players include Accenture Plc, Adobe Inc., Alphabet Inc., Altair Engineering Inc., Amazon.com Inc., Autodesk Inc., DataRobot Inc., De Identification Ltd., Diabatix NV, Genie AI Ltd., Hexagon AB, International Business Machines Corp., LeewayHertz, Microsoft Corp., MOSTLY AI Solutions MP GmbH, nTopology Inc., NVIDIA Corp., OpenAI L.L.C., Rephrase Technologies Pvt. Ltd., and Synthesia Ltd..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2017 – 2021

Segment Covered

Component (Software and Services), Technology (Transformers, Generative adversarial networks (GANs), Variational autoencoder (VAE), and Diffusion networks), and Geography (North America, APAC, Europe, South America, and Middle East and Africa)

Region Covered

North America, APAC, Europe, South America, and Middle East and Africa

Key companies profiled

Accenture Plc, Adobe Inc., Alphabet Inc., Altair Engineering Inc., Amazon.com Inc., Autodesk Inc., DataRobot Inc., De Identification Ltd., Diabatix NV, Genie AI Ltd., Hexagon AB, International Business Machines Corp., LeewayHertz, Microsoft Corp., MOSTLY AI Solutions MP GmbH, nTopology Inc., NVIDIA Corp., OpenAI L.L.C., Rephrase Technologies Pvt. Ltd., and Synthesia Ltd.

 

Key Market Trends Fueling Growth

The Generative Artificial Intelligence (AI) market is experiencing significant growth as businesses adopt AI technologies to drive solutions in various industries. Natural Language Processing (NLP) and Computer Vision are leading trends, with Generative AI gaining popularity through advancements like Generative Adversarial Networks (GANs), Transformer models, and Multimodal data processing. AI is revolutionizing Entertainment with text and image generation, summarization, and personalized content. In Healthcare, AI is transforming document generation, model architectures, and unsupervised learning techniques for text and image analysis. Entertainment, Finance, and Education industries are leveraging AI-driven solutions for content creation and customer support through conversational interfaces, intelligent virtual assistants, and conversational chatbots. Advanced algorithms like deep learning, probabilistic modeling, and iterative training techniques are powering AI applications in Robotics and Automation, Augmented Reality, and Virtual Reality. However, challenges such as model drift, inaccurate content, biased content, and inappropriate content require continuous monitoring and mitigation strategies. Data security concerns, particularly with unstructured data and personally identifiable information, necessitate tagging, encryption, and access control measures. AI ethics, machine learning techniques, and computer resources are essential considerations for businesses adopting AI. AI tools and conversational interfaces are enabling IT professionals to create virtual worlds, simulations, and game environments for various applications. In conclusion, the Generative AI market offers immense potential for businesses to innovate and create value across industries. However, it’s crucial to address challenges and ethical considerations to ensure the responsible and effective implementation of AI technologies. 

The generative AI market has experienced notable growth with the implementation of Language Model Machines (LLMs). These models employ deep learning methods to generate text that resembles human speech. Businesses can utilize these models to automate and enhance tasks such as customer service, content creation, and data analysis. For instance, Open AI’s GPT-3 language model has gained widespread recognition. It produces human-like text, making it an effective tool for companies to automate content generation, including product descriptions, news articles, and social media posts. 

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Market Challenges

The Generative Artificial Intelligence (AI) market is experiencing significant growth as businesses seek to leverage AI technologies for various applications. Natural Language Processing (NLP) and Computer Vision are two key areas where Generative AI, including Generative Adversarial Networks (GANs), Transformer models, and Variational Autoencoders, are making a mark. These AI-driven solutions offer text generation capabilities, summarization, personalized content, document generation, and model architectures for text, images, video, audio, and more. Entertainment and healthcare industries are major adopters, with Generative AI used for content creation, media and entertainment, and AI-driven simulations. Advanced algorithms like deep learning, neural networks, and probabilistic modeling are at the core of these applications. However, challenges persist, including model drift, inaccurate or biased content, and inappropriate content. Synthetic data management and AI ethics are crucial to address these issues. AI accelerators, computing vouchers, and IT professionals are essential to overcome the computational demands of Generative AI. Data security concerns, especially with unstructured data and personally identifiable information, require tagging and encryption methods. The future of Generative AI lies in its ability to create human-like text, power intelligent infrastructure, and provide personalized support through conversational AI and chatbots.Generative artificial intelligence (AI) can produce data for various applications, such as news articles or product descriptions. However, the quality of the generated data can be inconsistent and may not meet expectations. Inaccurate or incomplete information can be disseminated to the public through AI-generated news articles, potentially misleading readers and damaging the credibility of the news outlet. Similarly, poor-quality data used to generate product descriptions on e-commerce websites could deter potential customers from making a purchase due to misleading or confusing information. It is essential to ensure the data used to train generative AI models is of high quality to produce accurate and reliable results.

Insights into how AI is reshaping industries and driving growth- Download a Sample Report

Segment Overview 

This generative artificial intelligence (ai) market report extensively covers market segmentation by

Component 1.1 Software1.2 ServicesTechnology 2.1 Transformers2.2 Generative adversarial networks (GANs)2.3 Variational autoencoder (VAE)2.4 Diffusion networksGeography 3.1 North America3.2 APAC3.3 Europe3.4 South America3.5 Middle East and Africa

1.1 Software- The generative artificial intelligence (AI) market is experiencing significant growth due to the increasing demand for software that can analyze data and produce unique outputs. One notable example is GPT-4, a deep learning-based text generator capable of creating text indistinguishable from human-written content. Businesses are utilizing this technology for content creation and customer service automation. Another application is StyleGAN, a machine learning software generating realistic human faces, benefiting the fashion and beauty industry. Several startups, like Runway, develop generative AI platforms for designers and artists. These advancements are expected to boost the market’s expansion during the forecast period.

Download complimentary Sample Report to gain insights into AI’s impact on market dynamics, emerging trends, and future opportunities- including forecast (2024-2028) and historic data (2017 – 2021) 

Research Analysis

The Generative Artificial Intelligence (AI) market is experiencing exponential growth due to the increasing adoption of AI technologies in various industries. Natural Language Processing (NLP) and Computer Vision are two major areas of AI that are revolutionizing how we interact with text and images. Generative AI, a subset of advanced algorithms, is leading the charge with its ability to create new content, from text to art and even music. Generative Adversarial Networks (GANs) are a popular generative AI technique that uses two neural networks to generate realistic data. Digitization and AI-driven solutions are transforming industries such as Entertainment and Healthcare, with generative AI powering personalized content and predictive analytics. Standard AI systems use machine learning, simulations, and videos to learn patterns and make decisions. Neural networks, deep learning, probabilistic modeling, and iterative training techniques are essential components of these systems. Recurrent neural networks and convolutional neural networks are advanced algorithms that enable AI to understand context and recognize patterns in data. GPT series and other generative models are creating new possibilities in text generation, while AI applications in virtual worlds and the metaverse are pushing the boundaries of creativity and innovation. IT professionals are in high demand as businesses seek to leverage these advanced technologies to gain a competitive edge.

Market Research Overview

The Generative Artificial Intelligence (AI) market is experiencing exponential growth, driven by advancements in AI technologies such as Natural Language Processing (NLP), Computer Vision, and Generative Adversarial Networks (GANs). These technologies enable AI-driven solutions to create and process multimodal data, including text, images, video, audio, and more. Generative AI is revolutionizing industries like Entertainment, Healthcare, and Robotics and Automation, with applications ranging from text generation and summarization to personalized content and document generation. Model architectures like Transformer models, Neuro-symbolic approaches, and Unsupervised learning techniques are pushing the boundaries of what AI can do. However, challenges such as model drift, inaccurate content, biased content, and inappropriate content require ongoing attention. AI accelerators, large language models, and training data preparation are essential components of the generative AI ecosystem. The market also includes various AI applications, standard and advanced algorithms, machine learning techniques, and neural networks like Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). The Entertainment industry, Finance industry, Education industry, and others are leveraging generative AI for content creation, simulations, and conversational interfaces. Virtual Reality (VR) and Augmented Reality (AR) are also significant areas of application, with potential use cases in VR games, VR training simulations, and game environments. AI ethics and data security concerns are critical considerations as the market continues to evolve.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ComponentSoftwareServicesTechnologyTransformersGenerative Adversarial Networks (GANs)Variational Autoencoder (VAE)Diffusion NetworksGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Wistron Celebrates Grand Opening of First U.S. Smart Factory Marking Milestone in Global Smart Manufacturing Strategy

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FORT WORTH, Texas, July 21, 2026 /PRNewswire/ — Wistron Corporation (“Wistron”) celebrated the grand opening of its D1 AI smart facility in Fort Worth, Texas, the site where the first NVIDIA GB300 Grace Blackwell Ultra Superchip was built and mass-produced in the United States. The US$ 700 million facility, spanning approximately 324,000 square foot, was officially unveiled during a ceremony led by Wistron Chairman Simon Lin and NVIDIA Founder and CEO Jensen Huang. Jessica Rogers, Director of the Economic Development Department for the City of Fort Worth, and Alexander Tah-ray Yui, Taiwan’s Representative to the United States, were among the government officials and business leaders who attended, marking a milestone in the expansion of Wistron’s global footprint and advanced manufacturing capabilities.

This is a key hub in Wistron’s global AI infrastructure manufacturing network. The facility runs on NVIDIA accelerated computing and integrates NVIDIA’s Nemotron and Cosmos open frontier models and Omniverse and Metropolis libraries, using digital twin technology to optimize factory design, production workflows, and operational efficiency. It is Wistron’s first U.S.-based manufacturing facility, established to serve customers locally and produce NVIDIA’s most advanced and cutting-edge products. Wistron Chairman Simon Lin said “The operation here is not typical manufacturing. It is new, very comprehensive, and high-tech. Right now we produce the NVIDIA GB300 Grace Blackwell Ultra Superchip, and beyond, we are also going to produce the NVIDIA Vera Rubin Superchip here. In the next couple of years, this location will be one of the most important, as we build AI infrastructure here in the United States. I think this is the reason we say that there will be the next chapter, and we are going to empower AI from Texas.”

Responding to Customer Needs: Texas, the Newest Global Manufacturing Hub
At this pivotal moment for global AI infrastructure, Wistron is drawing on decades of global manufacturing experience to expand its footprint in Texas, a state with a well-established ecosystem for logistics, talent recruitment, and advanced manufacturing. The new D1 facility produces the NVIDIA GB300 Grace Blackwell Ultra Superchip and soon, the NVIDIA Vera Rubin Superchip — critical to powering the next generation of AI computing. The new Fort Worth facility strengthens a critical upstream layer of the AI infrastructure supply chain by expanding domestic capacity to assemble and test NVIDIA AI systems. These servers can be integrated into NVIDIA DSX infrastructure, with DSX providing the common architecture and technologies needed to deploy and operate energy-efficient AI factories at scale.

One-Stop Operational Ecosystem Strengthens U.S. AI Supply Chain Resilience
Behind every breakthrough in AI computing lies the manufacturing capability to scale it. Wistron is expanding its AI server production capabilities from Taiwan to the United States, guided by a vision of precision, efficiency, and sustainability. This reflects a broader industry shift: AI leadership is determined not only by technological breakthroughs, but also by the operational capability to transform innovation into high-volume production with consistent quality, supply chain resilience, and predictable delivery. By establishing AI infrastructure manufacturing capacity in the United States, Wistron is building a one-stop operational ecosystem spanning manufacturing and after-sales service — shortening delivery timelines and customer support cycles, strengthening supply chain resilience, and laying the foundation for long-term competitive advantage as AI infrastructure continues to scale.

Partnering with NVIDIA to Pioneer a New Model for Smart Manufacturing and Energy Optimization
As the era of physical AI begins, Wistron is extending its smart manufacturing capabilities to the United States, creating a new model for AI infrastructure production built on digital manufacturing, energy optimization, and local operations. Jensen Huang said: “The largest infrastructure buildout in history is underway. Demand for AI factories—the engine of this next industrial revolution—is incredible, and they must be produced everywhere. Together, NVIDIA and Wistron are restoring US advanced manufacturing capacity in Texas, creating skilled jobs and strengthening America’s AI supply chain.” As demand for advanced manufacturing grows in Texas, smarter planning of production loads and energy use will give the plant greater control and flexibility over its electricity needs.

Turning Global Experience into Scalable AI Infrastructure
Simon Lin stressed that the speed the AI era demands comes with its own responsibility. “In the AI era, the pressure of speed is also a form of responsibility,” Lin said. “We don’t just need to build fast; we need to build right.”

The Fort Worth plant will serve as the core engine of Wistron’s U.S. manufacturing operations, the company said, connecting its global production network with ecosystem partners as it scales advanced AI manufacturing. Wistron said that the investment reflects efforts to deepen its technical capabilities, strengthen the resilience and efficiency of global supply chains, and support the next phase of AI infrastructure development.

About Wistron:
Wistron Corporation is a leading global technology service provider delivering advanced ICT products, AI infrastructure, and manufacturing solutions to technology brands worldwide. With more than 63,000 employees across North America, Europe, and Asia, Wistron continues to expand its AI, cloud, and advanced manufacturing capabilities to support the next generation of intelligent computing. For more information about Wistron, please visit the official website at www.wistron.com. Additional information about the event is available on the event website.

Media Contact:
Joyce WL Chou
joyce_wl_chou@wistron.com

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SOURCE Wistron Corporation

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NSG Bio Accelerates Breakthrough Biotech Innovation in Singapore

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New initiative under NSG Bio Tomorrow will support promising startups developing next-generation approaches in respiratory and neonatal care

SINGAPORE, July 22, 2026 /PRNewswire/ — The NSG Bio Tomorrow initiative aims at supporting emerging life sciences startups working on complex challenges in respiratory and neonatal care.

Launched through the support of Chiesi Group, The Impulse initiative will provide a selected startup with one year of NSG Bio membership and access to a dedicated laboratory bench at NSG Bio Singapore. The initiative is designed to help early-stage biotech companies move from promising science toward stronger proof-of-concept work in a fully equipped research environment.

The initiative comes at a time when the biotech industry is increasingly looking for faster, more connected ways to move high-potential science from the lab toward real-world patient impact. For startups, access to infrastructure is only one part of the challenge. Equally important are the right networks, industry visibility, technical environment, and opportunities to engage with partners who understand the path from early discovery to clinical relevance.

The programme will focus on startups developing innovative biotechnological solutions with potential relevance to chronic respiratory diseases and neonatal conditions. Areas of interest include cell therapies, gene therapies, gene-editing technologies, regenerative tissue engineering, engineered or programmable living systems, lung-targeted delivery platforms, preventive approaches, and small-molecule-based approaches.

The selected startup will gain access to NSG Bio’s laboratory infrastructure, shared workspaces, meeting facilities, and wider community of biotech entrepreneurs, researchers, scientific leaders, and industry partners. The support is intended to help the company advance key research milestones while becoming part of Singapore’s growing life-science innovation ecosystem.

For NSG Bio, the initiative is part of NSG Bio Tomorrow, its ecosystem-building arm created to expand the company’s role beyond facilities and real estate. While NSG Bio is known for providing high-quality laboratory and office infrastructure for biotech companies, NSG Bio Tomorrow focuses on building the programmes, partnerships, and opportunities that help startups grow.

“Biotech companies need more than lab space. They need access, momentum, and the right ecosystem around them,” said Hasyim Sim, Co-Founder and Chief Operating Officer, NSG Bio. “Through NSG Bio Tomorrow, we are building initiatives that help promising startups connect with partners, unlock opportunities, and move their science forward. This initiative reflects exactly the kind of role we want to play in the biotech ecosystem.”

“Chiesi is committed to supporting innovation that can make a meaningful difference for patients, and we work with entrepreneurs, researchers and partners to advance meaningful ideas,” said Fabrizio Conicella, Vice President, Center of Open Innovation & Competence at Chiesi Group. “By supporting this NSG Bio Tomorrow initiative, we want to create an opportunity for early-stage innovators to access the infrastructure and ecosystem support needed to develop impactful science in respiratory and neonatal care.”

NSG Bio Tomorrow programme also reinforces Singapore’s position as a growing hub for biotech innovation in Asia, where startups, research institutions, investors, and industry partners are increasingly coming together to support the next generation of healthcare companies.

Applications open on 22 July 2026 at 09:00 a.m. SGT. Finalists will be invited to present at a virtual pitch event, after which the selected startup will be announced.

About NSG Bio

NSG Bio is Singapore’s leading provider of BSL-2 certified co-working laboratory and office spaces, supporting life-science companies from early research through growth. Through its facilities, community, and ecosystem initiatives, NSG Bio enables biotech innovators to accelerate research, access networks, and build companies that address critical healthcare challenges.

About NSG Bio Tomorrow

NSG Bio Tomorrow is NSG Bio’s ecosystem-building arm, created to support the next generation of biotech innovation through partnerships, programmes, community initiatives, and opportunities that extend beyond physical laboratory infrastructure. Its mission is to strengthen the biotech industry by connecting startups with the resources, expertise, and networks they need to thrive.

About Chiesi Group 

Chiesi is a research-oriented international biopharmaceutical group that develops and markets innovative therapeutic solutions in respiratory health, rare diseases, and specialty care. The company’s mission is to improve people’s quality of life and act responsibly towards both the community and the environment. As a certified B Corp since 2019, Chiesi is part of a global community of businesses that meet high standards of social and environmental impact. 

With 90 years of experience, Chiesi is headquartered in Parma (Italy), with 31 affiliates worldwide, and counts more than 7,900 employees. The Group’s research and development centre in Parma works alongside 6 other important R&D hubs in France, the US, Canada, China, the UK, and Sweden. For further information please visit https://www.chiesi.com/en/home 

Media Contact
Giridharan
Laboratory Manager
NSG Bio
giridharan@nsgbio.com
87797175

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SOURCE NSG Bio

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House Judiciary Committee Passes Bill that Would Prevent Future Immigration Crises: Swift Action Needed by Full House, Says FAIR

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WASHINGTON, July 21, 2026 /PRNewswire/ — Today, the House Judiciary Committee passed an updated version of H.R. 2, the landmark border security bill from last congressional session. The bill now awaits consideration by the full House of Representatives. The Federation for American Immigration Reform (FAIR) urges Speaker Mike Johnson to schedule a final floor vote as soon as possible.

The Secure Border Act systematically closes the loopholes that allowed the Biden administration to unleash the largest and most damaging wave of illegal immigration in American history. Enactment of this legislation would prevent future anti-borders administrations from shirking their responsibilities to secure our borders and enforce our immigration laws; asserting unlimited discretion to parole inadmissible aliens to enter the country; or releasing millions of illegal aliens into the country, rather than detaining them or returning them to the country from which they entered.

“We congratulate the Judiciary Committee for its swift action on this critical legislation,” said Dale Wilcox, executive director and general counsel of FAIR. “Ending border chaos and rampant illegal immigration was a key reason that Republicans regained control of the White House and both chambers of Congress in the last election. The clock is ticking on the 119th Congress, and Republicans only have a short time to deliver on the promises they made to voters in 2024, before the midterms.

“Right now, our immigration laws are being enforced in the interests of the American people. As the last administration demonstrated, enforcement of those laws is not guaranteed unless Congress acts to prevent similar abuse in the future. Now is the time for decisive action in the House, where this bill can be passed with a simple majority vote, and an opportunity for Senate Majority Leader John Thune to put every member of that body on record before voters go to the polls in the fall,” Wilcox concluded.

Hayley Hill, hhill@fairus.org 202-328-7004

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SOURCE Federation for American Immigration Reform (FAIR)

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