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AI Large Language Models Market Soars at 79.8% CAGR – Demand for Chatbots, Content Generation & NLP Rises | Valuates Reports

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BANGALORE, India, Jan. 30, 2025 /PRNewswire/ — Artificial Intelligence Large Language Models Market is Segmented by Type (Below 100 Billion Parameters, Above 100 Billion Parameters), by Application (Chatbots and Virtual Assistants, Content Generation, Language Translation, Code Development, Sentiment Analysis, Medical Diagnosis and Treatment, Education).

The Global Artificial Intelligence Large Language Models Market was valued at USD 1591 Million in 2023 and is anticipated to reach USD 259840 Million by 2030, witnessing a CAGR of 79.8% during the forecast period 2024-2030.

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Major Factors Driving the Growth of AI LLM Market:

The Artificial Intelligence Large Language Models Market is poised for substantial growth, driven by the increasing demand for advanced natural language processing capabilities across diverse industries. The market is characterized by continuous innovations in LLM technologies, enhancing their performance, scalability, and applicability in various applications such as chatbots, virtual assistants, and automated content creation. The integration of LLMs into business operations enables improved efficiency, personalized customer experiences, and data-driven decision-making, making them indispensable tools for modern enterprises.

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TRENDS INFLUENCING THE GROWTH OF THE ARTIFICIAL INTELLIGENCE LARGE LANGUAGE MODELS MARKET:

Large Language Models (LLMs) with below 100 billion parameters are instrumental in driving the growth of the Artificial Intelligence Large Language Models Market by offering cost-effective and scalable solutions for various applications. These models provide robust performance in natural language processing tasks such as text generation, sentiment analysis, and machine translation, making them accessible to a wider range of businesses, including startups and SMEs. Their lower computational requirements enable faster deployment and integration into existing systems, reducing the barriers to adoption. Additionally, advancements in model efficiency and optimization techniques have enhanced the capabilities of smaller LLMs, allowing them to deliver high-quality results without the need for extensive resources. This accessibility and efficiency foster broader usage across industries, contributing significantly to the market’s expansion.

These expansive models excel in complex language understanding and generation tasks, enabling advanced applications such as sophisticated chatbots, automated content creation, and deep semantic analysis. The increased parameter count allows for greater contextual awareness and more nuanced responses, enhancing user interactions and satisfaction. Moreover, the deployment of large-scale LLMs in sectors like healthcare, finance, and legal services drives innovation and efficiency, providing tailored solutions that meet specific industry needs. The continual investment in developing and refining these massive models ensures their dominance and sustains market growth by catering to high-demand, high-value applications.

Chatbots and virtual assistants are significant drivers of the growth of the Artificial Intelligence Large Language Models Market, as they leverage advanced LLMs to deliver enhanced user experiences and operational efficiencies. These AI-powered tools utilize natural language understanding and generation to interact seamlessly with users, providing instant support, personalized recommendations, and automated task handling. The integration of LLMs into chatbots and virtual assistants allows for more natural and intuitive conversations, increasing user engagement and satisfaction. Businesses across various sectors, including customer service, e-commerce, and healthcare, adopt these technologies to improve service delivery, reduce operational costs, and enhance customer interactions. The continuous advancements in LLM capabilities enable chatbots and virtual assistants to handle increasingly complex queries, driving their widespread adoption and contributing to the robust growth of the AI Large Language Models Market.

High-quality, diverse datasets are essential for training LLMs to perform accurately and effectively across various tasks. The proliferation of digital content, including text, audio, and video, provides a rich source of data that can be leveraged to enhance model training. Additionally, advancements in data preprocessing and augmentation techniques ensure that the data used is clean, relevant, and representative of real-world scenarios. The increased focus on data privacy and ethical data sourcing also plays a crucial role, as it ensures that models are trained responsibly, fostering trust and acceptance among users.

Industry-specific applications are a key driver of the Artificial Intelligence Large Language Models Market, as tailored LLM solutions address unique challenges and requirements within different sectors. In healthcare, LLMs assist in medical research, patient diagnostics, and personalized treatment plans by analyzing vast amounts of medical literature and patient data. In finance, they enhance risk assessment, fraud detection, and customer service through advanced data analysis and predictive modeling. The legal industry benefits from LLMs by streamlining document review, case research, and contract analysis, increasing efficiency and accuracy. Additionally, sectors like education, retail, and entertainment utilize LLMs to create customized content, optimize operations, and improve user engagement. The ability of LLMs to adapt to specific industry needs fosters innovation and operational excellence, driving the adoption and growth of the AI Large Language Models Market across diverse fields.

Cost efficiency is a significant factor driving the Artificial Intelligence Large Language Models Market, as businesses seek to maximize their return on investment while leveraging advanced AI capabilities. The development and deployment of LLMs, particularly those with extensive parameters, can be resource-intensive. However, advancements in model optimization, cloud computing, and scalable infrastructure have significantly reduced the costs associated with training and maintaining these models. Cloud-based AI services offer flexible pricing models, enabling businesses to access powerful LLMs without substantial upfront investments in hardware and software. Additionally, improvements in energy efficiency and computational algorithms contribute to lower operational costs, making LLMs more affordable and accessible. The balance between high performance and cost-effectiveness encourages broader adoption of LLMs, driving market growth by enabling more businesses to integrate advanced AI solutions into their operations.

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ARTIFICIAL INTELLIGENCE LARGE LANGUAGE MODELS MARKET SHARE

The key players of Large Language Model (LLM) include Open AI(ChatGPT), Google(PaLM) and Meta (LLaMA), etc. The top three players hold a share over 86%.

North America is the largest market, with a share of about 53%. North America leads the market, driven by its robust technology ecosystem, substantial investments in AI research, and the presence of major AI developers.

The Asia-Pacific region is experiencing rapid growth, fueled by increasing investments in AI, a growing number of technology startups, and expanding applications across diverse industries in countries like China, Japan, and India. In terms of product type, Below 100 Billion Parameters is the largest segment, occupied for a share of about 70%. In terms of application, Chatbots and Virtual Assistants have a share of about 32%.

Key Companies:

Open AI(ChatGPT)Google(PaLM)Meta (LLaMA)AI21 Labs(Jurassic)CohereAnthropic(Claude)Microsoft(Turing-NLG, Orca)Huawei(Pangu)Naver(HyperCLOVA)Tencent(Hunyuan)Yandex(YaLM)Amazon(Titan, Olympus)Alibaba(Qwen)Baidu (Ernie)Technology Innovation Institute (TII) (Falcon)CrowdWorksNEC

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

–          The Large Language Model (LLM) Market was valued at 10.5 Billion USD in 2022 and is anticipated to reach 40.8 Billion USD by 2029, witnessing a CAGR of 21.4% during the forecast period 2023-2029.

–          Small Language Model market was valued at USD 5180 Million in 2023 and is anticipated to reach USD 17180 Million by 2030, witnessing a CAGR of 17.8% during the forecast period 2024-2030.

–          AIGC Large Language Model (LLM) market was valued at USD 214.8 Million in 2023 and is anticipated to reach USD 259890 Million by 2030, witnessing a CAGR of 141.7% during the forecast period 2024-2030.

–          LLM Chat Bot Market

–          LLM Prompt Generation Tools Market was valued at USD 456 Million in the year 2024 and is projected to reach a revised size of USD 1018 Million by 2031, growing at a CAGR of 12.0% during the forecast period.

–          GPU Cloud Development Trends and Key Players in the Era of LLM and GenAI (pre-order)

–          Generative AI Market

–          Generative AI Solution Market

–          Virtual Assistant market size is expected to reach USD 8613.5 Million by 2029, growing at a CAGR of 22.3% from 2023 to 2029.

–          The global market for Artificial Intelligence and Machine Learning was estimated to be worth USD 2145 Million in 2023 and is forecast to a readjusted size of USD 4940.5 Million by 2030 with a CAGR of 11.8% during the forecast period 2024-2030.

–          Artificial Intelligence-based Personalization Market

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Technology

Football Tournament Season Sparks Global Social Connection Surge as 3Fun Reports Growth Across Key Markets

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NEW YORK, July 18, 2026 /PRNewswire/ — As the World Cup enters its final stage and fans celebrate across the globe, new data from 3Fun, the leading dating app for open-minded singles and partners, reveals that the World Cup’s impact extends far beyond the stadium. The tournament has ignited a massive surge in global social activity, with users increasingly turning to the platform to translate sporting euphoria into personal connections.

The “Celebratory Intimacy” Effect: Why Winning Drives Matching

Psychological research has long suggested that major sports victories do more than just boost national pride; they influence human biology and intimacy. Studies indicate that watching a favorite team win can temporarily elevate testosterone levels in fans, leading to a surge in sexual desire and “celebratory intimacy”. This theory is vividly reflected in 3Fun’s latest performance metrics.

Compared with the previous 20-day period, 3Fun saw a 6.13% increase in Daily Active Users (DAU) during the peak of the World Cup season (June 23 – July 12), adding more than 275,000 active participants. The platform’s “heat” was further evidenced by an additional 446,491 messages sent, while the user match rate jumped by 5.71%, resulting in nearly 50,000 new connections.

Spain and Argentina Lead the “Lust for Victory”

The data shows a direct correlation between success on the pitch and activity on 3Fun. Nations with deep football cultures and strong tournament performances saw the highest growth:

Spain: Witnessed a staggering 37.56% surge in new users.Argentina: Followed with a 26.62% increase.France & Mexico: Saw growth rates of 25.44% and 21.42% respectively.

In the U.S., cities like Houston (+8.98%) and New York (+7.45%) led the way. This trend aligns with a broader cultural shift: recent 3Fun data reveals that 69% of Americans report a growing interest in non-traditional relationships, with 77% of seekers preferring dating apps to find compatible partners.

Digital Jet-Setting: 3Fun’s “Roaming” Feature Becomes a Fan Favorite

While millions traveled for the games, many more “traveled” virtually. 3Fun’s new Roaming feature, currently in gray-scale testing, allows users to explore connections beyond their current location by virtually discovering communities in other cities.

The top 10 “Roaming” destinations during the Football Tournament  season reveal where the world’s social interest was concentrated:

Sao Paulo, Brazil (17.35% of total roaming volume)New York, USA (14.82%)Las Vegas, USA (11.37%)Los Angeles, USA (11.19%)London, UK (9.89%)Rio de Janeiro, Brazil (7.40%)Houston, USA (7.36%)Dallas, USA (7.18%)Miami, USA (6.85%)Chicago, USA (6.60%).

The dominance of Brazilian cities like Sao Paulo and Rio de Janeiro highlights a “digital pilgrimage” to the spiritual home of football, where users sought to connect with the local energy and like-minded fans.

3Fun Insight: Connection Beyond the Game

“Major global events like the World Cup bring people together far beyond the borders of the pitch,” said Daniel Morgan, 3Fun’s Director of Social Trends. “Our data shows that users aren’t just looking for scores; they are looking for meaningful, shared experiences. Whether through virtual roaming or local matching, these events create unique windows for people to explore their desires in a safe, celebratory, and inclusive community”.

Daniel further noted, “With 72% of users noticing growing acceptance of diverse relationship styles, global sports events such as the World Cup represent a moment when people feel more open to meeting others and exploring new forms of connection”.

About 3Fun: With over 10 million downloads and 3 million verified active users worldwide, 3Fun is the leading dating app for open-minded singles and partners to meet like-minded people. The platform provides a safe and inclusive space to explore ethical open relationships and polyamory, fostering community and connection without judgment. 

Disclaimer: 3Fun is not affiliated with, endorsed by, or sponsored by FIFA, the World Cup, or any official World Cup organizing body. All references to the tournament are descriptive or for informational and topical context only.

View original content:https://www.prnewswire.com/news-releases/football-tournament-season-sparks-global-social-connection-surge-as-3fun-reports-growth-across-key-markets-302828995.html

SOURCE 3Fun

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Best AI Design Tools (2026): CapCut Named a Top Choice for Creating Images and Marketing Assets by Software Experts

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NEW YORK, July 18, 2026 /PRNewswire/ — Software Experts has recognized CapCut as a top choice among AI design tools for 2026, citing its AI Design Studio as a standout resource for creating images and marketing assets. The recognition points to the platform’s combination of automated layout generation, image editing, and campaign focused features built for marketers, e-commerce sellers, and content creators.

Best AI Design Tools

CapCut AI Design Studio – a web based design workspace that uses AI to help users create ads, product visuals, and branded content without prior design experience.

Core Capabilities of the AI Design Studio

The AI Design Studio is built around a conversational, infinite canvas that allows users to work with an AI design agent in real time. Instead of starting from a blank template, users type a prompt, upload reference images, and receive layout options generated automatically.

The latest version, Design 2.0, brings references, drafts, assets, and edits into a single workspace. Features include pencil prompting for visual editing, smart layer split for separating subjects and backgrounds, and a One More function that generates new creative directions from an existing design. Users can circle, brush, or mark up an image directly to guide how the AI adjusts a design, rather than relying only on written prompts.

An inspiration hub with built in assets and license free images is also part of the workspace, helping users start projects without sourcing outside materials. Layers for text, subjects, and backgrounds remain editable throughout the process, which allows for adjustments without regenerating an entire design from scratch.

Applications for E-Commerce and Marketing Teams

The AI Design Studio supports several common business use cases, including product content creation, trend based design remixing, and clothing visualization for fashion brands. These features are designed to reduce the time spent on repetitive production tasks, particularly for teams that need to update visuals frequently.

For e-commerce sellers, the tool can generate product main images, banners, and packaging designs from a single uploaded photo, and supports batch replacement across shared backgrounds. A seller managing multiple product lines can apply the same background and layout across different items with one click, rather than recreating each asset individually.

Fashion brands can use the AI clothing try-on feature to visualize how garments appear on different models, helping with catalog updates during seasonal campaigns such as Black Friday. Marketing and social teams can generate assets in multiple styles and resize them automatically for different platforms, which helps maintain consistency across channels without manual reformatting. The trend remixing feature also allows brands to reference the structure of a popular design while keeping the content original to their own products.

Design Automation Powered by Seedream 5.0

For marketing posters and layout heavy assets, the AI Design Studio incorporates the Seedream 5.0 model, which is ranked first on Artificial Analysis’ Text-to-Image Leaderboard. The model is used to arrange visual elements, generate multiple layout variations, and handle typesetting automatically based on uploaded product images.

This approach is intended to reduce the manual work involved in formatting marketing materials. Uploading one or more product photos allows the system to generate several layout options, positioning text, imagery, and other elements without requiring manual placement. Once a layout is generated, users can continue refining it with stickers, filters, or additional effects within the same workspace.

The process is designed to move from prompt to a finished, ready to use asset without requiring separate design software. For teams producing large volumes of seasonal or promotional content, this can reduce the number of tools involved in a single campaign.

Why AI Design Tools Matter for Small Teams

AI design tools are becoming useful because many teams need more visual content than traditional workflows can comfortably support. The Software Experts review notes that marketers, creators, and small businesses often need product images, social graphics, banners, email headers, event posters, and campaign visuals on tight timelines.

For small teams, the main advantage is not simply automation. It is the ability to get to a workable draft faster. Starting from a blank canvas can slow down campaign production, especially when a team is managing several platforms or product lines. AI-assisted design tools can generate starting points, resize assets, suggest layouts, and help keep visuals consistent across channels.

Access and Getting Started

The AI Design Studio is accessible through CapCut desktop by selecting Design Agent from the main dashboard. Users enter a text prompt describing the desired output, optionally upload reference images, and review the generated results.

A typical workflow might involve uploading a reference photo and entering a detailed prompt describing a desired style, color palette, or setting. The AI then generates initial design options based on that input. The built in editor allows for further adjustments, including color changes, auto cutout, element removal, and text overlays, before the final image is downloaded in high resolution.

Software Experts noted that the AI Design Studio is suited to a range of users, from e-commerce sellers managing large catalogs to individual creators producing social media content, as well as marketing teams handling multiple campaigns at once. The tool is offered as part of CapCut’s existing platform, with pricing details available directly through CapCut.

Readers can find the full review at Software Experts.

About CapCut

CapCut is an AI-powered photo and video editing platform designed to make high-quality video creation accessible across devices. The platform supports creators, businesses, and everyday users with tools for video editing, AI video generation, captions, templates, audio, and visual editing. CapCut is available across mobile, web, desktop, and iPad experiences, helping users create, edit, and prepare video content for social media, marketing, education, and personal projects.

About Software Experts: Software Experts delivers in-depth news on the digital tools shaping today’s consumer experience. As an affiliate, Software Experts may earn commissions from sales generated using links provided.

View original content:https://www.prnewswire.com/news-releases/best-ai-design-tools-2026-capcut-named-a-top-choice-for-creating-images-and-marketing-assets-by-software-experts-302828625.html

SOURCE SoftwareExperts.org

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Technology

Best AI Design Tools (2026): CapCut Named a Top Choice for Creating Images and Marketing Assets by Software Experts

Published

on

By

NEW YORK, July 18, 2026 /PRNewswire/ — Software Experts has recognized CapCut as a top choice among AI design tools for 2026, citing its AI Design Studio as a standout resource for creating images and marketing assets. The recognition points to the platform’s combination of automated layout generation, image editing, and campaign focused features built for marketers, e-commerce sellers, and content creators.

Best AI Design Tools

CapCut AI Design Studio – a web based design workspace that uses AI to help users create ads, product visuals, and branded content without prior design experience.

Core Capabilities of the AI Design Studio

The AI Design Studio is built around a conversational, infinite canvas that allows users to work with an AI design agent in real time. Instead of starting from a blank template, users type a prompt, upload reference images, and receive layout options generated automatically.

The latest version, Design 2.0, brings references, drafts, assets, and edits into a single workspace. Features include pencil prompting for visual editing, smart layer split for separating subjects and backgrounds, and a One More function that generates new creative directions from an existing design. Users can circle, brush, or mark up an image directly to guide how the AI adjusts a design, rather than relying only on written prompts.

An inspiration hub with built in assets and license free images is also part of the workspace, helping users start projects without sourcing outside materials. Layers for text, subjects, and backgrounds remain editable throughout the process, which allows for adjustments without regenerating an entire design from scratch.

Applications for E-Commerce and Marketing Teams

The AI Design Studio supports several common business use cases, including product content creation, trend based design remixing, and clothing visualization for fashion brands. These features are designed to reduce the time spent on repetitive production tasks, particularly for teams that need to update visuals frequently.

For e-commerce sellers, the tool can generate product main images, banners, and packaging designs from a single uploaded photo, and supports batch replacement across shared backgrounds. A seller managing multiple product lines can apply the same background and layout across different items with one click, rather than recreating each asset individually.

Fashion brands can use the AI clothing try-on feature to visualize how garments appear on different models, helping with catalog updates during seasonal campaigns such as Black Friday. Marketing and social teams can generate assets in multiple styles and resize them automatically for different platforms, which helps maintain consistency across channels without manual reformatting. The trend remixing feature also allows brands to reference the structure of a popular design while keeping the content original to their own products.

Design Automation Powered by Seedream 5.0

For marketing posters and layout heavy assets, the AI Design Studio incorporates the Seedream 5.0 model, which is ranked first on Artificial Analysis’ Text-to-Image Leaderboard. The model is used to arrange visual elements, generate multiple layout variations, and handle typesetting automatically based on uploaded product images.

This approach is intended to reduce the manual work involved in formatting marketing materials. Uploading one or more product photos allows the system to generate several layout options, positioning text, imagery, and other elements without requiring manual placement. Once a layout is generated, users can continue refining it with stickers, filters, or additional effects within the same workspace.

The process is designed to move from prompt to a finished, ready to use asset without requiring separate design software. For teams producing large volumes of seasonal or promotional content, this can reduce the number of tools involved in a single campaign.

Why AI Design Tools Matter for Small Teams

AI design tools are becoming useful because many teams need more visual content than traditional workflows can comfortably support. The Software Experts review notes that marketers, creators, and small businesses often need product images, social graphics, banners, email headers, event posters, and campaign visuals on tight timelines.

For small teams, the main advantage is not simply automation. It is the ability to get to a workable draft faster. Starting from a blank canvas can slow down campaign production, especially when a team is managing several platforms or product lines. AI-assisted design tools can generate starting points, resize assets, suggest layouts, and help keep visuals consistent across channels.

Access and Getting Started

The AI Design Studio is accessible through CapCut desktop by selecting Design Agent from the main dashboard. Users enter a text prompt describing the desired output, optionally upload reference images, and review the generated results.

A typical workflow might involve uploading a reference photo and entering a detailed prompt describing a desired style, color palette, or setting. The AI then generates initial design options based on that input. The built in editor allows for further adjustments, including color changes, auto cutout, element removal, and text overlays, before the final image is downloaded in high resolution.

Software Experts noted that the AI Design Studio is suited to a range of users, from e-commerce sellers managing large catalogs to individual creators producing social media content, as well as marketing teams handling multiple campaigns at once. The tool is offered as part of CapCut’s existing platform, with pricing details available directly through CapCut.

Readers can find the full review at Software Experts.

About CapCut

CapCut is an AI-powered photo and video editing platform designed to make high-quality video creation accessible across devices. The platform supports creators, businesses, and everyday users with tools for video editing, AI video generation, captions, templates, audio, and visual editing. CapCut is available across mobile, web, desktop, and iPad experiences, helping users create, edit, and prepare video content for social media, marketing, education, and personal projects.

About Software Experts: Software Experts delivers in-depth news on the digital tools shaping today’s consumer experience. As an affiliate, Software Experts may earn commissions from sales generated using links provided.

View original content:https://www.prnewswire.com/news-releases/best-ai-design-tools-2026-capcut-named-a-top-choice-for-creating-images-and-marketing-assets-by-software-experts-302828625.html

SOURCE SoftwareExperts.org

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