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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

Pillsbury Notice of Data Breach

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NEW YORK, July 18, 2026 /PRNewswire/ — Pillsbury Winthrop Shaw Pittman LLP (“Pillsbury”) was among many law firms targeted by sophisticated social engineering attempts in an incident last year. While the firm quickly detected and blocked the activity, an unauthorized actor was able to access some of the firm’s documents during a short window of time. Pillsbury notified any impacted clients last year and undertook a detailed process to review the accessed documents for personal information. Pillsbury then began notifying individuals whose personal information was affected. That process is now complete, and today, Pillsbury is publishing substitute notice as a final step.

For more information, please visit the substitute notice on our website at https://www.pillsburylaw.com/en/breach-notice.html

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SOURCE Pillsbury Winthrop Shaw Pittman LLP

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From Remote Racing to Embodied AI: Fibocom and Intedigo Bring 5G Bidirectional Data Transmission into Real-World Applications

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SHANGHAI, July 18, 2026 /PRNewswire/ — From July 17 to 20, Fibocom and Intedigo will jointly present a cross-regional, beyond-visual-line-of-sight (BVLOS) teleoperation demonstration at Booth H3-C408 during the World Artificial Intelligence Conference (WAIC) 2026. Visitors will be able to enter a remote driving cockpit and control a real race car located at HURA PARK in Jiading, Shanghai, steering, accelerating, and braking in real time while experiencing how 5G connectivity enables remote operation.

More than an immersive driving experience, the demonstration provides a live validation of 5G bidirectional data transmission for embodied AI teleoperation. The vehicle continuously sends live track video, vehicle status, and operating data to the remote cockpit, while control commands are transmitted back to the vehicle, creating a closed-loop teleoperation system. Stable, low-latency, and highly reliable connectivity is essential for high-dynamic maneuvers such as high-speed cornering, precision braking, and continuous lane changes.

Developed by Intedigo, the remote driving system connects a real race car with an immersive remote driving cockpit. It supports 1080p@60Hz video transmission, glass-to-glass (G2G) video latency of less than 80 ms, and control latency of less than 10 ms. The demanding racing environment magnifies differences in video continuity and control responsiveness, making communications performance directly perceptible, measurable, and verifiable.

At the joint demonstration, Fibocom’s FM160 5G module provides cellular connectivity for the system. Powered by the Qualcomm Snapdragon™ X62 5G Modem-RF System, the FM160 supports SA and NSA network architectures as well as 3GPP Release 16. On the downlink, it supports NR Carrier Aggregation (NR CA) with bandwidth of up to 120 MHz, delivering peak speeds of up to 3.5 Gbps in NSA mode and 2.5 Gbps in SA mode. On the uplink, it supports UL MIMO and delivers peak speeds of up to 900 Mbps in SA mode. These capabilities support the continuous transmission of HD video and vehicle status data, along with reliable delivery of control commands.

As embodied AI moves into factories, data centers, logistics operations, and industrial parks, robots are becoming increasingly capable of performing tasks autonomously. Yet complex environments, unexpected events, and edge cases still require Human-in-the-Loop (HITL) remote intervention to help ensure safe and reliable operation.

Daniel Liu, CEO of Intedigo, said:

“5G represents the pinnacle of human communications and the starting point of machine communications. In the past, communications connected people to people; in the future, they will connect people to robots and robots to robots. Remote racing is simply the easiest entry point for people to understand this concept. What we are truly validating is a communications system capable of supporting remote collaboration for embodied AI. HURA makes low-latency remote driving a tangible experience, while RoBOX extends this capability to robots and a broader range of intelligent terminals. Together with Fibocom, we hope to enable more machines to receive remote assistance whenever needed while remaining continuously connected and operating reliably.”

Simon Tao, VP of Wireless Solutions Business Group and General Manager of MBB BU at Fibocom, said:

“As embodied AI enters real-world industrial environments, reliable connectivity will become the foundation for telemetry feedback, remote control and operational management. Fibocom’s 5G solutions, represented by FM160, provide the cellular connectivity required for continuous on-site data transmission and reliable control command delivery. Fibocom will continue collaborating with ecosystem partners such as Intedigo to bring cellular connectivity to more robots, autonomous machines and mobile intelligent terminals, enabling embodied AI systems to stay continuously connected and respond reliably in real-world applications.”

From remote race cars to robots, unmanned equipment, and mobile intelligent terminals, 5G is evolving from connecting people to connecting machines. This joint demonstration makes the capabilities of 5G bidirectional data transmission directly perceptible, experiential, and verifiable, helping pave the way for embodied AI to scale across real-world applications.
 

About Fibocom

Fibocom, founded in 1999, is China’s first wireless communication module company listed on both the A-share and H-share markets (300638.SZ, 0638.HK). As a global leading provider of wireless communication modules and AI solutions, Fibocom leverages wireless communication and artificial intelligence as its core technologies to provide integrated hardware and software solutions that empower industry applications. These solutions accelerate the transformation from “Connect Everything” to “Intelligent Connectivity” across diverse industries.

Fibocom’s one-stop solutions encompass cellular communication, AI, automotive, and GNSS modules, as well as AI toolchains, supporting industry-side and mainstream large model integration, and providing AI Agent, global connectivity, and cloud services, driving the digital intelligence upgrades in industries such as robotics, consumer electronics, low-altitude economy, intelligent transportation, smart retail, and smart energy.

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SOURCE Fibocom Wireless Inc.

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DR. PHONE FIX ANNOUNCES SECOND TRANCHE CLOSING OF NON-BROKERED CONVERTIBLE DEBENTURE UNIT FINANCING

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/NOT FOR DISTRIBUTION TO U.S. NEWSWIRE SERVICES OR FOR DISSEMINATION IN THE UNITED STATES/

EDMONTON, AB, July 18, 2026 /CNW/ — Dr. Phone Fix Canada Corporation (“Dr. Phone Fix” or the “Company”) (TSXV: DPF) is pleased to announce that, further to its news release dated May 19, 2026 and June 24, 2026 (the “Prior News Releases”), it has closed the second tranche of its non-brokered private placement (the “Offering”) of convertible debenture units of the Company (each, a “Unit”). The Company issued 726 Units, at a price of $1,000 per Unit, for aggregate gross proceeds of $726,000. Each Unit is comprised of (i) one $1,000 principal amount unsecured convertible debenture of the Company (a “Convertible Debenture”) and (ii) 3,125 common share (“Common Share”) purchase warrants of the Company (each, a “Warrant”). Additional detail on the Offering, including terms of the Convertible Debentures and Warrants, is set out in the Prior News Releases.

In connection with the Offering, the Company paid a finder’s fee consisting of an aggregate cash fee of $50,820 and issued an aggregate of 317,625 common share purchase warrants of the Company (each, a “Finder’s Warrant”) to certain qualified arm’s length parties. Each Finder’s Warrant is exercisable to acquire one Common Share of the Company at an exercise price of $0.22 prior to the date that is 24 months from the date of issuance.

All securities issued pursuant to the Offering, including any Common Shares issuable upon conversion of the Convertible Debentures or exercise of the Warrants and Finder’s Warrants, are subject to a statutory hold period of four months and one day from the closing of the Offering, in accordance with applicable securities laws and TSX Venture Exchange (the “TSXV”) policies. 

The Offering remains subject to final acceptance of the TSXV.

This news release does not constitute an offer to sell or a solicitation of an offer to buy any of the securities described in this news release in the United States. Such securities have not been, and will not be, registered under the U.S. Securities Act, or any state securities laws, and, accordingly, may not be offered or sold within the United States, or to or for the account or benefit of persons in the United States or “U.S. Persons”, as such term is defined in Regulation S promulgated under the U.S. Securities Act, unless registered under the U.S. Securities Act and applicable state securities laws or pursuant to an exemption from such registration requirements.

About Dr. Phone Fix

Dr. Phone Fix is a national, award-winning, eco-friendly, and customer-centric leader in Canada’s cell phone and electronics repair and certified pre-owned device industry. Founded in 2019, the Company now operates 44 retail locations nationwide through a standardized and scalable operating platform designed to support consistent execution across multiple markets, delivering fast, reliable, and environmentally conscious repair services alongside a curated selection of certified pre-owned devices and premium accessories. Dr. Phone Fix maintains strong partnerships with OEMs and certified suppliers, ensuring consistently high-quality standards across its national footprint. With a focus on responsible device lifecycle management, customer service, and operational discipline, Dr. Phone Fix continues to set the benchmark for device care and resale in Canada.

www.docphonefix.com

NEITHER THE TSXV NOR ITS REGULATION SERVICES PROVIDER (AS THAT TERM IS DEFINED IN THE POLICIES OF THE TSXV) ACCEPTS RESPONSIBILITY FOR THE ADEQUACY OR ACCURACY OF THIS NEWS RELEASE.

Forward-Looking Information and Cautionary Statements

Certain information in this news release constitutes forward-looking statements under applicable securities laws. Any statements that are contained in this news release that are not statements of historical fact may be deemed to be forward-looking statements. Forward-looking statements are often identified by terms such as “may”, “should”, “anticipate”, “expect”, “potential”, “believe”, “intend” or the negative of these terms and similar expressions. Forward-looking statements in this news release include statements relating to: the final acceptance of the Offering by the TSXV; and the expected use of proceeds following the closing of the Offering. Forward-looking information in this news release is based on certain assumptions and expected future events, namely: the Company’s financial condition and development plans do not change as a result of unforeseen events; the TSXV will provide its final acceptance of the Offering; and the Company will be able to obtain the financing required in order to develop and continue its business and operations. These statements involve known and unknown risks, uncertainties and other factors, which may cause actual results, performance or achievements to differ materially from those expressed or implied by such statements, including but not limited to: the Company’s inability to obtain TSXV final acceptance for the Offering; the potential failure to complete the balance of the Offering or to raise the full anticipated gross proceeds; market conditions and investor demand for the Company’s securities; the Company’s inability to deploy the proceeds as currently intended; and general economic and market conditions. Readers are cautioned that the foregoing list is not exhaustive. Readers are further cautioned not to place undue reliance on forward-looking statements, as there can be no assurance that the plans, intentions or expectations upon which they are placed will occur. Such information, although considered reasonable by management at the time of preparation, may prove to be incorrect and actual results may differ materially from those anticipated. Forward-looking statements contained in this press release are expressly qualified by this cautionary statement and reflect the Company’s expectations as of the date hereof and are subject to change thereafter. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, estimates or opinions, future events or results or otherwise or to explain any material difference between subsequent actual events and such forward-looking information, except as required by applicable law.

 

SOURCE Dr. Phone Fix

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