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AI Infrastructure Market worth $394.46 billion by 2030 – Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Dec. 2, 2024 /PRNewswire/ — The AI Infrastructure market is expected to grow from USD 135.81 billion in 2024 and is estimated to reach USD 394.46 billion by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 19.4% from 2024 to 2030 according to a new report by MarketsandMarkets™. Market growth in AI Infrastructure is primarily driven by NVIDIA’s Blackwell GPU architecture offering unprecedented performance gains, which catalyzes enterprise AI adoption. The proliferation of big data, advancements in computing hardware including interconnects, GPUs, and ASICs, and the rise of cloud computing further accelerate the demand. Additionally, investments in AI research and development, combined with government initiatives supporting AI adoption, play a significant role in driving the growth of the AI infrastructure market.

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Browse in-depth TOC on “AI Infrastructure Market” 
242 – Tables
86 – Figures
339 – Pages

AI Infrastructure Market Report Scope:

Report Coverage

Details

Market Revenue in 2024

$ 135.81 billion

Estimated Value by 2030

$ 394.46 billion

Growth Rate

Poised to grow at a CAGR of 19.4%

Market Size Available for

2020–2030

Forecast Period

2024–2030

Forecast Units

Value (USD Million/Billion)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

By Offerings, Memory, Network, Function, Deployment and Region

Geographies Covered

North America, Europe, Asia Pacific, and Rest of World

Key Market Challenge

Maintaining data security and integrity in distributed AI systems

Key Market Opportunities

Rise of AI-as-a-Service platforms

Key Market Drivers

Rising demand for high-performance computing in AI workloads

By offerings, network segment is projected to grow at a high CAGR of AI infrastructure market during the forecast period.

Network is a crucial element in the AI Infrastructure. It is used for the effective flow of data through the processing unit, storage devices, and interconnecting systems. In AI-driven environments where voluminous data has to be processed, shared, and analyzed in real time, a high-performance, scalable, and reliable network is needed. Without an efficient network, AI systems would struggle to meet the performance requirements of complex applications such as deep learning, real-time decision-making, and autonomous systems. The network segment includes NIC/ network adapters and interconnects. The growing need for low-latency data transfer in AI-driven environments drives the growth of the NIC segment. NICs and network adapters enable AI systems to process large datasets in real-time, thus providing much faster training and inference of the models. For example, Intel Corporation (US) unveiled Gaudi 3 accelerator for enterprise AI in April 2024, that supports ethernet networking. It allows scalability for enterprises supporting training, inference, and fine-tuning. The company also introduced AI-optimized ethernet solutions that include AI NIC and AI connectivity chips through the Ultra Ethernet Consortium. Such developments by leading companies for NIC and network adapters will drive the demand for AI infrastructure.

By function, Inference segment will account for the highest CAGR during the forecast period.

The AI infrastructure market for inference functions is projected to grow at a high CAGR during the forecast period, due to the widespread deployment of trained AI models across various industries for real-time decision-making and predictions. Inference infrastructure is now in higher demand, with most organizations transitioning from the development phase to the actual implementation of AI solutions. This growth is driven by the adoption of AI-powered applications in autonomous vehicles, facial recognition, natural language processing, and recommendation systems, where rapid and continuous inference processing is important for the operational effectiveness of the application. Organizations are investing heavily in support of inference infrastructure in deploying AI models at scale to optimize operational costs and performance. For example, in August 2024 Cerebras (US) released the fastest inference solution, Cerebras Inference. It is 20 times faster than GPU-based solutions that NVIDIA Corporation (US) offers for hyperscale clouds. The quicker inference solutions allow the developers to build more developed AI applications requiring complex and real-time performance of tasks. The shift toward more efficient inference hardware, including specialized processors and accelerators, has made AI implementation more cost-effective and accessible to a broader range of businesses, driving AI infrastructure demand in the market.

By deployment- hybrid segment in AI infrastructure market will account for the high CAGR in 2024-2030.

The hybrid segment will grow at a high rate, due to the need for flexible deployment strategies of AI that caters to various aspects of businesses, especially sectors dealing with sensitive information and require high-performance AI. hybrid infrastructure allows enterprises to maintain data control and compliance for critical workloads on-premises while offloading tasks that are less sensitive or computationally intensive to the cloud. For example, in February 2024, IBM (US) introduced the IBM Power Virtual Server that offers a scalable, secure platform especially designed to run AI and advanced workloads. With the possibility to extend seamless on-premises environments to the cloud, IBM’s solution addresses the increasing need for hybrid AI infrastructure combining the reliability of on-premises systems with the agility of cloud resources. In December 2023, Lenovo (China) launched the ThinkAgile hybrid cloud platform and the ThinkSystem servers, which are powered by the Intel Xeon Scalable Processors. Lenovo’s solutions give better compute power and faster memory to enhance the potential of AI for businesses, both in the cloud and on-premises. With such innovations, the hybrid AI infrastructure market will witness high growth as enterprises find solutions that best suit flexibility, security, and cost-effectiveness in an increasingly data-driven world.

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North America region will hold highest share in the AI Infrastructure industry.

North America is projected to account for the largest market share during the forecast period. The growth in this region is majorly driven by the strong presence of leading technology companies and cloud providers, such as NVIDIA Corporation (US), Intel Corporation (US), Oracle Corporation (US), Micron Technology, Inc (US), Google (US), and IBM (US) which are heavily investing in AI infrastructure. Such companies are constructing state-of-the-art data centers with AI processors, GPUs, and other necessary hardware to meet the increasing demand for AI applications across industries. The governments in this region are also emphasizing projects to establish AI infrastructure. For instance, in September 2023, the US Department of State announced initiatives for the advancement of AI partnering with eight companies, including Google (US), Amazon (US), Anthropic PBC (US), Microsoft (US), Meta (US), NVIDIA Corporation (US), IBM (US) and OpenAI (US). They plan to invest over USD 100 million for enhancing the infrastructure needed to deploy AI, particularly in cloud computing, data centers, and AI hardware. Such innovations will boost the AI infrastructure in North America by fostering innovation and collaboration between the public and private sectors.

Key Players

Key companies operating in the AI infrastructure companies are NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), Micron Technology, Inc. (US), Intel Corporation (US), Google (US), Amazon Web Services, Inc. (US), Tesla (US), Microsoft (US), Meta (US), Graphcore (UK), Groq, Inc. (US), Shanghai BiRen Technology Co., Ltd. (China), Cerebras (US), among others.

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Browse Adjacent Market: Semiconductor and Electronics Market Research Reports &Consulting

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AI Chip Market Size, Share & Industry Trends Growth Analysis Report by Offerings (GPU, CPU, FPGA, NPU, TPU, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory (DRAM (HBM, DDR)), Network (NIC/Network Adapters, Interconnects)), Function (Training, Inference) & Region – Global Forecast to 2029

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Laifen Expands U.S. Retail Footprint with Costco Launch of Best-Selling SE Hair Dryer

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Starting July 18, Costco Members Can Shop Laifen’s Award-Winning Hair Dryer in Select Warehouse Locations Across the U.S.

NEW YORK, July 18, 2026 /PRNewswire/ — Laifen, ranked the world’s No.1 high-speed hair dryer brand, today announced the launch of its best-selling SE High-Speed Hair Dryer at select Costco warehouse locations, marking the brand’s largest U.S. retail expansion to date and bringing its award-winning haircare technology to Costco members across select U.S. markets.

The launch brings Laifen’s award-winning haircare technology to Costco, making it easier for consumers to experience the brand through one of the nation’s leading membership retailers. Laifen joins Costco’s growing portfolio of premium beauty and personal care brands. The initial rollout includes select Costco warehouse locations across the United States, with a strong presence across the Western U.S., including California, the Pacific Northwest and the Southwest.

Costco’s reputation for quality and its highly selective merchandising approach make this partnership especially meaningful. The Costco launch reflects Laifen’s continued expansion beyond direct-to-consumer channels as the brand accelerates its U.S. omnichannel retail strategy. “Costco represents an important milestone in our U.S. retail strategy,” said Romeo, General Manager of International Business of Laifen. “As more consumers seek salon-quality performance at an accessible price, we’re excited to make Laifen available through one of America’s most trusted retailers.”

Engineered to deliver professional-level performance in a sleek, lightweight design, the Laifen SE is powered by the brand’s proprietary high-speed brushless motor, delivering fast drying, reduced heat damage and smoother styling. An intelligent temperature control system continuously monitors airflow to help minimize frizz while protecting hair from excessive heat.

The Costco launch represents the next phase of Laifen’s U.S. retail expansion as the brand continues to grow beyond its direct-to-consumer and online channels. By expanding into one of the nation’s most trusted retailers, Laifen aims to broaden access to its category-disrupting haircare solutions while advancing its mission to bring more thoughtful design and everyday excellence into more homes.

The Laifen SE High-Speed Hair Dryer in White will be available at select Costco locations, while Costco.com shoppers will have access to additional color options including Purple and Pink, alongside the White model.

For more information on Laifen, please visit LaifenTech.com.

About Laifen: 

Founded in 2019, Laifen is a global personal care technology brand combining high-performance engineering with modern design across hair care, oral care, and grooming categories. Ranked the world’s No. 1 high-speed hair dryer brand by Euromonitor International, Laifen first gained recognition for its self-developed 110,000 RPM high-speed brushless motor, the proprietary technology behind its award-winning hair dryers.

Building on this innovation, Laifen has expanded its portfolio to include electric toothbrushes and shavers, delivering premium technology and elevated everyday experiences to consumers worldwide. Today, Laifen products and accessories are used by over 22 million households across more than 60 countries, supported by more than 600 patents and recognized with over 50 international design and innovation awards. Driven by continuous technological breakthroughs, Laifen is committed to making cutting-edge personal care technology more accessible to consumers around the world.

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SOURCE Laifen

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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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