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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

Field Programmable Gate Array (FPGA) Market Size, Share & Industry Trends Analysis Report by Configuration (Low-end FPGA, Mid-range FPGA, High-end FPGA), Technology (SRAM, Flash, Antifuse), Node Size (=16 nm, 20-90 nm, >90 nm), Vertical (Telecommunications, Data Center & Computing, Automotive) & Region – Global Forecast to 2029

About MarketsandMarkets™

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

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Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.

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TotalEnergies ENEOS signs 15-year PPA with Thailand’s Jintana Intertrade

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NAKHON RATCHASIMA, Thailand, April 22, 2026 /PRNewswire/ — TotalEnergies ENEOS and Jintana Intertrade Co., Ltd. (Jintana), an established Thai garment manufacturer, signed a 15-year Power Purchase Agreement (PPA) to develop a 650 kilowatt-peak (kWp) rooftop solar photovoltaic (PV) system at Jintana’s manufacturing plant in Nakhon Ratchasima, Thailand.

The rooftop solar installation, with approximately 1,000 solar PV modules, is expected to generate over 1,000 megawatt-hours (MWh) of renewable electricity annually. This will supply around 55% of the site’s total electricity needs and will help avoid more than 480 tons of CO2 emissions annually for Jintana.

Under the PPA, TotalEnergies ENEOS will fully finance, design, install, operate and maintain the system, while Jintana buys the electricity produced throughout the duration of the agreement. This partnership offers Jintana substantial benefits, primarily through electricity cost savings, long-term energy price stability and enhanced sustainability credentials.

“We are pleased to sign this 15-year deal with Jintana, marking the start of our partnership to support their sustainability goals,” said Alexandru Buzatu, Director of TotalEnergies ENEOS Renewables Distributed Generation Asia Pacific. “More corporates are adopting solar energy to reduce costs and meet sustainability targets. Integrating on-site solar power into manufacturing operations is a practical and effective approach for companies to reduce emissions and secure cleaner electricity for the long term.”

“Signing this project with TotalEnergies ENEOS represents an important milestone in Jintana’s sustainability journey. We are pleased to contribute to emissions reduction through the adoption of renewable energy at our manufacturing site and to take a meaningful step toward more sustainable operations. We hope this project will serve as a strong foundation for further progress, and we remain committed to supporting a lower-carbon future,” said Savitee Thanalongkorn, CEO of Jintana Intertrade Co., Ltd.

To learn more about TotalEnergies ENEOS tailored solar solutions, check out the free brochure, or contact directly for more information.

***

About TotalEnergies ENEOS Renewables Distributed Generation Asia Pte. Ltd.
The company is a 50/50 joint venture between TotalEnergies and ENEOS to develop onsite B2B solar distributed generation across Asia. It is headquartered in Singapore with a plan to develop 2 GW of decentralized solar capacity over the next five years. https://solar.totalenergies.asia

TotalEnergies and electricity
TotalEnergies is building a competitive portfolio that combines renewables (solar, onshore wind, offshore wind) and flexible assets (CCGT, storage) to deliver clean firm power to its customers. At the beginning of 2026, TotalEnergies has more than 34 GW of gross renewable power generation capacity and aims to achieve over 100 TWh of net electricity production by 2030.

ENEOS Corporation and renewables electricity
ENEOS Group operates solar power plants in Japan and is also participating in renewable energy projects in the United States, Australia, Vietnam and Taiwan Region. Furthermore, ENEOS is actively engaged in power generation projects using biomass, hydroelectric power, wind power, etc. This joint venture is ENEOS’ first overseas renewable energy project using distributed power sources. 

About TotalEnergies
TotalEnergies is a global integrated energy company that produces and markets energies: oil and biofuels, natural gas, biogas and low-carbon hydrogen, renewables and electricity. Our more than 100,000 employees are committed to provide as many people as possible with energy that is more reliable, more affordable and more sustainable. Active in about 120 countries, TotalEnergies places sustainability at the heart of its strategy, its projects and its operations.

About ENEOS Corporation
ENEOS Group has developed businesses in the energy and nonferrous metals segments, from upstream to downstream. The Group’s envisioned goals for 2040 are: becoming one of the most prominent and internationally competitive energy and materials company groups in Asia, creating value by transforming our current business structure, and contributing to the development of a low-carbon, recycling-oriented society with the pursuit of carbon-neutral status in its own CO2 emissions. ENEOS Corporation, one of the principal operating companies in the Group, is contributing to achievement of the Group’s envisioned goals through a broad range of energy businesses. 

TotalEnergies ENEOS Contact
Media Relation: contact.solar.asia@totalenergies.com

About Jintana Intertrade Co., Ltd.
Jintana Intertrade Co., Ltd. is a long-established Thai intimate apparel company with more than 65 years of heritage. The company operates across two core business areas: the development and retail of its own brand, and manufacturing for both its branded business and OEM export customers. Built on a foundation of sincerity, quality and continuous improvement, Jintana combines trusted brand heritage with established manufacturing expertise to serve evolving customer needs in both domestic and international markets.

Jintana Intertrade Co., Ltd. Contact
Media Relation: marketing@jintana.com

TotalEnergies on social media

X: @TotalEnergiesLinkedIn: TotalEnergiesFacebook: TotalEnergiesInstagram: TotalEnergies

Cautionary Note TotalEnergies
The terms “TotalEnergies”, “TotalEnergies company” or “Company” in this document are used to designate TotalEnergies SE and the consolidated entities that are directly or indirectly controlled by TotalEnergies SE. Likewise, the words “we”, “us” and “our” may also be used to refer to these entities or to their employees. The entities in which TotalEnergies SE directly or indirectly owns a shareholding are separate legal entities. This document may contain forward-looking information and statements that are based on a number of economic data and assumptions made in a given economic, competitive and regulatory environment. They may prove to be inaccurate in the future and are subject to a number of risk factors. Neither TotalEnergies SE nor any of its subsidiaries assumes any obligation to update publicly any forward-looking information or statement, objectives or trends contained in this document whether as a result of new information, future events or otherwise. Information concerning risk factors, that may affect TotalEnergies’ financial results or activities is provided in the most recent Registration Document, the French-language version of which is filed by TotalEnergies SE with the French securities regulator Autorité des Marchés Financiers (AMF), and in the Form 20-F filed with the United States Securities and Exchange Commission (SEC).

Cautionary Note ENEOS Corporation
The terms “ENEOS”, “ENEOS Group” in this document are used to designate ENEOS Corporation and the consolidated entities that are directly or indirectly controlled by ENEOS Corporation. This document contains certain forward-looking statements. Actual results may differ materially from those reflected in any forward-looking statement due to various factors, which include, but are not limited to, the following: (1) macroeconomic conditions and changes in the competitive environment in the energy, resources, and materials industries; (2) the impact of COVID-19 on economic activity; (3) changes in laws and regulations; and (4) risks related to litigation and other legal proceedings.

 

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SOURCE TotalEnergies ENEOS Renewables Distributed Generation Asia

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Taiwan’s Smart Tolling Technology Goes Global as Thailand Launches AI-Powered M81 Motorway System

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TAIPEI, April 22, 2026 /PRNewswire/ — Sightings of electronic toll collection (ETC) gantries resembling those used on Taiwan’s freeways have recently drawn attention on social media along the Bangkok–Kanchanaburi highway. Far Eastern Electronic Toll Collection Co., Ltd. (FETC) confirmed that the system is part of Thailand’s newly launched M-Flow multi-lane free-flow tolling system on the Intercity Motorway No. 81 Bang Yai – Kanchanaburi Route (M81).

Developed in collaboration with FETC International (Thailand) Co., Ltd. (FETCi Thailand) and the BGSR81 Co., Ltd, the system has officially entered operation, marking a significant milestone in Thailand’s transition toward smart, digitally enabled highway infrastructure.

The launch also strengthens connectivity between Bangkok and Kanchanaburi, effectively creating a “one-day travel corridor” and supporting regional tourism and economic activity.

AI-Driven Tolling Cuts Travel Time to 48 Minutes

According to Kenny Chen, Managing Director of FETCi Thailand, the M81 project demonstrates the flexibility and scalability of Taiwan’s ETC technology in complex international environments.

FETCi Thailand led the design, installation, and implementation of the tolling system and its Traffic Operations Center (TOC). The platform integrates artificial intelligence (AI) and Internet of Things (IoT) technologies to enable data-driven traffic management and operational decision-making. It is also designed for future expansion, including applications such as weigh-in-motion enforcement.

Thailand’s diverse vehicle types and more complex license plate formats presented technical challenges. These were addressed through advanced AI-powered automatic license plate recognition (ALPR), ensuring high accuracy in vehicle identification. Combined with multiple digital payment options, the system allows vehicles to pass through toll points without stopping.

Since its launch, travel time between Bangkok and Kanchanaburi has been reduced from nearly two hours to approximately 48 minutes. Weekend traffic volumes have reached around 55,000 vehicles per day, improving both tourism access and logistics efficiency in western Thailand.

M9 Experience Highlights Strong Economic and Environmental Benefits

FETC has also supported Thailand’s Department of Highways (DOH) since 2022 in deploying and operating the M-Flow system on the M9 motorway, including gantry design and operational consulting.

According to DOH data, the system has increased traffic throughput fivefold and saves motorists an estimated 3.33 million hours annually. It has achieved a benefit-cost ratio of 6.94, meaning each dollar invested generates nearly seven dollars in overall societal value.

In environmental terms, the system reduces fuel consumption by approximately 13.91 million liters per year and cuts carbon emissions by more than 36,000 metric tons, contributing to more sustainable transportation.

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SOURCE FETC International

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Critical Link Launches World’s First AI-Driven SOM Recommendation Engine, Powered by Rapidflare

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Critical Link and Rapidflare have jointly launched the world’s first AI-driven System on Module Recommendation Engine. Engineers can now describe their requirements in plain language and receive accurate, tailored SOM recommendations in seconds. Together, the two companies are redefining how electronics teams discover and select embedded solutions.

SAN JOSE, Calif., April 21, 2026 /PRNewswire-PRWeb/ — Critical Link LLC, a leader in system-on-module solutions, has introduced the world’s first AI-driven System on Module Recommendation Engine, powered by Rapidflare’s Rapid Product Selection Agent. The new engine advances Critical Link’s mission to help customers bring embedded products to market faster and more cost-effectively.

Together, Rapidflare and Critical Link are combining their strengths to make the journey from concept to product faster, smarter, and more closely aligned with customer needs. – Amber Thousand, Sr. Director of Marketing, Critical Link

In the electronics industry, selecting the right product often requires manually comparing hundreds of pages of datasheets or relying on rigid parametric search tools. Critical Link’s SOM Recommendation Engine is set to change that. With Rapidflare’s conversational AI agent, customers can describe their requirements in natural language and receive tailored recommendations in a fraction of the time.

“For years customers have asked for a better way to find the right SOM for their application. Launching this AI-driven engine with Rapidflare’s technology is a game changer,” said Amber Thousand, Sr. Director of Marketing at Critical Link. “Their accuracy, domain expertise, and speed of integration made them the clear choice to support our mission.”

Unlike generic AI agents, Rapidflare’s technology is purpose-built for complex product selection workflows. It combines knowledge graph-based reasoning, domain-specific intelligence, and industry guardrails to deliver recommendations that are both fast and reliable for electronics teams.

“The best partnerships happen when your mission aligns with your partner’s mission,” said Navanee Sundaramoorthy, CEO and Founder at Rapidflare. “We’re proud to partner with Critical Link to help make SOM product selection more seamless, intuitive, and efficient for their team and customers.”

Beyond accelerating product selection, the AI engine gives engineers a new way to engage with Critical Link. “We’ve always offered thorough documentation and product support to customers via our website, our engineering wiki, and personal contact. Adding the SOM Recommendation Engine creates a more efficient path for self-discovery, which we see as a growing trend,” said Thousand. “Together, Rapidflare and Critical Link are combining their strengths to make the journey from concept to product faster, smarter, and more closely aligned with customer needs.”

To explore Critical Link’s SOM Recommendation Engine, visit https://www.criticallink.com/som-recommendation-ai-agent/.

To learn more about Rapidflare and its AI-powered product selection solutions, visit Rapidflare’s website: https://www.rapidflare.ai/

About Rapidflare

Rapidflare builds AI-powered domain specific agents for electronics, semiconductors, and other technically complex industries. Its product intelligence powered AI platform gives teams natural-language access to product and engineering knowledge, making it easier to find accurate answers, support customers, and move faster across critical workflows. Rapidflare multiplies the impact of GTM teams by making critical technical knowledge instantly accessible, helping sales, solutions engineering, product marketing, support, and customer success teams move faster and operate with confidence. For more information, visit rapidflare.ai

About Critical Link

Critical Link designs and manufactures CPU-based, FPGA-based, and DSP-based system-on-modules (SOMs) for industrial electronic applications. Its production-ready embedded solutions help customers bring products to market faster and at lower cost by reducing development complexity, risk, and time spent building core processing subsystems from scratch. With a focus on product quality, long-term availability, lifecycle support, and close customer engagement, Critical Link serves OEMs across a wide range of industrial and technically demanding applications. For more information, visit the website: criticallink.com

Media Contact

Balpreet, Rapidflare, 1 2068614231, balpreet@rapidflare.ai, rapidflare.ai

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