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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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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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Bloomberg Introduces Spread-to-Benchmark Quoting for EUR and GBP Portfolio Trading Baskets

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LONDON, June 2, 2026 /PRNewswire/ — Bloomberg today announced the launch of Spread-to-Benchmark quoting and trading for Euro (EUR) and Sterling (GBP) denominated portfolio trades through its Portfolio Trading Basket Builder (PTBB). The new functionality expands the range of quoting protocols available for European credit portfolio trading and reflects growing client demand for spread-based execution workflows, alongside increased dealer support for the convention across EUR and GBP markets.

Spread-to-Benchmark quoting is a well-established protocol for USD credit portfolio trades and is used by market participants to evaluate and execute portfolio trades. By extending this workflow to EUR and GBP portfolio trades, Bloomberg enables clients and dealers to transact using a familiar spread-based methodology across additional credit markets. 

The introduction of Spread-to-Benchmark quoting for EUR and GBP baskets reflects increased client interest in evaluating portfolio trades through a spread-based lens and the growing adoption of spread-based execution workflows in European credit markets. The workflow provides market participants with an additional framework for assessing the relationship between credit spread risk and underlying government bond yields when pricing and executing portfolio trades. 

Additional Workflow Flexibility 
The workflow complements Bloomberg’s existing portfolio trading capabilities, which support the full range of market-standard quoting conventions, including Price, Yield, Spread-to-Benchmark and Spread based workflows that reference Bloomberg’s evaluated pricing service (BVAL). This gives clients flexibility to compare and execute portfolio trades using the quoting methodology that best aligns with their investment objectives, execution preferences and internal risk management processes. 

“European credit clients continue to look for execution workflows that reflect how they evaluate risk and monitor portfolio trading outcomes,” said Harry Street, Global Head of Credit and Equities Trading Product at Bloomberg. “By expanding dealer support for Spread-to-Benchmark quoting for EUR and GBP baskets, Bloomberg is broadening the range of workflow options available to clients trading European credit portfolios.” 

“Portfolio trading workflows in fixed income continue to become more sophisticated as institutional investors look for ways to evaluate execution quality in changing market conditions,” said Kevin McPartland, Head of Market Structure & Technology Research at Crisil Coalition Greenwich. “Spread-based quoting helps market participants more clearly distinguish between the impacts of credit spread and underlying rates movements when determining how best to execute a portfolio trade.” 

Bloomberg’s Electronic Markets solutions are used by leading financial institutions to trade efficiently in over 175 markets around the world. More than 9,000 client firms use Bloomberg Electronic Markets to access industry-leading depth and breadth of liquidity across asset classes from over 800 dealers globally. Bloomberg Electronic Markets provides market participants with comprehensive solutions across the trading lifecycle, including robust price transparency, analytics, automation and execution, powered by Bloomberg’s high-quality, multi-asset class data and tools.

About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.

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SOURCE Bloomberg L.P.

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Dr. Sunho Kang, a senior battery-technology executive with leadership experience at major global battery and EV manufacturers, joins TeraWatt Technology as Head of Product and Technology

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SAN FRANCISCO, June 2, 2026 /PRNewswire/ — TeraWatt Technology Inc. (Headquartered in California, USA) is pleased to announce that Dr. Sunho Kang has joined the company as Head of Product and Technology.

Dr. Kang is a globally recognized battery-technology executive with more than 25 years of leadership experience spanning the United States, Asia, and Europe, and a distinguished track record of advancing innovations from laboratory research through gigafactory-scale production. He has held senior executive positions at world-leading organizations including Samsung SDI, Apple, and Volkswagen Group of America, and brings deep expertise in lithium-ion battery materials, cell engineering, and product industrialization across a broad range of applications, including electric vehicles and energy storage systems.

At TeraWatt, Dr. Kang will lead global product development and the commercialization of TeraWatt’s battery technology platform, aiming to accelerate the delivery of TeraWatt’s competitive products as well as the technology and commercialization roadmap including manufacturing scale-up.

Dr. Kang commented:

“I am thrilled to join TeraWatt Technology as Head of Product and Technology. TeraWatt’s innovative battery platform presents a tremendous opportunity to push the boundaries of lithium-ion technology, and I look forward to working with the team to accelerate product development and commercialization to deliver meaningful impact.”

TeraWatt Technology founder CEO Ken Ogata, Ph.D. commented:

“We are thrilled to welcome Dr. Kang as our Head of Product and Technology. His deep expertise in battery materials, cell engineering, and productization will be instrumental in accelerating TeraWatt’s product roadmap and technology leadership. Together with Dr. Kang, we will continue to drive our mission forward.”

About TeraWatt Technology Inc.
TeraWatt Technology Inc. is a California-based company that produces lightweight, high-power, and safe next-generation lithium-ion batteries.

Company Overview
Name: TeraWatt Technology Inc.
Representative: Co-founder and CEO Ken Ogata
Headquarters: 28 Geary St, Suite 650, San Francisco, CA 94108, United States
Founded: January 2020
Established: December 2019
URL: https://www.terawatt-technology.com/

 

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SOURCE TeraWatt Technology Inc.

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Tencent Cloud and Soniox Announce Strategic Partnership: Combining Advanced Speech-to-Text (STT) Technology with Global Real-Time Infrastructure

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HONG KONG, June 2, 2026 /PRNewswire/ — Tencent Cloud, the cloud business of global technology company Tencent, today announced a strategic partnership with Soniox, a San Francisco-based speech AI company that specializes in developing high-accuracy, low-latency speech AI solutions. The collaboration integrates Soniox’s speech-to-text (STT) technology with Tencent Cloud’s Real-Time Communication (TRTC) enterprise-grade global infrastructure, enabling enterprises to build and deploy multilingual voice AI applications across 200+ countries and regions.

Elevating Enterprise Voice AI at a Global Scale

In enterprise voice AI deployments, latency directly affects user experience and application reliability. The integration of Soniox’s high-accuracy, low-latency STT with TRTC’s global transmission infrastructure reduces latency across the entire pipeline, creating a comprehensive end-to-end solution for enterprises deploying conversational AI applications worldwide.    

Soniox is the voice platform for every language. Unlike legacy speech AI, which was built primarily for English-speakers, Soniox delivers native-speaker accuracy across 60+ languages. Its technology can handle mid-sentence language switching — a user can switch between English and Chinese in a single utterance, and Soniox will capture every word with complete accuracy. All of this works through a single API that works for both speech-to-text and text-to-speech.

By integrating TRTC, the partnership leverages an enterprise-grade real-time communication backbone featuring more than 3,200 global nodes, sub-300 ms worldwide latency, and advanced capabilities such as AI noise suppression and weak-network resilience. These capabilities enable conversational AI applications to operate reliably across diverse network environments, including regions such as Southeast Asia and Africa.

With the roll out of this partnership, developers can integrate the Soniox STT API directly within the Tencent Cloud console. Whether targeting English-speaking markets or supporting languages such as Arabic, Hindi, and Malay, enterprises can build global voice applications — including intelligent customer service, voice assistants, real-time translation, and meeting transcription — to address the demands of expansion into emerging markets and multilingual scenarios.

Wison Xie, Head of Product at Tencent RTC, stated: “Tencent RTC has always been committed to providing reliable real-time communication infrastructure for global enterprises. Our partnership with Soniox brings together our strengths in enterprise-grade audio transmission and Soniox’s advanced speech recognition technology. Together, we are making it easier for businesses to deploy accurate, low-latency voice AI applications across any language and any market.”

Klemen Simonic, CEO at Soniox Inc., stated “At Soniox, our mission is to help businesses understand every word, in any language, with native speaker accuracy and exceptional speed. Partnering with Tencent Cloud combines our speech AI with world-class real-time infrastructure, enabling enterprises to build voice AI experiences that scale globally with low latency and reliability.”

About Tencent Cloud:

Tencent Cloud, one of the world’s leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

About Tencent RTC:

Tencent RTC provides real-time communication solutions, including audio/video calling, live streaming, and in-game voice. With enterprise-grade security, AI-powered enhancements, and a global network of over 3,200 nodes, Tencent RTC powers mission-critical communication for customers worldwide.

About Soniox:

Soniox is a next-generation voice AI company bringing about the end of English-first speech AI. Most people on the planet did not grow up speaking English and often mix languages mid-sentence; and yet legacy speech AI was built for just English. Soniox is different: native-speaker accuracy across 60+ languages, true mid-sentence language switching, and flawless alphanumeric recognition that legacy providers still can’t match. For developers building global apps, Soniox is the only option. Try it for yourself at soniox.com.

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SOURCE Tencent Cloud

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