When comparing the data segment revenues of Nvidia, AMD, and Intel, it is clear that Nvidia has experienced extraordinary growth in recent quarters. In the fourth quarter of the 2024 calendar year, Nvidia generated 35.6 billion U.S. dollars through its data center segment, a part of the business that includes graphics processing unit (GPU) sales. GPUs are used to train and run various large language models, most notably ChatGPT, the one developed by OpenAI.
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Global Market Share by Key Players (2025)
Category | Industry Share (%) |
---|---|
Top 3 (Intel, AMD, NVIDIA) | 55% |
Rest of Top 5 (IBM, Ampere Computing) | 20% |
Emerging Players (Fujitsu, SiPearl, Tachyum) | 15% |
Niche Providers (RISC-V, Alibaba T-Head, Marvell) | 10% |
Tier-Wise Company Classification (2025)
Tier | Tier 1 |
---|---|
Vendors | Intel, AMD, NVIDIA |
Consolidated Market Share (%) | 55% |
Tier | Tier 2 |
---|---|
Vendors | IBM, Ampere Computing, Fujitsu |
Consolidated Market Share (%) | 20% |
Tier | Tier 3 |
---|---|
Vendors | SiPearl, Tachyum, RISC-V players, Marvell |
Consolidated Market Share (%) | 25% |
In the third quarter of 2024, roughly 62 percent of x86 computer processor or CPU tests recorded were from Intel processors, while 35.5 percent were AMD processors. When looking solely at laptop CPUs, Intel is the clear winner, accounting for nearly 72 percent of laptop CPU test benchmark results in the third quarter of 2024. Traditional x86 processors The x86 is a family of instruction set architectures (ISA) for computer processors, otherwise known as central processing units (CPUs), which were initially developed by Intel. They refer to the way a CPU handles information, with x86 architecture of variable instruction lengths, and primarily of a complex instruction set computer (CISC) design. Although additions and developments to the x86 processor have taken place, backward compatibility has remained a key feature of the architecture; the newer x86 processors can run all the programs that older processors could run. Apple Mac processors The x86 processor is the predominant hardware platform for laptops, desktops, and servers globally. Both Windows and Mac laptops have used x86 chips; previously, Apple’s line of Mac products used PowerPC microprocessors, with the transition to Intel x86 architecture first acknowledged in 2005. The first generation of Intel-based Mac computers were released in January 2006, a partnership that continued through until 2020, where Apple announced the switch of the Mac line from Intel CPUs to Arm-based processors. The decision was made in order to standardize on one CPU architecture for all iPhone, iPad, and Mac products.
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The Data Center Chip market, valued at $15.59 billion in 2025, is projected to experience steady growth, driven by the increasing demand for high-performance computing (HPC) and artificial intelligence (AI) applications. The market's Compound Annual Growth Rate (CAGR) of 2.42% from 2025 to 2033 indicates a consistent expansion, fueled by advancements in cloud computing, big data analytics, and the proliferation of data centers globally. Key drivers include the rising adoption of cloud-based services, the expansion of 5G networks, and the growing need for faster and more energy-efficient data processing. The market is segmented by product type (GPUs, ASICs, CPUs, FPGAs) and business segment (small and medium enterprises, large enterprises). While the North American market currently holds a significant share, driven by strong technological innovation and substantial investments in data centers, the Asia-Pacific region, particularly China, is expected to witness robust growth owing to rapid technological advancements and increasing digitalization. Competition is fierce, with major players like NVIDIA, Intel, AMD, and others vying for market share through continuous innovation, strategic partnerships, and acquisitions. The industry faces challenges such as high research and development costs, component shortages, and increasing concerns around energy consumption. Despite these challenges, the long-term outlook remains positive, driven by ongoing technological advancements and the ever-growing demand for data processing capabilities. The competitive landscape is characterized by both established players and emerging startups. Established companies leverage their strong brand reputation, extensive product portfolios, and robust supply chains to maintain their position. Meanwhile, smaller, more agile companies are focusing on niche applications and innovative technologies to gain market share. Strategies include partnerships with cloud providers, offering tailored solutions for specific industries, and developing cutting-edge technologies like AI accelerators. Future growth will depend on companies' ability to innovate and adapt to the rapidly evolving demands of the data center industry, addressing challenges around power consumption, security, and scalability. Geographical expansion, particularly in high-growth markets in Asia and other developing economies, will also play a crucial role in achieving sustainable growth in the data center chip market.
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AMD shares drop nearly 9% in Europe due to a forecasted decline in data centre sales, affecting investor sentiment in the semiconductor market.
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The report covers Micro Server Companies and it is segmented by Processor Type (Intel, AMD, and ARM), Application (Data Center, Cloud Computing, Media Storage, and Data Analytics), End User (Small Enterprises, Medium Enterprises, and Large Enterprises), and Geography.
In the fourth quarter of 2024, AMD's leading business segments included Data Center and Client, generating 3.86 billion U.S. dollars and 2.31 billion U.S. dollars, respectively. AMD generated around 7.66 billion U.S. dollars in revenue in total during the quarter.
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The size and share of the market is categorized based on Application (, AMD Platform, Intel Platform ,) and Product (, AMD Platform, Intel Platform, , IT Data Center, Industry, Financial Calculation, Military, , Regional and Country-level Analysis) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).
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CPU Market size was valued at USD 51.25 Billion in 2023 and is projected to reach USD 101.42 Billion by 2031, growing at a CAGR of 10.2% during the forecast period 2024-2031.
Global CPU Market Drivers
The market drivers for the CPU Market can be influenced by various factors. These may include:
Technological Advancements: Continuous improvements in semiconductor technology, such as the transition towards smaller nanometer processes (e.g., 7nm, 5nm), are leading to the production of more powerful and energy-efficient CPUs. These advancements allow for higher performance in computational tasks, reduced power consumption, and minimized heat generation.
Increasing Demand for AI and Machine Learning: As AI and machine learning applications grow across industries, there is a rising need for CPUs that can efficiently handle these complex computations. Companies like Intel, AMD, and newcomers like Apple’s M1 chip are emphasizing AI-specific features in their CPU designs to cater to this growing market.
Expansion of Cloud Computing: The proliferation of cloud services offered by major players like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud is driving the demand for high-performance CPUs in data centers. Enhanced processing capabilities are crucial to handle the vast amounts of data and intensive computations required for cloud-based applications.
Growth in Gaming Industry: The gaming industry’s continual expansion, fueled by both casual and competitive gaming segments, demands powerful CPUs. The rise of esports and the ongoing development of graphically-intensive games require CPUs with higher clock speeds and better multi-threading capabilities to ensure optimal performance.
Edge Computing: The shift towards edge computing, where data processing happens closer to the data source rather than a central data center, demands robust and energy-efficient processors. CPUs designed for edge devices need to handle real-time data processing and analytics, which is driving innovation in this market segment.
Adoption of Internet of Things (IoT): The expanding IoT ecosystem, encompassing smart home devices, industrial IoT applications, and wearable technology, requires a range of CPU capabilities. Efficient, low-power CPUs are critical for these devices to function seamlessly, driving demand in the consumer and industrial sectors.
Remote Work and Digital Transformation: The COVID-19 pandemic accelerated the shift towards remote work, increasing the need for high-performance CPUs in both business and consumer markets. Companies are investing in infrastructure upgrades to support a remote workforce, boosting the demand for robust computing solutions.
Competition Among Major Players: Intense competition between giants like Intel, AMD, and emerging companies like ARM Holdings has led to continuous innovation and price-performance improvements in the CPU market. This competition drives investments in research and development, resulting in faster, more reliable CPUs.
Software Innovation: As software applications become more complex and demanding, there is a corresponding need for more powerful CPUs. The development of software that leverages parallel processing and multi-threading capabilities directly influences CPU design and performance requirements.
Environmental Sustainability: There’s an increasing emphasis on the environmental impact of electronics, including CPUs. The semiconductor industry is investing in greener manufacturing processes, reducing power consumption, and enhancing the longevity and recyclability of CPUs to address growing concerns about e-waste and energy usage.
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The Graphics Processing Unit (GPU) market is experiencing explosive growth, projected to reach a market size of $58.39 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 50.22%. This rapid expansion is fueled by several key drivers. The increasing demand for high-performance computing across diverse sectors, including gaming, artificial intelligence (AI), data centers, and high-resolution visual displays in consumer electronics, is a primary catalyst. Advancements in GPU architecture, leading to improved processing power and energy efficiency, further stimulate market growth. The proliferation of cloud computing and the rising adoption of machine learning algorithms are also significantly impacting the demand for GPUs, particularly high-end, specialized processing units. Furthermore, the integration of GPUs into mobile devices and other embedded systems is expanding the addressable market, creating new growth avenues. Segmentation reveals that integrated GPUs, while cost-effective for basic applications, are being surpassed by the growth of the discrete GPU segment, primarily driven by gaming and professional applications. The geographic distribution shows strong performance across North America, APAC (with China as a key driver), and Europe, reflecting global digital transformation initiatives. Competition is intense, with major players like NVIDIA, AMD, and Intel vying for market share through innovative product development and strategic partnerships. Despite the significant growth potential, certain restraints exist. The high cost of advanced GPUs and the increasing complexity of GPU manufacturing pose challenges to market expansion, particularly in price-sensitive segments. Supply chain disruptions and the dependency on specialized manufacturing processes also impact market stability. However, the long-term outlook remains overwhelmingly positive, given the sustained demand for GPU-accelerated computing across multiple industries and the ongoing innovation in GPU technology. Continued miniaturization, improved power efficiency, and the development of specialized GPUs tailored for specific applications will shape the future of this dynamic market. Companies are employing various competitive strategies including strategic acquisitions, R&D investments, and collaborations to secure their position within this rapidly evolving landscape.
Server Motherboard Market Size 2024-2028
The server motherboard market size is forecast to increase by USD 4.97 billion at a CAGR of 17.51% between 2023 and 2028.
As businesses strive to store and process more data, the demand for data centers and server farms is skyrocketing. At the same time, the rise of affordable motherboards for server systems is opening the door for small and medium-sized businesses to access cutting-edge server technology. The market is experiencing strong growth, driven by the increasing demand for data center servers and the subsequent expansion of network infrastructure. However, global economic uncertainties and supply chain disruptions pose challenges to market growth.
Despite these challenges, the market is expected to continue expanding due to the growing importance of digital transformation and the need for reliable and efficient server technology. The market analysis report provides a comprehensive overview of these trends and the factors influencing market growth.
What will be the Server Motherboard Market Size During the Forecast Period?
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Key components of server motherboards include memory modules, processors, expansion slots for PCI-express graphics cards and network adapters, and various hardware connections for hard drives and video cards. Miniaturization is a significant trend In the market, with mid-range motherboards becoming increasingly popular due to their compact size and cost-effectiveness. Central processing units from both AMD and Intel platforms dominate the market, with Intel's offerings maintaining a slight edge in market share.
Additionally, data center services continue to fuel demand for server motherboards, with data servers requiring high-density, high-performance motherboards to support storage controllers, RAID controllers, and gigabit ethernet ports. Memory and processor capabilities remain critical factors In the purchasing decision, with the latest DDR4 memory modules and multi-core processors offering significant performance gains. Desktop and laptop motherboards continue to evolve, with advancements in PCI-express technology enabling faster data transfer and improved connectivity options. Overall, the market is expected to continue its growth trajectory, driven by the increasing importance of data processing and storage in various industries.
How is this Server Motherboard Industry segmented and which is the largest segment?
The server motherboard industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Type
RISC
CISC
VLIW
End-user
Enterprise
Personal
Geography
APAC
China
Japan
South Korea
North America
US
Europe
South America
Middle East and Africa
By Type Insights
The RISC segment is estimated to witness significant growth during the forecast period.
The market is driven by various factors, including the adoption of RISC architecture. RISC processors, such as those based on ARM, Power, and SPARC architectures, offer power efficiency, quick instruction execution, and tailored processing capabilities, making them suitable for edge computing and IoT applications. While x86 architecture remains dominant, RISC solutions are gaining traction in specific use cases.
Additionally, the RISC segment's growth will contribute to the overall expansion of the market during the forecast period. Power efficiency and performance requirements are key considerations In the market, with RISC architectures offering a streamlined instruction set for quick execution and reduced power consumption. As RISC processors become increasingly relevant in edge computing and IoT environments, the market for server motherboards is poised for growth.
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The RISC segment was valued at USD 859.91 billion in 2018 and showed a gradual increase during the forecast period.
Regional Analysis
APAC is estimated to contribute 66% to the growth of the global market during the forecast period.
Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The motherboard market in APAC held a substantial share of the global server motherboard industry in 2023. China, Taiwan, South Korea, and Japan emerged as the leading revenue generators in this market. The region is projected to experience rapid growth during the forecast period due to increasing industrialization and rising disposable incomes. In APAC, the demand for motherboards is driven by the automotive and elec
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According to Cognitive Market Research, the global Artificial Intelligence Chip market size will be USD 21584.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 39.50% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 8633.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 6475.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 4964.37 million in 2024 and will grow at a compound annual growth rate (CAGR) of 41.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1079.21 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 431.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 39.2% from 2024 to 2031.
The BFSI held the highest Artificial Intelligence Chip market revenue share in 2024.
Market Dynamics of Artificial Intelligence Chip Market
Key Drivers for Artificial Intelligence Chip Market
Rapid data growth and computational power demand to Increase the Demand Globally
A compute-intensive processor is a critical parameter for the processing of AI algorithms. The speedier the chip, the more quickly it can process the data necessary to construct an AI system. AI processors are primarily utilized in data centers and high-end servers due to the fact that end computers are unable to manage such substantial workloads due to a lack of power and time. AMD provides a series of EPYC processors that include cloud services, data analytics, and visualization. It boasts an Ethernet bandwidth of 8–10 GB and a memory capacity of up to 4 TB. It provides security capabilities, flexibility, and sophisticated I/O integration. Cloud computing, high-performance computing (HPC), and numerous other applications are optimally served by AMD EPYC processors.
Growing potential of AI-based healthcare tools to Propel Market Growth
AI improves emergency care monitoring, real-time patient data collecting, and preventative healthcare suggestions. Health and wellness services like mobile apps may track patients' movements using AI. With AI-based tools, in-home health monitoring and information access, personalized health management, and treatment devices like better hearing aids, visual assistive devices, and physical assistive devices like intelligent walkers can be implemented efficiently. Thus, AI-based solutions are being used to improve the physical, emotional, social, and mental health of the elderly globally. Future applications may combine ML, DL, and computer vision for posture detection and geriatric behavior learning.
Restraint Factor for the Artificial Intelligence Chip Market
Minimal organized data for AI system development to Limit the Sales
Training and building a full and powerful AI system need data. The manual entry of data structured datasets earlier. The growing digital footprint and technology trends like IoT and Industry 4.0 generated large amounts of data from wearable devices, smart homes, intelligent thermostats, connected cars, IP cameras, smart devices, manufacturing machines, industrial equipment, and other remotely connected devices. Text, audio, and pictures make up this unstructured data. Without an organized internal structure, developers can't extract relevant data. Training machine learning tools requires high-quality labelled data and skilled human trainers. Time and skill are needed to extract and label unstructured data. Structured data is essential for AI system development. Companies are using semi-structured data to get insights from groupings.
Impact of Covid-19 on the Artificial Intelligence Chip Market
The long-term impact of the initial outbreak has been beneficial, despite the disruptions to the supply chain and manufacturing delays. The pandemic has expedited the process of AI adoption in a variety of industries, such as healthcare, retail, and manufacturing. The demand for AI processors was driven by the heightened necessity for automation, remote monitoring, and data and analytics. ...
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 63.33(USD Billion) |
MARKET SIZE 2024 | 68.6(USD Billion) |
MARKET SIZE 2032 | 130.0(USD Billion) |
SEGMENTS COVERED | Type, Deployment Type, End Use, Size, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | increasing cloud adoption, energy efficiency demands, rising data traffic, edge computing expansion, regulatory compliance pressures |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | NetApp, Intel, Vertiv, Emerson Electric, Dell Technologies, Microchip Technology, AMD, Pure Storage, Arista Networks, IBM, Schneider Electric, Juniper Networks, Hewlett Packard Enterprise, Huawei, Cisco Systems |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Edge computing expansion, Cloud service growth, AI-driven data processing, Green energy adoption, 5G infrastructure deployment |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 8.32% (2025 - 2032) |
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The GDDR5 market is experiencing steady growth, driven by the increasing demand for high-performance computing, gaming, and data center applications. This growth is expected to continue, with a projected market size of XXX million units by 2033, representing a CAGR of XX% during the forecast period from 2025 to 2033. The market is segmented based on application and type, with gaming and consumer electronics being the primary applications and 4GB and 8GB being the leading memory capacities. Key market players include Micron, Samsung, AMD, Nvidia, and ASUS, among others. Growing demand for advanced graphics processing units (GPUs) and video applications is a major driver of the GDDR5 market. The increasing popularity of high-defination gaming and streaming services has led to a surge in demand for GPUs with higher memory bandwidth and capacity. Other factors contributing to market growth include the adoption of GDDR5 memory in data center applications, where it is used for caching and buffering high-performance computing tasks. However, the market faces certain challenges, such as the availability of newer and more advanced memory technologies like GDDR6 and HBM2e, which offer superior performance and efficiency.
In February 2022, Xilinx was acquired by AMD for around 50 billion U.S. dollars.
Xilinx's generated more revenue from their aerospace and defense (A&D), industrial, and test measurement and emulation (TME) segment than any other segment during the third quarter of their 2022 fiscal year. The company generated 46 percent of their 1.01 billion U.S. dollars in revenue from this segment. The company made around 40 percent of the total amount in the Asia-Pacific region.
Xilinx’s business overview
Xilinx is a U.S. technology company that specializes in processor platforms, notably field-programmable gate arrays (FPGAs) and programmable system-on-chips (SoCs). FPGAs are a form of semiconductor device that can be reprogrammed after manufacturing, enabling them to be used for a range of applications. This feature is a contrast to application specific integrated circuits (ASICs) which are manufactured for specific design tasks. The SoCs designed by Xilinx – processors that typically incorporate a central processing unit (CPU), graphics processing unit (GPU) and memory – also allow for flexible programming.
Xilinx’s acquisition by AMD
The ability to reprogram products in this way has been cited as a key reason for Advanced Micro Devices (AMD) acquisition of Xilinx – a deal that has been valued at 35 billion U.S. dollars. AMD specializes in the development of computer processors, notably microprocessors, embedded processors, and GPUs. Analysts have suggested that the deal would allow the company to compete with other firms in supplying chips for data centers, particularly for cloud computing and machine learning activities.
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The size of the Logic Semiconductors Market was valued at USD 0.219 Billion in 2023 and is projected to reach USD 0.32 Billion by 2032, with an expected CAGR of 5.40% during the forecast period. Increasing demands for high-performance processors and microchips in various sectors such as consumer electronics, automotive, telecommunications, and data centres are the key drivers expanding the market for logic semiconductors. Logic semiconductors comprise microprocessors (MPUs), microcontrollers (MCUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). They serve a crucial role in handling digital tasks, system control, and complex computations. Key growth drivers for the market are smart devices, 5G technology, and AI and machine learning applications, which require high-speed, low-latency processing. Automotive electrification and advanced driver assistance systems (ADAS) are also increasing demand for logic semiconductors. The major players in the market are Intel, AMD, NVIDIA, Qualcomm, Texas Instruments, Broadcom, and Microchip Technology. Geographically, the largest markets are North America and Asia-Pacific (Taiwan, South Korea, and China), driven by increased technologies, manufacturing capabilities, and a high rate of adoption. However, factors such as supply chain constraints, rising production costs, and increasing design complexity may restrain further market growth. The global market will grow at about 6% CAGR in the next few years. Recent developments include: November 2022: Nikkei has learned that a consortium of eight prominent Japanese firms, among them Toyota Motor and Sony Group, will collaborate with the government to establish a new organization focused on the development and production of cutting-edge semiconductor technology., May 2021: Samsung Electronics, renowned as a global leader in advanced semiconductor technology, has unveiled its latest cutting-edge packaging technology, Interposer-Cube4 (I-Cube4), marking another milestone in the evolution of chip packaging technology. The I-Cube4, part of Samsung's I-CubeTM technology family, introduces heterogeneous integration by horizontally placing one or more logic dies (such as CPU and GPU) alongside several High Bandwidth Memory (HBM) dies on a silicon interposer. This innovative approach allows multiple dies to function seamlessly as a unified chip within a single package., July 2021: Cirrus Logic, Inc. has disclosed its strategic move to acquire Lion Semiconductor, a California-based company, for a sum of $335 million in cash. This acquisition is set to enrich Cirrus Logic's portfolio with distinctive intellectual property and product offerings geared toward power applications in an array of devices, including smartphones and laptops. It also provides a catalyst for the expansion of Cirrus Logic's high-performance mixed-signal business. The integration of Lion Semiconductor into the Cirrus Logic family is anticipated to offer an immediate positive impact on both GAAP and non-GAAP earnings per share, with an estimated revenue contribution of approximately $60 million expected between the completion of the deal and the conclusion of FY22.. Notable trends are: Increasing demand for consumer electronics anticipated market growth.
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The global Precision Liquid-Cooled GPU Server market is anticipated to reach a valuation of USD 248 million by 2033, expanding at a CAGR of 6.0% during the forecast period (2023-2033). The increasing demand for high-performance computing and the need for efficient cooling solutions to prevent overheating of GPU servers are key factors driving market growth. Precision liquid-cooled GPU servers offer enhanced cooling capabilities and improved energy efficiency compared to traditional air-cooled servers, making them suitable for demanding applications such as data centers, cloud computing, and artificial intelligence. The market is segmented based on application and type. By application, the electricity segment holds a significant share due to the rising need for reliable and efficient data centers. Telecommunications and finance are other major application areas, driven by the increasing use of GPU servers for network optimization and financial modeling. By type, cold plate liquid cooling dominates the market, providing direct cooling to the GPU and ensuring optimal thermal performance. Immersed liquid cooling and spray liquid cooling are gaining traction as alternative cooling methods. Key market players include AMD, Intel, HP, NVIDIA, and Inspur Information, among others, who are focusing on innovative cooling technologies and strategic partnerships to cater to the growing demand.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 35.83(USD Billion) |
MARKET SIZE 2024 | 38.28(USD Billion) |
MARKET SIZE 2032 | 65.0(USD Billion) |
SEGMENTS COVERED | Architecture, Number of Cores, Application, End Use, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Technological advancements, Increasing data center demand, Shift to cloud solutions, Rising performance requirements, Cost optimization pressures |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Intel, ARM Holdings, Amazon, AMD, Dell Technologies, Microchip Technology, Google, IBM, NVIDIA, Cisco, Ayla Networks, Broadcom, Qualcomm, Hewlett Packard Enterprise, Marvell Technology |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Increased demand for cloud computing, Growth in AI and machine learning, Expansion of edge computing applications, Rising need for energy-efficient processors, Adoption of hybrid cloud solutions |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 6.84% (2025 - 2032) |
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 15.66(USD Billion) |
MARKET SIZE 2024 | 16.81(USD Billion) |
MARKET SIZE 2032 | 29.6(USD Billion) |
SEGMENTS COVERED | Processing Technology ,Server Type ,Memory Capacity ,Storage Capacity ,Application ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | 1 Rising demand for data storage 2 Increasing adoption of cloud computing 3 Growing need for faster processing 4 Advancement in virtualization technology 5 Growing emphasis on cybersecurity |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Lenovo ,Dell Technologies ,Cisco Systems ,Fujitsu ,NEC ,Powertech Systems ,Inspur ,Gigabyte Technology ,Huawei Technologies ,ASRock Rack ,Quanta Computer ,HPE ,IBM ,Supermicro |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | 1 Cloud and hybrid computing adoption 2 Growing demand for AI and ML applications 3 Increasing adoption of edge computing 4 Penetration in telecom and BFSI sectors 5 Surge in data center investments |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 7.33% (2025 - 2032) |
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 4.21(USD Billion) |
MARKET SIZE 2024 | 5.2(USD Billion) |
MARKET SIZE 2032 | 28.4(USD Billion) |
SEGMENTS COVERED | Form Factor ,Processor ,Memory ,Storage ,Network ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Rising demand for highperformance computing HPC Growing adoption of artificial intelligence AI and machine learning ML Increasing energy efficiency concerns Government regulations on data center cooling Technological advancements in liquid cooling systems |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Atos ,Cisco Systems ,Dell Technologies ,Fujitsu ,Hewlett Packard Enterprise ,Hitachi ,Inspur ,Lenovo ,LiquidCool Solutions ,Rittal ,Schneider Electric ,Supermicro ,Vertiv ,ZutaCore |
MARKET FORECAST PERIOD | 2024 - 2032 |
KEY MARKET OPPORTUNITIES | Growing demand for highdensity computing Focus on energy efficiency and sustainability Increase in adoption of artificial intelligence and machine learning Expansion into new vertical markets Government initiatives to promote green data centers |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 23.64% (2024 - 2032) |
When comparing the data segment revenues of Nvidia, AMD, and Intel, it is clear that Nvidia has experienced extraordinary growth in recent quarters. In the fourth quarter of the 2024 calendar year, Nvidia generated 35.6 billion U.S. dollars through its data center segment, a part of the business that includes graphics processing unit (GPU) sales. GPUs are used to train and run various large language models, most notably ChatGPT, the one developed by OpenAI.