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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
Field Programmable Gate Arrays (FPGAs) are a type of device used in data center infrastructure that enable the reconfiguration of hardware for specific applications.
FPGAs offer tremendous flexibility, allowing them to be reprogrammed on the fly to adapt to new tasks, support different algorithms, and optimize performance. As a result, FPGAs are used in many different data center applications, including networking, storage, analytics, and machine learning.
FPGAs provide computational power in a small form factor, making them well-suited for data center environments. They are also able to reduce the number of components required to perform a certain task, resulting in lower power consumption and cost savings.
FPGAs also have the ability to accelerate data processing by orders of magnitude compared to traditional CPUs, making them attractive for latency-sensitive applications.FPGAs are also used for a variety of other data center purposes, such as security, cryptography, and encryption.
They can be used to implement custom algorithms and functions, making them an ideal solution for a variety of applications. Additionally, FPGAs are often used to offload certain tasks from a CPU, freeing up resources for other tasks.
Overall, FPGAs are a powerful and cost-effective tool for data centers. They provide a great deal of flexibility and performance, allowing them to be used for a variety of applications.
Additionally, FPGAs are able to reduce the number of components needed to perform certain tasks, resulting in lower power consumption and cost savings. As a result, FPGAs are increasingly being used in data centers to maximize performance and optimize efficiency.
The Global data center FPGA market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Xilinx has also released the Versal ACAP, which is designed for AI and 5G applications. This device is equipped with the latest technology, such as high-end AI processors and a new type of programmable logic, Adaptive Compute Acceleration Platform (ACAP).
ACAP is an FPGA-based architecture that allows hardware and software to be designed, developed, and deployed together. This device offers an unprecedented level of flexibility and scalability for applications that require high performance and low latency.
The Versal ACAP can be used to create custom computing solutions for data centers and other applications. It offers a combination of speed, low latency, and scalability that can help reduce the time to market for new products and services.
The Versal ACAP also includes a suite of AI-optimized capabilities, such as FPGA-optimized convolutional neural networks, which enable faster and more accurate inferencing.
Intel also recently announced a new FPGA-based product, the Intel Programmable Acceleration Card (PAC). The Intel PAC is designed to enable customers to accelerate their workloads and reduce the cost of deploying a data center.
The Intel PAC is an FPGA-based solution that combines the flexibility of FPGA with the high performance of Intel Xeon processors. This device offers a scalable, low-cost solution for applications that require high performance and low latency.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |