PUBLISHER: Orion Market Research | PRODUCT CODE: 1882941
PUBLISHER: Orion Market Research | PRODUCT CODE: 1882941
Field-Programmable Gate Array (FPGA) Market Size, Share & Trends Analysis Report by Types (Low-End FPGAs, Mid-Range FPGAs, High-End FPGAs) by Technology (SRAM-based FPGAs, Flash-based FPGAs, Antifuse-based FPGAs, Others), and by End Users (Telecommunications, Consumer Electronics, Test & Measurement, Data Centers, Military & Aerospace, Industrial, Automotive, Healthcare, Multimedia & Broadcasting) Forecast Period (2026-2035)
Industry Overview
FPGA market was valued at $8.7 billion in 2025 and is projected to reach $18.6 billion by 2035, growing at a CAGR of 7.2% during the forecast period (2026-2035). The FPGA global market is expanding owing to the rising demand for AI and edge computing solutions, the rapid deployment of 5G infrastructure, expansion in FPGA product portfolio, the growing use of FPGA-based accelerators in data centers and cloud computing, the increasing adoption in automotive and industrial automation for real-time control and ADAS applications, and the expanding deployment in healthcare. In September 2025, Altera launched a wave of new FPGA hardware and software solutions that emphasize the company's ongoing investment in expanding the accessibility and scalability of programmable logic across a broad range of markets, including industrial, vision, defense, aerospace, communications, and data center.
Market Dynamics
Rising Adoption of FPGAs in Medical Device Development
FPGAs are increasingly used in medical device development due to their flexibility and cost efficiency. FPGAs avoid high upfront NRE costs and large order requirements. It allows reprogramming, enabling quick updates and design improvements. Compared to ASSPs, FPGAs have more capabilities in terms of customization and integration. These features help the manufacturers build differentiated products and respond quickly to market changes. FPGAs also enable long product lifecycles with field upgrades, reducing susceptibility to obsolescence. AI is reordering healthcare by enabling real-time image analysis, continuous monitoring, and personalized care. FPGAs enable MRI machines, CT scanners, and ultrasound systems to process high-resolution images in real time. According to the Food and Drug Administration, there are approximately 260,000 different types of medical devices on the US market, manufactured in more than 27,000 facilities globally. This diversity of devices is fast fueling FPGA demand in medical imaging, diagnostics, and wearable health technologies.
Growing Role of FPGAs in the 5G and IoT Ecosystem
The increasing number of innovations with 5G and IoT technologies has generated unprecedented demand for high-speed, low-latency, and power-efficient computing solutions. FPGAs are proving to be an indispensable tool for meeting exactly these exacting requirements. FPGA has the potential to be resource/power efficient, and it can be used for building up constituents of 5G infrastructure. It can accelerate network performance without making a large investment in new hardware. Dynamic configurability and in-field programming features of FPGAs compared to fixed-function ASICs help in developing better wireless systems.
5G is designed to provide ultra-high speed, low latency, and massive device densities. IoT applications, on the other hand, include smart cities and healthcare, to industrial automation. In both cases, real-time data processing and communication are required. It is here that the optimized approach towards networking and computing is needed by both 5G and IoT, which FPGAs can enable. According to the Ericsson Mobility Report, November 2024, in the region comprising India, Nepal, and Bhutan, 5G subscriptions are expected to be above 27 crore by the end of 2024, at 23% of total mobile subscriptions. 5G subscriptions are expected to increase by an impressive 97 crore in 2030, at 74% of all mobile connections. This rapid rollout is expected to drive significant growth in the market.
Market Segmentation
Increasing Adoption of Low-End FPGAs in Consumer Electronics and Wearable Devices
Low-end FPGAs have fewer logic cells than high-end FPGAs, offer fewer I/O options, and consume lower power. As such, they are suitable for applications that do not require heavy computation but still need the opportunity to make hardware changes post-deployment. They are often used in various designs where space, power, and cost drive decision factors. Due to the versatility and affordability factor, FPGAs have seen widespread usage across various sectors, including automotive, consumer electronics, and IoT. In the consumer electronics segment, low-end FPGAs are used in wearables. According to a national survey called Tracking for Health, conducted by Pew Research Center's Internet & American Life Project, about 69% of US adults track at least one health indicator. About 60% of US adults track weight, diet, or an exercise routine, while 33% track other health indicators such as sleep patterns, blood pressure, or headaches. This growing trend of health and fitness tracking is fueling demand for low-end FPGAs in wearable devices.
The global FPGA market is further divided by region, including North America (the US and Canada), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Asia-Pacific is Leading the Global FPGA Market
Asia-Pacific is leading the FPGA market, driven by the rapid adoption of autonomous driving technologies and the growing demand for high-performance, low-latency computing solutions. FPGAs play a critical role in the development and deployment of autonomous driving systems in the automotive industry. Its unique architecture, which combines high-performance parallel processing with reconfigurability, makes it ideal for handling the complex and computationally intensive tasks required for autonomous vehicles. Autonomous vehicles rely on a variety of sensors, including LiDAR, radar, cameras, and ultrasonic sensors, to perceive their surroundings. FPGAs are widely used to process the massive amounts of data generated by these sensors in real time. FPGAs are used to process point cloud data from LiDAR sensors, enabling object detection, distance measurement, and 3D mapping. Its parallel processing capabilities allow for real-time filtering, clustering, and classification of LiDAR data. For instance, Baidu's Apollo self-driving platform leveraged Xilinx's Zynq FPGA system-on-chip for applications such as highway driving and valet parking.
The major companies operating in the global FPGA market include Advanced Micro Devices, Inc., Microchip Technology Inc., Achronix Semiconductor Corporation, Altera Corporation, and Lattice Semiconductor Corporation, among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.
Recent Developments