Field Programmable Gate Array (FPGA) Market - Forecast(2024 - 2030)

Field Programmable Gate Array (FPGA) Market Size is forecast to reach $25980 Million by 2030, at a CAGR of 9% during forecast period 2024-2030. The growing demand for advanced driver-assistance systems (ADAS), the growth of IoT and reduction in time-to-market are the key driving factors for the FPGA market. Owing to benefits such as increasing the performance, early time to market, replacing glue logic, reducing number of PCB spins, and reducing number of parts of PCB, field programmable gate arrays (FPGA’s) are being used in many CPU’s. Industrial networking, industrial motor control, industrial control applications, machine vision, video surveillance make use of different families of FPGA’s.

North America is the leading market for field programmable gate arrays with U.S. leading the charge followed by Europe. North America region is forecast to have highest growth in the next few years due to growing adoption of field programmable gate arrays.

Field Programmable Gate Arrays (FPGAs) are semiconductor devices. The lookup table (LUT) is the basic block in every FPGA. Different FPGAs use variable sized LUTs. A lookup table is logically equivalent to a RAM with the inputs being the address select lines and can have multiple outputs in order to get two Boolean functions of the same inputs thus doubling the number of configuration bits. FPGAs can be reprogrammed to desired application or functionality requirements after manufacturing. This differentiates FPGAs from Application Specific Integrated Circuits (ASICs) although they help in ASIC designing itself, which are custom manufactured for specific design tasks. 

 

In a single integrated circuit (IC) chip of FPGA, millions of logic gates can be incorporated. Hence, a single FPGA can replace thousands of discrete components. FPGAs are an ideal fit for many different markets due to their programmability. Ever-changing technology combined with introduction of new product portfolio is the major drivers for this industry.

FPGA applications are found in Industrial, Medical, Scientific Instruments, security systems, Video & Image Processing, Wired Communications, Wireless Communications, Aerospace and Defense, Medical Electronics, Audio, Automotive, Broadcast, Consumer Electronics, Distributed Monetary Systems, Data and Computer Centers and many more verticals.

 

Particularly in the fields of computer hardware emulation, integrating multiple SPLDs, voice recognition, cryptography, filtering and communication encoding,  digital signal processing, bioinformatics, device controllers, software-defined radio, random logic, ASIC prototyping, medical imaging, or any other electronic processing FGPAs are implied because of their capability of being programmable according to requirement. FPGAs have gained popularity over the past decade because they are useful for a wide range of applications.

 

FPGAs are implied for those applications in particular where the production volume is small. For low-volume applications, the leading companies pay hardware costs per unit. The new performance dynamics and cost have extended the range of viable applications these days.

 

• FPGA As Cloud Server: IoT devices usually have limited processing power, memory size and bandwidth. The developers offer interfaces through compilers, tools, and frameworks. This creates effectiveness for the customer base and creates strong cloud products with increased efficiency which also included new machine learning techniques, Artificial Intelligence and big data analysis all in one platform. Web Service Companies are working to offer FPGAs in Elastic Compute Cloud (EC2) cloud environment. 
• Artificial Intelligence: As an order of higher magnitude performance per Watt than commercial FPGAs and (Graphical Processing Unit) GPUs in SOC search giant offers TPUs (Google’s Tensor Processing Units). AI demands for higher performance, less time, larger computation with more power proficient for deep neural networks. Deep neural network power-up the high-end devices. Google revealed that the accelerators (FGPAs) were used for the Alpha GO systems which is a computer developed by Google DeepMind that plays the board game Go.  CEA also offers an ultra-low power programmable accelerator called P-Neuro.
• Photonic Networks for Hardware Accelerators: Hardware Accelerators normally need high bandwidth, low latency, and energy efficiency. The high performance computing system has critical performance which is shifted from the microprocessors to the communications infrastructure. Optical interconnects are able to address the bandwidth scalability challenges of future computing systems, by exploiting the parallel nature and capacity of wavelength division multiplexing (WDM). The multi-casted network uniquely exploits the parallelism of WDM to serve as an initial validation for architecture. Two FPGA boarded systems emulate the CPU and hardware accelerator nodes. Here FPGA transceivers implement and follow a phase-encoder header network protocol. The output of each port is individually controlled using a bitwise XNOR of port’s control signal. Optical packets are send through the network and execute switch and multicasting of two receive nodes with most reduced error
• Low Power and High Data Rate FPGA: “Microsemi” FPGAs provides a non-volatile FPGA having 12.7 GB/s transceiver and lower poor consumption less than 90mW at 10 GB/s. It manufactured using a 28nm silicon-oxide-nitride-oxide-silicon nonvolatile process on standard CMOS technology. By this they address cyber security threats and deep submicron single event upsets in configuration memory on SRAM-based FPGA. These transceivers use cynical I/O gearing logic for DDR memory and LVDS. Cryptography research provides differential power analysis protection technology, an integrated physical unclonable function and 56 kilobyte of secure embedded non-volatile memory, the built-in tamper detectors parts and counter measures.
• Speeds up FPGA-in-the-loop verification: HDL Verifier is used to speed up FPGA-in-the-loop (FIL) verification. Faster communication between the FPGA board and higher clock frequency is stimulated by the FIL capabilities. This would increase the complexity of signal processing, control system algorithms and vision processing. For validation of the design in the system context simulate hardware implementation on an FPGA board. HDL Verifier automates the setup and connection of MATLAB and Simulink test environments to designs running on FPGA development boards. The R2016b has been released that allows engineers to specify a custom frequency for their FPGA system clock with clock rates up to five times faster than previously possible with FIL. This improves faster run-time. From MATLAB and Simulink is an easy way to validate hardware design within the algorithm development environment
• Xilinx Unveils Revolutionary Adaptable Computing Product Category: Xilinx, Inc. which is leader in FGPAs, has recently announced a new product category which is named as Adaptive Compute Acceleration Platform (ACAP) and has the capabilities far beyond of an FPGA. An ACAP is a highly integrated multi-core heterogeneous compute platform that can be changed at the hardware level to adapt to the needs of a wide range of applications and workloads. ACAP has the capability of dynamic adaption during operation which enables it to deliver higher performance per-watt levels that is unmatched by CPUs or GPUs.
• Lattice Releases Next-Generation FPGA Software for Development of Broad Market Low Power Embedded Applications: Lattice Semiconductor, launched its FPGA software recently. Lattice Radiant targeted for the development of broad market low power embedded applications. Device’s application expands significantly across various market segments including mobile, consumer, industrial, and automotive due to is rich set of features and ease-of-use, Lattice Radiant software’s support for iCE40 Ultra plus FPGAs. ICE40 Ultra Plus devices are the world’s smallest FPGAs with enhanced memory and DSPs to enable always on, distributed processing. The Lattice Radiant software is available for free download.

 

The companies referred in the market research report include Intel Inc, Microsemi, Lattice Semiconductor, Xilinx, Atmel, Quick Logic Corp., Red Pitaya, Mercury Computer, Nallatech Inc., Achronix Semiconductor Corporation, Acromag Inc., Actel Corp., Altera Corp.

The report incorporates in-depth assessment of the competitive landscape, product market sizing, product benchmarking, market trends, product developments, financial analysis, strategic analysis and so on to gauge the impact forces and potential opportunities of the market. Apart from this the report also includes a study of major developments in the market such as product launches, agreements, acquisitions, collaborations, mergers and so on to comprehend the prevailing market dynamics at present and its impact during the forecast period 2017-2023.

 

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