The FPGA market was valued at USD 12.1 billion in 2024 and is estimated to reach USD 25.8 billion by 2029, registering a CAGR of 16.4% during the forecast period.
The growth of the FPGA market is
driven by the widespread incorporation of Artificial Intelligence (AI) and
Internet of Things (IoT) technologies across diverse applications, the rising
quantity of data centers and facilities dedicated to high-performance computing
(HPC), and field-programmable gate arrays (FPGAs) exhibit superior efficiency
in comparison to application-specific integrated circuits (ASICs).
Drivers: Increasing adoption of
artificial intelligence (AI) and Internet of Things (IoT) technologies in
various applications
The widespread adoption of Artificial
Intelligence (AI) and the Internet of Things (IoT) across diverse industries
has transformed applications involving intricate motor control and vision
processing. These tasks demand advanced computing capabilities and real-time,
deterministic system behavior, leading to a global surge in the adoption of
Field-Programmable Gate Arrays (FPGAs) due to their inherent hard-deterministic
features. The convergence of AI and IoT has driven the development of
innovative business models, fostering significant technological advancements in
the FPGA domain. FPGAs play a pivotal role in driving innovations, from
intelligent buildings and connected vehicles to smart power grids and urban
infrastructure. The Mobile Economy 2023 report by the GSM Association predicts
a doubling of licensed cellular IoT connections to 5.3 billion by 2030, with
Greater China contributing two-thirds of this total. This exponential growth in
global IoT penetration is expected to fuel the expansion of the FPGA market.
Key industry players, including Xilinx, Inc. (Advanced Micro Devices, Inc.)
(US), Intel Corporation (US), and Lattice Semiconductor Corporation (US), are
expanding their FPGA offerings in the AI and IoT space, incorporating both
hardware and software programmability.
Restraint: Security concerns
associated with FPGAs.
Side-channel attacks (SCAs) represent
a unique class of threats exploiting physical characteristics in cryptographic
devices, including FPGAs, to extract sensitive information. Unlike traditional
cryptographic attacks, SCAs focus on the physical implementation of algorithms,
utilizing variations in power consumption, electromagnetic radiation (EMR), and
timing. FPGAs, in particular, are susceptible to SCAs due to inherent physical
phenomena that are challenging to control. Two main types of SCAs include simple
side-channel analysis (SSCA) and more effective differential side-channel
analysis (DSCA). Mitigation strategies for FPGAs involve masking, shielding,
randomization, secure design practices, and continuous monitoring, although
these measures cannot eliminate the evolving threat of SCAs. Ongoing research
is essential to develop new countermeasures for enhanced FPGA protection.
Opportunities: Surging deployment of
5G communication infrastructure
The evolution of 5G network
infrastructures presents a substantial avenue for growth in the FPGA market.
The introduction of 5G New Radio (NR) as the new air interface for 5G networks
is reshaping the landscape. Current 5G architectures incorporate NR radio heads
in base stations, featuring massive multiple-input, multiple-output (MIMO)
antennas employing multiple transmitters and receivers for swift data transfer.
This robust infrastructure caters to diverse access and connectivity scenarios,
including enhanced mobile broadband (EMBB), massive machine-type communications
(mMIC), and ultra-reliable low-latency communications (URLLC). To meet the
varied demands of 5G network workloads, there is a growing inclination towards
FPGA technology in the development of next-generation wireless infrastructure.
This trend signifies a compelling opportunity for market players in the FPGA
domain.
Challenge: Lack of improved and
standardized verification techniques
The lack of standardization in the
FPGA market poses several challenges for both FPGA designers and users.
Designers must contend with the intricacies of multiple FPGA architectures and
toolchains, leading to increased design time and complexity. Additionally, the
lack of standardization limits the portability of FPGA designs, making it
difficult to reuse and repurpose designs across different FPGA platforms. The
rapid pace of FPGA technology advancements further exacerbates this lack of
standardization. As FPGA vendors introduce new architectures and features,
designers must adapt their design methodologies and tools accordingly. This
continuous evolution can hinder the adoption of new FPGA technologies, as
designers may be reluctant to invest in training and tool updates.
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