The global FPGA market size is projected to expand at a CAGR of 7.6% reaching US$ 15,023.5 million by 2033 from US$ 7,243.6 million in 2023. The growing adoption of FPGAs in areas such as cybersecurity, data networks, and DPI is expected to drive market growth during the forecast period. As FPGAs become more prevalent in the military and aerospace industry, their use in areas like image processing, waveform generation, and data encryption is likely to drive market growth.
The proliferation of smartphone technology and electronic chips in automobiles is expected to boost the prospects of FPGA products on the market in the coming decade.
The market for field-programmable gate arrays is expanding rapidly across a wide range of industries since the devices can be easily reprogrammed in the field, allowing for instant prototyping and debugging of many different applications. To design specialized integrated circuits, field-programmable gate arrays are employed. Programming and configuring field-programmable gate arrays is done with the help of Hardware Description Languages (HDL), such as VHDL (VHSIC Hardware Description Language) or Verilog. The FPGA is widely used in financial markets to conduct real-time trades, risk analysis, and many more.
During the latter part of 2021, the demand for FPGA components increased due to the rise of manufacturing activity and on account of the increase in the adoption of telecommunications, automotive products data centers, and electronic devices. In addition, many companies are consequently focusing their efforts on setting up factories in new geographical regions to reduce the risk associated with supply chain disruptions during crisis periods.
Drivers:
Restraints:
Investment Opportunities:
Trends Shaping the Future of FPGA Technology
| Attributes | Details |
|---|---|
| FPGA Market CAGR (2023 to 2033) | 7.6% |
| Estimated Market Size (2023) | US$ 7,243.6 million |
| FPGA Market Forecast Size (2033) | US$ 15,023.5 million |
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| Attributes | Details |
|---|---|
| 2018 (US$ million) | 5,209.1 million |
| 2022 (US$ million) | 6,735.6 million |
| CAGR (2018 to 2022) | 6.6% |
Due to the introduction of new products with different features at a low cost, the field-programmable gate array market has seen significant growth due to the unforeseen scope of this technology in various industries. Increasing smartphone use and the proliferation of electronic content in cars drive market growth for field-programmable gate arrays. In addition, embedded computing has widely implemented field-programmable gate arrays for building complex, mission-critical systems.
To run highly optimized autonomous operations, data centers are an absolute necessity for the adoption of IoT. Several FPGAs are now found in data centers, employed for offloading and accelerating specific services. In addition, an FPGA is used to offload computing workloads from the CPU to improve performance, reduce response time, and reduce energy consumption in 5G applications, high-performance computing, and ADAS.
Their handling of hardware acceleration and FPGAs have been proven to be useful for HPC applications. As IoT is increasingly used in different verticals, the demand for data centers is forecast to rise substantially, improving the performance of data centers through the use of FPGAs.
FPGA market growth is driven by increasing network traffic and the need to process large amounts of data across data centers. Investing in the establishment of new data centers by various software providers is likely to open more market opportunities for FPGA in the market. FPGAs can enhance the performance of military equipment like radars, sensors, and combat systems by enhancing their range, performance, and defense capability without affecting their overall quality. The development of field-programmable gate arrays for military applications is a constant innovation since more countries are focusing on improving their military establishments.
The rapid growth of the FPGA industry has been attributed to the increased use of FPGAs by cloud customers as a resource under Infrastructure-as-a-Service. FPGAs are expected to grow rapidly in response to a growing demand for customizable integration. Due to the rising complexity and expensive price of application-specific integrated circuits, FPGAs are likely to gain more popularity in the market shortly. Hence, FPGAs are predicted to gain more popularity in the coming years.
In contrast to this, the power consumption is higher for field-programmable gate arrays, and there is no standard for the verification technique for the industry, which inhibits the growth of the technology. Because of a critical flaw in the hardware of FPGAs, they are vulnerable to security attacks allowing hackers to gain complete control over chips. This is likely to therefore decline the market growth of FPGAs in the market.
FPGAs are also expensive to implement and maintain, which is a factor limiting their growth in the market. With a rise in demand for highly skilled professionals who can write VHDL or Verilog code and possess fundamental knowledge of digital systems, FPGA market sales have declined. The extremely fast I/O rates of FPGA designs and the bidirectional data buses make it challenging to verify the validity of valid data in a reasonable amount of time.
Programmers are required to use the resources available in the FPGA IC once they select and use the FPGA IC in their design. This is likely to limit the size and number of features of the design. Choosing an appropriate FPGA at the beginning of a project can mitigate this problem. As FPGAs are manufactured in greater quantities, the cost per unit also increases. In contrast, ASIC implementation has a lower cost per unit. This is likely to result in a decrease in the demand for FPGA in the market.
Principal Consultant
With a CAGR of 7.5%, SRAM is expected to dominate the technology segment of the global FPGA industry over the next few years. The most common way to program. FPGAs are using SRAM, which allows for easier reconfiguration and is, in many ways, the most reliable way to program FPGAs. Compared to DRAM, SRAM performs better in terms of speed and space. As a result, it is faster to operate. Consequently, it is faster to access information or data when compared to DRAM. As a result, there is a significant increase in demand for SRAM in the FPGA industry.
As a technology, SRAM is used to design speed-sensitive caches in an environment where it consumes medium power consumption during operation. As a result, this technology is highly sought after by the market. The CMOS fabrication process is used to develop SRAM-based FPGAs, which allow the device to be developed with higher power efficiency and more logic density, in comparison to other technologies. Hence this is leading to the growth of SRAM in the FPGA industry. As a consequence, presently, more and more SRAM FPGAs are being used in harsh radiation environments. Thus, an upsurge in sales of SRAM is expected to drive the FPGA market.
Besides being widely used in wireless communications and telecom systems, the market for SRAM-based FPGAs is also seeing growth in consumer goods applications, such as military & aerospace applications. Although FPGAs based on SRAM are highly volatile, they cannot store information without a separate power supply. To overcome this challenge, leading companies are developing advanced SRAM chip designs to optimize FPGA-based devices for the market.
Low-End holds the largest market share in the FPGA segment. High energy efficiency, low-logic density, and ease of use are some of the key attributes that help the low-end FPGA segment grow in the market. The Low-End segment is expected to grow at a CAGR of 7.5% during the forecast period. Low-end FPGAs are extremely energy efficient and provide a large range of functionalities at a minimal cost.
To strengthen their low-end FPGA product portfolios, FPGA manufacturers are investing in organic growth strategies. The software also provides the client with design security as well as protection from tampering, theft, and counterfeiting. In addition to video and image processing, car audio and consumer electronics, industrial, military, displays, and wireless applications use low-end FPGAs. As a result, low-end FPGAs are experiencing growth in the market.
An increasing number of manufacturers in these areas are projected to cause low-end FPGAs to grow significantly. Furthermore, producers are striving to develop products with higher levels of performance and lower power consumption to meet customers' needs. All of these factors are projected to boost market growth for low-end FPGAs in the market.
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| 2022 Value Share in Global Market | CAGR (2023 to 2033) |
|---|---|
| United States | 24.8% |
| Japan | 5.3% |
| China | 8.2% |
| India | 13.1% |
| United Kingdom | 9.1% |
The United States accounted for the highest value share in the global market in 2022 at 24.8%. This is due to government initiatives to support electronic and semiconductor manufacturing firms in the market. It is evident that the growing number of technologically advanced companies, as well as the telecommunication and military industries in these countries, are propelling the market demand for FPGA in United States markets.
Asia Pacific is projected to dominate the FPGA market during the forecast period. As a result of ongoing investments and measures taken by the Chinese government to boost industry growth, China captured an 8.2% value share in the global market in 2022.
India's value share in the global market in 2022 reached 13.1%. Growing Internet penetration, advancing technology, the proliferation of mobile devices including 4G and 5G, and increasing numbers of consumers using technologically advanced and connected devices have all contributed to the growth of this market in this region. Increasing industrial automation in the region is also driving the demand for FPGAs in China.
Over the forecast period, Japan is projected to achieve a CAGR of 5.7% in 2033. A rise in both industrial production and consumption is expected to boost the market value of the South Korean region by 5% CAGR in the upcoming years. Technological companies, on the other hand, are shifting their data centers from onsite to cloud-based equipment, which is expected to spur significant growth prospects for the regional demand for FPGAs.
The United Kingdom accounted for a 9.1% value share in the global market in 2022. During the forecast period, the FPGA market in the United Kingdom is expected to grow at a compound annual growth rate of 6.3%. FPGAs are expected to see a high degree of growth in the United Kingdom due to the emergence of IoT and Machine-to-Machine technologies. This is likely to contribute to the growth of the FPGA market in the United Kingdom. The increasing presence of electronic devices and automotive industry manufacturers in this region has brought a boost to the demand for FPGAs.
Through strategic partnerships, manufacturers can increase production and meet consumer demand, increasing both their revenues and market share. The introduction of new products and technologies is likely to allow end-users to reap the benefits of new technologies. Increasing the company's production capacity is one of the potential benefits of a strategic partnership.
Recent Developments in the FPGA Industry:
The primary consumer for FPGAs is the telecommunications industry.
Some of the key players in the FPGA market include Intel, Xilinx, and Microsemi.
The market is estimated to secure a valuation of US$ 7,243.6 million in 2023.
The market is estimated to reach US$ 15,023.5 million by 2033.
The aerospace and defense sector holds high revenue potential in the FPGA Market.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Product Life Cycle Analysis
3.5. Supply Chain Analysis
3.5.1. Supply Side Participants and their Roles
3.5.1.1. Producers
3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers)
3.5.1.3. Wholesalers and Distributors
3.5.2. Value Added and Value Created at Node in the Supply Chain
3.5.3. List of Raw Material Suppliers
3.5.4. List of Existing and Potential Buyer’s
3.6. Investment Feasibility Matrix
3.7. Value Chain Analysis
3.7.1. Profit Margin Analysis
3.7.2. Wholesalers and Distributors
3.7.3. Retailers
3.8. PESTLE and Porter’s Analysis
3.9. Regulatory Landscape
3.9.1. By Key Regions
3.9.2. By Key Countries
3.10. Regional Parent Market Outlook
3.11. Production and Consumption Statistics
3.12. Import and Export Statistics
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) & Volume (Units) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) & Volume (Units) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Configuration
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Configuration, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Configuration, 2023 to 2033
5.3.1. Low-End FPGA
5.3.2. Mid-Range FPGA
5.3.3. High-End FPGA
5.4. Y-o-Y Growth Trend Analysis By Configuration, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Configuration, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Node Size
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Node Size, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Node Size, 2023 to 2033
6.3.1. ≤16 NM
6.3.2. 22/28-90 NM
6.3.3. >90 NM
6.4. Y-o-Y Growth Trend Analysis By Node Size, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Node Size, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Technology, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Technology, 2023 to 2033
7.3.1. SRAM
7.3.2. Flash
7.3.3. Antifuse
7.4. Y-o-Y Growth Trend Analysis By Technology, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Technology, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Vertical, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Vertical, 2023 to 2033
8.3.1. Telecommunications
8.3.1.1. Wired Communication
8.3.1.2. Optical Transport Network (OTN)
8.3.1.3. Backhaul and Access Network
8.3.1.4. Network Processing
8.3.1.5. Wired Connectivity
8.3.1.6. Packet-based Processing and Switching
8.3.1.7. Wireless Communication
8.3.1.8. Wireless Baseband Solutions
8.3.1.9. Wireless Backhaul Solutions
8.3.1.10. Radio Solutions
8.3.2. Data Centers & Computing
8.3.2.1. Storage Interface Controls
8.3.2.2. Network Interface Controls
8.3.2.3. Hardware Acceleration
8.3.2.4. High-Performance Computing
8.3.3. Military & Aerospace
8.3.3.1. Avionics
8.3.3.2. Missiles and Munition
8.3.3.3. Radars and Sensors
8.3.3.4. Others
8.3.4. Industrial
8.3.4.1. Video Surveillance Systems
8.3.4.2. Machine Vision Solutions
8.3.4.3. Industrial Networking Solutions
8.3.4.4. Industrial Motor Control Solutions
8.3.4.5. Robotics
8.3.5. Automotive
8.3.5.1. ADAS
8.3.5.2. Automotive Infotainment and Driver Information
8.3.5.3. Sensor Fusion
8.3.6. Healthcare
8.3.6.1. Imaging Diagnostic Systems
8.3.6.2. Wearable Devices
8.3.6.3. Others
8.3.7. Multimedia
8.3.7.1. Audio Devices
8.3.7.2. Video Processing
8.3.8. Broadcasting
8.3.8.1. Broadcast Platform Systems
8.3.8.2. High-End Broadcast Systems
8.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Europe
9.3.4. Asia Pacific
9.3.5. MEA
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. U.S.
10.2.1.2. Canada
10.2.2. By Configuration
10.2.3. By Node Size
10.2.4. By Technology
10.2.5. By Vertical
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Configuration
10.3.3. By Node Size
10.3.4. By Technology
10.3.5. By Vertical
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Configuration
11.2.3. By Node Size
11.2.4. By Technology
11.2.5. By Vertical
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Configuration
11.3.3. By Node Size
11.3.4. By Technology
11.3.5. By Vertical
11.4. Key Takeaways
12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. U.K.
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Europe
12.2.2. By Configuration
12.2.3. By Node Size
12.2.4. By Technology
12.2.5. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Configuration
12.3.3. By Node Size
12.3.4. By Technology
12.3.5. By Vertical
12.4. Key Takeaways
13. Asia Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.1.4. Singapore
13.2.1.5. Thailand
13.2.1.6. Indonesia
13.2.1.7. Australia
13.2.1.8. New Zealand
13.2.1.9. Rest of Asia Pacific
13.2.2. By Configuration
13.2.3. By Node Size
13.2.4. By Technology
13.2.5. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Configuration
13.3.3. By Node Size
13.3.4. By Technology
13.3.5. By Vertical
13.4. Key Takeaways
14. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Configuration
14.2.3. By Node Size
14.2.4. By Technology
14.2.5. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Configuration
14.3.3. By Node Size
14.3.4. By Technology
14.3.5. By Vertical
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. U.S.
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Configuration
15.1.2.2. By Node Size
15.1.2.3. By Technology
15.1.2.4. By Vertical
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Configuration
15.2.2.2. By Node Size
15.2.2.3. By Technology
15.2.2.4. By Vertical
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Configuration
15.3.2.2. By Node Size
15.3.2.3. By Technology
15.3.2.4. By Vertical
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Configuration
15.4.2.2. By Node Size
15.4.2.3. By Technology
15.4.2.4. By Vertical
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Configuration
15.5.2.2. By Node Size
15.5.2.3. By Technology
15.5.2.4. By Vertical
15.6. U.K.
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Configuration
15.6.2.2. By Node Size
15.6.2.3. By Technology
15.6.2.4. By Vertical
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Configuration
15.7.2.2. By Node Size
15.7.2.3. By Technology
15.7.2.4. By Vertical
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Configuration
15.8.2.2. By Node Size
15.8.2.3. By Technology
15.8.2.4. By Vertical
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Configuration
15.9.2.2. By Node Size
15.9.2.3. By Technology
15.9.2.4. By Vertical
15.10. China
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Configuration
15.10.2.2. By Node Size
15.10.2.3. By Technology
15.10.2.4. By Vertical
15.11. Japan
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Configuration
15.11.2.2. By Node Size
15.11.2.3. By Technology
15.11.2.4. By Vertical
15.12. South Korea
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Configuration
15.12.2.2. By Node Size
15.12.2.3. By Technology
15.12.2.4. By Vertical
15.13. Singapore
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Configuration
15.13.2.2. By Node Size
15.13.2.3. By Technology
15.13.2.4. By Vertical
15.14. Thailand
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Configuration
15.14.2.2. By Node Size
15.14.2.3. By Technology
15.14.2.4. By Vertical
15.15. Indonesia
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Configuration
15.15.2.2. By Node Size
15.15.2.3. By Technology
15.15.2.4. By Vertical
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Configuration
15.16.2.2. By Node Size
15.16.2.3. By Technology
15.16.2.4. By Vertical
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Configuration
15.17.2.2. By Node Size
15.17.2.3. By Technology
15.17.2.4. By Vertical
15.18. GCC Countries
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By Configuration
15.18.2.2. By Node Size
15.18.2.3. By Technology
15.18.2.4. By Vertical
15.19. South Africa
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By Configuration
15.19.2.2. By Node Size
15.19.2.3. By Technology
15.19.2.4. By Vertical
15.20. Israel
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By Configuration
15.20.2.2. By Node Size
15.20.2.3. By Technology
15.20.2.4. By Vertical
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Configuration
16.3.3. By Node Size
16.3.4. By Technology
16.3.5. By Vertical
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. XILINX INC.
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.1.5.2. Product Strategy
17.1.1.5.3. Channel Strategy
17.1.2. Microsemi Corporation
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.2.5.2. Product Strategy
17.1.2.5.3. Channel Strategy
17.1.3. Achronix
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.3.5.2. Product Strategy
17.1.3.5.3. Channel Strategy
17.1.4. e2v
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.4.5.2. Product Strategy
17.1.4.5.3. Channel Strategy
17.1.5. INTEL CORPORATION
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.5.5.2. Product Strategy
17.1.5.5.3. Channel Strategy
17.1.6. MICROCHIP TECHNOLOGIES INC.
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.6.5.2. Product Strategy
17.1.6.5.3. Channel Strategy
17.1.7. Lattice Semiconductor Corporation
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.7.5.2. Product Strategy
17.1.7.5.3. Channel Strategy
17.1.8. Atmel
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.8.5.2. Product Strategy
17.1.8.5.3. Channel Strategy
17.1.9. Nallatech
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.9.5.2. Product Strategy
17.1.9.5.3. Channel Strategy
17.1.10. QuickLogic Corporation
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
17.1.10.5.2. Product Strategy
17.1.10.5.3. Channel Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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