Embedded Systems Market

Embedded Systems Market Latest Trends

The Embedded Systems Market is moving rapidly toward edge intelligence, software-defined functionality, heterogeneous processing, integrated connectivity, and stronger device security. Real-time embedded systems are expected to represent 33% of the global market in the referenced forecast, illustrating the importance of predictable processing in automotive control, industrial automation, medical equipment, aerospace electronics, and connected infrastructure. Processors are increasingly combining general-purpose CPU cores with neural processing units, digital signal processing, security engines, and specialized accelerators. This architecture enables image recognition, anomaly detection, speech processing, sensor fusion, predictive maintenance, and local decision-making without constant cloud communication.

Edge AI is becoming one of the most important design directions. Microcontroller suppliers are adding machine-learning acceleration while maintaining the power budgets required for battery-powered and industrial devices. Automotive platforms are evolving toward centralized computing, reducing the number of isolated electronic control modules and allowing software to coordinate vehicle functions across common processing domains.

RISC-V adoption is also expanding as suppliers seek flexible processor architectures and greater customization. At the same time, Arm-based microcontrollers continue to maintain broad developer support across industrial and consumer designs. Security is becoming a standard architectural requirement rather than an optional software layer, with secure execution environments, hardware roots of trust, encrypted communication, and protected firmware updates increasingly integrated into embedded platforms. Development environments are also changing as vendors combine hardware, middleware, AI libraries, reference designs, and cloud-connected toolchains to shorten product design cycles.

Embedded Systems Market Dynamics

The Embedded Systems Market is influenced by automation, connected-device penetration, intelligent transportation, medical electronics, industrial digitalization, and increasing demand for local data processing. Manufacturers are redesigning computing architectures to handle larger sensor workloads while controlling power consumption and response latency. Automotive systems require processors for safety functions, digital cockpits, powertrain control, battery management, connectivity, and advanced driver assistance. Industrial users need embedded controllers capable of real-time equipment monitoring, motion control, machine vision, robotics, and predictive maintenance. Healthcare equipment increasingly incorporates embedded computing for patient monitoring, imaging, diagnostics, portable instrumentation, and connected care devices. At the same time, telecommunications and smart infrastructure deployments are expanding requirements for secure networked controllers. Market development is therefore shaped by the balance between processing performance, software complexity, cybersecurity, component availability, power efficiency, certification requirements, and total system integration.

Drivers of Market Growth

Increasing integration of intelligent connected devices and edge computing.

Connected equipment is generating stronger demand for processors capable of collecting, processing, and responding to information directly at the device level. Real-time embedded systems accounted for a 37.1% share within the referenced functionality analysis, demonstrating the importance of low-latency processing in control-intensive applications. Industrial machinery uses embedded intelligence to coordinate motors, sensors, robotics, machine vision, and safety functions without routing every decision through remote infrastructure. Vehicles require local processing because braking, steering, power management, driver assistance, and safety functions cannot depend on continuous external connectivity.

Edge computing also supports privacy by keeping sensitive operational information within the device. Medical equipment, security systems, factory machinery, and intelligent infrastructure benefit from this local processing model. Semiconductor manufacturers are consequently increasing neural acceleration, signal-processing capacity, memory bandwidth, connectivity, and security functionality within compact devices. The continued expansion of IoT endpoints, autonomous machines, smart appliances, and industrial connected assets therefore remains a central demand driver.

Market Restraints

Increasing design complexity and certification requirements.

Embedded products are becoming harder to engineer as hardware, firmware, networking, cybersecurity, artificial intelligence, and functional safety requirements converge within the same system. Development teams must coordinate processor architecture, memory allocation, thermal behavior, operating systems, device drivers, communication protocols, security features, and application software. This complexity increases validation work and makes debugging difficult when faults involve interactions between hardware and software.

Long product qualification cycles can restrict adoption in automotive, aerospace, healthcare, and industrial applications where reliability requirements are strict. Hardware changes may require software revalidation, while processor substitutions can require board redesign and compatibility testing. The embedded ecosystem also depends on engineers with expertise in low-level programming, electronic design, real-time systems, safety engineering, networking, and security. Research covering the industry identifies skilled-workforce limitations and regulatory compliance as material constraints. These factors can slow deployment even when end-market demand remains strong.

Market Opportunities

Expansion of AI processing directly on embedded devices.

Edge AI is creating new product opportunities because inference can increasingly be performed within microcontrollers and application processors rather than depending exclusively on cloud systems. Small-scale embedded systems held a 46.63% market share in the referenced system-size analysis, providing a large installed base for intelligent low-power processing. Manufacturers are introducing dedicated neural accelerators capable of supporting computer vision, sound classification, gesture recognition, equipment monitoring, and anomaly detection within compact devices.

This approach can reduce communication latency and bandwidth requirements while improving privacy and resilience. Industrial cameras can classify defects locally, medical devices can process physiological signals directly, and appliances can adapt functions using sensor data. Automotive systems can perform real-time perception and sensor fusion using specialized embedded processors. Opportunities are also expanding in robotics, smart buildings, energy management, wearables, agricultural equipment, and intelligent infrastructure. Suppliers that combine processing hardware with optimized AI software and developer tools can reduce implementation barriers for equipment manufacturers.

Market Challenges

Maintaining cybersecurity across long embedded product life cycles.

Embedded devices are increasingly connected to wireless networks, industrial systems, vehicle networks, enterprise platforms, and cloud services, increasing the potential attack surface. Many products remain operational for long periods, creating security obligations well beyond initial deployment. Manufacturers must support vulnerability remediation, firmware updates, secure identity, protected key storage, encrypted communication, and trusted boot processes throughout the equipment life cycle.

Security becomes particularly complex when products incorporate third-party operating systems, middleware, open-source libraries, wireless stacks, and multiple semiconductor components. Industrial and infrastructure equipment can also be difficult to update because operational downtime must be minimized. Attackers may exploit unsupported software, exposed interfaces, weak credentials, or compromised supply-chain components. The Embedded Systems Market therefore faces an engineering challenge that extends beyond processor performance. Vendors must provide secure hardware foundations while equipment manufacturers establish update policies and lifecycle governance capable of protecting devices after deployment.

Embedded Systems SWOT Analysis

Strengths

• Embedded systems provide deterministic control for applications where predictable response behavior is essential.

• Dedicated architectures can deliver strong power efficiency because computing resources are optimized for defined workloads.

• Broad deployment across automotive, industrial, medical, telecom, consumer, aerospace, and infrastructure applications diversifies end-use demand.

• Mature microcontroller ecosystems provide extensive software libraries, development boards, debugging tools, operating systems, and reference designs.

• Local processing reduces dependence on continuous network connectivity and supports low-latency decision-making.

Weaknesses

• Embedded software can be difficult to migrate between processor families because peripherals, drivers, toolchains, and hardware interfaces differ.

• Long qualification cycles can delay processor replacement in safety-critical equipment.

• Limited memory and thermal budgets constrain sophisticated workloads in compact devices.

• Hardware redesigns frequently require extensive firmware validation and system-level testing.

• Dependence on specialized engineering skills can increase development complexity for smaller equipment manufacturers.

Opportunities

• Edge artificial intelligence enables embedded devices to perform vision, voice, analytics, and predictive functions locally.

• Software-defined vehicles create demand for centralized processors, secure networking, and updateable embedded architectures.

• Industrial automation increases requirements for intelligent controllers, robotics, machine vision, and predictive-maintenance systems.

• Smart infrastructure expands adoption in transportation, utilities, buildings, public safety, and environmental monitoring.

• Open processor architectures create opportunities for differentiated custom computing platforms.

Threats

• Cybersecurity vulnerabilities can create operational and safety risks in connected embedded devices.

• Semiconductor supply disruptions can delay equipment manufacturing and force costly redesigns.

• Rapid processor evolution can shorten the commercial life of specific hardware platforms.

• Trade restrictions and technology controls can affect sourcing choices and geographic supply chains.

• Proprietary software ecosystems may create compatibility limitations and switching costs for equipment manufacturers.

Embedded Systems Segmentation Analysis

Embedded Systems Market segmentation reflects differences in computing architecture, deployment scale, hardware content, and application requirements. The core segmentation includes components, system type, system size, and application. Hardware and software perform complementary functions, while standalone, real-time, network, and mobile systems address different operating environments. Small-scale systems support compact dedicated products, whereas larger systems handle complex data processing and multi-function workloads. Application segmentation demonstrates the broad role of embedded computing in automotive systems, consumer electronics, factory automation, healthcare equipment, telecommunications, aerospace platforms, defense systems, and smart devices. Market-share leadership differs by category because computing requirements vary significantly between applications. Automotive and industrial systems emphasize reliability and deterministic control, while consumer products prioritize integration, power efficiency, connectivity, user interfaces, and rapid product development. These segmentation patterns allow suppliers to tailor processor architectures, memory configurations, software stacks, interfaces, and development ecosystems to specific customer requirements.

By Component

Hardware remains the foundation of the Embedded Systems Market because every embedded platform requires processors, memory, interfaces, sensors, power components, and supporting electronics. Hardware held 51.5% market share in the referenced global component assessment. Microprocessors are used when applications require operating systems, complex interfaces, multimedia capability, or substantial computing performance. Microcontrollers integrate processing cores, memory, timers, communications interfaces, and control peripherals for dedicated functions. FPGA devices support configurable logic and hardware acceleration, while memory provides program storage and runtime data capacity.

Software includes firmware, drivers, middleware, development tools, operating environments, and embedded applications. Its strategic importance is increasing as products become updateable and software-defined. Hardware differentiation increasingly depends on software support because engineers evaluate compiler quality, libraries, operating-system compatibility, security frameworks, debugging capabilities, and long-term maintenance before selecting processors. The strongest suppliers consequently compete through integrated hardware-software ecosystems rather than individual chips.

By Type

Standalone embedded systems perform dedicated tasks without requiring continuous dependence on other computing platforms. This design remains common in appliances, industrial controls, instrumentation, electronics, and specialized equipment. Standalone systems held 37.82% market share in the referenced functional segmentation. Their appeal comes from predictable behavior, independent operation, controlled power consumption, and suitability for fixed-function applications.

Real-time embedded systems prioritize deterministic response and are essential where timing directly affects system performance or safety. Automotive control, industrial motion systems, medical equipment, robotics, and aerospace platforms frequently depend on real-time processing. Network embedded systems add wired or wireless communication, allowing equipment to exchange data with other machines, gateways, enterprise platforms, and cloud services. Mobile embedded systems are optimized for portable devices where size, battery life, user interaction, connectivity, and energy-efficient processing are critical. Increasing convergence means many modern products combine characteristics of multiple categories, particularly connected real-time devices with local AI processing.

By System Size

Small-scale embedded systems use compact computing architectures optimized for dedicated functions, low component count, controlled power consumption, and cost-sensitive production. They represented 46.63% market share in the referenced system-size analysis. These platforms remain widely used in sensors, appliances, simple controllers, accessories, monitoring devices, and IoT endpoints. Their designs generally prioritize reliable operation and low-power performance over extensive operating-system functionality.

Medium-scale embedded systems support greater processing complexity, larger memory, broader peripheral integration, connectivity, and richer software. They are deployed in industrial equipment, automotive electronics, communications devices, healthcare platforms, and advanced consumer electronics. Large-scale embedded systems handle computationally intensive applications requiring powerful processors, extensive software stacks, virtualization, AI acceleration, high-speed networking, or complex safety architectures. They are increasingly relevant in autonomous machines, centralized vehicle computing, advanced robotics, telecommunications infrastructure, aerospace electronics, and intelligent industrial systems. Vendors address these categories through scalable processor families that simplify software reuse.

By Application

Automotive is a major application area because modern vehicles rely on embedded processors for powertrain control, safety, infotainment, connectivity, battery management, body electronics, sensing, and driver assistance. The automotive segment represented 25.47% market share in the referenced application analysis. Consumer electronics use embedded computing in appliances, wearables, entertainment devices, smart-home equipment, personal electronics, and connected accessories.

Industrial automation depends on controllers for robotics, machine vision, motor control, predictive maintenance, process monitoring, and factory communications. Healthcare applications include diagnostic instruments, monitoring devices, imaging platforms, portable equipment, and connected medical technologies. Telecommunications equipment requires processors for networking, signal processing, infrastructure monitoring, and edge computing. Aerospace and defense systems depend on reliable embedded architectures for avionics, communications, navigation, mission systems, and control applications. Smart devices increasingly combine sensing, connectivity, low-power processing, security, and local intelligence, making them an important cross-industry application category.

Regional Analysis

Regional Embedded Systems Market performance reflects differences in semiconductor capability, manufacturing concentration, automotive production, industrial automation, defense activity, consumer electronics manufacturing, and digital-infrastructure investment. Asia-Pacific combines large electronics supply chains with growing automotive and industrial demand, while North America maintains strength in semiconductor design, aerospace, defense, advanced computing, and technology development. Europe benefits from automotive engineering and factory automation. Middle East & Africa remains smaller but is gaining embedded-system demand through telecommunications, smart infrastructure, energy modernization, transportation, and industrial digitalization. Regional sourcing strategies are increasingly influenced by semiconductor localization, supply-chain resilience, cybersecurity requirements, and availability of engineering talent.

• North America: North America remains a major Embedded Systems Market due to its semiconductor ecosystem, industrial automation base, defense sector, medical technology industry, cloud infrastructure, telecommunications equipment, and advanced automotive engineering. The region held 41.82% market share in the referenced global analysis. U.S.-based technology companies play significant roles in processors, analog semiconductors, programmable logic, wireless platforms, embedded software, development tools, and edge computing.

  Automotive demand is shifting toward centralized electronic architectures, software-defined features, advanced driver assistance, connectivity, and vehicle data processing. Industrial customers require embedded controllers for robotics, factory automation, machine vision, logistics equipment, building systems, and energy infrastructure. Aerospace and defense programs create additional demand for ruggedized, secure, deterministic computing platforms.

  The region also leads in edge AI research and commercialization. Semiconductor suppliers are integrating neural acceleration into processors used in industrial equipment, connected devices, security systems, and automotive platforms. Strong developer ecosystems and established engineering software reduce deployment barriers. Local semiconductor investment and supply-chain resilience programs are also influencing sourcing decisions as equipment manufacturers seek stable long-term component availability.

• Europe: Europe maintains a strong Embedded Systems Market through its automotive sector, industrial machinery manufacturers, semiconductor companies, automation specialists, energy equipment suppliers, and aerospace industry. The region accounted for 24.47% of the global market in one referenced regional assessment. Germany is a particularly important hub because vehicle manufacturers, industrial equipment companies, automation suppliers, and semiconductor producers depend heavily on embedded control.

  European automotive engineering creates demand for microcontrollers, radar processing, in-vehicle networking, battery management, safety processors, motor control, and centralized vehicle computers. Industrial automation contributes demand through programmable equipment, robotics, motion control, factory networking, machine monitoring, and intelligent sensors. Medical technology and energy systems provide additional applications where reliability and long equipment life cycles are important.

  Cybersecurity and product safety requirements influence development priorities across the region. Suppliers increasingly emphasize protected firmware, secure communication, trusted execution, and lifecycle software support. Europe is also investing in semiconductor capability and supply resilience. These factors strengthen demand for embedded platforms that combine processing efficiency, connectivity, safety support, security features, and software portability across industrial and mobility applications.

• Asia-Pacific: Asia-Pacific combines semiconductor manufacturing, electronics assembly, consumer-device production, automotive manufacturing, telecommunications equipment, industrial automation, robotics, and smart infrastructure. The region held 34.52% market share in one referenced regional assessment. China, Japan, South Korea, Taiwan, India, and Southeast Asian manufacturing economies contribute to different layers of the embedded technology supply chain.

  Consumer electronics production creates substantial demand for processors, memory, connectivity devices, sensors, power-management components, and embedded software. Automotive manufacturing adds requirements for vehicle controllers, electrification systems, driver assistance, digital cockpits, connectivity, and motor-control electronics. Japanese suppliers retain significant expertise in microcontrollers and automotive semiconductor platforms, while South Korea and Taiwan contribute advanced semiconductor manufacturing and electronics production capability.

  Industrial modernization is also expanding the installed base of embedded computing in robotics, machine tools, factory monitoring, warehouse automation, and connected production equipment. India is developing stronger electronics manufacturing and embedded engineering capabilities, while Southeast Asia continues attracting manufacturing investment. The combination of supply-chain depth and expanding domestic demand gives Asia-Pacific substantial strategic importance.

• Middle East & Africa: Middle East & Africa represents an emerging Embedded Systems Market supported by smart-city programs, energy infrastructure, telecommunications development, transportation modernization, building automation, healthcare digitization, and industrial diversification. The region represented 4.11% market share in the referenced global regional assessment. Gulf countries are significant adopters of intelligent infrastructure, with embedded controllers used in transportation systems, building management, surveillance, utilities, industrial facilities, and connected public infrastructure.

  Energy applications provide an important demand base. Embedded electronics support monitoring, process control, predictive maintenance, equipment diagnostics, power management, and remote operations. Telecommunications expansion also increases requirements for network equipment, edge devices, wireless infrastructure, and connected monitoring systems.

  African markets are heterogeneous, with adoption concentrated in telecommunications, utilities, healthcare equipment, industrial facilities, transportation, and connected services. Local production capacity remains less developed than in major Asian, European, and North American markets, increasing reliance on imported semiconductor components and finished embedded equipment. Long-term opportunities depend on digital infrastructure expansion, engineering capability, local assembly, and industrial investment.

Competitive Landscape

The Embedded Systems Market features established semiconductor manufacturers, processor vendors, microcontroller specialists, analog companies, connectivity suppliers, and embedded-software providers. The leading group competes through architecture performance, energy efficiency, functional safety, security, connectivity, development software, application support, manufacturing scale, and long product availability. A referenced industry assessment indicates that five leading suppliers collectively represented 45.1% market share, illustrating meaningful concentration at the top while leaving substantial room for specialized semiconductor and software vendors.

Intel competes through embedded processors, edge-computing architectures, programmable logic, and industrial platforms. NXP has strong positioning in automotive processing, secure connectivity, industrial edge applications, and microcontrollers. Texas Instruments combines embedded processors with analog, sensing, motor-control, and power-management technologies. STMicroelectronics and Renesas maintain extensive microcontroller portfolios serving industrial, automotive, consumer, and connected-device applications.

Microchip emphasizes long-life microcontrollers, mixed-signal integration, connectivity, and development tools. Infineon combines microcontrollers with automotive, security, sensing, and power technologies. Qualcomm participates through connected computing, AI processing, and wireless system platforms. Competitive strategy increasingly centers on complete ecosystems rather than individual components. Vendors are therefore investing in operating-system support, AI frameworks, middleware, cybersecurity, reference designs, development environments, and application-specific hardware platforms.

List of Top Embedded Systems Companies

• Intel Corporation (U.S.)

• Texas Instruments Incorporated (U.S.)

• NXP Semiconductors N.V. (Netherlands)

• Renesas Electronics Corporation (Japan)

• STMicroelectronics N.V. (Switzerland)

• Microchip Technology Inc. (U.S.)

• Qualcomm Incorporated (U.S.)

• Infineon Technologies AG (Germany)

• Analog Devices, Inc. (U.S.)

• Samsung Electronics Co., Ltd. (South Korea)

• Fujitsu Limited (Japan)

• Broadcom Inc. (U.S.)

• Wind River Systems, Inc. (U.S.)

Leading Companies by Market Share

Intel Corporation: Intel ranked as the largest competitor in one independently published competitive assessment, holding 2.11% market share on the stated competitor-share basis. Its embedded positioning spans industrial computing, intelligent edge processing, networking, programmable logic, and processor architectures used in equipment requiring high compute capability. The company’s competitive strength is supported by broad software compatibility and established relationships with equipment manufacturers.

Texas Instruments Incorporated: Texas Instruments ranked second in the same competitor analysis with 1.83% market share. Its embedded portfolio combines microcontrollers, processors, analog interfaces, sensors, connectivity components, and power-management technologies. This broad product coverage supports industrial control, automotive electronics, factory automation, medical devices, building systems, communications equipment, and connected products.

Investment Trends & Opportunities

Investment within the Embedded Systems Market is increasingly directed toward edge AI processors, software-defined vehicles, industrial automation, secure microcontrollers, semiconductor localization, advanced packaging, and developer ecosystems. Investors and manufacturers are prioritizing technologies that move intelligence closer to sensors because local processing reduces latency, supports privacy, and lowers communication dependence. Semiconductor suppliers are therefore combining CPU cores with neural accelerators, security blocks, signal processors, memory interfaces, and wireless connectivity.

Automotive electronics represents a major investment area as manufacturers redesign vehicles around centralized and zonal architectures. Industrial automation is another strategic focus because factories increasingly require intelligent controllers, machine vision, robotics, condition monitoring, and predictive maintenance. The top competitors represented 16.43% of the market in one competitive assessment, indicating that specialized suppliers can still capture substantial opportunities outside the largest incumbents.

Investment is also moving toward software tools that simplify embedded AI deployment, secure firmware management, and hardware abstraction. RISC-V ecosystems are attracting development activity because customizable instruction architectures can support differentiated designs. Cybersecurity represents another opportunity, particularly in secure boot, hardware isolation, device identity, encrypted communications, and lifecycle firmware management. Regional semiconductor initiatives are simultaneously encouraging manufacturing diversification, giving suppliers opportunities to expand packaging, testing, component production, and local design support.

Product Innovation & Development

Product development in the Embedded Systems Market is increasingly focused on integrating functions that previously required multiple devices. New processors combine general-purpose computing, neural acceleration, graphics, signal processing, security, connectivity, and control functions within compact architectures. This integration can reduce board complexity while increasing local processing capability.

Artificial intelligence acceleration is a major innovation area. STMicroelectronics introduced the STM32N6 family with an integrated Neural-ART accelerator capable of delivering 600-times the machine-learning performance of the comparison STM32 platform cited by the company. Similar product strategies are emerging across the sector as suppliers target machine vision, speech processing, anomaly detection, predictive maintenance, intelligent sensing, and robotics.

Automotive processor development is moving toward domain and centralized architectures capable of consolidating functions previously handled by multiple electronic control units. Wireless integration is also advancing, with embedded platforms combining Wi-Fi, Bluetooth, Thread, cellular connectivity, and secure processing. Memory architectures are improving to support larger software workloads and AI models.

Development tools are evolving alongside hardware. Semiconductor manufacturers now provide model optimization, code generation, debugging, reference applications, security frameworks, and AI libraries. This software investment is essential because hardware capability creates limited value if engineering teams cannot efficiently deploy applications on the device.

Recent Developments (2023–2026)

• In March 2026, Texas Instruments introduced new microcontroller families with integrated TinyEngine neural processing technology to support lower-latency and energy-efficient edge AI deployment across embedded applications.

• In March 2026, NXP Semiconductors introduced the i.MX 93W applications processor integrating edge computing, neural acceleration, and secure wireless connectivity to simplify physical-AI device architectures.

• In January 2026, NXP Semiconductors unveiled the S32N7 processor series for centralized vehicle computing, targeting consolidation of core vehicle functions within software-defined automotive architectures.

• In October 2025, Infineon Technologies expanded its embedded AI ecosystem with the DEEPCRAFT AI Suite optimized for PSOC Edge microcontrollers to support model development and deployment on energy-efficient devices.

• In July 2025, Renesas Electronics introduced the RA8P1 microcontroller family combining high-performance Arm processing with integrated neural acceleration for edge AI and real-time analytics.

• In March 2025, Microchip Technology released the PIC32A microcontroller family with integrated high-performance analog peripherals for automotive, industrial, consumer, medical, and intelligent-edge applications.

Scope of the Embedded Systems Market Report

The Embedded Systems Market report covers the technology ecosystem supporting dedicated computing, control, communication, sensing, and real-time processing across commercial and industrial applications. The report evaluates hardware and software components, including microprocessors, microcontrollers, field-programmable gate arrays, memory, firmware, embedded operating environments, development tools, and supporting system software.

Market segmentation includes standalone embedded systems, real-time embedded systems, network embedded systems, and mobile embedded systems. The report also evaluates small-scale, medium-scale, and large-scale architectures according to processing requirements, memory capability, system complexity, and intended operating environment. Application coverage includes automotive, consumer electronics, industrial automation, healthcare, telecommunications, aerospace and defense, smart devices, and other specialized electronic systems.

Regional coverage examines North America, Europe, Asia-Pacific, and Middle East & Africa, focusing on semiconductor ecosystems, manufacturing capabilities, application demand, technology adoption, and competitive conditions. North America represented 36.59% of the market in one independently published regional assessment, illustrating the importance of regional technology and semiconductor capabilities within the global industry.

The report also analyzes market drivers, restraints, technology opportunities, engineering challenges, competitive positioning, product innovation, investments, and manufacturer developments. Competitive coverage includes major semiconductor and embedded technology providers active across processors, microcontrollers, analog devices, connectivity, programmable logic, software, and edge-computing platforms.