Communications Semiconductor Market Forecast 2019-2024
Provides five-year revenue forecasts for many categories of communications semiconductors, including Ethernet products, embedded and server processors, and FPGAs.
Most Recent Guides & Forecasts
Communications Semiconductor Market Share 2019
Provides market share data for many categories of communications semiconductors, including Ethernet products, processors, and FPGAs.
Provides market share data for many categories of communications semiconductors, including Ethernet products, processors, and FPGAs.
A Guide to Processors for Deep Learning
Covers processors for accelerating deep learning, neural networks, and vision processing for AI training and inference in data centers, autonomous vehicles, and client devices.
Covers processors for accelerating deep learning, neural networks, and vision processing for AI training and inference in data centers, autonomous vehicles, and client devices.
A Guide to Multicore Processors
Covers 32- and 64-bit embedded processors with four or more CPU cores that are used for wires and wireless communications, storage, security, and other applications.
Covers 32- and 64-bit embedded processors with four or more CPU cores that are used for wires and wireless communications, storage, security, and other applications.
A Guide to Ethernet Switch and PHY Chips
Covers data-center switch chips for 10G, 25G, 40G, 50G, and 100G Ethernet. Also includes physical-layer (PHY) chips for 10GBase-T and 100G Ethernet.
Covers data-center switch chips for 10G, 25G, 40G, 50G, and 100G Ethernet. Also includes physical-layer (PHY) chips for 10GBase-T and 100G Ethernet.
A Guide to Processors for IoT and Wearables
Covers processors and connectivity chips for IoT clients and wearable devices, focusing primarily on single-chip solutions with integrated radios.
Covers processors and connectivity chips for IoT clients and wearable devices, focusing primarily on single-chip solutions with integrated radios.
White Papers
C-V2X Drives Intelligent Transportation
This white paper describes the benefits that cellular vehicle-to-everything (C-V2X) technology will provide by enabling vehicles to communicate directly with each other (V2V), transportation infrastructure (V2I), and network-connected service providers (V2N).
This white paper describes the benefits that cellular vehicle-to-everything (C-V2X) technology will provide by enabling vehicles to communicate directly with each other (V2V), transportation infrastructure (V2I), and network-connected service providers (V2N).
In-Memory Acceleration for Big Data
Standard CPUs can easily perform complex calculations on small datasets, but they struggle to handle larger datasets, particularly for simple tasks such as search. GSI Technology has created a new type of processor that combines memory and compute units on a single chip.
Standard CPUs can easily perform complex calculations on small datasets, but they struggle to handle larger datasets, particularly for simple tasks such as search. GSI Technology has created a new type of processor that combines memory and compute units on a single chip.
Certus-NX Innovates General-Purpose FPGAs
Certus-NX is the second product in Lattice's Nexus family, bringing the benefits of FD-SOI to a broader range of applications. It is well suited for many applications including smart home, IoT, consumer networking, and motor control.
Certus-NX is the second product in Lattice's Nexus family, bringing the benefits of FD-SOI to a broader range of applications. It is well suited for many applications including smart home, IoT, consumer networking, and motor control.
Machine Learning Moves to the Edge
Embedded systems at the edge of the network will increasingly use machine learning (ML) to deliver new capabilities. Even as ML becomes more important, these new capabilities must be added without breaking the BOM cost and power budgets of existing products. SiMa.ai is a new company developing a product to fit these requirements.
Embedded systems at the edge of the network will increasingly use machine learning (ML) to deliver new capabilities. Even as ML becomes more important, these new capabilities must be added without breaking the BOM cost and power budgets of existing products. SiMa.ai is a new company developing a product to fit these requirements.
