Semico is a semiconductor marketing & consulting research company located in Phoenix, Arizona. We offer custom consulting, portfolio packages, individual market research studies and premier industry conferences.
The complex SoC marketplace is undergoing a rapid evolution in response to market pressures to provide better solutions. This market, however, is under assault on several fronts due to many issues with the effect of rising design costs for Advanced Performance Multicore SoCS and Value Multicore SoCs. This report covers current complex SoC market trends and drivers, focusing on design costs during the first year that a new node is available. Embedded software design costs are covered, as well as the impacts of rising design costs on SoC design starts, by process node, from 180nm down to 3
The Wafer Demand Summary and Assumptions is a quarterly publication. It includes an excel spreadsheet with annual wafer demand by product by technology from 2010-2021. Product categories include DRAM, SRAM, NAND, NOR, Other Non-volatile, MPU, MCU, DSP, Computing Micro Logic, Communications, Other Micro Logic, Programmable Logic, Standard Cell, Gate Array, Analog, Discrete, Optoelectronics, Sensors and Digital Bipolar. In addition, there is a summary write-up providing the major assumptions behind the forecast and changes from the previous quarter.
Semico tracks almost 1,000 semiconductor fabs in its Fab Database. The database includes detailed information about the fabs, including the operating status of the fab, its location, process and products, wafer size and capacity, and more. The other document included with the database is a Word file containing a summary of updates made to fabs by company type: Memory, Foundries, and Other.
Artificial Intelligence (AI) functionality has emerged into the semiconductor market with many companies participating at all levels of the semiconductor, software, services and IP industries offering a variety of products. The emergence of the AI market represents the 'next big thing' for both the semiconductor industry as well as the overall economy. Deployment has already started in factory floor environments delivering better control and maintenance over a multitude of industrial processes and products.
The term energy harvesting, also known as power scavenging, is used to describe the creation of energy derived from a variety of external sources such as solar power, thermal energy, wind energy, kinetic energy or electromagnetic sources. Energy harvesters accumulate the wasted energy in a system, such as heat given off by motors or semiconductors, or the vibrations of motors or other moving objects.
In its recent report “Energy Harvesting: Reaping the Abundant Market” (MP112-18), Semico Research examines the market opportunity for energy harvesting outside of large solar installations and commercial power generation. A broad range of markets will employ energy harvesting to either replace batteries or extend battery life. These applications cover wireless sensor nodes (WSN) for bridges, infrastructure, building automation and controls, home automation (including lighting, security and environmental), automotive applications, cell phones, wearables and other consumer electronics.
In early April 2018, the Materials Research Society held their spring meeting and exhibit at the Phoenix, Arizona convention center. With over 110 symposium presentations, it was difficult to select which sessions to attend. But one forum caught my eye, “AI for Materials Development”. These days AI seems to be everywhere.
As we all speculate about the impact of AI on autonomous driving and the next killer app, Carla Gomes, Professor of Computer Science and director of the Institute for Computational Sustainability at Cornell University, is focusing on large-scale constraint-based reasoning. She pointed out that AI still can’t compete with good ol’ human common sense. Human reasoning and inference planning are still lacking in most AI systems. One of the key fundamentals of AI is building a neural network that resembles the human brain. Even with the advancements of 7nm silicon technology, this is a daunting task, not to mention the complexities of software algorithms to mimic the human thought and decision process.
But in the world of materials development, AI excels. By integrating material experimentation and AI, the discovery of new materials and the application of materials in the real world is progressing at an accelerated pace. AI is capable of developing the hypotheses and—along with robotics—is following through with new scientific discovery.
Semico Research is pleased to announce Jim Feldhan will be speaking at The ConFab, held May 20-23, 2018 at the Cosmopolitan of Las Vegas. Jim's speech is titled: "Emerging Technology Markets Fueling IC Growth" on Wednesday, May 23rd.
The 3rd Party IP market is a very broad market consisting of IP functions that SoC designers rely on to craft very complex solutions for ever-increasing market requirements. Looking at the individual market segments by IP function and by quarter reveals many interesting trends that are otherwise obscured. One of those trends is activity around silicon solutions for Artificial Intelligence (A.I.) along with eFPGA IP. A new Semico Research Report,
