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WebFeet Research is a premier market research firm that focuses on in-depth analyses of trends within the semiconductor market.
That memory technology is changing is no surprise to those involved – that it is now beginning to revolutionize computing is a growing expectation of the market. NAND-Flash is nearing a theoretical limit in both lateral shrinks and in the number of layers being good enough for storage but too slow for main memory. Dynamic-RAM is also reaching economical limitations and is likewise under inspection for the technology that will replace it. Enter persistent memory that combines high speed, Byte-addressable DRAM with better non-volatility than Flash. In addition, the processing market is undergoing a sea change where the data will divide into multiple execution units in a data flow type architecture. Some of the data will reside in persistent associative memory execution units tightly coupled to the data flow architecture. How these demands will distribute across the process and memory technology spectrum is the analysis that WebFeet Research delivers.
Service Portfolio 2018
1. In-Memory Database Computing Research Service (RS601-2019)
This service comprises studies that analyze the evolution of solutions using In-Memory Compute architecture executing Analytic functions. Market pressures have increased the need to not only expedite the execution of this function but to extend it to Predictive Analytics as well. This requires the use of Artificial Intelligence technology beyond the Deep Learning perspective. Von Neumann Symbol Computing is adapting to a new generation of Non-von Neumann (NvN) machine capabilities with distributed embedded algorithmic neural networks closely coupled to main memory to achieve a number of other artificial intelligent functions as required (i.e. user programmable). The in-memory NvN Processing Unit can perform additional tasks such as; data, storage, arithmetic, logic, and other computing functions without the need to move data outside the local fabric. Further, this service addresses the In-Memory architecture impacts on Flash memory, Persistent Memory and DRAM.
Artificial Narrow Intelligence – Impact of Deep Learning and its NN Derivatives (RS600DL-2019) Our understanding of Artificial Intelligence has now progressed far enough to better understand its strengths and weaknesses. The base technology stems from the original use of Convolutional Neural Networks (CNN), an entry point into what looked to have a promising future for general use in machine intelligence. This future has fallen short of being able to fulfill that obligation and has been renamed Machine Learning instead. Nevertheless Artificial Narrow Intelligence (ML) is seen as a misnamed leftover on the way to Artificial General Intelligence – it has no real base to link “Intelligence” to but is useful where high levels of classification accuracy are required within a fairly “narrow” subject category. Most of ML is found in Neuromorphic solutions stems from CNN of one sort or another. Generally these solutions require high amounts of training data and supervision to reach a reliable context of use within a system. The implication from the findings of this report is that a more flexible memory framework solution set has evolved and is subtly taking share away from this former industry “workhorse”. That this methodology set has entered into some production levels is problematic for those companies that have entered the market with this technology option with the idea of it becoming a major technology to buttress their IoT entries. The report discusses this with a view to the future and how these current trends will segue into a longer lived and more flexible solution arrangement. One item that is fast moving forward is the use of Persistent NVDRAM within this embedded control, IoTs and Edge computing segment. Additionally, it also points out the need for eNVDRAM for these segments.
Artificial General Intelligence – The Third Wave (RS625AGI-2019) This portfolio builds off ML/DL with the next phase of Artificial Associative Intelligence that is changing the computing processing architecture and is directed toward the future transition to Artificial General Intelligence (AGI). It has become strikingly evident that memory is one of the most prominent elements of human cognition and one that has become increasingly important for artificial intelligence (AI) systems. As AI agents evolve into the third wave and tackle more complex scenarios, the role of memory is not only relevant but has become mandatory. Currently, memory models are one of the most notably missing components of AI platforms and frameworks. This report examines how memory is used in today’s systems and forecasts how it will be transformed into a key element in future Machine Learning and Machine Intelligent systems. Emphasis is placed on hetero-associative memory that can provide one pass training on massive data sets, encode the data into hypervectors, and run hypervector searches efficiently all the while reducing power, vastly increasing performance and maintaining equal or lower cost.
Subjects include DRAM/Flash/XPoint/ReRAM/MRAM/NRAM/FeRAM/HTM/AAM/BAM plus hybrid models and implementations; emergence of, and application of Near Data Computing, and the impact on the von Neumann architecture.
2. Storage Systems Service (SS701-2019)
The main focus of this service analyzes the application devices that contain a significant amount of nonvolatile memory or drive / accelerate the development of nonvolatile memory market for use in a storage application. Target applications are in all three of the major device market segments: consumer, mobile and computing. This service identifies the market requirements and assesses the entire complement of storage technologies and systems that compete for the storage market: Flash Storage (SSD, EFD, Flash Cards), NVDIMM-N/ P/X, Memory Channel Storage and alternative storage technologies.
Solid State Drives (SSD) Markets and Applications - Annual (SS300SSD-2019) The SSD study analyses the technology, markets and applications for SSDs in comparison with hard disk drives. It forecasts the evolution of the computing, consumer, and enterprise markets for SSDs, as well as the technical and commercial challenges SSDs are facing: cost, capacity, reliability, density, temperature range and mechanical ruggedness. Controllers both internal and external for the various types of SSDs are analyzed and forecast by enterprise and computing interface. Flash cache and other NVM caches are also compared and forecast for the enterprise and computing market applications. The annual report includes the SSD forecast out to 2021 and provides breakouts for PCIe, NVMe (PCIe, U.2, M.2), SATA, and NVDIMM-N/P/X.
Solid State Drives (SSD) Company Profiles and SWOT Analysis – Annual (SS350SWT-2019) The annual SSD Company Profiles and SWOT analysis provides the annual database profile of all the 150+ SSD vendors and the 60+ controller/firmware companies along with a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of the top tier SSD companies. In addition, the General Purpose Storage Array Companies and the All Flash Array Companies are listed along with the software companies for Business Intelligence and Analytics, Data Analytics, Object Storage and Distributed File Systems, NVMeof Fabrics and the emerging In-Memory Compute market. The thrust of the SWOT analysis is to integrate the excel database profiles and answer the ongoing business issues facing the SSD market.
Commercial/Industrial/Embedded Solid State Storage (SSS) - Flash Cards, EFD, SSD and module form factor SDD – Markets and Applications Forecast – (SS375ESSD-2019) This spreadsheet only forecast of the Commercial/Industrial/Embedded SSS market breaks out all the Solid State Storage Form Factors: Flash Cards, Embedded Flash Drives (BGA), SSD, Module-based SSDs and other non-standard form factors, which are forecast by units, revenues, Average capacity and ASPs. There are six sub-segments within this market: Networking-Telecom, Industrial, Connected Home, Medical, Automotive, Avionics / Aerospace / Military. Within these segments there are 55+ individual end applications that are also segmented by Geography: America, EMEA, Asia for the forecast period through 2022. Some of the vendor companies are profiled in terms of the embedded products they offer.
Embedded Flash Drives, eMMC / UFS, SPI NAND, SLC NAND (SS450EFD-2019) The annual EFD study analyses the drivers, markets and applications for embedded storage that is positioned between removable cards and SSDs. EFDs are internal or non-removable storage that is bundled with stacked NAND components and a controller, which is more complex than a card controller, but less sophisticated than a SSD controller. Like Flash cards, Embedded Flash Drives (EFD) are found in four market segments: video, image, audio and computer. A total of over thirty individual applications are analyzed and forecast for EFD, eMMC / UFS, SPI NAND and SLC NAND. The study also provides a detailed forecast of the EFD market (revenue, units, ASPs, and GBs) for a five year period. In addition, the embedded NAND component usage is also broken out by density for revenue, unit, ASP, and Gbit consumption. Many of the vendors for EFDs are profiled by product offering and the 2018 and 2020 eMMC Market Shares by Vendor are listed.
3. Memory Components Service (CS801-2019)
This service consists of studies that analyze the market and applications for floating gate and trapped charge Flash memory components, XPoint components and embedded Flash devices. Historic data are provided for the last two years, while forecast data for five years to come.
Flash and XPoint Memory Applications and Markets (CS100FA-2019) The study analyses the demand for Flash memory components (NAND, NOR, Serial NOR, XPoint/NVRAM). It investigates the current and future system and technology requirements for more than 195 end-use applications like Smart Phones, IoT (Internet of Things) and SSDs, which drive the market for Flash and XPoint memory components. This demand forecast segments the usage in each application by memory (NOR-type) or storage (NAND-type) and provides capacity breakouts by revenue, units, Mbits/Gbits, and ASPs that are consolidated into the overall demand forecast. Quarterly spreadsheet updates are available for select applications.
Flash Memory Component Forecast – quarterly (CS200CF-2019) The study analyses quarterly the production of floating gate and 3D Flash memory components plus XPoint memory. The Flash components are segmented by capacity for NOR, MLC NOR, serial NOR, Combo (NOR + xRAM), and into NAND, MLC NAND, TLC NAND, Combo (NAND + xRAM), 3D MLC NAND, 3D TLC NAND and XPoint/NVRAM. Forecasts are provided annually five years for revenue, units, and ASPs. Historical results are compiled from the Flash Memory Reporting Association (FMRA) that collects the quarterly shipments from the top Flash manufacturers. Vendor market shares are projected quarterly for the current year.
Flash Memory Vendors – Market Shares (CS700MS-2019) The report summarizes the market data, as well as the ranking and market shares of NOR, serial NOR and NAND Flash memory manufacturers and vendors. It also includes the rankings and market shares for the other three nonvolatile memory markets: (EPROM + MROM: OTP ROM), EEPROM (serial and parallel), and NVRAM. In addition, serial EEPROM is forecast out to 2024 by interface, density, revenue, units, and ASPs, and another forecast is made for NVSRAM by density. Both forecasts are available for additional costs.
Code Storage SWOT / Companies - (CS575NSW-2019) The report provides a SWOT (Strength, Weakness, Opportunities, Threats) analysis on the Code Storage: Serial NOR, Parallel NOR, SLC and SPI NAND market for the top six vendors. Code Storage is forecast out to 2024 by density (256Mbit-8Gbit) for revenue, units, and ASPs for 20 applications. In addition, the serial NOR forecast is segmented by revenue, units, and Mbits for 50+ applications and includes the rankings and market shares for serial NOR. Serial NOR vendor market shares are projected for the automotive, IoT and total market out to 2024.
emNVM Memory – Applications, Markets and Companies (CS400FA-2019) The study analyses the applications and markets for emFlash/emNVM into microcontrollers (8-bit, 16-bit, 32-bit, DSP) and programmable logic (gate arrays, standard cells, field programmable logic). Over forty+ end-use markets many from in the Internet of Things (IoT) are analyzed/quantified by revenue, units, and ASPs for the emFlash/emNVM memory. As Floating Gate NOR ends its lithography scaling, alternative NVM technologies: RRAM, CBRAM, MRAM, NRAM, FeFET, PCM, and NVRAM are poised to fulfill the embedded memory function. Some of these NV Memories will become Persistent Hyperdimensional Associative Memories used in Neuromorphic Computing. The report also profiles companies participating in this emMarket.
The company offers a full complement of technology consulting, management consulting and market research for nonvolatile memory and solid state storage technologies and products. These research services can be tailored for in-depth strategic planning. Through careful analysis of our client’s company goals, financial condition, and competitive position, we assist them in developing, implementing, and monitoring strategies that assist with transitioning to memory centric computing as well as aligning economic, market directions and forecasts. For more information, visit www.webfeetresearch.com.
Price Schedule for Portfolio - 2019
1. In-Memory / Cognitive Intelligence Computing Research Service
RS600DL-2019 Artificial Narrow Intelligence – Impact on Deep Learning and its NN Derivatives $ 7,500
RS625AGI-2019 Artificial General Intelligence – The Third Wave $ 7,500
RS601-2019 Research Service - the above standard reports plus bi-monthly / conference updates with one on-site meeting per year, strategic planning and positioning of cognitive computing / neuromorphic compute, industry trends, company profiles, thought leadership for a six month term $25,000
2. Storage Systems Service
SS300SSD-2019 Solid State Drives (SSD) Markets/Applications (annual) $ 5,995
SS350SWT-2019 Solid State Drives (SSD) SWOT/Companies (annual) $ 3,995
SS375ESSD-2019 Commercial/Industrial Solid State Storage (SSS) Forecast $ 5,500
SS450EFD-2019 Embedded Flash Drives (EFD) Markets/Applications $ 5,500
SS701-2019 Storage Devices Service – the above standard reports $18,000
Memory Components Service
CS100FA-2019 Flash / XPoint Memory Applications & Markets – (annual) $ 6,000
CS200CF-2019 Flash Memory Component Forecast - (quarterly) $ 3,500
CS500NSW-2019 Code Storage SWOT analysis/ companies - (annual) $ 3,995
CS700MS-2019 Flash Memory and NVM Vendors - Market Shares $ 2,500
Serial EEPROM forecast – bought only with CS700MS $ 500
NVSRAM forecast – bought only with CS700MS $ 500
EFS400FA-2019 emNVM Memory – Applications, Markets and Companies $ 5,500
CS801-2019 Memory Components Service - the above standard reports $21,500
The site license covers a company business unit in one physical location. Multiple business units or multiple physical locations require a corporate license. Corporate licenses are available for a 50% higher price.
Publication Schedule for Studies – 2019
In-Memory / Cognitive Intelligence Computing Research
RS600RTA Real-Time Analytics – Impact on Semiconductor Markets 3
RS625AI Artificial Intelligence – The Third Wave 12
SS300SSD Solid State Drives (SSD) Markets/Applications 1
SS350SWT Solid State Drives (SSD) SWOT/Companies 8
SS375ESSD Commercial/Industrial Solid State Storage (SSS) Forecast 5
SS450EFD Embedded Flash Drives 11
CS100FA Flash Memory Applications and Markets 3
CS200CF Flash Memory Component Forecast quarterly (3, 6, 9, 12)
CS700MS Flash Memory and NVM Vendors - Market Shares 3
CS400FA emFlash Memory – Applications, Markets and Companies 11