Advance Market Analytics published a new research publication on "Embedded AI Computing Platform Market" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Embedded AI Computing Platform market was mainly driven by the increasing R&D spending across the world.
Some of the key players profiled in the study are:
Aaeon (Taiwan),IBM (United States),Synaptics (United States),Atmel Corporation(United States),Microchip Technology, Inc.(United States),Intel Corporation(United States),Renesas Electronics Corporation (Japan),Fujitsu Limited (Japan),ARM Holdings plc. (United Kingdom),Microsoft Corporation(United States)
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Brief Snapshot of Embedded AI Computing Platform:
An embedded computer platform or system is a set of hardware and software that is designed to execute a certain purpose in a machine or electronic device. Any embedded computer system's hardware and software are two distinct pieces that are triggered by a set of commands called a programme to conduct an operation as a stand-alone system. The essential components used to run an embedded computing system include microcontrollers (MCUs), microprocessors (MPUs), or other custom-developed chips, as well as accompanying software in ROM (Read Only Memory). They have high speed, low power consumption, accuracy, adaptability, reusability, reliability, and size, among other qualities. Embedded computing systems are widely employed in a wide range of applications, including home automation, office automation, banking and financial institutions, security, automobile, defence, personal, and healthcare, among others. The industry for embedded computing has been fueled by rising consumer electronics acceptance and artificial intelligence usage. Growing digitization in healthcare and industrial automation, as well as increased demand in the automotive, defence, and other industries, are all aspects influencing the global embedded computing market.
December 2020 â€" Synaptics Inc. announced its newest battery-powered edge computing platform Katana Edge AI in partnership with Eta Compute to enable on-device face biometrics. The new platform combines low power SoC architecture with energy-efficient AI software and is aimed at consumer and IoT applications
April 2020 â€" AAEON, a leading developer of embedded AI and edge-computing solutions, has announced it is unveiling several new rugged embedded platformsâ€"augmenting an already extensive lineup of AAEON AI edge-computing solutions powered by the NVIDIA Jetson platform.
May 2020 â€" IBM announced new services and solutions backed by a broad ecosystem of partners to help enterprises and telecommunications companies boost their transition to edge computing in the 5G
Embedded AI Computing Platform Market Trends:
Rising Uptake of Artificial Intelligence
Emergence of the 5G network
Potential growth in developing economies
Evolution in Internet of things (IoT)
Increasing Penetration of Consumer Electronics
The healthcare Sector Uses Embedded Computing Technology to a Great Extent Owing to Its High Reliability
Increased Automation of Processes
The titled segments and sub-section of the market are illuminated below:
by Type (Hardware (Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)), Software), End-User Industry (Automotive, Industrial, Healthcare, Communications, Consumers Electronics, Others), Organization Size (SMEs, Large Enterprises)
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Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
Points Covered in Table of Content of Global Embedded AI Computing Platform Market:
Chapter 01 – Embedded AI Computing Platform Executive Summary
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
Chapter 04 – Covid-19 Crisis Analysis on Global Embedded AI Computing Platform Market
Chapter 05 – Global Embedded AI Computing Platform Market - Pricing Analysis
Chapter 06 – Global Embedded AI Computing Platform Market Background
Chapter 07 — Global Embedded AI Computing Platform Market Segmentation
Chapter 08 – Key and Emerging Countries Analysis in Global Embedded AI Computing Platform Market
Chapter 09 – Global Embedded AI Computing Platform Market Structure Analysis
Chapter 10 – Global Embedded AI Computing Platform Market Competitive Analysis
Chapter 11 – Assumptions and Acronyms
Chapter 12 – Embedded AI Computing Platform Market Research Methodology
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Key questions answered
- Who are the Leading key players and what are their Key Business plans in the Global Embedded AI Computing Platform market?
- What are the key concerns of the five forces analysis of the Global Embedded AI Computing Platform market?
- What are different prospects and threats faced by the dealers in the Global Embedded AI Computing Platform market?
- What are the strengths and weaknesses of the key vendors?
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