Embedded AI Computing Platform Market Scope
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.
Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Embedded AI Computing Platform market throughout the predicted period.
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) and Microsoft Corporation(United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Horizon Robotics (China), Kneron Inc. (United States) and DeepBrainz AI (India).
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
The study have segmented the market of Global Embedded AI Computing Platform market by Type (Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)] and Software) and Region with country level break-up.
On the basis of geography, the market of Embedded AI Computing Platform has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Singapore, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Spain, Rest of Europe), MEA (Saudi Arabia, Turkey, Israel, United Arab Emirates, South Africa, Rest of Africa), North America (United States, Canada, Mexico).
December 2020 – 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 – AAEON, a leading developer of embedded AI and edge-computing solutions, has announced it is unveiling several new rugged embedded platforms—augmenting an already extensive lineup of AAEON AI edge-computing solutions powered by the NVIDIA Jetson platform. and May 2020 – 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
- Rising Uptake of Artificial Intelligence
- Emergence of the 5G network
- 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
- Potential growth in developing economies
- Evolution in Internet of things (IoT)
- Difficulties in Design and Configuration
- Data Privacy and Security Concerns
- Limitations in Deployment of Solutions in Existing Systems Operating under Harsh Environment
Key Target AudienceService Providers, Network Providers, Telecommunication Industry, End-User and Others
Frequently Asked Questions (FAQ):
1. What are the key segments playing vital role in Embedded AI Computing Platform Market?
The Embedded AI Computing Platform study can be customized to meet your requirements. The market size breakdown by type [Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)] and Software], by end use application .
2. How big is the Embedded AI Computing Platform Market?
The Embedded AI Computing Platform Market is gaining popularity and expected to see strong valuation by 2026.
3. What is expected growth rate in Embedded AI Computing Platform Market?
According to AMA, the Global Embedded AI Computing Platform market is expected to see growth rate of %.