Embedded Computing Market, By Component (Hardware, Software, and Services), By Processor Type (8-Bit, 16-Bit, 32-Bit, and 64-Bit), By Application (Industrial Automation, Automotive, Healthcare, Aerospace & Defense, Consumer Electronics, and Others), By Geography (North America, Latin America, Europe, Asia Pacific, Middle East & Africa)

Published In : Aug 2024

Code : CMI7237

Pages :155

Formats :

Excel and PDF

Industry : Semiconductors

Market Concentration and Competitive Landscape

Embedded Computing Market Concentration By Players

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Developments in AI and edge computing

Embedded computing is essential for harnessing the potential of emerging technologies like artificial intelligence and edge computing. Advanced data processing that used to occur exclusively in the cloud is now shifting to distributed edge devices due to the capabilities of modern embedded systems. This distributed computing model is opening up exciting new use cases while also addressing challenges around bandwidth constraints and latency issues associated with cloud-based approaches.

Embedded AI aims to bring local, real-time data analytics, and decision making where it is needed most - right at the source of data generation. This brings advantages like reduced response times, elimination of reliance on cloud connectivity, and enhanced privacy and security by minimizing data transfers. Such systems rely heavily on specialized embedded platforms optimized for running AI/ML workloads locally. Powerful yet efficient embedded processors, FPGAs and ASICs are being increasingly used alongside dedicated AI accelerators and neural networking software.

Similarly, edge computing architectures depend on embedded infrastructure being located close to the IoT endpoints. Embedded systems serve as the edge computing gateways that collect and pre-process IoT data before sending relevant analytics and insights to the cloud. This results in lower cloud workloads and network usage. Both AI and edge computing are motivating OEMs to design highly customized embedded solutions tailored for their specific application requirements. The combination of these factors has placed embedded computing at the forefront of next wave technologies like Industry 4.0, self-driving vehicles and predictive maintenance. Going forward, its crucial role in enabling AI everywhere will continue bolstering demand.

Key Players Insights