Market Analysis
The global neuromorphic chip market will touch USD 1,560.3 million at a favorable 11.7% CAGR by 2026, states the new Market Research Future (MRFR) report.
Drivers
Growing Need for AI and ML to Boost Market Growth
The growing need for machine learning and artificial intelligence will boost market growth over the forecast period. AI is being used in various industries like piping, food and beverages, consumer devices, military, aerospace, utility, telecom, entertainment, media, and medical. The combination of machine learning & artificial intelligence systems will revolutionize the business environment with smart decisions.
Regional Analysis
North America to Lead Neuromorphic Chip Market
North America will lead neuromorphic chip market over the forecast period. Increasing need for ML and AI, the need for better performing ICs, extensive awareness regarding the perks of neuromorphic computing in industries like medical, military and defense, military, and aerospace, the US being the leading adopter of AI and ML, image processing, natural language processing, and speech recognition, the presence of eminent vendors in the US, latest technological breakthroughs that have assisted in the advances of new x-ray tubes, and the region being the home to key market vendors are adding to the global neuromorphic chip market growth in the region. Besides, the government initiatives, investment activities, and others, huge investments in R&D activities through partnerships, the penetration of neural-based chipsets in commercialized applications, inspiring measure of technological improvements with regards to product modernizations, and soaring industry-wide applications of neuromorphic chips to empower IoT are also adding market growth.
Read more@ https://www.marketresearchfuture.com/reports/neuromorphic-chip-market-10516
Key Players
Eminent market players profiled in the global neuromorphic chip market report include Hewlett Packard Enterprise, Samsung Electronics Limited, Intel Corp., HRL Laboratories, LLC, General Vision Inc., Applied Brain Research, Inc., Brainchip Holdings Ltd., aiCTX AG, Qualcomm, IBM, Nepes Corp., Innatera, MemComputing, INSTAR Robotics, Ceryx Medical, and Koniku.
