Global Self-Learning Neuromorphic Chip Market Growth 2023-2029

Global Self-Learning Neuromorphic Chip Market Growth 2023-2029

A self-learning neuromorphic chip that aims to make machines think and learn more like humans.

LPI (LP Information)' newest research report, the “Self-Learning Neuromorphic Chip Industry Forecast” looks at past sales and reviews total world Self-Learning Neuromorphic Chip sales in 2022, providing a comprehensive analysis by region and market sector of projected Self-Learning Neuromorphic Chip sales for 2023 through 2029. With Self-Learning Neuromorphic Chip sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Self-Learning Neuromorphic Chip industry.

This Insight Report provides a comprehensive analysis of the global Self-Learning Neuromorphic Chip landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Self-Learning Neuromorphic Chip portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms' unique position in an accelerating global Self-Learning Neuromorphic Chip market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Self-Learning Neuromorphic Chip and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Self-Learning Neuromorphic Chip.

The global Self-Learning Neuromorphic Chip market size is projected to grow from US$ 789.1 million in 2022 to US$ 2214.2 million in 2029; it is expected to grow at a CAGR of 2214.2 from 2023 to 2029.

North America region is dominating the global self-learning neuromorphic chip market with the largest market revenue. Owing to the presence of major market players, large market of image recognition and implementation of self-learning neuromorphic chip in numerous application such as wearables, consumer electronics, medical, aerospace and others is driving the market. Asia-Pacific region is expected to have fastest growth in the market due to the growing crime rate and increasing infrastructure development.

This report presents a comprehensive overview, market shares, and growth opportunities of Self-Learning Neuromorphic Chip market by product type, application, key manufacturers and key regions and countries.

Market Segmentation:

Segmentation by type
Image Recognition
Signal Recognition
Data Mining

Segmentation by application
Healthcare
Power & Energy
Automotive
Media & Entertainment
Aerospace & Defense
Smartphones
Consumer Electronics
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM (US)
Qualcomm (US)
HRL Laboratories (US)
General Vision (US)
Numenta (US)
Hewlett-Packard (US)
Samsung Group (South Korea)
Intel Corporation (US)
Applied Brain Research Inc. (US)
Brainchip Holdings Ltd. (US)

Key Questions Addressed in this Report

What is the 10-year outlook for the global Self-Learning Neuromorphic Chip market?

What factors are driving Self-Learning Neuromorphic Chip market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do Self-Learning Neuromorphic Chip market opportunities vary by end market size?

How does Self-Learning Neuromorphic Chip break out type, application?

What are the influences of COVID-19 and Russia-Ukraine war?

Please note: The report will take approximately 2 business days to prepare and deliver.