Global Neuromorphic Computing Market Analysis, Drivers, Restraints, Opportunities, Threats, Trends, Applications, and Growth Forecast to 2027

MarketResearch.biz delivers in-depth insights on the global neuromorphic computing market in its upcoming report titled, “Global Neuromorphic Computing Market Trends, Applications, Analysis, Growth, and Forecast: 2018 to 2027”. The global neuromorphic computing market is estimated to register a CAGR of XX.X% in terms of value during forecast period 2018–2027. The report offers in-depth insights, revenue details, and other vital information regarding the target market, and the various trends, drivers, restraints, opportunities, and threats till 2027. The report offers insightful and detailed information regarding the various key players operating in the market, their financials, supply chain trends, technological innovations, key developments, apart from future strategies, acquisitions & mergers, and market footprint. The global neuromorphic computing market report has been segmented on the basis of application, end-use, and region.

Neuromorphic computing is a technology that is used to develop advanced computing chips that have ability to depict neuro-biological behavior of a human nervous system, which allows the system to process information and data in more specialized way.

Increasing adoption of artificial intelligence for various applications such as robotics, language processing etc. and increasing demand for real-time analytics are major factors driving growth of the global neuromorphic computing market. In addition, increasing adoption of advanced automated technology from various sectors such as manufacturing, telecommunication, retail, logistics, etc. is another factor further fueling growth of the global market. Moreover, increasing demand for machine learning tools and solutions is another factor expected to further propel growth of the global market to a certain extent over the forecast period.

High cost of product development and complex integration are major factors hampering growth of the global neuromorphic computing market. In addition, lack of awareness is another factor hampering growth of the global market. Increasing research and development activities by top universities and major players is expected to create opportunities for market growth over the forecast period. For instance, Massachusetts Institute of Technology (MIT), researchers are developing new chip designs for computers that will work like humans.

High manufacturing cost and fluctuating raw material prices are key factors hampering growth of the Global Wireless Microphone Market . The current trend observed in the market is increasing demand for flexible wearables, smart watches, and flexible displays, which is another factor expected to further support growth of the target market. Increasing adoption of flexible electronics in smart applications is expected to present lucrative business opportunity to major manufacturers and vendors in the global market over the next 10 years.

AsaiASia North America market accounts for highest market share in the global neuromorphic computing market in terms of revenue and is expected to dominate the global market over the forecast period. Presence of major neuromorphic chips manufacturers is a major factor driving growth of the North America neuromorphic computing market. The North America neuromorphic computing market is expected to witness considerable growth with a CAGR of XX.X% over the forecast period. The Europe neuromorphic computing market is expected to significant growth over the forecast period, owing increasing research and development activities on neuromorphic computing by major universities in countries in this region. The Asia Pacific neuromorphic computing market is expected to witness highest growth and is projected to register a CAGR of XX.X% over the next 10 years. This growth can be attributed to increasing demand for automated services and processes from various sectors in countries in this region.

Global neuromorphic computing market segmentation:

Segmentation on the basis of application:

• Signal Processing
• Image Processing
• Data Processing
• Object Detection
• Others

Segmentation on the basis of end-use:

• Consumer Electronics
• Automotive
• Healthcare
• Military & Defense
• Industrial
• Others

Segmentation on the basis of region:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa