The neuromorphic chip is a chip modeled out on millions of neurons on the biological brain and human eye. This was invented in early 1920 by Carver Mead and Lynn Conway. The chip was built to form a platform for executing large scale real-time simulation. This concept of design was to allow chips to interpret and respond accordingly in ways that are not specifically programmed. The size of these chip is small and can be comfortably placed inside the human body or electronic devices. The global neuromorphic chip market is expected to grow owing to the rising demand for Artificial Intelligence and increasing need for the Internet of Things and Data analytics.This growth is primarily driven by Increasing Demand For Artificial Intelligence Based Microchips and Machine Learning, Growing Demand For Smarter Sensor and Miniaturisation Of ICs.
Globally, a noticeable market trend is evident Development of Artificial Intelligence, Robotics, Nano Technology and 3D printing. Major Players, such as Applied Brain Research, Inc. (Canada), BrainChip Holdings Ltd. (Austalia), General Vision Inc. (United States), HRL Laboratories, LLC. (United States), IBM Corporation (United States), Intel Corporation (United States), Hewlett Packard Enterprise Co. (United States), Lockheed Martin Corporation (United States) and Qualcomm Technologies, Inc. (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.
In December 2018, Applied Brain Research Inc., a neuromorphic computing software released a benchmark showing ABR Nengo DL deep network on the Intel Loihi research Chip which is 38X more efficient than GPU for real-time data deep learning.
- Increasing Demand For Artificial Intelligence Based Microchips and Machine Learning
- Growing Demand For Smarter Sensor
- Miniaturisation Of ICs
- Development of Artificial Intelligence, Robotics, Nano Technology and 3D printing
- Slow Pace in Development of Application Despite Heavy Investment in R&D
- Complex Algorithms Increases The Complexity of Designing Hardware of Neuromorphic Chips
Rise in Number of End User Industries Implementing Neuromorphic Chips, Bringing Artificial Intelligence to Edge Devices and Industry 4.0 Will Provide Potential Growth Opportunity for Chip
Low Return on Investment and Technology Design Challenges
AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.
Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
Against this Challenging Backdrop, Neuromorphic Chip Study Sheds Light on
The Neuromorphic Chip Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Neuromorphic Chip industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
Where Neuromorphic Chip industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.