New York, NY -- (SBWIRE) -- 07/11/2019 -- Incorporated with Info-graphics, charts, 35 tables and 55 figures, this 117-page research report "Neuromorphic Chipsets Market Size, Type Analysis, Application Analysis, End-Use Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2018 - 2023" is based on a complete research of the entire Global market and covering all its sub-segments through comprehensively thorough classifications. Insightful analysis and assessment are created from superior primary and secondary information sources with data and information derived from industry specialists across the value chain. The report provides historical market data for 2014-2018, base year estimates for 2018, and forecasts from 2018 to 2023.

Global Neuromorphic Chipsets Market:
The application of Artificial Intelligence (AI) is growing exponentially. This rapid expansion of AI software development, therefore, calls for a focused effort to build new hardware that can process the emerging AI algorithms.
Future of AI hardware will be defined by biologically-inspired neuromorphic chipsets, which provide a real time boost for AI systems. Brain-like chips deliver natural intelligence in major AI applications in the long-term, and have the desirable characteristics of intelligent sensors. The ultimate aim is to develop process technologies, materials, memories, and other building blocks for the integration of the neuron chips into sensors.

The major players covered in this report are:
IBM, Qualcomm, SK Hynix, Intel, and Brain Corporation, etc.

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Industry Adoption:
Focus is on the impact of neuromorphic hardware across different industries. Current status or limitations, and the future requirements and use cases for each industry have been considered to build the adoption scenario. The advantages offered by neuromorphic chipsets for the different verticals address how the new brain-inspired technology can help bridge the gap in the future.

Competitive Intelligence:
The report includes an overview of the key players and active research projects in the domain. It covers different entities ranging from established semiconductor players and specialized neuromorphic solution providers, to universities and research institutes. The different parameters related to implementation level, market readiness, future focus, etc., are also highlighted. Additionally, the section includes an overview of emerging players and startups in ecosystem that are providing differentiated offerings and defining new frontiers in neuromorphic architecture and design.

Geographically, this report studies the key regions, focuses on product sales, value, market share and growth opportunity in these regions, covering:
- United States
- Europe
- China
- Japan
- Southeast Asia
- India

We can also provide the customized separate regional or country-level reports, for the following regions:
North America, United States, Canada, Mexico, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Singapore, Rest of Asia-Pacific, Europe, Germany, France, UK, Italy, Spain, Russia, Rest of Europe, Central & South America, Brazil, Argentina, Rest of South America, Middle East & Africa, Saudi Arabia, Turkey, Rest of Middle East & Africa

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Key Insights:
- Neuromorphic chipsets are laying the foundation for achieving artificial general intelligence (AGI) capabilities
- Low power consumption, pattern recognition and stochastic operation are some of the key features that are driving adoption of neuromorphic chipsets across industries
- Leading players are offering prototypes and making collaborative efforts with research institutes for applying neuromorphic technology in real-world applications
- Startups and organizations focused on ultra-low-power solutions, neuromorphic vision systems, always-on operation and AGI models are gaining traction
- The patent study highlights an increased focus towards the development of autonomous systems, including initial investigations on electronic synapses for the implementation of reinforcement learning and other innovative architectures
- Neuromorphic chipsets play a critical role in the high-performance architectures envisioned for 2040 for building massive computational infrastructure

Why buy?
o Understand the demand for global Neuromorphic Chipsets to determine the viability of the market.
o Identify the developed and emerging markets where Neuromorphic Chipsets services are offered.
o Identify the challenge areas and address them.
o Develop strategies based on the drivers, trends and highlights for each of the segments.
o Evaluate the value chain to determine the workflow and to get an idea of the current position where you are placed.
o Recognize the key competitors of this market and respond accordingly.
o Knowledge of the initiatives and growth strategies taken up by the major companies and decide on the direction for further growth.
o Define the competitive positioning by comparing the products and services with the key players in the market.

Key elements from table of content:

1. Introduction
1.1. Introduction to the Architecture and Properties
1.2. Implementation of Neural Algorithms on Hardware
1.3. Spiking Neural Networks Driving Neuromorphic Computing
1.4. Neuromorphic Chipsets Transforming the AI Landscape
1.5. Key Features Enabling Industry-wide Adoption
2. Industry Adoption of Neuromorphic Chipsets
2.1. Automotive
2.2. IoT Ecosystem
2.3. Financial Services
2.4. Cybersecurity
2.5. Space Industry
2.6. Medical Systems
3. Competitive Intelligence
3.1. Key Players
3.2. Active Research Projects
3.3. Increased Interest in Emerging Entities
3.4. Overview of the Startup Ecosystem
4. R&D in the Neuromorphic Hardware Domain
4.1. Universities active in the Domain
5. Patent Trend Analysis
5.1. Overview of the Patenting Activities
5.2. Top Technology Domains
5.3. Focus Areas of the Technology Domains
5.4. Assignees Across Geographies
5.5. Overview of Assignees
5.6. Top Assignees
5.7. Emerging Players and Top Universities
5.8. Other Important Activities
6. Key Takeaways
7. Appendix

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