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| Market revenue in 2023 | USD 5,277.2 million |
| Market revenue in 2030 | USD 20,272.3 million |
| Growth rate | 21.2% (CAGR from 2023 to 2030) |
| Largest segment | Consumer electronics |
| Fastest growing segment | Automotive |
| Historical data covered | 2018 - 2022 |
| Base year for estimation | 2023 |
| Forecast period covered | 2024 - 2030 |
| Quantitative units | Revenue in USD million |
| Market segmentation | Consumer Electronics, Automotive, Healthcare, Military & Defense |
Moore's Law states that the total count of transistors on a computer chip doubles every two years, and computer speed and capability will increase every two years, but at a lower cost. An IC's size cannot be reduced while the transistor count is doubled, resulting in issues such as current leakage and overheating.
Thus, the need to find a new way to boost chip computational power has fueled the development of neuromorphic chips. AI and Neuromorphic Computing researchers are continuously working on improving algorithms for various aspects.
Conventional algorithms have drawbacks regarding efficiency and accuracy. Several developments have been carried out to enhance Neuromorphic Computing algorithms. For instance, in August 2019, Chinese scientists introduced the Tianjic chip, a platform that supports neuromorphic spiking neural networks and traditional artificial neural networks for different categories of problems.
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| Name | Profile | # Employees | HQ | Website |
|---|---|---|---|---|
| Intel Corp | View profile | 124,800 | 2200 Mission College Boulevard, Santa Clara, CA, United States, 95054-1549 | www.intel.com |
| International Business Machines Corp | View profile | 282,200 | One New Orchard Road, Armonk, NY, United States, 10504 | www.ibm.com |
| Samsung Electronics Co Ltd | View profile | 124,804 | 129, Samsung-ro, Yeongtong-gu, Gyeonggi-do, Suwon-si, Korea, Republic of, 443-742 | www.samsung.com |
| Hewlett Packard Enterprise Co | View profile | 62,000 | 1701 East Mossy Oaks Road, Spring, TX, United States, 77389 | www.hpe.com |
| Qualcomm Inc | View profile | 50,000 | 5775 Morehouse Drive, San Diego, CA, United States, 92121-1714 | www.qualcomm.com |
| Vicarious Surgical Inc | View profile | 131 | 78 Fourth Avenue, Waltham, MA, United States, 02451 | www.vicarioussurgical.com |
| Boeing Co | View profile | 171,000 | 929 Long Bridge Drive, Arlington, VA, United States, 22202 | www.boeing.com |
| BrainChip Holdings Ltd | View profile | 78 | Level 12, 225 George Street, Sydney, NSW, Australia, 2000 | www.brainchipinc.com |
The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to Neuromorphic Computing Market Outlook will help companies and investors design strategic landscapes.
Consumer Electronics was the largest segment with a revenue share of 57.89% in 2023.
Horizon Databook has segmented the Global neuromorphic computing market based on consumer electronics, automotive, healthcare, military & defense covering the revenue growth of each sub-segment from 2018 to 2030.
Moore's Law states that the total count of transistors on a computer chip doubles every two years, and computer speed and capability will increase every two years, but at a lower cost. An IC's size cannot be reduced while the transistor count is doubled, resulting in issues such as current leakage and overheating.
Thus, the need to find a new way to boost chip computational power has fueled the development of neuromorphic chips. AI and Neuromorphic Computing researchers are continuously working on improving algorithms for various aspects.
Conventional algorithms have drawbacks regarding efficiency and accuracy. Several developments have been carried out to enhance Neuromorphic Computing algorithms. For instance, in August 2019, Chinese scientists introduced the Tianjic chip, a platform that supports neuromorphic spiking neural networks and traditional artificial neural networks for different categories of problems.
Horizon Databook provides a detailed overview of global-level data and insights on the Global Neuromorphic Computing Market Outlook, including forecasts for subscribers. This global databook contains high-level insights into Global Neuromorphic Computing Market Outlook from 2018 to 2030, including revenue numbers, major trends, and company profiles.
