Future of AI with Human Brain-Like Functions: Numerous Opportunities Created by Key Neuromorphic Computing Companies

Neuromorphic computing is a computer engineering technique that is based on systems found in the human brain. It improves the communication between devices and deploys artificial neural networks for rapid decision-making without human intervention. Rapid deployment of these solutions for home automation, self-driving cars, and medical diagnostics applications due to their high-performance capabilities is fostering industry development.

As per a report by Fortune Business Insights™, the market for neuromorphic computing reached USD 92,450 thousands in 2023 and is set to reach USD 672,056 thousands by 2028 with a CAGR of 48.2% during 2024-2028. The market is also valued at USD 139,291 thousands in 2024.

Fortune Business Insights™ Profiles Top 10 Neuromorphic Computing Companies Operating in the Market

1) Intel Corporation

Established in 2002, Intel Labs focuses on research initiatives to support realizing neuromorphic computing’s aim of permitting next-generation intelligent devices and independent frameworks. Intel Labs has formed the Intel Neuromorphic Research Community (INRC) that connects groups from academic, industry organizations and government to control the extensive tasks in the neuromorphic computing field. In August 2022, Intel Labs, in collaboration with the Italian Institute of Technology, launched a recent approach to neural network–based object learning.

2) IBM Corporation

Headquartered in the U.S., IBM Corporation is an international establishment specializing in computer technology. Giving an energy-efficient computing perspective inspired by the brain, neuromorphic computing contributes to the conversion of the task of the next-gen AI. In an effort to expand, IBM is looking into Europe and Zurich. This perspective focuses on specific tactics inspired by natural frameworks to maximize the efficiency of next-generation AI learning and computing. In August 2023, IBM announced its acquisition of Apptio Inc. having obtained all necessary administrative approvals.

3) BrainChip Holdings Ltd.

BrainChip Property Ltd. was founded in 2004. It offers an advanced computing design that manages neural systems and machine learning calculations at ultra-low control operation, making it appropriate for edge computing applications. In June 2023, BrainChip Holdings Ltd and Lorser Industries announced that they would offer neuromorphic computing solutions for software-defined ratios (SDR) devices.

4) Qualcomm

U.S.-based Qualcomm Innovations Inc., one of the leading neuromorphic computing companies launched Qualcomm Zeroth Preparing, which operates on a contemporary computer design that breaks the traditional shape. The recent innovation in computer processors reflects the human brain and anxious framework so that devices can have fixed cognition driven by brain-inspired computing. In February 2023, Qualcomm Technologies Inc. introduced the Qualcomm Aware Platform. It engrosses designers and undertakings to face real-time data and information experiences to accelerate their computerized change programs.

5) General Vision Inc.

General Vision Inc. is situated in the U.S. It develops leading-edge design and picture credit arrangements driven by its neuromorphic chips. It provides NeuroMem for savvy sensors and storage. With sensors on mechanical apparatus, below the hood of a vehicle, or around a wrist, the ability to remember and categorize designs coming precisely from a sensor is game-changing.

6) GrAI Matter Labs

GrAI Matter Labs is a French developer of artificial intelligence solutions. It provides neuromorphic computing design for edge AI inferencing. The company is a neuromorphic chip developer who has generated a full-stack AI system-on-chip platform for deduction in robotic applications. Usually, it is built on the company’s PCIe M.2 improvement board.

7) Innatera Nanosystems

Founded in 2018, Innatera Nanosystems offers effective neuromorphic processors that replicate the brain's instruments for managing tactile data. Built on a special analog-mixed flag computing design, Innatera's processors deploy the computing proficiencies of spiking neural systems to deliver innovative cognition execution inside a contract control envelope. In January 2024, Innatera presented the ultra-low-power neuromorphic microcontroller. This invention echoes the brain's components for organizing tactile information. It uses a modern analog-mixed flag computing design to implement spiking neural systems.

8) SynSense AG                                                                    

Situated in Switzerland, SynSense AG is a top provider of neuromorphic intelligence and application solutions. Its neuromorphic technology emphasizes robot-related chip research and development, employing neuromorphic insights to offer full-custom and total arrangements. The business concentrates on making mixed-signal neuromorphic silicon equipment for signal processing and neural simulation; it generates programs for interfering with and organizing neuromorphic equipment and crafts arrangements to dissect and handle bio-signals. In September 2023, SynSense introduced the Xylo IMU neuromorphic development kit and improvement pack, allowing ultra-low-power applications for smart wearables and industrial monitoring devices. Launching these applications enables designers to examine unused utilize cases and ask about applications.

9) Samsung Electronics Co. Ltd

Headquartered in South Korea, Samsung Electronics Co. Ltd is some of the leading neuromorphic computing companies reinforces its neural processing unit capacities further to intensify the reach of its artificial intelligence systems. The enterprise increases its current collaboration with universally distinguished universities and research institutes and assists the development of future talent in AI, such as neural processing and deep learning. In September 2021, Samsung Electronics Co. Ltd launched a new method, “COPY and PASTE”, to reverse engineer the brain on the memory chip. With this tactic, the builder can create a memory chip that resembles the fascinating computing features of the brain.

10) SK Hynix Inc.

Founded in 1983, SK Hynix Inc. offers a novel small conductor semiconductor chip similar to the human brain. Neuromorphic chips are all set to play a major role across numerous areas, including voice/face recognition and data mining, by precisely learning from evolving data.

In February 2022, SK Hynix Inc. introduced PIM, a next-generation AI with computing skills. It increased its innovation to bring memory-centric computing, in which semiconductor memory plays a crucial part, a step closer to the reality of gadgets, including smartphones.

Integration of AI and ML Technologies in Neuromorphic Computing to Offer Information Processing Advancements

Artificial Intelligence (AI) and Machine Learning (ML) solutions are gaining traction as industries seek efficient and scalable alternatives to conventional computer architectures for brain-inspired computing. Systems that mimic the brain’s energy efficiency and parallel processing capability are crucial, as evidenced by the expanding applications. Neuromorphic computational technique is highly preferred as more companies seek innovative solutions for difficult real-time data processing issues and complex computational tasks. This is creating numerous opportunities for key/top 10 neuromorphic computing companies.