Dublin, July 16, 2025 (GLOBE NEWSWIRE) -- "LAMEA Neuromorphic Computing Market Size, Share & Industry Analysis Report 2025-2032" has been added to ResearchAndMarkets.com's offering.
The Latin America, Middle East and Africa Neuromorphic Computing Market is expected to witness market growth of 21.7% CAGR during the forecast period (2025-2032).
The Brazilian market dominated the LAMEA Neuromorphic Computing Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $500.4 million by 2032. The Argentinian market is showcasing a CAGR of 22.6% during 2025-2032. Additionally, the UAE market would register a CAGR of 20.6% during 2025-2032.
Tech giants such as Intel and IBM are pioneering the development of brain-inspired processors. Intel's Loihi 2 and IBM's TrueNorth exemplify how modern chips can emulate synaptic plasticity and spiking neuron behavior, enabling new capabilities in pattern recognition and learning at the hardware level. These processors are not only faster and more adaptive than traditional CPUs or GPUs for certain AI tasks but also consume significantly less energy.
The progression in hardware capabilities has opened the door for applications in sectors like robotics, healthcare diagnostics, smart manufacturing, and more, where traditional computing methods struggle with energy constraints and real-time responsiveness. Furthermore, the expansion of cross-industry applications and partnerships is accelerating neuromorphic adoption. Automotive manufacturers are deploying neuromorphic technologies to power advanced driver-assistance systems (ADAS) and autonomous navigation.
This market in LAMEA (Latin America, Middle East, and Africa) is poised for transformative growth, driven by a confluence of emerging technological trends and increasing regional interest in advanced computing paradigms. This computing, which emulates the neural structure of the human brain to enable highly efficient processing, is gaining traction in LAMEA due to the rising demand for low-power, high-performance AI solutions in sectors like defense, telecommunications, healthcare, and smart cities.
Emerging trends highlight a growing adoption of neuromorphic chips and architectures tailored to address the region's specific challenges such as energy efficiency, processing large data sets in real time, and enhancing AI capabilities at the edge. Countries within the Middle East, particularly the UAE and Saudi Arabia, are investing heavily in AI-driven smart infrastructure projects, creating a fertile ground for these computing technologies.
Similarly, South Africa and Brazil are exploring neuromorphic approaches to bolster their defense and cybersecurity systems, leveraging local academic and industrial collaborations. This strategic collaboration is expected to drive knowledge transfer, skill development, and localized manufacturing capabilities, thus reducing dependence on imports and improving scalability.
List of Key Companies Profiled
- IBM Corporation
- Hewlett Packard Enterprise Company
- Intel Corporation
- BrainChip Holdings Ltd.
- Applied Brain Research, Inc.
- General Vision Inc.
- BrainCo, Inc.
- Brain Corporation
- Knowm Inc.
- Numenta, Inc.
Key Topics Covered
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Neuromorphic Computing Market, by Deployment
1.4.2 LAMEA Neuromorphic Computing Market, by Component
1.4.3 LAMEA Neuromorphic Computing Market, by End-use
1.4.4 LAMEA Neuromorphic Computing Market, by Application
1.4.5 LAMEA Neuromorphic Computing Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Challenges
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2024
4.2 Porter Five Forces Analysis
Chapter 5. Key Customer Criteria - Neuromorphic Computing Market
5.1 Energy Efficiency and Power Consumption
5.2 Real-Time Performance
5.3 Scalability and Flexibility
5.4 Compatibility with Spiking Neural Network (SNN) Frameworks
5.5 Application-Specific Optimization
5.6 Cost of Ownership and ROI
5.7 Ecosystem Support and Vendor Reliability
5.8 Security and Privacy Compliance
Chapter 6. LAMEA Neuromorphic Computing Market by Deployment
6.1 LAMEA Edge Market by Country
6.2 LAMEA Cloud Market by Country
Chapter 7. LAMEA Neuromorphic Computing Market by Component
7.1 LAMEA Hardware Market by Country
7.2 LAMEA Software Market by Country
7.3 LAMEA Services Market by Country
Chapter 8. LAMEA Neuromorphic Computing Market by End-use
8.1 LAMEA Consumer Electronics Market by Country
8.2 LAMEA Automotive Market by Country
8.3 LAMEA Healthcare Market by Country
8.4 LAMEA Military & Defense Market by Country
8.5 LAMEA Other End-use Market by Country
Chapter 9. LAMEA Neuromorphic Computing Market by Application
9.1 LAMEA Image Processing Market by Country
9.2 LAMEA Signal Processing Market by Country
9.3 LAMEA Data Processing Market by Country
9.4 LAMEA Object Detection Market by Country
9.5 LAMEA Other Application Market by Country
Chapter 10. LAMEA Neuromorphic Computing Market by Country
10.1 Brazil Neuromorphic Computing Market
10.2 Argentina Neuromorphic Computing Market
10.3 UAE Neuromorphic Computing Market
10.4 Saudi Arabia Neuromorphic Computing Market
10.5 South Africa Neuromorphic Computing Market
10.6 Nigeria Neuromorphic Computing Market
10.7 Rest of LAMEA Neuromorphic Computing Market
Chapter 11. Company Profiles
For more information about this report visit https://www.researchandmarkets.com/r/1k4jfi
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