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- Applied Brain Research, Inc
- BrainChip Holdings Ltd
- Bit&Brain Technologies SL
- BrainCo, Inc
- General Vision Inc
- Aspinity, Inc
- Samsung Electronics Co, Ltd.(Samsung Group)
- Hewlett Packard Enterprise Company
- Intel Corporation
- NVIDIA Corporation
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LSH
The Global Neural Processor Market size is expected to reach $798.2 million by 2031, rising at a market growth of 17.8% CAGR during the forecast period.
Neural processors power chatbots and virtual assistants' banks and insurance companies use to handle customer inquiries, provide support, and offer personalized recommendations. Consequently, the BFSI segment would generate approximately 17.8% share of the market by 2030. By comprehending natural language and delivering pertinent responses, these systems enhance the consumer experience. Thus, these factors can assist in the growth of the segment.
Edge computing entails processing data in proximity to the point of generation, as opposed to centralized data centers. This approach reduces latency and bandwidth usage while enabling real-time data analysis and decision-making, making it crucial for applications requiring quick responses and efficient resource utilization. Thus, these factors can assist in the expansion of the market.
Additionally, Deep learning methods, distinguished by their multi-layered, sophisticated neural network architectures, have been extensively implemented in various fields, including computer vision, natural language processing (NLP), and autonomous systems. Therefore, owing to these factors, the market will witness increased demand in the coming years.
However, While neural processors exhibit superior performance in accelerating specialized AI tasks, they often struggle to match the versatility of general-purpose processors such as CPUs and GPUs. Developing neural processors that efficiently handle various AI workloads while maintaining scalability across various applications poses formidable engineering hurdles. Therefore, these factors can lead to reduced demand in the market.
By Application Analysis
Based on application, the market is segmented into fraud detection, hardware diagnostics, financial forecasting, image optimization, and others. In 2023, the financial forecasting segment garnered a 14.9% revenue share in the market. Neural networks excel at capturing intricate patterns and relationships within financial data, leading to more accurate forecasting models. As neural processors become more powerful and specialized for financial applications, they contribute to further improvements in prediction accuracy. Thus, these aspects will propel the growth of the segment.
By End User Analysis
On the basis of end user, the market is divided into BFSI, healthcare, retail, defense agencies, media, logistics, and others. The retail segment recorded a 24.21% revenue share in the market in 2023. As AI becomes more pervasive in consumer electronics, the demand for neural processors in retail products is expected to rise. Manufacturers are integrating AI capabilities into devices such as smartphones, cameras, smart speakers, and wearables, which drives the demand for efficient neural processing units (NPUs).
By Regional Analysis
By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. In 2023, the Europe segment acquired a 29.56% revenue share in the market. Europe has been actively investing in AI research and development, with countries like the UK, Germany, France, and Switzerland being prominent hubs for AI innovation. European companies and research institutions have been at the forefront of developing neural processors for various applications, including data centers, autonomous vehicles, healthcare, and consumer electronics. Hence, the segment will grow rapidly in the upcoming years.
Recent Strategies Deployed in the Market
- Mar-2024: Hewlett Packard Enterprise company has partnered with NVIDIA Corporation to launch an end-to-end AI-native portfolio. This solution, powered by HPE ProLiant DL380a Gen11 servers, is pre-configured with NVIDIA GPUs, Spectrum-X Ethernet networking platform, and BlueField-3 DPUs. Enhanced by HPE's machine learning platform and analytics software, along with NVIDIA AI Enterprise 5.0 software, the solution offers businesses speed, scale, and control for deploying generative AI models within a hybrid cloud model.
- Jan-2024: BrainChip Holdings Ltd has partnered with MYWAI, a top AIoT solution provider in the EU, to deliver cutting-edge Edge AI solutions. These solutions will utilize BrainChip's Akida(TM) for efficient sensor data processing and learning, along with MYWAI's AIoT Platform for EaaS. The partnership aims to drive Edge AI adoption in industrial and robotic sectors, creating substantial value for both companies and their clients.
- Jan-2024: NVIDIA Corporation launched new GeForce RTX(TM) SUPER desktop GPUs for enhanced generative AI performance, alongside AI laptops from various leading manufacturers. They also introduced new NVIDIA RTX(TM)-accelerated AI software and tools for developers and consumers, leveraging decades of PC expertise. These tools include NVIDIA TensorRT(TM) acceleration for text-to-image workflows, NVIDIA RTX Remix for AI-based texture creation, NVIDIA ACE microservices, and more games integrating DLSS 3 technology for Frame Generation.
- Dec-2023: Intel Corporation has unveiled the Core Ultra H and Core Ultra U series, part of their new mobile processors based on the Meteor Lake platform. The Ultra Core H series offers four SKUs, including 16-core and 14-core variants, with a base TDP of 28W and a maximum turbo TDP of up to 115W. These chips feature two Low Power Island cores for light workloads and include Neural Compute Engines for generative AI inferencing.
- Nov-2023: NVIDIA collaborates with Terra Quantum AG, a Swiss deep tech incubator focusing on quantum technology. The collaboration aimed to advance data analytics through hybrid computing. Together, they will accelerate the integration of hybrid quantum through GPUs. Terra Quantum seeks to leverage quantum computing's potential to overcome data processing limitations, enhancing speed, accuracy, and scalability. This collaboration with NVIDIA unlock new opportunities across sectors like finance, healthcare, logistics, and energy, enabling businesses to employ data-driven strategies for growth and competitiveness.
List of Key Companies Profiled
- Applied Brain Research, Inc.
- BrainChip Holdings Ltd
- Intel Corporation
- Samsung Electronics Co., Ltd.
- Hewlett Packard Enterprise Company
- NVIDIA Corporation
- Bit&Brain Technologies S.L
- BrainCo, Inc.
- General Vision Inc.
- Aspinity, Inc.
Global Neural Processor Market Report Segmentation
By Application
- Hardware Diagnostics
- Image Optimization
- Fraud Detection
- Financial Forecasting
- Others
By End User
- Retail
- Defense Agencies
- Media
- BFSI
- Healthcare
- Logistics
- Others
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1.Market Scope & Methodology
- 1.1Market Definition
- 1.2Objectives
- 1.3Market Scope
- 1.4Segmentation
- 1.4.1Global Neural Processor Market, by Application
- 1.4.2Global Neural Processor Market, by End User
- 1.4.3Global Neural Processor Market, by Geography
- 1.5Methodology for the research
Chapter 2.Market at a Glance
Chapter 3.Market Overview
- 3.1Introduction
- 3.1.1Overview
- 3.1.1.1Market Composition and Scenario
- 3.2Key Factors Impacting the Market
- 3.2.1Market Drivers
- 3.2.2Market Restraints
- 3.2.3Market Opportunities
- 3.2.4Market Challenges
- 3.3Porter's Five Forces Analysis
Chapter 4.Recent Strategies Deployed in Neural Processor Market
Chapter 5.Global Neural Processor Market by Application
- 5.1Global Hardware Diagnostics Market by Region
- 5.2Global Image Optimization Market by Region
- 5.3Global Fraud Detection Market by Region
- 5.4Global Financial Forecasting Market by Region
- 5.5Global Others Market by Region
Chapter 6.Global Neural Processor Market by End User
- 6.1Global Retail Market by Region
- 6.2Global Defense Agencies Market by Region
- 6.3Global Media Market by Region
- 6.4Global BFSI Market by Region
- 6.5Global Healthcare Market by Region
- 6.6Global Logistics Market by Region
- 6.7Global Others Market by Region
Chapter 7.Global Neural Processor Market by Region
- 7.1North America Neural Processor Market
- 7.1.1North America Neural Processor Market by Application
- 7.1.1.1North America Hardware Diagnostics Market by Country
- 7.1.1.2North America Image Optimization Market by Country
- 7.1.1.3North America Fraud Detection Market by Country
- 7.1.1.4North America Financial Forecasting Market by Country
- 7.1.1.5North America Others Market by Country
- 7.1.2North America Neural Processor Market by End User
- 7.1.2.1North America Retail Market by Country
- 7.1.2.2North America Defense Agencies Market by Country
- 7.1.2.3North America Media Market by Country
- 7.1.2.4North America BFSI Market by Country
- 7.1.2.5North America Healthcare Market by Country
- 7.1.2.6North America Logistics Market by Country
- 7.1.2.7North America Others Market by Country
- 7.1.3North America Neural Processor Market by Country
- 7.1.3.1US Neural Processor Market
- 7.1.3.1.1US Neural Processor Market by Application
- 7.1.3.1.2US Neural Processor Market by End User
- 7.1.3.2Canada Neural Processor Market
- 7.1.3.2.1Canada Neural Processor Market by Application
- 7.1.3.2.2Canada Neural Processor Market by End User
- 7.1.3.3Mexico Neural Processor Market
- 7.1.3.3.1Mexico Neural Processor Market by Application
- 7.1.3.3.2Mexico Neural Processor Market by End User
- 7.1.3.4Rest of North America Neural Processor Market
- 7.1.3.4.1Rest of North America Neural Processor Market by Application
- 7.1.3.4.2Rest of North America Neural Processor Market by End User
- 7.2Europe Neural Processor Market
- 7.2.1Europe Neural Processor Market by Application
- 7.2.1.1Europe Hardware Diagnostics Market by Country
- 7.2.1.2Europe Image Optimization Market by Country
- 7.2.1.3Europe Fraud Detection Market by Country
- 7.2.1.4Europe Financial Forecasting Market by Country
- 7.2.1.5Europe Others Market by Country
- 7.2.2Europe Neural Processor Market by End User
- 7.2.2.1Europe Retail Market by Country
- 7.2.2.2Europe Defense Agencies Market by Country
- 7.2.2.3Europe Media Market by Country
- 7.2.2.4Europe BFSI Market by Country
- 7.2.2.5Europe Healthcare Market by Country
- 7.2.2.6Europe Logistics Market by Country
- 7.2.2.7Europe Others Market by Country
- 7.2.3Europe Neural Processor Market by Country
- 7.2.3.1Germany Neural Processor Market
- 7.2.3.1.1Germany Neural Processor Market by Application
- 7.2.3.1.2Germany Neural Processor Market by End User
- 7.2.3.2UK Neural Processor Market
- 7.2.3.2.1UK Neural Processor Market by Application
- 7.2.3.2.2UK Neural Processor Market by End User
- 7.2.3.3France Neural Processor Market
- 7.2.3.3.1France Neural Processor Market by Application
- 7.2.3.3.2France Neural Processor Market by End User
- 7.2.3.4Russia Neural Processor Market
- 7.2.3.4.1Russia Neural Processor Market by Application
- 7.2.3.4.2Russia Neural Processor Market by End User
- 7.2.3.5Spain Neural Processor Market
- 7.2.3.5.1Spain Neural Processor Market by Application
- 7.2.3.5.2Spain Neural Processor Market by End User
- 7.2.3.6Italy Neural Processor Market
- 7.2.3.6.1Italy Neural Processor Market by Application
- 7.2.3.6.2Italy Neural Processor Market by End User
- 7.2.3.7Rest of Europe Neural Processor Market
- 7.2.3.7.1Rest of Europe Neural Processor Market by Application
- 7.2.3.7.2Rest of Europe Neural Processor Market by End User
- 7.3Asia Pacific Neural Processor Market
- 7.3.1Asia Pacific Neural Processor Market by Application
- 7.3.1.1Asia Pacific Hardware Diagnostics Market by Country
- 7.3.1.2Asia Pacific Image Optimization Market by Country
- 7.3.1.3Asia Pacific Fraud Detection Market by Country
- 7.3.1.4Asia Pacific Financial Forecasting Market by Country
- 7.3.1.5Asia Pacific Others Market by Country
- 7.3.2Asia Pacific Neural Processor Market by End User
- 7.3.2.1Asia Pacific Retail Market by Country
- 7.3.2.2Asia Pacific Defense Agencies Market by Country
- 7.3.2.3Asia Pacific Media Market by Country
- 7.3.2.4Asia Pacific BFSI Market by Country
- 7.3.2.5Asia Pacific Healthcare Market by Country
- 7.3.2.6Asia Pacific Logistics Market by Country
- 7.3.2.7Asia Pacific Others Market by Country
- 7.3.3Asia Pacific Neural Processor Market by Country
- 7.3.3.1China Neural Processor Market
- 7.3.3.1.1China Neural Processor Market by Application
- 7.3.3.1.2China Neural Processor Market by End User
- 7.3.3.2Japan Neural Processor Market
- 7.3.3.2.1Japan Neural Processor Market by Application
- 7.3.3.2.2Japan Neural Processor Market by End User
- 7.3.3.3India Neural Processor Market
- 7.3.3.3.1India Neural Processor Market by Application
- 7.3.3.3.2India Neural Processor Market by End User
- 7.3.3.4South Korea Neural Processor Market
- 7.3.3.4.1South Korea Neural Processor Market by Application
- 7.3.3.4.2South Korea Neural Processor Market by End User
- 7.3.3.5Singapore Neural Processor Market
- 7.3.3.5.1Singapore Neural Processor Market by Application
- 7.3.3.5.2Singapore Neural Processor Market by End User
- 7.3.3.6Malaysia Neural Processor Market
- 7.3.3.6.1Malaysia Neural Processor Market by Application
- 7.3.3.6.2Malaysia Neural Processor Market by End User
- 7.3.3.7Rest of Asia Pacific Neural Processor Market
- 7.3.3.7.1Rest of Asia Pacific Neural Processor Market by Application
- 7.3.3.7.2Rest of Asia Pacific Neural Processor Market by End User
- 7.4LAMEA Neural Processor Market
- 7.4.1LAMEA Neural Processor Market by Application
- 7.4.1.1LAMEA Hardware Diagnostics Market by Country
- 7.4.1.2LAMEA Image Optimization Market by Country
- 7.4.1.3LAMEA Fraud Detection Market by Country
- 7.4.1.4LAMEA Financial Forecasting Market by Country
- 7.4.1.5LAMEA Others Market by Country
- 7.4.2LAMEA Neural Processor Market by End User
- 7.4.2.1LAMEA Retail Market by Country
- 7.4.2.2LAMEA Defense Agencies Market by Country
- 7.4.2.3LAMEA Media Market by Country
- 7.4.2.4LAMEA BFSI Market by Country
- 7.4.2.5LAMEA Healthcare Market by Country
- 7.4.2.6LAMEA Logistics Market by Country
- 7.4.2.7LAMEA Others Market by Country
- 7.4.3LAMEA Neural Processor Market by Country
- 7.4.3.1Brazil Neural Processor Market
- 7.4.3.1.1Brazil Neural Processor Market by Application
- 7.4.3.1.2Brazil Neural Processor Market by End User
- 7.4.3.2Argentina Neural Processor Market
- 7.4.3.2.1Argentina Neural Processor Market by Application
- 7.4.3.2.2Argentina Neural Processor Market by End User
- 7.4.3.3UAE Neural Processor Market
- 7.4.3.3.1UAE Neural Processor Market by Application
- 7.4.3.3.2UAE Neural Processor Market by End User
- 7.4.3.4Saudi Arabia Neural Processor Market
- 7.4.3.4.1Saudi Arabia Neural Processor Market by Application
- 7.4.3.4.2Saudi Arabia Neural Processor Market by End User
- 7.4.3.5South Africa Neural Processor Market
- 7.4.3.5.1South Africa Neural Processor Market by Application
- 7.4.3.5.2South Africa Neural Processor Market by End User
- 7.4.3.6Nigeria Neural Processor Market
- 7.4.3.6.1Nigeria Neural Processor Market by Application
- 7.4.3.6.2Nigeria Neural Processor Market by End User
- 7.4.3.7Rest of LAMEA Neural Processor Market
- 7.4.3.7.1Rest of LAMEA Neural Processor Market by Application
- 7.4.3.7.2Rest of LAMEA Neural Processor Market by End User
Chapter 8.Company Profiles
- 8.1Applied Brain Research, Inc.
- 8.1.1Company Overview
- 8.1.2SWOT Analysis
- 8.2BrainChip Holdings Ltd
- 8.2.1Company Overview
- 8.2.2Financial Analysis
- 8.2.3Segmental and Regional Analysis
- 8.2.4Research & Development Expenses
- 8.2.5Recent strategies and developments:
- 8.2.5.1Partnerships, Collaborations, and Agreements:
- 8.2.6SWOT Analysis
- 8.3Bit&Brain Technologies S.L
- 8.3.1Company Overview
- 8.3.2SWOT Analysis
- 8.4BrainCo, Inc.
- 8.4.1Company Overview
- 8.4.2SWOT Analysis
- 8.5General Vision Inc.
- 8.5.1Company Overview
- 8.5.2SWOT Analysis
- 8.6Aspinity, Inc.
- 8.6.1Company Overview
- 8.6.2SWOT Analysis
- 8.7Samsung Electronics Co., Ltd. (Samsung Group)
- 8.7.1Company Overview
- 8.7.2Financial Analysis
- 8.7.3Segmental and Regional Analysis
- 8.7.4Recent strategies and developments:
- 8.7.4.1Partnerships, Collaborations, and Agreements:
- 8.7.4.2Product Launches and Product Expansions:
- 8.7.5SWOT Analysis
- 8.8Hewlett Packard Enterprise Company
- 8.8.1Company Overview
- 8.8.2Financial Analysis
- 8.8.3Segmental and Regional Analysis
- 8.8.4Research & Development Expense
- 8.8.5Recent strategies and developments:
- 8.8.5.1Partnerships, Collaborations, and Agreements:
- 8.8.5.2Acquisition and Mergers:
- 8.8.6SWOT Analysis
- 8.9Intel Corporation
- 8.9.1Company Overview
- 8.9.2Financial Analysis
- 8.9.3Segmental and Regional Analysis
- 8.9.4Research & Development Expenses
- 8.9.5Recent strategies and developments:
- 8.9.5.1Product Launches and Product Expansions:
- 8.9.6SWOT Analysis
- 8.10.NVIDIA Corporation
- 8.10.1Company Overview
- 8.10.2Financial Analysis
- 8.10.3Segmental and Regional Analysis
- 8.10.4Research & Development Expenses
- 8.10.5Recent strategies and developments:
- 8.10.5.1Partnerships, Collaborations, and Agreements:
- 8.10.5.2Product Launches and Product Expansions:
- 8.10.5.3Acquisition and Mergers:
Chapter 9.Winning Imperatives of Neural Processor Market