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市场调查报告书
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1989038

神经资讯学平台市场预测至2034年：按平台类型、组件、部署模式、技术、应用、最终用户和地区分類的全球分析

Neuroinformatics Platforms Market Forecasts to 2034 - Global Analysis By Platform Type, Component, Deployment Mode, Technology, Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球神经资讯学平台市场规模将达到 178 亿美元，并在预测期内以 14.5% 的复合年增长率增长，到 2034 年将达到 528 亿美元。

神经资讯学平台是旨在管理、分析、建模和共用海量神经科学数据的计算系统和软体工具，这些数据来自脑部造影、电生理学、基因组学和行为研究。这些平台帮助神经科学家、临床医生和技术开发人员了解大脑功能、开发义肢并推进精准精神疾病治疗。透过整合人工智慧驱动的分析、基于云端的资料储存库和协作研究框架，神经资讯学平台能够加速脑科学领域的发现，实现更个人化的神经系统诊断，并支援脑机介面（BCI）的开发。

加大神经学研究和脑图谱绘製的投入

包括美国脑计画（BRAIN Initiative）、欧洲人脑计画（European Human Brain 计划）以及中国、日本和澳洲的同类计画在内的国际脑研究计划，正在产生前所未有的海量神经影像、电生理、基因组和行为数据，这些数据需要复杂的计算平台进行管理和分析。神经科学数据规模和复杂性的不断增长，以及跨机构数据共用和协作分析的科学需求，正在推动对神经资讯学基础设施的投资。

复杂且异质的神经科学资料格式

神经科学研究会产生极为多样化的资料格式，包括DICOM影像、脉衝序列记录、行为观察影片、基因组序列和临床评估资料。每种资料格式都有其独特的技术规格和元资料要求。由于神经科学各学科之间尚无普遍采用的数据标准，因此建构一个能够摄取、整合和分析来自多个来源和机构的数据的平台，在技术上极具挑战性。

不断扩大的脑机介面开发市场

随着脑机介面（BCI）技术、义肢和封闭回路型神经刺激系统的快速发展，对能够处理即时神经讯号、维护纵向患者资料记录并支援自适应演算法开发的高级神经资讯学平台的需求日益增长。开发BCI系统的公司和研究机构需要强大的资料基础设施来应对连续神经记录资料的大量、高速和复杂性。

资料储存和处理基础架构成本高昂

大规模脑部影像研究、多电极神经记录和人群神经资料储存库产生的大量资料需要对高效能运算、云端储存和专用处理硬体进行大量投资，以进行资料储存、处理和分析。这些基础设施成本对于缺乏企业级运算资源的学术研究机构、小规模临床组织和早期神经资讯学公司而言，构成了一道巨大的财务障碍。

新冠疫情的影响：

新冠疫情对神经资讯平台市场产生了复杂的影响。初期，由于研究中断、实验室关闭以及资金被转移到紧急医疗响应，正在进行的神经科学计划进展缓慢。然而，这场危机加速了科学研究和医疗领域的数位转型，增加了对基于云端的数据共用、人工智慧驱动的分析和远端协作工具的需求。人们对大脑健康、与新冠相关的神经系统併发症以及对先进数据整合平台日益增长的需求的关注，最终增强了市场的长期前景，并促进了全球创新和跨机构研究倡议。

在预测期内，脑影像资料平台细分市场预计将成为最大的细分市场。

脑部影像平台在神经资讯学平台市场中占据最大份额。 MRI、fMRI、PET 和 EEG 影像会产生大量资料集，需要专门的基础设施进行储存、分析和视觉化。随着大规模脑图谱计划和临床神经影像学计画在全球的扩展，对强大的影像资料管理平台的需求持续推动市场发展。脑部影像资料的复杂性和临床意义使其成为神经资讯学领域商业性化程度最高、价值最高的类别。

预计在预测期内，软体领域将呈现最高的复合年增长率。

预计软体领域将在神经资讯学平台市场中实现最高的复合年增长率。用于自动脑分割、神经讯号解读和临床决策支援的人工智慧神经科学软体工具正在科学研究和临床领域迅速普及。云端神经资讯学软体平台支援协作数据分析和多中心研究整合，其成长尤为迅猛，这得益于脑科学研究倡议资金的增加以及人工智慧驱动的神经诊断工具在临床实践中日益广泛的应用。

市占率最大的地区：

在预测期内，北美预计将占据最大的市场份额，这得益于其强大的神经科学研究生态系统、先进的医疗保健基础设施以及来自政府和私营机构的大量资金。领先的研究型大学、生物技术公司和人工智慧技术提供者的存在，促进了神经资讯学解决方案的早期应用。此外，神经系统疾病盛行率的上升、对脑图谱绘製倡议的大量投资以及健全的数据管治框架，进一步增强了该地区在平台开发和部署方面的优势。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于医疗基础设施的不断完善、神经科学研究投入的增加以及新兴经济体的快速数位化。中国、日本和印度等国的政府已将脑科学研究和精准医疗列为优先倡议。人们对神经系统疾病的认识不断提高，学术机构与科技公司之间的合作日益密切，以及人工智慧和巨量资料分析技术的广泛应用，正在加速全部区域对神经资讯平台的需求。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 成长动力、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球神经资讯学平台市场：依平台类型划分

  • 脑影像资料平台
  • 神经讯号处理平台
  • 计算神经科学工具
  • 神经数据整合系统
  • 基于人工智慧的大脑建模平台
  • 基于云端的神经资讯学平台
  • 临床神经资讯系统

第六章 全球神经资讯学平台市场：依组件划分

  • 软体
  • 硬体
  • 服务

第七章 全球神经资讯学平台市场：依部署模式划分

  • 现场
  • 基于云端的

第八章 全球神经资讯学平台市场：依技术划分

  • 人工智慧
  • 巨量资料分析
  • 云端运算
  • 高效能运算

第九章 全球神经资讯学平台市场：按应用划分

  • 临床研究
  • 药物发现
  • 学术研究
  • 脑机介面（BCI）的开发
  • 神经系统疾病分析

第十章：全球神经资讯学平台市场：依最终用户划分

  • 研究机构
  • 製药公司
  • 医院
  • 学术机构

第十一章 全球神经资讯学平台市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十二章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十三章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟、合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十四章：公司简介

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Oracle Corporation
  • Dell Technologies Inc.
  • Hewlett Packard Enterprise Company
  • NVIDIA Corporation
  • Intel Corporation
  • Siemens Healthineers AG
  • Philips NV
  • Cerner Corporation
  • Epic Systems Corporation
  • Medtronic plc
  • Roche Holding AG
  • Johnson & Johnson
  • GE HealthCare Technologies Inc.
  • C3.ai, Inc.
Product Code: SMRC34327

According to Stratistics MRC, the Global Neuroinformatics Platforms Market is accounted for $17.8 billion in 2026 and is expected to reach $52.8 billion by 2034 growing at a CAGR of 14.5% during the forecast period. Neuroinformatics platforms are computational systems and software tools designed to manage, analyze, model, and share large volumes of neuroscientific data generated from brain imaging, electrophysiology, genomics, and behavioral studies. These platforms support neuroscientists, clinicians, and technology developers in understanding brain function, developing neuroprosthetics, and advancing precision psychiatric treatment. By integrating AI-driven analysis, cloud-based data repositories, and collaborative research frameworks, neuroinformatics platforms are accelerating discovery in brain science, enabling more personalized neurological diagnostics, and supporting the development of brain-computer interfaces.

Market Dynamics:

Driver:

Growing neuroscience research and brain mapping initiatives

International brain research initiatives including the United States BRAIN Initiative, the European Human Brain Project, and equivalent programs in China, Japan, and Australia are generating unprecedented volumes of neuroimaging, electrophysiology, genomic, and behavioral data that require sophisticated computational platforms to manage and analyze. The growing scale and complexity of neuroscience data, combined with scientific imperatives for multi-site data sharing and collaborative analysis, is driving investment in neuroinformatics infrastructure.

Restraint:

Complex and heterogeneous neuroscientific data formats

Neuroscience research generates data in an extraordinarily diverse range of formats including DICOM images, spike train recordings, behavioral video, genomic sequences, and clinical assessments, each with distinct technical specifications and metadata requirements. The absence of universally adopted data standards across neuroscience modalities makes it technically challenging to build platforms that can ingest, harmonize, and analyze data from multiple sources and institutions.

Opportunity:

Expanding brain-computer interface development market

The rapid development of brain-computer interface technologies, neural prosthetics, and closed-loop neurostimulation systems is creating growing demand for sophisticated neuroinformatics platforms capable of processing real-time neural signals, maintaining longitudinal patient data records, and supporting adaptive algorithm development. Companies and research institutions developing BCI systems require robust data infrastructure to handle the volume, velocity, and complexity of continuous neural recording data.

Threat:

High data storage and processing infrastructure costs

Infrastructure required to store, process, and analyze massive data volumes generated by large-scale brain imaging studies, multi-electrode neural recordings, and population-level neurological data repositories demands substantial investment in high-performance computing, cloud storage, and specialized processing hardware. These infrastructure costs represent a significant financial barrier for academic research institutions, smaller clinical organizations, and early-stage neuroinformatics companies lacking access to enterprise-scale computing resources.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the Neuroinformatics Platforms Market. Initially, research disruptions, laboratory shutdowns, and funding reallocations toward emergency healthcare responses slowed ongoing neuroscience projects. However, the crisis accelerated digital transformation in research and healthcare, increasing demand for cloud-based data sharing, AI-driven analytics, and remote collaboration tools. Growing emphasis on brain health, neurological complications linked to COVID-19, and the rising need for advanced data integration platforms ultimately strengthened long-term market prospects, fostering innovation and cross-institutional research initiatives globally.

The brain imaging data platforms segment is expected to be the largest during the forecast period

The brain imaging data platforms segment holds the largest share in the neuroinformatics platforms market. MRI, fMRI, PET, and EEG imaging generate enormous datasets that require specialized infrastructure for storage, analysis, and visualization. As large-scale brain mapping projects and clinical neuroimaging programs expand globally, demand for robust imaging data management platforms continues to dominate the market. The complexity and clinical significance of brain imaging data make this segment the most commercially established and highest-value category in neuroinformatics.

The software segment is expected to have the highest CAGR during the forecast period

The software segment is expected to register the highest CAGR in the neuroinformatics platforms market. AI-powered neuroscience software tools for automated brain segmentation, neural signal interpretation, and clinical decision support are experiencing rapid adoption in both research and clinical settings. Cloud-based neuroinformatics software platforms that enable collaborative data analysis and multi-site research integration are growing particularly fast, supported by expanding funding for brain research initiatives and increasing clinical adoption of AI-driven neurological diagnostic tools.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to its strong neuroscience research ecosystem, advanced healthcare infrastructure, and substantial funding from government and private institutions. The presence of leading research universities, biotechnology firms, and AI technology providers supports early adoption of neuroinformatics solutions. Additionally, increasing prevalence of neurological disorders, high investment in brain mapping initiatives, and robust data governance frameworks further drive regional dominance in platform development and deployment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due due to expanding healthcare infrastructure, rising investments in neuroscience research, and rapid digitalization across emerging economies. Governments in countries such as China, Japan, and India are prioritizing brain research and precision medicine initiatives. Growing awareness of neurological disorders, increasing collaborations between academic institutions and technology firms, and broader adoption of AI and big data analytics are accelerating demand for neuroinformatics platforms throughout the region.

Key players in the market

Some of the key players in Neuroinformatics Platforms Market include IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Inc., Oracle Corporation, Dell Technologies Inc., Hewlett Packard Enterprise Company, NVIDIA Corporation, Intel Corporation, Siemens Healthineers AG, Philips N.V., Cerner Corporation, Epic Systems Corporation, Medtronic plc, Roche Holding AG, Johnson & Johnson, GE HealthCare Technologies Inc., and C3.ai, Inc.

Key Developments:

In February 2026, IBM Corporation advanced neuroinformatics by integrating quantum-inspired algorithms into brain data analytics. The company emphasized scalable healthcare applications, supporting precision diagnostics and personalized treatment pathways with enhanced computational efficiency, sustainability, and resilience in neurological research worldwide.

In February 2026, Microsoft Corporation expanded its Azure-based neuroinformatics solutions, embedding advanced AI for multimodal brain data integration. The company highlighted secure cloud deployment, interoperability with healthcare systems, and sustainability-driven infrastructure to accelerate neurological research and clinical decision-making globally.

In February 2026, NVIDIA Corporation reinforced its leadership in GPU-accelerated neuroinformatics, unveiling optimized frameworks for large-scale brain imaging and neural simulations. The company showcased breakthroughs in deep learning models, supporting real-time diagnostics, drug discovery, and personalized neurological care across diverse healthcare ecosystems.

Platform Types Covered:

  • Brain Imaging Data Platforms
  • Neural Signal Processing Platforms
  • Computational Neuroscience Tools
  • Neurodata Integration Systems
  • AI-Based Brain Modeling Platforms
  • Cloud Neuroinformatics Platforms
  • Clinical Neuroinformatics Systems

Components Covered:

  • Software
  • Hardware
  • Services

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Technologies Covered:

  • Artificial Intelligence
  • Big Data Analytics
  • Cloud Computing
  • High-Performance Computing

Applications Covered:

  • Clinical Research
  • Drug Discovery
  • Academic Research
  • Brain-Computer Interface Development
  • Neurological Disorder Analysis

End Users Covered:

  • Research Institutes
  • Pharmaceutical Companies
  • Hospitals
  • Academic Institutions

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Neuroinformatics Platforms Market, By Platform Type

  • 5.1 Brain Imaging Data Platforms
  • 5.2 Neural Signal Processing Platforms
  • 5.3 Computational Neuroscience Tools
  • 5.4 Neurodata Integration Systems
  • 5.5 AI-Based Brain Modeling Platforms
  • 5.6 Cloud Neuroinformatics Platforms
  • 5.7 Clinical Neuroinformatics Systems

6 Global Neuroinformatics Platforms Market, By Component

  • 6.1 Software
  • 6.2 Hardware
  • 6.3 Services

7 Global Neuroinformatics Platforms Market, By Deployment Mode

  • 7.1 On-Premise
  • 7.2 Cloud-Based

8 Global Neuroinformatics Platforms Market, By Technology

  • 8.1 Artificial Intelligence
  • 8.2 Big Data Analytics
  • 8.3 Cloud Computing
  • 8.4 High-Performance Computing

9 Global Neuroinformatics Platforms Market, By Application

  • 9.1 Clinical Research
  • 9.2 Drug Discovery
  • 9.3 Academic Research
  • 9.4 Brain-Computer Interface Development
  • 9.5 Neurological Disorder Analysis

10 Global Neuroinformatics Platforms Market, By End User

  • 10.1 Research Institutes
  • 10.2 Pharmaceutical Companies
  • 10.3 Hospitals
  • 10.4 Academic Institutions

11 Global Neuroinformatics Platforms Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 IBM Corporation
  • 14.2 Microsoft Corporation
  • 14.3 Google LLC
  • 14.4 Amazon Web Services, Inc.
  • 14.5 Oracle Corporation
  • 14.6 Dell Technologies Inc.
  • 14.7 Hewlett Packard Enterprise Company
  • 14.8 NVIDIA Corporation
  • 14.9 Intel Corporation
  • 14.10 Siemens Healthineers AG
  • 14.11 Philips N.V.
  • 14.12 Cerner Corporation
  • 14.13 Epic Systems Corporation
  • 14.14 Medtronic plc
  • 14.15 Roche Holding AG
  • 14.16 Johnson & Johnson
  • 14.17 GE HealthCare Technologies Inc.
  • 14.18 C3.ai, Inc.

List of Tables

  • Table 1 Global Neuroinformatics Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Neuroinformatics Platforms Market Outlook, By Platform Type (2023-2034) ($MN)
  • Table 3 Global Neuroinformatics Platforms Market Outlook, By Brain Imaging Data Platforms (2023-2034) ($MN)
  • Table 4 Global Neuroinformatics Platforms Market Outlook, By Neural Signal Processing Platforms (2023-2034) ($MN)
  • Table 5 Global Neuroinformatics Platforms Market Outlook, By Computational Neuroscience Tools (2023-2034) ($MN)
  • Table 6 Global Neuroinformatics Platforms Market Outlook, By Neurodata Integration Systems (2023-2034) ($MN)
  • Table 7 Global Neuroinformatics Platforms Market Outlook, By AI-Based Brain Modeling Platforms (2023-2034) ($MN)
  • Table 8 Global Neuroinformatics Platforms Market Outlook, By Cloud Neuroinformatics Platforms (2023-2034) ($MN)
  • Table 9 Global Neuroinformatics Platforms Market Outlook, By Clinical Neuroinformatics Systems (2023-2034) ($MN)
  • Table 10 Global Neuroinformatics Platforms Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global Neuroinformatics Platforms Market Outlook, By Software (2023-2034) ($MN)
  • Table 12 Global Neuroinformatics Platforms Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 13 Global Neuroinformatics Platforms Market Outlook, By Services (2023-2034) ($MN)
  • Table 14 Global Neuroinformatics Platforms Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 15 Global Neuroinformatics Platforms Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 16 Global Neuroinformatics Platforms Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 17 Global Neuroinformatics Platforms Market Outlook, By Technology (2023-2034) ($MN)
  • Table 18 Global Neuroinformatics Platforms Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
  • Table 19 Global Neuroinformatics Platforms Market Outlook, By Big Data Analytics (2023-2034) ($MN)
  • Table 20 Global Neuroinformatics Platforms Market Outlook, By Cloud Computing (2023-2034) ($MN)
  • Table 21 Global Neuroinformatics Platforms Market Outlook, By High-Performance Computing (2023-2034) ($MN)
  • Table 22 Global Neuroinformatics Platforms Market Outlook, By Application (2023-2034) ($MN)
  • Table 23 Global Neuroinformatics Platforms Market Outlook, By Clinical Research (2023-2034) ($MN)
  • Table 24 Global Neuroinformatics Platforms Market Outlook, By Drug Discovery (2023-2034) ($MN)
  • Table 25 Global Neuroinformatics Platforms Market Outlook, By Academic Research (2023-2034) ($MN)
  • Table 26 Global Neuroinformatics Platforms Market Outlook, By Brain-Computer Interface Development (2023-2034) ($MN)
  • Table 27 Global Neuroinformatics Platforms Market Outlook, By Neurological Disorder Analysis (2023-2034) ($MN)
  • Table 28 Global Neuroinformatics Platforms Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global Neuroinformatics Platforms Market Outlook, By Research Institutes (2023-2034) ($MN)
  • Table 30 Global Neuroinformatics Platforms Market Outlook, By Pharmaceutical Companies (2023-2034) ($MN)
  • Table 31 Global Neuroinformatics Platforms Market Outlook, By Hospitals (2023-2034) ($MN)
  • Table 32 Global Neuroinformatics Platforms Market Outlook, By Academic Institutions (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.