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1989038

神經資訊學平台市場預測至2034年：按平台類型、組件、部署模式、技術、應用、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球神經資訊學平台市場規模將達到 178 億美元，並在預測期內以 14.5% 的複合年成長率成長，到 2034 年將達到 528 億美元。

神經資訊學平台是旨在管理、分析、建模和共用海量神經科學數據的計算系統和軟體工具，這些數據來自腦部造影、電生理學、基因組學和行為研究。這些平台幫助神經科學家、臨床醫生和技術開發人員了解大腦功能、開發義肢並推進精準精神疾病治療。透過整合人工智慧驅動的分析、基於雲端的資料儲存庫和協作研究框架，神經資訊學平台能夠加速腦科學領域的發現，實現更個人化的神經系統診斷，並支援腦機介面（BCI）的開發。

加大神經學研究和腦圖譜繪製的投入

包括美國腦計畫（BRAIN Initiative）、歐洲人腦計畫（European Human Brain 計劃）以及中國、日本和澳洲的同類計畫在內的國際腦研究計劃，正在產生前所未有的海量神經影像、電生理、基因組和行為數據，這些數據需要複雜的計算平台進行管理和分析。神經科學數據規模和複雜性的不斷成長，以及跨機構數據共用和協作分析的科學需求，正在推動對神經資訊學基礎設施的投資。

複雜且異質的神經科學資料格式

神經科學研究會產生極為多樣化的資料格式，包括DICOM影像、脈衝序列記錄、行為觀察影片、基因組序列和臨床評估資料。每種資料格式都有其獨特的技術規格和元資料要求。由於神經科學各學科之間尚無普遍採用的數據標準，因此建構一個能夠攝取、整合和分析來自多個來源和機構的數據的平台，在技術上極具挑戰性。

不斷擴大的腦機介面開發市場

隨著腦機介面（BCI）技術、義肢和封閉回路型神經刺激系統的快速發展，對能夠處理即時神經訊號、維護縱向患者資料記錄並支援自適應演算法開發的高級神經資訊學平台的需求日益成長。開發BCI系統的公司和研究機構需要強大的資料基礎設施來應對連續神經記錄資料的大量、高速和複雜性。

資料儲存和處理基礎架構成本高昂

大規模腦部影像研究、多電極神經記錄和人群神經資料儲存庫產生的大量資料需要對高效能運算、雲端儲存和專用處理硬體進行大量投資，以進行資料儲存、處理和分析。這些基礎設施成本對於缺乏企業級運算資源的學術研究機構、小規模臨床組織和早期神經資訊學公司而言，構成了一道巨大的財務障礙。

新冠疫情的影響：

新冠疫情對神經資訊平台市場產生了複雜的影響。初期，由於研究中斷、實驗室關閉以及資金被轉移到緊急醫療響應，正在進行的神經科學計劃進展緩慢。然而，這場危機加速了科學研究和醫療領域的數位轉型，增加了對基於雲端的數據共用、人工智慧驅動的分析和遠端協作工具的需求。人們對大腦健康、與新冠相關的神經系統併發症以及對先進數據整合平台日益成長的需求的關注，最終增強了市場的長期前景，並促進了全球創新和跨機構研究舉措。

在預測期內，腦影像資料平台細分市場預計將成為最大的細分市場。

腦部影像平台在神經資訊學平台市場中佔據最大佔有率。 MRI、fMRI、PET 和 EEG 影像會產生大量資料集，需要專門的基礎設施進行儲存、分析和視覺化。隨著大規模腦圖譜計劃和臨床神經影像學計畫在全球的擴展，對強大的影像資料管理平台的需求持續推動市場發展。腦部影像資料的複雜性和臨床意義使其成為神經資訊學領域商業性化程度最高、價值最高的類別。

預計在預測期內，軟體領域將呈現最高的複合年成長率。

預計軟體領域將在神經資訊學平台市場中實現最高的複合年成長率。用於自動腦分割、神經訊號解讀和臨床決策支援的人工智慧神經科學軟體工具正在科學研究和臨床領域迅速普及。雲端神經資訊學軟體平台支援協作數據分析和多中心研究整合，其成長尤為迅猛，這得益於腦科學研究舉措資金的增加以及人工智慧驅動的神經診斷工具在臨床實踐中日益廣泛的應用。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其強大的神經科學研究生態系統、先進的醫療保健基礎設施以及來自政府和私營機構的大量資金。領先的研究型大學、生物技術公司和人工智慧技術提供者的存在，促進了神經資訊學解決方案的早期應用。此外，神經系統疾病盛行率的上升、對腦圖譜繪製舉措的大量投資以及健全的數據管治框架，進一步增強了該地區在平台開發和部署方面的優勢。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於醫療基礎設施的不斷完善、神經科學研究投入的增加以及新興經濟體的快速數位化。中國、日本和印度等國的政府已將腦科學研究和精準醫療列為優先舉措。人們對神經系統疾病的認知不斷提高，學術機構與科技公司之間的合作日益密切，以及人工智慧和巨量資料分析技術的廣泛應用，正在加速全部區域對神經資訊平台的需求。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 成長動力、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球神經資訊學平台市場：依平台類型分類

  • 腦影像資料平台
  • 神經訊號處理平台
  • 計算神經科學工具
  • 神經數據整合系統
  • 基於人工智慧的大腦建模平台
  • 基於雲端的神經資訊學平台
  • 臨床神經資訊系統

第6章 全球神經資訊學平台市場：依組件分類

  • 軟體
  • 硬體
  • 服務

第7章 全球神經資訊學平台市場：依部署模式分類

  • 現場
  • 基於雲端的

第8章 全球神經資訊學平台市場：依技術分類

  • 人工智慧
  • 巨量資料分析
  • 雲端運算
  • 高效能運算

第9章 全球神經資訊學平台市場：按應用分類

  • 臨床研究
  • 藥物發現
  • 學術研究
  • 腦機介面（BCI）的開發
  • 神經系統疾病分析

第10章：全球神經資訊學平台市場：依最終用戶分類

  • 研究機構
  • 製藥公司
  • 醫院
  • 學術機構

第11章 全球神經資訊學平台市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟、合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • 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.