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市场调查报告书
商品编码
1825983

2025年人工神经网路全球市场报告

Artificial Neural Network Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，人工神经网路 (ANN) 市场规模迅速扩张，从 2024 年的 4.9 亿美元成长到 2025 年的 5.8 亿美元，复合年增长率为 18.1%。预测期内的成长可归因于网路攻击的增加、人工智慧和自动化需求的不断增长、自主型系统的成长、物联网 (IoT) 的普及以及云端运算的普及。

预计未来几年人工神经网路市场将快速成长，到2029年将达到10.9亿美元，复合年增长率为17.2%。预测期内的成长可归因于各行各业对人工智慧 (AI)年复合成长率的不断增长、对云端基础服务的需求不断增长、语音助理和对话式人工智慧的使用日益增多、在药物研发和医疗保健领域的应用日益广泛，以及巨量资料量的不断增长。预测期内的主要趋势包括机器学习和神经网路的进步、它们与巨量资料和分析的整合、与物联网和边缘运算的连接、混合云端边缘整合以及与5G网路的整合。

ANN 是一种机器学习架构，旨在模仿人脑结构，处理资料并识别模式。它由层层排列的互连节点组成，包括输入层、隐藏层和输出层，这些节点透过加权连接协同工作，将输入资料转换为有意义的输出。

人工神经网路的关键元件包括解决方案、平台、应用程式介面 (API) 和服务。解决方案是指部署人工神经网路以解决特定业务问题（例如预测分析或决策自动化）的完整系统或软体。它们部署在本地和云端，被包括大型企业和中小型企业在内的各类企业广泛使用。人工神经网路 (ANN) 的主要应用包括影像识别、讯号识别和资料探勘，并被各行各业的最终用户使用，包括银行、金融服务和保险 (BFSI)、零售和电子商务、IT 和通讯、製造业、医疗保健和汽车业。

2025年春季美国关税的突然上调及其引发的贸易摩擦对医疗保健领域产生了重大影响，尤其是对基本医疗设备、诊断设备和药品的供应。医院和医疗机构正疲于应对进口手术器械、诊断影像系统以及注射器和导管等消耗品不断上涨的成本，而这些产品中的许多在国内的替代品有限。由于这些不断上涨的成本给医疗保健预算带来压力，一些医疗机构正在推迟设备升级或将增加的费用转嫁给患者。此外，原料和零件的关税扰乱了关键药品和医疗设备的生产，导致供应链延迟。作为应对措施，该行业正在采用多样化的筹资策略，尽可能扩大本地生产，并游说对关键医疗产品免关税。

本研究报告是商业研究公司（The Business Research Company）新报告系列的一部分，该系列提供人工神经网路市场统计数据，例如全球市场规模、区域份额、竞争对手的人工神经网路市场份额、详细的人工神经网路细分市场、市场趋势以及人工神经网路行业的商机。这份人工神经网路市场研究报告对该行业的现状和未来走势进行了详细分析，为您提供所需的一切资讯的完整观点。

未来五年17.2%的成长率预测，较我们先前对该市场的预测略有下降0.2%。这一下降主要源自于美国与其他国家之间关税的影响。征收关税可能会扰乱美国医疗人工智慧 (AI) 的发展，因为这会增加从台湾和韩国进口的神经网路训练模组和深度学习处理器的成本，从而减缓医疗保健创新并增加实验室成本。此外，由于互惠关税以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响，其影响也将更加广泛。

对云端基础方案日益增长的需求预计将推动人工神经网路 (ANN) 市场的扩张。云端基础方案是在透过互联网访问的远端伺服器上运行的服务和应用程序，而不是託管在本地伺服器或设备上。云端服务日益普及，这得益于其可扩展性、成本效益、改进的资料可存取性以及对远端协作的支持，这些特性满足了现代企业不断变化的需求。人工神经网路透过提供进阶资料处理、预测分析和智慧决策功能来增强这些云端基础方案，从而提高效能和可扩展性。例如，2023 年 12 月，卢森堡政府机构欧盟统计局报告称，2023 年购买云端运算服务的公司数量比 2021 年增加了 4.2 个百分点。因此，对云端基础方案日益增长的需求正在促进 ANN 市场的成长。

人工神经网路市场的关键参与企业正致力于开发创新平台，例如基于人工智慧的网路平台，以提高资料处理能力、增强预测分析能力并优化机器学习模型。这些平台为医疗保健、金融和汽车等领域提供更有效率、更具可扩展性的解决方案。以人工智慧为基础的网路平台是结合人工智慧和网路技术的先进系统，旨在优化资料流、改善网路管理并提升整体效能。例如，2022年2月，总部位于瑞士的专家组织通讯推出了「AI for Good Neural Networks」平台，旨在透过人工智慧促进永续发展。该平台使用先进的人工智慧演算法来应对气候变迁、贫穷和健康差距等全球挑战。它处理和分析来自各种来源的大型数据集，从中获得宝贵的见解，帮助政府、组织和研究人员做出明智的决策。该平台还汇集了来自多个领域的专家，并促进合作，以创建可扩展的创新解决方案，支持联合国的永续发展目标（SDG）。

2024年2月，总部位于美国的数位产品开发和工程服务公司HTEC集团收购了SYRMIA，收购金额未揭露。此次收购将增强HTEC在人工智慧、机器学习和嵌入式软体工程方面的能力，使其能够提供更先进、更具可扩展性的解决方案。总部位于塞尔维亚的SYRMIA LLC专注于内建软体工程的人工神经网路和机器学习技术。

人工神经网路市场由提供整合和部署服务、教育和培训服务以及模型维护和优化等服务的营业单位所获得的收益所构成。市场规模包括服务供应商销售或包含在其服务产品中的相关产品的价值。人工神经网路市场还包括ANN软体平台、训练模型和硬体组件的销售。该市场的价值是“出厂价”，即产品製造商或创造者销售给其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接销售给最终客户的产品价值。该市场中的产品价值还包括产品创造者销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工神经网路：PESTEL分析（政治、社会、科技、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球人工神经网路市场：成长率分析
  • 全球人工神经网路市场表现：规模与成长，2019-2024
  • 全球人工神经网路市场预测：规模与成长，2024-2029，2034
  • 全球人工神经网路：总目标市场（TAM）

第六章 市场细分

  • 全球人工神经网路市场（按组件、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 平台或应用程式介面（API）
  • 服务
  • 全球人工神经网路市场（按部署模式、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球人工神经网路市场（依公司类型、绩效及预测），2019-2024 年、2024-2029 年、2034 年
  • 大公司
  • 小型企业
  • 全球人工神经网路市场应用、效能及预测（2019-2024、2024-2029、2034）
  • 影像识别
  • 讯号识别
  • 资料探勘
  • 全球人工神经网路市场（按最终用户、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 银行、金融服务和保险（BFSI）
  • 零售与电子商务
  • 资讯科技和通讯
  • 製造业
  • 卫生保健
  • 车
  • 全球人工神经网路市场：解决方案细分、类型、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 软体解决方案
  • 硬体解决方案
  • 实施解决方案
  • 资料管理解决方案
  • 全球人工神经网路市场：平台或应用程式介面 (API) 细分，按类型、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 云端基础的平台
  • 本地平台
  • 开放原始码API
  • 专有 API
  • 全球人工神经网路市场：服务细分、类型、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 整合和部署服务
  • 支援和维护服务
  • 託管服务

第七章 区域和国家分析

  • 全球人工神经网路市场：依地区、绩效及预测，2019-2024、2024-2029、2034
  • 全球人工神经网路市场：国家、绩效及预测（2019-2024、2024-2029、2034）

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 人工神经网路市场：竞争格局
  • 人工神经网路市场：公司简介
    • Google Inc.
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Intel Corporation
    • IBM Corporation

第31章：其他领先和创新企业

  • Qualcomm Technologies Inc.
  • Oracle Corporation
  • SAP SE
  • Hewlett Packard Enterprise Development LP
  • NVIDIA Corporation
  • Salesforce Inc.
  • Rockwell Automation Inc.
  • OpenAI Inc.
  • H2O.ai Inc.
  • Anaconda Inc.
  • Clarifai Inc.
  • Neurala Inc.
  • Ward Systems Group
  • BrainChip Holdings Ltd.
  • NeuroDimension Inc.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第35章：市场潜力大的国家与策略

  • 2029 年人工神经网路市场：提供新机会的国家
  • 2029 年人工神经网路市场：细分领域带来新机会
  • 2029 年人工神经网路市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r33646u

An artificial neural network (ANN) is a machine learning architecture designed to imitate the structure of the human brain to process data and identify patterns. It consists of interconnected nodes arranged in layers, including input, hidden, and output layers, that work together to convert input data into meaningful outputs via weighted connections.

The main components of an artificial neural network include solutions, platform or application programming interfaces (APIs), and services. Solutions refer to complete systems or software that deploy artificial neural networks to address specific business challenges, such as predictive analytics or automated decision-making. The deployment modes are on-premises and cloud, and are used by various enterprises, including large enterprises and small to medium-sized businesses. Key applications of ANN include image recognition, signal recognition, and data mining, and these are used by end users across industries such as banking, financial services and insurance (BFSI), retail and e-commerce, IT and telecom, manufacturing, healthcare, and automotive.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a significant impact on the healthcare sector, especially in the supply of essential medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are grappling with higher costs for imported surgical tools, imaging systems, and consumables like syringes and catheters, many of which have limited domestic substitutes. These escalating expenses are putting pressure on healthcare budgets, prompting some providers to delay equipment upgrades or pass increased costs on to patients. Furthermore, tariffs on raw materials and components are disrupting the manufacturing of vital drugs and devices, leading to supply chain delays. In response, the industry is adopting diversified sourcing strategies, expanding local production where feasible, and pushing for tariff exemptions on critical medical products.

The artificial neural network market research report is one of a series of new reports from The Business Research Company that provides artificial neural network market statistics, including the artificial neural network industry global market size, regional shares, competitors with the artificial neural network market share, detailed artificial neural network market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial neural network industry. This artificial neural network market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial neural network market size has grown rapidly in recent years. It will grow from $0.49 billion in 2024 to $0.58 billion in 2025 at a compound annual growth rate (CAGR) of 18.1%. The growth in the historic period can be attributed to increasing cyberattacks, increased demand for AI and automation, growth in self-sustained systems, increased adoption of the Internet of Things (IoT), and increased cloud adoption.

The artificial neural network market size is expected to see rapid growth in the next few years. It will grow to $1.09 billion in 2029 at a compound annual growth rate (CAGR) of 17.2%. The growth in the forecast period can be attributed to rising demand for artificial intelligence (AI) across industries, increasing demand for cloud-based services, increasing use of voice assistants and conversational AI, increasing usage in drug discovery and healthcare, and rising big data volume. Major trends in the forecast period include advancements in machine learning and neural networks, integration with big data and analytics, connectivity with IoT and edge computing, hybrid cloud and edge integration, and integration with 5G networks.

The forecast of 17.2% growth over the next five years reflects a modest reduction of 0.2% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. The imposition of tariffs may disrupt U.S. medical Artificial intelligence(AI) development by increasing costs for neural network training modules and deep learning processors imported from Taiwan and South Korea, potentially slowing healthcare innovation and raising research lab expenses. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growing demand for cloud-based solutions is anticipated to drive the expansion of the artificial neural network (ANN) market. Cloud-based solutions are services or applications that run on remote servers accessed through the internet rather than being hosted on local servers or devices. The increasing adoption of cloud services is driven by their scalability, cost-effectiveness, improved data accessibility, and support for remote collaboration, which align with the changing needs of modern businesses. Artificial neural networks enhance these cloud-based solutions by providing advanced data processing, predictive analytics, and intelligent decision-making capabilities to improve performance and scalability. For example, in December 2023, Eurostat, a government agency in Luxembourg, reported a 4.2 percentage point increase in the number of enterprises purchasing cloud computing services in 2023 compared to 2021. As a result, the growing demand for cloud-based solutions is contributing to the growth of the ANN market.

Key players in the artificial neural network market are focusing on the development of innovative platforms, such as AI-based networking platforms, to boost data processing capabilities, enhance predictive analytics, and optimize machine learning models. These platforms enable more efficient and scalable solutions across sectors such as healthcare, finance, and automotive. AI-based networking platforms are advanced systems that combine artificial intelligence with networking technologies to optimize data flow, improve network management, and enhance overall performance. For instance, in February 2022, the International Telecommunication Union, a Switzerland-based specialized agency, launched the AI for Good neural network platform to promote sustainable development through artificial intelligence. This platform uses advanced AI algorithms to address global challenges such as climate change, poverty, and health disparities. It processes and analyzes large datasets from various sources, providing valuable insights to help governments, organizations, and researchers make informed decisions. The platform also fosters collaboration, bringing together experts from multiple sectors to create scalable, innovative solutions that support the UN's Sustainable Development Goals (SDGs).

In February 2024, HTEC Group, a US-based digital product development and engineering services firm, acquired SYRMIA for an undisclosed amount. This acquisition allows HTEC to enhance its capabilities in artificial intelligence, machine learning, and embedded software engineering, enabling the company to offer more advanced and scalable solutions. SYRMIA LLC, a Serbia-based company, specializes in artificial neural networks and machine learning technologies in embedded software engineering.

Major players in the artificial neural network market are Google Inc., Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, IBM Corporation, Qualcomm Technologies Inc., Oracle Corporation, SAP SE, Hewlett Packard Enterprise Development LP, NVIDIA Corporation, Salesforce Inc., Rockwell Automation Inc., OpenAI Inc., H2O.ai Inc., Anaconda Inc., Clarifai Inc., Neurala Inc., Ward Systems Group, BrainChip Holdings Ltd., NeuroDimension Inc.

North America was the largest region in the artificial neural network market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial neural network report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial neural network market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial neural network market consists of revenues earned by entities by providing services such as integration and deployment services, educational and training services, and model maintenance and optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial neural network market also includes sales of ANN software platforms, pre-trained models, and hardware components. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Neural Network Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial neural network market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial neural network ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial neural network market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Solutions; Platform Or Application Programming Interface (API); Services
  • 2) By Deployment Mode: On-Premises; Cloud
  • 3) By Enterprise: Large Enterprises; Small And Medium Enterprises
  • 4) By Application: Image Recognition; Signal Recognition; Data Mining
  • 5) By End-User: Banking, Financial Services, and Insurance (BFSI); Retail And E-Commerce; IT And Telecom; Manufacturing; Healthcare; Automotive
  • Subsegments:
  • 1) By Solutions: Software Solutions; Hardware Solutions; Deployment Solutions; Data Management Solutions
  • 2) By Platform Or Application Programming Interface (API): Cloud-Based Platforms; On-Premise Platforms; Open-Source APIs; Proprietary APIs
  • 3) By Services: Consulting Services; Integration And Deployment Services; Support And Maintenance Services; Managed Services
  • Companies Mentioned: Google Inc.; Microsoft Corporation; Amazon Web Services Inc.; Intel Corporation; IBM Corporation; Qualcomm Technologies Inc.; Oracle Corporation; SAP SE; Hewlett Packard Enterprise Development LP; NVIDIA Corporation; Salesforce Inc.; Rockwell Automation Inc.; OpenAI Inc.; H2O.ai Inc.; Anaconda Inc.; Clarifai Inc.; Neurala Inc.; Ward Systems Group; BrainChip Holdings Ltd.; NeuroDimension Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Neural Network Market Characteristics

3. Artificial Neural Network Market Trends And Strategies

4. Artificial Neural Network Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Neural Network Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Neural Network PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Neural Network Market Growth Rate Analysis
  • 5.4. Global Artificial Neural Network Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Neural Network Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Neural Network Total Addressable Market (TAM)

6. Artificial Neural Network Market Segmentation

  • 6.1. Global Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solutions
  • Platform Or Application Programming Interface (API)
  • Services
  • 6.2. Global Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Large Enterprises
  • Small And Medium Enterprises
  • 6.4. Global Artificial Neural Network Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Image Recognition
  • Signal Recognition
  • Data Mining
  • 6.5. Global Artificial Neural Network Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services, and Insurance (BFSI)
  • Retail And E-Commerce
  • IT And Telecom
  • Manufacturing
  • Healthcare
  • Automotive
  • 6.6. Global Artificial Neural Network Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software Solutions
  • Hardware Solutions
  • Deployment Solutions
  • Data Management Solutions
  • 6.7. Global Artificial Neural Network Market, Sub-Segmentation Of Platform Or Application Programming Interface (API), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based Platforms
  • On-Premise Platforms
  • Open-Source APIs
  • Proprietary APIs
  • 6.8. Global Artificial Neural Network Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Integration And Deployment Services
  • Support And Maintenance Services
  • Managed Services

7. Artificial Neural Network Market Regional And Country Analysis

  • 7.1. Global Artificial Neural Network Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Neural Network Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Neural Network Market

  • 8.1. Asia-Pacific Artificial Neural Network Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Neural Network Market

  • 9.1. China Artificial Neural Network Market Overview
  • 9.2. China Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Neural Network Market

  • 10.1. India Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Neural Network Market

  • 11.1. Japan Artificial Neural Network Market Overview
  • 11.2. Japan Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Neural Network Market

  • 12.1. Australia Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Neural Network Market

  • 13.1. Indonesia Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Neural Network Market

  • 14.1. South Korea Artificial Neural Network Market Overview
  • 14.2. South Korea Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Neural Network Market

  • 15.1. Western Europe Artificial Neural Network Market Overview
  • 15.2. Western Europe Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Neural Network Market

  • 16.1. UK Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Neural Network Market

  • 17.1. Germany Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Neural Network Market

  • 18.1. France Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Neural Network Market

  • 19.1. Italy Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Neural Network Market

  • 20.1. Spain Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Neural Network Market

  • 21.1. Eastern Europe Artificial Neural Network Market Overview
  • 21.2. Eastern Europe Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Neural Network Market

  • 22.1. Russia Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Neural Network Market

  • 23.1. North America Artificial Neural Network Market Overview
  • 23.2. North America Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Neural Network Market

  • 24.1. USA Artificial Neural Network Market Overview
  • 24.2. USA Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Neural Network Market

  • 25.1. Canada Artificial Neural Network Market Overview
  • 25.2. Canada Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Neural Network Market

  • 26.1. South America Artificial Neural Network Market Overview
  • 26.2. South America Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Neural Network Market

  • 27.1. Brazil Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Neural Network Market

  • 28.1. Middle East Artificial Neural Network Market Overview
  • 28.2. Middle East Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Neural Network Market

  • 29.1. Africa Artificial Neural Network Market Overview
  • 29.2. Africa Artificial Neural Network Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Neural Network Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Neural Network Market, Segmentation By Enterprise, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Neural Network Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Neural Network Market Competitive Landscape
  • 30.2. Artificial Neural Network Market Company Profiles
    • 30.2.1. Google Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Neural Network Market Other Major And Innovative Companies

  • 31.1. Qualcomm Technologies Inc.
  • 31.2. Oracle Corporation
  • 31.3. SAP SE
  • 31.4. Hewlett Packard Enterprise Development LP
  • 31.5. NVIDIA Corporation
  • 31.6. Salesforce Inc.
  • 31.7. Rockwell Automation Inc.
  • 31.8. OpenAI Inc.
  • 31.9. H2O.ai Inc.
  • 31.10. Anaconda Inc.
  • 31.11. Clarifai Inc.
  • 31.12. Neurala Inc.
  • 31.13. Ward Systems Group
  • 31.14. BrainChip Holdings Ltd.
  • 31.15. NeuroDimension Inc.

32. Global Artificial Neural Network Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Neural Network Market

34. Recent Developments In The Artificial Neural Network Market

35. Artificial Neural Network Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Neural Network Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Neural Network Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Neural Network Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer