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市場調查報告書
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1825983

2025年人工神經網路全球市場報告

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個工作天內

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簡介目錄

近年來，人工神經網路 (ANN) 市場規模迅速擴張，從 2024 年的 4.9 億美元成長到 2025 年的 5.8 億美元，複合年成長率為 18.1%。預測期內的成長可歸因於網路攻擊的增加、人工智慧和自動化需求的不斷成長、自主型系統的成長、物聯網 (IoT) 的普及以及雲端運算的普及。

預計未來幾年人工神經網路市場將快速成長，到2029年將達到10.9億美元，複合年成長率為17.2%。預測期內的成長可歸因於各行各業對人工智慧 (AI)年複合成長率的不斷成長、對雲端基礎服務的需求不斷成長、語音助理和對話式人工智慧的使用日益增多、在藥物研發和醫療保健領域的應用日益廣泛，以及巨量資料量的不斷成長。預測期內的主要趨勢包括機器學習和神經網路的進步、它們與巨量資料和分析的整合、與物聯網和邊緣運算的連接、混合雲端邊緣整合以及與5G網路的整合。

ANN 是一種機器學習架構，旨在模仿人腦結構，處理資料並識別模式。它由層層排列的互連節點組成，包括輸入層、隱藏層和輸出層，這些節點透過加權連接協同工作，將輸入資料轉換為有意義的輸出。

人工神經網路的關鍵元件包括解決方案、平台、應用程式介面 (API) 和服務。解決方案是指部署人工神經網路以解決特定業務問題（例如預測分析或決策自動化）的完整系統或軟體。它們部署在本地和雲端，被包括大型企業和中小型企業在內的各類企業廣泛使用。人工神經網路 (ANN) 的主要應用包括影像識別、訊號識別和資料探勘，並被各行各業的最終用戶使用，包括銀行、金融服務和保險 (BFSI)、零售和電子商務、IT 和通訊、製造業、醫療保健和汽車業。

2025年春季美國關稅的突然上調及其引發的貿易摩擦對醫療保健領域產生了重大影響，尤其是對基本醫療設備、診斷設備和藥品的供應。醫院和醫療機構正疲於應對進口手術器械、診斷影像系統以及注射器和導管等消耗品不斷上漲的成本，而這些產品中的許多在國內的替代品有限。由於這些不斷上漲的成本給醫療保健預算帶來壓力，一些醫療機構正在推遲設備升級或將增加的費用轉嫁給患者。此外，原料和零件的關稅擾亂了關鍵藥品和醫療設備的生產，導致供應鏈延遲。作為應對措施，該行業正在採用多樣化的籌資策略，盡可能擴大本地生產，並遊說對關鍵醫療產品免關稅。

本研究報告是商業研究公司（The Business Research Company）新報告系列的一部分，該系列提供人工神經網路市場統計數據，例如全球市場規模、區域佔有率、競爭對手的人工神經網路市場佔有率、詳細的人工神經網路細分市場、市場趨勢以及人工神經網路行業的商機。這份人工神經網路市場研究報告對該行業的現狀和未來走勢進行了詳細分析，為您提供所需的一切資訊的完整觀點。

未來五年17.2%的成長率預測，較我們先前對該市場的預測略有下降0.2%。這一下降主要源自於美國與其他國家之間關稅的影響。徵收關稅可能會擾亂美國醫療人工智慧 (AI) 的發展，因為這會增加從台灣和韓國進口的神經網路訓練模組和深度學習處理器的成本，從而減緩醫療保健創新並增加實驗室成本。此外，由於互惠關稅以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，其影響也將更加廣泛。

對雲端基礎方案日益成長的需求預計將推動人工神經網路 (ANN) 市場的擴張。雲端基礎方案是在透過網際網路訪問的遠端伺服器上運行的服務和應用程式，而不是託管在本地伺服器或設備上。雲端服務日益普及，這得益於其可擴展性、成本效益、改進的資料可存取性以及對遠端協作的支持，這些特性滿足了現代企業不斷變化的需求。人工神經網路透過提供進階資料處理、預測分析和智慧決策功能來增強這些雲端基礎方案，從而提高效能和可擴展性。例如，2023 年 12 月，盧森堡政府機構歐盟統計局報告稱，2023 年購買雲端運算服務的公司數量比 2021 年增加了 4.2 個百分點。因此，對雲端基礎方案日益成長的需求正在促進 ANN 市場的成長。

人工神經網路市場的關鍵參與企業正致力於開發創新平台，例如基於人工智慧的網路平台，以提高資料處理能力、增強預測分析能力並最佳化機器學習模型。這些平台為醫療保健、金融和汽車等領域提供更有效率、更具可擴展性的解決方案。以人工智慧為基礎的網路平台是結合人工智慧和網路技術的先進系統，旨在最佳化資料流、改善網路管理並提升整體效能。例如，2022年2月，總部位於瑞士的專家組織通訊推出了「AI for Good Neural Networks」平台，旨在透過人工智慧促進永續發展。該平台使用先進的人工智慧演算法來應對氣候變遷、貧窮和健康差距等全球挑戰。它處理和分析來自各種來源的大型資料集，從中獲得寶貴的見解，幫助政府、組織和研究人員做出明智的決策。該平台還匯集了來自多個領域的專家，並促進合作，以創建可擴展的創新解決方案，支持聯合國的永續發展目標（SDG）。

2024年2月，總部位於美國的數位產品開發和工程服務公司HTEC集團收購了SYRMIA，收購金額未揭露。此次收購將增強HTEC在人工智慧、機器學習和嵌入式軟體工程方面的能力，使其能夠提供更先進、更具可擴展性的解決方案。總部位於塞爾維亞的SYRMIA LLC專注於內建軟體工程的人工神經網路和機器學習技術。

人工神經網路市場由提供整合和部署服務、教育和培訓服務以及模型維護和最佳化等服務的營業單位所獲得的收益所構成。市場規模包括服務供應商銷售或包含在其服務產品中的相關產品的價值。人工神經網路市場還包括ANN軟體平台、訓練模型和硬體組件的銷售。該市場的價值是“出廠價”，即產品製造商或創造者銷售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的產品價值。該市場中的產品價值還包括產品創造者銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工神經網路：PESTEL分析（政治、社會、科技、環境、法律因素、促進因素與限制因素）
  • 最終用途產業分析
  • 全球人工神經網路市場：成長率分析
  • 全球人工神經網路市場表現：規模與成長，2019-2024
  • 全球人工神經網路市場預測：規模與成長，2024-2029，2034
  • 全球人工神經網路：總目標市場（TAM）

第6章 市場細分

  • 全球人工神經網路市場（按組件、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 解決方案
  • 平台或應用程式介面（API）
  • 服務
  • 全球人工神經網路市場（按部署模式、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 雲
  • 全球人工神經網路市場（依公司類型、績效及預測），2019-2024 年、2024-2029 年、2034 年
  • 主要企業
  • 小型企業
  • 全球人工神經網路市場應用、效能及預測（2019-2024、2024-2029、2034）
  • 影像識別
  • 訊號識別
  • 資料探勘
  • 全球人工神經網路市場（按最終用戶、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 銀行、金融服務和保險（BFSI）
  • 零售與電子商務
  • 資訊科技和通訊
  • 製造業
  • 衛生保健
  • 車
  • 全球人工神經網路市場：解決方案細分、類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體解決方案
  • 硬體解決方案
  • 實施解決方案
  • 資料管理解決方案
  • 全球人工神經網路市場：平台或應用程式介面 (API) 細分，按類型、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 雲端基礎的平台
  • 本地平台
  • 開放原始碼API
  • 專有 API
  • 全球人工神經網路市場：服務細分、類型、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 諮詢服務
  • 整合和部署服務
  • 支援和維護服務
  • 託管服務

第7章 區域和國家分析

  • 全球人工神經網路市場：依地區、績效及預測，2019-2024、2024-2029、2034
  • 全球人工神經網路市場：國家、績效及預測（2019-2024、2024-2029、2034）

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工神經網路市場：競爭格局
  • 人工神經網路市場：公司簡介
    • Google Inc.
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Intel Corporation
    • IBM Corporation

第31章：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第35章：市場潛力大的國家與策略

  • 2029 年人工神經網路市場：提供新機會的國家
  • 2029 年人工神經網路市場：細分領域帶來新機會
  • 2029 年人工神經網路市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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