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市場調查報告書

商品編碼

1732058

全球人工神經網路市場研究報告-產業分析、規模、佔有率、成長、趨勢及2025年至2033年預測

Global Artificial Neural Network Market Research Report- Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

出版日期: 2025年05月01日 | 出版商:

Value Market Research | 英文 149 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球人工神經網路市場規模預計將從 2024 年的 4.6 億美元成長到 2033 年的 23.9 億美元，在 2026 年至 2033 年的預測期內，年複合成長率(CAGR) 將達到 20.02%。

隨著各行各業擴大利用機器學習和深度學習技術，人工神經網路 (ANN) 市場即將實現大幅擴張。隨著運算能力的進步和巨量資料的激增，ANN 正在成為各種應用不可或缺的一部分，包括影像辨識、自然語言處理和預測分析。醫療保健、金融和汽車等領域對自動化和智慧系統的需求日益成長，推動著創新，從而促進了更複雜的神經架構的開發，以提高性能和效率。

隨著各組織尋求利用人工智慧的潛力，將 ANN 整合到現有系統中正成為一項策略重點。邊緣運算的興起進一步推動了這一趨勢，邊緣運算可以在源頭實現即時資料處理和決策。因此，企業正在投資研發，以創建解決特定行業挑戰的客製化解決方案，從而創造鼓勵技術提供者和最終用戶之間合作的競爭格局。由於利害關係人要求自動決策過程具有更大的責任感，因此對人工智慧模型的可解釋性和透明度的強調也在塑造 ANN 的未來。

展望未來，ANN 市場預計將見證自主系統和智慧城市等新興領域的應用激增。 ANN 與物聯網 (IoT) 和區塊鏈等其他技術的整合將為創新和效率帶來新的機會。隨著企業繼續優先考慮數位轉型，利用 ANN 增強洞察力和營運敏捷性的能力將成為市場中的關鍵差異化因素，為 ANN 行業在未來幾年的持續成長和相關性奠定基礎。

我們的報告經過精心製作，為客戶提供有關各個行業和市場的全面且可行的見解。每份報告都包含幾個關鍵部分，以確保徹底了解市場格局：

市場概覽：市場的詳細介紹，包括定義、分類和行業現狀概述。

市場動態：深入分析影響市場成長的關鍵促進因素、限制因素、機會與挑戰。本節探討技術進步、監管變化和新興趨勢等因素。

細分分析：根據產品類型、應用、最終用戶和地理位置等標準將市場細分為不同的細分市場。該分析強調了每個部分的表現和潛力。

競爭格局：對主要市場參與者的全面評估，包括其市場佔有率、產品組合、策略舉措和財務表現。本節深入分析了領先公司的競爭動態和採用的關鍵策略。

市場預測：根據歷史資料和當前市場狀況，對特定時期內的市場規模和成長趨勢進行預測。這包括定量分析和圖形表示，以說明未來的市場軌跡。

區域分析：評估不同地理區域的市場表現，確定關鍵市場和區域趨勢。這有助於了解區域市場動態和機會。

新興趨勢與機會：識別當前和新興的市場趨勢、技術創新和潛在投資領域。本節提供了對未來市場發展和成長前景的見解。

簡介 - 市場動態
市場促進因素
市場限制
機會
產業趨勢
波特五力分析
市場吸引力分析
- 各組成部分的市場吸引力分析
- 按部署模式進行的市場吸引力分析
- 依企業規模進行市場吸引力分析
- 各產業市場吸引力分析
- 市場吸引力分析：按地區

第4章：價值鏈分析

價值鏈分析
原料分析
- 原料清單
- 原料製造商清單
- 主要原物料價格走勢
潛在買家名單
行銷管道
- 直效行銷
- 間接行銷
- 行銷通路發展趨勢

第5章：全球人工神經網路市場分析：按組件

按組件概覽
按組件進行的歷史和預測資料分析
解決方案
服務

第6章：全球人工神經網路市場分析：依部署模式

依部署模式概述
依部署模式進行歷史和預測資料分析
雲
本地部署

第7章：全球人工神經網路市場分析：依企業規模

按企業規模概覽
依企業規模進行歷史與預測資料分析
大型企業
中小企業

第8章：全球人工神經網路市場分析：依產業

行業概覽
按行業進行的歷史和預測數據分析
衛生保健
金融服務業
零售與電子商務
製造業
汽車
其他

第9章：全球人工神經網路市場分析：按地區

區域展望
介紹
北美銷售分析
- 概述、歷史和預測數據銷售分析
- 北美各細分市場銷售分析
- 北美各國銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概述、歷史和預測數據銷售分析
- 歐洲各細分市場銷售分析
- 歐洲各國銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概述、歷史和預測數據銷售分析
- 亞太地區分部銷售分析
- 亞太地區國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概述、歷史和預測數據銷售分析
- 拉丁美洲各細分市場銷售分析
- 拉丁美洲各國銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概述、歷史和預測數據銷售分析
- 中東和非洲分部銷售分析
- 中東和非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東和非洲其他地區銷售分析

第10章：人工神經網路公司的競爭格局

人工神經網路市場競爭
夥伴關係/合作/協議
併購
新產品發布
其他發展

第 11 章：公司簡介

頂級公司市佔率分析
市場集中度
Hewlett Packard Enterprise Development LP

公司概況
公司收入
產品
最新動態

Salesforce Inc.

公司概況
公司收入
產品
最新動態

IBM Corporation

公司概況
公司收入
產品
最新動態

Intel Corporation

公司概況
公司收入
產品
最新動態

Microsoft Corporation

公司概況
公司收入
產品
最新動態

Amazon Web Services Inc.

公司概況
公司收入
產品
最新動態

NVIDIA Corporation

公司概況
公司收入
產品
最新動態

Google Inc.

公司概況
公司收入
產品
最新動態

Qualcomm Technologies Inc.

公司概況
公司收入
產品
最新動態

Oracle Corporation

公司概況
公司收入
產品
最新動態

注意 - 在公司簡介中，財務細節和最新發展取決於可用性，對於私人公司，可能不予涵蓋

簡介目錄圖表

Product Code: VMR112113055

Global Artificial Neural Network Market size is anticipated to grow from USD 0.46 Billion in 2024 to USD 2.39 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 20.02% during the forecast period of 2026 to 2033.

The Artificial Neural Network (ANN) market is poised for significant expansion as industries increasingly leverage machine learning and deep learning technologies. With advancements in computational power and the proliferation of big data, ANNs are becoming integral to various applications, including image recognition, natural language processing, and predictive analytics. The growing demand for automation and intelligent systems across sectors such as healthcare, finance, and automotive is driving innovation, leading to the development of more sophisticated neural architectures that enhance performance and efficiency.

As organizations seek to harness the potential of artificial intelligence, the integration of ANNs into existing systems is becoming a strategic priority. This trend is further fueled by the rise of edge computing, which allows for real-time data processing and decision-making at the source. Consequently, businesses are investing in research and development to create tailored solutions that address specific industry challenges, thereby fostering a competitive landscape that encourages collaboration between technology providers and end-users. The emphasis on explainability and transparency in AI models is also shaping the future of ANNs, as stakeholders demand greater accountability in automated decision-making processes.

Looking ahead, the ANN market is expected to witness a surge in applications across emerging fields such as autonomous systems and smart cities. The convergence of ANNs with other technologies, such as the Internet of Things (IoT) and blockchain, will unlock new opportunities for innovation and efficiency. As organizations continue to prioritize digital transformation, the ability to leverage ANNs for enhanced insights and operational agility will be a key differentiator in the marketplace, positioning the ANN sector for sustained growth and relevance in the coming years.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Component

Solution
Services

By Deployment Mode

Cloud
On-premise

By Enterprise Size

Large Enterprises
SMEs

By Industry

Healthcare
BFSI
Retail and E-Commerce
Manufacturing
Automotive
Others
COMPANIES PROFILED
Hewlett Packard Enterprise Development LP
Salesforce Inc.
IBM Corporation
Intel Corporation
Microsoft Corporation
Amazon Web Services Inc.
NVIDIA Corporation
Google Inc.
Qualcomm Technologies Inc.
Oracle Corporation
The above list can be customized.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. ARTIFICIAL NEURAL NETWORK INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Poerter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Deployment Mode
- 3.7.3 Market Attractiveness Analysis By Enterprise Size
- 3.7.4 Market Attractiveness Analysis By Industry
- 3.7.5 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY COMPONENT

5.1. Overview By Component
5.2. Historical and Forecast Data Analysis By Component
5.3. Solution Historic and Forecast Sales By Regions
5.4. Services Historic and Forecast Sales By Regions

6. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY DEPLOYMENT MODE

6.1. Overview By Deployment Mode
6.2. Historical and Forecast Data Analysis By Deployment Mode
6.3. Cloud Historic and Forecast Sales By Regions
6.4. On-premise Historic and Forecast Sales By Regions

7. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY ENTERPRISE SIZE

7.1. Overview By Enterprise Size
7.2. Historical and Forecast Data Analysis By Enterprise Size
7.3. Large Enterprises Historic and Forecast Sales By Regions
7.4. SMEs Historic and Forecast Sales By Regions

8. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY INDUSTRY

8.1. Overview By Industry
8.2. Historical and Forecast Data Analysis By Industry
8.3. Healthcare Historic and Forecast Sales By Regions
8.4. BFSI Historic and Forecast Sales By Regions
8.5. Retail and E-Commerce Historic and Forecast Sales By Regions
8.6. Manufacturing Historic and Forecast Sales By Regions
8.7. Automotive Historic and Forecast Sales By Regions
8.8. Others Historic and Forecast Sales By Regions

9. GLOBAL ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS BY GEOGRAPHY

9.1. Regional Outlook
9.2. Introduction
9.3. North America Sales Analysis
- 9.3.1 Overview, Historic and Forecast Data Sales Analysis
- 9.3.2 North America By Segment Sales Analysis
- 9.3.3 North America By Country Sales Analysis
- 9.3.4 United States Sales Analysis
- 9.3.5 Canada Sales Analysis
- 9.3.6 Mexico Sales Analysis
9.4. Europe Sales Analysis
- 9.4.1 Overview, Historic and Forecast Data Sales Analysis
- 9.4.2 Europe By Segment Sales Analysis
- 9.4.3 Europe By Country Sales Analysis
- 9.4.4 United Kingdom Sales Analysis
- 9.4.5 France Sales Analysis
- 9.4.6 Germany Sales Analysis
- 9.4.7 Italy Sales Analysis
- 9.4.8 Russia Sales Analysis
- 9.4.9 Rest Of Europe Sales Analysis
9.5. Asia Pacific Sales Analysis
- 9.5.1 Overview, Historic and Forecast Data Sales Analysis
- 9.5.2 Asia Pacific By Segment Sales Analysis
- 9.5.3 Asia Pacific By Country Sales Analysis
- 9.5.4 China Sales Analysis
- 9.5.5 India Sales Analysis
- 9.5.6 Japan Sales Analysis
- 9.5.7 South Korea Sales Analysis
- 9.5.8 Australia Sales Analysis
- 9.5.9 South East Asia Sales Analysis
- 9.5.10 Rest Of Asia Pacific Sales Analysis
9.6. Latin America Sales Analysis
- 9.6.1 Overview, Historic and Forecast Data Sales Analysis
- 9.6.2 Latin America By Segment Sales Analysis
- 9.6.3 Latin America By Country Sales Analysis
- 9.6.4 Brazil Sales Analysis
- 9.6.5 Argentina Sales Analysis
- 9.6.6 Peru Sales Analysis
- 9.6.7 Chile Sales Analysis
- 9.6.8 Rest of Latin America Sales Analysis
9.7. Middle East & Africa Sales Analysis
- 9.7.1 Overview, Historic and Forecast Data Sales Analysis
- 9.7.2 Middle East & Africa By Segment Sales Analysis
- 9.7.3 Middle East & Africa By Country Sales Analysis
- 9.7.4 Saudi Arabia Sales Analysis
- 9.7.5 UAE Sales Analysis
- 9.7.6 Israel Sales Analysis
- 9.7.7 South Africa Sales Analysis
- 9.7.8 Rest Of Middle East And Africa Sales Analysis

10. COMPETITIVE LANDSCAPE OF THE ARTIFICIAL NEURAL NETWORK COMPANIES

10.1. Artificial Neural Network Market Competition
10.2. Partnership/Collaboration/Agreement
10.3. Merger And Acquisitions
10.4. New Product Launch
10.5. Other Developments

11. COMPANY PROFILES OF ARTIFICIAL NEURAL NETWORK INDUSTRY

11.1. Top Companies Market Share Analysis
11.2. Market Concentration Rate
11.3. Hewlett Packard Enterprise Development LP
- 11.3.1 Company Overview
- 11.3.2 Company Revenue
- 11.3.3 Products
- 11.3.4 Recent Developments
11.4. Salesforce Inc.
- 11.4.1 Company Overview
- 11.4.2 Company Revenue
- 11.4.3 Products
- 11.4.4 Recent Developments
11.5. IBM Corporation
- 11.5.1 Company Overview
- 11.5.2 Company Revenue
- 11.5.3 Products
- 11.5.4 Recent Developments
11.6. Intel Corporation
- 11.6.1 Company Overview
- 11.6.2 Company Revenue
- 11.6.3 Products
- 11.6.4 Recent Developments
11.7. Microsoft Corporation
- 11.7.1 Company Overview
- 11.7.2 Company Revenue
- 11.7.3 Products
- 11.7.4 Recent Developments
11.8. Amazon Web Services Inc.
- 11.8.1 Company Overview
- 11.8.2 Company Revenue
- 11.8.3 Products
- 11.8.4 Recent Developments
11.9. NVIDIA Corporation
- 11.9.1 Company Overview
- 11.9.2 Company Revenue
- 11.9.3 Products
- 11.9.4 Recent Developments
11.10. Google Inc.
- 11.10.1 Company Overview
- 11.10.2 Company Revenue
- 11.10.3 Products
- 11.10.4 Recent Developments
11.11. Qualcomm Technologies Inc.
- 11.11.1 Company Overview
- 11.11.2 Company Revenue
- 11.11.3 Products
- 11.11.4 Recent Developments
11.12. Oracle Corporation
- 11.12.1 Company Overview
- 11.12.2 Company Revenue
- 11.12.3 Products
- 11.12.4 Recent Developments