神經網路軟體市場、機會、成長動力、產業趨勢分析與預測，2024-2032

Neural Network Software Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年07月04日 | 出版商:

Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3個工作天內

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簡介目錄

由於人工智慧和機器學習的創新，全球神經網路軟體市場從 2024 年到 2032 年的複合年成長率將達到 32%。演算法和技術的進步增強了神經網路的能力，從而實現更複雜和準確的資料分析。此外，運算能力的提高，例如更強大的 GPU 和 TPU，有助於這些高階模型的高效訓練和部署。這些技術進步共同推動了神經網路軟體在各行業的開發和採用，從而推動了市場擴張和創新。

例如，2024年4月，Plus推出了PlusVision，這是一款利用深度神經網路用於下一代車輛的人工智慧感知軟體。它增強了先進的安全系統和 ADAS 應用，並支援更高水準的車輛自主性。這意味著，隨著各行業尋求尖端技術來提高功能和性能，神經網路軟體市場正在迅速擴大，特別是在自動駕駛和智慧車輛系統等新興領域。

神經網路軟體產業根據類型、組件、行業和地區進行分類。

由於其多功能且強大的功能，到 2032 年，人工神經網路領域將經歷顯著的成長。人工神經網路模仿人腦功能，擅長執行模式辨識、資料分類、預測分析等任務。它們處理和學習大量資料的能力使其對於金融、醫療保健和技術等各行業的應用至關重要。隨著對先進智慧解決方案的需求不斷成長，人工神經網路領域持續推動市場大幅擴張。

在資料管理、網路最佳化和進階分析方面廣泛應用的推動下，到 2032 年，IT 和電信領域將累積可觀的收益。隨著網路基礎架構的複雜性不斷增加以及對高效資料處理的需求，神經網路軟體對於增強效能和預測能力至關重要。 IT 和電信產業利用這些技術來改善網路安全、客戶體驗和營運效率，從而推動該領域的顯著採用和市場成長。

受先進技術基礎設施和人工智慧高採用率的推動，到 2032 年，北美神經網路軟體市場將保持顯著佔有率。該地區受益於由科技公司、研究機構組成的強大生態系統，以及對創新和發展的高度重視。此外，對人工智慧和機器學習計劃的大量投資以及有利的監管環境也推動了市場成長。領先的行業參與者和蓬勃發展的技術社群的存在使北美成為神經網路軟體市場的重要貢獻者。

產業生態系統分析
供應商矩陣
技術和創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 消費者越來越青睞神經網路軟體解決方案
  - 神經網路軟體產品的持續創新和功能改進
  - 人工智慧 (AI) 和機器學習 (ML) 的快速採用
  - 可擴展雲端基礎架構的可用性
  - 自動駕駛汽車和高級駕駛輔助系統 (ADAS) 的開發
- 產業陷阱與挑戰
  - 複雜性和技能要求
  - 可解釋性和透明度
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按類型，2021 - 2032

主要趨勢
資料探勘與歸檔
分析軟體
最佳化軟體
視覺化軟體

第 6 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
人工神經網路
深度神經網路
服務
平台

第 7 章：市場估計與預測：按產業分類，2021 - 2032 年

主要趨勢
BFSI
資訊科技和電信
衛生保健
工業製造
媒體
其他

第 8 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 沙烏地阿拉伯
- 南非
- MEA 的其餘部分

第 9 章：公司簡介

Afiniti
Alyuda
Alyuda Research, LLC
GMDH
Google LLC
IBM Corporation
Intel Corporation
Lumivero
MicroEmbesys Technologies Pvt Ltd
Microsoft
Neural Technologies Limited
Neuralware
NVIDIA Corporation
Oracle
Qualcomm Technologies, Inc.
SAP
Slagkryssaren
Starmind
Swiftkey
Ward Systems

簡介目錄

Product Code: 10136

Global Neural Network Software Market will record a 32% CAGR from 2024 to 2032 due to innovations in AI and machine learning. Advances in algorithms and techniques enhance the capabilities of neural networks, enabling more complex and accurate data analysis. Also, improvements in computing power, such as more powerful GPUs and TPUs, facilitate the efficient training and deployment of these advanced models. These technological strides collectively boost the development and adoption of neural network software across various industries, thus fueling market expansion and innovation.

For instance, in April 2024, Plus introduced PlusVision, an AI perception software utilizing deep neural networks for next-generation vehicles. It enhances advanced safety systems and ADAS applications and supports higher levels of vehicle autonomy. It implies that the neural network software market is expanding rapidly as industries seek cutting-edge technologies to improve functionality and performance, particularly in emerging fields such as autonomous driving and smart vehicle systems.

The neural network software industry is segregated on the basis of type, component, industry, and region.

The artificial neural network segment will experience a noteworthy surge by 2032, attributed to its versatile and powerful capabilities. ANNs, mimicking human brain functions, excel in tasks such as pattern recognition, data classification, and predictive analytics. Their ability to process and learn from vast amounts of data makes them essential for applications across various industries, including finance, healthcare, and technology. As demand for advanced, intelligent solutions grows, the ANN segment continues to drive substantial market expansion.

The IT and telecom segment will accumulate sizable gains by 2032, propelled by its extensive applications in data management, network optimization, and advanced analytics. With the growing complexity of network infrastructures and the need for efficient data processing, neural network software is crucial for enhancing performance and predictive capabilities. The IT and telecom sectors leverage these technologies to improve network security, customer experiences, and operational efficiencies, driving significant adoption and market growth in this segment.

North America neural network software market will uphold a notable share through 2032, spurred by its advanced technological infrastructure and high adoption rates of artificial intelligence. The region benefits from a robust ecosystem of tech companies, research institutions, and a strong focus on innovation and development. In addition, ample investments in AI and machine learning initiatives, alongside favorable regulatory environments, drive market growth. The presence of leading industry players and a thriving tech community make North America a vital contributor to the neural network software market.

Chapter 1 Scope and Methodology

1.1 Market scope and definition
1.2 Base estimates and calculations
1.3 Forecast parameters
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360º synopsis, 2024 - 2032
2.2 Business trends
- 2.2.1 Total Addressable Market (TAM), 2024-2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Technology and innovation landscape
3.4 Patent analysis
3.5 Key news and initiatives
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 Growing preference for neural networks software solutions among consumers
  - 3.7.1.2 Continuous innovations and improved functionalities in neural networks software products
  - 3.7.1.3 Rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML)
  - 3.7.1.4 The availability of scalable cloud infrastructure
  - 3.7.1.5 Development of autonomous vehicles and Advanced Driver Assistance Systems (ADAS)
- 3.7.2 Industry pitfalls and challenges
  - 3.7.2.1 Complexity and skill requirements
  - 3.7.2.2 Interpretability and transparency
3.8 Growth potential analysis
3.9 Porter's analysis
- 3.9.1 Supplier power
- 3.9.2 Buyer power
- 3.9.3 Threat of new entrants
- 3.9.4 Threat of substitutes
- 3.9.5 Industry rivalry
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Company market share analysis
4.2 Competitive positioning matrix
4.3 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Type, 2021 - 2032 (USD Million)

5.1 Key trends
5.2 Data mining and archiving
5.3 Analytical software
5.4 Optimization software
5.5 Visualization software

Chapter 6 Market Estimates and Forecast, By Component, 2021 - 2032 (USD Million)

6.1 Key trends
6.2 Artificial neural network
6.3 Deep neural network
6.4 Services
6.5 Platforms

Chapter 7 Market Estimates and Forecast, By Industry, 2021 - 2032 (USD Million)

7.1 Key trends
7.2 BFSI
7.3 IT and telecom
7.4 Healthcare
7.5 Industrial manufacturing
7.6 Media
7.7 Others

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Rest of Latin America
8.6 MEA
- 8.6.1 UAE
- 8.6.2 Saudi Arabia
- 8.6.3 South Africa
- 8.6.4 Rest of MEA