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市场调查报告书

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1544601

神经网路软体市场、机会、成长动力、产业趋势分析与预测，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个工作天内

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简介目录

由于人工智慧和机器学习的创新，全球神经网路软体市场从 2024 年到 2032 年的复合年增长率将达到 32%。演算法和技术的进步增强了神经网路的能力，从而实现更复杂和准确的资料分析。此外，运算能力的提高，例如更强大的 GPU 和 TPU，有助于这些高阶模型的高效训练和部署。这些技术进步共同推动了神经网路软体在各行业的开发和采用，从而推动了市场扩张和创新。

例如，2024年4月，Plus推出了PlusVision，这是一款利用深度神经网路用于下一代车辆的人工智慧感知软体。它增强了先进的安全系统和 ADAS 应用，并支援更高水准的车辆自主性。这意味着，随着各行业寻求尖端技术来提高功能和性能，神经网路软体市场正在迅速扩大，特别是在自动驾驶和智慧车辆系统等新兴领域。

神经网路软体产业根据类型、组件、行业和地区进行划分。

由于其多功能且强大的功能，到 2032 年，人工神经网路领域将经历显着的成长。人工神经网路模仿人脑功能，擅长执行模式辨识、资料分类、预测分析等任务。它们处理和学习大量资料的能力使其对于金融、医疗保健和技术等各行业的应用至关重要。随着对先进智慧解决方案的需求不断增长，人工神经网路领域持续推动市场大幅扩张。

在资料管理、网路最佳化和进阶分析方面广泛应用的推动下，到 2032 年，IT 和电信领域将累积可观的收益。随着网路基础架构的复杂性不断增加以及对高效资料处理的需求，神经网路软体对于增强效能和预测能力至关重要。 IT 和电信产业利用这些技术来改善网路安全、客户体验和营运效率，从而推动该领域的显着采用和市场成长。

受先进技术基础设施和人工智慧高采用率的推动，到 2032 年，北美神经网路软体市场将保持显着份额。该地区受益于由科技公司、研究机构组成的强大生态系统，以及对创新和发展的高度重视。此外，对人工智慧和机器学习计划的大量投资以及有利的监管环境也推动了市场成长。领先的行业参与者和蓬勃发展的技术社群的存在使北美成为神经网路软体市场的重要贡献者。

产业生态系统分析
供应商矩阵
技术和创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 消费者越来越青睐神经网路软体解决方案
  - 神经网路软体产品的持续创新和功能改进
  - 人工智慧 (AI) 和机器学习 (ML) 的快速采用
  - 可扩展云端基础架构的可用性
  - 自动驾驶汽车和高级驾驶辅助系统 (ADAS) 的开发
- 产业陷阱与挑战
  - 复杂性和技能要求
  - 可解释性和透明度
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按类型，2021 - 2032

主要趋势
资料探勘与归檔
分析软体
最佳化软体
视觉化软体

第 6 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
人工神经网络
深度神经网络
服务
平台

第 7 章：市场估计与预测：按产业划分，2021 - 2032 年

主要趋势
BFSI
资讯科技和电信
卫生保健
工业製造
媒体
其他的

第 8 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 沙乌地阿拉伯
- 南非
- MEA 的其余部分

第 9 章：公司简介

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

简介目录

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

Chapter 9 Company Profiles

9.1 Afiniti
9.2 Alyuda
9.3 Alyuda Research, LLC
9.4 GMDH
9.5 Google LLC
9.6 IBM Corporation
9.7 Intel Corporation
9.8 Lumivero
9.9 MicroEmbesys Technologies Pvt Ltd
9.10 Microsoft
9.11 Neural Technologies Limited
9.12 Neuralware
9.13 NVIDIA Corporation
9.14 Oracle
9.15 Qualcomm Technologies, Inc.
9.16 SAP
9.17 Slagkryssaren
9.18 Starmind
9.19 Swiftkey
9.20 Ward Systems

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