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市场调查报告书
商品编码
1565160

神经网路软体的全球市场

Neural Network Software
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 194 Pages | 商品交期: 最快1-2个工作天内

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简介目录

到 2030 年，全球神经网路软体市场将达到 4,816 亿美元

预计 2023 年全球神经网路软体市场规模为 749 亿美元，预计到 2030 年将达到 4,816 亿美元，2023 年至 2030 年复合年增长率为 30.5%。分析软体是本报告分析的细分市场之一，预计复合年增长率为 31.9%，到分析期结束时将达到 2,516 亿美元。在分析期间，资料探勘和归檔领域的复合年增长率预计为 29.9%。

美国市场预计将成长 219 亿美元，中国市场复合年增长率为 29.1%。

预计 2023 年美国神经网路软体市场规模将达 219 亿美元。中国作为世界第二大经济体，预计2030年市场规模将达706亿美元，2023-2030年分析期间复合年增长率为29.1%。其他值得注意的区域市场包括日本和加拿大，在分析期间预计复合年增长率分别为 27.1% 和 25.5%。在欧洲，德国预计复合年增长率为 20.9%。

全球神经网路软体市场趋势及驱动因素总结

什么是神经网路软体？

神经网路软体是指模拟人脑功能的程式和平台，让电脑辨识模式、从资料中学习并做出决策。这些系统对于人工智慧 (AI) 和机器学习 (ML) 应用至关重要，使它们能够处理大量资料并随着时间的推移提高效能。神经网路软体对于影像识别、自然语言处理 (NLP)、预测分析甚至自主决策等任务至关重要。透过模仿人类认知过程，它有助于自动化和增强金融、医疗保健、製造和零售等领域的复杂业务。

神经网路软体的变革力量在于它能够识别否则会被忽视的微妙关係和模式。例如，在医疗保健领域，可以分析医学影像以检测疾病的早期征兆，在金融领域，它可以预测市场趋势并识别非法贸易。随着全球产生的资料量持续呈指数级增长，神经网路软体对于希望获得更深入见解并改善决策流程的组织变得至关重要。

神经网路软体市场如何发展？

由于人工智慧和机器学习在各行业的日益采用，神经网路软体市场正在迅速扩大。该领域的主要趋势之一是神经网路软体和云端运算平台的整合。云端基础的神经网路提供了可扩展且易于使用的解决方案，允许各种规模的企业部署人工智慧模型，而无需广泛的基础设施。这一趋势使公司更容易在业务中利用高阶分析和预测建模，从而降低人工智慧实施的进入门槛。

此外，透过结合深度学习技术，神经网路软体变得越来越复杂。深度学习是机器学习的一个子集，涉及多层神经网络，可以进行更准确、更复杂的资料处理。这对于准确决策至关重要的领域尤其重要，例如自动驾驶汽车、语音助理和机器人。另一个趋势是开发需要更少训练资料和运算能力的神经网路模型，从而实现更有效率、更具成本效益的人工智慧应用。

哪些产业正在引领神经网路软体的采用？

多个行业正在引领神经网路软体的采用，每个行业都找到了自己的使用案例。在医疗保健领域，神经网路用于诊断目的、药物发现和个人化治疗计划。由神经网路支援的医学影像分析正在彻底改变癌症等疾病的早期检测，而人工智慧主导的工具正在帮助预测患者预后并优化治疗通讯协定。在金融领域，神经网路软体用于演算法交易、风险评估和诈欺检测。透过分析历史资料和市场指标，神经网路可以提供预测性见解，为金融机构提供竞争优势。

在製造领域，神经网路软体用于预测性维护、品管和流程最佳化。透过分析机器感测器资料，神经网路可以提前预测设备故障，最大限度地减少停机时间并降低营运成本。在零售领域，神经网路软体透过个人化建议、库存管理和需求预测在改善客户体验方面发挥着至关重要的作用。随着产业变得数位化，神经网路软体的应用不断扩大，为效率和创新创造了新的机会。

神经网路软体市场的主要成长动力是什么？

神经网路软体市场的成长受到多种因素的推动。巨量资料的兴起是主要驱动力之一，因为组织寻求理解它们产生的大量资讯。神经网路软体具有模式识别和预测功能，​​在从巨量资料中提取可操作的见解方面具有独特的优势。另一个关键驱动因素是对人工智慧驱动的应用程式的需求不断增长，从自主系统到智慧家庭设备，这些应用程式严重依赖神经网路来高效运作。

计算硬件，特别是图形处理单元 (GPU) 和张量处理单元 (TPU) 的进步，也加速了神经网路软体的采用。这些专用处理器提高了神经网路的效能，使它们能够更快地训练并处理更大的资料集。此外，合规性和风险管理至关重要的领域（例如医疗保健和金融）的监管变化正在推动神经网路软体的使用，以满足这些严格的要求。人工智慧研发的持续创新进一步推动了企业对神经网路软体的需求，以保持竞争力并适应不断发展的技术环境。

受访企业范例（共42家）

  • Alyuda Research, LLC
  • GMDH LLC
  • Google LLC
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Neural Technologies Limited
  • NeuralWare
  • Oracle Corporation
  • Qualcomm Technologies, Inc.
  • SAP SE
  • Slagkryssaren Ab
  • Starmind International AG
  • Ward Systems Group, Inc.

目录

第一章调查方法

第 2 章执行摘要

  • 市场概况
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他领域

第四章 比赛

简介目录
Product Code: MCP13572

Global Neural Network Software Market to Reach US$481.6 Billion by 2030

The global market for Neural Network Software estimated at US$74.9 Billion in the year 2023, is expected to reach US$481.6 Billion by 2030, growing at a CAGR of 30.5% over the analysis period 2023-2030. Analytical Software, one of the segments analyzed in the report, is expected to record a 31.9% CAGR and reach US$251.6 Billion by the end of the analysis period. Growth in the Data Mining & Archiving segment is estimated at 29.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$21.9 Billion While China is Forecast to Grow at 29.1% CAGR

The Neural Network Software market in the U.S. is estimated at US$21.9 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$70.6 Billion by the year 2030 trailing a CAGR of 29.1% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 27.1% and 25.5% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 20.9% CAGR.

Global Neural Network Software Market - Key Trends & Drivers Summarized

What Is Neural Network Software and Why Is It Transformative?

Neural network software refers to programs and platforms that simulate human brain functions, enabling computers to recognize patterns, learn from data, and make decisions. These systems are integral to artificial intelligence (AI) and machine learning (ML) applications, where they can process vast amounts of data and improve performance over time. Neural network software is essential for tasks such as image recognition, natural language processing (NLP), predictive analytics, and even autonomous decision-making. By mimicking human cognitive processes, this software helps automate and enhance complex operations in sectors like finance, healthcare, manufacturing, and retail.

The transformative power of neural network software lies in its ability to identify subtle relationships and patterns that would otherwise go unnoticed. In healthcare, for instance, it can analyze medical images to detect early signs of diseases, while in finance, it can predict market trends or identify fraudulent transactions. As the amount of data generated globally continues to grow exponentially, neural network software has become crucial for organizations looking to gain deeper insights and improve their decision-making processes.

How Is the Neural Network Software Market Evolving?

The neural network software market has seen rapid expansion driven by the increasing adoption of AI and machine learning across industries. One of the key trends in this space is the integration of neural network software with cloud computing platforms. Cloud-based neural networks offer scalable and accessible solutions, allowing businesses of all sizes to deploy AI models without the need for extensive infrastructure. This trend has made it easier for companies to leverage advanced analytics and predictive modeling in their operations, reducing barriers to entry for AI adoption.

Additionally, neural network software is becoming more sophisticated with the incorporation of deep learning techniques. Deep learning, a subset of machine learning, involves neural networks with many layers, enabling more accurate and complex data processing. This has been particularly important in fields like autonomous vehicles, voice assistants, and robotics, where precise decision-making is critical. The development of neural network models that require less training data and computational power is another trend, allowing for more efficient and cost-effective AI applications.

Which Industries Are Leading the Adoption of Neural Network Software?

Several industries are driving the adoption of neural network software, with each sector finding unique use cases for the technology. In healthcare, neural networks are being used for diagnostic purposes, drug discovery, and personalized treatment plans. Medical imaging analysis, powered by neural networks, has revolutionized early detection of conditions like cancer, while AI-driven tools assist in predicting patient outcomes and optimizing treatment protocols. In finance, neural network software is used for algorithmic trading, risk assessment, and fraud detection. By analyzing historical data and market indicators, neural networks can provide predictive insights that give financial institutions a competitive edge.

Manufacturing companies are utilizing neural network software for predictive maintenance, quality control, and process optimization. By analyzing sensor data from machinery, neural networks can predict equipment failures before they happen, minimizing downtime and reducing operational costs. In the retail sector, neural network software plays a pivotal role in enhancing the customer experience through personalized recommendations, inventory management, and demand forecasting. As industries continue to digitize, the applications of neural network software are broadening, creating new opportunities for efficiency and innovation.

What Are the Key Growth Drivers for the Neural Network Software Market?

The growth in the neural network software market is driven by several factors. The rise of big data is one of the primary drivers, as organizations seek to make sense of the vast amounts of information they generate. Neural network software, with its pattern recognition and predictive capabilities, is uniquely positioned to extract actionable insights from big data. Another key driver is the increasing demand for AI-powered applications, ranging from autonomous systems to smart home devices, which rely heavily on neural networks to function efficiently.

The advancement of computing hardware, particularly in the form of graphics processing units (GPUs) and tensor processing units (TPUs), has also accelerated the adoption of neural network software. These specialized processors enhance the performance of neural networks, allowing them to train faster and process larger datasets. Additionally, regulatory changes in sectors like healthcare and finance, where compliance and risk management are critical, are encouraging the use of neural network software to meet these stringent requirements. The continuous innovation in AI research and development further fuels the demand for neural network software as organizations look to stay competitive and adapt to evolving technological landscapes.

Select Competitors (Total 42 Featured) -

  • Alyuda Research, LLC
  • GMDH LLC
  • Google LLC
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Neural Technologies Limited
  • NeuralWare
  • Oracle Corporation
  • Qualcomm Technologies, Inc.
  • SAP SE
  • Slagkryssaren Ab
  • Starmind International AG
  • Ward Systems Group, Inc.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Global Economic Update
    • Neural Network Software - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Growing Demand for Advanced Machine Learning and AI Capabilities Spurs Adoption of Neural Network Software in Various Industries
    • Expansion of Big Data Analytics Propels the Use of Neural Networks for Improved Data Processing and Pattern Recognition
    • Integration of Neural Network Software in Predictive Maintenance Strengthens Business Case for Industrial IoT Applications
    • Increasing Adoption of Neural Network Algorithms in Financial Services Drives Demand for Fraud Detection and Risk Management Solutions
    • Surge in Demand for Neural Network-Based Image and Speech Recognition Expands Market Opportunities in Healthcare and Retail
    • Growing Use of Neural Networks in Autonomous Vehicles and Robotics Fuels Market Growth Across Automotive and Manufacturing Sectors
    • Rising Adoption of Neural Network Software for Personalized Marketing and Customer Segmentation Expands Opportunities in E-commerce
    • Growing Investments in AI-Powered Drug Discovery and Genomic Research Drive Adoption of Neural Network Software in Biotechnology
    • Proliferation of Deep Learning Technologies and Neural Network Applications in Natural Language Processing Spurs Growth of AI Chatbots and Virtual Assistants
    • Increased Use of Neural Network Software for Algorithmic Trading and Financial Forecasting Expands Adoption in the Financial Sector
    • Advancements in GPU and Hardware Acceleration Technology Propel the Performance of Neural Network Software in AI and Deep Learning Applications
    • Growing Integration of Neural Networks in Edge Computing Expands Addressable Market for Real-Time Data Analytics and IoT Applications
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Neural Network Software Market Analysis of Annual Sales in US$ Million for Years 2014 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Neural Network Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 3: World 7-Year Perspective for Neural Network Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2024 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Analytical Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 5: World 7-Year Perspective for Analytical Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Data Mining & Archiving by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 7: World 7-Year Perspective for Data Mining & Archiving by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Optimization Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 9: World 7-Year Perspective for Optimization Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Visualization Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 11: World 7-Year Perspective for Visualization Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2024 (E)
    • TABLE 12: USA Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 13: USA 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • CANADA
    • TABLE 14: Canada Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 15: Canada 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • JAPAN
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2024 (E)
    • TABLE 16: Japan Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 17: Japan 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • CHINA
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2024 (E)
    • TABLE 18: China Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 19: China 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • EUROPE
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2024 (E)
    • TABLE 20: Europe Recent Past, Current & Future Analysis for Neural Network Software by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 21: Europe 7-Year Perspective for Neural Network Software by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2024 & 2030
    • TABLE 22: Europe Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 23: Europe 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • FRANCE
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2024 (E)
    • TABLE 24: France Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 25: France 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • GERMANY
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2024 (E)
    • TABLE 26: Germany Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 27: Germany 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • ITALY
    • TABLE 28: Italy Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 29: Italy 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • UNITED KINGDOM
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2024 (E)
    • TABLE 30: UK Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 31: UK 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • REST OF EUROPE
    • TABLE 32: Rest of Europe Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 33: Rest of Europe 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • ASIA-PACIFIC
    • Neural Network Software Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2024 (E)
    • TABLE 34: Asia-Pacific Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 35: Asia-Pacific 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030
  • REST OF WORLD
    • TABLE 36: Rest of World Recent Past, Current & Future Analysis for Neural Network Software by Type - Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 37: Rest of World 7-Year Perspective for Neural Network Software by Type - Percentage Breakdown of Value Sales for Analytical Software, Data Mining & Archiving, Optimization Software and Visualization Software for the Years 2024 & 2030

IV. COMPETITION