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市场调查报告书
商品编码
1197708

神经网络软件市场 - 增长、趋势、COVID-19 影响和预测 (2023-2028)

Neural Network Software Market - Growth, Trends, and Forecasts (2023 - 2028)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

在预测期内，神经网络软件市场预计将以 35.2% 的复合年增长率註册。

主要亮点

  • 在人工智能发展的早期阶段根本没有考虑神经网络。 逐渐成为公认的、引领人工智能发展趋势的大规模算法。
  • 随着物联网和联网设备的引入，会生成大量结构化和非结构化数据，公司需要花费时间和精力来处理这些数据。 然而，新兴的分析工具弥补了这一差距并推动了对神经网络软件市场的需求。
  • 此外，在分析领域，预测性和规范性分析优于描述性分析的趋势正在推动神经网络软件市场的增长。 随着神经网络软件为任何应用程序提供完全定制，这种趋势正在蓬勃发展。
  • 全球各个领域工业自动化的进步正在推动机器学习的发展及其在几乎所有行业的应用。 然而，由于缺乏全球专业知识，对运营挑战的适应缓慢限制了市场增长。
  • 但是，神经网络软件的全球市场正在崛起。 许多挑战阻碍了进步。 典型的例子是熟练动作模式的解释、课程的同步和技术利用的延迟。 此外，只有少数人能够使用可以迫使他们实时参与、学习和调整的智能设备。
  • 神经网络软件市场正在全球扩张。 该行业能否进一步增长取决于许多因素。 这些可能性包括增强人工智能和提高大脑学习和识别模式以及同步智能行为的能力。 智能设备等现代技术有很多用途。 这些也是成长的机会。
  • COVID-19 爆发对大流行早期神经网络市场的增长产生了重大影响，因为世界上许多国家/地区广泛实施封锁以阻止病毒传播。. 然而，由于对地理数据和分析工具、各种基于云的预测解决方案的需求增加，预计神经网络领域将在大流行后復苏。

神经网络软件市场趋势

医疗保健领域的巨大增长

  • 医疗机构正在利用人工神经网络 (ANN) 以更低的成本改善医疗保健服务。 虽然人工神经网络在诊断中的应用是众所周知的，但它们在医疗保健管理决策中的应用也在增加。
  • 医疗保健具有復杂的数据环境。 肺部分割使用深度学习从其余解剖结构中分割肺部区域，以便准确地细化它们。 虽然骨骼评估是一个难以直接观察的领域，但深度学习可用于理解操作，帮助医生真正看到骨骼并做出决定。
  • IBM 在获取和数字化医疗保健数据（例如电子病历和 DNA 序列）方面取得了进展。建议有
  • 在处理如此庞大的数据时，神经网络软件还有助于提高标准计算机的性能。 英特尔已与飞利浦合作，在 X 射线和计算机断层扫描 (CT) 扫描上提供高性能和高效的深度学习推理，而无需 GPU 集群等加速器。 全球对人工智能的投资主要集中在垂直行业（AI+）、视觉、大数据、数据服务和智能机器人等领域。

北美市场份额最大

  • 北美是开发神经网络市场的最大地区。 不断增加的基础设施和研发正在推动对用于问题识别、预测和製定应用的神经网络软件的需求。
  • 美国是该地区技术最先进的国家，在 BFSI、国防、医疗保健和物流等行业拥有不断增长的市场。 神经网络软件在 BFSI 领域展示了颠覆性的性能，例如评估贷款申请和预测股票市场指数。
  • 例如，在纳斯达克股票价格预测中，发现具有 3 个隐藏层的网络是优化后的网络，在验证数据集上的准确率为 94.08%。
  • 此外，该地区继续保持其作为尖端技术早期采用者的声誉，重点是流程优化。 ADLINK Technology Inc. 采用英特尔的 OpenVino 集成机器学习工具来指导、识别、测量和检查製造过程。
  • 此外，该地区的汽车和製造业等行业正在大力投资部署人工智能以优化流程，从而增加神经网络软件市场的机会。

神经网络软件市场竞争对手分析

神经网络软件市场由 Intel 和 Nvidia 等几家公司主导。 儘管如此，儘管许多玩家开始根据最终用户提供具有定制功能的软件，但预计在预测期内仍将遵循类似的趋势。

2022 年 6 月，Qualcomm Technologies 将其当前一流的 AI 软件产品整合到一个名为 Qualcomm AI Stack 的软件包中，以进一步巩固其在 AI 和互联智能边缘领域的领导地位。 这将使 Qualcomm Technologies 的 OEM 客户和开发人员在 Qualcomm Technologies 的硬件上创建、优化和部署 AI 应用时，能够充分利用我们 Qualcomm AI Engine 的强大功能。

2022 年 10 月，IBM 宣布通过发布三个新库扩展其嵌入式 AI 软件产品组合。 这些库旨在让 IBM 生态系统中的合作伙伴、客户和开发人员能够更简单、更快速、更经济地创建和销售他们自己的 AI 驱动的解决方案。

其他福利。

  • Excel 格式的市场预测 (ME) 表
  • 三个月的分析师支持

内容

第一章介绍

  • 调查先决条件
  • 调查范围

第二章研究方法论

第 3 章执行摘要

第四章市场动态

  • 市场概览
  • 市场驱动力
    • 空间数据和分析工具的可用性
    • 对预测解决方案的需求不断扩大
  • 市场製约因素
    • 缺乏专业知识和其他运营挑战
  • 行业价值链分析
  • 行业吸引力 - 波特五力分析
    • 新进入者的威胁
    • 买方/消费者议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争公司之间的敌对关係

第 5 章市场细分

  • 通过申请
    • 欺诈检测
    • 硬件诊断
    • 财务预测
    • 图像优化
    • 其他应用
  • 按行业细分
    • BFSI
    • 医疗保健
    • 零售
    • 国防部
    • 媒体
    • 物流
    • 其他行业
  • 按地区
    • 北美
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 其他欧洲地区
    • 亚太地区
      • 中国
      • 韩国
      • 澳大利亚
      • 其他亚太地区
    • 世界其他地区

第六章竞争格局

  • 公司简介
    • IBM Corporation
    • NVIDIA Corporation
    • Intel Corporation
    • Microsoft Corporation
    • Clarifai Inc.
    • Alyuda Research LLC
    • Neural Technologies Ltd.
    • GMDH LLC
    • Neural Designer
    • Neuralware
    • AND Corporation
    • Swiftkey

第七章市场机会与未来趋势

第八章投资分析

简介目录
Product Code: 58819

The Neural Network Software Market is expected to register a CAGR of 35.2% during the forecast period.

Key Highlights

  • The artificial neural network was completely neglected in the early stage of artificial intelligence development. Gradually recognized and became a large-scale algorithm leading the artificial intelligence (AI_ development trend.
  • The adoption of IoT and connected devices generate vast structure and unstructured data available to the companies, which is tedious to process. Still, the emerging analytical tools covered the gap and drove the demand for the neural network software market.
  • Moreover, in the analytics field, the trend towards predictive and prescriptive analytics passing over descriptive analytics is driving the growth of the neural network software market. The trend is booming as the neural network software offers complete customization according to the application.
  • The increasing industrial automation across the sectors globally is boosting the development of machine learning and its applications in almost all industries. However, due to the lack of global expertise, slow adaptation to operational challenges restricts the market growth.
  • However, the global market for neural network software is increasing. Many challenges are standing in the way of advancement. Explaining clever movement patterns, lesson synchronization, and delayed technology use are typical examples of these obstacles. Additionally, only some have access to smart devices that could force them to participate, learn, and adjust in real time.
  • The market for neural network software is increasing globally. The ability of the sector to grow further depends on numerous factors. These possibilities include expanding artificial intelligence and enhancing the brain's capacity to learn and recognize patterns and synchronize with intelligent behaviors. The newest technology, like smart devices, has many different uses. These are the opportunities that encourage growth.
  • Due to the widespread use of lockdowns in numerous nations worldwide to stop the spread of the virus, the COVID-19 outbreak significantly impacted the neural network market growth during the initial stages of the pandemic. However, with the increase in demand for geographical data and analytical tools and various cloud-based & prediction solutions, the neural network sector is anticipated to recover post-pandemic.

Neural Network Software Market Trends

Healthcare Segment to Grow Significantly

  • Healthcare organizations are leveraging artificial neural networks (ANN) to improve care delivery at a reduced cost. Applications of ANN to diagnosis are well-known; however, it is increasingly used to inform healthcare management decisions.
  • Healthcare has a complex data environment. In lung segmentation, deep learning is used to segment a lung area from the rest of the anatomy so that it can be accurately refined. Whereas bone assessment is a challenging area for direct observation, deep learning is used to keep track of the maneuver, helping the physician actually to observe the bone and make decisions.
  • IBM suggested that with increasing capture and digitization of healthcare data such as electronic medical records and DNA sequences, healthcare organizations are taking advantage of analyzing large sets of routinely collected digital information to improve service and reduce costs.
  • Neural network software also helps improve the performance of the standard computer in dealing with such a vast amount of data. Intel teamed up with Philips to deliver high-performance, efficient deep-learning inference on x-rays and computed tomography (CT) scans without needing accelerators like GPU clusters. The global investment in AI is focused on the vertical industry (AI+), vision, big data, data service, and intelligent robotics.

North America to Hold the Largest Market Share

  • North America is the largest region for developing the Neural Networks market. Increasing infrastructure and Research and development have boosted the demand for Neural Networks software for problem recognition, forecasting, and formulation applications.
  • The United States is the most technologically advanced country in this region, with an increasing market for industries, like BFSI, Defense, Healthcare, and Logistics, among others. The neural network software has shown disruptive performance in the BFSI sector in evaluating loan applications and predicting the stock market index.
  • For instance, in the NASDAQ stock exchange rate prediction, it was discovered that a network with three hidden layers was the optimized network with an accuracy of 94.08% for the validation dataset.
  • Additionally, the region continues to uphold its reputation as an early user of cutting-edge technologies with a focus on process optimization.. ADLINK Technology Inc. adopted Intel's OpenVino for guidance, identification, gauging, and inspection of manufacturing processes by integrating machine learning tools.
  • Moreover, industries like Automotives and manufacturing in the region are heavily investing in adopting artificial intelligence for their process optimization, which increases the opportunity for the neural network software market.

Neural Network Software Market Competitor Analysis

A few players, like Intel and Nvidia, dominate the neural network software market. Still, the forecast period is expected to follow a similar trend throughout the forecast period even though many players are emerging for offering software with customization capability according to the end-user.

In June 2022, Qualcomm Technologies combined its current best-in-class AI software offerings into a single package, the Qualcomm AI Stack, to further its leadership in AI and connected intelligent edge. This will enable Qualcomm Technologies' OEM clients and developers to fully utilize the performance of our Qualcomm AI Engine when creating, optimizing, and deploying their AI applications on Qualcomm Technologies' hardware.

In October 2022, with the release of three new libraries, IBM announced an increase to its embeddable AI software portfolio. These libraries are intended to make it simpler, quicker, and more affordable for IBM Ecosystem partners, clients, and developers to create and market their own AI-powered solutions.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Availability of Spatial Data and Analytical Tools
    • 4.2.2 Increasing Demand for Predicting Solutions
  • 4.3 Market Restraints
    • 4.3.1 Lack of Expertise and Other Operational Challenges
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Fraud Detection
    • 5.1.2 Hardware Diagnostics
    • 5.1.3 Financial Forecasting
    • 5.1.4 Image Optimization
    • 5.1.5 Other Applications
  • 5.2 By End-user Vertical
    • 5.2.1 BFSI
    • 5.2.2 Healthcare
    • 5.2.3 Retail
    • 5.2.4 Defense Agencies
    • 5.2.5 Media
    • 5.2.6 Logistics
    • 5.2.7 Other End-user Verticals
  • 5.3 Geography
    • 5.3.1 North America
      • 5.3.1.1 United States
      • 5.3.1.2 Canada
    • 5.3.2 Europe
      • 5.3.2.1 United Kingdom
      • 5.3.2.2 Germany
      • 5.3.2.3 France
      • 5.3.2.4 Rest of Europe
    • 5.3.3 Asia-Pacific
      • 5.3.3.1 China
      • 5.3.3.2 South Korea
      • 5.3.3.3 Australia
      • 5.3.3.4 Rest of Asia-Pacific
    • 5.3.4 Rest of the World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 IBM Corporation
    • 6.1.2 NVIDIA Corporation
    • 6.1.3 Intel Corporation
    • 6.1.4 Microsoft Corporation
    • 6.1.5 Clarifai Inc.
    • 6.1.6 Alyuda Research LLC
    • 6.1.7 Neural Technologies Ltd.
    • 6.1.8 GMDH LLC
    • 6.1.9 Neural Designer
    • 6.1.10 Neuralware
    • 6.1.11 AND Corporation
    • 6.1.12 Swiftkey

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

8 INVESTMENT ANALYSIS