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市場調查報告書
商品編碼
1641833
神經網路軟體：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）Neural Network Software - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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簡介目錄
預測期內，神經網路軟體市場預計將以 35.2% 的複合年成長率成長。
主要亮點
- 人工神經網路在人工智慧發展的早期階段被完全忽視。它逐漸得到認可，並成為引領人工智慧（AI）發展趨勢的大規模演算法。
- 物聯網和連網型設備的採用將產生大量資料。然而，新興的分析工具填補了這一空白並推動了神經網路軟體市場的需求。
- 此外，在分析領域，預測性和規範性分析（而非說明分析）的趨勢正在推動神經網路軟體市場的成長。這一趨勢是由神經網路軟體針對不同應用提供完全客製化功能所推動的。
- 全球工業自動化的提高正在推動機器學習及其在幾乎所有行業的應用的發展。然而，缺乏全球專業知識正在減緩適應營運挑戰的速度並限制市場成長。
- 然而，全球神經網路軟體市場正在擴大。許多挑戰阻礙著進步。解釋熟練的動作模式、同步課程和延遲使用技術是此類障礙的典型例子。此外，只有少數人能夠使用智慧型設備，迫使他們即時參與、學習和調整。
- 神經網路軟體市場正在全球擴張。該領域的進一步成長將取決於多種因素。這些可能性包括擴展人工智慧，增強大腦學習和識別模式並與智慧行為同步的能力。智慧型設備等現代技術有許多用途。這些都是促進成長的機會。
- 由於各國廣泛實施封鎖措施以遏制病毒傳播，COVID-19 疫情在疫情初期對神經網路市場的成長產生了重大影響。然而，由於對地理資料、分析工具和各種雲端基礎的預測解決方案的需求增加，神經網路領域預計將在疫情後復甦。
神經網路軟體市場趨勢
醫療保健產業強勁成長
- 醫療保健機構正在利用人工神經網路 (ANN) 來改善醫療服務並降低成本。 ANN 在診斷中的應用是眾所周知的，但它們也擴大用於醫療管理決策。
- 醫療保健擁有複雜的資料環境。肺分割使用深度學習來從其餘解剖結構中分割並精確細化肺部區域。雖然骨骼評估是一個難以直接觀察的領域，但深度學習可用於追蹤操作，幫助醫生實際觀察骨骼並做出決定。
- IBM 表示，隨著電子健康記錄和 DNA 序列等醫療保健資料收集數位化的進步，醫療機構正在尋求透過分析每天收集的大量數位資訊來改善服務並降低成本。
- 神經網路軟體也有助於提高標準電腦處理如此大量資料的效能。英特爾與飛利浦合作，為 X 光和電腦斷層掃描 (CT) 掃描的深度學習推理帶來高效能和效率，而無需 GPU叢集等加速器。全球人工智慧投資集中在垂直產業（AI+）、視覺、巨量資料、資訊服務、智慧機器人等領域。
北美佔有最大市場佔有率
- 北美是神經網路市場發展最大的地區。基礎設施和研發的不斷發展正在推動對問題識別、預測和製定應用的神經網路軟體的需求。
- 美國是該地區技術最先進的國家，其在銀行、金融服務、國防、醫療保健和物流等行業的市場正在成長。神經網路軟體在評估貸款申請和預測股票市場指數方面在 BFSI 領域表現出了顛覆性的性能。
- 例如，對於納斯達克股票價格預測，發現具有三個隱藏層的網路是最佳化網路，在檢驗資料集上的準確率為 94.08%。
- 此外，該地區繼續保持著作為專注於流程最佳化的最尖端科技的早期用戶的聲譽。凌華科技採用英特爾的 OpenVino，透過整合機器學習工具進行製造流程指導、識別、測量和檢查。
- 此外，該地區的汽車和製造業等行業正在大力投資採用人工智慧來最佳化流程，從而增加了神經網路軟體市場的機會。
神經網路軟體產業概況
神經網路軟體市場由英特爾和 Nvidia 等少數公司主導。儘管出現了許多根據最終用戶提供可自訂軟體的參與者，但預計同樣的趨勢仍將在整個預測期內持續下去。
2022 年 6 月，Qualcomm Technologies Inc.將目前一流的 AI 軟體整合為套件 Qualcomm AI Stack，進一步加強了其在 AI 和連網智慧邊緣領域的領導地位。這將使 Qualcomm Technologies 的OEM客戶和開發者在 Qualcomm Technologies 硬體上創建、最佳化和部署 AI 應用時能夠充分利用 Qualcomm AI Engines 的效能。
2022 年 10 月，IBM 宣布發布三個新庫，擴展其可嵌入式 AI 軟體產品組合。這些程式庫旨在讓 IBM 生態系統合作夥伴、客戶和開發人員能夠更簡單、更快速、更經濟地創建自己的 AI 解決方案並推向市場。
其他福利：
- Excel 格式的市場預測 (ME) 表
- 3 個月的分析師支持
目錄
第 1 章 簡介
- 調查前提條件
- 研究範圍
第2章調查方法
第3章執行摘要
第4章 市場動態
- 市場概況
- 市場促進因素
- 空間資料和分析工具的可用性
- 對預測解決方案的需求不斷增加
- 市場限制
- 缺乏專業知識和其他營運挑戰
- 產業價值鏈分析
- 產業吸引力－波特五力分析
- 新進入者的威脅
- 購買者/消費者的議價能力
- 供應商的議價能力
- 替代品的威脅
- 競爭對手之間的競爭強度
第5章 市場區隔
- 按應用
- 詐欺偵測
- 硬體診斷
- 財務預測
- 影像最佳化
- 其他用途
- 按行業
- BFSI
- 衛生保健
- 零售
- 防衛廳
- 媒體
- 後勤
- 其他最終用戶產業
- 按地區
- 北美洲
- 美國
- 加拿大
- 歐洲
- 英國
- 德國
- 法國
- 其他歐洲國家
- 亞太地區
- 中國
- 韓國
- 澳洲
- 其他亞太地區
- 世界其他地區
- 北美洲
第6章 競爭格局
- 公司簡介
- 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7章 市場機會與未來趨勢
第8章投資分析
簡介目錄
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 Industry Overview
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
- 5.3.1 North America
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
