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市場調查報告書
商品編碼
1565160

神經網路軟體的全球市場

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個工作天內

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簡介目錄

到 2030 年，全球神經網路軟體市場將達到 4,816 億美元

預計 2023 年全球神經網路軟體市場規模為 749 億美元，預計到 2030 年將達到 4,816 億美元，2023 年至 2030 年複合年成長率為 30.5%。分析軟體是本報告分析的細分市場之一，預計複合年成長率為 31.9%，到分析期結束時將達到 2,516 億美元。在分析期間，資料探勘和歸檔領域的複合年成長率預計為 29.9%。

美國市場預計將成長 219 億美元，中國市場複合年成長率為 29.1%。

預計 2023 年美國神經網路軟體市場規模將達 219 億美元。中國作為世界第二大經濟體，預計2030年市場規模將達706億美元，2023-2030年分析期間複合年成長率為29.1%。其他值得注意的區域市場包括日本和加拿大，在分析期間預計複合年成長率分別為 27.1% 和 25.5%。在歐洲，德國預計複合年成長率為 20.9%。

全球神經網路軟體市場趨勢及促進因素總結

什麼是神經網路軟體？

神經網路軟體是指模擬人腦功能的程式和平台，讓電腦辨識模式、從資料中學習並做出決策。這些系統對於人工智慧 (AI) 和機器學習 (ML) 應用至關重要，使它們能夠處理大量資料並隨著時間的推移提高效能。神經網路軟體對於影像識別、自然語言處理 (NLP)、預測分析甚至自主決策等任務至關重要。透過模仿人類認知過程，它有助於自動化和增強金融、醫療保健、製造和零售等領域的複雜業務。

神經網路軟體的變革力量在於它能夠識別否則會被忽視的微妙關係和模式。例如，在醫療保健領域，可以分析醫學影像以檢測疾病的早期徵兆，在金融領域，它可以預測市場趨勢並識別非法貿易。隨著全球產生的資料量持續呈指數級成長，神經網路軟體對於希望獲得更深入見解並改善決策流程的組織變得至關重要。

神經網路軟體市場如何發展？

由於人工智慧和機器學習在各行業的日益採用，神經網路軟體市場正在迅速擴大。該領域的主要趨勢之一是神經網路軟體和雲端運算平台的整合。雲端基礎的神經網路提供了可擴展且易於使用的解決方案，允許各種規模的企業部署人工智慧模型，而無需廣泛的基礎設施。這一趨勢使公司更容易在業務中利用高階分析和預測建模，從而降低人工智慧實施的進入門檻。

此外，透過結合深度學習技術，神經網路軟體變得越來越複雜。深度學習是機器學習的一個子集，涉及多層神經網路，可以進行更準確、更複雜的資料處理。這對於準確決策至關重要的領域尤其重要，例如自動駕駛汽車、語音助理和機器人。另一個趨勢是開發需要更少訓練資料和運算能力的神經網路模型，從而實現更有效率、更具成本效益的人工智慧應用。

哪些產業正在引領神經網路軟體的採用？

多個行業正在引領神經網路軟體的採用，每個行業都找到了自己的使用案例。在醫療保健領域，神經網路用於診斷目的、藥物發現和個人化治療計劃。由神經網路支援的醫學影像分析正在徹底改變癌症等疾病的早期檢測，而人工智慧主導的工具正在幫助預測患者預後並最佳化治療通訊協定。在金融領域，神經網路軟體用於演算法交易、風險評估和詐欺檢測。透過分析歷史資料和市場指標，神經網路可以提供預測性見解，為金融機構提供競爭優勢。

在製造領域，神經網路軟體用於預測性維護、品管和流程最佳化。透過分析機器感測器資料，神經網路可以提前預測設備故障，最大限度地減少停機時間並降低營運成本。在零售領域，神經網路軟體透過個人化建議、庫存管理和需求預測在改善客戶體驗方面發揮著至關重要的作用。隨著產業變得數位化，神經網路軟體的應用不斷擴大，為效率和創新創造了新的機會。

神經網路軟體市場的主要成長動力是什麼？

神經網路軟體市場的成長受到多種因素的推動。巨量資料的興起是主要驅動力之一，因為組織尋求理解它們產生的大量資訊。神經網路軟體具有模式識別和預測功能，​​在從巨量資料中提取可操作的見解方面具有獨特的優勢。另一個關鍵促進因素是對人工智慧驅動的應用程式的需求不斷成長，從自主系統到智慧家庭設備，這些應用程式嚴重依賴神經網路來高效運作。

計算硬體，特別是圖形處理單元 (GPU) 和張量處理單元 (TPU) 的進步，也加速了神經網路軟體的採用。這些專用處理器提高了神經網路的效能，使它們能夠更快地訓練並處理更大的資料集。此外，合規性和風險管理至關重要的領域（例如醫療保健和金融）的監管變化正在推動神經網路軟體的使用，以滿足這些嚴格的要求。人工智慧研發的持續創新進一步推動了企業對神經網路軟體的需求，以保持競爭力並適應不斷發展的技術環境。

受訪企業範例（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.

目錄

第1章調查方法

第 2 章執行摘要

  • 市場概況
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他領域

第4章 比賽

簡介目錄
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