查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1544083

全球深度学习市场

Deep Learning
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 292 Pages | 商品交期: 最快1-2个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

预计2030年全球深度学习市场将达到3,604亿美元

预计2023年全球深度学习市场规模为505亿美元，预计2030年将达3,604亿美元，2023年至2030年复合年增长率为32.4%。深度学习软体是本报告分析的细分市场之一，预计复合年增长率为 31.7%，到分析期结束时将达到 2000 亿美元。分析期内深度学习服务产业的复合年增长率预计为 34.9%。

美国市场预估成长137亿美元，中国复合年增长率30.8%

预计 2023 年美国深度学习市场规模将达 137 亿美元。中国作为全球第二大经济体，预计2030年市场规模将达531亿美元，2023-2030年分析期间复合年增长率为30.8%。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 29.0% 和 27.6%。在欧洲，德国预计复合年增长率为 22.2%。

全球深度学习市场趋势及驱动因素

什么是深度学习？

深度学习是机器学习的一个子集，它依赖于受大脑结构和功能启发的演算法，称为人工神经网路。深度学习旨在识别模式、解释资料和做出决策，处于各个领域推进人工智慧功能的最前沿。深度学习演算法允许电脑从资料中学习并随着时间的推移提高准确性，这与遵循明确指令来完成任务的传统程式设计不同。这种方法对于在语音辨识、影像分析和预测分析等复杂任务中实现重大突破至关重要。深度学习可以透过提高自动化程度、提高效率和释放新功能来改变产业，因为它可以在最少的人工干预下处理和分析大量资料。

为什么深度学习被称为人工智慧的革命？

深度学习对人工智慧的影响是巨大的，因为它解决了曾经被认为经典演算法无法克服的问题。深度学习的核心是自动化预测分析，使其更快、更准确。它在识别复杂模式至关重要的环境中大放异彩，例如翻译语言、诊断医疗状况和驾驶自动驾驶汽车。对深度学习模型每一层的更深入理解使这些系统能够以接近人类直觉的准确性理解资料。因此，由深度学习驱动的技术不仅越来越好，而且能力也呈指数级增长，扩大了以前无法企及的应用范围。

引入深度学习的挑战和限制是什么？

儘管深度学习具有潜力，但它仍然存在必须解决的重大挑战和限制。主要挑战之一是深度学习模型需要大量标记资料才能有效训练。取得和标记这些资料需要资源彙整且成本高昂。此外，深度学习模型通常被描述为“黑盒子”，因为它们的决策流程是不透明的，因此很难解释决策是如何做出的。在理解决策背后的基本原则很重要的应用中，这种缺乏透明度可能会出现问题，例如医疗诊断和司法决策。此外，深度学习需要大量的运算能力，尤其是训练复杂的模型时，这可能会导致能源消耗和营运成本增加。

深度学习市场成长的驱动力是什么？

深度学习市场的成长受到多种因素的推动，其中包括数位设备产生的资料的快速增加，这些数据是深度学习演算法的原材料。随着行业变得更加数位化，对能够提供对这些资料的洞察的人工智慧功能的需求不断增长。处理能力的技术进步（例如 GPU 和 TPU 等专用硬体）也透过减少训练模型的时间和成本，使深度学习变得更容易实现。此外，人工智慧应用越来越多地在医疗保健、汽车、金融和零售等各个领域得到采用，深度学习为个人化医疗、自动驾驶、自动化财务顾问和个人化购物体验等创新解决方案提供支援。 。最后，公共和私营部门对人工智慧研究和新兴企业的投资增加正在推动深度学习技术的创新和部署，确保市场的持续成长和转型。

调查企业举例（总合234家）

  • Adapteva, Inc.
  • Amazon Web Services, Inc.
  • Fujitsu Ltd.
  • General Vision
  • Google Cloud Platform
  • Graphcore Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Intel Corporation
  • KONIKU
  • Mellanox Technologies, Inc.
  • Micron Technology, Inc.
  • Microsoft Corporation
  • Mythic
  • NVIDIA Corporation
  • Qualcomm, Inc.
  • Samsung Electronics Co., Ltd.
  • Sensory, Inc.
  • Skymind, Inc.
  • Tenstorrent Inc.
  • Xilinx 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: MCP11484

Global Deep Learning Market to Reach US$360.4 Billion by 2030

The global market for Deep Learning estimated at US$50.5 Billion in the year 2023, is expected to reach US$360.4 Billion by 2030, growing at a CAGR of 32.4% over the analysis period 2023-2030. Deep Learning Software, one of the segments analyzed in the report, is expected to record a 31.7% CAGR and reach US$200.0 Billion by the end of the analysis period. Growth in the Deep Learning Services segment is estimated at 34.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$13.7 Billion While China is Forecast to Grow at 30.8% CAGR

The Deep Learning market in the U.S. is estimated at US$13.7 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$53.1 Billion by the year 2030 trailing a CAGR of 30.8% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 29.0% and 27.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 22.2% CAGR.

Global Deep Learning Market - Key Trends and Drivers Summarized

What Is Deep Learning and How Does It Shape Our Technological Landscape?

Deep learning, a subset of machine learning, relies on algorithms inspired by the structure and function of the brain called artificial neural networks. Designed to recognize patterns, interpret data, and make decisions, deep learning is at the forefront of advancing AI capabilities across various sectors. Unlike traditional programming, where tasks are completed according to explicit instructions, deep learning algorithms enable computers to learn from data, improving their accuracy over time. This approach has been pivotal in achieving significant breakthroughs in complex tasks such as speech recognition, image analysis, and predictive analytics. The ability of deep learning to process and analyze vast quantities of data with minimal human intervention is transforming industries by enhancing automation, increasing efficiency, and unlocking new capabilities.

Why Is Deep Learning Considered a Revolution in Artificial Intelligence?

Deep learning's impact on AI is profound because it solves problems that were once considered insurmountable with classical algorithms. At its core, deep learning automates predictive analytics, making it faster and more accurate. It excels in environments where the recognition of complex patterns is crucial, such as translating languages, diagnosing medical conditions, and driving autonomous vehicles. Each layer of a deep learning model builds an increased understanding, allowing these systems to make sense of data with a level of precision that mimics human intuition. As a result, technologies powered by deep learning are not just incrementally better; they are exponentially more capable, opening up a range of applications that were previously out of reach.

What Are the Challenges and Limitations of Implementing Deep Learning?

Despite its potential, deep learning comes with significant challenges and limitations that must be addressed. One of the main issues is the requirement for large amounts of labeled data to train deep learning models effectively. Acquiring and labeling this data can be resource-intensive and expensive. Additionally, deep learning models are often described as "black boxes" because their decision-making processes can be opaque, making it difficult to interpret how decisions are made. This lack of transparency can be problematic in applications where understanding the rationale behind decisions is critical, such as in medical diagnostics or judicial decision-making. Moreover, deep learning requires substantial computational power, particularly for training complex models, which can lead to increased energy consumption and higher operational costs.

What Drives the Growth in the Deep Learning Market?

The growth in the deep learning market is driven by several factors, including the exponential increase in data generated by digital devices, which provides the raw material for deep learning algorithms. As industries continue to digitize their operations, the demand for AI capabilities that can provide insights into this data is increasing. Technological advancements in processing power, such as GPUs and specialized hardware like TPUs, are also making deep learning more accessible by reducing the time and cost associated with training models. Additionally, there is growing adoption of AI applications across various sectors, including healthcare, automotive, finance, and retail, which rely on deep learning for innovative solutions such as personalized medicine, autonomous driving, automated financial advisors, and personalized shopping experiences. Finally, the increasing investment from both public and private sectors in AI research and startups is fueling innovation and deployment of deep learning technologies, ensuring continued growth and transformation of the market.

Select Competitors (Total 234 Featured) -

  • Adapteva, Inc.
  • Amazon Web Services, Inc.
  • Fujitsu Ltd.
  • General Vision
  • Google Cloud Platform
  • Graphcore Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Intel Corporation
  • KONIKU
  • Mellanox Technologies, Inc.
  • Micron Technology, Inc.
  • Microsoft Corporation
  • Mythic
  • NVIDIA Corporation
  • Qualcomm, Inc.
  • Samsung Electronics Co., Ltd.
  • Sensory, Inc.
  • Skymind, Inc.
  • Tenstorrent Inc.
  • Xilinx Inc.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Deep Learning - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
    • Global Economic Update
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Increasing Use of Deep Learning in Autonomous Vehicles Spurs Technological Innovations
    • Growing Demand for Image and Speech Recognition Enhances Deep Learning Deployments
    • Expansion of Natural Language Processing Applications Bolsters Market Growth
    • Growing Integration of AI in Healthcare Spurs Adoption of Deep Learning for Diagnostics
    • Rising Importance of Predictive Analytics in Business Operations Enhances Adoption
    • Expansion of Robotics and Automation Drives Deep Learning Market Growth
    • Increasing Adoption of Deep Learning in Financial Services for Fraud Detection
    • Increasing Use of Deep Learning in Edge Devices Enhances IoT Deployments
    • Innovations in Deep Learning for Drug Discovery and Genomics
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Recent Past, Current & Future Analysis for 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 2: World 7-Year Perspective for 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 3: World Recent Past, Current & Future Analysis for Services 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 4: World 7-Year Perspective for Services 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 5: World Recent Past, Current & Future Analysis for Hardware 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 6: World 7-Year Perspective for Hardware 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 7: World Recent Past, Current & Future Analysis for Image Recognition 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 8: World 7-Year Perspective for Image Recognition 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 9: World Recent Past, Current & Future Analysis for Signal Recognition 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 10: World 7-Year Perspective for Signal Recognition 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 11: World Recent Past, Current & Future Analysis for Data Mining 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 12: World 7-Year Perspective for Data Mining 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 13: World Recent Past, Current & Future Analysis for Other Applications 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 14: World 7-Year Perspective for Other Applications 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 15: World Recent Past, Current & Future Analysis for Security 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 16: World 7-Year Perspective for Security 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 17: World Recent Past, Current & Future Analysis for Marketing 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 18: World 7-Year Perspective for Marketing 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 19: World Recent Past, Current & Future Analysis for Retail 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 20: World 7-Year Perspective for Retail 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 21: World Recent Past, Current & Future Analysis for Manufacturing 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 22: World 7-Year Perspective for Manufacturing 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 23: World Recent Past, Current & Future Analysis for Automotive 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 24: World 7-Year Perspective for Automotive 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 25: World Recent Past, Current & Future Analysis for Other End-Uses 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 26: World 7-Year Perspective for Other End-Uses 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 27: World Deep Learning Market Analysis of Annual Sales in US$ Million for Years 2014 through 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Deep Learning 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 29: World 7-Year Perspective for Deep Learning 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

III. MARKET ANALYSIS

  • UNITED STATES
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2024 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 31: USA 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 33: USA 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 35: USA 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • CANADA
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 37: Canada 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 39: Canada 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 41: Canada 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • JAPAN
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2024 (E)
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 43: Japan 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 45: Japan 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 47: Japan 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • CHINA
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2024 (E)
    • TABLE 48: China Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 49: China 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 51: China 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 53: China 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • EUROPE
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2024 (E)
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 55: Europe 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 57: Europe 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 59: Europe 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Deep Learning 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 61: Europe 7-Year Perspective for Deep Learning by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2024 & 2030
  • FRANCE
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2024 (E)
    • TABLE 62: France Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 63: France 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 65: France 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 67: France 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • GERMANY
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2024 (E)
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 69: Germany 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 71: Germany 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 73: Germany 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • ITALY
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 75: Italy 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 77: Italy 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 79: Italy 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • UNITED KINGDOM
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2024 (E)
    • TABLE 80: UK Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 81: UK 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 83: UK 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 85: UK 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • REST OF EUROPE
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • ASIA-PACIFIC
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2024 (E)
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • REST OF WORLD
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 99: Rest of World 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 101: Rest of World 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 103: Rest of World 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030

IV. COMPETITION