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市場調查報告書
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1544083

全球深度學習市場

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個工作天內

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簡介目錄

預計2030年全球深度學習市場將達到3,604億美元

預計2023年全球深度學習市場規模為505億美元,預計2030年將達3,604億美元,2023年至2030年複合年成長率為32.4%。深度學習軟體是本報告分析的細分市場之一,預計複合年成長率為 31.7%,到分析期結束時將達到 2000 億美元。分析期內深度學習服務產業的複合年成長率預計為 34.9%。

美國市場預估成長137億美元,中國複合年成長率30.8%

預計 2023 年美國深度學習市場規模將達 137 億美元。中國作為全球第二大經濟體,預計2030年市場規模將達531億美元,2023-2030年分析期間複合年成長率為30.8%。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 29.0% 和 27.6%。在歐洲,德國預計複合年成長率為 22.2%。

全球深度學習市場趨勢及促進因素

什麼是深度學習?

深度學習是機器學習的一個子集,它依賴於受大腦結構和功能啟發的演算法,稱為人工神經網路。深度學習旨在識別模式、解釋資料和做出決策,處於各個領域推進人工智慧功能的最前沿。深度學習演算法允許電腦從資料中學習並隨著時間的推移提高準確性,這與遵循明確指令來完成任務的傳統程式設計不同。這種方法對於在語音辨識、影像分析和預測分析等複雜任務中實現重大突破至關重要。深度學習可以透過提高自動化程度、提高效率和釋放新功能來改變產業,因為它可以在最少的人工干預下處理和分析大量資料。

為什麼深度學習被稱為人工智慧的革命?

深度學習對人工智慧的影響是巨大的,因為它解決了曾經被認為經典演算法無法克服的問題。深度學習的核心是自動化預測分析,使其更快、更準確。它在識別複雜模式至關重要的環境中大放異彩,例如翻譯語言、診斷醫療狀況和駕駛自動駕駛汽車。對深度學習模型每一層的更深入理解使這些系統能夠以接近人類直覺的準確性理解資料。因此,由深度學習驅動的技術不僅越來越好,而且能力也呈指數級成長,擴大了以前無法企及的應用範圍。

引入深度學習的挑戰和限制是什麼?

儘管深度學習具有潛力,但它仍然存在必須解決的重大挑戰和限制。主要挑戰之一是深度學習模型需要大量標記資料才能有效訓練。取得和標記這些資料需要資源彙整且成本高昂。此外,深度學習模型通常被描述為“黑盒子”,因為它們的決策流程是不透明的,因此很難解釋決策是如何做出的。在理解決策背後的基本原則很重要的應用中,這種缺乏透明度可能會出現問題,例如醫療診斷和司法決策。此外,深度學習需要大量的運算能力,尤其是訓練複雜的模型時,這可能會導致能源消耗和營運成本增加。

深度學習市場成長的驅動力是什麼?

深度學習市場的成長受到多種因素的推動,其中包括數位設備產生的資料的快速增加,這些數據是深度學習演算法的原料。隨著行業變得更加數位化,對能夠提供對這些資料的洞察的人工智慧功能的需求不斷成長。處理能力的技術進步(例如 GPU 和 TPU 等專用硬體)也透過減少訓練模型的時間和成本,使深度學習變得更容易實現。此外,人工智慧應用擴大在醫療保健、汽車、金融和零售等各個領域得到採用,深度學習為個人化醫療、自動駕駛、自動化財務顧問和個人化購物體驗等創新解決方案提供支援。 。最後,公共和私營部門對人工智慧研究和新興企業的投資增加正在推動深度學習技術的創新和部署,確保市場的持續成長和轉型。

調查企業舉例(總合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: 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