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深度學習市場：按類型、最終用戶、應用分類 - 2025-2030 年全球預測

Deep Learning Market by Type (Hardware, Services, Software), End-User (Agriculture, Automotive, Fintech), Application - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 184 Pages | 商品交期: 最快1-2個工作天內

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預計2023年深度學習市場規模為55.7億美元，預計2024年將達72.4億美元，複合年成長率為30.39%，2030年將達357.1億美元。

深度學習是人工智慧（AI）領域機器學習的一個子集，旨在透過從大量資料中學習來模擬人腦功能。它的應用範圍涵蓋消費性電子、醫療保健、汽車、金融和零售等多個領域，其支援影像識別和語音辨識、自然語言處理和複雜問題解決等任務的能力強調了它的需求。深度學習的最終用途非常廣泛，從改善零售業客戶服務的聊天機器人到汽車中的自動駕駛技術，再到醫療保健中的診斷工具，我將從根本上改變各行業的服務和業務效率。影響深度學習市場的主要成長要素包括資料生成的指數級成長、計算能力的進步以及人工智慧驅動的應用程式在多個領域的激增。總的來說，這些因素正在推動大量投資並刺激市場快速擴張。最新的潛在商機在於醫療保健等領域，深度學習正在為個人化醫療和預測分析以及詐欺偵測和演算法交易等金融服務帶來突破。利用這些機會的建議包括關注邊緣運算和基於人工智慧的網路安全創新，這些領域的需求正在迅速成長。然而，市場成長面臨實施成本高、資料隱私問題以及人工智慧專業知識的技能差距等限制。解決這些問題需要與教育機構建立夥伴關係，並將資源用於培訓和發展。挑戰還包括圍繞人工智慧引入的監管問題和道德考慮。業務成長的一個創新領域在於開發人工智慧模型，使人工智慧功能民主化，使它們可供中小型企業使用，並提供透明度和可解釋性。總體而言，市場是充滿活力和競爭的，其特點是技術快速發展，並且需要公司靈活應對新趨勢和監管情況。

主要市場統計
基準年[2023] 55.7億美元
預測年份 [2024] 72.4億美元
預測年份 [2030] 357.1億美元
複合年成長率（%） 30.39%

市場動態：揭示快速發展的深度學習市場的關鍵市場洞察

供給和需求的動態交互作用正在改變深度學習市場。了解這些不斷變化的市場動態可以幫助企業做出明智的投資決策、策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時也能幫助消費行為及其對製造業的影響。

  • 市場促進因素
    • 更多地採用雲端基礎的技術
    • 擴大人工智慧在以客戶為中心的服務中的應用
    • 增加在醫療保健、製造和汽車行業的應用
  • 市場限制因素
    • 缺乏靈活性和多任務處理
  • 市場機會
    • 快速入門自動駕駛技術
    • 神經網路架構和訓練演算法的最新趨勢
  • 市場挑戰
    • 缺乏技術專長、缺乏標準與通訊協定

波特五力：駕馭深度學習市場的策略工具

波特的五力架構是了解深度學習市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解深度學習市場的外部影響

外部宏觀環境因素在塑造深度學習市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助企業預測法規、消費者偏好和經濟趨勢的變化，並幫助他們做出積極主動的決策。

市場佔有率分析 了解深度學習市場的競爭狀況

對深度學習市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，以應對日益激烈的競爭。

FPNV定位矩陣深度學習市場廠商績效評估

FPNV定位矩陣是評估深度學習市場供應商的重要工具。此矩陣允許業務組織根據商務策略和產品滿意度評估供應商，從而做出與其目標相符的明智決策。這四個象限使您能夠清晰、準確地分類供應商，以確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析與建議 繪製您在深度學習市場的成功之路

深度學習市場的策略分析對於旨在加強其在全球市場的影響力的公司至關重要。透過考慮關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：詳細檢視當前市場環境、主要企業的廣泛資料、評估其在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 更多地採用雲端基礎的技術
      • 在以客戶為中心的服務中更多地採用人工智慧
      • 增加在醫療保健、製造和汽車行業的應用
    • 抑制因素
      • 缺乏靈活性和多任務處理
    • 機會
      • 快速介紹自動駕駛技術
      • 神經網路架構和訓練演算法的最新趨勢
    • 任務
      • 缺乏技術專長以及缺乏標準和通訊協定
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章深度學習市場：依類型

  • 硬體
    • 中央處理單元
    • 現場可程式閘陣列
    • 圖形處理單元
  • 服務
  • 軟體
    • 平台或API
    • 解決方案

第 7 章深度學習市場：依最終使用者分類

  • 農業
  • 車
  • 金融科技
  • 衛生保健
  • 人力資源
  • 法律
  • 製造業
  • 行銷
  • 零售
  • 安全

第 8 章深度學習市場：依應用分類

  • 資料探勘
  • 影像識別
  • 訊號識別

第9章美洲深度學習市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第10章亞太地區深度學習市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第11章歐洲、中東和非洲深度學習市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第12章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
  • 戰略分析和建議

公司名單

  • Advanced Micro Devices, Inc.
  • ARM Ltd.
  • Broadcom Corporation
  • CEVA Inc.
  • Clarifai, Inc.
  • Google LLC
  • Huawei Technologies
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Neurala
  • NVIDIA Corporation
  • OpenAI
  • Qualcomm Technologies, Inc
  • Samsung Group
  • Starmind
Product Code: MRR-742BD517D024

The Deep Learning Market was valued at USD 5.57 billion in 2023, expected to reach USD 7.24 billion in 2024, and is projected to grow at a CAGR of 30.39%, to USD 35.71 billion by 2030.

Deep learning, a subset of machine learning in the field of artificial intelligence (AI), is designed to simulate human brain function by learning from vast amounts of data. Its scope encompasses diverse sectors including consumer electronics, healthcare, automotive, finance, and retail, underlining its necessity due to its capacity to enhance tasks like image and speech recognition, natural language processing, and complex problem-solving. The end-use scope of deep learning is vast; from chatbots enhancing customer service in retail to autonomous driving technologies in automotive, and diagnostic tools in healthcare, its applications fundamentally transform services and operational efficiencies across industries. Key growth factors influencing the deep learning market include exponential growth in data generation, advances in computing power, and the surge in AI-driven applications across numerous sectors. These elements collectively drive substantial investment, fueling rapid market expansion. The latest potential opportunities lie in sectors like healthcare, where deep learning can lead to breakthroughs in personalized medicine and predictive analytics, and financial services for fraud detection and algorithmic trading. Recommendations to leverage these opportunities include focusing on innovation in edge computing and AI-powered cybersecurity, where demand is skyrocketing. Nonetheless, market growth faces limitations including high implementation costs, data privacy concerns, and a skills gap in AI expertise. Addressing these involves dedicating resources to training and development alongside fostering partnerships with educational institutions. Challenging factors also include regulatory challenges and ethical considerations surrounding AI deployment. Innovative areas for business growth lie in democratizing AI capabilities, making them accessible for small and mid-sized businesses, and developing AI models that offer transparency and explainability. Overall, the market is dynamic and competitive, characterized by rapid technological evolution and the need for companies to remain agile and responsive to emerging trends and regulatory landscapes.

KEY MARKET STATISTICS
Base Year [2023] USD 5.57 billion
Estimated Year [2024] USD 7.24 billion
Forecast Year [2030] USD 35.71 billion
CAGR (%) 30.39%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Deep Learning Market

The Deep Learning Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Increasing adoption of cloud-based technology
    • Growing AI adoption in customer centric services
    • Rising applications in healthcare, manufacturing, and automotive industries
  • Market Restraints
    • Lack of flexibility and multitasking
  • Market Opportunities
    • Rapid introduction of self-driving technology
    • Recent developments in neural network architecture and training algorithms
  • Market Challenges
    • Lack of technical expertise and absence of standards and protocols

Porter's Five Forces: A Strategic Tool for Navigating the Deep Learning Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Deep Learning Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Deep Learning Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Deep Learning Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Deep Learning Market

A detailed market share analysis in the Deep Learning Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Deep Learning Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Deep Learning Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Deep Learning Market

A strategic analysis of the Deep Learning Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Deep Learning Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., ARM Ltd., Broadcom Corporation, CEVA Inc., Clarifai, Inc., Google LLC, Huawei Technologies, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Neurala, NVIDIA Corporation, OpenAI, Qualcomm Technologies, Inc, Samsung Group, and Starmind.

Market Segmentation & Coverage

This research report categorizes the Deep Learning Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Type, market is studied across Hardware, Services, and Software. The Hardware is further studied across Central Processing Unit, Field Programmable Gate Array, and Graphics Processing Unit. The Software is further studied across Platform or API and Solutions.
  • Based on End-User, market is studied across Agriculture, Automotive, Fintech, Healthcare, Human Resources, Law, Manufacturing, Marketing, Retail, and Security.
  • Based on Application, market is studied across Data Mining, Image Recognition, and Signal Recognition.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing adoption of cloud-based technology
      • 5.1.1.2. Growing AI adoption in customer centric services
      • 5.1.1.3. Rising applications in healthcare, manufacturing, and automotive industries
    • 5.1.2. Restraints
      • 5.1.2.1. Lack of flexibility and multitasking
    • 5.1.3. Opportunities
      • 5.1.3.1. Rapid introduction of self-driving technology
      • 5.1.3.2. Recent developments in neural network architecture and training algorithms
    • 5.1.4. Challenges
      • 5.1.4.1. Lack of technical expertise and absence of standards and protocols
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Deep Learning Market, by Type

  • 6.1. Introduction
  • 6.2. Hardware
    • 6.2.1. Central Processing Unit
    • 6.2.2. Field Programmable Gate Array
    • 6.2.3. Graphics Processing Unit
  • 6.3. Services
  • 6.4. Software
    • 6.4.1. Platform or API
    • 6.4.2. Solutions

7. Deep Learning Market, by End-User

  • 7.1. Introduction
  • 7.2. Agriculture
  • 7.3. Automotive
  • 7.4. Fintech
  • 7.5. Healthcare
  • 7.6. Human Resources
  • 7.7. Law
  • 7.8. Manufacturing
  • 7.9. Marketing
  • 7.10. Retail
  • 7.11. Security

8. Deep Learning Market, by Application

  • 8.1. Introduction
  • 8.2. Data Mining
  • 8.3. Image Recognition
  • 8.4. Signal Recognition

9. Americas Deep Learning Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Deep Learning Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Deep Learning Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. FPNV Positioning Matrix, 2023
  • 12.3. Competitive Scenario Analysis
  • 12.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Advanced Micro Devices, Inc.
  • 2. ARM Ltd.
  • 3. Broadcom Corporation
  • 4. CEVA Inc.
  • 5. Clarifai, Inc.
  • 6. Google LLC
  • 7. Huawei Technologies
  • 8. Intel Corporation
  • 9. International Business Machines Corporation
  • 10. Microsoft Corporation
  • 11. Neurala
  • 12. NVIDIA Corporation
  • 13. OpenAI
  • 14. Qualcomm Technologies, Inc
  • 15. Samsung Group
  • 16. Starmind

LIST OF FIGURES

  • FIGURE 1. DEEP LEARNING MARKET RESEARCH PROCESS
  • FIGURE 2. DEEP LEARNING MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL DEEP LEARNING MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL DEEP LEARNING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL DEEP LEARNING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL DEEP LEARNING MARKET SIZE, BY TYPE, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL DEEP LEARNING MARKET SIZE, BY TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL DEEP LEARNING MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL DEEP LEARNING MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL DEEP LEARNING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL DEEP LEARNING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. AMERICAS DEEP LEARNING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 13. AMERICAS DEEP LEARNING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. UNITED STATES DEEP LEARNING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 15. UNITED STATES DEEP LEARNING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. DEEP LEARNING MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 21. DEEP LEARNING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. DEEP LEARNING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL DEEP LEARNING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL DEEP LEARNING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL DEEP LEARNING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. DEEP LEARNING MARKET DYNAMICS
  • TABLE 7. GLOBAL DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL DEEP LEARNING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL DEEP LEARNING MARKET SIZE, BY CENTRAL PROCESSING UNIT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL DEEP LEARNING MARKET SIZE, BY FIELD PROGRAMMABLE GATE ARRAY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL DEEP LEARNING MARKET SIZE, BY GRAPHICS PROCESSING UNIT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL DEEP LEARNING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL DEEP LEARNING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL DEEP LEARNING MARKET SIZE, BY PLATFORM OR API, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL DEEP LEARNING MARKET SIZE, BY SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL DEEP LEARNING MARKET SIZE, BY AGRICULTURE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL DEEP LEARNING MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL DEEP LEARNING MARKET SIZE, BY FINTECH, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL DEEP LEARNING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL DEEP LEARNING MARKET SIZE, BY HUMAN RESOURCES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL DEEP LEARNING MARKET SIZE, BY LAW, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL DEEP LEARNING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL DEEP LEARNING MARKET SIZE, BY MARKETING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL DEEP LEARNING MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL DEEP LEARNING MARKET SIZE, BY SECURITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL DEEP LEARNING MARKET SIZE, BY DATA MINING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL DEEP LEARNING MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL DEEP LEARNING MARKET SIZE, BY SIGNAL RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. AMERICAS DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 34. AMERICAS DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 35. AMERICAS DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 36. AMERICAS DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 37. AMERICAS DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 38. AMERICAS DEEP LEARNING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 39. ARGENTINA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 40. ARGENTINA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 41. ARGENTINA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 42. ARGENTINA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 43. ARGENTINA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 44. BRAZIL DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. BRAZIL DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 46. BRAZIL DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 47. BRAZIL DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 48. BRAZIL DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 49. CANADA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 50. CANADA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 51. CANADA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 52. CANADA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 53. CANADA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 54. MEXICO DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. MEXICO DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 56. MEXICO DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 57. MEXICO DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 58. MEXICO DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 59. UNITED STATES DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 60. UNITED STATES DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 61. UNITED STATES DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 62. UNITED STATES DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 63. UNITED STATES DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 64. UNITED STATES DEEP LEARNING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 65. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 66. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 67. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 68. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 69. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 70. ASIA-PACIFIC DEEP LEARNING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 71. AUSTRALIA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. AUSTRALIA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 73. AUSTRALIA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 74. AUSTRALIA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 75. AUSTRALIA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 76. CHINA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 77. CHINA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 78. CHINA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 79. CHINA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 80. CHINA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 81. INDIA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. INDIA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 83. INDIA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 84. INDIA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 85. INDIA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 86. INDONESIA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 87. INDONESIA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 88. INDONESIA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 89. INDONESIA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 90. INDONESIA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 91. JAPAN DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. JAPAN DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 93. JAPAN DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 94. JAPAN DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 95. JAPAN DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 96. MALAYSIA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 97. MALAYSIA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 98. MALAYSIA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 99. MALAYSIA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 100. MALAYSIA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. PHILIPPINES DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 102. PHILIPPINES DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 103. PHILIPPINES DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 104. PHILIPPINES DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 105. PHILIPPINES DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 106. SINGAPORE DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 107. SINGAPORE DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 108. SINGAPORE DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 109. SINGAPORE DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 110. SINGAPORE DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 111. SOUTH KOREA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 112. SOUTH KOREA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 113. SOUTH KOREA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 114. SOUTH KOREA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 115. SOUTH KOREA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 116. TAIWAN DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 117. TAIWAN DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 118. TAIWAN DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 119. TAIWAN DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 120. TAIWAN DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 121. THAILAND DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 122. THAILAND DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 123. THAILAND DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 124. THAILAND DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 125. THAILAND DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 126. VIETNAM DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 127. VIETNAM DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 128. VIETNAM DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 129. VIETNAM DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 130. VIETNAM DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 132. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 133. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 134. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 135. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 136. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 137. DENMARK DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 138. DENMARK DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 139. DENMARK DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 140. DENMARK DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 141. DENMARK DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 142. EGYPT DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 143. EGYPT DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 144. EGYPT DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 145. EGYPT DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 146. EGYPT DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 147. FINLAND DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 148. FINLAND DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 149. FINLAND DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 150. FINLAND DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 151. FINLAND DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 152. FRANCE DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 153. FRANCE DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 154. FRANCE DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 155. FRANCE DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 156. FRANCE DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 157. GERMANY DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 158. GERMANY DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 159. GERMANY DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 160. GERMANY DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 161. GERMANY DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 162. ISRAEL DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 163. ISRAEL DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 164. ISRAEL DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 165. ISRAEL DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 166. ISRAEL DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 167. ITALY DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 168. ITALY DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 169. ITALY DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 170. ITALY DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 171. ITALY DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 172. NETHERLANDS DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 173. NETHERLANDS DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 174. NETHERLANDS DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 175. NETHERLANDS DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 176. NETHERLANDS DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 177. NIGERIA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 178. NIGERIA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 179. NIGERIA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 180. NIGERIA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 181. NIGERIA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 182. NORWAY DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 183. NORWAY DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 184. NORWAY DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 185. NORWAY DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 186. NORWAY DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 187. POLAND DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 188. POLAND DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 189. POLAND DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 190. POLAND DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 191. POLAND DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 192. QATAR DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 193. QATAR DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 194. QATAR DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 195. QATAR DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 196. QATAR DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 197. RUSSIA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 198. RUSSIA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 199. RUSSIA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 200. RUSSIA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 201. RUSSIA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 202. SAUDI ARABIA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 203. SAUDI ARABIA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 204. SAUDI ARABIA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 205. SAUDI ARABIA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 206. SAUDI ARABIA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 207. SOUTH AFRICA DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 208. SOUTH AFRICA DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 209. SOUTH AFRICA DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 210. SOUTH AFRICA DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 211. SOUTH AFRICA DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 212. SPAIN DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 213. SPAIN DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 214. SPAIN DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 215. SPAIN DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 216. SPAIN DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 217. SWEDEN DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 218. SWEDEN DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 219. SWEDEN DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 220. SWEDEN DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 221. SWEDEN DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 222. SWITZERLAND DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 223. SWITZERLAND DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 224. SWITZERLAND DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 225. SWITZERLAND DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 226. SWITZERLAND DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 227. TURKEY DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 228. TURKEY DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 229. TURKEY DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 230. TURKEY DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 231. TURKEY DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 232. UNITED ARAB EMIRATES DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 233. UNITED ARAB EMIRATES DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 234. UNITED ARAB EMIRATES DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 235. UNITED ARAB EMIRATES DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 236. UNITED ARAB EMIRATES DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 237. UNITED KINGDOM DEEP LEARNING MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 238. UNITED KINGDOM DEEP LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 239. UNITED KINGDOM DEEP LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 240. UNITED KINGDOM DEEP LEARNING MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 241. UNITED KINGDOM DEEP LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 242. DEEP LEARNING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 243. DEEP LEARNING MARKET, FPNV POSITIONING MATRIX, 2023