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市场调查报告书
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深度学习市场：按类型、最终用户、应用划分 - 2025-2030 年全球预测

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个工作天内

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预计2023年深度学习市场规模为55.7亿美元，预计2024年将达72.4亿美元，复合年增长率为30.39%，2030年将达357.1亿美元。

深度学习是人工智慧（AI）领域机器学习的一个子集，旨在透过从大量资料中学习来模拟人脑功能。它的应用范围涵盖消费性电子、医疗保健、汽车、金融和零售等多个领域，其支援影像识别和语音辨识、自然语言处理和复杂问题解决等任务的能力强调了它的需求。深度学习的最终用途非常广泛，从改善零售业客户服务的聊天机器人到汽车中的自动驾驶技术，再到医疗保健中的诊断工具，我将从根本上改变各行业的服务和业务效率。影响深度学习市场的主要成长要素包括资料生成的指数级增长、计算能力的进步以及人工智慧驱动的应用程式在多个领域的激增。总的来说，这些因素正在推动大量投资并刺激市场快速扩张。最新的潜在商机在于医疗保健等领域，深度学习正在为个人化医疗和预测分析以及诈欺侦测和演算法交易等金融服务带来突破。利用这些机会的建议包括关注边缘运算和基于人工智慧的网路安全创新，这些领域的需求正在迅速增长。然而，市场成长面临实施成本高、资料隐私问题以及人工智慧专业知识的技能差距等限制。解决这些问题需要与教育机构建立伙伴关係，并将资源用于培训和发展。挑战还包括围绕人工智慧引入的监管问题和道德考虑。业务成长的一个创新领域在于开发人工智慧模型，使人工智慧功能民主化，使它们可供中小型企业使用，并提供透明度和可解释性。总体而言，市场是充满活力和竞争的，其特点是技术快速发展，并且需要公司灵活应对新趋势和监管情况。

主要市场统计
基准年[2023] 55.7亿美元
预测年份 [2024] 72.4亿美元
预测年份 [2030] 357.1亿美元
复合年增长率（%） 30.39%

市场动态：揭示快速发展的深度学习市场的关键市场洞察

供给和需求的动态交互作用正在改变深度学习市场。了解这些不断变化的市场动态可以帮助企业做出明智的投资决策、策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助消费行为及其对製造业的影响。

  • 市场驱动因素
    • 更多地采用云端基础的技术
    • 扩大人工智慧在以客户为中心的服务中的应用
    • 增加在医疗保健、製造和汽车行业的应用
  • 市场限制因素
    • 缺乏灵活性和多任务处理
  • 市场机会
    • 快速入门自动驾驶技术
    • 神经网路架构和训练演算法的最新趋势
  • 市场挑战
    • 缺乏技术专长、缺乏标准与通讯协定

波特五力：驾驭深度学习市场的策略工具

波特的五力架构是了解深度学习市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解深度学习市场的外部影响

外部宏观环境因素在塑造深度学习市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助企业预测法规、消费者偏好和经济趋势的变化，并帮助他们做出积极主动的决策。

市场占有率分析 了解深度学习市场的竞争状况

对深度学习市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，以应对日益激烈的竞争。

FPNV定位矩阵深度学习市场厂商绩效评估

FPNV定位矩阵是评估深度学习市场供应商的重要工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商，从而做出与其目标相符的明智决策。这四个象限使您能够清晰、准确地划分供应商，以确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析与建议 绘製您在深度学习市场的成功之路

深度学习市场的策略分析对于旨在加强其在全球市场的影响力的公司至关重要。透过考虑关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：详细检视当前市场环境、主要企业的广泛资料、评估其在市场中的影响力和整体影响力。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 更多地采用云端基础的技术
      • 在以客户为中心的服务中更多地采用人工智慧
      • 增加在医疗保健、製造和汽车行业的应用
    • 抑制因素
      • 缺乏灵活性和多任务处理
    • 机会
      • 快速介绍自动驾驶技术
      • 神经网路架构和训练演算法的最新趋势
    • 任务
      • 缺乏技术专长以及缺乏标准和通讯协定
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章深度学习市场：依类型

  • 硬体
    • 中央处理单元
    • 现场可程式闸阵列
    • 图形处理单元
  • 服务
  • 软体
    • 平台或API
    • 解决方案

第 7 章深度学习市场：依最终使用者划分

  • 农业
  • 车
  • 金融科技
  • 卫生保健
  • 人力资源
  • 法律
  • 製造业
  • 行销
  • 零售
  • 安全

第 8 章深度学习市场：依应用分类

  • 资料探勘
  • 影像识别
  • 讯号识别

第九章美洲深度学习市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十章亚太地区深度学习市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十一章欧洲、中东和非洲深度学习市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十二章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
  • 战略分析和建议

公司名单

  • 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