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市场调查报告书
商品编码
1840215

2025年深度学习全球市场报告

Deep Learning Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，深度学习市场呈指数级增长，从 2024 年的 247.1 亿美元增长到 2025 年的 340.8 亿美元，复合年增长率高达 37.9%。这段时期的成长得益于全球投资和资金筹措、自主系统的采用、对可解释性和可解读性的重视、生成模型的兴起以及边缘运算的发展。

预计未来几年深度学习市场将呈指数级增长，到2029年将达到1,419.3亿美元，年复合成长率（CAGR）为42.9%。预测期内的成长主要受以下因素驱动：全球经济和地缘政治因素、安全性和稳健性的提升、混合和整合学习方法、向新垂直行业的扩展以及医疗保健领域应用的提升。预测期内的主要趋势包括：增强人类能力、深度学习的量子运算、跨产业协作和开放原始码贡献、混合云端和多重云端部署、增强型电脑视觉应用，以及负责任的人工智慧和伦理考量。

深度学习是指一套包含一系列机器学习演算法的系统，它透过由多种非线性变换组成的架构对数据进行高级抽象建模，独立地执行工程活动，处理海量非结构化数据，并提供比传统机器学习更准确的结果。

深度学习的主要产品类型包括硬体、软体和服务。深度学习硬体是指用于实现架构和学习演算法的设备，尤其是那些利用人工神经网路的设备。它用于影像识别、讯号识别和资料探勘的开发和实施。深度学习解决方案广泛应用于各行各业，包括金融服务、保险和保险业、汽车、电信和媒体、零售、製造、医疗保健和其他终端用户。

2025年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

深度学习市场研究报告是商业研究公司（The Business Research Company）最新发布的系列报告之一，提供深度学习市场统计数据，例如深度学习行业的全球市场规模、各地区市场份额、各竞争对手的深度学习市场份额、深度学习细分市场的详细情况、市场趋势和商业机会。这份深度学习市场研究报告对行业现状和未来发展进行了详细分析，为您提供了全面概览，涵盖了您需要了解的所有内容。

未来五年42.9%的成长预测，较我们先前对该市场的预测略有下降0.5%。这一下降主要源自于美国与其他国家之间关税的影响。对外国製造的GPU和AI加速器晶片征收关税可能会增加国内复杂模型的训练成本，从而减缓深度学习领域的发展。由于互惠关税以及不断升级的贸易紧张局势和限制措施对全球经济和贸易的负面影响，其影响也将更加广泛。

云端基础服务的日益普及，对深度学习市场的成长贡献巨大。云端基础服务已取得显着进展，如今已为企业提供透过云端基础经营整个业务的能力。因此，企业越来越有信心将营运从本地迁移到云端基础云端处理发现，超过 74% 的企业认为云端处理赋予了他们超越竞争对手的竞争优势。因此，预计在预测期内，云端基础服务的日益普及将增加深度学习市场的需求。

自动驾驶汽车日益增长的需求预计将推动深度学习市场的发展。自动驾驶汽车是指开启自动驾驶技术后能够自动驾驶或导航的车辆。深度学习演算法凭藉其处理大量数据和适应复杂环境的能力，对于自动驾驶汽车感知周围环境、识别物体并做出瞬间决策至关重要，最终将加速自动驾驶汽车的开发和普及。例如，根据美国管理顾问公司麦肯锡预测，到2035年，自动驾驶汽车可望创造3,000亿至4,000亿美元的收入。因此，日益增长的自动驾驶汽车需求正在推动线传市场的成长。

产品创新是云端迁移服务市场的一大趋势。该领域的主要企业正专注于开发新产品创新，以巩固其市场地位。例如，DXC Technology 宣布其云端服务将于 2022 年进行重大升级，尤其是其「按使用付费」的云端消费模式。这项服务旨在满足客户对灵活且可扩展的云端解决方案不断变化的需求，允许企业根据实际使用情况支付云端资源费用，类似于公用事业收费计费系统。 DXC 的 Cloud Right™ 策略对于协助大型企业现代化至关重要，该策略专注于优化云端架构和 IT 环境，同时最大限度地降低风险并提高效能。

深度学习市场涵盖使用人工智慧和先进机器人技术模拟人类思维并执行只有人类才能完成的任务的营业单位所产生的收益。市场价值还包括服务提供者销售或包含在服务产品中的相关商品的价值。仅包括营业单位之间交易或销售给最终消费者的商品和服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球深度学习：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球深度学习市场：成长率分析
  • 全球深度学习市场表现：规模与成长，2019-2024
  • 全球深度学习市场预测：2024-2029 年及 2034 年规模与成长
  • 全球深度学习：总潜在市场（TAM）

第六章 市场细分

  • 全球深度学习市场：依产品、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 硬体
  • 软体
  • 服务
  • 全球深度学习市场：按应用、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 影像识别
  • 讯号识别
  • 资料探勘
  • 全球深度学习市场：按最终用户、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • BFSI
  • 车
  • 通讯与媒体
  • 零售
  • 製造业
  • 卫生保健
  • 其他最终用户
  • 全球深度学习市场：按硬体（类型）、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • GPU（图形处理单元）
  • TPU（张量处理单元）
  • ASIC（专用积体电路）
  • 边缘设备
  • 全球深度学习市场：按软体类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 深度学习框架
  • 模型训练与开发工具
  • 资料管理和预处理工具
  • 部署和监控软体
  • 全球深度学习市场：按服务类型、表现和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 培训和教育服务
  • 託管服务
  • 支援和维护服务

第七章 区域和国家分析

  • 全球深度学习市场：按地区、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球深度学习市场：按国家、表现和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 深度学习市场：竞争格局
  • 深度学习市场：公司简介
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Advanced Micro Devices Inc.
  • Cerebras Systems Inc.
  • Mythic
  • Sensory Inc.
  • H2O. ai
  • KNIME（Konstanz Information Miner）
  • Dataiku
  • Databricks Inc.
  • Veritone Inc.
  • DataRobot Inc.
  • SoundHound AI
  • Unity Technologies
  • Interactions LLC
  • Heartflow Inc.
  • Imandra Inc.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029 年深度学习市场：提供新机会的国家
  • 2029 年深度学习市场：细分领域带来新机会
  • 2029 深度学习市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r21347u

Deep learning refers to a system with a collection of machine learning algorithms that models high-level abstractions in data through an architecture consisting of multiple non-linear transformations, carries out engineering activities on their own, processes a huge volume of unstructured data, and offers precise results compared to traditional machine learning. Deep

The main type of products in deep learning includes hardware, software, and services. Deep learning hardware refers to devices that are used to implement architectures and learning algorithms, particularly those that take advantage of artificial neural networks. They are in the development and implementation of image recognition, signal recognition, and data mining activities. The deep learning solutions are used in industries ranging from BFSI, automotive, telecom and media, retail, manufacturing, healthcare, and other end, users.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The deep learning market research report is one of a series of new reports from The Business Research Company that provides deep learning market statistics, including deep learning industry global market size, regional shares, competitors with a deep learning market share, detailed deep learning market segments, market trends and opportunities, and any further data you may need to thrive in the deep learning industry. This deep learning market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The deep learning market size has grown exponentially in recent years. It will grow from $24.71 billion in 2024 to $34.08 billion in 2025 at a compound annual growth rate (CAGR) of 37.9%. The growth in the historic period can be attributed to global investments and funding, adoption in autonomous systems, focus on explain ability and interpretability, emergence of generative models, growth of edge computing.

The deep learning market size is expected to see exponential growth in the next few years. It will grow to $141.93 billion in 2029 at a compound annual growth rate (CAGR) of 42.9%. The growth in the forecast period can be attributed to global economic and geopolitical factors, security and robustness improvements, hybrid and federated learning approaches, expansion into new industry verticals, increasing adoption in healthcare. Major trends in the forecast period include augmentation of human abilities, quantum computing for deep learning, cross-industry collaborations and open source contributions, hybrid cloud and multi-cloud deployments, enhanced computer vision applications, responsible ai and ethical considerations.

The forecast of 42.9% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. The deep learning space may experience slowdowns as tariffs on foreign-built GPUs and AI accelerator chips raise the cost of training complex models domestically. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

Increasing adoption of cloud-based services is significantly contributing to the growth of the deep learning market. Cloud-based services have advanced significantly, to the point that they can now provide enterprises with the ability to run their whole business through their cloud-based platforms. As a result, businesses are increasingly convinced that transferring their tasks from on-premises to cloud-based frameworks. For instance, according to a report by Harvard Business Review Analytic Services on cloud computing, over 74% of organizations believe that cloud computing gives them a competitive advantage over their competitors. Therefore, the increasing adoption of cloud-based services is expected to increase the demand for the deep learning market during the forecast period.

Growing demand for autonomous vehicles is expected to propel the growth of the deep learning market. An autonomous vehicle is a vehicle that operates or drives automatically when the autonomous technology is turned on. Deep learning algorithms, with their ability to process vast amounts of data and adapt to complex environments, are crucial in enabling self-driving cars to perceive their surroundings, recognize objects, and make split-second decisions, ultimately accelerating the development and adoption of autonomous vehicles. For instance, according to McKinsey, a US-based management consultancy firm, autonomous driving might generate $300 billion to $400 billion in income by 2035. Therefore, the growing demand for autonomous vehicles is driving the growth of the drive-by-wire market.

Product innovation is a prominent trend gaining traction in the cloud migration services market. Leading companies in this sector are focusing on developing new product innovations to bolster their market positions. For instance, in 2022, DXC Technology unveiled significant advancements in cloud services, particularly with its "pay-per-use" cloud consumption model. This service was designed to meet customers' evolving demands for flexible and scalable cloud solutions, enabling businesses to pay for cloud resources based on actual usage, akin to a utility billing system. DXC's Cloud Right(TM) strategy has been crucial in assisting large enterprises with modernization, emphasizing the optimization of cloud architectures and IT environments while minimizing risks and enhancing performance.

Major companies in the cloud migration services market are developing innovative technological products, such as the AWS Application Migration Service, to enhance their profitability. This service automates the conversion of source servers to operate natively on AWS, reducing time-consuming and error-prone manual processes. For example, in October 2022, Amazon Web Services, Inc., a US-based cloud computing company, improved its AWS Application Migration Service (MGN) by adding several new features. These updates aim to simplify large-scale migrations by introducing functionalities like Global View, which enables administrators to manage migrations across multiple AWS accounts, thereby enhancing visibility.

In March 2022, Microsoft Corporation, a US-based multi-national technology corporation acquired Nuance for an undisclosed amount. Through this acquisition, Microsoft aims to assist healthcare providers in providing more inexpensive, effective, and accessible treatment, as well as businesses in many industries in creating more personalized and engaging customer experiences. Cloud-based AI solutions from Microsoft and Nuance are focused on assisting enterprises to achieve their business goals. Nuance Communications, Inc., is a US-based provider of deep learning solutions.

Major companies operating in the deep learning market include Amazon Web Services Inc., Google LLC, IBM Corporation, Intel Corporation, NVIDIA Corporation, Advanced Micro Devices Inc., Cerebras Systems Inc., Mythic, Sensory Inc., H2O. ai, KNIME (Konstanz Information Miner), Dataiku, Databricks Inc., Veritone Inc., DataRobot Inc., SoundHound AI, Unity Technologies, Interactions LLC, Heartflow Inc., Imandra Inc., MindsDB SF AI Learning, Neteera Technologies, Clarifai Inc., Orbital Insight, CHARM Therapeutics, NoTraffic U. S. Inc.

North America was the largest region in the deep learning market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the deep learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the deep learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The deep learning market includes revenues earned by entities by mimicking the human mind to perform tasks that only humans are capable of doing by using artificial intelligence and advanced robots. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Deep Learning Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on deep learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for deep learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The deep learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Product: Hardware; Software; Services
  • 2) By Application: Image Recognition; Signal Recognition; Data Mining
  • 3) By End User: BFSI; Automotive; Telecom and Media; Retail; Manufacturing; Healthcare; Other End Users
  • Subsegments:
  • 1) By Hardware: GPUs (Graphics Processing Units); TPUs (Tensor Processing Units); ASICs (Application-Specific Integrated Circuits); Edge Devices
  • 2) By Software: Deep Learning Frameworks; Model Training And Development Tools; Data Management And Preprocessing Tools; Deployment And Monitoring Software
  • 3) By Services: Consulting Services; Training And Education Services; Managed Services; Support And Maintenance Services
  • Companies Mentioned: Amazon Web Services Inc.; Google LLC; IBM Corporation; Intel Corporation; NVIDIA Corporation; Advanced Micro Devices Inc.; Cerebras Systems Inc.; Mythic; Sensory Inc.; H2O. ai; KNIME (Konstanz Information Miner); Dataiku; Databricks Inc.; Veritone Inc.; DataRobot Inc.; SoundHound AI; Unity Technologies; Interactions LLC; Heartflow Inc.; Imandra Inc.; MindsDB SF AI Learning; Neteera Technologies; Clarifai Inc.; Orbital Insight; CHARM Therapeutics; NoTraffic U. S. Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Deep Learning Market Characteristics

3. Deep Learning Market Trends And Strategies

4. Deep Learning Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Deep Learning Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Deep Learning PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Deep Learning Market Growth Rate Analysis
  • 5.4. Global Deep Learning Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Deep Learning Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Deep Learning Total Addressable Market (TAM)

6. Deep Learning Market Segmentation

  • 6.1. Global Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Servic
  • 6.2. Global Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Image Recognition
  • Signal Recognition
  • Data Mining
  • 6.3. Global Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • BFSI
  • Automotive
  • Telecom and Media
  • Retail
  • Manufacturing
  • Healthcare
  • Other End Users
  • 6.4. Global Deep Learning Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • GPUs (Graphics Processing Units)
  • TPUs (Tensor Processing Units)
  • ASICs (Application-Specific Integrated Circuits)
  • Edge Devices
  • 6.5. Global Deep Learning Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Deep Learning Frameworks
  • Model Training And Development Tools
  • Data Management And Preprocessing Tools
  • Deployment And Monitoring Software
  • 6.6. Global Deep Learning Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Training And Education Services
  • Managed Services
  • Support And Maintenance Services

7. Deep Learning Market Regional And Country Analysis

  • 7.1. Global Deep Learning Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Deep Learning Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Deep Learning Market

  • 8.1. Asia-Pacific Deep Learning Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Deep Learning Market

  • 9.1. China Deep Learning Market Overview
  • 9.2. China Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Deep Learning Market

  • 10.1. India Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Deep Learning Market

  • 11.1. Japan Deep Learning Market Overview
  • 11.2. Japan Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Deep Learning Market

  • 12.1. Australia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Deep Learning Market

  • 13.1. Indonesia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Deep Learning Market

  • 14.1. South Korea Deep Learning Market Overview
  • 14.2. South Korea Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Deep Learning Market

  • 15.1. Western Europe Deep Learning Market Overview
  • 15.2. Western Europe Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Deep Learning Market

  • 16.1. UK Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Deep Learning Market

  • 17.1. Germany Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Deep Learning Market

  • 18.1. France Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Deep Learning Market

  • 19.1. Italy Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Deep Learning Market

  • 20.1. Spain Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Deep Learning Market

  • 21.1. Eastern Europe Deep Learning Market Overview
  • 21.2. Eastern Europe Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Deep Learning Market

  • 22.1. Russia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Deep Learning Market

  • 23.1. North America Deep Learning Market Overview
  • 23.2. North America Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Deep Learning Market

  • 24.1. USA Deep Learning Market Overview
  • 24.2. USA Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Deep Learning Market

  • 25.1. Canada Deep Learning Market Overview
  • 25.2. Canada Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Deep Learning Market

  • 26.1. South America Deep Learning Market Overview
  • 26.2. South America Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Deep Learning Market

  • 27.1. Brazil Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Deep Learning Market

  • 28.1. Middle East Deep Learning Market Overview
  • 28.2. Middle East Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Deep Learning Market

  • 29.1. Africa Deep Learning Market Overview
  • 29.2. Africa Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Deep Learning Market Competitive Landscape And Company Profiles

  • 30.1. Deep Learning Market Competitive Landscape
  • 30.2. Deep Learning Market Company Profiles
    • 30.2.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Deep Learning Market Other Major And Innovative Companies

  • 31.1. Advanced Micro Devices Inc.
  • 31.2. Cerebras Systems Inc.
  • 31.3. Mythic
  • 31.4. Sensory Inc.
  • 31.5. H2O. ai
  • 31.6. KNIME (Konstanz Information Miner)
  • 31.7. Dataiku
  • 31.8. Databricks Inc.
  • 31.9. Veritone Inc.
  • 31.10. DataRobot Inc.
  • 31.11. SoundHound AI
  • 31.12. Unity Technologies
  • 31.13. Interactions LLC
  • 31.14. Heartflow Inc.
  • 31.15. Imandra Inc.

32. Global Deep Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Deep Learning Market

34. Recent Developments In The Deep Learning Market

35. Deep Learning Market High Potential Countries, Segments and Strategies

  • 35.1 Deep Learning Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Deep Learning Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Deep Learning Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer