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市場調查報告書
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1840215

2025年深度學習全球市場報告

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個工作天內

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簡介目錄

近年來，深度學習市場呈指數級成長，從 2024 年的 247.1 億美元成長到 2025 年的 340.8 億美元，複合年成長率高達 37.9%。這段時期的成長得益於全球投資和資金籌措、自主系統的採用、對可解釋性和可解讀性的重視、生成模型的興起以及邊緣運算的發展。

預計未來幾年深度學習市場將呈指數級成長，到2029年將達到1,419.3億美元，年複合成長率（CAGR）為42.9%。預測期內的成長主要受以下因素驅動：全球經濟和地緣政治因素、安全性和穩健性的提升、混合和整合學習方法、向新垂直行業的擴展以及醫療保健領域應用的提升。預測期內的主要趨勢包括：增強人類能力、深度學習的量子運算、跨產業協作和開放原始碼貢獻、混合雲端和多重雲端部署、增強型電腦視覺應用，以及負責任的人工智慧和倫理考量。

深度學習是指一套包含一系列機器學習演算法的系統，它透過由多種非線性變換組成的架構對數據進行高級抽象建模，獨立地執行工程活動，處理海量非結構化數據，並提供比傳統機器學習更準確的結果。

深度學習的主要產品類型包括硬體、軟體和服務。深度學習硬體是指用於實現架構和學習演算法的設備，尤其是那些利用人工神經網路的設備。它用於影像識別、訊號識別和資料探勘的開發和實施。深度學習解決方案廣泛應用於各行各業，包括金融服務、保險和保險業、汽車、電信和媒體、零售、製造、醫療保健和其他終端用戶。

2025年春季美國突然提高關稅以及由此引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間和價格壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球IT供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

深度學習市場研究報告是商業研究公司（The Business Research Company）最新發布的系列報告之一，提供深度學習市場統計數據，例如深度學習行業的全球市場規模、各地區市場佔有率、各競爭對手的深度學習市場佔有率、深度學習細分市場的詳細情況、市場趨勢和商業機會。這份深度學習市場研究報告對行業現狀和未來發展進行了詳細分析，為您提供了全面概覽，涵蓋了您需要了解的所有內容。

未來五年42.9%的成長預測，較我們先前對該市場的預測略有下降0.5%。這一下降主要源自於美國與其他國家之間關稅的影響。對外國製造的GPU和AI加速器晶片徵收關稅可能會增加國內複雜模型的訓練成本，從而減緩深度學習領域的發展。由於互惠關稅以及不斷升級的貿易緊張局勢和限制措施對全球經濟和貿易的負面影響，其影響也將更加廣泛。

雲端基礎服務的日益普及，對深度學習市場的成長貢獻巨大。雲端基礎服務已取得顯著進展，如今已為企業提供透過雲端基礎經營整個業務的能力。因此，企業越來越有信心將營運從本地遷移到雲端基礎雲端處理發現，超過 74% 的企業認為雲端處理賦予了他們超越競爭對手的競爭優勢。因此，預計在預測期內，雲端基礎服務的日益普及將增加深度學習市場的需求。

自動駕駛汽車日益成長的需求預計將推動深度學習市場的發展。自動駕駛汽車是指開啟自動駕駛技術後能夠自動駕駛或導航的車輛。深度學習演算法憑藉其處理大量數據和適應複雜環境的能力，對於自動駕駛汽車感知周圍環境、識別物體並做出瞬間決策至關重要，最終將加速自動駕駛汽車的開發和普及。例如，根據美國管理顧問公司麥肯錫預測，到2035年，自動駕駛汽車可望創造3,000億至4,000億美元的收入。因此，日益成長的自動駕駛汽車需求正在推動線傳市場的成長。

產品創新是雲端遷移服務市場的一大趨勢。該領域的主要企業正專注於開發新產品創新，以鞏固其市場地位。例如，DXC Technology 宣布其雲端服務將於 2022 年進行重大升級，尤其是其「按使用付費」的雲端消費模式。這項服務旨在滿足客戶對靈活且可擴展的雲端解決方案不斷變化的需求，允許企業根據實際使用情況支付雲端資源費用，類似於公用事業收費計費系統。 DXC 的 Cloud Right™ 策略對於協助大型企業現代化至關重要，該策略專注於最佳化雲端架構和 IT 環境，同時最大限度地降低風險並提高效能。

深度學習市場涵蓋使用人工智慧和先進機器人技術模擬人類思維並執行只有人類才能完成的任務的營業單位所產生的收益。市場價值還包括服務提供者銷售或包含在服務產品中的相關商品的價值。僅包括營業單位之間交易或銷售給最終消費者的商品和服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球深度學習：PESTEL分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
  • 最終用途產業分析
  • 全球深度學習市場：成長率分析
  • 全球深度學習市場表現：規模與成長，2019-2024
  • 全球深度學習市場預測：2024-2029 年及 2034 年規模與成長
  • 全球深度學習：總潛在市場（TAM）

第6章 市場細分

  • 全球深度學習市場：依產品、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 硬體
  • 軟體
  • 服務
  • 全球深度學習市場：按應用、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 影像識別
  • 訊號識別
  • 資料探勘
  • 全球深度學習市場：按最終用戶、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • BFSI
  • 車
  • 通訊與媒體
  • 零售
  • 製造業
  • 衛生保健
  • 其他最終用戶
  • 全球深度學習市場：按硬體（類型）、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
  • GPU（圖形處理單元）
  • TPU（張量處理單元）
  • ASIC（專用積體電路）
  • 邊緣設備
  • 全球深度學習市場：按軟體類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 深度學習框架
  • 模型訓練與開發工具
  • 資料管理和預處理工具
  • 部署和監控軟體
  • 全球深度學習市場：按服務類型、表現和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 諮詢服務
  • 培訓和教育服務
  • 託管服務
  • 支援和維護服務

第7章 區域和國家分析

  • 全球深度學習市場：按地區、表現和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球深度學習市場：按國家、表現和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 深度學習市場：競爭格局
  • 深度學習市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029 年深度學習市場：提供新機會的國家
  • 2029 年深度學習市場：細分領域帶來新機會
  • 2029 深度學習市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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