ディープラーニングの世界市場レポート2025年

ディープラーニングの市場規模は、今後数年で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は43.3%で、1,446億4,000万米ドルに成長します。予測期間の成長は、世界経済と地政学的要因、セキュリティと堅牢性の向上、ハイブリッド学習と統合学習アプローチ、新たな産業分野への拡大、ヘルスケアにおける採用の増加などに起因すると考えられます。予測期間における主な動向としては、人間能力の拡張、ディープラーニング向け量子コンピューティング、異業種コラボレーションとオープンソースへの貢献、ハイブリッドクラウドとマルチクラウドの展開、コンピュータビジョンアプリケーションの強化、責任あるaiと倫理的配慮などが挙げられます。

クラウドベースのサービス採用の増加は、ディープラーニング市場の成長に大きく寄与しています。クラウドベースのサービスは著しく進歩し、今ではクラウドベースのプラットフォームを通じてビジネス全体を運営する能力を企業に提供できるまでになった。その結果、企業はオンプレミスからクラウドベースのフレームワークへ業務を移行することをますます確信しています。例えば、クラウド・コンピューティングに関するHarvard Business Review Analytic Servicesのレポートによると、74％以上の企業が、クラウド・コンピューティングによって競合他社よりも競争優位に立てると考えています。そのため、クラウドベースのサービスの採用が増加しており、予測期間中にディープラーニング市場の需要が増加すると予想されます。

自律走行車に対する需要の高まりがディープラーニング市場の成長を促進すると予想されます。自律走行車とは、自律走行技術をオンにすると自動的に運転または走行する車両のことです。ディープラーニングアルゴリズムは、膨大な量のデータを処理し、複雑な環境に適応する能力を備えており、自動運転車が周囲の状況を認識し、物体を認識し、瞬時の判断を下せるようにする上で極めて重要であり、最終的には自律走行車の開発と普及を加速させる。例えば、米国の経営コンサルタント会社マッキンゼーによると、自律走行は2035年までに3,000億米ドルから4,000億米ドルの収入を生み出す可能性があるといいます。したがって、自律走行車に対する需要の高まりが、ドライブ・バイ・ワイヤ市場の成長を後押ししています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場-金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界成長分析と戦略分析フレームワーク

• 世界のディープラーニング PESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のディープラーニング市場成長率分析
• 世界のディープラーニング市場の実績：規模と成長, 2019-2024
• 世界のディープラーニング市場の予測：規模と成長, 2024-2029, 2034F
• 世界のディープラーニング総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のディープラーニング市場：製品別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ハードウェア
• ソフトウェア
• サービス
• 世界のディープラーニング市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 画像認識
• 信号認識
• データマイニング
• 世界のディープラーニング市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• BFSI
• 自動車
• 通信・メディア
• 小売り
• 製造業
• ヘルスケア
• その他のエンドユーザー
• 世界のディープラーニング市場：ハードウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• GPU（グラフィックスプロセッシングユニット）
• TPU（テンソルプロセッシングユニット）
• ASIC（特定用途向け集積回路）
• エッジデバイス
• 世界のディープラーニング市場：ソフトウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ディープラーニングフレームワーク
• モデルトレーニングおよび開発ツール
• データ管理および前処理ツール
• 導入および監視ソフトウェア
• 世界のディープラーニング市場：サービスのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンサルティングサービス
• トレーニングおよび教育サービス
• マネージドサービス
• サポートおよびメンテナンスサービス

第7章 地域別・国別分析

• 世界のディープラーニング市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のディープラーニング市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• ディープラーニング市場：競合情勢
• ディープラーニング市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 市場の最近の動向

第35章 市場の潜在力が高い国、セグメント、戦略

• ディープラーニング市場2029年-最も新しい機会を提供する国
• ディープラーニング市場2029年-最も新しい機会を提供するセグメント
• ディープラーニング市場2029年-成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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.

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 $34.29 billion in 2025 at a compound annual growth rate (CAGR) of 38.8%. 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 $144.64 billion in 2029 at a compound annual growth rate (CAGR) of 43.3%. 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.

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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• 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
• 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 And Covid And Recovery On The Market

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