表紙：ディープラーニング市場規模、シェア、動向分析レポート：ソリューション別（ハードウェア、ソフトウェア）、ハードウェア別、用途別（画像認識、音声認識）、最終用途別、地域別、セグメント予測、2023～2030年

市場調査レポート

商品コード

1233255

ディープラーニング市場規模、シェア、動向分析レポート：ソリューション別（ハードウェア、ソフトウェア）、ハードウェア別、用途別（画像認識、音声認識）、最終用途別、地域別、セグメント予測、2023～2030年

Deep Learning Market Size, Share, & Trends Analysis Report By Solution (Hardware, Software), By Hardware, By Application (Image Recognition, Voice Recognition), By End-use, By Region, And Segment Forecasts, 2023 - 2030

出版日: 2023年02月27日 | 発行: Grand View Research

| ページ情報: 英文 118 Pages | 納期: 2～10営業日

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全表示
概要
図表
目次

概要

サンプル依頼リストに入れる

ディープラーニング市場の成長・動向

Grand View Research, Inc.の新しいレポートによると、世界のディープラーニング市場規模は、2023年から2030年にかけて33.5%のCAGRで拡大し、2030年までに5267億米ドルに達すると予想されています。

ディープラーニングは、その高い計算能力と複雑なデータ駆動型アプリケーションの改善により、今後数年間で持続的な勢いを増すと予想されています。ビッグデータ分析への重点の高まりと、顧客中心のサービスにおける人工知能（AI）の採用が、予測期間中のディープラーニング産業の成長を促進すると予想されます。

AIは近年急速に進化しており、機械が認知タスクを効率的に実行できるようになりました。さまざまな分野でAIが採用されたことで、機械学習やディープラーニングのアプリケーションに数多くの潜在的な機会がもたらされています。さらに、バーチャルアシスタントなどのAI-as-a-serviceにより、小規模な組織でも大規模な設備投資をすることなく、ディープラーニングアプリケーションに必要なAIアルゴリズムを実装できるようになりました。さらに、大量のデータが利用でき、高い計算能力が必要なことから、中小企業や大企業がディープラーニング技術に大きく投資することが奨励されています。

ディープラーニングは、データがうまく整理されていなくても、機械が複雑な問題を解決することを可能にします。ディープラーニング・アルゴリズムは、タスクを繰り返し実行し、そのたびに微調整を加えて成果を向上させる。したがって、機械が実行するタスクが多ければ多いほど、より良い結果が得られることになります。その結果、大量の非構造化データをディープラーニングアルゴリズムで分析し、さらに展開することで、より信頼性の高い意思決定プロセスのために関連する洞察を得ることができます。例えば、企業はディープラーニング技術を利用して、業界考察、ソーシャルメディアの会話、特定の組織の株価の間のあらゆるデータポインタを明らかにすることができます。

画像認識や音声認識は、ディープラーニング業界における主要なアプリケーションのひとつです。AmazonのAlexaバーチャルアシスタント、Microsoft Cortana、Siriなど、いくつかのオンライン・オフラインのサービスは、人と対話しながら言語スキルを習得するためにディープラーニングを使用しています。FacebookとGoogleは、画像分類アプリケーションにおいて、認知画像分析のためのディープラーニング技術を実装しています。これは、企業が画像に関連する関連した結果や自動的な説明を提供するのに役立ちます。

そのほか、ディープラーニング・アルゴリズムは、白黒画像をカラーで再現することができ、画像カラー化アプリケーションで印象的で正確な結果を提供します。例えば、2019年6月、アマゾンは、Alexaで自然な音声体験を作り出すために、Alexa Conversationsという新しいディープラーニングモデルを導入しました。

ディープラーニングは、この技術の採用率が高いため、ベンダーにとって有利な投資機会を提供しています。そのため、各社はディープラーニング業界のシェアを獲得するために、製品開発を戦略的取り組みの1つとして考えています。最近では、2020年2月にGoogle Inc.がトランスフォーマーディープラーニングモデルのアップデート版であるReformerの発売を発表しています。2020年2月には、Concentrix Corporationがサイバーセキュリティ用途のディープラーニングアルゴリズムツールを発売しました。

ディープラーニング市場レポートのハイライト

ディープラーニング用チップセットの需要の高まりとハードウェアコストの削減により、予測期間中、ハードウェア分野が最も速い成長を遂げると予想されています。
フィールドプログラマブルゲートアレイ（FPGA）は高い計算能力を持ち、電力効率も優れています。その結果、FPGAセグメントは予測期間中に最も高いCAGRで拡大すると予想されます。
ディープラーニング・アルゴリズムは、複雑なデータの自動抽出において大きな可能性を示し、ビッグデータ分析アプリケーションに優れています。
ディープラーニングは、患者データセットの分析にニューラルネットワークを適用し、より良い治療結果を提供することで、今後数年間でヘルスケア業界に革命を起こす可能性を秘めています。
APAC地域では、デジタル化に関連するいくつかの政府の取り組みや、AIや機械学習などの次世代技術の採用が進んでおり、ディープラーニング技術の高い成長を示しています。

市場イントロダクション
ディープラーニングの市場規模と成長見通し
ディープラーニング-バリューチェーン分析
ディープラーニング-市場力学
- 市場促進要因分析
  - ディープラーニングアプリケーション向けの新しいハードウェアのイントロダクション
  - ディープラーニングアルゴリズムの改善
  - ビッグデータ分析の普及拡大
- 市場抑制要因分析
  - ディープラーニングモデルのスケーラビリティ
  - 認識のための大規模なトレーニングデータセットの要件
ディープラーニング-浸透と成長の見通しのマッピング
ビジネス環境分析ツール
- PEST分析
- ポーターのファイブフォース分析

第4章ディープラーニングアプリケーションソリューションの展望

市場規模の推計・予測、およびトレンド分析、2017～2030年（収益、USD Million）
ディープラーニング市場：ソリューションの変動分析
- ハードウェア
- ソフトウェア
- サービス
  - 設置サービス
  - 統合サービス
  - 保守・サポートサービス

第5章ディープラーニングハードウェアの展望

市場規模の推計・予測、およびトレンド分析、2017～2030年（収益、USD Million）
ディープラーニング市場：ハードウェアの変動分析
- CPU
- GPU
- FPGA
- ASIC

第6章ディープラーニング市場のアプリケーションの見通し

市場規模の推計・予測、およびトレンド分析、2017～2030年（収益、USD Million）
ディープラーニング市場：アプリケーションの変動分析
- 画像認識
- 音声認識
- ビデオ監視と診断
- データマイニング

第7章ディープラーニング市場のエンドユースの見通し

市場規模の推計・予測、およびトレンド分析、2017～2030年（収益、USD Million）
ディープラーニング市場：最終用途の変動分析
- 自動車
- 航空宇宙と防衛
- ヘルスケア
- 小売り
- その他

第8章地域推定・動向分析

市場規模の推計・予測、およびトレンド分析、2017～2030年（収益、USD Million）
2022年および2030年の地域別ディープラーニング市場シェア
北米
- 米国
- カナダ
- メキシコ
欧州
- ドイツ
- 英国
アジア太平洋地域
- 中国
- インド
- 日本
南米
- ブラジル
MEA

第9章競合分析

主要な世界プレーヤー、最近の開発、および業界への影響
主要な企業の分類（主要なイノベーター、市場のリーダー、新興企業）
主要企業分析、2022年

第10章競合情勢

Advanced Micro Devices, Inc.
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
ARM Ltd.
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
Clarifai, Inc.
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
Entilic
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
Google, Inc.
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
HyperVerge
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
IBM Corporation
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
Intel Corporation
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
Microsoft Corporation
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発
NVIDIA Corporation
- 会社概要
- 財務実績
- 製品のベンチマーク
- 最近の開発

図表

List of Tables

TABLE 1 Global deep learning market, 2017 - 2030 (USD Million)
TABLE 2 Global market estimates and forecasts by region, 2017 - 2030 (USD Million)
TABLE 3 Global market estimates and forecasts by solution, 2017 - 2030 (USD Million)
TABLE 4 Global market estimates and forecasts by hardware, 2017 - 2030 (USD Million)
TABLE 5 Global market estimates and forecasts by services, 2017 - 2030 (USD Million)
TABLE 6 Global market estimates and forecasts by application, 2017 - 2030 (USD Million)
TABLE 7 Global market estimates and forecasts by end-use, 2017 - 2030 (USD Million)
TABLE 8 Global deep learning-based hardware market by region, 2017 - 2030 (USD Million)
TABLE 9 Global deep learning-based software market by region, 2017 - 2030 (USD Million)
TABLE 10 Global deep learning-based services market by region, 2017 - 2030 (USD Million)
TABLE 11 Global deep learning-based installation services market by region, 2017 - 2030 (USD Million)
TABLE 12 Global deep learning-based integration services market by region, 2017 - 2030 (USD Million)
TABLE 13 Global deep learning-based maintenance & support services market by region, 2017 - 2030 (USD Million)
TABLE 14 Global deep learning-based CPU market by region, 2017 - 2030 (USD Million)
TABLE 15 Global deep learning-based GPU market by region, 2017 - 2030 (USD Million)
TABLE 16 Global deep learning-based FPGA market by region, 2017 - 2030 (USD Million)
TABLE 17 Global deep learning-based ASIC market by region, 2017 - 2030 (USD Million)
TABLE 18 Global deep learning market in image recognition application by region, 2017 - 2030 (USD Million)
TABLE 19 Global deep learning market in voice recognition application by region, 2017 - 2030 (USD Million)
TABLE 20 Global deep learning market in video surveillance & diagnostics application by region, 2017 - 2030 (USD Million)
TABLE 21 Global deep learning market in data mining application by region, 2017 - 2030 (USD Million)
TABLE 22 Global deep learning market in automotive application by region, 2017 - 2030 (USD Million)
TABLE 23 Global deep learning market in aerospace & defense application by region, 2017 - 2030 (USD Million)
TABLE 24 Global deep learning market in healthcare application by region, 2017 - 2030 (USD Million)
TABLE 25 Global deep learning market in retail application by region, 2017 - 2030 (USD Million)
TABLE 26 Global deep learning market in other applications by region, 2017 - 2030 (USD Million)
TABLE 27 North America Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 28 North America Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 29 North America deep learning market by services, 2017 - 2030 (USD Million)
TABLE 30 North America Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 31 North America Deep Learning Market, by End-Use, 2017 - 2030 (USD Million)
TABLE 32 U.S. Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 33 U.S. Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 34 U.S. deep learning market by services, 2017 - 2030 (USD Million)
TABLE 35 U.S. Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 36 U.S. Deep Learning Market, by End-Use, 2017 - 2030 (USD Million)
TABLE 37 Canada Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 38 Canada Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 39 Canada deep learning market by services, 2017 - 2030 (USD Million)
TABLE 40 Canada Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 41 Canada deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 42 Europe Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 43 Europe Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 44 Europe deep learning market by services, 2017 - 2030 (USD Million)
TABLE 45 Europe Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 46 Europe deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 47 Germany Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 48 Germany Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 49 Germany deep learning market by services, 2017 - 2030 (USD Million)
TABLE 50 Germany Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 51 Germany deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 52 U.K. Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 53 U.K. Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 54 U.K. deep learning market by services, 2017 - 2030 (USD Million)
TABLE 55 U.K. Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 56 U.K. deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 57 Asia Pacific Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 58 Asia Pacific Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 59 Asia Pacific deep learning market by services, 2017 - 2030 (USD Million)
TABLE 60 Asia Pacific Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 61 Asia Pacific deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 62 China Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 63 China Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 64 China deep learning market by services, 2017 - 2030 (USD Million)
TABLE 65 China Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 66 China deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 67 India Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 68 India Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 69 India deep learning market by services, 2017 - 2030 (USD Million)
TABLE 70 India Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 71 India deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 72 Japan Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 73 Japan Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 74 Japan deep learning market by services, 2017 - 2030 (USD Million)
TABLE 75 Japan Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 76 Japan deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 77 South America Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 78 South America Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 79 South America deep learning market by services, 2017 - 2030 (USD Million)
TABLE 80 South America Deep Learning Market, by Application, 2017 - 2030 (USD million)
TABLE 81 South America deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 82 Brazil Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 83 Brazil Deep Learning Market, by Hardware,2017 - 2030 (USD Million)
TABLE 84 Brazil deep learning market by services,2017 - 2030 (USD Million)
TABLE 85 Brazil Deep Learning Market, by Application,2017 - 2030 (USD Million)
TABLE 86 Brazil deep learning market by end-use,2017 - 2030 (USD Million)
TABLE 87 Mexico Deep Learning Market, by Solution, 2017 - 2030 (USD Million)
TABLE 88 Mexico Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 89 Mexico deep learning market by services, 2017 - 2030 (USD Million)
TABLE 90 Mexico Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 91 Mexico deep learning market by end-use, 2017 - 2030 (USD Million)
TABLE 92 MEA Deep Learning Market, by Solution 2017 - 2030 (USD Million)
TABLE 93 MEA Deep Learning Market, by Hardware, 2017 - 2030 (USD Million)
TABLE 94 MEA deep learning market by services 2017 - 2030 (USD Million)
TABLE 95 MEA Deep Learning Market, by Application, 2017 - 2030 (USD Million)
TABLE 96 MEA deep learning market by end-use, 2017 - 2030 (USD Million)

List of Figures

FIG 1 Deep learning market segmentation and scope
FIG. 2 Information procurement
FIG. 3 Primary research pattern
FIG. 4 Primary research process
FIG. 5 Market formulation and data visualization
FIG. 6 Industry Snapshot - Deep Learning
FIG. 7 Big data revenue, 2017 - 2030 (USD Million)
FIG. 8 Penetration & growth prospect mapping
FIG. 9 Porter's five forces analysis
FIG. 10 Deep learning - PEST analysis
FIG. 11 Deep learning market solution outlook key takeaways
FIG. 12 Deep learning market: Solution movement analysis
FIG. 13 Global deep learning-based hardware market, 2017 - 2030 (USD Million)
FIG. 14 Global deep learning-based software market, 2017 - 2030 (USD Million)
FIG. 15 Global deep learning-based services market, 2017 - 2030 (USD Million)
FIG. 16 Global deep learning-based installation services market, 2017 - 2030 (USD Million)
FIG. 17 Global deep learning-based integration services market, 2017 - 2030 (USD Million)
FIG. 18 Global deep learning-based maintenance & support services market, 2017 - 2030 (USD Million)
FIG. 19 Deep learning market hardware outlook key takeaways
FIG. 20 Deep learning market: Hardware movement analysis
FIG. 21 Global deep learning-based CPU market, 2017 - 2030 (USD Million)
FIG. 22 Global deep learning-based GPU market, 2017 - 2030 (USD Million)
FIG. 23 Global deep learning-based FPGA market, 2017 - 2030 (USD Million)
FIG. 24 Global deep learning-based ASIC market, 2017 - 2030 (USD Million)
FIG. 25 Deep learning market application outlook key takeaways
FIG. 26 Deep learning market: Application movement analysis
FIG. 27 Global deep learning market in image recognition application, 2017 - 2030 (USD Million)
FIG. 28 Global deep learning market in voice recognition application, 2017 - 2030 (USD Million)
FIG. 29 Global deep learning market in video surveillance & diagnostics application, 2017 - 2030 (USD Million)
FIG. 30 Global deep learning market in data mining application, 2017 - 2030 (USD Million)
FIG. 31 Deep learning market end-use outlook key takeaways
FIG. 32 Deep learning market: End-use movement analysis
FIG. 33 Global deep learning market in automotive application, 2017 - 2030 (USD Million)
FIG. 34 Global deep learning market in aerospace & defense application, 2017 - 2030 (USD Million)
FIG. 35 Global deep learning market in healthcare application, 2017 - 2030 (USD Million)
FIG. 36 Global deep learning market in retail application, 2017 - 2030 (USD Million)
FIG. 37 Global deep learning market in other applications, 2017 - 2030 (USD Million)
FIG. 38 Regional market place: Key takeaways
FIG. 39 Regional outlook, 2022 & 2030
FIG. 40 North America deep learning market, 2017 - 2030 (USD Million)
FIG. 41 Europe deep learning market, 2017 - 2030 (USD Million)
FIG. 42 Asia Pacific deep learning market, 2017 - 2030 (USD Million)
FIG. 43 Asia Pacific deep learning market, 2017 - 2030 (USD Million)

Product Code: GVR-1-68038-466-6

Deep Learning Market Growth & Trends:

The global deep learning market size is expected to reach USD 526.7 billion by 2030, expanding at a CAGR of 33.5% from 2023 to 2030, according to a new report by Grand View Research, Inc. Deep learning is expected to gain sustainable momentum in the coming years owing to its high computational ability and improved complex data-driven applications. The growing emphasis on big data analytics and the adoption of Artificial Intelligence (AI) in customer-centric services is expected to propel the growth of the deep learning industry over the forecast period.

AI has evolved rapidly in recent years, enabling machines to perform cognitive tasks effectively. The adoption of AI across various sectors has unlocked numerous potential opportunities for machine learning and deep learning applications. Furthermore, AI-as-a-service such as virtual assistants has allowed smaller organizations to implement AI algorithms required for deep learning applications without a large capital investment. Moreover, the availability of a large amount of data and the need for high computing power encourage SMEs and large enterprises to invest significantly in deep learning technology.

Deep learning allows the machine to solve complex problems even if the data is not well organized. A deep learning algorithm performs a task repeatedly, every time tweaking it to improve the outcomes. Thus, the more the task performed by the machines, the better will be the outcome. As a result, large amounts of unstructured data can be analyzed using deep learning algorithms and further deployed to obtain relevant insights for a more reliable decision-making process. For instance, organizations may use deep learning technology to unveil any data pointers between industry insights, social media conversation, and a stock price of a given organization.

Image and voice recognition are some of the leading applications in the deep learning industry. Several online and offline services such as Alexa virtual assistant by Amazon, Microsoft Cortana, and Siri use deep learning to acquire language skills while interacting with people. Facebook and Google have implemented deep learning technology for cognitive image analysis in their image classification application. It helps companies provide relevant results and automatic descriptions related to images.

Besides, deep learning algorithms can recreate a black-and-white image in color, offering impressive and accurate results in image colorization applications. For instance, In June 2019, Amazon introduced a new deep learning model called Alexa Conversations to create natural voice experiences on Alexa.

Deep learning offers lucrative investment opportunities for vendors due to the technology's high adoption rate. As a result, the companies consider product development as one of the strategic initiatives to capture the deep learning industry share. Recently, in February 2020, Google Inc. announced the launch of Reformer, an updated version of the transformer deep-learning model. In February 2020, Concentrix Corporation launched the deep learning algorithm tool for cybersecurity applications.

Deep Learning Market Report Highlights:

The hardware segment is expected to witness the fastest growth over the forecast period owing to the growing demand for deep learning chipsets and reduced hardware costs

The Field Programmable Gate Array (FPGA) possesses high computational capability and has better power efficiency. As a result, the FPGA segment is expected to expand at the highest CAGR during the forecast period

Deep learning algorithms exhibit great potential in the automated extraction of complex data, thereby excelling in big data analytics application

Deep learning holds the potential to revolutionize the healthcare industry in the coming years by applying neural networks to analyze patient datasets to provide better outcomes

Several government initiatives related to digitalization and the growing adoption of next-generation technologies such as AI and machine learning in the APAC region exhibited the strong growth of deep learning technology

Chapter 1 Market Segmentation and Scope

1.1 Market Segmentation and Scope
1.2 Market Definition
1.3 Information Procurement
- 1.3.1 Purchased Database
- 1.3.2 GVR'S Internal Database
- 1.3.3 Secondary Sources & Third-Party Perspectives
- 1.3.4 Primary Research
1.4 Information Analysis
- 1.4.1 Data Analysis Models
1.5 Market Formulation & Data Visualization
1.6 Data Validation & Publishing

Chapter 2 Executive Summary & Market Snapshot

2.1 Market Outlook
2.2 Segmental Outlook
2.3 Competitive Insights

Chapter 3 Deep Learnings Industry Outlook, Trends & Scope

3.1 Market Introduction
3.2 Deep Learning-Market Size and Growth Prospects
3.3 Deep Learning -Value Chain Analysis
3.4 Deep Learning -Market Dynamics
- 3.4.1 MARKET DRIVER ANALYSIS
  - 3.4.1.1 Introduction of new hardware for deep learning applications
  - 3.4.1.2 Improvement in deep learning algorithms
  - 3.4.1.3 Increased penetration in big data analytics
- 3.4.2 MARKET RESTRAINT ANALYSIS
  - 3.4.2.1 Scalability of deep learning models
  - 3.4.2.2 Requirement of large training datasets for recognition
3.5 Deep Learning-Penetration & Growth Prospect Mapping
3.6 Business Environment Analysis Tools
- 3.6.1 PEST Analysis
- 3.6.2 Porter's Five Force Analysis

Chapter 4 Deep Learning Application Solution Outlook

4.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
4.2 Deep Learning Market: Solution Movement Analysis
- 4.2.1 Hardware
  - 4.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 4.2.2 Software
  - 4.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 4.2.3 Services
  - 4.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
  - 4.2.3.2 Installation Services
  - 4.2.3.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
  - 4.2.3.3 Integration Services
  - 4.2.3.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
  - 4.2.3.4 Maintenance & support services
  - 4.2.3.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 5 Deep Learning Hardware Outlook

5.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
5.2 Deep Learning Market: Hardware Movement Analysis
- 5.2.1 CPU
  - 5.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 5.2.2 GPU
  - 5.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 5.2.3 FPGA
  - 5.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 5.2.4 ASIC
  - 5.2.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 6 Deep Learning Market Application Outlook

6.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
6.2 Deep Learning Market: Application Movement Analysis
- 6.2.1 Image recognition
  - 6.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 6.2.2 Voice recognition
  - 6.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 6.2.3 Video Surveillance & Diagnostics
  - 6.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 6.2.4 Data Mining
  - 6.2.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 7 Deep Learning Market End-Use Outlook

7.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
7.2 Deep Learning Market: End-Use Movement Analysis
- 7.2.1 Automotive
  - 7.2.1.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 7.2.2 Aerospace & Defense
  - 7.2.2.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 7.2.3 Healthcare
  - 7.2.3.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 7.2.4 Retail
  - 7.2.4.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)
- 7.2.5 Others
  - 7.2.5.1 Market estimates and forecast by region, 2017 - 2030 (USD Million)

Chapter 8 Regional Estimates & Trend Analysis

8.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (Revenue, USD Million)
8.2 Deep Learning Market Share by Region, 2022 & 2030
8.3 North America
- 8.3.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
- 8.3.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
- 8.3.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
- 8.3.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
- 8.3.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.3.6 U.S.
  - 8.3.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.3.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.3.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.3.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.3.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.3.7 Canada
  - 8.3.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.3.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.3.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.3.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.3.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.3.8 Mexico
  - 8.3.8.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.3.8.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.3.8.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.3.8.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.3.8.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
8.4 Europe
- 8.4.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
- 8.4.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
- 8.4.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
- 8.4.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
- 8.4.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.4.6 Germany
  - 8.4.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.4.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.4.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.4.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.4.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.4.7 U.K.
  - 8.4.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.4.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.4.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.4.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.4.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
8.5 Asia Pacific
- 8.5.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
- 8.5.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
- 8.5.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
- 8.5.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
- 8.5.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.5.6 China
  - 8.5.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.5.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.5.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.5.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.5.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.5.7 India
  - 8.5.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.5.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.5.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.5.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.5.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.5.8 Japan
  - 8.5.8.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.5.8.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.5.8.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.5.8.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.5.8.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
8.6 South America
- 8.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
- 8.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
- 8.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
- 8.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
- 8.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
- 8.6.6 Brazil
  - 8.6.6.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
  - 8.6.6.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
  - 8.6.6.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
  - 8.6.6.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
  - 8.6.6.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)
8.7 MEA
- 8.7.1 Market estimates and forecast by solution, 2017 - 2030 (USD Million)
- 8.7.2 Market estimates and forecast by hardware, 2017 - 2030 (USD Million)
- 8.7.3 Market estimates and forecast by service, 2017 - 2030 (USD Million)
- 8.7.4 Market estimates and forecast by application, 2017 - 2030 (USD Million)
- 8.7.5 Market estimates and forecast by end-use, 2017 - 2030 (USD Million)

Chapter 9 Competitive Analysis

9.1 Key Global Players, Recent Developments & Their Impact on the Industry
9.2 Key Company Categorization (Key innovators, Market leaders, and Emerging players)
9.3 Key Company Analysis, 2022

Chapter 10 Competitive Landscape

10.1 Advanced Micro Devices, Inc.
- 10.1.1 Company overview
- 10.1.2 Financial performance
- 10.1.3 Product benchmarking
- 10.1.4 Recent developments
10.2 ARM Ltd.
- 10.2.1 Company Overview
- 10.2.2 Financial performance
- 10.2.3 Product benchmarking
- 10.2.4 Recent developments
10.3 Clarifai, Inc.
- 10.3.1 Company overview
- 10.3.2 Financial performance
- 10.3.3 Product benchmarking
- 10.3.4 Recent developments
10.4 Entilic
- 10.4.1 Company overview
- 10.4.2 Financial performance
- 10.4.3 Product benchmarking
- 10.4.4 Recent developments
10.5 Google, Inc.
- 10.5.1 Company overview
- 10.5.2 Financial performance
- 10.5.3 Product benchmarking
- 10.5.4 Recent developments
10.6 HyperVerge
- 10.6.1 Company overview
- 10.6.2 Financial performance
- 10.6.3 Product benchmarking
- 10.6.4 Recent developments
10.7 IBM Corporation
- 10.7.1 Company overview
- 10.7.2 Financial performance
- 10.7.3 Product benchmarking
- 10.7.4 Recent developments
10.8 Intel Corporation
- 10.8.1 Company overview
- 10.8.2 Financial performance
- 10.8.2 Product benchmarking
- 10.8.3 Recent developments
10.9 Microsoft Corporation
- 10.9.1 Company overview
- 10.9.2 Financial performance
- 10.9.3 Product benchmarking
- 10.9.4 Recent developments
10.10 NVIDIA Corporation
- 10.10.1 Company overview
- 10.10.2 Financial performance
- 10.10.3 Product benchmarking
- 10.10.4 Recent developments

ディープラーニング市場規模、シェア、動向分析レポート：ソリューション別（ハードウェア、ソフトウェア）、ハードウェア別、用途別（画像認識、音声認識）、最終用途別、地域別、セグメント予測、2023～2030年

Deep Learning Market Size, Share, & Trends Analysis Report By Solution (Hardware, Software), By Hardware, By Application (Image Recognition, Voice Recognition), By End-use, By Region, And Segment Forecasts, 2023 - 2030

ディープラーニング市場の成長・動向

ディープラーニング市場レポートのハイライト

目次

第1章市場セグメンテーションと範囲

第2章エグゼクティブサマリーと市場スナップショット

第3章ディープラーニング業界の見通し、動向、範囲

第4章ディープラーニングアプリケーションソリューションの展望

第5章ディープラーニングハードウェアの展望

第6章ディープラーニング市場のアプリケーションの見通し

第7章ディープラーニング市場のエンドユースの見通し

第8章地域推定・動向分析

第9章競合分析

第10章競合情勢

List of Tables

List of Figures

Deep Learning Market Growth & Trends:

Deep Learning Market Report Highlights:

Table of Contents

Chapter 1 Market Segmentation and Scope

Chapter 2 Executive Summary & Market Snapshot

Chapter 3 Deep Learnings Industry Outlook, Trends & Scope

Chapter 4 Deep Learning Application Solution Outlook

Chapter 5 Deep Learning Hardware Outlook

Chapter 6 Deep Learning Market Application Outlook

Chapter 7 Deep Learning Market End-Use Outlook

Chapter 8 Regional Estimates & Trend Analysis

Chapter 9 Competitive Analysis

Chapter 10 Competitive Landscape

ディープラーニング市場規模、シェア、動向分析レポート：ソリューション別（ハードウェア、ソフトウェア）、ハードウェア別、用途別（画像認識、音声認識）、最終用途別、地域別、セグメント予測、2023～2030年

Deep Learning Market Size, Share, & Trends Analysis Report By Solution (Hardware, Software), By Hardware, By Application (Image Recognition, Voice Recognition), By End-use, By Region, And Segment Forecasts, 2023 - 2030

ディープラーニング市場の成長・動向

ディープラーニング市場レポートのハイライト

目次

第1章 市場セグメンテーションと範囲

第2章 エグゼクティブサマリーと市場スナップショット

第3章 ディープラーニング業界の見通し、動向、範囲

第4章 ディープラーニングアプリケーションソリューションの展望

第5章 ディープラーニングハードウェアの展望

第6章 ディープラーニング市場のアプリケーションの見通し

第7章 ディープラーニング市場のエンドユースの見通し

第8章 地域推定・動向分析

第9章 競合分析

第10章 競合情勢

List of Tables

List of Figures

Deep Learning Market Growth & Trends:

Deep Learning Market Report Highlights:

Table of Contents

Chapter 1 Market Segmentation and Scope

Chapter 2 Executive Summary & Market Snapshot

Chapter 3 Deep Learnings Industry Outlook, Trends & Scope

Chapter 4 Deep Learning Application Solution Outlook

Chapter 5 Deep Learning Hardware Outlook

Chapter 6 Deep Learning Market Application Outlook

Chapter 7 Deep Learning Market End-Use Outlook

Chapter 8 Regional Estimates & Trend Analysis

Chapter 9 Competitive Analysis

Chapter 10 Competitive Landscape

第1章市場セグメンテーションと範囲

第2章エグゼクティブサマリーと市場スナップショット

第3章ディープラーニング業界の見通し、動向、範囲

第4章ディープラーニングアプリケーションソリューションの展望

第5章ディープラーニングハードウェアの展望

第6章ディープラーニング市場のアプリケーションの見通し

第7章ディープラーニング市場のエンドユースの見通し

第8章地域推定・動向分析

第9章競合分析

第10章競合情勢