サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
デフォルト表紙
市場調査レポート
商品コード
1544083

ディープラーニングの世界市場

Deep Learning

出版日
ページ情報
英文 292 Pages
納期
即日から翌営業日
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.82円
ディープラーニングの世界市場
出版日: 2024年08月29日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 292 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

ディープラーニングの世界市場は2030年までに3,604億米ドルに達する見込み

2023年に505億米ドルと推定されるディープラーニングの世界市場は、2023年から2030年にかけてCAGR 32.4％で成長し、2030年には3,604億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるディープラーニングソフトウェアは、CAGR 31.7％を記録し、分析期間終了時には2,000億米ドルに達すると予測されます。ディープラーニングサービス分野の成長率は、分析期間でCAGR 34.9％と推定されます。

米国市場は137億米ドル、中国はCAGR 30.8％で成長予測

米国のディープラーニング市場は2023年に137億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに531億米ドルの市場規模に達すると予測され、分析期間2023-2030年のCAGRは30.8%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ29.0%と27.6%と予測されています。欧州では、ドイツがCAGR 22.2%で成長すると予測されています。

世界のディープラーニング市場動向と促進要因

ディープラーニングとは何か、技術的展望をどのように形成しているのか？

機械学習のサブセットであるディープラーニングは、人工ニューラルネットワークと呼ばれる脳の構造と機能に着想を得たアルゴリズムに依存しています。パターンを認識し、データを解釈し、意思決定を行うように設計されたディープラーニングは、様々な分野でAI能力を進化させる最前線にいます。ディープラーニングのアルゴリズムは、明示的な指示に従ってタスクを完了させる従来のプログラミングとは異なり、コンピュータがデータから学習し、時間の経過とともに精度を向上させることを可能にします。このアプローチは、音声認識、画像分析、予測分析などの複雑なタスクにおいて、大きなブレークスルーを達成する上で極めて重要です。ディープラーニングは、人間の介入を最小限に抑えながら、膨大な量のデータを処理、分析することができるため、自動化を強化し、効率を高め、新しい能力を引き出すことで、産業界を変革しています。

なぜディープラーニングは人工知能の革命と言われるのか？

ディープラーニングがAIに与える影響は非常に大きく、かつては古典的なアルゴリズムでは克服できないと考えられていた問題を解決しているからです。ディープラーニングの核心は、予測分析を自動化し、より速く、より正確にすることです。言語の翻訳、病状の診断、自律走行車の運転など、複雑なパターンの認識が重要な環境で威力を発揮します。ディープラーニングモデルの各レイヤーが理解を深めることで、これらのシステムは人間の直感に近い精度でデータを理解することができます。その結果、ディープラーニングを搭載したテクノロジーは、単に段階的に良くなるだけではなく、飛躍的に能力が向上し、以前は手の届かなかったアプリケーションの幅が広がります。

ディープラーニング導入の課題と限界は？

ディープラーニングは、その可能性とは裏腹に、対処しなければならない大きな課題と限界があります。主な課題の一つは、ディープラーニングモデルを効果的に学習させるためには、大量のラベル付きデータが必要であることです。このデータの取得とラベル付けは、リソース集約的でコストがかかります。さらに、ディープラーニングモデルは、その意思決定プロセスが不透明であるため、しばしば「ブラックボックス」と表現され、どのように意思決定が行われたかを解釈することが困難です。このような透明性の欠如は、医療診断や司法の意思決定など、意思決定の背後にある根拠を理解することが重要なアプリケーションにおいて問題となる可能性があります。さらに、ディープラーニングは、特に複雑なモデルをトレーニングするためにかなりの計算能力を必要とするため、エネルギー消費の増加や運用コストの上昇につながる可能性があります。

ディープラーニング市場の成長の原動力は？

ディープラーニング市場の成長は、ディープラーニングアルゴリズムの原材料となるデジタル機器から生成されるデータの急激な増加など、いくつかの要因によってもたらされます。業界のデジタル化が進むにつれて、こうしたデータに対する洞察を提供できるAI機能に対する需要が高まっています。GPUやTPUのような特殊なハードウェアなど、処理能力の技術的進歩も、モデルのトレーニングにかかる時間とコストを削減することで、ディープラーニングをより身近なものにしています。さらに、ヘルスケア、自動車、金融、小売など、さまざまな分野でAIアプリケーションの採用が進んでおり、個別化医療、自律走行、自動ファイナンシャルアドバイザー、パーソナライズされたショッピング体験などの革新的なソリューションにディープラーニングが活用されています。最後に、AI研究や新興企業に対する官民両部門からの投資の増加は、ディープラーニング技術の革新と展開を促進し、市場の継続的な成長と変革を確実なものにしています。

調査対象企業の例（注目の合計234社）

  • Adapteva, Inc.
  • Amazon Web Services, Inc.
  • Fujitsu Ltd.
  • General Vision
  • Google Cloud Platform
  • Graphcore Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Intel Corporation
  • KONIKU
  • Mellanox Technologies, Inc.
  • Micron Technology, Inc.
  • Microsoft Corporation
  • Mythic
  • NVIDIA Corporation
  • Qualcomm, Inc.
  • Samsung Electronics Co., Ltd.
  • Sensory, Inc.
  • Skymind, Inc.
  • Tenstorrent Inc.
  • Xilinx Inc.

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP11484

Global Deep Learning Market to Reach US$360.4 Billion by 2030

The global market for Deep Learning estimated at US$50.5 Billion in the year 2023, is expected to reach US$360.4 Billion by 2030, growing at a CAGR of 32.4% over the analysis period 2023-2030. Deep Learning Software, one of the segments analyzed in the report, is expected to record a 31.7% CAGR and reach US$200.0 Billion by the end of the analysis period. Growth in the Deep Learning Services segment is estimated at 34.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$13.7 Billion While China is Forecast to Grow at 30.8% CAGR

The Deep Learning market in the U.S. is estimated at US$13.7 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$53.1 Billion by the year 2030 trailing a CAGR of 30.8% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 29.0% and 27.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 22.2% CAGR.

Global Deep Learning Market - Key Trends and Drivers Summarized

What Is Deep Learning and How Does It Shape Our Technological Landscape?

Deep learning, a subset of machine learning, relies on algorithms inspired by the structure and function of the brain called artificial neural networks. Designed to recognize patterns, interpret data, and make decisions, deep learning is at the forefront of advancing AI capabilities across various sectors. Unlike traditional programming, where tasks are completed according to explicit instructions, deep learning algorithms enable computers to learn from data, improving their accuracy over time. This approach has been pivotal in achieving significant breakthroughs in complex tasks such as speech recognition, image analysis, and predictive analytics. The ability of deep learning to process and analyze vast quantities of data with minimal human intervention is transforming industries by enhancing automation, increasing efficiency, and unlocking new capabilities.

Why Is Deep Learning Considered a Revolution in Artificial Intelligence?

Deep learning's impact on AI is profound because it solves problems that were once considered insurmountable with classical algorithms. At its core, deep learning automates predictive analytics, making it faster and more accurate. It excels in environments where the recognition of complex patterns is crucial, such as translating languages, diagnosing medical conditions, and driving autonomous vehicles. Each layer of a deep learning model builds an increased understanding, allowing these systems to make sense of data with a level of precision that mimics human intuition. As a result, technologies powered by deep learning are not just incrementally better; they are exponentially more capable, opening up a range of applications that were previously out of reach.

What Are the Challenges and Limitations of Implementing Deep Learning?

Despite its potential, deep learning comes with significant challenges and limitations that must be addressed. One of the main issues is the requirement for large amounts of labeled data to train deep learning models effectively. Acquiring and labeling this data can be resource-intensive and expensive. Additionally, deep learning models are often described as "black boxes" because their decision-making processes can be opaque, making it difficult to interpret how decisions are made. This lack of transparency can be problematic in applications where understanding the rationale behind decisions is critical, such as in medical diagnostics or judicial decision-making. Moreover, deep learning requires substantial computational power, particularly for training complex models, which can lead to increased energy consumption and higher operational costs.

What Drives the Growth in the Deep Learning Market?

The growth in the deep learning market is driven by several factors, including the exponential increase in data generated by digital devices, which provides the raw material for deep learning algorithms. As industries continue to digitize their operations, the demand for AI capabilities that can provide insights into this data is increasing. Technological advancements in processing power, such as GPUs and specialized hardware like TPUs, are also making deep learning more accessible by reducing the time and cost associated with training models. Additionally, there is growing adoption of AI applications across various sectors, including healthcare, automotive, finance, and retail, which rely on deep learning for innovative solutions such as personalized medicine, autonomous driving, automated financial advisors, and personalized shopping experiences. Finally, the increasing investment from both public and private sectors in AI research and startups is fueling innovation and deployment of deep learning technologies, ensuring continued growth and transformation of the market.

Select Competitors (Total 234 Featured) -

  • Adapteva, Inc.
  • Amazon Web Services, Inc.
  • Fujitsu Ltd.
  • General Vision
  • Google Cloud Platform
  • Graphcore Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Intel Corporation
  • KONIKU
  • Mellanox Technologies, Inc.
  • Micron Technology, Inc.
  • Microsoft Corporation
  • Mythic
  • NVIDIA Corporation
  • Qualcomm, Inc.
  • Samsung Electronics Co., Ltd.
  • Sensory, Inc.
  • Skymind, Inc.
  • Tenstorrent Inc.
  • Xilinx Inc.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Deep Learning - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
    • Global Economic Update
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Increasing Use of Deep Learning in Autonomous Vehicles Spurs Technological Innovations
    • Growing Demand for Image and Speech Recognition Enhances Deep Learning Deployments
    • Expansion of Natural Language Processing Applications Bolsters Market Growth
    • Growing Integration of AI in Healthcare Spurs Adoption of Deep Learning for Diagnostics
    • Rising Importance of Predictive Analytics in Business Operations Enhances Adoption
    • Expansion of Robotics and Automation Drives Deep Learning Market Growth
    • Increasing Adoption of Deep Learning in Financial Services for Fraud Detection
    • Increasing Use of Deep Learning in Edge Devices Enhances IoT Deployments
    • Innovations in Deep Learning for Drug Discovery and Genomics
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 2: World 7-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 3: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 4: World 7-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 6: World 7-Year Perspective for Hardware by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 7: World Recent Past, Current & Future Analysis for Image Recognition by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 8: World 7-Year Perspective for Image Recognition by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 9: World Recent Past, Current & Future Analysis for Signal Recognition by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 10: World 7-Year Perspective for Signal Recognition by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Data Mining by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 12: World 7-Year Perspective for Data Mining by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 13: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 14: World 7-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 15: World Recent Past, Current & Future Analysis for Security by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 16: World 7-Year Perspective for Security by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Marketing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 18: World 7-Year Perspective for Marketing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 19: World Recent Past, Current & Future Analysis for Retail by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 20: World 7-Year Perspective for Retail by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 21: World Recent Past, Current & Future Analysis for Manufacturing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 22: World 7-Year Perspective for Manufacturing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 23: World Recent Past, Current & Future Analysis for Automotive by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 24: World 7-Year Perspective for Automotive by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 25: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 26: World 7-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 27: World Deep Learning Market Analysis of Annual Sales in US$ Million for Years 2014 through 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Deep Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 29: World 7-Year Perspective for Deep Learning by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2024 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2024 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 31: USA 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 33: USA 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 35: USA 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • CANADA
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 37: Canada 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 39: Canada 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 41: Canada 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • JAPAN
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2024 (E)
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 43: Japan 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 45: Japan 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 47: Japan 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • CHINA
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2024 (E)
    • TABLE 48: China Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 49: China 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 51: China 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 53: China 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • EUROPE
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2024 (E)
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 55: Europe 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 57: Europe 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 59: Europe 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Deep Learning by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 61: Europe 7-Year Perspective for Deep Learning by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2024 & 2030
  • FRANCE
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2024 (E)
    • TABLE 62: France Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 63: France 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 65: France 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 67: France 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • GERMANY
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2024 (E)
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 69: Germany 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 71: Germany 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 73: Germany 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • ITALY
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 75: Italy 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 77: Italy 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 79: Italy 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • UNITED KINGDOM
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2024 (E)
    • TABLE 80: UK Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 81: UK 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 83: UK 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 85: UK 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • REST OF EUROPE
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • ASIA-PACIFIC
    • Deep Learning Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2024 (E)
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030
  • REST OF WORLD
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Deep Learning by Offering - Software, Services and Hardware - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 99: Rest of World 7-Year Perspective for Deep Learning by Offering - Percentage Breakdown of Value Sales for Software, Services and Hardware for the Years 2024 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Deep Learning by Application - Image Recognition, Signal Recognition, Data Mining and Other Applications - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 101: Rest of World 7-Year Perspective for Deep Learning by Application - Percentage Breakdown of Value Sales for Image Recognition, Signal Recognition, Data Mining and Other Applications for the Years 2024 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Deep Learning by End-Use - Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 103: Rest of World 7-Year Perspective for Deep Learning by End-Use - Percentage Breakdown of Value Sales for Security, Marketing, Retail, Manufacturing, Automotive and Other End-Uses for the Years 2024 & 2030

IV. COMPETITION