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市場調查報告書
商品編碼
1607939

Deep學習的全球市場:產業分析，規模，佔有率，成長，趨勢，預測(2024年～2031年)

Deep Learning Market: Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2031
出版日期: | 出版商: Persistence Market Research | 英文 238 Pages | 商品交期: 2-5個工作天內

價格
簡介目錄

預計全球深度學習市場規模將在 2024 年達到 365 億美元，在 2024 年至 2031 年的預測期內複合年增長率為 32.1%，預計到 2031 年將達到 2559 億美元。

深度學習是機器學習的一個子集，利用神經網路執行複雜的任務，例如影像和語音辨識、自然語言處理和自動駕駛。全球深度學習市場是由人工智慧技術在醫療保健、製造和金融等各個行業的日益採用所推動的。大數據可用性的增加、運算能力的增強以及神經網路演算法的進步是推動深度學習市場成長的主要因素。此外，對自動化和人工智慧驅動的決策過程的需求正在加速深度學習模型的採用。

全球深度學習市場的成長由幾個關鍵因素推動，包括人工智慧和機器學習技術的進步、資料生成的快速成長以及深度學習模型在不同應用中的部署不斷增加。醫療保健和金融等行業正在將深度學習應用於預測分析、詐欺檢測和藥物發現等用例。此外，人工智慧研究投資的增加以及各領域對自動化的需求不斷增長也有助於市場擴張。此外，基於雲端的深度學習平台的出現促進了可擴展性和可訪問性，從而推動了採用。

全球深度學習市場提供了巨大的成長機會，特別是在醫療保健、金融和安全等領域，深度學習可以提高營運效率和決策能力。深度學習在機器人、自主系統和智慧城市中的日益普及為市場擴張提供了新的途徑。此外，製造、媒體和娛樂等行業對人工智慧解決方案不斷增長的需求可能會繼續推動市場成長。人工智慧公司、雲端服務供應商和最終用途產業之間的策略合作夥伴關係可以進一步釋放新的市場機會。

本報告提供全球Deep學習市場相關調查，提供最終用途各產業，各地區趨勢，及加入此市場的主要企業簡介等資訊。

目錄

第1章 摘要整理

第2章 市場簡介

第3章 市場觀點

第4章 全球Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第5章 北美的Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第6章 南美的Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第7章 西歐的Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第8章 東歐的Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第9章 日本以外亞太地區的Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第10章 日本的Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第11章 中東·非洲的Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第12章 競爭情形

  • 市場結構
  • 市場佔有率分析
  • 競爭儀表板
  • 企業簡介
    • Google Inc.
    • Microsoft Corp.
    • IBM Corporation
    • Facebook Inc.
    • Qualcomm Technologies, Inc.
    • NVIDIA Corp.
    • Amazon.com, Inc.
    • Intel Corporation
    • Clarifai, Inc.
    • Deep Instinct Ltd.

第13章 全球Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)

第14章 全球Deep學習市場分析(2019年～2023年)及預測(2024年～2031年)，最終用途各產業

第15章 全球市場分析(2019年～2023年)及預測(2024年～2031年)

第16章 市場前提和縮寫

第17章 調查手法

簡介目錄
Product Code: PMRREP20281

Persistence Market Research has recently released a comprehensive report on the global Deep Learning Market, providing an in-depth analysis of key market dynamics, including driving forces, emerging trends, opportunities, and challenges. This report offers a detailed understanding of the market landscape, helping stakeholders make well-informed decisions.

Key Insights:

  • Market Size (2024E): USD 36.5 Bn
  • Projected Market Value (2031F): USD 255.9 Bn
  • Global Market Growth Rate (CAGR 2024 to 2031): 32.1%

Deep Learning Market - Report Scope:

Deep learning, a subset of machine learning, utilizes neural networks to perform complex tasks such as image and speech recognition, natural language processing, and autonomous driving. The global deep learning market is driven by the growing adoption of AI technologies across various industries such as healthcare, manufacturing, and finance. The increasing availability of big data, improved computing power, and advancements in neural network algorithms are major factors fueling the growth of the deep learning market. Furthermore, the demand for automation and AI-driven decision-making processes is accelerating the adoption of deep learning models.

Market Growth Drivers:

The growth of the global deep learning market is driven by several key factors, including advancements in AI and machine learning technologies, the surge in data generation, and the increasing deployment of deep learning models in diverse applications. Industries such as healthcare and finance are adopting deep learning for predictive analytics, fraud detection, and drug discovery, among other use cases. Additionally, the increasing investment in AI research, coupled with the growing need for automation in various sectors, is contributing to market expansion. The emergence of cloud-based deep learning platforms also facilitates scalability and accessibility, thereby promoting adoption.

Market Restraints:

Despite its rapid growth, the deep learning market faces challenges such as high computational requirements, the need for large datasets, and a shortage of skilled professionals in AI and machine learning fields. The complexity of implementing deep learning models and the significant costs associated with infrastructure development can act as barriers for smaller organizations. Additionally, concerns regarding data privacy, security, and ethical issues related to AI applications may slow the market's growth. Overcoming these challenges will require continued innovation in algorithm development and educational initiatives to address the skills gap.

Market Opportunities:

The global deep learning market offers significant growth opportunities, particularly in sectors such as healthcare, finance, and security, where deep learning can enhance operational efficiency and decision-making. The rising use of deep learning in robotics, autonomous systems, and smart cities presents new avenues for market expansion. Moreover, the growing demand for AI-enabled solutions in industries such as manufacturing and media & entertainment will continue to drive market growth. Strategic partnerships between AI firms, cloud service providers, and end-use industries can further unlock new opportunities in the market.

Key Questions Answered in the Report:

  • What are the primary factors driving global growth in the deep learning market?
  • Which end-use industries are adopting deep learning technologies at the highest rate?
  • How are advancements in AI algorithms and computing power influencing market dynamics?
  • Who are the key players in the deep learning market, and what strategies are they employing to maintain a competitive edge?
  • What are the emerging trends and future prospects in the global deep learning market?

Competitive Intelligence and Business Strategy:

Leading companies in the global deep learning market, such as Google Inc., Microsoft Corp., and NVIDIA Corp., are focusing on innovation, product diversification, and strategic collaborations to maintain a competitive edge. These companies are investing heavily in research and development to enhance their AI capabilities and deepen the integration of deep learning technologies into their existing solutions. Partnerships with research institutions, AI startups, and industry leaders are essential for driving innovation and expanding market reach. Moreover, developing scalable, cloud-based deep learning platforms and ensuring high performance at lower costs are crucial strategies to remain competitive in this fast-evolving market.

Key Companies Profiled:

  • Google Inc.
  • Microsoft Corp.
  • IBM Corporation
  • Facebook Inc.
  • Qualcomm Technologies, Inc.
  • NVIDIA Corp.
  • Amazon.com, Inc.
  • Intel Corporation
  • Clarifai, Inc.
  • Deep Instinct Ltd.

Deep Learning Industry Research by Category:

By End Use Industry:

  • Manufacturing
  • Healthcare
  • Media & Entertainment
  • Security
  • Finance
  • Others

By Region:

  • North America
  • Latin America
  • Western Europe
  • Eastern Europe
  • Asia Pacific Excluding Japan
  • Japan
  • Middle East and Africa

Table of Contents

1. Executive Summary

  • 1.1. Market Overview
  • 1.2. Market Analysis
  • 1.3. PMR Analysis and Recommendations

2. Market Introduction

  • 2.1. Market Taxonomy
  • 2.2. Market Definition
  • 2.3. Market Hierarchy
  • 2.4. Market Snapshot

3. Market View Point

  • 3.1. Macro-Economic Factors
  • 3.2. Opportunity and Trend Analysis

4. Global Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

  • 4.1. Market Size and Y-o-Y Growth
  • 4.2. Absolute $ Opportunity
  • 4.3. Value Chain

5. North America Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

  • 5.1. Introduction
  • 5.2. Key Takeaways
  • 5.3. Regional Market Dynamics
    • 5.3.1. Drivers
    • 5.3.2. Restraints
  • 5.4. Drivers and Restraints: Impact Analysis
  • 5.5. Market Size (US$ Bn) By Country, 2019-2023
    • 5.5.1. U.S.
    • 5.5.2. Canada
  • 5.6. Market Size (US$ Bn) and Forecast By Country, 2024-2031
    • 5.6.1. U.S.
    • 5.6.2. Canada
  • 5.7. Market Size (US$ Bn) and Forecast By End Use Industry
    • 5.7.1. Manufacturing
    • 5.7.2. Healthcare
    • 5.7.3. Media & Entertainment
    • 5.7.4. Security
    • 5.7.5. Finance
    • 5.7.6. Others
  • 5.8. Market Attractiveness Analysis
    • 5.8.1. By Country
    • 5.8.2. By End Use Industry

6. Latin America Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

  • 6.1. Introduction
  • 6.2. Key Takeaways
  • 6.3. Regional Market Dynamics
    • 6.3.1. Drivers
    • 6.3.2. Restraints
  • 6.4. Drivers and Restraints: Impact Analysis
  • 6.5. Market Size (US$ Bn) By Country, 2019-2023
    • 6.5.1. Brazil
    • 6.5.2. Mexico
    • 6.5.3. Argentina
    • 6.5.4. Rest of Latin America
  • 6.6. Market Size (US$ Bn) and Forecast By Country, 2024-2031
    • 6.6.1. Brazil
    • 6.6.2. Mexico
    • 6.6.3. Argentina
    • 6.6.4. Rest of Latin America
  • 6.7. Market Size (US$ Bn) and Forecast By End Use Industry
    • 6.7.1. Manufacturing
    • 6.7.2. Healthcare
    • 6.7.3. Media & Entertainment
    • 6.7.4. Security
    • 6.7.5. Finance
    • 6.7.6. Others
  • 6.8. Market Attractiveness Analysis
    • 6.8.1. By Country
    • 6.8.2. By End Use Industry

7. Western Europe Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

  • 7.1. Introduction
  • 7.2. Key Takeaways
  • 7.3. Regional Market Dynamics
    • 7.3.1. Drivers
    • 7.3.2. Restraints
  • 7.4. Drivers and Restraints: Impact Analysis
  • 7.5. Market Size (US$ Bn) By Country, 2019-2023
    • 7.5.1 Germany
    • 7.5.2. UK
    • 7.5.3. France
    • 7.5.4. Nordic
    • 7.5.5. BENELUX
    • 7.5.6. Rest of Western Europe
  • 7.6 Market Size (US$ Bn) and Forecast By Country, 2024-2031
    • 7.6.1 Germany
    • 7.6.2 UK
    • 7.6.3 France
    • 7.6.4 Nordic
    • 7.6.5 BENELUX
    • 7.6.6 Rest of Western Europe
  • 7.7. Market Size (US$ Bn) and Forecast By End Use Industry
    • 7.7.1. Manufacturing
    • 7.7.2. Healthcare
    • 7.7.3. Media & Entertainment
    • 7.7.4. Security
    • 7.7.5. Finance
    • 7.7.6. Others
  • 7.8. Market Attractiveness Analysis
    • 7.8.1. By Country
    • 7.8.2. By End Use Industry

8. Eastern Europe Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

  • 8.1. Introduction
  • 8.2. Key Takeaways
  • 8.3. Regional Market Dynamics
    • 8.3.1. Drivers
    • 8.3.2. Restraints
  • 8.4. Drivers and Restraints: Impact Analysis
  • 8.5. Market Size (US$ Bn) By Country, 2019-2023
    • 8.5.1. Poland
    • 8.5.2. Russia
    • 8.5.3. Rest of Eastern Europe
  • 8.6. Market Size (US$ Bn) and Forecast By Country, 2024-2031
    • 8.6.1. Poland
    • 8.6.2. Russia
    • 8.6.3. Rest of Eastern Europe
  • 8.7. Market Size (US$ Bn) and Forecast By End Use Industry
    • 8.7.1. Manufacturing
    • 8.7.2. Healthcare
    • 8.7.3. Media & Entertainment
    • 8.7.4. Security
    • 8.7.5. Finance
    • 8.7.6. Others
  • 8.8. Market Attractiveness Analysis
    • 8.8.1. By Country
    • 8.8.2. By End Use Industry

9. Asia Pacific Excluding Japan (APEJ) Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

  • 9.1. Introduction
  • 9.2. Key Takeaways
  • 9.3. Regional Market Dynamics
    • 9.3.1. Drivers
    • 9.3.2. Restraints
  • 9.4. Drivers and Restraints: Impact Analysis
  • 9.5. Market Size (US$ Bn) By Country, 2019-2023
    • 9.5.1. China
    • 9.5.2. ASEAN
    • 9.5.3. India
    • 9.5.4. New Zealand & Australia
    • 9.5.5. Rest of APEJ
  • 9.6. Market Size (US$ Bn) and Forecast By Country, 2024-2031
    • 9.6.1. China
    • 9.6.2. ASEAN
    • 9.6.3. India
    • 9.6.4. New Zealand & Australia
    • 9.6.5. Rest of APEJ
  • 9.7. Market Size (US$ Bn) and Forecast By End Use Industry
    • 9.7.1. Manufacturing
    • 9.7.2. Healthcare
    • 9.7.3. Media & Entertainment
    • 9.7.4. Security
    • 9.7.5. Finance
    • 9.7.6. Others
  • 9.8. Market Attractiveness Analysis
    • 9.8.1. By Country
    • 9.8.2. By End Use Industry

10. Japan Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031 Introduction

  • 10.1. Key Takeaways
  • 10.2. Regional Market Dynamics
    • 10.2.1. Drivers
    • 10.2.2. Restraints
  • 10.3. Drivers and Restraints: Impact Analysis
  • 10.4. Market Size (US$ Bn) By Country, 2019-2023
    • 10.4.1. Japan
  • 10.5. Market Size (US$ Bn) and Forecast By Country, 2024-2031
    • 10.5.1. Japan
  • 10.6. Market Size (US$ Bn) and Forecast By End Use Industry
    • 10.6.1. Manufacturing
    • 10.6.2. Healthcare
    • 10.6.3. Media & Entertainment
    • 10.6.4. Security
    • 10.6.5. Finance
    • 10.6.6. Others
  • 10.7. Market Attractiveness Analysis
    • 10.7.1. By Country
    • 10.7.2. By End Use Industry

11. Middle East and Africa Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

  • 11.1. Introduction
  • 11.2. Key Takeaways
  • 11.3. Regional Market Dynamics
    • 11.3.1. Drivers
    • 11.3.2. Restraints
  • 11.4. Drivers and Restraints: Impact Analysis
  • 11.5. Market Size (US$ Bn) By Country, 2019-2023
    • 11.5.1. GCC
    • 11.5.2. Turkey
    • 11.5.3. South Africa
    • 11.5.4. North Africa
    • 11.5.5. Rest of MEA
  • 11.6. Market Size (US$ Bn) and Forecast By Country, 2024-2031
    • 11.6.1. GCC
    • 11.6.2. Turkey
    • 11.6.3. South Africa
    • 11.6.4. North Africa
    • 11.6.5. Rest of MEA
  • 11.7. Market Size (US$ Bn) and Forecast By End Use Industry
    • 11.7.1. Manufacturing
    • 11.7.2. Healthcare
    • 11.7.3. Media & Entertainment
    • 11.7.4. Security
    • 11.7.5. Finance
    • 11.7.6. Others
  • 11.8. Market Attractiveness Analysis
    • 11.8.1. By Country
    • 11.8.2. By End Use Industry

12. Competition Landscape

  • 12.1. Market Structure
  • 12.2. Market Share Analysis
  • 12.3. Competition Dashboard
  • 12.4. Company Profile
    • 12.4.1. Google Inc.
    • 12.4.2. Microsoft Corp.
    • 12.4.3. IBM Corporation
    • 12.4.4. Facebook Inc.
    • 12.4.5. Qualcomm Technologies, Inc.
    • 12.4.6. NVIDIA Corp.
    • 12.4.7. Amazon.com, Inc.
    • 12.4.8. Intel Corporation
    • 12.4.9. Clarifai, Inc.
    • 12.4.10. Deep Instinct Ltd.

13. Global Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031

14. Global Deep Learning Market Analysis 2019-2023 and Forecast 2024-2031, By End Use Industry

15. Global Market Analysis 2019-2023 and Forecast 2024-2031

16. Market Assumptions and Acronyms

17. Research Methodology