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封面
市场调查报告书
商品编码
1607939

Deep学习的全球市场:产业分析，规模，占有率，成长，趋势，预测(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个工作天内

价格
简介目录

预计全球深度学习市场规模将在 2024 年达到 365 亿美元，在 2024 年至 2031 年的预测期内复合年增长率为 32.1%，预计到 2031 年将达到 2559 亿美元。

深度学习是机器学习的一个子集，利用神经网路执行复杂的任务，例如影像和语音辨识、自然语言处理和自动驾驶。全球深度学习市场是由人工智慧技术在医疗保健、製造和金融等各个行业的日益采用所推动的。大数据可用性的增加、运算能力的增强以及神经网路演算法的进步是推动深度学习市场成长的主要因素。此外，对自动化和人工智慧驱动的决策过程的需求正在加速深度学习模型的采用。

全球深度学习市场的成长由几个关键因素推动，包括人工智慧和机器学习技术的进步、资料生成的快速成长以及深度学习模型在不同应用中的部署不断增加。医疗保健和金融等行业正在将深度学习应用于预测分析、诈欺检测和药物发现等用例。此外，人工智慧研究投资的增加以及各领域对自动化的需求不断增长也有助于市场扩张。此外，基于云端的深度学习平台的出现促进了可扩展性和可访问性，从而推动了采用。

全球深度学习市场提供了巨大的成长机会，特别是在医疗保健、金融和安全等领域，深度学习可以提高营运效率和决策能力。深度学习在机器人、自主系统和智慧城市中的日益普及为市场扩张提供了新的途径。此外，製造、媒体和娱乐等行业对人工智慧解决方案不断增长的需求可能会继续推动市场成长。人工智慧公司、云端服务供应商和最终用途产业之间的策略合作伙伴关係可以进一步释放新的市场机会。

本报告提供全球Deep学习市场相关调查，提供最终用途各产业，各地区趋势，及加入此市场的主要企业简介等资讯。

目录

第1章 摘要整理

第2章 市场简介

第3章 市场观点

第4章 全球Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第5章 北美的Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第6章 南美的Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第7章 西欧的Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第8章 东欧的Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第9章 日本以外亚太地区的Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第10章 日本的Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第11章 中东·非洲的Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)

第12章 竞争情形

  • 市场结构
  • 市场占有率分析
  • 竞争仪表板
  • 企业简介
    • 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学习市场分析(2019年～2023年)及预测(2024年～2031年)

第14章 全球Deep学习市场分析(2019年～2023年)及预测(2024年～2031年)，最终用途各产业

第15章 全球市场分析(2019年～2023年)及预测(2024年～2031年)

第16章 市场前提和缩写

第17章 调查手法

简介目录
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