딥러닝 시장 : 세계 업계 분석, 규모, 점유율, 성장, 동향, 예측(2024-2031년)

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