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

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

Deep Learning Market: Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2031

상품코드 : 1607939

리서치사 : Persistence Market Research

발행일 : 2024년 12월

페이지 정보 : 영문 238 Pages

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한글목차

샘플 요청 목록에 추가

세계의 딥러닝 시장 규모는 2024년에 365억 달러에 달할 것으로 보이며, 2024-2031년의 예측 기간에 32.1%의 CAGR로 확대하며, 2031년에는 2,559억 달러에 달할 것으로 예측됩니다.

머신러닝의 하위 집합인 딥러닝은 이미지 인식, 음성 인식, 자연 언어 처리, 자율주행과 같은 복잡한 작업을 수행하기 위해 신경망을 활용합니다. 세계 딥러닝 시장은 헬스케어, 제조, 금융 등 다양한 산업에서 AI 기술 도입이 확대되면서 성장세를 보이고 있습니다. 빅데이터의 가용성 증가, 컴퓨팅 성능 향상, 신경망 알고리즘의 발전은 딥러닝 시장의 성장을 가속하는 주요 요인으로 작용하고 있습니다. 또한 자동화 및 AI 기반 의사결정 프로세스에 대한 수요로 인해 딥러닝 모델 채택이 가속화되고 있습니다.

세계 딥러닝 시장의 성장은 AI 및 머신러닝 기술의 발전, 데이터 생성의 급증, 다양한 용도에서의 딥러닝 모델 적용 증가 등 몇 가지 주요 요인에 의해 주도되고 있습니다. 헬스케어 및 금융과 같은 산업은 예측 분석, 부정행위 감지, 신약 개발 등의 이용 사례에 딥러닝을 도입하고 있습니다. 또한 AI 연구에 대한 투자 증가와 다양한 분야의 자동화 요구가 증가하면서 시장 확대에 기여하고 있습니다. 또한 클라우드 기반 딥러닝 플랫폼의 등장으로 확장성과 접근성이 용이해져 채택을 촉진하고 있습니다.

세계 딥러닝 시장은 특히 헬스케어, 금융, 보안 등 딥러닝을 통해 업무 효율성과 의사결정을 강화할 수 있는 분야에서 큰 성장 기회를 제공합니다. 로봇 공학, 자율 시스템, 스마트 시티에서 딥러닝의 활용이 증가하면서 시장 확대의 새로운 길을 제시하고 있습니다. 또한 제조, 미디어 및 엔터테인먼트 등의 산업에서 AI 기반 솔루션에 대한 수요 증가는 시장 성장을 가속할 것으로 예상되며, AI 기업, 클라우드 서비스 프로바이더, 최종 사용 산업 간의 전략적 파트너십을 통해 새로운 기회를 창출할 수 있을 것으로 보입니다. 새로운 기회를 창출할 수 있습니다.

세계의 딥러닝 시장에 대해 조사했으며, 최종 용도 산업별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 제공하고 있습니다.

영문목차

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

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.

한글목차

목차

제1장 개요

제2장 시장 서론

제3장 시장의 시점

제4장 세계의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제5장 북미의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제6장 라틴아메리카의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제7장 서유럽의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제8장 동유럽 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제9장 일본을 제외한 아시아태평양의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제10장 일본의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제11장 중동 및 아프리카의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제12장 경쟁 구도

제13장 세계의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년)

제14장 세계의 딥러닝 시장 분석(2019-2023년) 및 예측(2024-2031년), 최종 용도 산업별

제15장 세계의 시장 분석(2019-2023년) 및 예측(2024-2031년)

제16장 시장의 전제와 두자어

제17장 조사 방법

영문목차

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