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세계의 딥러닝 시장 - 규모, 점유율, 성장 분석, 제공별, 용도별, 최종 사용자 산업별, 지역별 산업 예측(2024-2031년)
Deep Learning Market Size, Share, Growth Analysis, By Offering (Hardware, Software), By Application, By End-User Industry, By Region - Industry Forecast 2024-2031
상품코드 : 1614944
리서치사 : SkyQuest
발행일 : 2024년 12월
페이지 정보 : 영문 193 Pages
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한글목차

딥러닝 세계 시장 규모는 2022년에는 483억 7,000만 달러로 평가되었고, 2023년에는 641억 3,000만 달러, 2031년에는 6,121억 8,000만 달러로 성장해 예측 기간(2024-2031년)의 CAGR은 32.58%로 나타날 전망입니다.

딥러닝 시장은 컴퓨팅 능력 향상, 하드웨어 비용 저하, 클라우드 기반 기술의 급증으로 강력한 성장을 이루고 있습니다. 1일 당 약 2.5조 바이트의 데이터가 유입되고 있으며, 이를 관리하기 위해 기업은 보다 높은 처리 능력을 요구하게 되어 있습니다. 이 솔루션은 적응성과 확장성이 뛰어난 통찰력을 효율적으로 제공할 수 있는 큰 기회를 제공합니다. 비용 절감 AI 및 머신러닝의 하위 집합인 딥러닝은 인간의 인지 기능을 모방하여 고급 분류, 패턴 인식, 이미지 라벨링 및 음성 전송과 같은 작업의 자동화를 가능하게 합니다.

목차

소개

조사 방법

주요 요약

시장 역학과 전망

주요 시장 인사이트

딥러닝 시장 규모 : 제공별 & CAGR(2024-2031)

딥러닝 시장 규모 : 용도별 & CAGR(2024-2031)

딥러닝 시장 규모 : 최종 사용자 산업별 & CAGR(2024-2031)

딥러닝 시장 규모 : 지역별 & CAGR(2024-2031)

경쟁 정보

주요 기업 프로파일

결론과 권장사항

JHS
영문 목차

영문목차

Global Deep Learning Market size was valued at USD 48.37 Billion in 2022 and is poised to grow from USD 64.13 Billion in 2023 to USD 612.18 Billion by 2031, growing at a CAGR of 32.58% in the forecast period (2024-2031).

The deep learning market is experiencing robust growth, driven by enhanced computational capabilities, decreasing hardware costs, and a surge in cloud-based technologies. Organizations are increasingly demanding higher processing power to manage the influx of data-approximately 2.5 quintillion bytes daily-fuelled by the proliferation of Internet of Things (IoT) devices across various sectors. This expansive data landscape presents substantial opportunities for deep learning solutions to offer adaptive and scalable insights efficiently. Additionally, cloud analytics streamlines the extraction of critical information from large datasets while reducing infrastructure and operational costs. Deep learning, a subset of AI and machine learning, mimics human cognitive functions, enabling advanced classification, pattern recognition, and automation of tasks such as image labeling and audio transcription.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Deep Learning market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Deep Learning Market Segmental Analysis

Global Deep Learning Market is segmented by Offering, Application, End-User Industry and region. Based on Offering, the market is segmented into Hardware (Processor, Memory, Network), Software (Solution, Platform/API), Services (Installation, Training, Support & Maintenance). Based on Application, the market is segmented into Image Recognition, Signal Recognition, Data Mining, Others (Recommender System, Drug Discovery). Based on End-User Industry, the market is segmented into Healthcare, Manufacturing, Automotive, Agriculture, Retail, Security, Human Resources, Marketing, Law, and Fintech. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Deep Learning Market

One of the primary drivers of the Global Deep Learning market is its increasing adoption in the healthcare sector. Deep learning technologies are rapidly transforming this industry by enhancing diagnostic precision and enabling personalized treatment strategies. Healthcare providers are increasingly implementing deep learning algorithms to scrutinize medical imaging, such as MRI and CT scans, allowing for the early detection of diseases like cancer. This trend towards utilizing advanced algorithms revolutionizes patient care, making diagnostics more accurate and efficient. As a result, the healthcare industry's focus on integrating deep learning solutions is significantly contributing to the growth of the Global Deep Learning market.

Restraints in the Global Deep Learning Market

One of the significant restraints affecting the Global Deep Learning market is its limited integration with big data. Deep learning relies heavily on extensive and reliable data sets for training, which enhances its performance. However, the scarcity of adequate, trustworthy data can hinder the effectiveness of deep learning systems. For these data models to operate optimally, they require a substantial volume of information. Unfortunately, the difficulty in gathering these vital resources poses a challenge to the entire deep learning ecosystem, impeding advancements and limiting the potential for innovation within the market.

Market Trends of the Global Deep Learning Market

The Global Deep Learning market is witnessing a significant trend as the manufacturing sector increasingly adopts advanced deep learning technologies to enhance operational efficiency and precision. By leveraging sophisticated algorithms for predictive maintenance, manufacturers can proactively identify potential machine failures, thereby minimizing downtime and optimizing production schedules. This shift not only accelerates manufacturing processes but also reduces operational costs, leading to a highly competitive environment. As companies strive for greater automation and innovation, the integration of deep learning in manufacturing is set to reshape industry standards, driving substantial growth in the global deep learning market over the coming years.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Deep Learning Market Size by Offering & CAGR (2024-2031)

Global Deep Learning Market Size by Application & CAGR (2024-2031)

Global Deep Learning Market Size by End-User Industry & CAGR (2024-2031)

Global Deep Learning Market Size & CAGR (2024-2031)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendation

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