Global Deep Learning Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2025 –2032 |
 Market Size (Base Year) |
USD 7.28 Billion |
 Market Size (Forecast Year) |
USD 77.91 Billion |
 CAGR |
% |
| Major Markets Players |
|
>全球深度学习市场，按硬件（处理器、内存、网络）、软件（解决方案平台/API）、服务（安装、培训、支持和维护）、应用（信号识别、数据挖掘、图像识别、其他）、最终用户（汽车、法律、农业、零售、营销、安全、医疗保健、制造、金融科技、人力资源）划分 - 行业趋势和预测到 2029 年。
市场分析和规模
深度学习技术广泛应用于自然语言处理 (NLP)、语音识别软件、语言翻译服务、图像识别工具和语音识别软件等领域。该技术对医疗保健、农业、制造业、零售业、汽车业和安全业大有裨益。
2021 年全球深度学习市场价值为 29.9 亿美元，预计到 2029 年将达到 687 亿美元，在 2022-2029 年预测期内的复合年增长率为 34.50%。“图像识别”是各自市场中最大的应用行业细分市场，因为它在识别文本、图像、声音和视频等非结构化数据中的模式方面使用率很高。Data Bridge 市场研究团队策划的市场报告包括深入的专家分析、进出口分析、定价分析、生产消费分析和 pestle 分析。
市场定义
深度学习是机器学习的一个分支，它融合了一系列算法和计算机指令，这些算法和指令通常受到大脑结构和功能的启发。这项技术也可以称为一种帮助计算机通过示例进行学习的机器学习技术。
报告范围和市场细分
|
报告指标 |
细节 |
|
预测期 |
2022 至 2029 年 |
|
基准年 |
2021 |
|
历史岁月 |
2020（可定制至 2019 - 2014） |
|
定量单位 |
收入（单位：十亿美元）、销量（单位：台）、定价（美元） |
|
涵盖的领域 |
硬件（处理器、内存、网络）、软件（解决方案平台/API）、服务（安装、培训、支持和维护）、应用（信号识别、数据挖掘、图像识别、其他）、最终用户（汽车、法律、农业、零售、营销、安全、医疗保健、制造、金融科技、人力资源） |
|
覆盖国家 |
北美洲的美国、加拿大和墨西哥、欧洲的德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其、欧洲其他地区、亚太地区 (APAC) 的中国、日本、印度、韩国、新加坡、马来西亚、澳大利亚、泰国、印度尼西亚、菲律宾、亚太地区 (APAC) 的其他地区、沙特阿拉伯、阿联酋、以色列、埃及、南非、中东和非洲 (MEA) 的其他地区、巴西、阿根廷和南美洲的其他地区。 |
|
涵盖的市场参与者 |
Baumer Optronic GmbH (Germany), JAI A/S (Denmark), MVTec Software GmbH (Germany), Tordivel AS (Norway), ISRA VISION (Germany), FLIR Systems, Inc. (US), AMETEK.Inc (US), Qualitas Technologies Pvt Ltd (India), SUALAB (South Korea), Cadence Design Systems, Inc. (US), CEVA, Inc. (US), Inuitive (US), Cognex Corporation (US), Basler AG (Germany), Omron Corporation (Japan), Keyence Corporation (Japan), National Instruments (US), Sony Corporation (Japan), Teledyne Technologies, Inc. (US), Allied Vision Technologies GmbH (Germany), and Texas Instruments Inc. (US), among others |
|
Market Opportunities |
|
Deep Learning Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:
Drivers
- Rise in Trend of Digitalization
The rise in trend of digitalization along with expansion of information technology (IT) industry across the globe is one of the major factors driving the growth of deep learning market. Deep learning algorithms are capable of automatically intercepting available data points that improves accuracy and efficiency of the decision-making process.
- Increase in Cyber Attacks
The increase in the number of cyber-attacks encouraging industries to employ database management, fraud detection systems and cybersecurity accelerate the market. This technology is used for processing medical images for drug discovery, and disease diagnosis delivering virtual patient assistance in the healthcare sector.
- Integration with Advanced Technologies
The integration with big data analytics and cloud computing to offer enhanced services to various industries further influence the market. The research and development (RandD) activities improve hardware and software processing solutions for deep learning.
Additionally, rapid urbanization, change in lifestyle, surge in investments and increased consumer spending positively impact the deep learning market.
Opportunities
Furthermore, presence of limited structured data to increase demand for deep learning solutions extend profitable opportunities to the market players in the forecast period of 2022 to 2029. Also, high spending in travel, tourism, healthcare, and hospitality industries will further expand the market.
Restraints/Challenges
On the other hand, increase in complexity in hardware due to complex algorithm used in technology and lack of technical expertise are expected to obstruct market growth. Also, lack of flexibility and multitasking, and absence of standards and protocols are projected to challenge the deep learning market in the forecast period of 2022-2029.
This deep learning market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on deep learning market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Covid-19 Impact on Deep Learning Market
The COVID-19 had a negative impact on the deep learning market owing to the strict lockdowns and social distancing to contain the spread of the virus. The economic uncertainty, partial shutdown of the business and low consumer confidence impacted demand deep learning market. The supply chain got hampered during the pandemic along with delay logistics activities. However, the deep learning market is expected to regain its pace during the post pandemic scenario due to the easing on the restrictions.
Recent Developments
- Larsen and Toubro Infotech joined hands with Amazon Web Services in June’2021. Larsen and Toubro Infotech launched a dedicated cloud unit for AWS to focus on migration and modernization, data analytics, Internet of things, and data analytics.
Global Deep Learning Market Scope and Market Size
The deep learning market is segmented on the basis of hardware, software, services, application and end user. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Hardware
- Processor
- GPU
- FPGA
- CPU
- Others
- Memory
- Network
Software
- Solution
- Platform
- API
Services
- Installation
- Training
- Support and Maintenance
Application
- Signal Recognition
- Data Mining
- Image Recognition
- Other
End User
- Automotive
- Autonomous Driving
- Human–Machine Interface
- Semiautonomous Driving
- Law
- Agriculture
- Precision Farming
- Livestock Monitoring
- Drone Analytics
- Agricultural Robots
- Others
- Retail
Product Recommendation and Planning
- Customer Relationship Management
- Visual Search
- Virtual Assistant
- Price Optimization
- Payment Services Management
- Supply Chain Management
- Demand Planning
- Others
Marketing
- Security
- Identity and Access Management
- Risk and Compliance Management
- Encryption
- Data Loss Prevention
- Unified Threat Management
- Antivirus/Antimalware
- Intrusion Detection/Prevention Systems
- Others
- Healthcare
- Patient Data and Risk Analysis
- Lifestyle Management and Monitoring
- Precision Medicine
- Inpatient Care and Hospital Management
- Medical Imaging and Diagnostics
- Drug Discovery
- Virtual Assistant
- Wearables
- Research
- Manufacturing
- Material Movement
- Predictive Maintenance and Machinery Inspection
- Production Planning
- Field Services
- 开垦
- 质量控制
- 精细技术
- 人力资源
深度学习市场区域分析/洞察
对深度学习市场进行分析，并按国家、硬件、软件、服务、应用和最终用户提供市场规模洞察和趋势。
深度学习市场报告涵盖的国家包括北美的美国、加拿大和墨西哥、欧洲的德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其、欧洲其他地区、中国、日本、印度、韩国、新加坡、马来西亚、澳大利亚、泰国、印度尼西亚、菲律宾、亚太地区（APAC）的其他地区、沙特阿拉伯、阿联酋、以色列、埃及、南非、中东和非洲（MEA）的其他地区、南美洲的巴西、阿根廷和南美洲其他地区。
由于北美对人工智能和神经网络的投资增加，北美在深度学习市场占据主导地位。
由于该地区联邦政府内设立了人工智能和机器学习小组委员会，预计亚太地区将在 2022 年至 2029 年的预测期内出现显著增长。
报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化会影响市场的当前和未来趋势。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测单个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的激烈或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
竞争格局和深度学习市场
深度学习市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对深度学习市场的关注有关。
深度学习市场的一些主要参与者包括
- Baumer Optronic GmbH（德国）
- JAI A/S（丹麦）
- MVTec Software GmbH（德国）
- Tordivel AS（挪威）
- ISRA VISION（德国）
- FLIR Systems, Inc.（美国）
- AMETEK.Inc（美国）
- Qualitas Technologies Pvt Ltd（印度）
- SUALAB（韩国）
- Cadence 设计系统公司 (美国)
- CEVA 公司（美国）
- 直观（美国）
- 康耐视公司（美国）
- 巴斯勒公司 (德国)
- 欧姆龙株式会社（日本）
- 基恩士公司 (日本)
- 美国国家仪器公司
- 索尼公司（日本）
- Teledyne Technologies, Inc.（美国）
- Allied Vision Technologies GmbH（德国）
- 德州仪器公司（美国）
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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