Global Deep Learning In Computer Vision Market
市场规模（十亿美元）
CAGR :
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 Forecast Period |
2023 –0 |
 Market Size (Base Year) |
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 Market Size (Forecast Year) |
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 CAGR |
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>全球计算机视觉深度学习市场，按硬件（中央处理器 (CPU)、图形处理器 (GPU)、其他）、解决方案（硬件、软件、服务）、应用程序（图像识别、语音识别、其他）、最终用户（汽车、医疗保健、其他）、国家（美国、加拿大、墨西哥、巴西、阿根廷、南美洲其他地区、德国、法国、意大利、英国、比利时、西班牙、俄罗斯、土耳其、荷兰、瑞士、欧洲其他地区、日本、中国、印度、韩国、澳大利亚、新加坡、马来西亚、泰国、印度尼西亚、菲律宾、亚太其他地区、阿联酋、沙特阿拉伯、埃及、南非、以色列、中东和非洲其他地区）划分 - 行业趋势和预测到 2029 年。
计算机视觉市场深度学习的市场分析与洞察
预计计算机视觉市场中的深度学习将在 2022 年至 2029 年的预测期内实现市场增长。Data Bridge Market Research 分析计算机视觉市场中的深度学习在 2022 年至 2029 年的预测期内的复合年增长率为 55.65%。
深度学习基本上是指一种强大的机器学习和人工智能(AI) 工具，它通常表明在多个领域具有非凡的表现，并模仿人类获取某些类型知识的方式。它包括人脸识别和索引、照片风格化或自动驾驶汽车中的机器视觉。
快速信息存储容量的大幅提升是推动市场增长的重要因素，同时计算能力和并行化的提高以及对质量检查和自动化的需求不断增长也将成为推动市场增长的主要因素。此外，深度学习和硬件和软件的技术进步以及 3D 检测系统相对于传统检测系统的采用率不断提高，这些因素将进一步提升市场价值。然而，缺乏技术专业知识和用户对快速变化的计算机视觉技术缺乏认识，这限制了市场的发展。大多数组织可能缺乏适当的资源和计算能力来处理大量视觉数据，这也可能阻碍市场在预测期内的整体增长。
此外，预计在预测期内，技术进步和现代化的不断进步将为市场增长创造新的机会。另一方面，与云数据存储相关的缺点（例如数据泄露、数据盗窃和云数据不可用）正变得越来越普遍，这可能会给市场带来挑战。
This deep learning in computer vision 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, geographical expansions, technological innovations in the market. To gain more info on deep learning in computer vision market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Deep Learning in Computer Vision Market Scope and Market Size
The deep learning in computer vision market is segmented on the basis of hardware, solutions, applications and end-user. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of hardware, the deep learning in computer vision market is segmented into central processing unit (CPU), graphics processing unit (GPU) and others
- On the basis of solutions, the deep learning in computer vision market is segmented into hardware, software and services
- Based on application, the deep learning in computer vision market is segmented into image recognition, voice recognition and others
- The deep learning in computer vision market is also segmented on the basis of end-user into automotive, healthcare and others
Deep Learning in Computer Vision Market Country Level Analysis
The deep learning in computer vision market is analyzed and market size, volume information is provided by hardware, solutions, applications and end-user as referenced above.
The countries covered in the deep learning in computer vision market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
由于图像和模式识别的广泛采用以及该地区对人工智能和神经网络的投资不断增加，北美地区在计算机视觉深度学习市场中占据主导地位。由于各国政府的战略举措，例如政府为科技公司提供访问大型数据集的权限以构建计算机视觉应用的训练模型，预计亚太地区在预测期内将经历重大变化。
计算机视觉深度学习市场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。消费量、生产地点和产量、进出口分析、价格趋势分析、原材料成本、下游和上游价值链分析等数据点是用于预测单个国家市场情景的一些主要指标。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少竞争而面临的挑战、国内关税和贸易路线的影响。
计算机视觉市场竞争格局及深度学习份额分析
计算机视觉市场深度学习竞争格局提供了竞争对手的详细信息。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计算机视觉市场深度学习的关注有关。
计算机视觉市场深度学习报告中的一些主要参与者包括埃森哲、IBM India Pvt Ltd、Circle Internet Services, Inc.、Atlassian、Bitrise.、CloudBees, Inc.、Flexagon LLC.、Infostretch Corporation、JetBrains sro、Kainos.、Micro Focus、MVTECH Software GmbH、Clarifai Inc.、Tordivel AS.、SICK AG、JAI A/S、CEVA Inc.、Synopsys Inc.、微软、Puppet、红帽公司、思博伦通信和 VMware, Inc. 等。
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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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