Global Network Attached Ai Storage System Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2022 –2029 |
 Market Size (Base Year) |
USD 13.17 Billion |
 Market Size (Forecast Year) |
USD 50.86 Billion |
 CAGR |
% |
| Major Markets Players |
全球网络附加 AI 存储系统市场，按产品（硬件、软件）、存储介质（硬盘驱动器、固态驱动器）、垂直行业（BFSI、电信、媒体和娱乐、政府、云服务提供商、其他）、存储架构（文件、基于对象的存储）划分 - 行业趋势和预测到 2029 年。
网络附加 AI 存储系统市场分析和规模
作为客户，您知道由于系统和设备的技术缺陷而丢失数据的风险。因此，网络附加存储解决方案供应商不断面临压力，需要支持BFSI、IT 和电信以及其他依赖数百万美元数据的行业的利益相关者的备份和存储基础设施。由于数据备份只是成功运营业务的一个方面，因此 IT 和电信领域对高性能网络附加存储设备的需求日益增长，这些设备可以随着组织的发展而升级。
Data Bridge Market Research 分析称，2021 年网络附加 AI 存储系统市场价值为 131.7 亿美元，预计到 2029 年将达到 508.6 亿美元，预测期内（2022-2029 年）的复合年增长率为 18.40%。除了对市场价值、增长率、细分、地理覆盖范围和主要参与者等市场情景的洞察外，Data Bridge Market Research 策划的市场报告还包括深入的专家分析、按地理代表的公司生产和产能、分销商和合作伙伴的网络布局、详细和更新的价格趋势分析以及供应链和需求的缺口分析。
网络附加 AI 存储系统市场范围和细分
|
报告指标 |
细节 |
|
预测期 |
2022 至 2029 年 |
|
基准年 |
2021 |
|
历史岁月 |
2020（可定制为 2014 - 2019） |
|
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 |
产品（硬件、软件）、存储介质（硬盘驱动器、固态驱动器）、垂直行业（BFSI、电信、媒体和娱乐、政府、云服务提供商、其他）、存储架构（文件、基于对象的存储）、 |
|
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、南非、埃及、以色列、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 |
Nasuni Corporation. (U.S.), SoftNAS, Inc. (U.S.), Panasas (U.S.), Infortrend Technology Inc. (Taiwan), Thecus Technology Corp (Taiwan), D-Link Corporation (Taiwan), Cisco Systems, Inc. (U.S.), Microsoft (U.S.), Huawei Technologies Co., Ltd. (China), IBM (U.S.), ASUSTOR Inc. (Taiwan), Drobo, Inc. (U.S.), QNAP Systems, Inc. (Taiwan), Buffalo Americas, Inc. (U.S.), Synology, Inc. (Taiwan), NETGEAR, Inc. (U.S.), SEAGATE TECHNOLOGY PUBLIC LIMITED COMPANY (U.S.), WESTERN DIGITAL CORPORATION (U.S.), Hitachi, Ltd. (Japan) and Hewlett Packard Enterprise Company LP (U.S.), among others |
|
Market Opportunities |
|
Market Definition
For various clients, authorised network consumers, and authorised network users, network attached AI storage system provides a retrieval and storage facility for data from a centralised location. Network-attached storage (NAS) devices save and share data for multiple computers that can be accessed remotely. AI-powered storage enables organisations to analyse data intelligently and quickly by providing instant insights; it consists of three distinct phases known as machine learning, data ingestion, learning, and inference, which is a stage of providing insights.
Global Network Attached AI Storage System Market Dynamics
Drivers
- Offerings of integrated solution systems
When compared to traditional file servers, network attached storage is a more cost-effective technology because it eliminates the need for expensive hardware, labour, and licencing. Network attached AI storage system also offers an integrated solution, which combines hardware, storage devices, and operating systems into a single device. Furthermore, no operating system or client access licences are required in a network attached AI storage system environment, lowering enterprise storage costs even further. System updates are applied end-to-end in a single instance, allowing for easy system upgrades while saving time and money. Network attached AI storage system supports file sharing protocols such as network file system (NFS) and server message block (SMB), which increases their popularity among end users for data sharing.
- High adoption of AI in cloud based services
Rising demand for advanced storage architecture in large-scale enterprise infrastructure is a critical factor driving market growth, as is the increasing demand for AI in high-performance computing data centres and the increasing implementation of cloud-based services, among other factors driving the casting devices market. In the forecast period, modernization and an increasing number of market strategies such as cross-industry collaborations will create new opportunities for network-attached AI storage systems.
Opportunities
- Government initiative towards digitization
One of the major factors driving the network attached AI storage system market is the increase in government initiatives toward digitization, which has resulted in enormous growth in digital data. The increased use of smartphones, laptops, and tablets, which generates large amounts of data, has a positive impact on the market.
- Digital transformation
The surge in digital transformation across multiple industries is hastening market growth. The market is benefiting from the increased demand for these services in the digitalization of hospital records, media and entertainment content, online commerce for retail goods and services, and e-government initiatives.
Restraints
- Security risk
However, among other factors, a lack of technically skilled personnel in AI hardware and rising concerns about data privacy in cloud- and server-based services are the major restraints that will further challenge the network-attached AI storage system during the forecast period.
This network attached AI storage system 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 the network attached AI storage system market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Impact and Current Market Scenario of Raw Material Shortage and Shipping Delays
Data Bridge Market Research offers a high-level analysis of the market and delivers information by keeping in account the impact and current market environment of raw material shortage and shipping delays. This translates into assessing strategic possibilities, creating effective action plans, and assisting businesses in making important decisions.
Apart from the standard report, we also offer in-depth analysis of the procurement level from forecasted shipping delays, distributor mapping by region, commodity analysis, production analysis, price mapping trends, sourcing, category performance analysis, supply chain risk management solutions, advanced benchmarking, and other services for procurement and strategic support.
COVID-19 Impact on Network Attached AI Storage System Market
当前的 COVID-19 疫情已经影响了多个行业。主要供应商正在采取积极措施，以减少对企业的经济影响。在整个疫情期间，硬盘驱动器的收入有所增加。尽管由于全球政府关闭导致出货量下降，但领先的网络附加存储供应商已提高销售价格以弥补收入损失。此外，在家办公的趋势迫使员工将数据存储在网络附加存储解决方案中，这推动了市场增长。
经济放缓对产品定价和供应的预期影响
当经济活动放缓时，行业开始受到影响。DBMR 提供的市场洞察报告和情报服务考虑了经济衰退对产品定价和可获得性的预测影响。通过这种方式，我们的客户通常可以领先竞争对手一步，预测他们的销售额和收入，并估算他们的盈亏支出
全球网络附加人工智能存储系统市场范围
网络附加 AI 存储系统市场根据产品、存储介质、垂直行业和存储架构进行细分。这些细分市场之间的增长将帮助您分析行业中增长微弱的细分市场，并为用户提供有价值的市场概览和市场洞察，帮助他们做出战略决策，确定核心市场应用。
奉献
- 硬件
- 软件
存储介质
- 硬盘驱动器
- 固态硬盘
垂直行业
- 金融保险业协会
- 电信
- 媒体和娱乐
- 政府
- 云服务提供商
- 其他的
存储架构
- 文件
- 基于对象的存储
网络附加 AI 存储系统市场区域分析/见解
对网络附加 AI 存储系统市场进行了分析，并按国家、产品、存储介质、垂直行业和存储架构提供了市场规模洞察和趋势。
网络附加 AI 存储系统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、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、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。
北美在网络附加 AI 存储系统市场占据主导地位，因为该地区拥有主要的网络附加 AI 存储系统提供商。此外，该地区的中小企业 (SME) 正在崛起。
预计亚太地区 (APAC) 将从 2022 年到 2029 年大幅增长。由于该地区网络基础设施的改善和便携式设备使用量的增加，
报告的国家部分还提供了影响市场当前和未来趋势的各个市场影响因素和市场监管变化。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各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大量或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
竞争格局和网络附加 AI 存储系统市场份额分析
网络附加 AI 存储系统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、产生的收入、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网络附加 AI 存储系统市场的关注有关。
网络附加 AI 存储系统市场的一些主要参与者包括：
- Nasuni Corporation。（美国）
- SoftNAS, Inc.（美国）
- 帕纳萨斯（美国）
- Infortrend 科技股份有限公司 (台湾)
- 色卡司科技股份有限公司 (台湾)
- D-Link 股份有限公司 (台湾)
- 思科系统公司（美国）
- 微软 (美国)
- 华为技术有限公司 (中国)
- IBM（美国）
- 华芸科技 (台湾)
- Drobo, Inc.（美国）
- 威联通科技股份有限公司 (台湾)
- Buffalo Americas, Inc.（美国）
- Synology 股份有限公司 (台湾)
- NETGEAR 公司（美国）
- 希捷科技股份有限公司（美国）
- 西部数据公司（美国）
- 日立有限公司（日本）
- 惠普企业公司 (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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