Global Storage Area Ai Network Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2022 –2029 |
 Market Size (Base Year) |
USD 19,342.20 Million |
 Market Size (Forecast Year) |
USD 68,853.62 Million |
 CAGR |
% |
| Major Markets Players |
>全球存储领域人工智能 (AI) 网络市场，按产品（硬件、软件）、存储架构（文件存储、对象存储、块存储）、存储介质（硬盘驱动器、固态驱动器）、最终用户（企业、政府机构、云服务提供商、电信公司）划分 - 行业趋势和预测到 2029 年。
存储领域人工智能（AI）网络市场分析及规模
灵活性、可扩展性和性能增强等优势正在推动市场增长。此外，基于云的服务及其应用的日益普及也是在预测期内为存储领域人工智能 (AI) 网络市场创造丰厚增长机会的一个因素。
2021 年全球存储区域人工智能 (AI) 网络市场价值为 193.422 亿美元，预计到 2029 年将达到 688.5362 亿美元，在 2022-2029 年预测期内的复合年增长率为 17.20%。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。
存储领域人工智能（AI）网络市场范围和细分
|
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（百万美元）、销量（单位）、定价（美元） |
|
涵盖的领域 |
产品（硬件、软件）、存储架构（文件存储、对象存储、块存储）、存储介质（硬盘驱动器、固态驱动器）、最终用户（企业、政府机构、云服务提供商、电信公司） |
|
覆盖国家 |
北美洲的美国、加拿大和墨西哥、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、南非、埃及、以色列、中东和非洲 (MEA) 的其他地区、巴西、阿根廷和南美洲其他地区 |
|
涵盖的市场参与者 |
NVIDIA Corporation (U.S.), IBM (U.S.), Intel Corporation (U.S.), Xilinx (U.S.), SAMSUNG (South Korea), Micron Technology, Inc. (U.S.), Microsoft (U.S.), SAP (Germany), Oracle (U.S.), American Software, Inc. (U.S.), Splice Machine (U.S.), Cainiao (China), FedEx (U.S.), Deutsche Post AG (Germany), Dell Inc. (U.S.), Hewlett-Packard (U.S.), Pure Storage, Inc. (U.S.), NetApp (U.S.), Cisco Systems, Inc. (U.S.), Advanced Micro Devices, Inc (U.S.), TOSHIBA CORPORATION (Japan), Lenovo. (Hong Kong) |
|
Market Opportunities |
|
Market Definition
Artificial intelligence storage systems provide the user with intelligent automated work without human intervention. This facility offers the users numerous advantages such as enhanced scalability, data insights, data stores, reporting and alerting, failure prediction and others.
Global Storage Area Artificial Intelligence (AI) Network 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
- Numerous advantages across various sectors
Numerous advantages of the storage area artificial intelligence (AI) network market will drive the market's growth over the forecasted period. Artificial intelligence storage systems provide user-intelligent automated work without human intervention. This facility offers the users numerous advantages such as enhanced scalability, data insights, data stores, reporting and alerting, failure prediction and others. All these factors are driving the growth of the market over the forecasted period.
- Increasing popularity of Artificial intelligence (AI)
The increasing popularity of artificial intelligence technology across various sectors fuels market growth. The growing advantages such as enhanced flexibility, scalability and performance fuel the market's growth and the increasing adoption of the cloud-based services are also the factors fueling the growth of the storage area artificial intelligence (AI) network market over the forecasted period.
Opportunities
- Growing penetration of cloud-based services
The growing penetration of cloud-based services in the information technology sector is estimated to generate lucrative opportunities for the market, further expanding the future storage area artificial intelligence (AI) network market's growth rate. Additionally, the technological advancements of cloud-based services in, such as enhanced efficiency, delivery on time and others in enterprises, government bodies and telecom sectors will also offer numerous growth opportunities for the storage area artificial intelligence (AI) network market over the forecasted period.
Restraints/Challenges
- Data security of cloud-based services
The data security and the factors leading to cybercrime, cyber threat and others due to the generated data is expected to obstruct market growth.
- Lack of awareness regarding artificial intelligence
The lack of awareness regarding the artificial intelligence technologies in developing nations is the important factor projected to be challenge for the storage area artificial intelligence (AI) network market over the forecast period.
This storage area artificial intelligence (AI) network 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 storage area artificial intelligence (AI) network 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.
Expected Impact of Economic Slowdown on the Pricing and Availability of Products
When economic activity slows, industries begin to suffer. The forecasted effects of the economic downturn on the pricing and accessibility of the products are taken into account in the market insight reports and intelligence services provided by DBMR. With this, our clients can typically keep one step ahead of their competitors, project their sales and revenue, and estimate their profit and loss expenditures.
Storage Area Artificial Intelligence (AI) Network Market Scope
The storage area artificial intelligence (AI) network market is segmented on the basis of product type, cable category, application and end use. The growth amongst these segments will help you analyze meagre 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.
Offering
- Hardware
- 中央处理器 (CPU)
- 图形处理单元 (GPU)
- 软件
存储架构
- 文件存储
- 对象存储
- 块存储
存储介质
- 硬盘驱动器
- 固态硬盘
- 混合闪存阵列
- 全闪存阵列
终端用户
- 企业
- 政府机构
- 云服务提供商
- 电信公司
存储领域人工智能 (AI) 网络市场区域分析/洞察
对存储区域人工智能（AI）网络市场进行了分析，并按国家、产品类型、电缆类别、应用和最终用途提供了市场规模洞察和趋势。如上所述。
存储领域人工智能（AI）网络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、亚太地区（APAC）的沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲（MEA）的其他地区、南美洲的巴西、阿根廷和南美洲其他地区。
由于该地区对人工智能（AI）存储系统的认识不断提高以及经验丰富的专家的数量不断增加，北美在直接连接人工智能（AI）存储系统市场中占据主导地位。
由于存储领域人工智能 (AI) 网络系统的需求不断增长以及该地区金融领域对人工智能的应用日益广泛，预计亚太地区将在 2022 年至 2029 年的预测期内出现显着增长。
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。
竞争格局和存储领域人工智能（AI）网络市场份额分析
存储区域人工智能 (AI) 网络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存储区域人工智能 (AI) 网络市场的关注有关。
存储领域人工智能 (AI) 网络市场的一些主要参与者包括
- NVIDIA 公司（美国）
- IBM（美国）
- 英特尔公司（美国）
- Xilinx（美国）
- 三星（韩国）
- 美光科技公司（美国）
- 微软 (美国)
- SAP（德国）
- 甲骨文 (美国)
- 美国软件公司（美国）
- 接驳机（美国）
- 菜鸟（中国）
- 联邦快递（美国）
- 德国邮政股份公司（德国）
- 戴尔公司（美国）
- 惠普（美国）
- Pure Storage, Inc.（美国）
- NetApp (美国)
- 思科系统公司（美国）
- 超微半导体公司 (美国)
- 东芝公司（日本）
- 联想。（香港）
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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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