Global Storage Area Ai Network Market
Market Size in USD Billion
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 |
Global Storage Area Artificial Intelligence (AI) Network Market, By Offering (Hardware, Software), Storage Architecture (File Storage, Object Storage, Block Storage), Storage Medium (Hard Disc Drive, Solid State Drive), End-User (Enterprises, Government Bodies, Cloud Services Providers, Telecom Companies) – Industry Trends and Forecast to 2029.
Storage Area Artificial Intelligence (AI) Network Market Analysis and Size
Increasing advantages such as enhanced flexibility, scalability and performance are fueling the market's growth. Moreover, the increasing adoption of cloud-based services and their applications is also a factor creating lucrative growth opportunities for the storage area artificial intelligence (AI) network market over the forecasted period.
Global storage area artificial intelligence (AI) network market was valued at USD 19,342.20 million in 2021 and is expected to reach USD 68853.62 million by 2029, registering a CAGR of 17.20% during the forecast period of 2022-2029. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include in-depth expert analysis, geographically represented company-wise production and capacity, network layouts of distributors and partners, detailed and updated price trend analysis and deficit analysis of supply chain and demand.
Storage Area Artificial Intelligence (AI) Network Market Scope and Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2022 to 2029 |
|
Base Year |
2021 |
|
Historic Years |
2020 (Customizable to 2014 - 2019) |
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Quantitative Units |
Revenue in USD Million, Volumes in Units, Pricing in USD |
|
Segments Covered |
Offering (Hardware, Software), Storage Architecture (File Storage, Object Storage, Block Storage), Storage Medium (Hard Disc Drive, Solid State Drive), End-User (Enterprises, Government Bodies, Cloud Services Providers, Telecom Companies) |
|
Countries Covered |
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, South Africa, Egypt, Israel, 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 |
|
Market Players Covered |
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) |
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Market Opportunities |
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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
- Central processing unit (CPU)
- Graphics processing unit (GPU)
- Software
Storage Architecture
- File Storage
- Object Storage
- Block Storage
Storage Medium
- Hard Disc Drive
- Solid State Drive
- Hybrid flash array
- All-flash array
End-User
- Enterprises
- Government Bodies
- Cloud Services Providers
- Telecom Companies
Storage Area Artificial Intelligence (AI) Network Market Regional Analysis/Insights
The storage area artificial intelligence (AI) network market is analyzed and market size insights and trends are provided by country, product type, cable category, application and end use.as referenced above.
The countries covered in the storage area artificial intelligence (AI) network 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, South Africa, Egypt, Israel, 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.
North America dominates the direct attached artificial intelligence (AI) storage system market due to increasing awareness and availability of experienced experts within the region.
Asia-Pacific is expected to witness significant growth during the forecast period of 2022 to 2029 due to the rising demand of storage area artificial intelligence (AI) network systems and the growing adoption of artificial intelligence in financial sector within the region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Storage Area Artificial Intelligence (AI) Network Market Share Analysis
The storage area artificial intelligence (AI) network market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to storage area artificial intelligence (AI) network market.
Some of the major players operating in the storage area artificial intelligence (AI) network market are
- 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)
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Research Methodology
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.
Customization Available
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
