Global Storage Area Ai Network Market
Tamanho do mercado em biliões de dólares
CAGR :
% 
USD
19,342.20 Million
USD
68,853.62 Million
2021
2029
 Período de previsão |
2022 –2029 |
 Tamanho do mercado (ano base ) | USD 19,342.20 Million |
 Tamanho do mercado ( Ano de previsão) | USD 68,853.62 Million |
 CAGR |
% |
| Principais participantes do mercado |
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 |
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Historic Years |
2020 (Customizable to 2014 - 2019) |
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Quantitative Units |
Revenue in USD Million, Volumes in Units, Pricing in USD |
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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) |
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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 |
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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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Metodologia de Investigação
A recolha de dados e a análise do ano base são feitas através de módulos de recolha de dados com amostras grandes. A etapa inclui a obtenção de informações de mercado ou dados relacionados através de diversas fontes e estratégias. Inclui examinar e planear antecipadamente todos os dados adquiridos no passado. Da mesma forma, envolve o exame de inconsistências de informação observadas em diferentes fontes de informação. Os dados de mercado são analisados e estimados utilizando modelos estatísticos e coerentes de mercado. Além disso, a análise da quota de mercado e a análise das principais tendências são os principais fatores de sucesso no relatório de mercado. Para saber mais, solicite uma chamada de analista ou abra a sua consulta.
A principal metodologia de investigação utilizada pela equipa de investigação do DBMR é a triangulação de dados que envolve a mineração de dados, a análise do impacto das variáveis de dados no mercado e a validação primária (especialista do setor). Os modelos de dados incluem grelha de posicionamento de fornecedores, análise da linha de tempo do mercado, visão geral e guia de mercado, grelha de posicionamento da empresa, análise de patentes, análise de preços, análise da quota de mercado da empresa, normas de medição, análise global versus regional e de participação dos fornecedores. Para saber mais sobre a metodologia de investigação, faça uma consulta para falar com os nossos especialistas do setor.
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A Data Bridge Market Research é líder em investigação formativa avançada. Orgulhamo-nos de servir os nossos clientes novos e existentes com dados e análises que correspondem e atendem aos seus objetivos. O relatório pode ser personalizado para incluir análise de tendências de preços de marcas-alvo, compreensão do mercado para países adicionais (solicite a lista de países), dados de resultados de ensaios clínicos, revisão de literatura, mercado remodelado e análise de base de produtos . A análise de mercado dos concorrentes-alvo pode ser analisada desde análises baseadas em tecnologia até estratégias de carteira de mercado. Podemos adicionar quantos concorrentes necessitar de dados no formato e estilo de dados que procura. A nossa equipa de analistas também pode fornecer dados em tabelas dinâmicas de ficheiros Excel em bruto (livro de factos) ou pode ajudá-lo a criar apresentações a partir dos conjuntos de dados disponíveis no relatório.
