The AI-Powered Storage Market Size was valued at USD 21.46 billion in 2022 and is expected to reach USD 145.25 billion by 2030 and grow at a CAGR of 27% over the forecast period 2023-2030.
AI-powered storage is an intelligent storage system that uses artificial intelligence (AI) to continuously learn and adapt to its hybrid cloud environment in order to better manage and serve data. It is available as a virtual appliance, hardware, or as a cloud service. Using AI-powered storage, you can optimise data throughout its life cycle and move data to where it is needed. It also offers encryption and data security to help eliminate potential security threats. As a result, they are used in industries such as Enterprises, telecom companies, government, cloud service providers and others. The global AI-powered storage market is expanding rapidly and is expected to expand further in the coming years.
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KEY DRIVERS:
AI is becoming increasingly popular in HPC data centres.
Ned for Refreshing Global Enterprise Infrastructure's Storage Architecture is Required.
Growing Adoption of Cloud-Based Services.
The rising uptake of cloud-based services is pivotal for the AI-Powered Storage Market. Cloud solutions offer scalability, cost-effectiveness, and global accessibility, making them a preferred choice for storing AI-driven data. Integration with AI tools and robust security measures further enhance their appeal, aligning with the wider trend of embracing cloud technologies across industries.
RESTRAINTS:
Data Security Flaws in Cloud and Server-Based Services
Limited knowledge of AI hardware.
The AI-Powered Storage Market faces challenges due to limited knowledge of AI hardware. This can lead to optimization issues, compatibility concerns, scalability obstacles, inefficient resource allocation, and potential investment pitfalls. Strengthening understanding of AI hardware is crucial for developing effective storage solutions aligned with AI workloads.
OPPORTUNITIES:
The availability of useful data analysis tools and their rapid development.
Increase in the number of cross-industry partnerships and collaborations.
The AI-Powered Storage Market is experiencing a surge in cross-industry partnerships and collaborations. These alliances yield synergistic solutions, foster knowledge exchange, drive technological innovation, expand market reach, and share risks, collectively shaping the market's growth and development.
CHALLENGES:
Concerns About Data Privacy.
AI Algorithms' Unreliability.
The AI-Powered Storage Market is hindered by the unreliability of AI algorithms. This can result in compromised data integrity, inaccurate decision-making, security vulnerabilities, and operational disruptions. Ensuring algorithm validation, testing, and ongoing improvement is crucial to mitigate these challenges and maintain reliable storage solutions.
The COVID-19 outbreak has had a significant impact on the AI-powered storage market. New projects around the world have stalled, resulting in a drop in demand for analogue semiconductors. As workers stayed at home, global factories struggled to integrate new AI-powered storage, disrupting global supply chains. COVID-19's impact on this market is only temporary because only the production and supply chain are halted. Production, supply chains, and demand for AI-powered storage will gradually increase as the situation improves. This COVID-19 lockdown would encourage businesses to consider more advanced AI-powered storage to improve efficiency.
Based on offering, the AI-powered storage market is segmented into Hardware, and Software. Based on storage medium, the AI-powered storage market is segmented into Solid State Drive, and Hard Disk Drive. Based on storage architecture, the AI-powered storage market is segmented into Object Storage, File- and Object-Based Storage. Based on end-user, the AI-powered storage market is segmented into Enterprises, Telecom Companies, Government, Cloud Service Providers, and Others. Based on storage system, the AI-powered storage market is segmented into Direct-attached Storage, Storage Area Network, and Network-attached Storage. SAN storage systems facilitate storage pooling across datacenters. Because of their lower implementation costs, these systems are expected to gain popularity among small and medium-sized businesses. Furthermore, they contribute to datacenter virtualization, which leads to a high demand for these storage system types. Many businesses have begun to use cloud-based services to store their data using virtual servers, and they intend to expand their storage capacities beyond existing infrastructure capabilities to meet the demand for AI-enabled applications and workloads.
IMPACT OF RUSSIA UKRAIN WAR
The growing conflicts between Russia and Ukraine have the potential to have a number of consequences for the AI-powered storage business. Instability in the global supply chain can impair the manufacture and delivery of crucial components necessary for AI-powered storage systems. Likewise, changes in currency exchange rates and trade policies may cause pricing uncertainty, influencing corporate investment decisions. According to the Research, in 2021, banking and IT had the highest AI adoption rate 52%, followed by media and telecommunications 38%. In addition, if these tensions intensify and result in larger economic sanctions, it may hamper collaboration and knowledge exchange between AI researchers and professionals from the two countries, stifling the technology's overall progress. Major Cyberattacks have not been more common since the attack, they increased dramatically Attacks by Russian government-backed terrorists, on the other hand, have increased dramatically. Russian attacks against Ukraine users increased by 250 % between 2021 & 2022, according to Research , and attacks on other NATO nations increased by more than 300 % Overall, the geopolitical situation between Russia and Ukraine presents a level of unpredictability that may influence the growth and development of the AI-powered storage industry in the coming months.
IMPACT OF RECESSION
Recession can have a substantial influence on the AI-powered storage sector in a variety of ways. During an economic crisis, organisations frequently prioritise cost-cutting measures, which may result in a lower budget for technological expenditures, such as AI-powered storage solutions. Even though the vendor raised a total of 300 million dollars last year, it lay off around 7% of its workers. As organisations prioritise more urgent financial concerns, Customer demand for storage solutions may fall during a recession as businesses postpone growth plans or technological upgrades. This uncertain economic climate may cause decision-making delays, lengthier sales cycles, and higher competition for a smaller pool of clients. A recession can have enormous impacts on AI-powered storage. Finally, the growth trajectory of the AI-powered storage business may be temporarily hampered by the obstacles provided by a recession.
BY OFFERING
Hardware
Software
BY STORAGE SYSTEM
Direct-attached Storage
Storage Area Network
Network-attached Storage
BY STORAGE MEDIUM
Solid State Drive
Hard Disk Drive
BY STORAGE ARCHITECTURE
Object Storage
File- and Object-Based Storage
BY END USER
Enterprises
Telecom Companies
Government
Cloud Service Providers
Others
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During the forecast period, North America is expected to have the largest share of the AI-powered storage market. The high concentration of data storage market participants, the easy availability of skilled technical talent, and the growing adoption of AI in the manufacturing, banking, telecom, and healthcare industries are the primary drivers of the market. During the forecast period, Asia-Pacific is expected to have the highest CAGR. The region's adoption of AI technology, as well as the rise in demand for cloud-based services and the use of robotics in industrial industries, are the primary drivers of the AI-powered storage market's rapid expansion.
North America -During the forecast period, North America is expected to have the largest share of the AI-powered storage market. The primary drivers of the market are the high concentration of data storage market participants, the easy availability of skilled technical talent, and the growing adoption of AI in the manufacturing, banking, telecom, and healthcare industries.
Asia-Pacific- During the forecast period, Asia-Pacific is expected to have the highest CAGR. The region's adoption of AI technology, the rise in demand for cloud-based services, and the use of robotics in industrial industries are the primary drivers of the rapid expansion of the AI-powered storage market.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The key players in the AI-powered storage market are Dell Technologies, Advanced Micro Devices, CISCO, IBM, Toshiba, Intel Corporation, Hitachi, NVIDIA Corporation, Samsung Electronics, and Data direct Network & Other Players.
Advanced Micro Devices-Company Financial Analysis
Recent Development:
In May 2023-, Tata Consultancy Services is expanding its collaboration with Google Cloud, launching TCS Generative AI. This Offering uses Google Cloud's generative AI services to create custom business solutions for clients, leveraging TCS's domain expertise and innovative solutions.
In June 2023-, Thomson Reuters is set to purchase Case text, a legal AI company, for a sum of $650 million. Thomson Reuters' CFO, Michael Eastwood, recently stated the company's plan to allocate around $100 million annually for artificial intelligence (AI) investments. This AI investment is separate from the $10 billion M&A budget allocated till 2025. Thomson Reuters are acquiring case text, a legal AI firm, for $650 million.
| Report Attributes | Details |
|---|---|
| Market Size in 2022 | US$ 21.46 Billion |
| Market Size by 2030 | US$ 145.25 Billion |
| CAGR | CAGR of 27% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2019-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Offering (Hardware, Software) • By Storage System (Direct-Attached Storage, Storage Area Network, Network-Attached Storage) • By Storage Medium (Solid State Drive, Hard Disk Drive) • By Storage Architecture (Object Storage, File- And Object-Based Storage) • By End-User (Enterprises, Telecom Companies, Government, Cloud Service Providers, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Dell Technologies, Advanced Micro Devices, CISCO, IBM, Toshiba, Intel Corporation, Hitachi, NVIDIA Corporation, Samsung Electronics, and Data direct Network |
| Key Drivers | • AI is becoming increasingly popular in HPC data centres. • Need for Refreshing Global Enterprise Infrastructure's Storage Architecture is Required. |
| RESTRAINTS | • Data Security Flaws in Cloud and Server-Based Services • Limited knowledge of AI hardware. |
The market value is expected to reach USD 145.25 billion by 2030.
Data Security Flaws in Cloud and Server-Based Services, and Limited knowledge of AI hardware.
The key players in the AI-powered storage market are Dell Technologies, Advanced Micro Devices, CISCO, IBM, Toshiba, Intel Corporation, Hitachi, NVIDIA Corporation, Samsung Electronics, and Data direct Network.
Top-down research, bottom-up research, qualitative research, quantitative research, and Fundamental research.
Ans: The AI-Powered Storage Market is to grow at a CAGR of 27% over the forecast period 2023-2030.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s five forces model
7. PEST Analysis
8. AI-Powered Storage Market Segmentation, By Offering
8.1 Hardware
8.2 Software
9. AI-Powered Storage Market Segmentation, By Storage System
9.1 Direct-attached Storage
9.2 Storage Area Network
9.3 Network-attached Storage
10. AI-Powered Storage Market Segmentation, By Storage Medium
10.1 Solid State Drive
10.2 Hard Disk Drive
11. AI-Powered Storage Market Segmentation, By Storage Architecture
11.1 Object Storage
11.2 File- and Object-Based Storage
12. AI-Powered Storage Market Segmentation, By END USER
12.1 Enterprises
12.2 Telecom Companies
12.3 Government
12.4 Cloud Service Providers
12.5 Others
13. Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America AI-Powered Storage Market by Country
13.2.2 North America AI-Powered Storage Market by Offering
13.2.3 North America AI-Powered Storage Market by Storage System
13.2.4 North America AI-Powered Storage Market by Storage Medium
13.2.5 North America AI-Powered Storage Market by Storage Architecture
13.2.6 North America AI-Powered Storage Market by End User
13.2.7 USA
13.2.7.1 USA AI-Powered Storage Market by Offering
13.2.7.2 USA AI-Powered Storage Market by Storage System
13.2.7.3 USA AI-Powered Storage Market by Storage Medium
13.2.7.4 USA AI-Powered Storage Market by Storage Architecture
13.2.7.5 USA AI-Powered Storage Market by End User
13.2.8 Canada
13.2.8.1 Canada AI-Powered Storage Market by Offering
13.2.8.2 Canada AI-Powered Storage Market by Storage System
13.2.8.3 Canada AI-Powered Storage Market by Storage Medium
13.2.8.4 Canada AI-Powered Storage Market by Storage Architecture
13.2.8.5 Canada AI-Powered Storage Market by End User
13.2.9 Mexico
13.2.9.1 Mexico AI-Powered Storage Market by Offering
13.2.9.2 Mexico AI-Powered Storage Market by Storage System
13.2.9.3 Mexico AI-Powered Storage Market by Storage Medium
13.2.9.4 Mexico AI-Powered Storage Market by Storage Architecture
13.2.9.5 Mexico AI-Powered Storage Market by End User
13.3 Europe
13.3.1 Eastern Europe
13.3.1.1 Eastern Europe AI-Powered Storage Market by Country
13.3.1.2 Eastern Europe AI-Powered Storage Market by Offering
13.3.1.3 Eastern Europe AI-Powered Storage Market by Storage System
13.3.1.4 Eastern Europe AI-Powered Storage Market by Storage Medium
13.3.1.5 Eastern Europe AI-Powered Storage Market by Storage Architecture
13.3.1.6 Eastern Europe AI-Powered Storage Market by End User
13.3.1.7 Poland
13.3.1.7.1 Poland AI-Powered Storage Market by Offering
13.3.1.7.2 Poland AI-Powered Storage Market by Storage System
13.3.1.7.3 Poland AI-Powered Storage Market by Storage Medium
13.3.1.7.4 Poland AI-Powered Storage Market by Storage Architecture
13.3.1.7.5 Poland AI-Powered Storage Market by End User
13.3.1.8 Romania
13.3.1.8.1 Romania AI-Powered Storage Market by Offering
13.3.1.8.2 Romania AI-Powered Storage Market by Storage System
13.3.1.8.3 Romania AI-Powered Storage Market by Storage Medium
13.3.1.8.4 Romania AI-Powered Storage Market by Storage Architecture
13.3.1.8.5 Romania AI-Powered Storage Market by End User
13.3.1.9 Hungary
13.3.1.9.1 Hungary AI-Powered Storage Market by Offering
13.3.1.9.2 Hungary AI-Powered Storage Market by Storage System
13.3.1.9.3 Hungary AI-Powered Storage Market by Resolution
13.3.1.9.4 Hungary AI-Powered Storage Market by Storage Architecture
13.3.1.9.5 Hungary AI-Powered Storage Market by End User
13.3.1.10 Turkey
13.3.1.10.1 Turkey AI-Powered Storage Market by Offering
13.3.1.10.2 Turkey AI-Powered Storage Market by Storage System
13.3.1.10.3 Turkey AI-Powered Storage Market by Storage Medium
13.3.1.10.4 Turkey AI-Powered Storage Market by Storage Architecture
13.3.1.10.5 Turkey AI-Powered Storage Market by End User
13.3.1.11 Rest of Eastern Europe
13.3.1.11.1 Rest of Eastern Europe AI-Powered Storage Market by Offering
13.3.1.11.2 Rest of Eastern Europe AI-Powered Storage Market by Storage System
13.3.1.11.3 Rest of Eastern Europe AI-Powered Storage Market by Storage Medium
13.3.1.11.4 Rest of Eastern Europe AI-Powered Storage Market by Storage Architecture
13.3.1.11.5 Rest of Eastern Europe AI-Powered Storage Market by End User
13.3.2 Western Europe
13.3.2.1 Western Europe AI-Powered Storage Market by Country
13.3.2.2 Western Europe AI-Powered Storage Market by Offering
13.3.2.3 Western Europe AI-Powered Storage Market by Storage System
13.3.2.4 Western Europe AI-Powered Storage Market by Storage Medium
13.3.2.5 Western Europe AI-Powered Storage Market by Storage Architecture
13.3.2.6 Western Europe AI-Powered Storage Market by End User
13.3.2.7 Germany
13.3.2.7.1 Germany AI-Powered Storage Market by Offering
13.3.2.7.2 Germany AI-Powered Storage Market by Storage System
13.3.2.7.3 Germany AI-Powered Storage Market by Storage Medium
13.3.2.7.4 Germany AI-Powered Storage Market by Storage Architecture
13.3.2.7.5 Germany AI-Powered Storage Market by End User
13.3.2.8 France
13.3.2.8.1 France AI-Powered Storage Market by Offering
13.3.2.8.2 France AI-Powered Storage Market by Storage System
13.3.2.8.3 France AI-Powered Storage Market by Storage Medium
13.3.2.8.4 France AI-Powered Storage Market by Storage Architecture
13.3.2.8.5 France AI-Powered Storage Market by End User
13.3.2.9 UK
13.3.2.9.1 UK AI-Powered Storage Market by Offering
13.3.2.9.2 UK AI-Powered Storage Market by Storage System
13.3.2.9.3 UK AI-Powered Storage Market by Storage Medium
13.3.2.9.4 UK AI-Powered Storage Market by Storage Architecture
13.3.2.9.5 UK AI-Powered Storage Market by End User
13.3.2.10 Italy
13.3.2.10.1 Italy AI-Powered Storage Market by Offering
13.3.2.10.2 Italy AI-Powered Storage Market by Storage System
13.3.2.10.3 Italy AI-Powered Storage Market by Storage Medium
13.3.2.10.4 Italy AI-Powered Storage Market by Storage Architecture
13.3.2.10.5 Italy AI-Powered Storage Market by End User
13.3.2.11 Spain
13.3.2.11.1 Spain AI-Powered Storage Market by Offering
13.3.2.11.2 Spain AI-Powered Storage Market by Storage System
13.3.2.11.3 Spain AI-Powered Storage Market by Storage Medium
13.3.2.11.4 Spain AI-Powered Storage Market by Storage Architecture
13.3.2.11.5 Spain AI-Powered Storage Market by End User
13.3.2.12 the Netherlands
13.3.2.12.1 Netherlands AI-Powered Storage Market by Offering
13.3.2.12.2 Netherlands AI-Powered Storage Market by Storage System
13.3.2.12.3 Netherlands AI-Powered Storage Market by Storage Medium
13.3.2.12.4 Netherlands AI-Powered Storage Market by Storage Architecture
13.3.2.12.5 Netherlands AI-Powered Storage Market by End User
13.3.2.13 Switzerland
13.3.2.13.1 Switzerland AI-Powered Storage Market by Offering
13.3.2.13.2 Switzerland AI-Powered Storage Market by Storage System
13.3.2.13.3 Switzerland AI-Powered Storage Market by Storage Medium
13.3.2.13.4 Switzerland AI-Powered Storage Market by Storage Architecture
13.3.2.13.5 Switzerland AI-Powered Storage Market by End User
13.3.2.14 Austria
13.3.2.14.1 Austria AI-Powered Storage Market by Offering
13.3.2.14.2 Austria AI-Powered Storage Market by Storage System
13.3.2.14.3 Austria AI-Powered Storage Market by Storage Medium
13.3.2.14.4 Austria AI-Powered Storage Market by Light
13.3.2.14.5 Austria AI-Powered Storage Market by End User
13.3.2.15 Rest of Western Europe
13.3.2.15.1 Rest of Western Europe AI-Powered Storage Market by Offering
13.3.2.15.2 Rest of Western Europe AI-Powered Storage Market by Storage System
13.3.2.15.3 Rest of Western Europe AI-Powered Storage Market by Storage Medium
13.3.2.15.4 Rest of Western Europe AI-Powered Storage Market by Storage Architecture
13.3.2.15.5 Rest of Western Europe AI-Powered Storage Market by End User
13.4 Asia-Pacific 13.4.1 Asia Pacific AI-Powered Storage Market by Country
13.4.2 Asia Pacific AI-Powered Storage Market by Offering
13.4.3 Asia Pacific AI-Powered Storage Market by Storage System
13.4.4 Asia Pacific AI-Powered Storage Market by Resolution
13.4.5 Asia Pacific AI-Powered Storage Market by Storage Architecture
13.4.6 Asia Pacific AI-Powered Storage Market by End User
13.4.7 China
13.4.7.1 China AI-Powered Storage Market by Offering
13.4.7.2 China AI-Powered Storage Market by Storage System
13.4.7.3 China AI-Powered Storage Market by Resolution
13.4.7.4 China AI-Powered Storage Market by Storage Architecture
13.4.7.5 China AI-Powered Storage Market by End User
13.4.8 India
13.4.8.1 India AI-Powered Storage Market by Offering
13.4.8.2 India AI-Powered Storage Market by Storage System
13.4.8.3 India AI-Powered Storage Market by Storage Medium
13.4.8.4 India AI-Powered Storage Market by Storage Architecture
13.4.8.5 India AI-Powered Storage Market by End User
13.4.9 Japan
13.4.9.1 Japan AI-Powered Storage Market by Offering
13.4.9.2 Japan AI-Powered Storage Market by Storage System
13.4.9.3 Japan AI-Powered Storage Market by Storage Medium
13.4.9.4 Japan AI-Powered Storage Market by Storage Architecture
13.4.9.5 Japan AI-Powered Storage Market by End User
13.4.10 South Korea
13.4.10.1 South Korea AI-Powered Storage Market by Offering
13.4.10.2 South Korea AI-Powered Storage Market by Storage System
13.4.10.3 South Korea AI-Powered Storage Market by Storage Medium
13.4.10.4 South Korea AI-Powered Storage Market by Storage Architecture
13.4.10.5 South Korea AI-Powered Storage Market by End User
13.4.11 Vietnam
13.4.11.1 Vietnam AI-Powered Storage Market by Offering
13.4.11.2 Vietnam AI-Powered Storage Market by Storage System
13.4.11.3 Vietnam AI-Powered Storage Market by Storage Medium
13.4.11.4 Vietnam AI-Powered Storage Market by Storage Architecture
13.4.11.5 Vietnam AI-Powered Storage Market by End User
13.4.12 Singapore
13.4.12.1 Singapore AI-Powered Storage Market by Offering
13.4.12.2 Singapore AI-Powered Storage Market by Storage System
13.4.12.3 Singapore AI-Powered Storage Market by Storage Medium
13.4.12.4 Singapore AI-Powered Storage Market by Storage Architecture
13.4.12.5 Singapore AI-Powered Storage Market by End User
13.4.13 Australia
13.4.13.1 Australia AI-Powered Storage Market by Offering
13.4.13.2 Australia AI-Powered Storage Market by Storage System
13.4.13.3 Australia AI-Powered Storage Market by Storage Medium
13.4.13.4 Australia AI-Powered Storage Market by Storage Architecture
13.4.13.5 Australia AI-Powered Storage Market by End User
13.4.14 Rest of Asia-Pacific
13.4.14.1 APAC AI-Powered Storage Market by Offering
13.4.14.2 APAC AI-Powered Storage Market by Storage System
13.4.14.3 APAC AI-Powered Storage Market by Storage Medium
13..4.14.4 APAC AI-Powered Storage Market by Storage Architecture
13.4.14.5 APAC AI-Powered Storage Market by End User
13.5 The Middle East & Africa
13.5.1 Middle East
13.5.1.1 Middle East AI-Powered Storage Market By country
13.5.1.2 Middle East AI-Powered Storage Market by Offering
13.5.1.3 Middle East AI-Powered Storage Market by Storage System
13.5.1.4 Middle East AI-Powered Storage Market by Storage Medium
13.5.1.5 Middle East AI-Powered Storage Market by Storage Architecture
13.5.1.6 Middle East AI-Powered Storage Market by End User
13.5.1.7 UAE
13.5.1.7.1 UAE AI-Powered Storage Market by Offering
13.5.1.7.2 UAE AI-Powered Storage Market by Storage System
13.5.1.7.3 UAE AI-Powered Storage Market by Storage Medium
13.5.1.7.4 UAE AI-Powered Storage Market by Storage Architecture
13.5.1.7.5 UAE AI-Powered Storage Market by End User
13.5.1.8 Egypt
13.5.1.8.1 Egypt AI-Powered Storage Market by Offering
13.5.1.8.2 Egypt AI-Powered Storage Market by Storage System
13.5.1.8.3 Egypt AI-Powered Storage Market by Storage Medium
13.5.1.8.4 Egypt AI-Powered Storage Market by Storage Architecture
13.5.1.8.5 Egypt AI-Powered Storage Market by End User
13.5.1.9 Saudi Arabia
13.5.1.9.1 Saudi Arabia AI-Powered Storage Market by Offering
13.5.1.9.2 Saudi Arabia AI-Powered Storage Market by Storage System
13.5.1.9.3 Saudi Arabia AI-Powered Storage Market by Storage Medium
13.5.1.9.4 Saudi Arabia AI-Powered Storage Market by Storage Architecture
13.5.1.9.5 Saudi Arabia AI-Powered Storage Market by End User
13.5.1.10 Qatar
13.5.1.10.1 Qatar AI-Powered Storage Market by Offering
13.5.1.10.2 Qatar AI-Powered Storage Market by Storage System
13.5.1.10.3 Qatar AI-Powered Storage Market by Storage Medium
13.5.1.10.4 Qatar AI-Powered Storage Market by Storage Architecture
13.5.1.10.5 Qatar AI-Powered Storage Market by End User
13.5.1.11 Rest of Middle East
13.5.1.11.1 Rest of Middle East AI-Powered Storage Market by Offering
13.5.1.11.2 Rest of Middle East AI-Powered Storage Market by Storage System
13.5.1.11.3 Rest of Middle East AI-Powered Storage Market By Storage Medium
13.5.1.11.4 Rest of Middle East AI-Powered Storage Market by Storage Architecture
13.5.1.11.5 Rest of Middle East AI-Powered Storage Market by End User
13.5.2 Africa
13.5.2.1 Africa AI-Powered Storage Market by Country
13.5.2.2 Africa AI-Powered Storage Market by Offering
13.5.2.3 Africa AI-Powered Storage Market by Storage System
13.5.2.4 Africa AI-Powered Storage Market by Resolution
13.5.2.5 Africa AI-Powered Storage Market by Storage Architecture
13.5.2.6 Africa AI-Powered Storage Market by End User
13.5.2.7 Nigeria
13.5.2.7.1 Nigeria AI-Powered Storage Market by Offering
13.5.2.7.2 Nigeria AI-Powered Storage Market by Storage System
13.5.2.7.3 Nigeria AI-Powered Storage Market by Storage Medium
13.5.2.7.4 Nigeria AI-Powered Storage Market by Storage Architecture
13.5.2.7.5 Nigeria AI-Powered Storage Market by End User
13.5.2.8 South Africa
13.5.2.8.1 South Africa AI-Powered Storage Market by Offering
13.5.2.8.2 South Africa AI-Powered Storage Market by Storage System
13.5.2.8.3 South Africa AI-Powered Storage Market by Storage Medium
13.5.2.8.4 South Africa AI-Powered Storage Market by Storage Architecture
13.5.2.8.5 South Africa AI-Powered Storage Market by End User
13.5.2.9 Rest of Africa
13.5.2.9.1 Rest of Africa AI-Powered Storage Market by Offering
13.5.2.9.2 Rest of Africa AI-Powered Storage Market by Storage System
13.5.2.9.3 Rest of Africa AI-Powered Storage Market by Storage Medium
13.5.2.9.4 Rest of Africa AI-Powered Storage Market by Storage Architecture
13.5.2.9.5 Rest of Africa AI-Powered Storage Market by End User
13.6 Latin America
13.6.1 Latin America AI-Powered Storage Market by Country
13.6.2 Latin America AI-Powered Storage Market by Offering
13.6.3 Latin America AI-Powered Storage Market by Storage System
13.6.4 Latin America AI-Powered Storage Market by Storage Medium
13.6.5 Latin America AI-Powered Storage Market by Storage Architecture
13.6.6 Latin America AI-Powered Storage Market by End User
13.6.7 Brazil
13.6.7.1 Brazil AI-Powered Storage Market by Offering
13.6.7.2 Brazil AI-Powered Storage Market by Storage System
13.6.7.3 Brazil AI-Powered Storage Market by Storage Medium
13.6.7.4 Brazil AI-Powered Storage Market by Storage Architecture
13.6.7.5 Brazil AI-Powered Storage Market by End User
13.6.8 Argentina
13.6.8.1 Argentina AI-Powered Storage Market by Offering
13.6.8.2 Argentina AI-Powered Storage Market by Storage System
13.6.8.3 Argentina AI-Powered Storage Market by Storage Medium
13.6.8.4 Argentina AI-Powered Storage Market by Storage Architecture
13.6.8.5 Argentina AI-Powered Storage Market by End User
13.6.9 Colombia
13.6.9.1 Colombia AI-Powered Storage Market by Offering
13.6.9.2 Colombia AI-Powered Storage Market by Storage System
13.6.9.3 Colombia AI-Powered Storage Market by Storage Medium
13.6.9.4 Colombia AI-Powered Storage Market by Storage Architecture
13.6.9.5 Colombia AI-Powered Storage Market by End User
13.6.10 Rest of Latin America
13.6.10.1 Rest of Latin America AI-Powered Storage Market by Offering
13.6.10.2 Rest of Latin America AI-Powered Storage Market by Storage System
13.6.10.3 Rest of Latin America AI-Powered Storage Market by Storage Medium
13.6.10.4 Rest of Latin America AI-Powered Storage Market by Storage Architecture
13.6.10.5 Rest of Latin America AI-Powered Storage Market by End User
14. Company Profile
14.1 Dell Technologies
14.1.1 Company Overview
14.1.2 Financials
14.1.3 Product/ Services Offered
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 Advanced Micro Devices
14.2.1 Company Overview
14.2.2 Financials
14.2.3 Product/ Services Offered
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 CISCO
14.3.1 Company Overview
14.3.2 Financials
14.3.3 Product/ Services Offered
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 IBM
14.4.1 Company Overview
14.4.2 Financials
14.4.3 Product/ Services Offered
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 Toshiba
14.5.1 Company Overview
14.5.2 Financials
14.5.3 Product/ Services Offered
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Intel Corporation
14.6.1 Company Overview
14.6.2 Financials
14.6.3 Product/ Services Offered
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Hitachi
14.7.1 Company Overview
14.7.2 Financials
14.7.3 Product/ Services Offered
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 NVIDIA Corporation
14.8.1 Company Overview
14.8.2 Financials
14.8.3 Product/ Services Offered
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Samsung Electronics.
14.9.1 Company Overview
14.9.2 Financials
14.9.3 Product/ Services Offered
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 Data direct Network
14.10.1 Company Overview
14.10.2 Financials
14.10.3 Product/ Services Offered
14.10.4 SWOT Analysis
14.10.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
15.3.1 Industry News
15.3.2 Company News
15.3.3 Mergers & Acquisitions
16. USE Cases and Best Practices
17. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Intruder Alarm System Market size was valued at USD 2301.3million in 2022 and is expected to grow to USD 4897.27 million by 2030 and grow at a CAGR of 9.9 % over the forecast period of 2023-2030.
The Contraband Detectors Market Size was valued at USD 4.50 billion in 2023 and is expected to reach USD 8.03 billion by 2031 and grow at a CAGR of 7.5% over the forecast period 2024-2031.
The Smart Beacons Market size was valued at USD 3.3 billion in 2022 and is expected to grow to USD 42.90 billion by 2030 and grow at a CAGR of 37.8% over the forecast period of 2023-2030
The Bitcoin ATM Machine Market size was valued at USD 0.013 billion in 2023 and is expected to Reach USD 0.447 billion by 2031 and grow at a CAGR of 55.62 % over the forecast period of 2024-2031.
The Micro Server IC Market size was valued at USD 1.68 billion in 2023 and is expected to grow to USD 4.36 billion by 2031 and grow at a CAGR of 12.6% over the forecast period of 2024-2031.
Radar Sensors Market size was valued at USD 19.4 billion in 2022 and is expected to grow to USD 79.07 billion by 2030 and grow at a CAGR of 19.2% over the forecast period of 2023-2030
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