Europe AI-powered Storage Market Volume Analysis, Segments, Value Share and Key Trends 2020-2027

Increasing data volume, growing requirement for global enterprise infrastructure to refresh their storage architecture, rising acceptance of cloud-based services and increasing need for AI in Hight Performance Computing (HPC) data centers across the European countries are the major factors contributing to the growth of the Europe AI-powered Storage Market. The expanding demand of AI followed by the rising usage of advanced analytics is creating demand for AI storage infrastructures in the coming years. The rapid growth in the digital data along with the increasing favourable policies and initiatives launched by numerous governments across the European countries is encouraging the end-users to opt for AI-powered storage systems. For instance, in 2018 France launched a national strategy to accelerate the tech industry and invested USD 1.6 billion for research in AI and support emerging start-ups. Moreover, Germany has launched national AI strategy in 2018 and has invested Euro 3 billion for AI research and development. The increasing number of smart devices is increasing the amount of data generated, which will further increase the demand for AI-powered storage. Various companies are opening HPC data centers in Europe to meet the growing demand of AI data storage. For instance, Goohilly Earth Station, a UK based company opened a data center with green HPC platform for AI and ML. The increasing number of cross-industry partnership and rapid adoption of data analysis tools are further driving the growth of the market during the forecast period. However, lack of AI hardware experts and data security concern associated with cloud and server based services are restraining the growth of the market.
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Artificial Intelligence (AI) is one of the emerging technologies which typically demonstrates some of the following behavioural aspects similar to the human intelligence such as learning, problem solving skills, reasoning skills, and many other skills. AI workload is different from generic workloads and require large amount of storage. The increasing adoption of cloud-based technology is creating demand for AI-powered storage solution.
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Based on storage system, the Network attached Storage system segment is expected to grow at a higher CAGR in the market during the forecast period owing to the increasing adoption of NAS to cope with the growth of unstructured data. The Network attached Storage system consist of multiple racks of social media and helps in storing the data. Small and medium sized businesses are widely adopting cloud-based NAS storage system due to its various features such as automate data backup, ease to use, and simple server setup process.
Based on end-user, the Healthcare segment is projected to grow at higher CAGR in the market during the forecast period due to the regulatory mandates to use these systems for electronic health records, increased emphasis on precision medicine and a growing involvement of service providers participating in the growth of healthcare AI solutions. AI in healthcare offers various benefits such as analyzing patient data sets to deliver faster healthcare at lower cost and helps in automating task.
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Various notable players operating in the Europe AI-powered Storage Market include Dell Inc., IBM Corporation, Hewlett Packard Enterprise Company, Intel Corporation, NVIDIA Corporation, Pure Storage, Cisco Corporation, NetApp, Samsung Electronics, Micron technology, and Advanced Micro Devices (AMD).
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Key Development:
  • In Dec 2018, IBM and Nvidia entered into partnership for AI-powered storage. Under this partnership, Nvidia helped IBM and launched a new storage system known as IBM Spectrum AI with Nvidia DGX. The tool is designed to be used with data tools like Spark, TensorFlow or PyTorch.
The Europe AI-powered Storage Market has been segmented based on offering, storage system, storage architecture, storage medium, end-user, and countries. Based on offering, the market is segmented into Hardware and Software. Hardware is further segmented into Storage Medium, and Other Hardware. Storage medium includes SSD, and HDD. Other hardware comprises CPU and GPU. Based on storage system, the market is further is segmented into Direct-Attached Storage Systems, Network-Attached Storage Systems, and Storage Area Network. Based on storage architecture, the market is segmented into File- and Object-Based Storage, and Block Storage. File- and Object-Based Storage includes File Storage, and Object Storage. Based on storage medium, the market is segmented into Hard Disk Drive, and Solid-State Drive. Solid state drive includes All-Flash Arrays, and Hybrid Flash Arrays. Based on end user, the market is segmented into Enterprises, Government Bodies, Cloud Service Providers, and Telecom Companies. Enterprises is further segmented into BFSI, Healthcare, Media and Entertainment, Retail, Consumer Goods, Manufacturing, and Other Enterprises. Other enterprises include Aerospace and Defense, Business and Consulting, Education and Research, and Energy.
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