The Italy Computational Storage Market was valued at $2.5 Million in 2026 and projected to reach to $12.1 Million by 2031, representing a compound annual growth rate of 30.5%. Italy's computational storage market is poised for sustained high-growth expansion through 2031, driven by accelerating digital transformation across key verticals including manufacturing, telecommunications, and financial services.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
Italy's computational storage market is projected to grow from $2.5 million in 2026 to $12.1 million by 2031, representing a 30.5% CAGR—outpacing the global average of 29% and demonstrating Italy's accelerating adoption of advanced storage technologies.
Italian enterprises are increasingly deploying edge computing solutions to reduce latency and improve real-time data processing capabilities, driving significant investments in computational storage infrastructure across manufacturing, logistics, and financial services sectors.
Italy's data center operators are actively upgrading legacy infrastructure with computational storage systems to enhance efficiency, reduce power consumption, and meet growing demands from cloud service providers and enterprise clients seeking optimized performance.
As a key European market, Italy's computational storage expansion reflects broader digital transformation initiatives across Southern Europe, positioning the country as an emerging hub for advanced semiconductor and storage technology adoption.
| Report Metric | Details |
|---|---|
| Base Year | 2026 |
| Fastest Growing Segment | SOFTWARE (Offering) |
| Forecast Period | 2026–2031 |
| Growth Rate | CAGR of 29% from 2026 to 2031 |
| Largest Segment | HARDWARE (Offering) |
| Market Size Base Year (Billions) | ~USD 0.93 (2026) |
| Revenue Forecast (Billions) | ~USD 3.33 (2031) |
| Segments Covered | Offering, Hardware, Device Type, End User |
4 segment dimensions are covered across the global market.
| Segment | 2026 | 2027 | 2028 | 2029 | 2030 | 2031 | 2032 | CAGR (%) |
|---|---|---|---|---|---|---|---|---|
| CLOUD SERVICE PROVIDERS | 8.2 | 11.2 | 14.6 | 19.9 | 25.7 | 34.9 | 44.9 | 32.8 |
| ENTERPRISE STORAGE | 9 | 11.9 | 14.9 | 19.6 | 24.6 | 32.3 | 40.4 | 28.4 |
| GOVERNMENT BODIES | 1.7 | 2.1 | 2.4 | 2.9 | 3.3 | 3.9 | 4.5 | 17.3 |
| TOTAL | 18.9 | 25.2 | 31.9 | 42.4 | 53.6 | 71.2 | 89.8 | 29.6 |
| Company | HQ | Ownership | Strongest segments |
|---|---|---|---|
| ADVANCED MICRO DEVICES, INC. | United States | Public Company | Data Center (EPYC, Instinct, Pensando, Alveo),Client (Ryzen, Ryzen AI, Athlon),Gaming (Radeon, semi-custom SoCs for consoles), |
| SAMSUNG ELECTRONICS CO., LTD. | South Korea | Public Company | Smartphones, tablets, wearables, and accessories,Memory, storage, and system LSI,TVs, monitors, and display panels, |
| INTEL CORPORATION | United States | Public Company | Client Computing Group (client and commercial CPUs, discrete client GPUs, edge and connectivity),Data Center and AI (server CPUs, discrete GPUs, networking),Intel Foundry (wafer fabrication, substrates, related services), |
| MARVELL | United States | Public Company | Ethernet controllers, switches, and PHYs,Storage controllers and host interfaces,Optical and electrical interconnect DSPs, |
| ARM LIMITED | United Kingdom | Public Company | CPU IP,GPU and NPU accelerators,System IP and interconnects, |
| NVIDIA CORPORATION | United States | Public Company | Data Center AI & Accelerated Compute Platforms,Networking (High-speed Interconnects & DPUs),Gaming GPUs (GeForce), |
| KALRAY SA | France | Public Company | Storage acceleration cards,AI and compute acceleration cards,Embedded/automotive and edge MPPA solutions, |
| PHISON ELECTRONICS CORP. | Taiwan | Public Company | Client and external SSD solutions,Flash controllers (SSD, USB, card),Embedded eMMC/UFS and industrial/automotive storage, |
Advanced Micro Devices, Inc. is a United States-based semiconductor company founded in 1969 that designs and manufactures processors and graphics processing units. With 31,000 employees, AMD operates as a publicly traded company serving the computing, gaming, and data center markets.
Samsung Electronics Co., Ltd. is a South Korean multinational conglomerate founded in 1969 with 128,735 employees. The company is a leading manufacturer of semiconductors, consumer electronics, displays, and home appliances, operating as a public company with global market presence.
Intel Corporation is a United States semiconductor company founded in 1968 with 85,100 employees. As a publicly traded company, Intel designs and manufactures microprocessors and computing technologies for personal computers, data centers, and enterprise markets.
Marvell is a United States semiconductor company founded in 1995 with 7,480 employees. Operating as a public company, Marvell designs and manufactures integrated circuits for storage, networking, and mobile applications.
ARM Limited is a United Kingdom-based semiconductor design company founded in 1990 with 9,584 employees. Operating as a public company, ARM designs processor architectures and intellectual property licensed to manufacturers worldwide.
NVIDIA Corporation is a United States technology company founded in 1993 with 42,000 employees. As a publicly traded company, NVIDIA designs and manufactures graphics processing units and system-on-chip units for gaming, professional visualization, and artificial intelligence applications.
Kalray SA is a French semiconductor company founded in 2008 with 92 employees. Operating as a public company, Kalray develops processors and computing solutions for data-intensive and edge computing applications.
Phison Electronics Corp. is a Taiwan-based semiconductor company founded in 2000 with 2,052 employees. Operating as a public company, Phison designs and manufactures solid-state drive controllers and memory solutions.
Italy's computational storage market was valued at $2.5 million in 2026 and is expected to grow to $12.1 million by 2031.
Italy's computational storage market is growing at a compound annual growth rate (CAGR) of 30.5% from 2026 to 2031.
Manufacturing, finance, and technology sectors in Italy are primary drivers of computational storage adoption, supported by digital transformation initiatives.
Italy's 30.5% CAGR exceeds the global CAGR of 29%, indicating stronger regional market momentum and adoption rates.
Edge computing demand, data center modernization, AI/ML infrastructure investment, and enterprise digital transformation are key growth drivers in Italy.
The study involved four major activities in estimating the size of the computational storage market. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across value chains through primary research. The bottom-up approach was employed to estimate the overall market size. After that, market breakdown and data triangulation were used to estimate segment and subsegment market sizes.
In the secondary research process, sources such as annual reports, press releases, investor presentations of companies, white papers, and articles by recognized authors were referred to. Secondary research was done to obtain key information about the market’s supply chain, the market’s value chain, the pool of key market players, and market segmentation according to industry trends, region, and developments from both market and technology perspectives.
Extensive primary research has been conducted after understanding and analyzing the computational storage market scenario through secondary research. Several primary interviews have been conducted with key opinion leaders from both demand- and supply-side vendors across four major regions—North America, Europe, Asia Pacific, and the RoW. Approximately 25% of primary interviews have been conducted with the demand side and 75% with the supply side. This primary data has been collected through telephonic interviews, questionnaires, and emails.

Note: “Others” include sales, marketing specialists, and product managers. The 3 tiers of the companies are defined based on their total revenue as of 2024; tier 1: revenue greater than USD 1 billion, tier 2: revenue between USD 500 million and USD 1 billion, and tier 3: revenue less than USD 500 million.
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In the complete market engineering process, top-down and bottom-up approaches and several data triangulation methods have been used to estimate and forecast the market size for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analyses have been conducted across the complete market engineering process to present key information/insights throughout the report.
The key players in the market have been identified through secondary research, and their market shares in the respective regions have been determined through primary and secondary research. This entire procedure includes studying the annual and financial reports of the top players, as well as extensive interviews with industry experts (such as CEOs, VPs, directors, and marketing executives) to provide key insights (both quantitative and qualitative) on the computational storage market. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All the possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data has been consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in this report.

In the top-down approach, the overall market size has been used to estimate the size of the individual markets (mentioned in the market segmentation) through percentage splits from secondary and primary research. For the calculation of specific market segments, the most appropriate immediate parent market size has been used to implement the top-down approach. The bottom-up approach has also been implemented for the data obtained from the secondary research to validate the market size of various segments. Each company’s market share has been estimated to verify the revenue shares used earlier in the bottom-up approach. With the data triangulation procedure and validation of the data through primaries, the overall parent market size and each individual market size have been determined and confirmed in this study.
After arriving at the overall market size through the above process, the overall market has been split into several segments. To complete the overall market engineering process and arrive at the exact statistics for all the segments, market breakdown, and data triangulation procedures have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. The market has also been validated using both top-down and bottom-up approaches.
Computational storage refers to an advanced storage architecture that integrates processing capabilities directly within the storage device, allowing data to be processed where it is stored rather than being transferred to a separate CPU. This approach reduces latency, offloads workloads from the central processor, and improves overall system efficiency, especially in data-intensive applications such as AI, big data analytics, and high-performance computing. By combining storage and computation, computational storage enables faster data handling, real-time analytics, and optimized performance for enterprises and cloud data centers. It represents a shift from traditional storage solutions toward intelligent, workload-aware storage systems.
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