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Part of: Computational Storage Market (Global)

The India Computational Storage Market was valued at $27.8 Million in 2026 and projected to reach to $147.8 Million by 2031, representing a compound annual growth rate of CAGR 32.1%. India's computational storage market is poised for exceptional growth, driven by the country's digital transformation agenda and increasing enterprise reliance on data-intensive applications.

India Computational Storage Market (2026-2031) : Size and Share
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Market Size in USD 26.32 MN
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India Computational Storage Market Trends and Insights

  • This represents a compound annual growth rate (CAGR) of 32.1%, significantly outpacing global trends.
  • India's digital infrastructure modernization, coupled with increasing data center investments and cloud adoption, is driving demand for advanced storage solutions that integrate processing capabilities at the storage layer. The computational storage sector in India is benefiting from the nation's growing emphasis on artificial intelligence, machine learning, and edge computing applications.
  • India's expanding IT services ecosystem and rising enterprise data volumes are creating substantial opportunities for computational storage adoption.
  • By 2031, India is expected to emerge as a key market within the Asia Pacific region, driven by cost-sensitive innovation and the proliferation of data-intensive workloads across financial services, telecommunications, and manufacturing sectors. India's market trajectory reflects both domestic demand and its position as a global technology hub.
  • The country's computational storage market growth is underpinned by increasing investments in semiconductor manufacturing and data infrastructure, positioning India as a critical player in the regional and global computational storage landscape through 2031..

Key Market Statistics

  • CAGR (2026-2031) CAGR 32.1%
  • Market Size, 2026 ~USD 27.8 Million
  • Forecast, 2031 ~USD 147.8 Million
  • Country India

India Computational Storage Market Overview

Explosive Growth Trajectory :

India's computational storage market is projected to grow from USD 27.8 million in 2026 to USD 147.8 million by 2031, representing a 32.1% CAGR that significantly exceeds the global average of 29%.

Data Center Expansion :

Rapid proliferation of hyperscale data centers across major Indian metros like Mumbai, Delhi, and Bangalore is driving substantial investments in computational storage infrastructure to support enterprise workloads.

Cloud Adoption Surge :

Increasing migration of Indian enterprises to cloud platforms and adoption of AI/ML workloads is creating unprecedented demand for advanced storage solutions with integrated processing capabilities.

Digital Infrastructure Modernization :

Government initiatives like Digital India and Make in India, combined with 5G rollout, are accelerating the modernization of digital infrastructure and driving computational storage adoption across sectors.

India Computational Storage Market Dynamics

  • The 32.1% CAGR reflects strong momentum from cloud service providers, financial institutions, and e-commerce platforms investing heavily in advanced storage infrastructure.
  • With data center capacity expanding rapidly and AI/ML adoption accelerating across industries, computational storage solutions are becoming critical for organizations seeking to optimize performance and reduce latency.
  • The market is expected to attract significant foreign and domestic investments as India positions itself as a global technology hub..

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    Key Takeaways

    • India's computational storage market is projected to grow from USD 27.8 million in 2026 to USD 147.8 million by 2031, representing a 32.1% CAGR.
    • India's rapid digital transformation and cloud infrastructure expansion are primary catalysts for computational storage adoption across enterprises.
    • India's position as a global IT services hub creates unique opportunities for computational storage integration in data-intensive applications.
    • India's market growth rate significantly exceeds global averages, positioning the country as a high-growth region within Asia Pacific.

    Computational Storage Market Report Scope

    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

    India Computational Storage Market Report Segmentation

    4 segment dimensions are covered across the global market.

    By Offering

    • Hardware
    • Software

    By Hardware

    • Processors
    • Solid-State Drives

    By Device Type

    • Fixed Computational Storage Devices
    • Programmable Computational Storage Devices

    By End User

    • Cloud Service Providers
    • Enterprise Storage
    • Government Bodies

    INDIA: COMPUTATIONAL STORAGE MARKET, BY END USER, 2026–2032

    Segment2026202720282029203020312032CAGR (%)
    CLOUD SERVICE PROVIDERS1216.122.230.341.354.673.935.4
    ENTERPRISE STORAGE13.217.122.629.939.450.666.530.9
    GOVERNMENT BODIES2.533.64.45.26.27.419.6
    TOTAL27.836.248.464.686111.4147.832.1

    Target Audience

    • Data Center Operators : Need India market insights to plan infrastructure investments, evaluate computational storage adoption rates, and understand competitive positioning within India's rapidly expanding data center ecosystem.
    • Cloud Service Providers : Require detailed India market data to optimize service offerings, forecast demand for computational storage capabilities, and align product roadmaps with regional customer requirements and growth opportunities.
    • Storage Solution Vendors : Seek India-specific market intelligence to identify customer segments, assess market penetration potential, benchmark against competitors, and develop localized sales and marketing strategies.
    • Enterprise IT Decision Makers : Need market validation and trend analysis to justify computational storage investments, evaluate vendor solutions, and align technology procurement with India's digital transformation initiatives.
    • Investment & Strategy Consultants : Require comprehensive India market data to advise clients on market entry strategies, investment opportunities, competitive dynamics, and long-term growth potential in computational storage.

    Key Companies in the India Computational Storage Market

    CompanyHQOwnershipStrongest segments
    ADVANCED MICRO DEVICES, INC.United StatesPublic CompanyData Center (EPYC, Instinct, Pensando, Alveo),Client (Ryzen, Ryzen AI, Athlon),Gaming (Radeon, semi-custom SoCs for consoles),
    SAMSUNG ELECTRONICS CO., LTD.South KoreaPublic CompanySmartphones, tablets, wearables, and accessories,Memory, storage, and system LSI,TVs, monitors, and display panels,
    INTEL CORPORATIONUnited StatesPublic CompanyClient 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),
    MARVELLUnited StatesPublic CompanyEthernet controllers, switches, and PHYs,Storage controllers and host interfaces,Optical and electrical interconnect DSPs,
    ARM LIMITEDUnited KingdomPublic CompanyCPU IP,GPU and NPU accelerators,System IP and interconnects,
    NVIDIA CORPORATIONUnited StatesPublic CompanyData Center AI & Accelerated Compute Platforms,Networking (High-speed Interconnects & DPUs),Gaming GPUs (GeForce),
    KALRAY SAFrancePublic CompanyStorage acceleration cards,AI and compute acceleration cards,Embedded/automotive and edge MPPA solutions,
    PHISON ELECTRONICS CORP.TaiwanPublic CompanyClient and external SSD solutions,Flash controllers (SSD, USB, card),Embedded eMMC/UFS and industrial/automotive storage,

    ADVANCED MICRO DEVICES, INC.

    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.

    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

    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

    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

    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

    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

    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.

    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.

    Reasons to Buy this Report

    • Market Size & Growth Validation : Obtain precise market valuation for India (USD 27.8M in 2026) and verified 5-year forecast (USD 147.8M by 2031) to support investment decisions and business planning in this high-growth segment.
    • Competitive Positioning Strategy : Understand India-specific market dynamics, regional growth drivers, and competitive landscape to identify opportunities for market entry, expansion, or product differentiation in this emerging market.
    • Investment & Funding Decisions : Leverage India's 32.1% CAGR data to justify capital allocation, secure investor confidence, and benchmark performance against global trends when planning R&D or infrastructure investments.
    • Customer Segmentation Insights : Identify high-potential customer segments within India's data center, cloud, and enterprise sectors to tailor go-to-market strategies and maximize revenue capture in priority verticals.
    • Risk Mitigation & Forecasting : Access India-specific market forecasts and growth drivers to mitigate business risks, anticipate market shifts, and develop contingency strategies aligned with regional economic and technological trends.

    Frequently asked questions

    What is the current size of India's computational storage market?

    India's computational storage market was valued at USD 27.8 million in 2026 and is expected to grow to USD 147.8 million by 2031.

    What is the projected growth rate for India's computational storage market?

    India's computational storage market is projected to grow at a compound annual growth rate (CAGR) of 32.1% from 2026 to 2031.

    Which industries in India are driving computational storage adoption?

    India's financial services, telecommunications, manufacturing, and IT services sectors are primary drivers of computational storage demand due to increasing data volumes and AI/ML workloads.

    How does India's computational storage market growth compare to global trends?

    India's 32.1% CAGR significantly exceeds the global computational storage market CAGR of 29%, making India one of the fastest-growing regions.

    What factors are contributing to India's computational storage market expansion?

    India's market growth is driven by digital infrastructure modernization, cloud adoption, edge computing initiatives, semiconductor manufacturing investments, and rising enterprise data volumes.

    RESEARCH METHODOLOGY

    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.

    Secondary Research

    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.

    Primary Research

    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.

    Computational Storage Market Size, and Share

    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.

    To know about the assumptions considered for the study, download the pdf brochure

    Market Size Estimation

    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.

    Computational Storage Market : Top-Down and Bottom-Up Approach

    Computational Storage Market Top Down and Bottom Up Approach

    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.

    Data Triangulation

    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.

    Market Definition

    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.

    Key Stakeholders

    • Raw material suppliers
    • Storage manufacturers
    • Semiconductor manufacturers
    • Research institutes and government organizations
    • Traders, distributors, and suppliers of electronic devices
    • Logic device manufacturers
    • Semiconductor industry players

    Report Objectives

    • To define, describe, and forecast the computational storage market based on offering, type, end-use industry, and region
    • To forecast the market size across four major regions, namely North America, Europe, Asia Pacific, and the Rest of the World (RoW), along with their respective countries, in terms of value
    • To describe and forecast the computational storage market size in terms of volume
    • To present detailed information regarding the major factors influencing the market (drivers, restraints, opportunities, and challenges)
    • To provide an analysis of the market ecosystem, case studies, patents, technologies, pricing analysis, Porter’s five forces, and regulations pertaining to the market
    • To offer a comprehensive overview of the value chain of the computational storage market ecosystem
    • To critically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
    • To strategically profile the key players and comprehensively analyze their market shares and core competencies
    • To assess the opportunities in the market for stakeholders and describe the competitive landscape of the market
    • To analyze competitive developments, such as collaborations, acquisitions, partnerships, and product developments, in the market
    • To analyze the impact of AI/GenAI, the 2025 US tariff, and the macroeconomic outlook for each region covered under the study

    Available customizations:

    Based on the given market data, MarketsandMarkets offers customizations tailored to the company’s specific needs. The following customization options are available for the report:

    Company Information

    • Detailed analysis and profiling of 25 market players

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