Global Predictive Storage Analytics Tool Market Research Report 2025

Publication ID:

PB503255946

Publication Date:

March 7, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Predictive Storage Analytics Tool was valued at US$ 186 million in the year 2024 and is projected to reach a revised size of US$ 266 million by 2031, growing at a CAGR of 5.3% during the forecast period.
Predictive storage analytics tools refer to software applications or solutions that leverage data analysis, machine learning, and predictive modeling techniques to optimize storage infrastructure performance, capacity planning, and data management. These tools analyze historical and real-time data from storage systems to provide insights, predictions, and recommendations for improving storage efficiency, optimizing resource allocation, and minimizing risks.
The predictive storage analytics tool market has witnessed growth in recent years due to several factors. One of the key drivers is the increasing complexity of storage environments and the need for efficient storage management. With the exponential growth of data and the proliferation of storage systems, organizations face challenges in optimizing storage resources, ensuring performance, and controlling costs. Predictive storage analytics tools help organizations gain visibility into their storage infrastructure, identify potential issues, and make data-driven decisions to improve efficiency and performance.
Furthermore, the market is driven by the growing adoption of cloud storage and hybrid storage environments. As organizations embrace cloud-based storage solutions and hybrid architectures, the management and optimization of storage resources become more critical. Predictive storage analytics tools provide insights into cloud storage usage, performance, and costs, helping organizations optimize their cloud storage deployments and ensure optimal resource utilization.
Additionally, advancements in machine learning and artificial intelligence (AI) have enhanced the capabilities of predictive storage analytics tools. These tools can analyze large volumes of data, detect patterns, and make predictions about storage performance, capacity trends, and potential bottlenecks. By leveraging machine learning algorithms, they can provide proactive alerts, automate data tiering, and optimize storage configurations based on workload patterns and performance requirements.
The market for predictive storage analytics tools can be segmented based on factors such as deployment models (on-premises, cloud-based), organization size (small and medium-sized enterprises, large enterprises), verticals (IT and telecommunications, healthcare, banking and finance, etc.), and geographical regions. Different tools may offer specific functionalities, integration capabilities with storage systems, and customization options based on the needs of organizations.
This report aims to provide a comprehensive presentation of the global market for Predictive Storage Analytics Tool, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Storage Analytics Tool.
The Predictive Storage Analytics Tool market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Predictive Storage Analytics Tool market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Predictive Storage Analytics Tool companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Dell
HPE InfoSight
Hitachi
IBM
Infinidat
NetApp
Pure Storage
SolarWinds
Salient Systems
Segment by Type
Cloud-based
On-premises
Segment by Application
SMEs
Large Enterprises
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive Storage Analytics Tool company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Predictive Storage Analytics Tool Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Predictive Storage Analytics Tool Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Storage Analytics Tool Market Perspective (2020-2031)
2.2 Global Predictive Storage Analytics Tool Growth Trends by Region
2.2.1 Global Predictive Storage Analytics Tool Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Predictive Storage Analytics Tool Historic Market Size by Region (2020-2025)
2.2.3 Predictive Storage Analytics Tool Forecasted Market Size by Region (2026-2031)
2.3 Predictive Storage Analytics Tool Market Dynamics
2.3.1 Predictive Storage Analytics Tool Industry Trends
2.3.2 Predictive Storage Analytics Tool Market Drivers
2.3.3 Predictive Storage Analytics Tool Market Challenges
2.3.4 Predictive Storage Analytics Tool Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Storage Analytics Tool Players by Revenue
3.1.1 Global Top Predictive Storage Analytics Tool Players by Revenue (2020-2025)
3.1.2 Global Predictive Storage Analytics Tool Revenue Market Share by Players (2020-2025)
3.2 Global Predictive Storage Analytics Tool Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Predictive Storage Analytics Tool Revenue
3.4 Global Predictive Storage Analytics Tool Market Concentration Ratio
3.4.1 Global Predictive Storage Analytics Tool Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Storage Analytics Tool Revenue in 2024
3.5 Global Key Players of Predictive Storage Analytics Tool Head office and Area Served
3.6 Global Key Players of Predictive Storage Analytics Tool, Product and Application
3.7 Global Key Players of Predictive Storage Analytics Tool, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Storage Analytics Tool Breakdown Data by Type
4.1 Global Predictive Storage Analytics Tool Historic Market Size by Type (2020-2025)
4.2 Global Predictive Storage Analytics Tool Forecasted Market Size by Type (2026-2031)
5 Predictive Storage Analytics Tool Breakdown Data by Application
5.1 Global Predictive Storage Analytics Tool Historic Market Size by Application (2020-2025)
5.2 Global Predictive Storage Analytics Tool Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Predictive Storage Analytics Tool Market Size (2020-2031)
6.2 North America Predictive Storage Analytics Tool Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Predictive Storage Analytics Tool Market Size by Country (2020-2025)
6.4 North America Predictive Storage Analytics Tool Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Storage Analytics Tool Market Size (2020-2031)
7.2 Europe Predictive Storage Analytics Tool Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Predictive Storage Analytics Tool Market Size by Country (2020-2025)
7.4 Europe Predictive Storage Analytics Tool Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Predictive Storage Analytics Tool Market Size (2020-2031)
8.2 Asia-Pacific Predictive Storage Analytics Tool Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Predictive Storage Analytics Tool Market Size by Region (2020-2025)
8.4 Asia-Pacific Predictive Storage Analytics Tool Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Predictive Storage Analytics Tool Market Size (2020-2031)
9.2 Latin America Predictive Storage Analytics Tool Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Predictive Storage Analytics Tool Market Size by Country (2020-2025)
9.4 Latin America Predictive Storage Analytics Tool Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Storage Analytics Tool Market Size (2020-2031)
10.2 Middle East & Africa Predictive Storage Analytics Tool Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Predictive Storage Analytics Tool Market Size by Country (2020-2025)
10.4 Middle East & Africa Predictive Storage Analytics Tool Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Dell
11.1.1 Dell Company Details
11.1.2 Dell Business Overview
11.1.3 Dell Predictive Storage Analytics Tool Introduction
11.1.4 Dell Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.1.5 Dell Recent Development
11.2 HPE InfoSight
11.2.1 HPE InfoSight Company Details
11.2.2 HPE InfoSight Business Overview
11.2.3 HPE InfoSight Predictive Storage Analytics Tool Introduction
11.2.4 HPE InfoSight Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.2.5 HPE InfoSight Recent Development
11.3 Hitachi
11.3.1 Hitachi Company Details
11.3.2 Hitachi Business Overview
11.3.3 Hitachi Predictive Storage Analytics Tool Introduction
11.3.4 Hitachi Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.3.5 Hitachi Recent Development
11.4 IBM
11.4.1 IBM Company Details
11.4.2 IBM Business Overview
11.4.3 IBM Predictive Storage Analytics Tool Introduction
11.4.4 IBM Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.4.5 IBM Recent Development
11.5 Infinidat
11.5.1 Infinidat Company Details
11.5.2 Infinidat Business Overview
11.5.3 Infinidat Predictive Storage Analytics Tool Introduction
11.5.4 Infinidat Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.5.5 Infinidat Recent Development
11.6 NetApp
11.6.1 NetApp Company Details
11.6.2 NetApp Business Overview
11.6.3 NetApp Predictive Storage Analytics Tool Introduction
11.6.4 NetApp Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.6.5 NetApp Recent Development
11.7 Pure Storage
11.7.1 Pure Storage Company Details
11.7.2 Pure Storage Business Overview
11.7.3 Pure Storage Predictive Storage Analytics Tool Introduction
11.7.4 Pure Storage Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.7.5 Pure Storage Recent Development
11.8 SolarWinds
11.8.1 SolarWinds Company Details
11.8.2 SolarWinds Business Overview
11.8.3 SolarWinds Predictive Storage Analytics Tool Introduction
11.8.4 SolarWinds Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.8.5 SolarWinds Recent Development
11.9 Salient Systems
11.9.1 Salient Systems Company Details
11.9.2 Salient Systems Business Overview
11.9.3 Salient Systems Predictive Storage Analytics Tool Introduction
11.9.4 Salient Systems Revenue in Predictive Storage Analytics Tool Business (2020-2025)
11.9.5 Salient Systems Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Dell
HPE InfoSight
Hitachi
IBM
Infinidat
NetApp
Pure Storage
SolarWinds
Salient Systems

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