Capacity Management Analytics Market - Growth, Trends, Forecasts (2020 - 2025)

The Capacity Management Analytics Market is segmented by Deployment (On-premise, Cloud), End-user Industry (IT & Telecom, Healthcare, Manufacturing, BFSI, Government), and Geography.

Market Snapshot

Capacity Management Analytics Market
Study Period: 2020-2025
Base Year: 2019
Fastest Growing Market: Asia Pacific
Largest Market: North America
CAGR: 18 %

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Market Overview

The Capacity Management Analytics Market is expected to register a CAGR of 18% during the forecast period (2020 - 2025). As the business environment is growing and the workloads are changing, the techniques that were once optimal are no longer feasible. Capacity management analytics primarily predicts the changes in the operations and autonomously rebalances the workloads in real-time as the condition changes, thereby avoiding the performance issues while significantly reducing virtual machine motioning and volatility.

  • Multiple organizations today are combatting the risks that are related to the virtualized infrastructure by significantly over-provisioning their hardware. The excess capacity is basically a cost that is currently viewed as a necessary solution owing to the rising complexity of new business environments. This inefficiency can however be avoided with the optimization of workload placements and right-sizing the virtual machine (VM) allocations in order to simultaneously combat both risk and capacity waste.
  • The management of the IT infrastructure has become much more complex in the past few years and organizations are increasingly augmenting or replacing their in-house systems with scalable resources that are being provided by cloud services. The cloud services primarily require the same level of capacity and performance management as an on-premises system, which has led to the creation of holistic capacity management and planning tools in order to adequately address these hybrid environments in the management process.
  • Capacity management solutions provides multiple benefits to an organization and is a factor in overall management of a computing infrastructure. In addition to ensure that all the systems are performing at an adequate levels, these analytics solution also helps in realizing cost savings by avoiding the over-provisioning of hardware and software resources. It also helps saving time by identifying extraneous activities such as backing up unused data or maintaining idle servers.
  • Owing to the recent outbreak of coronavirus, there is shift in usage from mobile internet to fixed-line broadband, adding significant revenue strain for the mobile-only CSPs in some regions. The CSPs, are currently in a crucial need to optimize their capacity in order to provide seamless service to their users.

Scope of the Report

The capacity management analytics solution primarily provides the IT infrastructure system managers, administrators, and the data center executives with access to all the information they majorly need to optimize their IT infrastructure availability, performance, and scalability. With the usage of the measurement and management of the available and planned capacity, IT teams can rapidly move from insight to action stage in order to improve services for their businesses.

By Deployment
On-premise
Cloud
By End-user Industry
IT & Telecom
Healthcare
Manufacturing
BFSI
Government
Other End-user Industries
Geography
North America
Europe
Asia Pacific
Latin America
Middle East and Africa

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Key Market Trends

Manufacturing Segment is Expected to Witness Significant Growth

  • The increasing data about the company's products and the manufacturing process has given the planners much more valuable information to analyze. By considering various factors, planners are now able to better predict the previously unpredictable issues that come up by analyzing the variables that negatively affect the manufacturing quality.
  • Without the usage of analytics, manufacturing planners previously devoted long stretches of time in order to map out the creative solutions in order to maximize the usage of machines and other resources that are available on the factory floor. Capacity management analytics has removed much of the time-intensive planning through automation.
  • With the advent of industry 4.0 in the manufacturing industry, various plants are adopting digital technologies to enhance, automate, and modernize the whole process. The integration of different digital transformation technologies, such as the internet of things (IoT), are significantly becoming prevalent, as it provides exceptional benefits. This has given rise to enormous data that can be analyzed to streamline the process.
  • The merging of Big Data with newer technologies has made processing large data sets easier than ever, and from mining Big Data to predictive analytics, manufacturing organizations are increasingly relying on these new, intelligent tools to help them succeed. The German Machinery and Plant Manufacturing Association indicates that, in 2020, big data-based business models are expected to contribute at least 7% more revenue to German manufacturing companies that they currently provide.
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North America is Expected to Witness Significant Growth

  • The North American region is anticipated to significant growth in the capacity management analytics market owing to the presence of multiple noticeable providers of these solutions and services such as IBM, BMC Software, VMware, among others.
  • The modern manufacturing facilities in the United States currently rely on new technologies and innovations to produce higher quality products at a significant rate, with lower costs. Owing to the organization's early adoption of advanced technologies, such as IoT, big data, DevOps, and mobility, manufacturers in the United States are expected to create a demand for these solutions in order to streamline their processes and use its deeper insights.
  • Moreover, the region is one of the leading innovators and pioneers, in terms of the adoption of analytics-based solutions, which is one of the largest markets. The increasing demand in the region is primarily driven, owing to a higher focus on innovations through R&D and technological advancements in the developed economies, such as the United States and Canada.
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Competitive Landscape

The Capacity Management Analytics Market is highly competitive owing to the presence of multiple players in the market providing capacity management analytics solutions in domestic and international markets. The market appears to be moderately concentrated with so many big players offering their solutions. Key strategies adopted by the players in the market are mergers and acquisitions, product innovation, among others in order to expand their product functionality and stay competitive in the market landscape. Some of the major players in the market are IBM Corporation, Broadcom Inc., NetApp, Inc., HPE among others.

  • Dec 2019 - Syncsort announced that it has closed the acquisition of the Pitney Bowes software and data business, thereby creating a data management software company with more than 11,000 enterprise customers, USD 600 million in revenue and 2,000 employees across the globe. The new company offers scale, agility, and a wide portfolio of solutions in order to empower leading enterprises in gaining a competitive advantage from their data.
  • Apr 2020 - TEOCO, the provider of planning & optimization, assurance and analytics solutions to more than 300 communication service providers (CSPs) across the globe, announced the launch of its ASSET 2020 solution, which is the latest release of its leading radio network planning tool. The product features support for dynamic spectrum sharing (DSS) between 4G and 5G, 5G neighbor planning, 5G measurements support and automatic site placement for 5G.

Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Assumptions

    2. 1.2 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET DYNAMICS

    1. 4.1 Market Overview

    2. 4.2 Market Drivers

      1. 4.2.1 Increasing Need for Optimization and Effective Utilization of IT Infrastructures

      2. 4.2.2 Increasing Complexities in IT Infrastructures

    3. 4.3 Market Restraints

      1. 4.3.1 Lower Adoption Among the SMEs

    4. 4.4 Porters Five Force Analysis

      1. 4.4.1 Threat of New Entrants

      2. 4.4.2 Bargaining Power of Buyers/Consumers

      3. 4.4.3 Bargaining Power of Suppliers

      4. 4.4.4 Threat of Substitute Products

      5. 4.4.5 Intensity of Competitive Rivalry

  5. 5. MARKET SEGMENTATION

    1. 5.1 By Deployment

      1. 5.1.1 On-premise

      2. 5.1.2 Cloud

    2. 5.2 By End-user Industry

      1. 5.2.1 IT & Telecom

      2. 5.2.2 Healthcare

      3. 5.2.3 Manufacturing

      4. 5.2.4 BFSI

      5. 5.2.5 Government

      6. 5.2.6 Other End-user Industries

    3. 5.3 Geography

      1. 5.3.1 North America

      2. 5.3.2 Europe

      3. 5.3.3 Asia Pacific

      4. 5.3.4 Latin America

      5. 5.3.5 Middle East and Africa

  6. 6. COMPETITIVE LANDSCAPE

    1. 6.1 Company Profiles

      1. 6.1.1 IBM Corporation

      2. 6.1.2 Broadcom Inc.

      3. 6.1.3 NetApp, Inc.

      4. 6.1.4 Hewlett Packard Enterprise Company

      5. 6.1.5 VMware, Inc.

      6. 6.1.6 BMC Software, Inc.

      7. 6.1.7 Riverbed Technology, Inc.

      8. 6.1.8 Teoco Corporation

      9. 6.1.9 ITRS Group Ltd

      10. 6.1.10 Precisely (Formerly Syncsort)

      11. 6.1.11 Helpsystems

      12. 6.1.12 CPT Global Limited

    2. *List Not Exhaustive
  7. 7. INVESTMENT ANALYSIS

  8. 8. MARKET OPPORTUNITIES AND FUTURE TRENDS

**Subject to Availability

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Frequently Asked Questions

The Capacity Management Analytics Market market is studied from 2020 - 2025.

The Capacity Management Analytics Market is growing at a CAGR of 18% over the next 5 years.

Asia Pacific is growing at the highest CAGR over 2021- 2026.

North America holds highest share in 2019.

IBM Corporation, Broadcom Inc., NetApp, Inc., Hewlett Packard Enterprise Company, VMware, Inc. are the major companies operating in Capacity Management Analytics Market.

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