커패시티 관리 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 컴포넌트별, 조직 규모별, 업종별, 지역별, 경쟁별(2020-2030년)
Capacity Management Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Component, By Organization Size, By Vertical, By Region & Competition, 2020-2030F
상품코드 : 1692326
리서치사 : TechSci Research
발행일 : 2025년 03월
페이지 정보 : 영문 186 Pages
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한글목차

세계의 커패시티 관리 시장 규모는 2024년에 16억 8,000만 달러로, 예측 기간 중 CAGR은 18.23%로 2030년에는 46억 3,000만 달러에 달할 것으로 예측됩니다. 빅데이터 및 분석의 부상, 디지털 혁신에 대한 노력, 규제 준수에 대한 압박도 시장 성장을 가속하고 있습니다. 기업은 자원 활용을 최적화하고 비용을 절감하며 서비스 수준을 보장하기 위해 용량 관리 솔루션을 찾고 있습니다. 가상화 및 하이브리드 클라우드 시스템으로 인해 IT 환경이 복잡해짐에 따라 용량 관리는 성능, 확장성, 리스크 관리를 유지하는 데 필수적인 요소로 자리 잡으며 시장 수요를 더욱 촉진하고 있습니다.

시장 개요
예측 기간 2026-2030년
시장 규모 : 2024년 16억 8,000만 달러
시장 규모 : 2030년 46억 3,000만 달러
CAGR: 2025-2030년 18.23%
급성장 부문 솔루션
최대 시장 북미

주요 시장 성장 촉진요인

클라우드 컴퓨팅 도입 확대와 업무 효율화에 대한 수요 증가

주요 시장 이슈

최신 IT 환경의 복잡성 및 통합의 어려움

주요 시장 동향

용량 관리 분야에서 AI와 머신러닝의 부상

목차

제1장 개요

제2장 조사 방법

제3장 개요

제4장 COVID-19가 세계의 커패시티 관리 시장에 미치는 영향

제5장 고객의 소리

제6장 세계의 커패시티 관리 시장 개요

제7장 세계의 커패시티 관리 시장 전망

제8장 북미의 커패시티 관리 시장 전망

제9장 유럽의 커패시티 관리 시장 전망

제10장 남미의 커패시티 관리 시장 전망

제11장 중동 및 아프리카의 커패시티 관리 시장 전망

제12장 아시아태평양의 커패시티 관리 시장 전망

제13장 시장 역학

제14장 시장 동향과 발전

제15장 기업 개요

제16장 전략적 제안

제17장 조사회사 소개·면책사항

KSA
영문 목차

영문목차

Global Capacity Management Market was valued at USD 1.68 billion in 2024 and is expected to reach USD 4.63 billion by 2030 with a CAGR of 18.23% during the forecast period. The rise of big data and analytics, digital transformation initiatives, and regulatory compliance pressures also fuel market growth. Organizations seek capacity management solutions to optimize resource utilization, reduce costs, and ensure service levels. As IT environments become more complex with virtualized and hybrid cloud systems, capacity management becomes essential for maintaining performance, scalability, and risk management, further driving market demand.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 1.68 Billion
Market Size 2030USD 4.63 Billion
CAGR 2025-203018.23%
Fastest Growing SegmentSolutions
Largest MarketNorth America

Key Market Drivers

Increasing Adoption of Cloud Computing and the Need for Operational Efficiency

The rapid adoption of cloud computing has revolutionized the way businesses manage their IT infrastructure. As organizations transition from traditional on-premises data centers to cloud-based environments, the need for efficient capacity management has become paramount. Cloud computing offers flexibility, scalability, and cost-efficiency, but it also presents challenges in resource allocation, cost control, and performance optimization. Capacity management tools help businesses monitor, analyze, and optimize their cloud resources, ensuring they are neither over-provisioned, which leads to unnecessary costs, nor under-provisioned, which can result in performance issues and service disruptions.

In a cloud environment, resources such as computing power, storage, and network bandwidth are allocated dynamically based on demand. However, without proper capacity management, organizations risk either overpaying for unused resources or facing service degradation due to insufficient capacity. Cloud service providers offer a range of options for scaling resources, but organizations must carefully manage these to align with their specific needs and budget constraints. Capacity management solutions provide real-time insights into resource utilization, enabling businesses to make informed decisions about scaling, optimizing costs, and maintaining the desired level of performance. As businesses increasingly rely on cloud infrastructure to support their operations, the demand for robust capacity management solutions is expected to grow, driving market expansion.

Key Market Challenges

Complexity of Modern IT Environments and Integration Difficulties

One of the most significant challenges facing the global capacity management market is the growing complexity of modern IT environments. With the advent of cloud computing, virtualization, hybrid cloud architectures, and the Internet of Things (IoT), organizations now manage increasingly intricate and heterogeneous IT ecosystems. These environments consist of a diverse mix of on-premises data centers, public and private cloud services, virtualized servers, and a multitude of connected devices. Each of these components has its own capacity requirements, resource allocation strategies, and performance metrics, making it difficult for organizations to maintain a cohesive and efficient capacity management strategy.

Integrating capacity management solutions across such a complex landscape can be a daunting task. Legacy systems may not be compatible with newer technologies, and integrating disparate tools from multiple vendors can lead to inefficiencies and increased costs. Moreover, different departments within an organization may use different tools and methodologies for capacity management, leading to a lack of standardization and coordination. This fragmentation can result in resource misallocation, where some areas of the IT environment are over-provisioned while others are under-resourced, leading to performance issues and wasted expenditures.

Key Market Trends

Rise of AI and Machine Learning in Capacity Management

One of the most prominent trends in the global capacity management market is the increasing integration of artificial intelligence (AI) and machine learning (ML) technologies into capacity management solutions. As IT environments become more complex and data-driven, traditional methods of capacity planning and resource management are proving inadequate. AI and ML technologies offer the ability to analyze vast amounts of data, identify patterns, and make predictive decisions in real-time, making them invaluable tools for capacity management. These technologies can automatically adjust resource allocation based on current and forecasted demand, ensuring optimal performance and cost-efficiency.

AI-driven capacity management solutions can also help organizations better anticipate and respond to fluctuations in demand. For example, in cloud environments, AI algorithms can predict when additional resources will be needed based on historical usage patterns, seasonal trends, and other factors. This proactive approach allows organizations to scale resources dynamically, avoiding the pitfalls of both over-provisioning and under-provisioning. Furthermore, AI and ML can provide insights into potential system bottlenecks or inefficiencies before they impact performance, enabling IT teams to take preventive action.

Key Market Players

Report Scope:

In this report, the Global Capacity Management Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Capacity Management Market, By Component:

Capacity Management Market, By Organization Size:

Capacity Management Market, By Vertical:

Capacity Management Market, By Region:

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Capacity Management Market.

Available Customizations:

Global Capacity Management Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Table of Contents

1. Service Overview

2. Research Methodology

3. Executive Summary

4. Impact of COVID-19 on Global Capacity Management Market

5. Voice of Customer

6. Global Capacity Management Market Overview

7. Global Capacity Management Market Outlook

8. North America Capacity Management Market Outlook

9. Europe Capacity Management Market Outlook

10. South America Capacity Management Market Outlook

11. Middle East & Africa Capacity Management Market Outlook

12. Asia-Pacific Capacity Management Market Outlook

13. Market Dynamics

14. Market Trends and Developments

15. Company Profiles

16. Strategic Recommendations

17. About Us & Disclaimer

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