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市場調査レポート
商品コード
1607659
モバイルエッジコンピューティングの市場規模、シェア、成長分析、コンポーネント別、組織規模別、用途別、地域別 - 産業予測、2024年~2031年Mobile Edge Computing Market Size, Share, Growth Analysis, By Component (Hardware, Software), By Organization size (Large Enterprises, SMEs), By Application, By Region - Industry Forecast 2024-2031 |
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モバイルエッジコンピューティングの市場規模、シェア、成長分析、コンポーネント別、組織規模別、用途別、地域別 - 産業予測、2024年~2031年 |
出版日: 2024年12月06日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3~5営業日
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モバイルエッジコンピューティングの世界市場規模は、2022年に8億米ドルと評価され、2023年の11億2,000万米ドルから2031年には119億2,000万米ドルに成長し、予測期間(2024-2031年)のCAGRは34.3%で成長する見通しです。
マルチアクセス・エッジ・コンピューティングとしても知られるMEC(Multi-access Edge Computing)は、処理能力をネットワークのエッジに移すことでクラウド・コンピューティングを強化し、基地局やセントラル・オフィスでのより効率的な運用を可能にします。このシフトは、クラウドのワークロードをローカルサーバーに再分配することで、モバイルネットワークの混雑を緩和し、待ち時間を短縮することで、ユーザーの体感品質(QoE)を大幅に向上させる。MECは、ドローン検知、ビデオ分析、拡張現実(AR)、マルチプレイヤーゲームなど、さまざまな領域で応用されています。膨大な量のデータを遠隔で処理するため、信頼性の高いデータストレージや通信システムへの依存が高まる中、エッジコンピューティングとビッグデータ分析の相乗効果は、意思決定や競合情報を強化し、さまざまな分野に大きな成長機会をもたらしています。
Global Mobile Edge Computing Market size was valued at USD 0.8 Billion in 2022 and is poised to grow from USD 1.12 billion in 2023 to USD 11.92 billion by 2031, growing at a CAGR of 34.3% in the forecast period (2024-2031).
Mobile Edge Computing (MEC), also known as multi-access edge computing, enhances cloud computing by relocating processing capabilities to the network's edge, enabling more efficient operations at base stations and central offices. This shift significantly boosts the Quality of Experience (QoE) for users by redistributing cloud workloads to local servers, which mitigates mobile network congestion and reduces latency. MEC finds application in various domains such as drone detection, video analysis, augmented reality (AR), and multiplayer gaming, while also proving vital in sectors like mining, energy, and utilities. With industries increasingly relying on reliable data storage and communication systems to process vast amounts of data remotely, the synergy of edge computing and big data analytics presents substantial growth opportunities across diverse sectors, enhancing decision-making and competitive intelligence.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Mobile Edge Computing market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All 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.
Global Mobile Edge Computing Market Segmental Analysis
Global Mobile Edge Computing Market is segmented by Component, by Application, by Organization Size and by Region. Based on Component, the market is segmented into Hardware, and Software. Based on Application, the market is segmented into Location-based Services, Video Surveillance, Unified Communication, Optimized Local Content Distribution, Data Analytics, Environmental Monitoring. Based on Organization Size, the market is segmented Large Enterprises, and Small and Medium-sized Enterprises (SMEs). Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Mobile Edge Computing Market
The growth of the Global Mobile Edge Computing market is significantly driven by the escalating demand for cloud infrastructure and the ongoing development of 5G technology. As intelligent applications proliferate, the need to improve end-user Quality of Experience (QoE) and achieve ultra-low latency becomes paramount. Mobile Edge Computing (MEC) solutions facilitate real-time data processing and analysis, catering to these demands. The advent of 5G technology has unlocked novel opportunities for the MEC sector, enabling the rapid transfer of vast amounts of data from billions of connected devices. This dynamic environment promotes the adoption of smart devices while enhancing digital experiences, performance, and data security across diverse industries. Consequently, the synergy of 5G and edge computing is poised to fuel the mobile edge computing market in the coming years, supported by the introduction of innovative languages and frameworks for Internet of Things (IoT) solutions.
Restraints in the Global Mobile Edge Computing Market
The Global Mobile Edge Computing market faces significant restraints due to high maintenance costs and a shortage of skilled professionals. As mobile edge computing necessitates additional local hardware, the anticipated growth of the market may be stifled by escalating upkeep expenses. Despite being generally secure, edge computing systems require continuous updates and monitoring to defend against the increasing frequency of sophisticated cyber threats. MEC nodes and crucial 5G services are particularly vulnerable to severe Distributed Denial-of-Service (DDoS) attacks, which may evade detection in centralized data centers. Furthermore, the existing scarcity of qualified personnel to navigate these intricate technologies, coupled with insufficient infrastructure and deployment capabilities, poses additional challenges to market expansion.
Market Trends of the Global Mobile Edge Computing Market
The Global Mobile Edge Computing market is poised for significant growth, driven by the increasing demand for immersive augmented reality (AR) and virtual reality (VR) applications that require ultra-low latency and high bandwidth. As MEC technology evolves alongside the rollout of 5G networks, the integration of real-time data exchange in AR/VR experiences is becoming more prevalent, particularly in entertainment, education, and training sectors. Venues are leveraging MEC to enhance live events, allowing audiences to engage more deeply through enhanced video streams. This trend highlights a shift towards mobile-centric computing solutions that cater to the processing needs of increasingly sophisticated applications, paving the way for expansive market opportunities.