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IoT 边缘运算

市场调查报告书

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1372605

全球行动边缘运算市场 - 2023-2030

Global Mobile Edge Computing Market - 2023-2030

出版日期: 2023年10月18日 | 出版商:

DataM Intelligence | 英文 199 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

全球行动边缘运算市场在2022年达到6亿美元，预计2030年将达到31亿美元，2023-2030年预测期间复合年增长率为26.3%。

扩增实境、虚拟实境、自动驾驶汽车和物联网设备等应用需要极低的延迟。行动边缘运算透过处理更靠近来源的资料来减少延迟，从而改善使用者体验。 5G 网路的推出提供了行动边缘运算有效运作所需的高频宽和低延迟。行动边缘运算透过实现资料的本地处理来补充 5G，从而减少将资料传输到集中式云端伺服器的需要。

例如，2023 年 9 月 26 日，东南亚最大的电信供应商 Telkomsel 选择 Amazon Web Services 作为其数位转型工作的首选云端供应商。 Telkomsel 将把各种 IT 应用程式迁移到 AWS，包括客户管道、游戏平台、中间件和机器学习。 Telkomsel 在印尼拥有超过 1.53 亿用户，旨在使用 AWS 增强用户体验并更快部署新服务。

亚太地区一直处于5G技术部署的前沿。 5G网路的推出提供了行动边缘运算所需的高频宽和超低延迟。行动边缘运算透过使运算资源更接近网路边缘来补充 5G，从而实现即时和低延迟的应用。处理物联网设备在边缘产生的大量资料需要行动边缘运算。工业、农业和智慧城市等行业正在使用行动边缘运算来实现物联网应用。

动力学

5G应用不断兴起

与前几代相比，5G 提供了更高的频宽。行动边缘运算利用此频宽来处理和交付资料密集型应用程序，例如 4K 视讯串流、云端游戏和大规模物联网部署。行动边缘运算透过根据每个网路切片的特定要求自订边缘运算资源来补充这一点，确保最佳效能。行动边缘运算透过在本地处理敏感资讯来增强安全性和资料隐私，从而最大限度地减少资料在传输到集中式资料中心期间的暴露。

例如，2021 年2 月2 日，新加坡新加坡电信为企业推出了5G 边缘运算基础设施，提供Microsoft Azure Stack 作为选项之一，这使企业能够在更接近最终目标的情况下处理自动开机车辆、无人机器、机器人和混合实境等应用程式-使用者。借助新加坡电信的 5G 网络，这些应用程式可以以低于 10 毫秒的低延迟交付。

采用先进的网路解决方案

行动边缘运算将处理任务从集中式资料中心卸载到边缘伺服器，减少了对核心网路高频宽连线的需求，从而优化了频宽使用并缓解了网路拥塞。行动边缘运算架构具有高度可扩展性，可以有效添加边缘伺服器来满足不断增长的工作负载和用户需求，因为这种可扩展性对于处理不断增加的物联网设备和应用程式数量至关重要。

例如，2023 年2 月21 日，T-Mobile 和Amazon Web Services (AWS) 合作，将T-Mobile 的5G 网路解决方案与AWS 基于云端的服务相结合，此次合作旨在为企业提供更无缝的方式来存取和部署5G边缘运算能力，加速采用并降低成本。此整合产品被称为 AWS 上的整合专用无线，将允许组织针对特定用例客製化解决方案，例如远端工业园区监控、製造中的预测性维护等。

技术进步与创新

人工智慧 (AI) 和机器学习 (ML) 在边缘的整合是行动边缘运算的重要驱动力。边缘人工智慧使各行业的本地决策、预测性维护和智慧自动化成为可能。行动边缘运算可以透过在本地处理敏感资料而不是将其传输到集中式资料中心来增强安全性，这种方法可以减少资料在传输过程中面临潜在威胁的风险。

例如，2023 年 9 月 14 日，总部位于班加罗尔的新创公司 KaleidEO Space Systems 成为第一家在太空展示边缘运算的印度公司，实现了一个重要的里程碑。该公司使用深度学习演算法即时分析由卫星星座提供商 Satellogic 捕获的高解析度卫星图像，这一成就为 KaleidEO 开发具有机载边缘运算功能的卫星铺平了道路，使它们能够捕获和分析图像独立。

有限的资料中心和复杂的伺服器

与集中式资料中心相比，边缘伺服器的处理能力有限。复杂的运算和资源密集型应用程式可能仍需要云端或资料中心资源，从而导致此类任务的延迟。 dge 伺服器在 CPU、记忆体和储存方面的资源有限，这限制了可以在边缘运行的应用程式的类型和大小。

扩展边缘基础设施以适应不断增长的工作负载和用户需求可能非常复杂且成本高昂。它需要部署额外的边缘伺服器并确保与现有网路的无缝整合。管理分散式边缘环境可能比管理集中式资料中心更复杂。它需要边缘伺服器的高效编排、监控和维护。

Applications such as augmented reality, virtual reality, autonomous vehicles and IoT devices require extremely low latency. Mobile edge computing reduces latency by processing data closer to the source, improving the user experience. The rollout of 5G networks provides the high bandwidth and low latency necessary for mobile edge computing to function effectively. Mobile edge computing complements 5G by enabling localized processing of data, reducing the need to transmit data to centralized cloud servers.

For instance, on 26 September 2023, Telkomsel, Southeast Asia's largest telecommunications provider, chose Amazon Web Services as its preferred cloud provider for its digital transformation efforts. Telkomsel will migrate various IT applications to AWS, including customer channels, gaming platforms, middleware and machine learning. With over 153 million subscribers in Indonesia, Telkomsel aims to enhance the user experience and deploy new services more quickly using AWS.

Asia-Pacific has been at the forefront of the deployment of 5G technology. The rollout of 5G networks provides the necessary high bandwidth and ultra-low latency required for mobile edge computing. Mobile edge computing complements 5G by bringing computing resources closer to the network edge, enabling real-time and low-latency applications. Processing the vast quantities of data produced at the edge by IoT devices requires mobile edge computing. Mobile edge computing is being used by sectors like industry, agriculture and smart cities to allow IoT applications.

Dynamics

Rising Application of 5G

5G offers significantly higher bandwidth compared to previous generations. Mobile edge computing leverages this bandwidth to process and deliver data-intensive applications, such as 4K video streaming, cloud gaming and large-scale IoT deployments. Mobile edge computing complements this by tailoring edge computing resources to the specific requirements of each network slice, ensuring optimal performance. Mobile edge computing enhances security and data privacy by processing sensitive information locally and this minimizes the exposure of data during transit to centralized data centers.

For instance, on 2 February 2021, Singapore's Singtel launched 5G edge compute infrastructure for enterprises, offering Microsoft Azure Stack as one of the options and this allows enterprises to process applications such as autonomous guided vehicles, drones, robots and mixed reality closer to their end-users. With Singtel's 5G network, these applications can be delivered with low latency of less than 10 milliseconds.

Adoption of Advanced Network Solutions

Mobile edge computing offloads processing tasks from centralized data centers to edge servers, reducing the need for high-bandwidth connections to the core network and this optimizes bandwidth usage and alleviates network congestion. Mobile edge computing architecture is highly scalable, allowing for the efficient addition of edge servers to accommodate growing workloads and user demands as this scalability is crucial for handling the increasing volume of IoT devices and applications.

For instance, on 21 February 2023, T-Mobile and Amazon Web Services (AWS) partnered to combine T-Mobile's 5G network solutions with AWS cloud-based services and this collaboration aims to provide businesses with a more seamless way to access and deploy 5G edge compute capabilities, accelerating adoption and reducing costs. The integrated offering, known as Integrated Private Wireless on AWS, will allow organizations to customize solutions for specific use cases, such as remote industrial campus monitoring, predictive maintenance in manufacturing and more.

Technology Advancement and Innovations

The integration of artificial intelligence (AI) and machine learning (ML) at the edge is a significant driver of mobile edge computing. Edge AI enables local decision-making, predictive maintenance and intelligent automation in various industries. Mobile edge computing can enhance security by processing sensitive data locally instead of transmitting it to centralized data centers and this approach reduces the exposure of data to potential threats during transit.

For instance, on 14 September 2023, KaleidEO Space Systems, a Bengaluru-based startup, achieved a significant milestone by becoming the first Indian company to demonstrate edge computing in space. The company used deep learning algorithms to analyze high-resolution satellite imagery in real-time, captured by Satellogic, a satellite constellation provider and this achievement paves the way for KaleidEO to develop satellites with onboard edge computing capabilities, allowing them to capture and analyze images independently.

Limited Data Centers and Complex Servers

Edge servers have limited processing capabilities compared to centralized data centers. Complex computations and resource-intensive applications may still require cloud or data center resources, leading to latency for such tasks. dge servers have limited resources in terms of CPU, memory and storage and this restricts the types and sizes of applications that can run at the edge.

Scaling edge infrastructure to accommodate growing workloads and user demands can be complex and costly. It requires deploying additional edge servers and ensuring seamless integration with the existing network. Managing a distributed edge environment can be more complex than managing centralized data centers. It requires efficient orchestration, monitoring and maintenance of edge servers.

Segment Analysis

The global mobile edge computing market is segmented based on component, organization size, application, end-user and region.

Cloud-Native Technologies and Edge Network Deployment Boosts the Market

Mobile edge computing software leverages cloud-native technologies such as containerization and microservices which allows for scalable and flexible deployment of edge applications, making it easier for developers to create and manage mobile edge computing services. Intelligent decision-making in real-time has been rendered feasible by mobile edge computing software, which is essential for applications like autonomous vehicles, smart cities and predictive maintenance.

For instance, on 28 February 2023, 5G Networks and Intel announced a partnership to collaborate on edge network deployments in Australia. The companies plan to leverage Intel's technology, including Intel Xeon Scalable processors and FlexRAN software reference architecture, to enhance 5G Networks' edge computing capabilities and this partnership aims to provide businesses with low-latency, high-performance edge computing solutions for various applications, including IoT, artificial intelligence and more.

Geographical Penetration

Region Actively Deploys 5G Networks

North America has been actively rolling out 5G networks. Mobile edge computing leverages 5G to bring computing resources closer to the network edge, enabling real-time and low-latency services. Many cities in the region are implementing smart city projects, including traffic management, public safety and environmental monitoring whereas mobile edge computing plays a crucial role in enabling these initiatives by processing data at the edge in real-time.

For instance, on 30 December 2022, SK Telecom successfully transmitted terrestrial broadcasting in Washington D.C. using mobile edge computing and virtualization technologies in collaboration with Sinclair Broadcast Group, North America's largest terrestrial broadcast conglomerate. Mobile edge computing technology reduces latency by placing a small data center near a base station, minimizing data transmission distance. The platform enables efficient management of broadcast services for numerous regional stations across North America without requiring specialized equipment.

Competitive Landscape

The major global players in the market include: Advantech Co., Ltd., Johnson Controls International plc, Hewlett Packard Enterprise Development LP, Huawei Technologies Co., Ltd., Juniper Networks, Inc., SAGUNA Network LTD, SMART Global Holdings, Inc., Vapor IO, Inc., Nokia Corporation and Skyvera.

COVID-19 Impact Analysis

The pandemic forced many businesses to accelerate their digital transformation efforts to adapt to remote work and changing customer behavior. Mobile edge computing played a crucial role in enabling low-latency applications and services, such as video conferencing, telemedicine and e-commerce, to meet the increased demand. Mobile edge computing supported the growth of remote work and collaboration tools by reducing latency in video conferencing and virtual collaboration platforms.

Mobile edge computing facilitated the adoption of telemedicine and remote healthcare solutions, enabling real-time monitoring of patients and remote consultations with healthcare professionals and this was critical in managing healthcare services during lockdowns and minimizing the risk of virus transmission. Mobile edge computing combined with edge AI enabled the development of contactless solutions, including touchless payments, temperature screening and social distancing monitoring, to enhance safety in public spaces and businesses.

The pandemic disrupted global supply chains, impacting the availability of hardware components needed for mobile edge computing infrastructure deployment. Delayed equipment deliveries and shortages affected deployment timelines. Economic uncertainties caused budget constraints for some organizations, affecting their ability to invest in mobile edge computing infrastructure and services.

AI Impact

AI algorithms deployed at the edge can process and analyze data in real-time and this enables mobile edge computing to make intelligent decisions locally, reducing the need to transmit data to centralized cloud servers. For example, AI-powered edge devices can detect anomalies, recognize patterns and respond to events without relying on remote data centers. AI inference tasks, such as image recognition, natural language processing and predictive analytics can be performed at the edge.

AI-driven personalization and content recommendations can be delivered at the edge, enhancing user experiences in areas like content streaming, gaming and retail. AI algorithms analyze user behavior and preferences locally, enabling real-time adjustments and content delivery. AI-powered edge devices can identify and respond to security threats in real time. For example, AI algorithms can detect unusual network patterns, intrusions or malware at the edge, preventing potential security breaches before they reach the core network.

For instance, on 13 February 2023, AICRAFT, an Australian artificial intelligence (AI) company, has achieved a milestone by launching its edge computing module named Pulsar into space. The module, deployed as part of the JANUS-1 satellite, is designed to perform ultra-fast processing of space data using AI while consuming minimal power. During ground tests, it demonstrated the ability to classify 1,250 images of Earth Observation data in about 10 seconds.

Russia- Ukraine War Impact

In the global technology supply chain, Ukraine is a major player, particularly in the software development and IT outsourcing sectors. The battle could affect the availability of qualified software engineers and IT specialists, which could have an impact on the creation and upkeep of mobile edge computing systems. Geopolitical tensions and conflicts can lead to uncertainty in international business relationships.

In regions affected by conflict, the stability of critical infrastructure, including data centers and communication networks, may be at risk. Mobile edge computing relies on robust and secure infrastructure, so disruptions in conflict zones could impact mobile edge computing deployments. Geopolitical conflicts can raise concerns about data privacy and security, especially when data is processed at the edge. Organizations may become more cautious about where and how their data is processed, potentially affecting mobile edge computing adoption.

By Component

Software
Hardware
Services

By Organization Size

Large Enterprises
SMEs

By Application

Smart Cities
IoT
Content Delivery
Augmented Reality
Others

By End-User

Manufacturing
Energy and Utilities
Retail and Consumer Goods
Media and Entertainment
Transportation and Logistics
Others

By Region

North America
- U.S.
- Canada
- Mexico

Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe

South America
- Brazil
- Argentina
- Rest of South America

Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific

Middle East and Africa

Key Developments

In September 2021, AT&T, the Official 5G Innovation Partner of the WNBA, collaborated with the league to introduce a new fan experience called "AT&T 5G Game View" and this feature, available within the WNBA app, offers fans a more immersive way to engage with WNBA games.
In September 2022, Nokia is collaborating with Flex Brazil to deploy 5G Standalone (SA) private wireless networks in Flex's manufacturing facilities in Brazil. The partnership aims to explore 5G technology's potential in manufacturing, including reliable connectivity, data transfer and layout flexibility on the shop floor. Nokia's Digital Automation Cloud (Nokia DAC) will provide private wireless on-demand services, along with MX Industrial Edge computing and digital-enabling applications.
In October 2022, Verizon partnered with Reset Digital to pioneer a neuroprogrammatic approach to audience engagement. Reset Digital's Neuroprogrammatic TM advertising platform is a programmatic solution that enables brands to engage omnichannel audiences based on their motivations, allowing for broader and deeper audience reach across all communities, including underrepresented ones.

Why Purchase the Report?

To visualize the global mobile edge computing market segmentation based on component, organization size, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of mobile edge computing market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global mobile edge computing market report would provide approximately 69 tables, 71 figures and 199 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Organization Size
3.3. Snippet by Application
3.4. Snippet by End-User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Rising Application of 5G
  - 4.1.1.2. Adoption of Advanced Network Solutions
  - 4.1.1.3. Technology Advancement and Innovations
- 4.1.2. Restraints
  - 4.1.2.1. Limited Data Centers and Complex Servers
- 4.1.3. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Software*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Hardware
7.4. Services

8. By Organization Size

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 8.1.2. Market Attractiveness Index, By Organization Size
8.2. Large Enterprises*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. SMEs

9. By Application

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.1.2. Market Attractiveness Index, By Application
9.2. Smart Cities*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. IoT
9.4. Content Delivery
9.5. Augmented Reality
9.6. Others

10. By End-User

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.1.2. Market Attractiveness Index, By End-User
10.2. Manufacturing*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Energy and Utilities
10.4. Retail and Consumer Goods
10.5. Media and Entertainment
10.6. Transportation and Logistics
10.7. Others

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.7.1. U.S.
  - 11.2.7.2. Canada
  - 11.2.7.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.7.1. Germany
  - 11.3.7.2. UK
  - 11.3.7.3. France
  - 11.3.7.4. Italy
  - 11.3.7.5. Russia
  - 11.3.7.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.7.1. Brazil
  - 11.4.7.2. Argentina
  - 11.4.7.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.7.1. China
  - 11.5.7.2. India
  - 11.5.7.3. Japan
  - 11.5.7.4. Australia
  - 11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. Advantech Co., Ltd.*
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. Johnson Controls International plc
13.3. Hewlett Packard Enterprise Development LP
13.4. Huawei Technologies Co., Ltd.
13.5. Juniper Networks, Inc.
13.6. SAGUNA Network LTD
13.7. SMART Global Holdings, Inc.
13.8. Vapor IO, Inc.
13.9. Nokia Corporation
13.10. Skyvera

LIST NOT EXHAUSTIVE

14. Appendix

14.1. About Us and Services
14.2. Contact Us

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