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市场调查报告书
商品编码
1953711
机器对机器连结市场-全球产业规模、份额、趋势、机会及预测(依技术、产品、最终用户、地区及竞争格局划分,2021-2031年)Machine to Machine Connections Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Technology, By Product, By End- User, By Region & Competition, 2021-2031F |
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全球机器对机器 (M2M) 连接市场预计将从 2025 年的 428.8 亿美元成长到 2031 年的 671.8 亿美元,复合年增长率达到 7.77%。
此细分市场涵盖了能够透过有线或无线通道在设备间直接交换资料的技术,从而无需人工干预。推动该市场发展的关键因素包括製造业对远端资产监控日益增长的需求,以及公共产业管理对营运效率的提升。此外,医疗保健和汽车基础设施中互联互通的引入,凸显了自动化决策流程和即时数据分析的重要性,也推动了市场成长。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 428.8亿美元 |
| 市场规模:2031年 | 671.8亿美元 |
| 复合年增长率:2026-2031年 | 7.77% |
| 成长最快的细分市场 | 无线信标 |
| 最大的市场 | 北美洲 |
然而,网路隐私和资料安全方面的重大担忧构成了重大挑战,可能会限制这些互联繫统的扩充性。随着工业领域终端数量的增加,保护敏感资讯免受网路威胁的难度已成为其广泛应用的主要障碍。根据GSMA Intelligence的预测,截至2024年,全球物联网(IoT)市场预计在2030年达到387亿连接,凸显了这项技术生态系统未来庞大的发展规模。
5G 和先进蜂窝连接的部署将成为全球机器对机器 (M2M) 连接市场发展的关键催化剂,因为它们能够实现可靠的高容量数据传输。这些技术支援大规模机器对机器通讯 (mMTC),使得在都市区和工业环境中管理高密度联网设备而无需担心延迟问题成为可能。因此,智慧製造和自主物流等依赖即时数据交换的行业正日益依赖这些强大的网路来提高营运效率。根据爱立信于 2024 年 6 月发布的《行动报告》,到 2024 年第一季,全球 5G 用户数量将增加 1.6 亿,超过 17 亿,这表明高效 M2M 通讯所需的基础设施正在迅速普及。
同时,物联网 (IoT) 生态系统的快速扩张正以指数级速度成长需要连接的终端数量。随着各国政府和各产业加大对智慧基础设施的投资,对能够实现设备间直接通讯的蜂巢模组的需求也随之飙升。这一成长的驱动力在于感测器被整合到家用电子电器、交通工具和公共产业电网中,从而建构了一个用于自动化资料交换的综合网路。根据 IoT Now 于 2024 年 9 月援引的官方数据显示,截至 2024 年 7 月底,中国行动物联网设备连接数已达 25.5 亿,併计划到 2027 年达到 36 亿。 5G Americas 的报告也反映了这一全球趋势,指出 2024 年第一季全球物联网用户数已达 33 亿,凸显了不断发展的 M2M 环境的庞大规模。
全球机器对机器 (M2M) 连接市场成熟的一个关键障碍是网路隐私和资料安全面临的日益严峻的威胁。随着各行业向自主生态系统转型,互联终端数量的指数级增长造成了庞大且分散的攻击面。这种复杂性使得企业越来越难以抵御高阶网路威胁,保护专有营运资料。对许多公司而言,资料外洩的风险往往超过了连接带来的即时收益,导致它们在采用可扩展的 M2M 解决方案方面犹豫不决。随着製造资产和关键基础设施的联网,任何一个漏洞都可能造成毁灭性的财务损失和营运瘫痪,从而有效地阻碍市场整合的进程。
近期数据显示,针对连网系统的定向入侵事件频繁,凸显了这项挑战的严峻。根据无线通讯联盟 (WCA) 统计,2024 年 1 月至 5 月,针对物联网装置的安全攻击年增 107%。恶意活动的指数级增长迫使相关人员将大量资金重新分配到防御通讯协定上,而不是用于扩张和创新。因此,这种不稳定性正在削弱投资者信心,并直接阻碍全球互联生态系统的成长动能。
低功率广域网路(LPWAN) 技术的普及化正在从根本上改变连接格局,其重点在于为大规模部署提供广域覆盖和能源效率。与专为高频宽消费应用设计的传统蜂窝标准不同,NB-IoT 和 LTE-M 等 LPWAN 技术旨在实现深度室内穿透和长达十年的电池续航时间,适用于远端工业感测器和公用事业计量表。这种架构转变能够以经济高效的方式连接数百万个先前离线的设备,从而将市场扩展到电力受限和地理位置分散的环境。为了支持这项快速扩张,爱立信于 2025 年 6 月发布的《行动报告》预测,到 2025 年底,全球蜂巢式物联网连接数将达到 45 亿,这主要得益于这些大规模物联网技术的应用。
同时,人工智慧 (AI) 和机器学习 (ML) 在自主运作领域的整合,正推动市场从被动资料撷取转向网路边缘的主动智慧决策。这种融合使机器对机器 (M2M) 系统能够在本地处理海量遥测资料流,从而实现即时运行调整和预测性维护,避免了云端分析带来的延迟。透过将演算法智慧直接嵌入网关和终端,企业可以自动化能源网控制和交通流量优化等复杂流程,从而减少人工干预和营运成本。思科 2025 年网路调查也反映了这个策略重点,调查发现,94% 的高阶 IT 和业务领导者认为,人工智慧、物联网和云端运算是未来两年对其公司网路策略影响最大的技术。
The Global Machine to Machine Connections Market is projected to rise from USD 42.88 Billion in 2025 to USD 67.18 Billion by 2031, achieving a CAGR of 7.77%. This sector encompasses technologies enabling direct data exchange between devices via wired or wireless channels, eliminating the need for human intervention. Primary drivers for this market include the growing necessity for remote asset monitoring in manufacturing industries and the demand for operational efficiency within utility management. Additionally, the incorporation of connectivity into healthcare and automotive infrastructures promotes market growth by highlighting the essential need for automated decision-making processes and real-time data analytics.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 42.88 Billion |
| Market Size 2031 | USD 67.18 Billion |
| CAGR 2026-2031 | 7.77% |
| Fastest Growing Segment | Wireless Beacons |
| Largest Market | North America |
However, significant concerns regarding network privacy and data security pose a major challenge that may limit the scalability of these interconnected systems. As industries add more endpoints, the difficulty of protecting proprietary information from cyber threats emerges as a key barrier to widespread adoption. According to GSMA Intelligence, the global Internet of Things market was forecast in 2024 to grow to 38.7 billion connections by 2030, highlighting the immense future scale of this technological ecosystem.
Market Driver
The rollout of 5G and advanced cellular connectivity serves as a critical catalyst for the Global Machine to Machine Connections Market by facilitating reliable, high-capacity data transmission. These technologies support massive machine-type communications (mMTC), enabling networks to manage high densities of connected devices in urban and industrial settings without latency issues. Consequently, sectors such as smart manufacturing and autonomous logistics, which depend on real-time data exchange, increasingly rely on these robust networks for operational efficiency. According to the June 2024 'Ericsson Mobility Report,' global 5G subscriptions increased by 160 million in the first quarter of 2024 to surpass 1.7 billion, demonstrating the swift adoption of the infrastructure required for effective M2M communication.
Concurrently, the rapid expansion of Internet of Things (IoT) ecosystems is exponentially raising the volume of endpoints that require connectivity. As governments and industries invest in smart infrastructure, the demand for cellular modules facilitating direct device-to-device communication has surged. This growth is driven by the integration of sensors into consumer electronics, transportation fleets, and utility grids, creating a comprehensive network of automated data exchange. Official data cited by IoT Now in September 2024 indicated that mobile IoT terminal connections in China reached 2.55 billion by the end of July 2024, with a target of 3.6 billion by 2027. Mirroring this global trend, 5G Americas reported that worldwide IoT subscriptions reached 3.3 billion during the first quarter of 2024, highlighting the massive scale of the evolving M2M landscape.
Market Challenge
The principal obstacle to the maturation of the Global Machine to Machine (M2M) Connections Market is the intensifying threat to network privacy and data security. As industries shift toward autonomous ecosystems, the exponential growth of interconnected endpoints creates a vast and fragmented attack surface. This complexity makes it increasingly difficult to defend proprietary operational data against sophisticated cyber threats. For many enterprises, the risk of data breaches often outweighs the immediate advantages of connectivity, causing significant hesitation in adopting scalable M2M solutions. When manufacturing assets and critical infrastructure are networked, a single vulnerability can lead to devastating financial losses and operational paralysis, effectively stalling broader market integration.
The gravity of this challenge is highlighted by recent data concerning the frequency of targeted intrusions on connected systems. According to the Wireless Communications Alliance, security attacks on Internet of Things (IoT) devices increased by 107% during the first five months of 2024 compared to the same period in 2023. This sharp rise in malicious activity forces stakeholders to reallocate substantial capital toward defensive protocols rather than expansion and innovation. Consequently, this volatility erodes investor confidence and directly impedes the growth momentum of the global connectivity ecosystem.
Market Trends
The widespread adoption of Low-Power Wide-Area Network (LPWAN) technologies is fundamentally transforming the connectivity landscape by focusing on extended coverage and energy efficiency for massive-scale deployments. Unlike traditional cellular standards designed for high-bandwidth consumer applications, LPWAN variants like NB-IoT and LTE-M are engineered to support deep-indoor penetration and decade-long battery lifecycles for remote industrial sensors and utility meters. This architectural shift enables the cost-effective connection of millions of previously offline assets, extending the market's reach into power-constrained and geographically dispersed environments. Highlighting this rapid expansion, the June 2025 'Ericsson Mobility Report' projected that global cellular IoT connections would reach 4.5 billion by the end of 2025, largely driven by the rollout of these massive IoT technologies.
At the same time, the convergence of Artificial Intelligence and Machine Learning for Autonomous Operations is transitioning the market from passive data collection to active, intelligent decision-making at the network edge. This integration empowers M2M systems to process vast telemetry streams locally, enabling immediate operational adjustments and predictive maintenance without the latency associated with cloud-based analytics. By embedding algorithmic intelligence directly into gateways and endpoints, enterprises can automate complex processes, such as regulating energy grids or optimizing traffic flows, thereby reducing human oversight and operational costs. Reflecting this strategic focus, Cisco's '2025 Networking Research' reported that 94% of senior IT and business leaders identified AI, IoT, and cloud computing as the technologies expected to have the greatest impact on their network strategies over the next two years.
Report Scope
In this report, the Global Machine to Machine Connections Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Machine to Machine Connections Market.
Global Machine to Machine Connections 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: