机器对机器 (M2M) 连接市场（按组件、连接类型、技术、应用和最终用户行业）—2025-2030 年全球预测

预计 2024 年机器对机器 (M2M) 连接市场价值将达到 31.2 亿美元，到 2025 年将成长至 35 亿美元，复合年增长率为 12.32%，到 2030 年将达到 62.8 亿美元。

主要市场统计数据
基准年2024年	31.2亿美元
预计2025年	35亿美元
预测年份 2030	62.8亿美元
复合年增长率（%）	12.32%

探索正在塑造当今全球各行各业的 M2M 连结的变革潜力和策略重要性。

对于寻求提升营运效率和即时决策能力的企业而言，机器对机器 (M2M) 连接已成为数位转型之旅的基础支柱。这种自主资料交换使设备能够在无人干预的情况下通讯、协调和执行任务，从而将生产车间、物流网路和关键基础设施的自动化提升到新的水平。

新技术和不断发展的使用案例加速了机器对机器 (M2M) 的集成，带来了将重新定义连接范式的巨大转变

由于技术突破和企业优先顺序的转变，机器对机器 (M2M) 领域正在经历重大变革。 5G 等尖端无线标准实现了超低延迟和海量设备密度，为自动驾驶汽车、远端手术和智慧电网管理等高级使用案例提供支援。同时，低功耗广域网路技术满足了节能远距通讯的需求，为偏远地区的环境监测和资产追踪开闢了新的途径。

探索 2025 年美国关税将如何重塑机器对机器 (M2M) 连接的供应链和经济动态

在地缘政治紧张局势不断升级和贸易政策调整的背景下，美国新关税的实施给机器对机器 (M2M) 价值链带来了巨大压力。对进口硬体组件和通讯模组征收的关税增加了目标商标产品製造商的投入成本，迫使其重新评估采购模式。为了缓解净利率的下滑，一些供应商已启动多元化策略，在关税管辖区以外建立二级製造地，或透过谈判签订长期供应协议来锁定有利价格。

详细了解推动机器对机器 (M2M) 网路策略的组件、连接类型、技术、应用和最终用户产业

随着企业在不断扩展的机器对机器 (M2M) 网路领域中探索，细緻的细分提供了一个结构化的视角，有助于识别个别业务机会和挑战。审视元件格局，可以发现硬体元素——致动器、网关、模组、路由器、感测器等等——是资料收集和执行的有形介面。託管服务和专业服务对这些实体资产进行了补充，确保部署、维护和优化生命週期以专家级的精准度执行。同时，中介软体解决方案和平台技术可以大规模编配设备连接、资料处理工作流程和系统整合。

对美洲、欧洲、中东和非洲以及亚太地区的区域分析，重点是 M2M 连接的独特成长动力和采用趋势

分析机器对机器 (M2M) 领域的区域动态，可以揭示技术创新、法律规范和基础设施发展的模式。在美洲，对下一代行动电话网路的重要投资以及强大的官民合作关係正在推动农业、石油天然气和智慧城市计划等领域的广泛 M2M 部署。在北美，广泛的光纤回程传输和不断增加的边缘运算节点进一步支援了低延迟、关键任务应用的部署，而拉丁美洲市场正在采用无线资产跟踪，以提高全部区域供应链的可视性。

了解领先的技术供应商如何开拓创新、伙伴关係并打造差异化解决方案，以在 M2M 生态系统中获得竞争优势。

在快速发展的 M2M 生态系统中，主要的市场参与企业包括网路营运商、硬体供应商、平台开发商和整合商，各自都在追求差异化的价值路径。网路营运商正在与连接管理平台供应商建立策略联盟，以提供涵盖 SIM 卡管理、数据分析和网路安全安全功能的综合服务包。此类联盟为最终用户提供了采购整合解决方案的单一联络点，从而降低了复杂性并加快了产品上市时间。

我们为产业领导者提供策略和技术建议，以加速 M2M 的采用、优化绩效并降低风险。

采用可扩展的模组化架构应是任何 M2M 策略的基石。优先考虑支援增量成长的解决方案，使企业能够满足不断变化的需求，而无需承担高昂的重新设计成本。支援无线更新和动态配置的技术，能够随着使用案例的成熟而进一步实现持续扩展和调整。

获得研究途径、资料来源和分析框架的透明度，以支持市场洞察，从而在 M2M 连接方面做出稳健的决策

本执行摘要所依据的研究采用了严谨、多维度的方法，以确保全面覆盖和资料完整性。研究过程始于深入的二手资料研究，分析公开的白皮书、技术标准文件、监管文件和学术出版物，以深入了解市场趋势、技术发展轨迹和政策影响。

概述决定各产业 M2M倡议成功的关键见解、策略必要事项和未来展望

当我们将技术进步、贸易政策动态和細項分析的见解结合起来时，就会出现一个清晰的故事：高速无线基础设施、边缘运算和进阶分析的整合正在为各个行业创造新的营运效率和经营模式。

目录

第一章：前言

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章市场动态

• 将人工智慧驱动的边缘运算快速整合到工业 M2M 网路中，以实现即时决策
• 扩展窄频联网部署，实现跨城市的低功耗、远距M2M 连接
• 使用机器学习分析 M2M 资料流的预测性维护解决方案的传播
• 保护 M2M 连线免受进阶威胁的端对端网路安全框架变得越来越重要
• 采用基于卫星的物联网连接，在偏远和服务不足的地区建立 M2M通讯桥樑
• 数位数位双胞胎平台的出现，将实体资产与 M2M 感测器网路同步以进行模拟
• 可互通的 M2M通讯协定的标准化，以促进跨行业的无缝设备到设备通讯
• 引入能源采集感测器来优化大规模 M2M 生态系统的电源效率
• 5G 架构中的网路切片将实现客製化的 M2M 服务等级协定
• 整合区块链以实现分散式 M2M 系统中安全透明的交易日誌

第六章 市场洞察

• 波特五力分析
• PESTEL分析

第七章 2025年美国关税的累积影响

8. 机器对机器 (M2M) 连接市场（按组件）

• 硬体
  • 致动器
  • 闸道
  • 模组
  • 路由器
  • 感应器
• 服务
  • 託管服务
  • 专业服务
• 软体
  • 中介软体
  • 平台

9. 机器对机器 (M2M) 连接市场（依连接类型）

• 有线 M2M 连接
• 无线 M2M 连接

第 10 章 机器对机器 (M2M) 连结市场（按技术）

• 蜂巢
  • 2G/3G
  • 4G
  • 5G
• LPWAN
• RFID

第 11 章。按应用分類的机器对机器 (M2M) 连接市场

• 资产追踪
• 卫生保健
• 智慧城市
• 智慧製造
• 智慧电錶
• 行车遥测

第 12 章：以最终用户产业分類的机器对机器 (M2M) 连接市场

• 车
• 能源与公共产业
• 卫生保健
• 製造业
• 零售
• 运输/物流

13.美洲机器对机器（M2M）连接市场

• 美国
• 加拿大
• 墨西哥
• 巴西
• 阿根廷

第 14 章欧洲、中东和非洲机器对机器 (M2M) 连结市场

• 英国
• 德国
• 法国
• 俄罗斯
• 义大利
• 西班牙
• 阿拉伯聯合大公国
• 沙乌地阿拉伯
• 南非
• 丹麦
• 荷兰
• 卡达
• 芬兰
• 瑞典
• 奈及利亚
• 埃及
• 土耳其
• 以色列
• 挪威
• 波兰
• 瑞士

第 15 章亚太机器对机器 (M2M) 连接市场

• 中国
• 印度
• 日本
• 澳洲
• 韩国
• 印尼
• 泰国
• 菲律宾
• 马来西亚
• 新加坡
• 越南
• 台湾

第十六章竞争格局

• 2024年市场占有率分析
• 2024年FPNV定位矩阵
• 竞争分析
  • AT&T Inc.
  • Cisco Systems, Inc.
  • Aeris communication. Inc.
  • BSIMPLIFY
  • China Telecom Corporation Limited
  • Duetsche Telecom AG
  • Huawei Technologies Co., Ltd.
  • Intel Corporation
  • Lantronix, Inc.
  • Microsoft Corporation
  • Multi-Tech Systems, Inc.
  • Murata Manufacturing Co., Ltd.
  • NTT Communications Corporation
  • Orange SA
  • Qualcomm Technologies, Inc.
  • Semtech Corporation
  • Sensorise Smart Solutions Pvt. Ltd.
  • Telefonaktiebolaget LM Ericsson
  • Telefonica SA
  • Telenor Group
  • Thales Group
  • u-blox AG
  • Verizon Communications, Inc.
  • Vodafone Group PLC
  • ZTE Corp.

第十七章 研究人工智慧

第十八章 研究统计

第十九章 研究联络人

第二十章 研究报导

第21章 附录

The Machine-to-Machine Connections Market was valued at USD 3.12 billion in 2024 and is projected to grow to USD 3.50 billion in 2025, with a CAGR of 12.32%, reaching USD 6.28 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024]	USD 3.12 billion
Estimated Year [2025]	USD 3.50 billion
Forecast Year [2030]	USD 6.28 billion
CAGR (%)	12.32%

Discover the transformative potential and strategic imperatives of machine-to-machine connections shaping industries across the globe today

Machine-to-machine (M2M) connections have emerged as a foundational pillar in the digital transformation journeys of enterprises seeking enhanced operational efficiency and real-time decision-making capabilities. These autonomous data exchanges enable devices to communicate, coordinate, and execute tasks without human intervention, unlocking new levels of automation across manufacturing floors, logistics networks, and critical infrastructure.

As the proliferation of sensors, actuators, and communication modules intensifies, businesses are rapidly embracing M2M architectures to streamline processes and reduce latency in data transmission pipelines. In the broader context of the Internet of Things ecosystem, M2M connections serve as the backbone that transforms isolated devices into integrated digital assets. For instance, in smart manufacturing environments, equipment fitted with advanced sensors communicates performance metrics to centralized monitoring systems, enabling proactive maintenance and minimizing unplanned downtime.

Moreover, the convergence of M2M with cloud computing and edge analytics has further accelerated its adoption. By distributing intelligence closer to the edge, organizations can process high-velocity data streams locally, minimize bandwidth consumption, and enforce security policies at the device level. This hybrid approach bridges the gap between centralized management and decentralized execution, empowering stakeholders to make informed decisions based on timely insights. These real-world applications demonstrate the tangible benefits of M2M deployments, from improved asset utilization to enhanced customer experiences.

Furthermore, the maturation of wireless technologies and the emergence of low-power wide-area networks have lowered barriers to entry, making it economically viable for industries of all scales to deploy sensor networks. As regulatory frameworks evolve to support spectrum allocation and cybersecurity guidelines, enterprises are gaining increased confidence in rolling out large-scale M2M initiatives. Looking forward, the fusion of M2M with machine learning and digital twin models promises to redefine predictive analytics, enabling digital representations of physical assets to autonomously self-optimize based on streaming telemetry. Collectively, these developments underscore the transformative potential of machine-to-machine connections as the bedrock for future intelligent infrastructures.

Uncover the seismic shifts redefining connectivity paradigms as emerging technologies and evolving use cases accelerate machine-to-machine integration

The machine-to-machine landscape is undergoing a profound evolution driven by technological breakthroughs and shifting enterprise priorities. Cutting-edge wireless standards such as 5G are enabling ultra-low latency and massive device densities, catalyzing advanced use cases in autonomous vehicles, remote surgery, and intelligent grid management. Simultaneously, low-power wide-area network technologies are addressing the demand for energy-efficient, long-range communications, opening new avenues for environmental monitoring and asset tracking in remote locations.

In addition to connectivity innovations, the growing emphasis on edge computing is redefining network architectures. By embedding intelligence at the point of data generation, organizations can perform real-time analytics and apply rule-based actions without relying solely on cloud infrastructure. This shift not only reduces congestion in backhaul networks but also enhances resilience by enabling localized operations during connectivity interruptions. Moreover, the proliferation of open standards and interoperable platforms is fostering a collaborative ecosystem where device manufacturers, network operators, and application developers can jointly accelerate time-to-market.

Beyond technological drivers, end-user industries are demanding more integrated and secure solutions. Heightened awareness of cybersecurity risks has prompted the adoption of zero-trust frameworks and hardware-rooted security modules embedded within connected devices. Coupled with the rise of artificial intelligence-driven anomaly detection, these measures are setting new benchmarks for operational integrity. Ultimately, the confluence of these transformative shifts heralds a new era in which machine-to-machine connections will underpin agile, intelligent, and secure infrastructures

Explore how the 2025 United States tariff implementations are reshaping supply chains and economic dynamics for machine-to-machine connectivity

As geopolitical tensions and trade policy recalibrations unfold, the introduction of new tariff measures in the United States has exerted significant pressure on machine-to-machine value chains. Tariffs imposed on imported hardware components and communication modules have driven up input costs for original equipment manufacturers, compelling strategic reevaluations of sourcing models. To mitigate margin erosion, some suppliers have initiated diversification strategies, establishing secondary manufacturing hubs outside the tariff jurisdiction or negotiating long-term supply contracts to lock in favorable pricing.

Concurrently, the increased cost base has incentivized businesses to redesign product architectures with a focus on modularity and component reuse. By standardizing hardware interfaces and leveraging multi-sourcing arrangements, companies can maintain flexibility and absorb tariff fluctuations more effectively. Furthermore, system integrators are exploring partnerships with domestic suppliers to circumvent import duties, contributing to the resurgence of localized production ecosystems. While these developments introduce complexity in procurement workflows, they also foster resilience by reducing dependence on single-source suppliers.

In parallel, companies are reassessing their total cost of ownership models to account for indirect expenses such as extended lead times and expedited shipping premiums. Organizations that adopt advanced planning tools and real-time visibility platforms are better positioned to anticipate tariff-induced disruptions and adjust inventory buffers proactively. Overall, the cumulative impact of the 2025 tariff landscape underscores the need for agile supply chain strategies and collaborative innovation to ensure that machine-to-machine initiatives remain economically viable amidst evolving trade environments

Dive into detailed component, connectivity type, technology, application, and end-user industry perspectives driving strategies in machine-to-machine networks

As enterprises navigate the expanding domain of machine-to-machine networks, nuanced segmentation provides a structured lens to identify tailored opportunities and challenges. When examining the component landscape, hardware elements such as actuators, gateways, modules, routers, and sensors emerge as the tangible interfaces for data collection and actuation. Complementing these physical assets, managed services and professional services ensure that deployment, maintenance, and optimization lifecycles are executed with expert precision. Simultaneously, middleware solutions and platform technologies orchestrate device connectivity, data processing workflows, and system integrations at scale.

Connectivity type further delineates deployment scenarios into wired and wireless embodiments. Wired architectures are prized for their deterministic performance and immunity to radio interference, making them indispensable in industrial control environments. Conversely, wireless M2M connections unlock mobility and simplified installation for asset-tracking applications, field instrumentation, and temporary monitoring deployments. Underpinning these modalities, a spectrum of access technologies-including legacy cellular (2G/3G), advanced cellular (4G), cutting-edge 5G, low-power wide-area networks, and RFID solutions-cater to diverse requirements around bandwidth, range, power consumption, and network density.

From an application standpoint, use cases ranging from asset tracking and healthcare monitoring to smart city infrastructure, smart manufacturing processes, advanced metering, and vehicle telemetry illustrate the breadth of M2M utility. These implementations resonate across various end-user verticals; automotive manufacturers leverage real-time telematics to optimize fleet operations, energy and utilities providers deploy remote monitoring for grid assets, healthcare institutions integrate patient-wearables for proactive care, manufacturing entities embed sensor networks for process automation, retailers adopt connected point-of-sale systems for inventory insights, and logistics firms utilize telematics to enhance cargo security. By synthesizing these segmentation perspectives, stakeholders can craft finely tuned strategies that align with specific operational objectives

Analyze the regional dynamics across Americas, EMEA, and Asia-Pacific regions unveiling distinctive growth drivers and deployment trends for M2M connections

Regional dynamics in the machine-to-machine sphere reveal distinct patterns of innovation, regulatory frameworks, and infrastructure readiness. In the Americas, integral investments in next-generation cellular networks and robust public-private partnerships have propelled widespread M2M deployments in sectors such as agriculture, oil and gas, and smart city initiatives. North America's extensive fiber backhaul and growing edge compute nodes have further supported the rollout of low-latency, mission-critical applications, while Latin American markets are increasingly embracing wireless asset tracking to enhance supply chain visibility across dispersed geographies.

Europe, the Middle East, and Africa present a mosaic of regulatory landscapes and market maturities. In Western Europe, harmonized spectrum policies and comprehensive cybersecurity mandates have fostered interoperability and trust in machine-to-machine solutions. Central and Eastern European economies are capitalizing on cost-efficient LPWAN networks to monitor utilities infrastructure, whereas Middle Eastern smart city projects are integrating connected sensors into urban planning to optimize resource consumption. Meanwhile, Africa's connectivity agenda is being shaped by a blend of satellite backhaul, private LTE networks, and innovative financing models that address rural electrification and healthcare access through remote monitoring.

In the Asia-Pacific region, rapid urbanization and industry transformation are driving unprecedented demand for connected systems. East Asian economies are spearheading the adoption of 5G-enabled M2M use cases in robotics, autonomous mobility, and high-precision manufacturing. Southeast Asian markets are experimenting with scalable sensor networks to address environmental monitoring and smart logistics challenges, supported by regional harmonization efforts on spectrum allocation. Collectively, these regional trajectories underscore the importance of localized strategies that align with infrastructure maturity, policy orientation, and vertical-specific needs within the global M2M ecosystem

Learn how leading technology providers are pioneering innovations, partnerships, and differentiated solutions to gain a competitive edge in M2M ecosystems

In the rapidly evolving machine-to-machine ecosystem, key market participants span network operators, hardware suppliers, platform developers, and integrators, each pursuing differentiated pathways to capture value. Network operators are forging strategic alliances with connectivity management platform providers to offer holistic services bundles that encompass SIM management, data analytics, and cybersecurity features. These collaborations enable end users to procure integrated solutions through single points of contact, reducing complexity and accelerating time-to-market.

Concurrently, hardware manufacturers continue to invest in the development of modular components-ranging from low-power sensors and multi-protocol gateways to edge compute modules-that simplify device integration and future-proof deployments. By incorporating secure elements and firmware-over-the-air update capabilities, these suppliers are addressing growing demands for device-level security and lifecycle management. On the software front, middleware vendors are differentiating through enhanced API ecosystems, low-code development environments, and analytics-driven dashboards that translate raw telemetry into actionable insights.

Systems integrators and professional services firms remain pivotal in customizing M2M deployments for vertical-specific requirements. These players leverage deep domain expertise to design end-to-end solutions that integrate field devices, network connectivity, and enterprise applications, ensuring seamless interoperability and compliance with industry standards. As partnerships and M&A activities intensify, leading firms are expanding their footprints across adjacent domains such as edge AI and digital twin platforms, thereby cementing their positions in the value chain and driving innovation in machine-to-machine connectivity

Empower industry leaders with strategic and technological recommendations to accelerate adoption, optimize performance, and mitigate risks in M2M deployments

Adopting scalable and modular architectures should be the cornerstone of any machine-to-machine strategy. By prioritizing solutions that allow for incremental expansion, enterprises can accommodate evolving requirements without incurring prohibitive reengineering costs. Technologies that support over-the-air updates and dynamic provisioning further enable continuous enhancement and adaptation as use cases mature.

Interoperability must remain a central focus to avoid fragmentation risks. Organizations are advised to select platforms and devices that comply with open standards and support multi-vendor integration. Such an approach not only safeguards against vendor lock-in but also fosters a competitive supplier ecosystem where differentiated capabilities can be seamlessly aggregated.

Security should be embedded from inception rather than treated as an afterthought. Employing hardware-rooted trust anchors, enforcing zero-trust network principles, and integrating AI-driven threat detection will fortify M2M deployments against emerging cyber risks. Regular security assessments and patching protocols are essential to maintain a robust defense posture.

Supply chain agility is critical in light of evolving trade policies and tariff regimes. Enterprises are encouraged to diversify their supplier base, cultivate strategic partnerships across geographies, and invest in real-time visibility tools that track component movements. Such measures will mitigate the impact of cost fluctuations and logistical disruptions.

Finally, upskilling internal talent and collaborating with ecosystem partners can bridge knowledge gaps. Establishing multidisciplinary teams that encompass networking, data science, and domain-specific expertise will ensure that M2M initiatives achieve their intended operational and financial outcomes

Gain transparency into research approaches, data sources, and analytical frameworks underpinning market insights for robust decision-making in M2M connectivity

The research underpinning this executive summary employed a rigorous, multi-faceted approach designed to ensure comprehensive coverage and data integrity. The process began with an exhaustive secondary research phase, wherein publicly available white papers, technical standards documentation, regulatory filings, and academic publications were analyzed. This served to establish a foundational understanding of market trends, technological trajectories, and policy influences.

Complementing this desk research, primary qualitative interviews were conducted with domain experts spanning network operators, hardware vendors, software developers, and end-user organizations. These interviews provided firsthand perspectives on deployment challenges, strategic priorities, and emerging innovation pathways. Insights from these conversations were triangulated against secondary data points to validate key findings and uncover nuanced dynamics.

Quantitative data was integrated through the analysis of proprietary databases featuring device shipment statistics, connectivity activation volumes, and service-level metrics. Advanced analytical frameworks were applied to synthesize this information, identifying underlying patterns and correlation structures. In parallel, scenario-based modeling was employed to assess the potential impacts of variables such as tariff shifts and technology rollouts on supply chain configurations.

Finally, a thorough peer review was conducted to ensure methodological transparency and intellectual rigor. The resulting insights reflect a balanced synthesis of qualitative depth and quantitative breadth, offering decision-makers a reliable basis for strategic planning in the machine-to-machine connectivity domain

Summarize the critical findings, strategic imperatives, and future outlook that will define success in machine-to-machine initiatives across industries

In synthesizing the insights from technological advancements, trade policy dynamics, and segmentation analyses, a clear narrative emerges: machine-to-machine connectivity has evolved from a niche capability into a strategic imperative. The convergence of high-speed wireless infrastructures, edge computing, and sophisticated analytics is unlocking new operational efficiencies and business models across a spectrum of industries.

The 2025 tariff adjustments underscore the critical importance of resilient supply chain strategies and flexible architecture designs. Organizations that proactively diversify sourcing, adopt modular hardware platforms, and leverage digital tools for real-time visibility will be best positioned to weather policy-induced cost fluctuations. At the same time, the maturation of low-power network protocols and the rollout of 5G are accelerating the deployment of complex use cases-ranging from autonomous mobility to smart grid operations-where deterministic performance and security are paramount.

By aligning segmentation insights with regional and vertical-specific demands, enterprises can craft tailored approaches that maximize ROI while mitigating operational risks. The role of system integrators, platform providers, and ecosystem partners will continue to expand as deployment complexity grows, making strategic collaboration a key success factor. Ultimately, the recommendations presented herein offer a roadmap for industry leaders to harness the full potential of machine-to-machine connections and secure a competitive advantage in an increasingly connected world

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

• 4.1. Introduction
• 4.2. Market Sizing & Forecasting

5. Market Dynamics

• 5.1. Rapid integration of AI-driven edge computing in industrial M2M networks for real-time decision making
• 5.2. Expansion of narrowband IoT deployments enabling low-power long-range M2M connectivity across cities
• 5.3. Proliferation of predictive maintenance solutions leveraging machine learning analytics on M2M data streams
• 5.4. Growing emphasis on end-to-end cybersecurity frameworks protecting M2M connections from sophisticated threats
• 5.5. Adoption of satellite-based IoT connectivity bridging M2M communications in remote and underserved regions
• 5.6. Emergence of digital twin platforms synchronizing physical assets with M2M sensor networks for simulation
• 5.7. Standardization of interoperable M2M protocols driving seamless device-to-device communication across industries
• 5.8. Deployment of energy harvesting sensors optimizing power efficiency in large-scale M2M ecosystems
• 5.9. Shift towards network slicing in 5G architectures enabling customized M2M service level agreements
• 5.10. Integration of blockchain for secure and transparent transaction logging in distributed M2M systems

6. Market Insights

• 6.1. Porter's Five Forces Analysis
• 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Machine-to-Machine Connections Market, by Component

• 8.1. Introduction
• 8.2. Hardware
  • 8.2.1. Actuators
  • 8.2.2. Gateways
  • 8.2.3. Modules
  • 8.2.4. Routers
  • 8.2.5. Sensors
• 8.3. Services
  • 8.3.1. Managed Services
  • 8.3.2. Professional Services
• 8.4. Software
  • 8.4.1. Middleware
  • 8.4.2. Platforms

9. Machine-to-Machine Connections Market, by Connectivity Type

• 9.1. Introduction
• 9.2. Wired M2M Connections
• 9.3. Wireless M2M Connections

10. Machine-to-Machine Connections Market, by Technology

• 10.1. Introduction
• 10.2. Cellular
  • 10.2.1. 2G/3G
  • 10.2.2. 4G
  • 10.2.3. 5G
• 10.3. LPWAN
• 10.4. RFID

11. Machine-to-Machine Connections Market, by Application

• 11.1. Introduction
• 11.2. Asset Tracking
• 11.3. Healthcare
• 11.4. Smart Cities
• 11.5. Smart Manufacturing
• 11.6. Smart Meters
• 11.7. Vehicle Telemetry

12. Machine-to-Machine Connections Market, by End-User Industry

• 12.1. Introduction
• 12.2. Automotive
• 12.3. Energy & Utilities
• 12.4. Healthcare
• 12.5. Manufacturing
• 12.6. Retail
• 12.7. Transportation & Logistics

13. Americas Machine-to-Machine Connections Market

• 13.1. Introduction
• 13.2. United States
• 13.3. Canada
• 13.4. Mexico
• 13.5. Brazil
• 13.6. Argentina

14. Europe, Middle East & Africa Machine-to-Machine Connections Market

• 14.1. Introduction
• 14.2. United Kingdom
• 14.3. Germany
• 14.4. France
• 14.5. Russia
• 14.6. Italy
• 14.7. Spain
• 14.8. United Arab Emirates
• 14.9. Saudi Arabia
• 14.10. South Africa
• 14.11. Denmark
• 14.12. Netherlands
• 14.13. Qatar
• 14.14. Finland
• 14.15. Sweden
• 14.16. Nigeria
• 14.17. Egypt
• 14.18. Turkey
• 14.19. Israel
• 14.20. Norway
• 14.21. Poland
• 14.22. Switzerland

15. Asia-Pacific Machine-to-Machine Connections Market

• 15.1. Introduction
• 15.2. China
• 15.3. India
• 15.4. Japan
• 15.5. Australia
• 15.6. South Korea
• 15.7. Indonesia
• 15.8. Thailand
• 15.9. Philippines
• 15.10. Malaysia
• 15.11. Singapore
• 15.12. Vietnam
• 15.13. Taiwan

16. Competitive Landscape

• 16.1. Market Share Analysis, 2024
• 16.2. FPNV Positioning Matrix, 2024
• 16.3. Competitive Analysis
  • 16.3.1. AT&T Inc.
  • 16.3.2. Cisco Systems, Inc.
  • 16.3.3. Aeris communication. Inc.
  • 16.3.4. BSIMPLIFY
  • 16.3.5. China Telecom Corporation Limited
  • 16.3.6. Duetsche Telecom AG
  • 16.3.7. Huawei Technologies Co., Ltd.
  • 16.3.8. Intel Corporation
  • 16.3.9. Lantronix, Inc.
  • 16.3.10. Microsoft Corporation
  • 16.3.11. Multi-Tech Systems, Inc.
  • 16.3.12. Murata Manufacturing Co., Ltd.
  • 16.3.13. NTT Communications Corporation
  • 16.3.14. Orange S.A.
  • 16.3.15. Qualcomm Technologies, Inc.
  • 16.3.16. Semtech Corporation
  • 16.3.17. Sensorise Smart Solutions Pvt. Ltd.
  • 16.3.18. Telefonaktiebolaget LM Ericsson
  • 16.3.19. Telefonica S.A.
  • 16.3.20. Telenor Group
  • 16.3.21. Thales Group
  • 16.3.22. u-blox AG
  • 16.3.23. Verizon Communications, Inc.
  • 16.3.24. Vodafone Group PLC
  • 16.3.25. ZTE Corp.

17. ResearchAI

18. ResearchStatistics

19. ResearchContacts

20. ResearchArticles

21. Appendix