Machine-to-Machine (M2M) Connections Market Report, Global Industry Analysis, Market Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2023 - 2030

  • Published Date: Jan, 2024
  • Report ID: CR0212361
  • Format: Electronic (PDF)
  • Number of Pages: 209
  • Author(s): Joshi, Madhavi

Report Overview

The Machine-to-Machine (M2M) Connections Market size was estimated at USD 28.5 billion in 2023 and is projected to reach USD 58.5012 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 11.50% during the forecast period (2024-2030).

Machine-to-Machine (M2M) Connections Market

(Market Size)
$28.5 billion
$58.5012 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 11.50%
2023 Market Size USD 28.5 billion
2030 Market Size USD 58.5012 billion
Key Players Verizon, AT&T, Vodafone, Deutsche Telekom, China Mobile

Market Summary

The Machine-to-Machine (M2M) Connections Market represents a critical segment within the semiconductor and electronics industry, focusing on technologies that enable direct communication between devices without human intervention. This market is fundamentally driven by the proliferation of connected devices and the increasing integration of Internet of Things (IoT) ecosystems across various sectors. M2M technology facilitates seamless data exchange, automation, and real-time monitoring, which are essential for modern industrial, commercial, and consumer applications. Key components include sensors, modules, and connectivity solutions that form the backbone of M2M networks. The market is characterized by rapid technological advancements, including the transition from 4G to 5G networks, which significantly enhance connection speeds, reliability, and latency, thereby expanding the potential applications of M2M systems. Industries such as automotive, healthcare, manufacturing, and utilities are major adopters, leveraging M2M for applications like remote monitoring, predictive maintenance, and smart grid management. The competitive landscape is dynamic, with numerous players ranging from semiconductor manufacturers to telecommunications providers and software developers. Companies like Qualcomm, Intel, Sierra Wireless, and Telit are pivotal in driving innovation, offering advanced chipsets, modules, and connectivity platforms. The market is also influenced by regulatory frameworks and standards that ensure interoperability and security, which are paramount given the sensitive nature of transmitted data. As businesses increasingly prioritize efficiency, cost reduction, and data-driven decision-making, the demand for robust M2M solutions continues to grow, positioning this market as a cornerstone of the digital transformation era.

Key Highlights

The Machine-to-Machine (M2M) Connections Market is distinguished by several key highlights that underscore its significance and growth trajectory. One of the most notable aspects is the integration of artificial intelligence and machine learning with M2M systems, enabling predictive analytics and autonomous decision-making. This convergence allows devices to not only communicate but also learn from data patterns, optimizing operations in real-time. Another highlight is the critical role of edge computing, which processes data closer to the source, reducing latency and bandwidth usage, thereby enhancing the efficiency of M2M networks. Security remains a paramount concern, with advancements in encryption technologies and blockchain being integrated to safeguard data integrity and prevent unauthorized access. The market is also witnessing a surge in partnerships and collaborations among semiconductor firms, telecom operators, and industry-specific solution providers to create end-to-end M2M ecosystems. For instance, companies like Cisco Systems and IBM are working with hardware manufacturers to develop integrated solutions that cater to smart cities and industrial automation. Additionally, the adoption of low-power wide-area networks (LPWAN) such as LoRaWAN and NB-IoT is expanding the reach of M2M applications in remote and energy-constrained environments. These technologies enable long-range communication with minimal power consumption, ideal for applications like agricultural monitoring and asset tracking. The emphasis on sustainability is driving the use of M2M in energy management and environmental monitoring, aligning with global green initiatives. Overall, these highlights reflect a market that is not only technologically advanced but also increasingly aligned with broader economic and environmental goals.

Drivers, Opportunities & Restraints

The growth of the Machine-to-Machine (M2M) Connections Market is propelled by several key drivers, with the expansion of IoT ecosystems being paramount. The increasing deployment of smart devices across industries such as healthcare, automotive, and manufacturing necessitates robust M2M communication for seamless interoperability and data exchange. The rollout of 5G technology is another significant driver, offering enhanced bandwidth, lower latency, and greater network reliability, which are essential for real-time M2M applications like autonomous vehicles and remote surgery. Additionally, the rising demand for automation and operational efficiency in industrial settings is encouraging businesses to invest in M2M solutions for predictive maintenance and supply chain optimization. Opportunities in this market are abundant, particularly in emerging applications such as smart agriculture, where M2M technology enables precision farming through soil monitoring and automated irrigation systems. The healthcare sector presents substantial growth potential, with M2M facilitating remote patient monitoring and telehealth services, which have gained prominence post-pandemic. The development of smart cities also offers lucrative opportunities, with M2M connections integral to traffic management, waste management, and public safety systems. However, the market faces certain restraints, including concerns over data security and privacy, as the increased connectivity raises vulnerabilities to cyberattacks. The high initial investment required for deploying M2M infrastructure can be a barrier for small and medium-sized enterprises. Regulatory challenges and the lack of standardized protocols across regions may also hinder seamless global adoption. Despite these restraints, the overall trajectory remains positive, driven by continuous technological innovations and increasing digitalization across sectors.

Concentration Insights

The Machine-to-Machine (M2M) Connections Market exhibits a concentrated competitive landscape, with a few major players dominating significant market shares. Companies such as Qualcomm, Intel, and Sierra Wireless are at the forefront, leveraging their expertise in semiconductor design and wireless communication technologies to offer advanced M2M modules and chipsets. These industry giants benefit from extensive research and development capabilities, allowing them to innovate continuously and set industry standards. The market concentration is also evident in the telecommunications sector, where providers like Verizon, AT&T, and Vodafone play a crucial role by offering connectivity services and managed M2M solutions. Their extensive network infrastructure and global reach enable them to cater to diverse geographical markets and industry verticals. Additionally, there is a notable presence of specialized firms focusing on niche applications, such as Telit in industrial IoT and u-blox in automotive and navigation systems. These companies often form strategic alliances with larger players to enhance their market penetration and technological offerings. The concentration is further influenced by mergers and acquisitions, as seen with Thales Group acquiring Gemalto to strengthen its digital identity and security solutions for M2M applications. This consolidation trend is expected to continue, as companies seek to expand their portfolios and gain competitive advantages. Regional factors also play a role in market concentration, with North America and Europe being early adopters due to advanced infrastructure and regulatory support, while Asia-Pacific is emerging as a high-growth region driven by rapid industrialization and government initiatives promoting smart technologies.

Type Insights

The Machine-to-Machine (M2M) Connections Market can be segmented based on the type of connectivity and technology employed, each catering to specific application requirements. Wired M2M connections, though less prevalent in mobile applications, are crucial in industrial settings where reliability and stability are paramount. These include Ethernet and serial communications used in manufacturing automation and building management systems. Wireless M2M connections dominate the market, with cellular technologies such as 2G, 3G, 4G, and increasingly 5G being widely adopted for their broad coverage and high data transmission capabilities. Cellular M2M modules from companies like Quectel and SIMCom are integral to applications in automotive telematics and remote monitoring. Beyond cellular, short-range wireless technologies like Wi-Fi, Bluetooth, and Zigbee are employed in consumer electronics and smart home devices, enabling localized device networks with low power consumption. Low-power wide-area network (LPWAN) technologies, including LoRaWAN, Sigfox, and NB-IoT, are gaining traction for applications requiring long-range communication with minimal energy usage, such as environmental sensors and asset tracking. Satellite M2M connections are essential for remote and maritime applications where terrestrial networks are unavailable, provided by companies like Inmarsat and Iridium. Each type offers distinct advantages in terms of range, bandwidth, power efficiency, and cost, influencing their adoption across different industries. The choice of connectivity type is often determined by factors such as deployment environment, data volume, and operational lifespan, making it a critical consideration for businesses implementing M2M solutions.

Application Insights

The application spectrum of the Machine-to-Machine (M2M) Connections Market is vast and diverse, spanning multiple industries that leverage automated communication for enhanced efficiency and innovation. In the automotive sector, M2M technology is foundational to telematics systems, enabling features like vehicle tracking, fleet management, and connected car services. Companies like Bosch and Continental develop advanced M2M solutions that facilitate real-time diagnostics and over-the-air updates, improving safety and user experience. The healthcare industry utilizes M2M for remote patient monitoring, where devices transmit vital signs to healthcare providers, allowing for timely interventions and reducing hospital visits. Applications in medical equipment management and drug adherence monitoring are also emerging, driven by firms such as Medtronic and Philips. Industrial automation represents a significant application area, with M2M connections enabling predictive maintenance, asset tracking, and process optimization in manufacturing plants. Siemens and Schneider Electric offer integrated M2M platforms that enhance operational visibility and reduce downtime. In utilities, smart grids employ M2M communication for efficient energy distribution, outage management, and smart metering, with companies like Itron and Landis+Gyr leading innovation. The consumer electronics segment sees M2M in smart home devices, wearables, and personal assistants, where seamless connectivity enhances user convenience. Additionally, retail applications include inventory management and personalized marketing through connected point-of-sale systems. Each application demands tailored M2M solutions, influencing the development of industry-specific modules, software, and security protocols to address unique challenges and requirements.

Regional Insights

The Machine-to-Machine (M2M) Connections Market demonstrates distinct regional dynamics influenced by technological adoption, regulatory environments, and economic factors. North America is a leading region, characterized by advanced infrastructure, high IoT penetration, and strong presence of key players like Qualcomm and Verizon. The region's focus on innovations in healthcare, automotive, and industrial automation drives demand for reliable M2M solutions. Supportive government policies, particularly in the United States and Canada, promote smart city initiatives and cybersecurity measures, further bolstering market growth. Europe follows closely, with countries such as Germany, the UK, and France at the forefront of industrial IoT and automotive M2M applications. The European Union's stringent data protection regulations, including GDPR, shape the development of secure M2M systems, while initiatives like the Digital Single Market encourage cross-border connectivity and standardization. Asia-Pacific is the fastest-growing region, propelled by rapid urbanization, industrialization, and government investments in smart technologies. China, Japan, and South Korea are major contributors, with companies like Huawei and Sony advancing M2M modules and consumer electronics. India's digital transformation efforts and expanding telecommunications network also present significant opportunities. Latin America and the Middle East & Africa are emerging markets, where growth is driven by increasing mobile connectivity and applications in agriculture, oil & gas, and public safety. However, challenges such as infrastructure gaps and regulatory uncertainties may slow adoption in these regions. Overall, regional insights highlight a globally interconnected market with varying growth rates and focal points, necessitating tailored strategies for market participants.

Company Insights

The competitive landscape of the Machine-to-Machine (M2M) Connections Market is shaped by a mix of established semiconductor giants, telecommunications providers, and specialized technology firms. Qualcomm Incorporated is a dominant player, renowned for its Snapdragon processors and wireless modems that power a wide range of M2M devices, from automotive systems to industrial sensors. The company's focus on 5G technology and edge AI positions it at the forefront of next-generation M2M solutions. Intel Corporation leverages its expertise in chipsets and IoT platforms to offer scalable M2M connectivity, particularly in smart cities and manufacturing. Sierra Wireless provides comprehensive M2M modules and cloud services, emphasizing seamless integration and security for global deployments. Telit Communications specializes in industrial IoT, offering modules and services that cater to verticals like healthcare and logistics. Telecommunications leaders such as Verizon Communications and Vodafone Group play a critical role by providing managed M2M connectivity and platform services, enabling businesses to deploy and manage connected devices efficiently. These companies often collaborate with hardware manufacturers to deliver end-to-end solutions. Other notable players include u-blox, known for its positioning and wireless modules in automotive and navigation, and Thales Group, which focuses on secure M2M applications in aerospace and defense. The market also sees innovation from smaller firms and startups developing niche solutions, such as low-power modules for agricultural sensors or blockchain-based security for M2M networks. Strategic partnerships, mergers, and acquisitions are common, as companies aim to expand their technological capabilities and geographic reach in this rapidly evolving market.

Recent Developments

The Machine-to-Machine (M2M) Connections Market has witnessed significant recent developments that reflect its dynamic nature and ongoing innovation. A key trend is the accelerated adoption of 5G technology, with major players like Ericsson and Nokia deploying 5G networks that enhance M2M capabilities through ultra-low latency and high reliability, enabling critical applications such as autonomous driving and remote robotics. In the semiconductor sector, companies are introducing advanced modules with integrated AI capabilities; for instance, Qualcomm's latest 5G M2M chipsets incorporate on-device machine learning for smarter data processing. Security remains a focal point, with developments in quantum-resistant encryption and blockchain integration to protect M2M communications from evolving cyber threats. Partnerships have been prominent, such as the collaboration between Siemens and Vodafone to develop integrated M2M solutions for industrial IoT, combining connectivity with automation expertise. acquisitions continue to shape the landscape, as seen with Semtech acquiring Sierra Wireless to strengthen its LPWAN offerings and expand into cellular IoT. Regulatory advancements are also noteworthy, with regions like the European Union updating standards for M2M communication in smart devices to ensure interoperability and data privacy. Additionally, sustainability initiatives are driving innovations in energy-efficient M2M modules, supporting applications in renewable energy monitoring and carbon footprint reduction. These developments highlight a market that is not only expanding technologically but also aligning with global trends in digitalization, security, and environmental responsibility, ensuring its relevance across diverse industries.

Report Segmentation

The report on the Machine-to-Machine (M2M) Connections Market is meticulously segmented to provide a comprehensive analysis that caters to the diverse needs of stakeholders. The segmentation is based on several critical parameters, ensuring a detailed examination of market dynamics. By type, the report categorizes M2M connections into wired and wireless technologies, with further subdivisions for wireless, including cellular (2G, 3G, 4G, 5G), short-range (Wi-Fi, Bluetooth, Zigbee), LPWAN (LoRaWAN, NB-IoT, Sigfox), and satellite communications. This allows readers to understand the adoption patterns and technological preferences across different applications. Application-wise segmentation covers key industries such as automotive, healthcare, industrial automation, utilities, consumer electronics, and retail, highlighting specific use cases like telematics, remote monitoring, smart grids, and inventory management. Regional segmentation provides insights into geographic markets, including North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa, detailing regional trends, regulatory impacts, and growth opportunities. The report also segments by component, examining hardware (modules, sensors, routers), software (platforms, applications), and services (connectivity, managed services), which is crucial for understanding the value chain and investment areas. Additionally, segmentation by organization size addresses the needs of both large enterprises and small & medium-sized businesses, reflecting varying adoption barriers and solutions. This structured approach enables readers to pinpoint relevant data, identify growth segments, and make informed decisions based on their specific interests and market positions.

FAQs

What are the key technologies driving the M2M Connections Market? The market is primarily driven by advancements in cellular technologies, especially the transition to 5G, which offers high speed and low latency. Additionally, low-power wide-area networks like NB-IoT and LoRaWAN are gaining traction for applications requiring long-range connectivity with minimal energy consumption. Integration with artificial intelligence and edge computing further enhances the capabilities of M2M systems.

How does M2M technology benefit the automotive industry? In the automotive sector, M2M technology enables telematics for real-time vehicle tracking, fleet management, and predictive maintenance. It supports connected car features such as emergency services, navigation updates, and diagnostics, improving safety, efficiency, and user experience. Companies like Bosch and Continental are leaders in developing these solutions.

What are the major challenges faced by the M2M Connections Market? Key challenges include cybersecurity risks due to increased connectivity, which necessitates robust encryption and authentication measures. High deployment costs and interoperability issues between different devices and networks can also hinder adoption. Regulatory variations across regions add complexity to global implementations.

Which regions show the highest growth potential for M2M connections? Asia-Pacific exhibits the highest growth potential, driven by rapid industrialization, urbanization, and government initiatives in countries like China and India. North America and Europe remain strong markets due to advanced infrastructure, while Latin America and the Middle East are emerging with increasing investments in smart technologies.

How is M2M technology applied in healthcare? M2M technology in healthcare facilitates remote patient monitoring, allowing devices to transmit health data to providers for timely care. It is used in wearable health monitors, smart medical equipment, and medication adherence systems, enhancing patient outcomes and reducing healthcare costs. Companies like Medtronic and Philips are active in this space.

What role do telecommunications companies play in the M2M market? Telecommunications companies such as Verizon, AT&T, and Vodafone provide essential connectivity services for M2M devices, including SIM management and network infrastructure. They also offer managed M2M platforms that help businesses deploy, monitor, and secure connected devices efficiently, acting as enablers for widespread adoption.

Citius Research has developed a research report titled “Machine-to-Machine (M2M) Connections Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” delivering key insights regarding business intelligence and providing concrete business strategies to clients in the form of a detailed syndicated report. The report details out the factors such as business environment, industry trend, growth opportunities, competition, pricing, global and regional market analysis, and other market related factors.

Details included in the report for the years 2024 through 2030

• Machine-to-Machine (M2M) Connections Market Potential
• Segment-wise breakup
• Compounded annual growth rate (CAGR) for the next 6 years
• Key customers and their preferences
• Market share of major players and their competitive strength
• Existing competition in the market
• Price trend analysis
• Key trend analysis
• Market entry strategies
• Market opportunity insights

The report focuses on the drivers, restraints, opportunities, and challenges in the market based on various factors geographically. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report. The Machine-to-Machine (M2M) Connections Market report is segmented on the basis of various market segments and their analysis, both in terms of value and volume, for each region for the period under consideration.

Machine-to-Machine (M2M) Connections Market Segmentation

Market Segmentation

Regions Covered

• North America
• Latin America
• Europe
• MENA
• Asia Pacific
• Sub-Saharan Africa and
• Australasia

Machine-to-Machine (M2M) Connections Market Analysis

The report covers below mentioned analysis, but is not limited to:

• Overview of Machine-to-Machine (M2M) Connections Market
• Research Methodology
• Executive Summary
• Market Dynamics of Machine-to-Machine (M2M) Connections Market
  • Driving Factors
  • Restraints
  • Opportunities
• Global Market Status and Forecast by Segment A
• Global Market Status and Forecast by Segment B
• Global Market Status and Forecast by Segment C
• Global Market Status and Forecast by Regions
• Upstream and Downstream Market Analysis of Machine-to-Machine (M2M) Connections Market
• Cost and Gross Margin Analysis of Machine-to-Machine (M2M) Connections Market
• Machine-to-Machine (M2M) Connections Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030
  • Competition Landscape
  • Market Share of Major Players
• Key Recommendations

The “Machine-to-Machine (M2M) Connections Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” report helps the clients to take business decisions and to understand strategies of major players in the industry. The report delivers the market driven results supported by a mix of primary and secondary research. The report provides the results triangulated through authentic sources and upon conducting thorough primary interviews with the industry experts. The report includes the results on the areas where the client can focus and create point of parity and develop a competitive edge, based on real-time data results.

Machine-to-Machine (M2M) Connections Market Key Stakeholders

Below are the key stakeholders for the Machine-to-Machine (M2M) Connections Market:

• Manufacturers
• Distributors/Traders/Wholesalers
• Material/Component Manufacturers
• Industry Associations
• Downstream vendors

Machine-to-Machine (M2M) Connections Market Report Scope

Report AttributeDetails
Base year2023
Historical data2018 – 2023
Forecast2024 - 2030
CAGR2024 - 2030
Quantitative UnitsValue (USD Million)
Report coverageRevenue Forecast, Competitive Landscape, Growth Factors, Trends and Strategies. Customized report options available on request
Segments coveredProduct type, technology, application, geography
Regions coveredNorth America, Latin America, Europe, MENA, Asia Pacific, Sub-Saharan Africa and Australasia
Countries coveredUS, UK, China, Japan, Germany, India, France, Brazil, Italy, Canada, Russia, South Korea, Australia, Spain, Mexico and others
Customization scopeAvailable on request
PricingVarious purchase options available as per your research needs. Discounts available on request

COVID-19 Impact Analysis

Like most other markets, the outbreak of COVID-19 had an unfavorable impact on the Machine-to-Machine (M2M) Connections Market worldwide. This report discusses in detail the disruptions experienced by the market, the impact on flow of raw materials, manufacturing operations, production trends, consumer demand and the projected future of this market post pandemic.

The report has helped our clients:

• To describe and forecast the Machine-to-Machine (M2M) Connections Market size, on the basis of various segmentations and geography, in terms of value and volume
• To measure the changing needs of customers/industries
• To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
• To gain competitive intelligence and uncover new opportunities
• To analyse opportunities in the market for stakeholders by identifying high-growth segments in Machine-to-Machine (M2M) Connections Market
• To strategically profile key players and provide details of the current competitive landscape
• To analyse strategic approaches adopted by players in the market, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships

Report Customization

Citius Research provides free customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities.

Customize This Report

Frequently Asked Questions

The Global Machine-to-Machine (M2M) Connections Market size was valued at $XX billion in 2023 and is anticipated to reach $XX billion by 2030 growing at a CAGR of XX%
The global Machine-to-Machine (M2M) Connections Market is expected to grow at a CAGR of XX% from 2023 to 2030.
For further details request a free sample copy of this report here.
For further details request a free sample copy of this report here.
For further details request a free sample copy of this report here.

Table of Contents

Chapter 1. Introduction
  1.1. Market Scope
  1.2. Key Segmentations
  1.3. Research Objective
Chapter 2. Research Methodology & Assumptions
Chapter 3. Executive Summary
Chapter 4. Market Background
  4.1. Dynamics
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunity
    4.1.4. Challenges
  4.2. Key Trends in the Impacting the Market
    4.2.1. Demand & Supply
  4.3. Industry SWOT Analysis
  4.4. Porter’s Five Forces Analysis
  4.5. Value and Supply Chain Analysis
  4.6. Macro-Economic Factors
  4.7. COVID-19 Impact Analysis
    4.7.1. Global and Regional Assessment
  4.8. Profit Margin Analysis
  4.9. Trade Analysis
    4.9.1. Importing Countries
    4.9.2. Exporting Countries
  4.10. Market Entry Strategies
  4.11. Market Assessment (US$ Mn and Units)
Chapter 5. Global Machine-to-Machine (M2M) Connections Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment A
  5.1. By Segment A, 2024 - 2030
    5.1.1. Sub-Segment A
    5.1.2. Sub-Segment B
  5.2. Opportunity Analysis
Chapter 6. Global Machine-to-Machine (M2M) Connections Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment B
  6.1. By Segment B, 2024 - 2030
    6.1.1. Sub-Segment A
    6.1.2. Sub-Segment B
  6.2. Opportunity Analysis
Chapter 7. Global Machine-to-Machine (M2M) Connections Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment C
  7.1. By Segment C, 2024 - 2030
    7.1.1. Sub-Segment A
    7.1.2. Sub-Segment B
  7.2. Opportunity Analysis
Chapter 8. Global Machine-to-Machine (M2M) Connections Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Region
  8.1. By Region, 2024 - 2030
    8.1.1. North America
    8.1.2. Latin America
    8.1.3. Europe
    8.1.4. MENA
    8.1.5. Asia Pacific
    8.1.6. Sub-Saharan Africa
    8.1.7. Australasia
  8.2. Opportunity Analysis
Chapter 9. North America Machine-to-Machine (M2M) Connections Market Forecast and Trend Analysis
  9.1. Regional Overview
  9.2. Pricing Analysis
  9.3. Key Trends in the Region
    9.3.1. Supply and Demand
  9.4. Demographic Structure
  9.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    9.5.1. Sub-Segment A
    9.5.2. Sub-Segment B
  9.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    9.6.1. Sub-Segment A
    9.6.2. Sub-Segment B
  9.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    9.7.1. Sub-Segment A
    9.7.2. Sub-Segment B
  9.8. By Country, 2024 - 2030, (US$ Mn and Units)
    9.8.1. U.S.
    9.8.2. Canada
    9.8.3. Rest of North America
  9.9. Opportunity Analysis
Chapter 10. Latin America Machine-to-Machine (M2M) Connections Market Forecast and Trend Analysis
  10.1. Regional Overview
  10.2. Pricing Analysis
  10.3. Key Trends in the Region
    10.3.1. Supply and Demand
  10.4. Demographic Structure
  10.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    10.5.1. Sub-Segment A
    10.5.2. Sub-Segment B
  10.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    10.6.1. Sub-Segment A
    10.6.2. Sub-Segment B
  10.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    10.7.1. Sub-Segment A
    10.7.2. Sub-Segment B
  10.8. By Country, 2024 - 2030, (US$ Mn and Units)
    10.8.1. Brazil
    10.8.2. Argentina
    10.8.3. Rest of Latin America
  10.9. Opportunity Analysis
Chapter 11. Europe Machine-to-Machine (M2M) Connections Market Forecast and Trend Analysis
  11.1. Regional Overview
  11.2. Pricing Analysis
  11.3. Key Trends in the Region
    11.3.1. Supply and Demand
  11.4. Demographic Structure
  11.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    11.5.1. Sub-Segment A
    11.5.2. Sub-Segment B
  11.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    11.6.1. Sub-Segment A
    11.6.2. Sub-Segment B
  11.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    11.7.1. Sub-Segment A
    11.7.2. Sub-Segment B
  11.8. By Country, 2024 - 2030, (US$ Mn and Units)
    11.8.1. UK
    11.8.2. Germany
    11.8.3. France
    11.8.4. Spain
    11.8.5. Rest of Europe
  11.9. Opportunity Analysis
Chapter 12. MENA Machine-to-Machine (M2M) Connections Market Forecast and Trend Analysis
  12.1. Regional Overview
  12.2. Pricing Analysis
  12.3. Key Trends in the Region
    12.3.1. Supply and Demand
  12.4. Demographic Structure
  12.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    12.5.1. Sub-Segment A
    12.5.2. Sub-Segment B
  12.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    12.6.1. Sub-Segment A
    12.6.2. Sub-Segment B
  12.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    12.7.1. Sub-Segment A
    12.7.2. Sub-Segment B
  12.8. By Country, 2024 - 2030, (US$ Mn and Units)
    12.8.1. Egypt
    12.8.2. Algeria
    12.8.3. GCC
    12.8.4. Rest of MENA
  12.9. Opportunity Analysis
Chapter 13. Asia Pacific Machine-to-Machine (M2M) Connections Market Forecast and Trend Analysis
  13.1. Regional Overview
  13.2. Pricing Analysis
  13.3. Key Trends in the Region
    13.3.1. Supply and Demand
  13.4. Demographic Structure
  13.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    13.5.1. Sub-Segment A
    13.5.2. Sub-Segment B
  13.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    13.6.1. Sub-Segment A
    13.6.2. Sub-Segment B
  13.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    13.7.1. Sub-Segment A
    13.7.2. Sub-Segment B
  13.8. By Country, 2024 - 2030, (US$ Mn and Units)
    13.8.1. India
    13.8.2. China
    13.8.3. Japan
    13.8.4. ASEAN
    13.8.5. Rest of Asia Pacific
  13.9. Opportunity Analysis
Chapter 14. Sub-Saharan Africa Machine-to-Machine (M2M) Connections Market Forecast and Trend Analysis
  14.1. Regional Overview
  14.2. Pricing Analysis
  14.3. Key Trends in the Region
    14.3.1. Supply and Demand
  14.4. Demographic Structure
  14.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    14.5.1. Sub-Segment A
    14.5.2. Sub-Segment B
  14.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    14.6.1. Sub-Segment A
    14.6.2. Sub-Segment B
  14.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    14.7.1. Sub-Segment A
    14.7.2. Sub-Segment B
  14.8. By Country, 2024 - 2030, (US$ Mn and Units)
    14.8.1. Ethiopia
    14.8.2. Nigeria
    14.8.3. Rest of Sub-Saharan Africa
  14.9. Opportunity Analysis
Chapter 15. Australasia Machine-to-Machine (M2M) Connections Market Forecast and Trend Analysis
  15.1. Regional Overview
  15.2. Pricing Analysis
  15.3. Key Trends in the Region
    15.3.1. Supply and Demand
  15.4. Demographic Structure
  15.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    15.5.1. Sub-Segment A
    15.5.2. Sub-Segment B
  15.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    15.6.1. Sub-Segment A
    15.6.2. Sub-Segment B
  15.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    15.7.1. Sub-Segment A
    15.7.2. Sub-Segment B
  15.8. By Country, 2024 - 2030, (US$ Mn and Units)
    15.8.1. Australia
    15.8.2. New Zealand
    15.8.3. Rest of Australasia
  15.9. Opportunity Analysis
Chapter 16. Competition Analysis
  16.1. Competitive Benchmarking
    16.1.1. Top Player’s Market Share
    16.1.2. Price and Product Comparison
  16.2. Company Profiles
    16.2.1. Company A
      16.2.1.1. Company Overview
      16.2.1.2. Segmental Revenue
      16.2.1.3. Product Portfolio
      16.2.1.4. Key Developments
      16.2.1.5. Strategic Outlook
    16.2.2. Company B
      16.2.2.1. Company Overview
      16.2.2.2. Segmental Revenue
      16.2.2.3. Product Portfolio
      16.2.2.4. Key Developments
      16.2.2.5. Strategic Outlook
    16.2.3. Company C
      16.2.3.1. Company Overview
      16.2.3.2. Segmental Revenue
      16.2.3.3. Product Portfolio
      16.2.3.4. Key Developments
      16.2.3.5. Strategic Outlook
    16.2.4. Company D
      16.2.4.1. Company Overview
      16.2.4.2. Segmental Revenue
      16.2.4.3. Product Portfolio
      16.2.4.4. Key Developments
      16.2.4.5. Strategic Outlook
    16.2.5. Company E
      16.2.5.1. Company Overview
      16.2.5.2. Segmental Revenue
      16.2.5.3. Product Portfolio
      16.2.5.4. Key Developments
      16.2.5.5. Strategic Outlook
    16.2.6. Company F
      16.2.6.1. Company Overview
      16.2.6.2. Segmental Revenue
      16.2.6.3. Product Portfolio
      16.2.6.4. Key Developments
      16.2.6.5. Strategic Outlook
    16.2.7. Company G
      16.2.7.1. Company Overview
      16.2.7.2. Segmental Revenue
      16.2.7.3. Product Portfolio
      16.2.7.4. Key Developments
      16.2.7.5. Strategic Outlook
    16.2.8. Company H
      16.2.8.1. Company Overview
      16.2.8.2. Segmental Revenue
      16.2.8.3. Product Portfolio
      16.2.8.4. Key Developments
      16.2.8.5. Strategic Outlook
    16.2.9. Company I
      16.2.9.1. Company Overview
      16.2.9.2. Segmental Revenue
      16.2.9.3. Product Portfolio
      16.2.9.4. Key Developments
      16.2.9.5. Strategic Outlook
    16.2.10. Company J
      16.2.10.1. Company Overview
      16.2.10.2. Segmental Revenue
      16.2.10.3. Product Portfolio
      16.2.10.4. Key Developments
      16.2.10.5. Strategic Outlook
Chapter 17. Go-To-Market Strategy

Research Methodology

We follow a robust research methodology to analyze the market in order to provide our clients with qualitative and quantitative analysis which has a very low or negligible deviance. Extensive secondary research supported by primary data collection methods help us to thoroughly understand and gauge the market. We incorporate both top-down and bottom-up approach for estimating the market. The below mentioned methods are then adopted to triangulate and validate the market.

Secondary data collection and interpretation

Secondary research includes sources such as published books, articles in journals, news media and published businesses, government and international body publications, and associations. Sources also include paid databases such as Hoovers, Thomson Reuters, Passport and others. Data derived through secondary sources is further validated through primary sources. The secondary sources also include major manufacturers mapped on the basis of revenues, product portfolios, and sales channels.

Primary data collection

Primary data collection methods include conducting interviews with industry experts and various stakeholders across the supply chain, such as raw material suppliers, manufacturers, product distributors and customers. The interviews are either telephonic or face-to-face, or even a combination of both. Prevailing trends in the industry are gathered by conducting surveys. Primary interviews also help us to understand the market drivers, restraints and opportunities, along with the challenges in the market. This method helps us in validating the data gathered through secondary sources, further triangulating the data and developing it through our statistical tools. We generally conduct interviews with -

  • CEOs, Directors, and VPs
  • Sales and Marketing Managers
  • Plant Heads and Manufacturing Department Heads
  • Product Specialists

Supply Side and Demand Side Data Collection

Supply side analysis is based on the data collected from the manufacturers and the product providers in terms of their segmental revenues. Secondary sources for this type of analysis include company annual reports and publications, associations and organisations, government publications and others.

Demand side analysis is based upon the consumer insights who are the end users of the particular product in question. They could be an individual user or an organisation. Such data is gathered through consumer surveys and focused group interviews.

Market Engineering

As a primary step, in order to develop the market numbers we follow a vigorous methodology that includes studying the parent market of the niche product and understanding the industry trends, acceptance among customers of the product, challenges, future growth, and others, followed by further breaking down the market under consideration into various segments and sub-markets. Additionally, in order to cross-validate the market, we also determine the top players in the market, along with their segmental revenues for the said market. Our secondary sources help us to validate the market share of the top players. Using both the qualitative and quantitative analysis of all the possible factors helps us determine the market numbers which are inclined towards accuracy.

Request a detailed Research Methodology for the market.

Request Customization or Sample Report

To request a sample report or for any inquiry regarding this report, please fill out the form below

Yes, I have read the Privacy Policy.

Related Reports






latest reports