The global market for Machine-to-Machine (M2M) Application Development Platforms was valued at US$ 1829 million in the year 2024 and is projected to reach a revised size of US$ 3196 million by 2031, growing at a CAGR of 8.3% during the forecast period.
Machine-to-Machine (M2M) Application Development Platform is a software environment designed to facilitate the creation, deployment, and management of applications that enable direct communication between devices without human intervention. These platforms provide developers with tools, APIs, and frameworks to build solutions that collect, transmit, and analyze data across connected machines, supporting functions like remote monitoring, predictive maintenance, and automated control. Widely used in industries such as manufacturing, transportation, healthcare, and energy, M2M application development platforms help accelerate innovation, enhance operational efficiency, and enable the growth of the Internet of Things (IoT) ecosystem.
North American market for Machine-to-Machine (M2M) Application Development Platforms is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Machine-to-Machine (M2M) Application Development Platforms is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Machine-to-Machine (M2M) Application Development Platforms in Manufacturing is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Machine-to-Machine (M2M) Application Development Platforms include PTC, Qt Group, Venafi, Eurotech, Verizon, OpenMTC, AT&T, InfoStyle, Qualcomm Technologies, Chetu, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine-to-Machine (M2M) Application Development Platforms, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine-to-Machine (M2M) Application Development Platforms.
The Machine-to-Machine (M2M) Application Development Platforms market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Machine-to-Machine (M2M) Application Development Platforms market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine-to-Machine (M2M) Application Development Platforms companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
PTC
Qt Group
Venafi
Eurotech
Verizon
OpenMTC
AT&T
InfoStyle
Qualcomm Technologies
Chetu
Segment by Type
Cloud Based
On-premises
Segment by Application
Manufacturing
Healthcare
Agriculture
Automotive
Energy & Utilities
Retail
Telecommunications
Transportation & Logistics
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine-to-Machine (M2M) Application Development Platforms company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud Based
1.2.3 On-premises
1.3 麻豆原创 by Application
1.3.1 Global Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Manufacturing
1.3.3 Healthcare
1.3.4 Agriculture
1.3.5 Automotive
1.3.6 Energy & Utilities
1.3.7 Retail
1.3.8 Telecommunications
1.3.9 Transportation & Logistics
1.3.10 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Perspective (2020-2031)
2.2 Global Machine-to-Machine (M2M) Application Development Platforms Growth Trends by Region
2.2.1 Global Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Machine-to-Machine (M2M) Application Development Platforms Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Machine-to-Machine (M2M) Application Development Platforms Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Dynamics
2.3.1 Machine-to-Machine (M2M) Application Development Platforms Industry Trends
2.3.2 Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Drivers
2.3.3 Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Challenges
2.3.4 Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine-to-Machine (M2M) Application Development Platforms Players by Revenue
3.1.1 Global Top Machine-to-Machine (M2M) Application Development Platforms Players by Revenue (2020-2025)
3.1.2 Global Machine-to-Machine (M2M) Application Development Platforms Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Top Machine-to-Machine (M2M) Application Development Platforms Players by Company Type and 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Machine-to-Machine (M2M) Application Development Platforms Revenue
3.4 Global Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Concentration Ratio
3.4.1 Global Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine-to-Machine (M2M) Application Development Platforms Revenue in 2024
3.5 Global Key Players of Machine-to-Machine (M2M) Application Development Platforms Head office and Area Served
3.6 Global Key Players of Machine-to-Machine (M2M) Application Development Platforms, Product and Application
3.7 Global Key Players of Machine-to-Machine (M2M) Application Development Platforms, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine-to-Machine (M2M) Application Development Platforms Breakdown Data by Type
4.1 Global Machine-to-Machine (M2M) Application Development Platforms Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Machine-to-Machine (M2M) Application Development Platforms Forecasted 麻豆原创 Size by Type (2026-2031)
5 Machine-to-Machine (M2M) Application Development Platforms Breakdown Data by Application
5.1 Global Machine-to-Machine (M2M) Application Development Platforms Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Machine-to-Machine (M2M) Application Development Platforms Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size (2020-2031)
6.2 North America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2020-2025)
6.4 North America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size (2020-2031)
7.2 Europe Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2020-2025)
7.4 Europe Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size (2020-2031)
9.2 Latin America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Machine-to-Machine (M2M) Application Development Platforms 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 PTC
11.1.1 PTC Company Details
11.1.2 PTC Business Overview
11.1.3 PTC Machine-to-Machine (M2M) Application Development Platforms Introduction
11.1.4 PTC Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.1.5 PTC Recent Development
11.2 Qt Group
11.2.1 Qt Group Company Details
11.2.2 Qt Group Business Overview
11.2.3 Qt Group Machine-to-Machine (M2M) Application Development Platforms Introduction
11.2.4 Qt Group Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.2.5 Qt Group Recent Development
11.3 Venafi
11.3.1 Venafi Company Details
11.3.2 Venafi Business Overview
11.3.3 Venafi Machine-to-Machine (M2M) Application Development Platforms Introduction
11.3.4 Venafi Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.3.5 Venafi Recent Development
11.4 Eurotech
11.4.1 Eurotech Company Details
11.4.2 Eurotech Business Overview
11.4.3 Eurotech Machine-to-Machine (M2M) Application Development Platforms Introduction
11.4.4 Eurotech Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.4.5 Eurotech Recent Development
11.5 Verizon
11.5.1 Verizon Company Details
11.5.2 Verizon Business Overview
11.5.3 Verizon Machine-to-Machine (M2M) Application Development Platforms Introduction
11.5.4 Verizon Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.5.5 Verizon Recent Development
11.6 OpenMTC
11.6.1 OpenMTC Company Details
11.6.2 OpenMTC Business Overview
11.6.3 OpenMTC Machine-to-Machine (M2M) Application Development Platforms Introduction
11.6.4 OpenMTC Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.6.5 OpenMTC Recent Development
11.7 AT&T
11.7.1 AT&T Company Details
11.7.2 AT&T Business Overview
11.7.3 AT&T Machine-to-Machine (M2M) Application Development Platforms Introduction
11.7.4 AT&T Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.7.5 AT&T Recent Development
11.8 InfoStyle
11.8.1 InfoStyle Company Details
11.8.2 InfoStyle Business Overview
11.8.3 InfoStyle Machine-to-Machine (M2M) Application Development Platforms Introduction
11.8.4 InfoStyle Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.8.5 InfoStyle Recent Development
11.9 Qualcomm Technologies
11.9.1 Qualcomm Technologies Company Details
11.9.2 Qualcomm Technologies Business Overview
11.9.3 Qualcomm Technologies Machine-to-Machine (M2M) Application Development Platforms Introduction
11.9.4 Qualcomm Technologies Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.9.5 Qualcomm Technologies Recent Development
11.10 Chetu
11.10.1 Chetu Company Details
11.10.2 Chetu Business Overview
11.10.3 Chetu Machine-to-Machine (M2M) Application Development Platforms Introduction
11.10.4 Chetu Revenue in Machine-to-Machine (M2M) Application Development Platforms Business (2020-2025)
11.10.5 Chetu Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
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*If Applicable.