Global Machine to Machine (M2M) Healthcare Market Research Report 2023

Publication ID:

PB501237999

Publication Date:

January 27, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

M2M that is machine to machine technology is very important tool in healthcare. Medical devices can improve patient care skill and give remote diagnostics, it can alter health care in many ways such as it require little amount of BW, minimized concern for the patient and enhanced quality of care. M2M technology contains two types of technology called wired and wireless technology which join to devices of the similar type and allow communication within the same. The development of wireless networks, healthcare machine to machine communication takes place in easy way and it takes less time and power for communicating between machines. Growth of M2M trends in all over world and the use of smart phone has increase the knowledge for use of M2M technology in the healthcare world.
Highlights
The global Machine to Machine (M2M) Healthcare market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Machine to Machine (M2M) Healthcare is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Machine to Machine (M2M) Healthcare is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Machine to Machine (M2M) Healthcare in Patient Monitoring Systems is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Machine to Machine (M2M) Healthcare include AirStrip Technologies, BL Healthcare, IBM, PharmaSecure, Microsoft, Apple, Ingenious Med, Cisco Networks and NeuroVigil, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine to Machine (M2M) Healthcare, 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) Healthcare.
The Machine to Machine (M2M) Healthcare market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Machine to Machine (M2M) Healthcare 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) Healthcare 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.
By Company
AirStrip Technologies
BL Healthcare
IBM
PharmaSecure
Microsoft
Apple
Ingenious Med
Cisco Networks
NeuroVigil
QxMD Software
Segment by Type
Wired Technologies
Wireless Technologies
Segment by Application
Patient Monitoring Systems
Fall Detector
Smart Pill Dispenser
Telemedicine
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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) Healthcare companies鈥� 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine to Machine (M2M) Healthcare Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Wired Technologies
1.2.3 Wireless Technologies
1.3 Market by Application
1.3.1 Global Machine to Machine (M2M) Healthcare Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Patient Monitoring Systems
1.3.3 Fall Detector
1.3.4 Smart Pill Dispenser
1.3.5 Telemedicine
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine to Machine (M2M) Healthcare Market Perspective (2018-2029)
2.2 Machine to Machine (M2M) Healthcare Growth Trends by Region
2.2.1 Global Machine to Machine (M2M) Healthcare Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Machine to Machine (M2M) Healthcare Historic Market Size by Region (2018-2023)
2.2.3 Machine to Machine (M2M) Healthcare Forecasted Market Size by Region (2024-2029)
2.3 Machine to Machine (M2M) Healthcare Market Dynamics
2.3.1 Machine to Machine (M2M) Healthcare Industry Trends
2.3.2 Machine to Machine (M2M) Healthcare Market Drivers
2.3.3 Machine to Machine (M2M) Healthcare Market Challenges
2.3.4 Machine to Machine (M2M) Healthcare Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine to Machine (M2M) Healthcare Players by Revenue
3.1.1 Global Top Machine to Machine (M2M) Healthcare Players by Revenue (2018-2023)
3.1.2 Global Machine to Machine (M2M) Healthcare Revenue Market Share by Players (2018-2023)
3.2 Global Machine to Machine (M2M) Healthcare Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine to Machine (M2M) Healthcare Revenue
3.4 Global Machine to Machine (M2M) Healthcare Market Concentration Ratio
3.4.1 Global Machine to Machine (M2M) Healthcare Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine to Machine (M2M) Healthcare Revenue in 2022
3.5 Machine to Machine (M2M) Healthcare Key Players Head office and Area Served
3.6 Key Players Machine to Machine (M2M) Healthcare Product Solution and Service
3.7 Date of Enter into Machine to Machine (M2M) Healthcare Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine to Machine (M2M) Healthcare Breakdown Data by Type
4.1 Global Machine to Machine (M2M) Healthcare Historic Market Size by Type (2018-2023)
4.2 Global Machine to Machine (M2M) Healthcare Forecasted Market Size by Type (2024-2029)
5 Machine to Machine (M2M) Healthcare Breakdown Data by Application
5.1 Global Machine to Machine (M2M) Healthcare Historic Market Size by Application (2018-2023)
5.2 Global Machine to Machine (M2M) Healthcare Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Machine to Machine (M2M) Healthcare Market Size (2018-2029)
6.2 North America Machine to Machine (M2M) Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Machine to Machine (M2M) Healthcare Market Size by Country (2018-2023)
6.4 North America Machine to Machine (M2M) Healthcare Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine to Machine (M2M) Healthcare Market Size (2018-2029)
7.2 Europe Machine to Machine (M2M) Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Machine to Machine (M2M) Healthcare Market Size by Country (2018-2023)
7.4 Europe Machine to Machine (M2M) Healthcare Market Size by Country (2024-2029)
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) Healthcare Market Size (2018-2029)
8.2 Asia-Pacific Machine to Machine (M2M) Healthcare Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Machine to Machine (M2M) Healthcare Market Size by Region (2018-2023)
8.4 Asia-Pacific Machine to Machine (M2M) Healthcare Market Size by Region (2024-2029)
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) Healthcare Market Size (2018-2029)
9.2 Latin America Machine to Machine (M2M) Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Machine to Machine (M2M) Healthcare Market Size by Country (2018-2023)
9.4 Latin America Machine to Machine (M2M) Healthcare Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine to Machine (M2M) Healthcare Market Size (2018-2029)
10.2 Middle East & Africa Machine to Machine (M2M) Healthcare Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Machine to Machine (M2M) Healthcare Market Size by Country (2018-2023)
10.4 Middle East & Africa Machine to Machine (M2M) Healthcare Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AirStrip Technologies
11.1.1 AirStrip Technologies Company Detail
11.1.2 AirStrip Technologies Business Overview
11.1.3 AirStrip Technologies Machine to Machine (M2M) Healthcare Introduction
11.1.4 AirStrip Technologies Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.1.5 AirStrip Technologies Recent Development
11.2 BL Healthcare
11.2.1 BL Healthcare Company Detail
11.2.2 BL Healthcare Business Overview
11.2.3 BL Healthcare Machine to Machine (M2M) Healthcare Introduction
11.2.4 BL Healthcare Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.2.5 BL Healthcare Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Machine to Machine (M2M) Healthcare Introduction
11.3.4 IBM Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.3.5 IBM Recent Development
11.4 PharmaSecure
11.4.1 PharmaSecure Company Detail
11.4.2 PharmaSecure Business Overview
11.4.3 PharmaSecure Machine to Machine (M2M) Healthcare Introduction
11.4.4 PharmaSecure Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.4.5 PharmaSecure Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Machine to Machine (M2M) Healthcare Introduction
11.5.4 Microsoft Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.5.5 Microsoft Recent Development
11.6 Apple
11.6.1 Apple Company Detail
11.6.2 Apple Business Overview
11.6.3 Apple Machine to Machine (M2M) Healthcare Introduction
11.6.4 Apple Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.6.5 Apple Recent Development
11.7 Ingenious Med
11.7.1 Ingenious Med Company Detail
11.7.2 Ingenious Med Business Overview
11.7.3 Ingenious Med Machine to Machine (M2M) Healthcare Introduction
11.7.4 Ingenious Med Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.7.5 Ingenious Med Recent Development
11.8 Cisco Networks
11.8.1 Cisco Networks Company Detail
11.8.2 Cisco Networks Business Overview
11.8.3 Cisco Networks Machine to Machine (M2M) Healthcare Introduction
11.8.4 Cisco Networks Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.8.5 Cisco Networks Recent Development
11.9 NeuroVigil
11.9.1 NeuroVigil Company Detail
11.9.2 NeuroVigil Business Overview
11.9.3 NeuroVigil Machine to Machine (M2M) Healthcare Introduction
11.9.4 NeuroVigil Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.9.5 NeuroVigil Recent Development
11.10 QxMD Software
11.10.1 QxMD Software Company Detail
11.10.2 QxMD Software Business Overview
11.10.3 QxMD Software Machine to Machine (M2M) Healthcare Introduction
11.10.4 QxMD Software Revenue in Machine to Machine (M2M) Healthcare Business (2018-2023)
11.10.5 QxMD Software Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

AirStrip Technologies
BL Healthcare
IBM
PharmaSecure
Microsoft
Apple
Ingenious Med
Cisco Networks
NeuroVigil
QxMD Software

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