Global Embedded Real-Time Operating Systems for the IoT Market Size, Status and Forecast 2019-2025

A Real-time Operating Systems (RTOS) is an OS that manages hardware resources, hosts applications, and processes data on real-time basis. RTOS defines the real time task processing time, interrupt latency, and reliability of both hardware and applications, especially for low powered and memory constrained devices and networks.
The key difference between RTOS and a general purpose OS lies within its high degree of reliability and consistency on timing between application’s task acceptance and completion.
RTOS is a critical component to build comprehensive embedded systems for Internet of Things (IoT) solutions for both consumer and industrial IoT (IIoT). Embedded RTOS is a key consideration to build mission critical, reliable IIoT applications across various industry verticals including industrial equipment, automotive, healthcare, telecommunications, government solutions, and more.
In 2018, the global Embedded Real-Time Operating Systems for the IoT market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

This report focuses on the global Embedded Real-Time Operating Systems for the IoT status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Embedded Real-Time Operating Systems for the IoT development in United States, Europe and China.

The key players covered in this study
AMD
Amperex Technology Ltd. (ATL)
Atari
Atmel Corporation
Blackberry Ltd
Emerson Network Power
ENEA
Express Logic, Inc.
Google
Huawei
IBM
IXYS Corporation
Johnson Controls Inc.
Johnson Matthey
LG Chem
Linux
Microchip Technology
Microsoft
NEC
Nuvoton
NXP Semiconductors
OAR corporation
OpenWSN
Panasonic Corp.
Samsung
Segger Microcontroller Systems
Sharp
SHHIC
Silicon Labs
Spansion

Market segment by Type, the product can be split into
Hardware
Software
Firmware

Market segment by Application, split into
Industrial Equipment
Automotive
Healthcare
Telecommunications
Government
Others

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Embedded Real-Time Operating Systems for the IoT status, future forecast, growth opportunity, key market and key players.
To present the Embedded Real-Time Operating Systems for the IoT development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Embedded Real-Time Operating Systems for the IoT are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Table of Contents

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Embedded Real-Time Operating Systems for the IoT Market Size Growth Rate by Type (2014-2025)
1.4.2 Hardware
1.4.3 Software
1.4.4 Firmware
1.5 Market by Application
1.5.1 Global Embedded Real-Time Operating Systems for the IoT Market Share by Application (2014-2025)
1.5.2 Industrial Equipment
1.5.3 Automotive
1.5.4 Healthcare
1.5.5 Telecommunications
1.5.6 Government
1.5.7 Others
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Embedded Real-Time Operating Systems for the IoT Market Size
2.2 Embedded Real-Time Operating Systems for the IoT Growth Trends by Regions
2.2.1 Embedded Real-Time Operating Systems for the IoT Market Size by Regions (2014-2025)
2.2.2 Embedded Real-Time Operating Systems for the IoT Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities

3 Market Share by Key Players
3.1 Embedded Real-Time Operating Systems for the IoT Market Size by Manufacturers
3.1.1 Global Embedded Real-Time Operating Systems for the IoT Revenue by Manufacturers (2014-2019)
3.1.2 Global Embedded Real-Time Operating Systems for the IoT Revenue Market Share by Manufacturers (2014-2019)
3.1.3 Global Embedded Real-Time Operating Systems for the IoT Market Concentration Ratio (CR5 and HHI)
3.2 Embedded Real-Time Operating Systems for the IoT Key Players Head office and Area Served
3.3 Key Players Embedded Real-Time Operating Systems for the IoT Product/Solution/Service
3.4 Date of Enter into Embedded Real-Time Operating Systems for the IoT Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application
4.1 Global Embedded Real-Time Operating Systems for the IoT Market Size by Type (2014-2019)
4.2 Global Embedded Real-Time Operating Systems for the IoT Market Size by Application (2014-2019)

5 United States
5.1 United States Embedded Real-Time Operating Systems for the IoT Market Size (2014-2019)
5.2 Embedded Real-Time Operating Systems for the IoT Key Players in United States
5.3 United States Embedded Real-Time Operating Systems for the IoT Market Size by Type
5.4 United States Embedded Real-Time Operating Systems for the IoT Market Size by Application

6 Europe
6.1 Europe Embedded Real-Time Operating Systems for the IoT Market Size (2014-2019)
6.2 Embedded Real-Time Operating Systems for the IoT Key Players in Europe
6.3 Europe Embedded Real-Time Operating Systems for the IoT Market Size by Type
6.4 Europe Embedded Real-Time Operating Systems for the IoT Market Size by Application

7 China
7.1 China Embedded Real-Time Operating Systems for the IoT Market Size (2014-2019)
7.2 Embedded Real-Time Operating Systems for the IoT Key Players in China
7.3 China Embedded Real-Time Operating Systems for the IoT Market Size by Type
7.4 China Embedded Real-Time Operating Systems for the IoT Market Size by Application

8 Japan
8.1 Japan Embedded Real-Time Operating Systems for the IoT Market Size (2014-2019)
8.2 Embedded Real-Time Operating Systems for the IoT Key Players in Japan
8.3 Japan Embedded Real-Time Operating Systems for the IoT Market Size by Type
8.4 Japan Embedded Real-Time Operating Systems for the IoT Market Size by Application

9 Southeast Asia
9.1 Southeast Asia Embedded Real-Time Operating Systems for the IoT Market Size (2014-2019)
9.2 Embedded Real-Time Operating Systems for the IoT Key Players in Southeast Asia
9.3 Southeast Asia Embedded Real-Time Operating Systems for the IoT Market Size by Type
9.4 Southeast Asia Embedded Real-Time Operating Systems for the IoT Market Size by Application

10 India
10.1 India Embedded Real-Time Operating Systems for the IoT Market Size (2014-2019)
10.2 Embedded Real-Time Operating Systems for the IoT Key Players in India
10.3 India Embedded Real-Time Operating Systems for the IoT Market Size by Type
10.4 India Embedded Real-Time Operating Systems for the IoT Market Size by Application

11 Central & South America
11.1 Central & South America Embedded Real-Time Operating Systems for the IoT Market Size (2014-2019)
11.2 Embedded Real-Time Operating Systems for the IoT Key Players in Central & South America
11.3 Central & South America Embedded Real-Time Operating Systems for the IoT Market Size by Type
11.4 Central & South America Embedded Real-Time Operating Systems for the IoT Market Size by Application

12 International Players Profiles
12.1 AMD
12.1.1 AMD Company Details
12.1.2 Company Description and Business Overview
12.1.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.1.4 AMD Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.1.5 AMD Recent Development
12.2 Amperex Technology Ltd. (ATL)
12.2.1 Amperex Technology Ltd. (ATL) Company Details
12.2.2 Company Description and Business Overview
12.2.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.2.4 Amperex Technology Ltd. (ATL) Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.2.5 Amperex Technology Ltd. (ATL) Recent Development
12.3 Atari
12.3.1 Atari Company Details
12.3.2 Company Description and Business Overview
12.3.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.3.4 Atari Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.3.5 Atari Recent Development
12.4 Atmel Corporation
12.4.1 Atmel Corporation Company Details
12.4.2 Company Description and Business Overview
12.4.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.4.4 Atmel Corporation Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.4.5 Atmel Corporation Recent Development
12.5 Blackberry Ltd
12.5.1 Blackberry Ltd Company Details
12.5.2 Company Description and Business Overview
12.5.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.5.4 Blackberry Ltd Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.5.5 Blackberry Ltd Recent Development
12.6 Emerson Network Power
12.6.1 Emerson Network Power Company Details
12.6.2 Company Description and Business Overview
12.6.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.6.4 Emerson Network Power Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.6.5 Emerson Network Power Recent Development
12.7 ENEA
12.7.1 ENEA Company Details
12.7.2 Company Description and Business Overview
12.7.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.7.4 ENEA Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.7.5 ENEA Recent Development
12.8 Express Logic, Inc.
12.8.1 Express Logic, Inc. Company Details
12.8.2 Company Description and Business Overview
12.8.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.8.4 Express Logic, Inc. Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.8.5 Express Logic, Inc. Recent Development
12.9 Google
12.9.1 Google Company Details
12.9.2 Company Description and Business Overview
12.9.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.9.4 Google Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.9.5 Google Recent Development
12.10 Huawei
12.10.1 Huawei Company Details
12.10.2 Company Description and Business Overview
12.10.3 Embedded Real-Time Operating Systems for the IoT Introduction
12.10.4 Huawei Revenue in Embedded Real-Time Operating Systems for the IoT Business (2014-2019)
12.10.5 Huawei Recent Development
12.11 IBM
12.12 IXYS Corporation
12.13 Johnson Controls Inc.
12.14 Johnson Matthey
12.15 LG Chem
12.16 Linux
12.17 Microchip Technology
12.18 Microsoft
12.19 NEC
12.20 Nuvoton
12.21 NXP Semiconductors
12.22 OAR corporation
12.23 OpenWSN
12.24 Panasonic Corp.
12.25 Samsung
12.26 Segger Microcontroller Systems
12.27 Sharp
12.28 SHHIC
12.29 Silicon Labs
12.30 Spansion

13 Market Forecast 2019-2025
13.1 Market Size Forecast by Regions
13.2 United States
13.3 Europe
13.4 China
13.5 Japan
13.6 Southeast Asia
13.7 India
13.8 Central & South America
13.9 Market Size Forecast by Product (2019-2025)
13.10 Market Size Forecast by Application (2019-2025)

14 Analyst’s Viewpoints/Conclusions

15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Disclaimer
15.3 Author Details

1.1 Methodology/Research Approach

Our research methodology implements a mix of primary as well as secondary research. Our projects are initiated with secondary research, where we refer to a variety of sources including trade databases; government published documents, investor presentations, company annual reports, white papers, and paid databases.

1.1.1 Research Programs/Design

1.1.2 Market Size Estimation

Post the initial data mining stage, we gather our findings and analyse them, filtering out relevant insights. These are evaluated across teams and by our in-house SMEs. Along with data mining, we also initiate the primary research phase in which we interact with companies operating within the market space.

To evaluate the wholeness of the market, we interact (via email or telephone) with players who are responsible in adding value to the final product. Additionally, we interact with related industries to understand the external factors that can drive/hamper a market. We also make it a point to evaluate various economic parameters, which typically, have an impact on the purchasing choices of individuals as well as companies.

Post these stages, data are cross-verified with the companies that operate in a market space. It is important for us to study these companies in detail, to understand their existing performance and future strategies which will define the market in the coming years.

All this data is collected and evaluated by our analysts. Post the preparation of the report and data analysis, the findings are presented to our in-house experts who then eliminate discrepancies (if any).

  • The key players in the industry and markets have been identified through extensive secondary research.
  • The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
  • All percentage shares splits, and breakdowns have been determined using secondary sources and verified through primary sources.

1.2 Data Source

1.2.1 Secondary Sources

In the secondary research process, various secondary sources, such as D&B Hoovers, Bloomberg BusinessWeek, and Factiva, have been referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; regulatory bodies; trade directories; and databases.

List of secondary sources include but are not limited to:

  • Academic Journals
  • Census.gov
  • Bloomberg
  • Company Annual Report
  • Hoovers

1.2.1.1 Preliminary data mining

Raw market data is obtained and collated on a broad front. Data is continuously filtered to ensure that only validated and authenticated sources are considered. In addition, data is also mined from a host of reports in our repository, as well as a number of reputed paid databases. For comprehensive understanding of the market, it is essential to understand the complete value chain and in order to facilitate this; we collect data from raw material suppliers, distributors as well as buyers.

Technical issues and trends are obtained from surveys, technical symposia and trade journals. Technical data is also gathered from intellectual property perspective, focusing on white space and freedom of movement. Industry dynamics with respect to drivers, restraints, pricing trends are also gathered. As a result, the material developed contains a wide range of original data that is then further cross-validated and authenticated with published sources.

1.2.2 Primary Sources

This is the final step in estimating and forecasting for our reports. Exhaustive primary interviews are conducted, on face to face as well as over the phone to validate our findings and assumptions used to obtain them. Interviewees are approached from leading companies across the value chain including suppliers, technology providers, domain experts and buyers so as to ensure a holistic and unbiased picture of the market. These interviews are conducted across the globe, with language barriers overcome with the aid of local staff and interpreters. Primary interviews not only help in data validation, but also provide critical insights into the market, current business scenario and future expectations and enhance the quality of our reports. All our estimates and forecast are verified through exhaustive primary research with Key Industry Participants (KIPs) which typically include:

  • Market leading companies
  • Raw material suppliers
  • Product distributors
  • Buyers

The key objectives of primary research are as follows:

  • To validate our data in terms of accuracy and acceptability
  • To gain an insight in to the current market and future expectations

1.2.3 Statistical model

Our market estimates and forecasts are derived through simulation models. A unique model is created customized for each study. Gathered information for market dynamics, technology landscape, application development and pricing trends is fed into the model and analyzed simultaneously. These factors are studied on a comparative basis, and their impact over the forecast period is quantified with the help of correlation, regression and time series analysis. Market forecasting is performed via a combination of economic tools, technological analysis, and industry experience and domain expertise.

Econometric models are generally used for short-term forecasting, while technological market models are used for long-term forecasting. These are based on an amalgamation of technology landscape, regulatory frameworks, economic outlook and business principles. A bottom-up approach to market estimation is preferred, with key regional markets analyzed as separate entities and integration of data to obtain global estimates. This is critical for a deep understanding of the industry as well as ensuring minimal errors. Some of the parameters considered for forecasting include:

  • Market drivers and restrains, along with their current and expected impact
  • Raw material scenario and supply v/s price trends
  • Regulatory scenario and expected developments
  • Current capacity and expected capacity additions up to 2026

We assign weights to these parameters and quantify their market impact using weighted average analysis, to derive an expected market growth rate.

1.2.4 Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and sub segments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and sub segment, the data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying several factors and trends from both the demand and supply sides.

1.2.5 Report Objectives

  • To define, describe, and forecast the market by segmentations, and region
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To analyze the sub-segments with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze opportunities in the market for stakeholders and provide the competitive landscape of the market
  • To forecast the revenues of the market segments with respect to the major regions, such as North America, Europe, Asia Pacific (APAC), and RoW
  • To profile the key players and comprehensively analyze their recent developments and positioning in the market
  • To analyze competitive developments, such as mergers and acquisitions, new product developments, and Research and Development (R&D) activities, in the market
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Specs
Release date:September 26, 2019
Last updated:January 1, 1970
File Type:PDF
Category:Machinery & Equipment
Number Of Pages:100-150
Specs
Release date:September 26, 2019
Last updated:January 1, 1970
File Type:PDF
Category:Machinery & Equipment
Number Of Pages:100-150

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