Welcome!

Apache Authors: Elizabeth White, Pat Romanski, Liz McMillan, Christopher Harrold, Janakiram MSV

News Feed Item

Global Embedded Software Market 2014-2018

LONDON, Aug. 13, 2014 /PRNewswire/ -- Reportbuyer.com has added a new market research report:

Global Embedded Software Market 2014-2018

https://www.reportbuyer.com/product/787828/Global-Embedded-Software-Market-2014-2018.html

About Embedded Software

Embedded software is computer programming written on computer chips that is applied in real-time systems like teller machines, missiles, and airplanes. Moreover, it is software which is combined or stored in computer hardware or a peripheral device. This software is usually developed for special-purpose hardware that uses real-time operating systems such as LynxOS, VxWorks, Linux (with patched kernel), ThreadX, Windows CE, Fusion RTOS, and Integrity. Once embedded and implemented into hardware, the software cannot be altered by a user.
TechNavio's analysts forecast the Global Embedded Software market will grow at a CAGR of 8.79 percent over the period 2013-2018.

Covered in this Report

The Global Embedded Software market can be divided into six segments based on end-user into Communication, Consumers, Industrial, Automotive, Computing Devices, and Others. The report discusses the overall revenue generated from the sale of embedded software solutions to these sectors.
TechNavio's report, the Global Embedded Software Market 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas and the EMEA and APAC regions; it also covers the Global Embedded Software market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key Regions

• Americas
• EMEA
• APAC

Key Vendors

• Enea AB
• GreenHills Software Inc.
• Intel Corp.
• Microsoft Corp.

Other Prominent Vendors

• Advantech Co. Ltd.
• Emersion Network Power Inc.
• IBM Corp.
• Microchip Technology Inc.
• Mitsubishi Electric Corp.
• National Instruments Corp.
• NEC Corp.
• Radisys Corp.
• STMicroelectronics NV
• Toshiba Corp.
• Via Technologies Inc.

Key Market Driver

• Increasing Demand for Smartphones and Tablets.
• For a full, detailed list, view our report.

Key Market Challenge

• Issues with Data Security and Data Privacy.
• For a full, detailed list, view our report.

Key Market Trend

• Increasing Demand in Consumer Electronics Segment.
• For a full, detailed list, view our report.

Key Questions Answered in this Report

• What will the market size be in 2018 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?
You can request one free hour of our analyst's time when you purchase this market report. Details are provided within the report.

01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Landscape
06.1 Market Overview
06.2 Market Size and Forecast of Embedded Hardware Market
06.3 Market Size and Forecast of Embedded Software Market
06.4 Five Forces Analysis
07. Market Segmentation by Programming Languages
08. TechNavio Survey Results

09. Market Segmentation by End-users
10. Geographical Segmentation
11. Key Leading Countries
11.1 USA
11.2 Japan
11.3 Germany
12. Buying Criteria
13. Market Growth Drivers
14. Drivers and their Impact
15. Market Challenges
16. Impact of Drivers and Challenges
17. Market Trends
18. Trends and their Impact
19. Vendor Landscape
19.1 Competitive Scenario
19.2 Market Share Analysis 2013
19.3 Other Prominent Vendors
20. Key Vendor Analysis
20.1 ENEA AB
20.1.1 Business Overview

20.1.2 Business Segmentation
20.1.3 Key Information
20.1.4 SWOT Analysis
20.2 Green Hills Software
20.2.1 Business Overview
20.2.2 Business Segmentation
20.2.3 Key Information
20.2.4 SWOT Analysis
20.3 Intel Corp.
20.3.1 Business Overview
20.3.2 Business Segmentation
20.3.3 Key Information
20.3.4 SWOT Analysis
20.4 Microsoft Corp.
20.4.1 Business Overview
20.4.2 Business Segmentation
20.4.3 Key Information
20.4.4 SWOT Analysis
21. Other Reports in this Series

List of Exhibits

Exhibit 1: Market Research Methodology
Exhibit 2: Global Embedded Systems Market by Application 2013
Exhibit 3: Applications of Embedded Systems
Exhibit 4: Global Embedded Hardware Market 2013-2018 (US$ billions)
Exhibit 5: Global Embedded Software Market 2013-2018 (US$ billions)
Exhibit 6: Global Embedded Software Market by Programming Languages 2013
Exhibit 7: Global Embedded Software Market by Operating Environment 2013
Exhibit 8: Global Embedded Software Market Revenue by Application 2013
Exhibit 9: Global Embedded Software Market by Geographical Segmentation 2013
Exhibit 10: Global Embedded Software market 2013-2018 (US$ billions)
Exhibit 11: Business Segmentation of ENEA AB
Exhibit 12: Revenue Segmentation by Geography 2013
Exhibit 13: Business Segmentation by Products
Exhibit 14: Business Segmentation of Intel Corp.
Exhibit 15: Revenue Segmentation by Business Segmentation
Exhibit 16: Business Segmentation of Microsoft Corp.

Read the full report:
Global Embedded Software Market 2014-2018

https://www.reportbuyer.com/product/787828/Global-Embedded-Software-Market-2014-2018.html

For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: [email protected]  
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

SOURCE ReportBuyer

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...