The global embedded computing market is estimated to account US$ 32.09 Bn in 2018 and is expected to grow at a CAGR of 8.7% during the forecast period 2019 – 2027, to account to US$ 67.29 Bn by 2027.
Geographically, Asia-Pacific holds the largest embedded computing market share, owing to rapid technological developments, and numerous investments in the APAC countries. The Asia-Pacific market for embedded systems and solutions is also largely driven by factors such as growing internet of things (IoT), substantial growth in consumer electronics demand, rising connected cars market, and growing usage of robotics. Ever-increasing consumer electronics industry in the Asia Pacific is expected to provide a promising growth to the region in the embedded systems market during the forecast period. The region accounts for the major consumer electronics share in the global market, with China being the biggest country. Customer demand for advanced products along with emerging economies in the region is anticipated to offer a sound growth to the Asia Pacific. This factor is escalating the growth of the revenue size of embedded computing market in the Asia Pacific region. This as a result has positively impacted embedded computing market
North America holds the second highest market share in the embedded computing market. The primary reason for the growth of embedded computing market is the The US is a major global leader in technology and associated equipment and controls. Most of the demand for embedded computing comes from the automobile and electronics manufacturing industries. This scope is facilitating the applications to adopt this technology, thereby creating a substantial market for the same at present, which is projecting a positive growth on the embedded computing market. Similarly, The growth in the consumer electronics, automotive electronics, and communication technology is increasing the demand for advanced technologies with an objective to gather real-time information. The country has foreseen the tremendous growth in myriad industries that also includes the transportation equipment industry, food processing industry, and petroleum and coal products industry. Canada has several industrial automation companies which are specialized in operating ICT industries throughout the country. For instance, IBM Microelectronics signed an agreement with Juniper Networks, Inc. for designing, manufacturing, selling, and purchasing of semiconductor products which includes ASIC. Furthermore, in 2019, Intel Corporation today announced the acquisition of Omnitek, a leading provider of optimized video and vision FPGA IP solutions. Omnitek’s technology enables customized high-performance vision and artificial intelligence (AI) inferencing capabilities on FPGAs for customers across a range of end markets. These market initiatives and strategic expansions are expected to continue during the forecast period, contributing to the high growth of embedded computing market in the region.
Lucrative Regional Embedded Computing Market
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Embedded Computing Market Insights
Automotive Industry is Expected to be the Prime Driver for the Embedded Computing Market
At present, a modern vehicle contains between 25 or 100 electronic control units (ECUs). These systems are generally portioned based on domains, namely real-time body controls and infotainment controls. The real-time body controls include a different category such as chassis control, body control, powertrain control, and active safety control. The second category, the infotainment controls, includes navigation, information management, computing, external communication, and entertainment. Embedded computing in modern vehicles is segmented into different domains, mainly differentiated by the criticality of the function executed. In general, each ECU integrates a processing element (single or multi-core processor), memory subsystems (including volatile and non-volatile), optional dedicated accelerators like cryptographic or image processing engines, power supply elements, and the interfaces to the different sensors, actuators, and network. Specific combinations are chosen depending on the requirements for each application. For example, in the body electronics domain that handles simple comfort functions like doors, access control, lighting systems, and climate control, an ECU architecture may be composed of an 8- to 32-bit micro-controller, non-volatile code memory, and network interfaces like CAN and LIN.
Machine Learning at the Edge
The theory of pushing computing closer to sensors where data is gathered is a significant point of modern embedded computing – i.e., the edge of the network. With machine/deep learning, this conception becomes even more vital to enable autonomy and intelligence at the edge. For many applications such as industrial robots and automated machinery on a factory floor to an agricultural tractor in the field, to self-guided vacuums in the home, the computation must happen locally. There can be various reasons for local processing, such as low latency, reliability, bandwidth, power consumption, and privacy. Quite an amount of applications are driving adoption of machine learning (ML), such as advanced driver assistance systems (ADAS) and self-driving cars, big-data analysis, surveillance, and improving processes from audio noise reduction to natural language processing. Thus the concept of machine learning at the edge is expected to prevail in the future application of embedded computing along with the advancement in IoT concept.
Component Segment Insights
The embedded computing market by component is segmented into microprocessors, microcontrollers, application-specific integrated circuits (ASICs), digital signal processors, field programmable gate arrays (FPGAs), memory, software, and others. The growing consumption of consumer electronics, alongside the demand for higher performance and greater functionalities, is driving the global microcontroller market. The increasing focus on the implementation of energy-efficient devices in both process and discrete industries is expected to create a significant demand for microcontrollers during the forecast period. These factors resulted in the steady growth of embedded computing market.
Industry Vertical Segment Insights
Both new as well as existing industrial equipment can leverage embedded systems for optimizing manufacturing processes. With the rapid developments in the microprocessor, machine control as well as machine monitoring are continuously evolving and enabling more embedded system logic, scalability, and control. Also, the high adoption of Industry 4.0 has influenced market growth positively and thereby, catalyzing the market size of embedded computing market. Thus, these factors are driving the adoptions of these embedded computing across various industry vertical.
Rest of Asia Pacific Embedded Computing Market by Industry Vertical
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Embedded Computing Market: Strategic Insights
Market Size Value in US$ 32.09 Billion in 2018 Market Size Value by US$ 67.29 Billion by 2027 Growth rate CAGR of 8.7% from 2019-2027 Forecast Period 2019-2027 Base Year 2019
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Embedded Computing Market: Strategic Insights
| Market Size Value in | US$ 32.09 Billion in 2018 |
| Market Size Value by | US$ 67.29 Billion by 2027 |
| Growth rate | CAGR of 8.7% from 2019-2027 |
| Forecast Period | 2019-2027 |
| Base Year | 2019 |
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Some of the market initiatives were observed to be most adopted strategy in the global embedded computing market. Few of the recent market initiatives are listed below:
- 2019:Advantech announced the introduction of Palm Size Embedded System EPC-U2117, which enhances the CPU performance by 30% as well as boost the graphic performance by 45%.
- 2018:Intel Corporation partnered with Micron Technology, Inc. to complete joint development for the second generation of 3D XPoint technology.
- 2017:Intel Corporation launched the world’s first commercially available 64-layer, TLC, 3D NAND solid state drive.
- 2016:Qualcomm launches Snapdragon 600E and 410E.
GLOBAL EMBEDDED COMPUTING MARKET SEGMENTATION
Global Embedded Computing Market – By Component
- Microprocessors
- Microcontrollers
- Application-Specific Integrated Circuits (ASICs)
- Digital Signal Processors
- Field Programmable Gate Arrays (FPGAS)
- Memory
- Software
- Others
Global Embedded Computing Market – By Industry Vertical
- Automotive
- Industrial
- Consumer Electronics
- Transport
- Government & Enterprise
- Communication
- Others
Global Embedded Computing Market – By Geography
- North America
- U.S.
- Canada
- Mexico
- Europe
- France
- Germany
- Italy
- UK
- Spain
- Rest of Europe
- Asia Pacific (APAC)
- Taiwan
- China
- India
- Japan
- South Korea
- Rest of APAC
- Middle EAST & Africa (MEA)
- South Africa
- UAE
- Saudi Arabia
- Rest of Middle East & Africa
- South America
- Brazil
- Argentina
- Rest of SAM
Global Embedded Computing Market - Company Profiles
- Advantech Co., Ltd.
- Arms Holdings
- Fujitsu
- IBM Corporation
- Intel Corporation
- Microchip Technology Inc.
- STMicroelectronics
- Qualcomm Technologies, Inc.
- Renesas Electronics Corporation
- Texas Instruments Incorporated
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Component ; Industry Vertical
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
US, Canada, Mexico, UK, Germany, Spain, Italy, France, India, China, Japan, South Korea, Australia, UAE, Saudi Arabia, South Africa, Brazil, Argentina
The List of Companies
- Advantech Co., Ltd.
- ARM Holdings PLC
- Fujitsu Limited
- International Business Machines Corporation
- Intel Corporation
- Microchip Technology Incorporated
- Qualcomm Incorporated
- Renesas Electronics Corporation
- STMicroelectronics N.V.
- Texas Instruments Incorporated
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Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
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