Welcome!

News Feed Item

Research and Markets: Global Smart/Intelligent Sensors Market 2013-2019: Smart Image, Touch, Temperature, Pressure & Position Sensors Analysis

Research and Markets (http://www.researchandmarkets.com/research/5rbvhh/smartintelligent) has announced the addition of the "Smart/Intelligent Sensors Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2013 - 2019" report to their offering.

Driven by continuous growth in sales of smartphones, tablets, cars and others devices, global market for smart/intelligent sensors was valued at USD 9.0 billion in 2012 and is expected to reach USD 21.60 billion by 2019, growing at a CAGR of 12.2% during the forecast period from 2013 to 2019. Smart/intelligent sensors are now being incorporated in devices such as smartphones, cars and medical equipment enabling them provide advanced features.

Increasing demand of smartphones, tablets and PCs among others has additionally supported the market growth. The adoption of smart/intelligent sensors is increasing in various industries such as medical, automotive, industrial, consumer electronics and infrastructure among others. The growth of smart/intelligent sensors can be attributed to the growing application in transportation and logistics. The ever increasing demand of the mobile devices such as smartphones and tablets has led to the inclusion of sensors such as image and touch sensors making the devices more advanced than its predecessors. The growing demand of such sensors in military and defense has also contributed to the growth of the smart sensors market.

Geographically, Europe held the largest share in the smart/intelligent sensors market in 2012. The demand for smart sensors in Europe is primarily driven by the medical industry that has set high standards in the field of health care. Some of the automobile manufacturers based in Europe are supporting the demand for smart/intelligent sensors in the region. Some of the Europe based automobile manufacturers are Volkswagen, Toyota, BMW, Ford and Renault among others.

North America followed Europe in terms of geographical market share. The growth in the region is attributed to the growing demand of consumer electronics and advanced medical equipments in the region. The market in this region is also supported by the automobile industry which has set strict regulations related to cars. Additionally, other end user segments such as infrastructure, industrial and avionics among others are also contributing to the growth of the smart/intelligent sensors in the region.

The global smart/intelligent sensors market is segmented as below:

Product types

  • Image sensors
  • Touch sensors
  • Smart temperature sensors
  • Smart pressure sensors
  • Smart position sensors

End user

  • Industrial
  • Medical
  • Automotive
  • Consumer electronics
  • Infrastructure
  • Others (Avionics, food & beverage)

Key Topics Covered:

  1. Preface
  2. Executive Summary
  3. Market overview
  4. Global Smart/Intelligent Sensors Market Analysis, by Product
  5. Smart/Intelligent Sensors Market Analysis, by Application
  6. Global Smart/intelligent Sensors Market Analysis and Forecast, by Geography
  7. Company Profiles
  • Analog Devices, Inc.
  • Custom Sensors & Technologies, Inc.
  • Delphi Automotive PLC
  • Eaton Corporation plc
  • Emerson Process Management LLLP
  • Infineon Technologies AG
  • Omron Corp
  • Vishay Intertechnology, Inc.
  • Wilcoxon Research, Inc.
  • Yokogawa Electric Corp

For more information visit http://www.researchandmarkets.com/research/5rbvhh/smartintelligent

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
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...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
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 ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
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...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
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...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
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.