Welcome!

News Feed Item

86% CAGR - Neuromorphic Computing Market Growth Potentially Worth $272.9 Million by 2022 Led by North America

The neuromorphic computing market is forecast to reach $272.9 million by 2022 from $6.6 million in 2016 at a CAGR of 86.0% during (2016-2022) driven by increasing demand for artificial intelligence and machine learning, need for better performing ICs and

PUNE, India, Sept. 25, 2016 /PRNewswire-iReach/ -- Increasing adoption of software for various applications expected to drive the growth of the neuromorphic computing market. Increasing adoption of software, due to its applications such as continuous online learning, real-time data streaming, predictive analysis, and data modeling, in video monitoring, machine vision, and voice identification applications is expected to be a major driving factor for the growth of the market. Lack of R&D investments and lack of knowledge about neuromorphic computing among consumers are the major restraints of neuromorphic computing market. Complete report on "Neuromorphic Computing Market" spread across 163 pages, profiling 08 companies and supported with 70 tables and 68 figures is now available at http://www.rnrmarketresearch.com/neuromorphic-computing-market-by-offering-hardware-software-application-image-recognition-signal-recognition-data-mining-industry-aerospace-defense-it-telecom-automotive-medical-industrial-and-ge-st-to-2022-market-report.html .

Photo - http://photos.prnewswire.com/prnh/20160922/410845LOGO

Image recognition application holds the largest share of the neuromorphic computing market for the aerospace & defense industry. Image recognition application holds the largest share of the neuromorphic computing market for the aerospace. Various approaches to allow neuromorphic computing to learn algorithms are based on the image recognition technology. Aerospace & defense is the largest application area for image recognition since it is used for surveillance and security, tracking, and targeting and in drones. Growth in the market for image recognition is expected to be driven by the increasing adoption of drones and UAVs. Video monitoring and machine vision are the major factors driving the growth of the market for image recognition.

This research study is obliging for following audience:

  1. Fabless manufacturers
  2. Pure-play semiconductor foundries
  3. Research laboratories in universities
  4. Government institutions
  5. Research organizations
  6. Forums, alliances, and associations
  7. Industries such as aerospace & defense, automotive, IT & telecom, industrial, and medical, among others

The neuromorphic computing market in North America grows at the highest rate in the coming years. High awareness pertaining to the benefits of neuromorphic computing in various industries such as aerospace, military & defense and medical is a major driver for the growth of the neuromorphic computing market in North America. The U.S. being the leading country in the adoption of artificial intelligence for machine learning, natural language processing (NLP), image processing, and speech recognition across industries such as healthcare and automotive & transportation is driving the growth of the neuromorphic computing market in North America.

Major players operating in the neuromorphic computing market include IBM Corp.(U.S.), HP Corp. (U.S.), Samsung Electronics Ltd. (South Korea), Intel Corp. (U.S.), HRL Laboratories, LLC (U.S.), General Vision Inc. (U.S.), Applied Brain Research Inc. (U.S.), and BrainChip Holdings Ltd. (U.S.). Make an Inquiry on "Neuromorphic Computing Market by Offering (Hardware, Software), Application (Image Recognition, Signal Recognition, Data Mining), Industry (Aerospace & Defense, IT & Telecom, Automotive, Medical & Industrial) and Geography - Global Forecast to 2022" research report at http://www.rnrmarketresearch.com/contacts/inquire-before-buying?rname=696522 .

In the process of determining and verifying, the market size for several segments and sub segments gathered through secondary research, extensive primary interviews were conducted with key people. In Tier 1 (35%), Tier 2 (40%) and Tier 3 (25%) companies were contacted for primary interviews. The interviews were conducted with various key people such as C-level Executives (45%), Directors (35%) and Managers (20%) from various key organizations operating in the neuromorphic computing market. The primary interviews were conducted worldwide covering regions such as North America (40%), Europe (30%), APAC (20%) and RoW (10%).

On a related note, another research titled Image Recognition Market Global Forecast To 2022 says, the global image recognition market to grow from USD 12.49 billion in 2015 to USD 29.98 billion by2020, at a CAGR of 19.1%. Asia-Pacific (APAC) is expected to become one of the major adopters of image recognition techniques by 2020. Increasing demand for data analytics will create new opportunities in this market. Companies such as Qualcomm Technologies, NEC Corporation, Google, Inc., LTU Technologies, Catchoom Technologies S.L., Honeywell International, Inc., Hitachi Ltd., SLYCE Holding, Inc, WIkitudeGmbh and Attrasoft, Inc. have been profiled in this 138 pages research report available at http://www.rnrmarketresearch.com/image-recognition-market-by-technology-pattern-recognition-by-component-hardware-software-service-by-application-marketing-and-advertising-by-deployment-type-on-premises-and-cloud-by-industry-vertical-st-to-2022-market-report.html .

About Us:

RnRMarketResearch.com is your single source for all market research needs. Our database includes 500,000+ market research reports from over 100+ leading global publishers & in-depth market research studies of over 5000 micro markets. With comprehensive information about the publishers and the industries for which they publish market research reports, we help you in your purchase decision by mapping your information needs with our huge collection of reports.

Connect with Us:

G+ / Google Plus: https://plus.google.com/104156468549256253075/posts

Twitter: https://twitter.com/RnRMR

Facebook: https://www.facebook.com/pages/RnR-Market-Research/413488545356345

RSS / Feeds: http://www.rnrmarketresearch.com/feed

Media Contact: Ritesh Tiwari, RnR Market Research, +1-888-391-5441, [email protected]

News distributed by PR Newswire iReach: https://ireach.prnewswire.com

SOURCE RnR Market Research

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.

Latest Stories
Serverless Architecture is the new paradigm shift in cloud application development. It has potential to take the fundamental benefit of cloud platform leverage to another level. "Focus on your application code, not the infrastructure" All the leading cloud platform provide services to implement Serverless architecture : AWS Lambda, Azure Functions, Google Cloud Functions, IBM Openwhisk, Oracle Fn Project.
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Intel is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley. It is the world's second largest and second highest valued semiconductor chip maker based on revenue after being overtaken by Samsung, and is the inventor of the x86 series of microprocessors, the processors found in most personal computers (PCs). Intel supplies processors for computer system manufacturers such as Apple, Lenovo, HP, and Dell. Intel also manufactu...
Serverless applications increase developer productivity and time to market, by freeing engineers from spending time on infrastructure provisioning, configuration and management. Serverless also simplifies Operations and reduces cost - as the Kubernetes container infrastructure required to run these applications is automatically spun up and scaled precisely with the workload, to optimally handle all runtime requests. Recent advances in open source technology now allow organizations to run Serv...
In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework. It's clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. Th...
The benefits of automated cloud deployments for speed, reliability and security are undeniable. The cornerstone of this approach, immutable deployment, promotes the idea of continuously rolling safe, stable images instead of trying to keep up with managing a fixed pool of virtual or physical machines. In this talk, we'll explore the immutable infrastructure pattern and how to use continuous deployment and continuous integration (CI/CD) process to build and manage server images for any platform....
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust tha...
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder. Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. This...
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 ...
Is advanced scheduling in Kubernetes achievable?Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, answered these questions and demonstrated techniques for implementing advanced scheduling. For example, using spot instances and co...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Public clouds dominate IT conversations but the next phase of cloud evolutions are "multi" hybrid cloud environments. The winners in the cloud services industry will be those organizations that understand how to leverage these technologies as complete service solutions for specific customer verticals. In turn, both business and IT actors throughout the enterprise will need to increase their engagement with multi-cloud deployments today while planning a technology strategy that will constitute a ...
Using serverless computing has a number of obvious benefits over traditional application infrastructure - you pay only for what you use, scale up or down immediately to match supply with demand, and avoid operating any server infrastructure at all. However, implementing maintainable and scalable applications using serverless computing services like AWS Lambda poses a number of challenges. The absence of long-lived, user-managed servers means that states cannot be maintained by the service. Lo...