Welcome!

News Feed Item

Remote Sensing Services Market Worth 21.62 Billion USD by 2022

PUNE, India, October 30, 2017 /PRNewswire/ --

The report "Remote Sensing Services Market by Platform (Satellites, UAVs, Manned Aircraft, and Ground), End User (Defense and Commercial), Resolution (Spatial, Spectral, Radiometric, and Temporal), and Region - Global Forecast to 2022", published by MarketsandMarkets™, the market is estimated to be USD 10.68 Billion in 2017 and is projected to reach USD 21.62 Billion by 2022, at a CAGR of 15.14% during the forecast period. The increasing use of remote sensing services in defense and commercial applications is one of the most significant factors driving the growth of the remote sensing services market. Furthermore, the introduction of Big Data analytics in remote sensing and growth of the cloud computing market are anticipated to fuel the demand for remote sensing services.

     (Logo: http://photos.prnewswire.com/prnh/20160303/792302 )

Browse 75 Market Data Tables and 45 Figures spread through 155 Pages and in-depth TOC on "Remote Sensing Services Market"

http://www.marketsandmarkets.com/Market-Reports/remote-sensing-services-market-87605355.html

Early buyers will receive 10% customization on this report 

Based on platform, the satellites segment is expected to lead the remote sensing services market during the forecast period 

Based on platform, the satellites segment is expected to lead the remote sensing services market during the forecast period, owing to the increased demand for Earth observation satellites. These satellites are intended for monitoring of the Earth's surface to obtain valuable information for mapping, mineral exploration, land-use planning, resource management, and other activities.

Download PDF Brochure @ http://www.marketsandmarkets.com/pdfdownload.asp?id=87605355

The UAVs segment of the remote sensing services market is anticipated to grow at the highest CAGR during the forecast period 

Based on platform, the UAVs segment of the remote sensing services market is expected to grow at the highest CAGR from 2017 to 2022. UAVs are considered to be the most preferred remote sensing platform. UAV-based remote sensing services are used for large-scale mapping, real-time assessment, and monitoring activities of various applications, such as precision farming, 3D terrain model construction, damage assessment, geohazard mapping, and mineral exploration.

North America is projected to account for the largest share of the remote sensing services market in 2017 

North America is estimated to lead the remote sensing services market in 2017. Increasing demand for remote sensing services in various sectors, such as oil & gas, mineral exploration, agriculture, energy & power, earth observation, search & rescue, weather forecasting, scientific research, forest industry, and oceanography is anticipated to drive the growth of the remote sensing services market in North America. In addition, remote sensing services facilitate the collection of multi-source imagery data used in Geographic Information Systems (GIS) as well as for damage assessment and environmental monitoring, which, in turn, is anticipated to contribute to the growth of the remote sensing services market in this region.

Inquiry Before Buying @ http://www.marketsandmarkets.com/Enquiry_Before_Buying.asp?id=87605355

Antrix Corporation (India), DigitalGlobe (US), EKOFASTBA (Spain), Geo Sense (Malaysia), Mallon Technology (UK), Remote Sensing Solutions (Germany), SpecTIR (US), Satellite Imaging Corporation (US), Terra Remote Sensing (Canada), The Airborne Sensing Corporation (Canada), and The Sanborn Map Company (US) are leading players in the remote sensing services market.

Browse Related Reports 

Drone Services Market by Industry (Infrastructure, Agriculture, Entertainment, Logistics), Application (Aerial Photography & Remote Sensing, Data Acquisition & Analytics), Type of Drone, Duration of Service, and Region - Global Forecast to 2022

http://www.marketsandmarkets.com/Market-Reports/drone-services-market-80726041.html

Small Satellite Market by Type (Nanosatellite, Microsatellite, Minisatellite), End User (Civil, Defense, Commercial), Application (Earth Observation & Meteorology, Communication, Scientific Research & Exploration), and Region - Global Forecast to 2022

http://www.marketsandmarkets.com/Market-Reports/small-satellite-market-150947396.html

Subscribe Reports from Aerospace Domain @ http://www.marketsandmarkets.com/Knowledgestore.asp

About MarketsandMarkets™  

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 5000 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model - GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets' flagship competitive intelligence and market research platform, "RT" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact:
Mr. Rohan
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA: +1-888-600-6441
Email: [email protected]

Visit Our [email protected] http://mnmblog.org/market-research/aerospace-defence
Connect with us on LinkedIn @ http://www.linkedin.com/company/marketsandmarkets

SOURCE MarketsandMarkets

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
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.