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Global Satellite Data Service Market Report (2022 to 2027) – Industry Trends, Share, Size, Growth, Opportunity and Forecasts

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Dublin, June 13, 2022 (GLOBE NEWSWIRE) — The “Satellite Data Service Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027” report has been added to ResearchAndMarkets.com’s offering.

The global satellite data service market reached a value of US$ 6.5 billion in 2021. Looking forward, the market is projected to reach US$ 17.82 billion by 2027, exhibiting a CAGR of 18.3% during 2022-2027. Keeping in mind the uncertainties of COVID-19, the analyst is continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different End-use industries. These insights are included in the report as a major market contributor.

Satellite data service delivers high-speed wireless bandwidth data connection from space. It uses radio waves to transmit, receive, and retrieve data through a communication network. It is widely used in remote and small areas wherein high-speed Internet and data access are not easily available.

Nowadays, businesses worldwide rely on satellite data service solutions to provide reliable and dedicated services for remote satellite Internet access and other applications, including email, file sharing, web hosting, data backup, video, and virtual private network (VPN) access. It also enables businesses in to carry voice, video, or other data services around the world.

Satellite Data Service Market Trends

The increasing dependence on smartphones, in confluence with the escalating demand for high-speed Internet services, represents one of the key factors impelling the market growth. Moreover, the emerging trend of vlogging and travel and tourism in remote establishments is driving the need for satellite data services to obtain reliable Internet at affordable prices.

Apart from this, due to rising concerns about climatic changes, environmental degradation, and disaster monitoring, researchers are relying on satellite and airborne data to assess changing environmental impacts, which result from modified human behavior patterns.

Furthermore, with rising geopolitical tensions and increasing security concerns, defense agencies of numerous countries are deploying commercial satellite imaging to get information that strengthens defense operations and security services. Besides this, major market players are introducing commercial satellite data services that can detect ground conditions at night with radar imagery. This further assists in delivering unique, reliable monitoring capabilities to civil and defense organizations across the globe.

Additionally, these players are offering satellite data services incorporated with artificial intelligence (AI) and machine learning (ML) that can help in the development of smart cities and connected vehicles. These innovations are anticipated to create a positive market outlook.

Key Market Segmentation

This report provides an analysis of the key trends in each sub-segment of the global satellite data service market, along with forecasts at the global, regional and country level from 2022-2027. The report has categorized the market based on service, application and vertical.

Breakup by Service:

  • Data Analytics
  • Image Data

Breakup by Application:

  • Scientific
  • Administrative
  • Commercial

Breakup by Vertical:

  • Defence and Security
  • Energy and Power
  • Agriculture
  • Environmental
  • Engineering and Infrastructure
  • Marine
  • Others

Breakup by Region:

  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

Competitive Landscape

The competitive landscape of the industry has also been examined along with the profiles of the key players being Airbus SE, Ceinsys Tech Limited, Geospatial Intelligence Pyt. Ltd., Gisat S.R.O., ICEYE, L3harris Technologies Inc., Maxar Technologies Inc., Planet Labs Inc., Satellite Imaging Corporation, Telstra Corporation Limited, Trimble Inc. and Ursa Space Systems Inc.

Key Questions Answered in This Report

  • How has the global satellite data service market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global satellite data service market?
  • What are the key regional markets?
  • What is the breakup of the market based on the service?
  • What is the breakup of the market based on the application?
  • What is the breakup of the market based on the vertical?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global satellite data service market and who are the key players?
  • What is the degree of competition in the industry?

Key Topics Covered:

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Introduction
4.1 Overview
4.2 Key Industry Trends

5 Global Satellite Data Service Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast

6 Market Breakup by Service
6.1 Data Analytics
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Image Data
6.2.1 Market Trends
6.2.2 Market Forecast

7 Market Breakup by Application
7.1 Scientific
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Administrative
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Commercial
7.3.1 Market Trends
7.3.2 Market Forecast

8 Market Breakup by Vertical
8.1 Defence and Security
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Energy and Power
8.2.1 Market Trends
8.2.2 Market Forecast
8.3 Agriculture
8.3.1 Market Trends
8.3.2 Market Forecast
8.4 Environmental
8.4.1 Market Trends
8.4.2 Market Forecast
8.5 Engineering and Infrastructure
8.5.1 Market Trends
8.5.2 Market Forecast
8.6 Marine
8.6.1 Market Trends
8.6.2 Market Forecast
8.7 Others
8.7.1 Market Trends
8.7.2 Market Forecast

9 Market Breakup by Region

10 SWOT Analysis

11 Value Chain Analysis

12 Porters Five Forces Analysis

13 Price Analysis

14 Competitive Landscape
14.1 Market Structure
14.2 Key Players
14.3 Profiles of Key Players
14.3.1 Airbus SE
14.3.1.1 Company Overview
14.3.1.2 Product Portfolio
14.3.1.3 Financials
14.3.1.4 SWOT Analysis
14.3.2 Ceinsys Tech Limited
14.3.2.1 Company Overview
14.3.2.2 Product Portfolio
14.3.2.3 Financials
14.3.3 Geospatial Intelligence Pyt. Ltd.
14.3.3.1 Company Overview
14.3.3.2 Product Portfolio
14.3.4 Gisat S.R.O.
14.3.4.1 Company Overview
14.3.4.2 Product Portfolio
14.3.5 ICEYE
14.3.5.1 Company Overview
14.3.5.2 Product Portfolio
14.3.6 L3harris Technologies Inc.
14.3.6.1 Company Overview
14.3.6.2 Product Portfolio
14.3.6.3 Financials
14.3.7 Maxar Technologies Inc.
14.3.7.1 Company Overview
14.3.7.2 Product Portfolio
14.3.7.3 Financials
14.3.8 Planet Labs Inc.
14.3.8.1 Company Overview
14.3.8.2 Product Portfolio
14.3.9 Satellite Imaging Corporation
14.3.9.1 Company Overview
14.3.9.2 Product Portfolio
14.3.10 Telstra Corporation Limited
14.3.10.1 Company Overview
14.3.10.2 Product Portfolio
14.3.10.3 Financials
14.3.10.4 SWOT Analysis
14.3.11 Trimble Inc.
14.3.11.1 Company Overview
14.3.11.2 Product Portfolio
14.3.11.3 Financials
14.3.11.4 SWOT Analysis
14.3.12 Ursa Space Systems Inc.
14.3.12.1 Company Overview
14.3.12.2 Product Portfolio

For more information about this report visit https://www.researchandmarkets.com/r/2vhw87

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Artificial Intelligence

Appian Signs a Strategic Collaboration Agreement with AWS to Deliver Private AI for End-to-End Process Automation

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Collaboration leverages Amazon Bedrock and Sagemaker to power Appian’s Data Fabric with generative AI capabilities
MCLEAN, Va., April 16, 2024 /PRNewswire/ — Appian (Nasdaq: APPN) announced today that it has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to make generative artificial intelligence (AI) more accessible to enterprise business processes. Appian will invest significant resources to find novel ways to combine Appian’s native AI capabilities and the Appian data fabric with the large language models (LLMs) provided by Amazon Bedrock and machine learning (ML) capabilities from Amazon SageMaker. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies via a single API, along with a broad set of capabilities organizations need to build generative AI applications with security, privacy, and responsible AI. Amazon SageMaker is a service to build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows.

Appian is designed to automate mission-critical business processes in some of the most innovative, highly regulated, and security-sensitive industries. These customers want to leverage AI while maintaining the security of their data. They also face shortages of data scientists and increasing information technology (IT) backlogs. Appian’s private AI approach gives enterprises control over their own data and makes sure their data is not used to train public models that other organizations can use. Appian’s low-code AI process platform with its Appian AI Skills capability enables customers to easily incorporate AI into business processes, letting AI and humans work together seamlessly.
“Appian’s collaboration with AWS takes a major leap forward with this announcement,” said Michael Beckley, CTO at Appian. “The AI economy is here and it will quickly create a strong competitive advantage for organizations that know how to use it. Enterprises that upgrade their core business processes with AI and Appian’s data-driven insights will thrive while those that fail to do so will lose control of their data and their future. Amazon Bedrock is an important enabler for our private AI vision. Together, we give organizations the ability to effortlessly use AI for process automation with data privacy and security at the forefront.”
“The Appian AI Skill Designer helps us get real value from AI without needing a team of data scientists to figure it out. The no-code design made it quick and easy for our developers to incorporate AI into our existing applications,” said Matt Richard, CIO at LiUNA.
By harnessing the capabilities of Amazon Bedrock, Appian gains the ability to host LLMs within customer compliance boundaries and privately customize those models, ensuring that sensitive data remains secure and confidential. Amazon SageMaker allows Appian customers to create, train, and fine tune proprietary AI models using their own data. As AWS AI and ML services are designed with security and privacy best practices, Appian customers can leverage their data to receive more accurate and relevant results from their generative AI applications based on the unique needs of their businesses.
“Companies deeply care about security and privacy, especially when leveraging AI. This collaboration between AWS and Appian helps customers streamline mission-critical business processes confidently by leveraging AI and machine learning in a secure and compliant manner,” said Chris Grusz, Managing Director of Technology Partnerships at AWS.
Learn more about Appian’s relationship with AWS and its vision for generative AI-powered developer experiences.
About AppianAppian is a software company that automates business processes. The Appian AI Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world’s most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences. For more information, visit appian.com. [Nasdaq: APPN]
Follow Appian: LinkedIn, Twitter.
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Artificial Intelligence

GAC TECH DAY 2024: Groundbreaking Innovations Redefine Automotive Excellence

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GUANGZHOU, China, April 16, 2024 /PRNewswire/ — On April 12, GAC TECH DAY 2024 took center stage at the GAC Research Institute in Guangzhou, China, under the theme “See the World with New Vision.” The conference was attended by approximately 260 foreign and domestic media outlets and distinguished guests, including relevant Guangdong Province and Guangzhou City leaders, Zeng Qinghong, Chairman of GAC Group, and Feng Xingya, President of GAC Group.

On the day, GAC, a trailblazer in automotive advancements, unveiled several groundbreaking technologies set to revolutionize the driving experience.
First, the Garcia Intelligent Driving System, a pioneering pure vision-based intelligent driving solution devoid of maps, promises a seamless and immersive driving experience. Unlike traditional systems reliant on high-precision maps and LiDAR, Garcia leverages visual sensors and AI algorithms to perceive the world with human-like precision. With three leading capabilities in visual recognition, Garcia offers unparalleled accuracy and reliability in complex traffic scenarios.
GAC also announced key breakthroughs in its all-solid-state power battery technology, setting a new standard for energy density, safety, and capacity. The innovative battery promises extended ranges exceeding 1000km and enhanced safety under extreme conditions. 
Both innovations are set for mass production and deployment by 2026.
In addition to technological breakthroughs, GAC showcased a range of advanced technologies and user-centric products, including electromagnetic suspension, skateboard chassis, and GOVE, the company’s first eVTOL mobility solution that has already completed its maiden flight this March.
GAC’s new iGLCA intelligent light commercial vehicle segment—MIRACO Motor—also made its official debut at GAC TECH DAY 2024 with the release of its flagship model “MiraLounge”. Primarily designed for passenger transport services, the vehicle allows for the separation of cabin and driving compartment to achieve a multi-model derivation through “MiraBoard 2.0” technology. The vehicle supports L2 to L4 level intelligent driving and is scheduled to hit the market in the fourth quarter of 2024. 
The event also marked the launch of the Welfare Edition of E9, GAC’s luxury PHEV MPV. The new version of the 7-seater caters to users with mobility challenges with its unique detachable electric seat.
GAC’s relentless pursuit of innovation underscores its vision to reshape the automotive landscape and drive sustainable growth. With a focus on technology-driven development, GAC aims to continue pushing the boundaries of automotive excellence, setting new benchmarks for the industry.
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Artificial Intelligence

SQream’s No-Code Platform Panoply Earns 21 G2 Badges in Key Customer Satisfaction Categories for Spring 2024 Report

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These badges demonstrate Panoply’s Continuously Unparalleled Excellence in data warehousing and data extraction based on compiled user reviews
NEW YORK, April 16, 2024 /PRNewswire/ — SQream, the GPU accelerated data processing and analytics company, announced today the remarkable achievement that its no-code ELT and analytics platform Panoply, has received 21 prestigious G2 badges for Spring 2024. These accolades highlight Panoply’s continued commitment to excellence and innovation in the data warehouse and ELT (Extract, Load, Transform) space, and underscores Panoply’s dedication to their customers, particularly in the realm of ease of use, and marks the highest number of badges awarded to the company in one report to date.

G2, a prominent authority in business software and service evaluations, leverages the collective knowledge of its user community to aid individuals in making well-informed choices regarding software and services for their enterprises. The G2 Spring 2024 Report rankings underscore Panoply’s significance to small- and medium-sized businesses grappling with data extraction challenges and highlight the exceptional simplicity of Panoply’s no-code approach.
“We are truly honored to receive 21 G2 badges, which reflect Panoply’s year-on-year growth in customer satisfaction. Simplifying data management in the no-code ELT space is at the core of our commitment to our customer base, and we are thrilled to see that Panoply’s exceptional solutions driving data transformation consistently receive this trusted stamp of approval,” said Ami Gal, CEO and Co-Founder of SQream. “We look forward to advancing our strategy of delivering robust data management solutions across all business types—from SMBs leveraging Panoply for streamlined cloud-based warehousing to enterprises implementing GPU-accelerated analytics with SQream, both in the cloud and on-prem. Our commitment remains to empower every organization to maximize their data potential and drive business success.”
Panoply has consistently set the industry standard for delivering user-friendly solutions that empower organizations to harness the full potential of their data. In the Spring 2024 G2 reports, Panoply earned badges in a wide array of categories, both for their data warehouse capabilities and ETL tools, showcasing its exceptional performance and dedication to simplifying complex data processes, including:
Data Warehouse Category: 
Best Estimated ROIBest Estimated ROI – Mid-MarketBest Support – Small BusinessEasiest AdminEasiest Admin – Mid-MarketEasiest Admin – Small BusinessEasiest Setup – Mid-MarketEasiest to Do Business With – Small BusinessEasiest to UseEasiest to Use – Small BusinessFastest Implementation – Small BusinessHigh PerformerHigh Performer – Asia PacificHigh Performer – EMEAHigh Performer – Mid-MarketHigh Performer – Small BusinessETL Tools Category: 
Easiest AdminEasiest SetupHigh PerformerHigh Performer – Mid-MarketHigh Performer – Small BusinessPanoply’s no-code approach to data management provides greater visibility into business performance by aggregating data from multiple data sources to deliver deeper insights. With Panoply, organizations can automatically store raw data in analysis-ready tables, create core business logic to keep metrics consistent, and explore and visualize their data within the platform’s workbench. Deploying a consolidated storage solution like Panoply also centralizes access to data assets to provide a single source of truth.
If you want to learn more about how Panoply can help you gain fast data insights, visit https://panoply.io and schedule a demo.
About Panoply by SQream
Panoply’s managed data warehouse plus ELT and dashboards make it easy for users to sync, store, access, and visualize their data without complex code. Panoply is a product line of SQream, specializing in data processing and analytics acceleration, revolutionizing the way organizations approach big data analytics and AI/ML workloads with its unique GPU-patented SQL engine. SQream’s solutions are designed to meet the needs of enterprises grappling with massive or complex datasets, offering unparalleled performance, scalability, and cost-efficiency. Tailored for industries ranging from finance to telecommunications, SQream empowers businesses to unlock actionable insights from their data with unprecedented speed and efficiency.
SQream is trusted by leading enterprises including LG Electronics, Samsung Display, Sinch, Orange, AIS, and more. To learn more, visit sqream.com or follow us on Twitter @sqreamtech.
Media Contact:Raz KaplanSenior Marketing Manager at SQream+972 [email protected]
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