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2020 - 2024: Latest Development of Global AI and Big Data Analytics in Telecom Market by Top Companies | AWS, Facebook, Google, IBM Amazon, Amdocs, Apple, AT&T, Baidu, Cisco, Cloudera, Dell

05-07-2020 07:02 AM CET | IT, New Media & Software

Press release from: Business Industry Reports

AI and Big Data Analytics in Telecom

AI and Big Data Analytics in Telecom

This report provides in-depth study on the current state of the Global AI and Big Data Analytics in Telecom Market 2020-2024. Key players in the Global AI and Big Data Analytics in Telecom Market have been identified through the secondary research and their market share has been determined through primary and secondary research.

Global AI and Big Data Analytics in Telecom Market overview:

Business Industry Reports Analyst covers the Major Players data, including: shipment, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size.

Available Exclusive Sample Copy of this Report @ https://www.businessindustryreports.com/sample-request/251171 .

AI and Big Data are two of the emerging technologies that are used in Telecommunications sector extensively, helping CSPs manage, optimize and maintain not only their infrastructure, but their customer support operations as well. The Global AI and Big Data Analytics in Telecom Market are segmented on the basis of Product Type, Application, End Use Industry and Region.

On the Basis of Product Type segment, the AI and Big Data Analytics in Telecom Market is sub segmented into Cloud Based and On-Premise. Based on End Use Industry segment, the AI and Big Data Analytics in Telecom Market is sub segmented into Private and Commercial.

Some of the AI and Big Data Analytics in Telecom Market manufacturers involved in the market are AWS, Affirm, Air Europa, Airtel, Alibaba, Amazon, Amdocs, Apple, AT&T, Baidu, China Unicom, Cisco, Clarifai, Cloudera, Dell, Ericsson, Facebook, Fico, Google, Huawei, Iberia, IBM in World, effective mergers are some of the strategies adopted by the AI and Big Data Analytics in Telecom Market manufacturers. New product launches and continuous technological innovations are the AI and Big Data Analytics in Telecom Market strategies adopted by the major players.

Purchase this report online with 90 Pages, List of Tables & Figures and in-depth Table of Contents on "AI and Big Data Analytics in Telecom Market Report 2020" @ https://www.businessindustryreports.com/buy-now/251171/single .

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study.

There are several manufacturers of AI and Big Data Analytics in Telecoms in Europe and North America. In North America, the demand for AI and Big Data Analytics in Telecoms is primarily driven by the service sector. Among the countries in Asia Pacific, the demand was substantially high in developing countries such as China and India. These countries have been witnessing rapid increase in its population along with expansion of their overall economies, which has led to increase in disposable income.

Grab Your Report at an Impressive Discount @ https://www.businessindustryreports.com/check-discount/251171 .

Top Industry News:

AWS Announces General Availability of UltraWarm for Amazon Elasticsearch Service on 05 May, 2020 -- Today, Amazon Web Services, Inc. (AWS), an Amazon.com company, announced the general availability of UltraWarm for Amazon Elasticsearch Service, a new, highly performant, fully managed, low-cost warm storage tier that provides fast, interactive analytics of log data at one-tenth the cost of existing storage options. Amazon Elasticsearch Service makes it simple to collect, analyze, and visualize machine-generated log data from websites, mobile devices, and sensors. UltraWarm for Amazon Elasticsearch Service gives Elasticsearch customers a warm storage tier that both stores large amounts of data cost-effectively and provides the type of snappy, interactive experience that Elasticsearch customers expect. There are no up-front investments required to use UltraWarm, and customers pay a simple hourly rate for the storage provisioned.

As more and more applications are built using microservices, containers, and purpose-built data stores, the volume of machine-generated log data is growing exponentially. Real-time analysis of this data has become essential to customers in order to quickly resolve operational and security issues. Amazon Elasticsearch Service is a popular service for log analytics because of its ability to ingest high volumes of log data and analyze it interactively. With this explosive growth of log data, storing and analyzing months' or even years' worth of data is cost-prohibitive at scale. This has led customers to use multiple analytics tools, or delete valuable data, missing out on important insights that the longer-term data could yield.

To solve for this customer challenge, AWS built UltraWarm, which gives Elasticsearch customers a warm storage tier that both stores large amounts of data cost-effectively, and provides the type of snappy, interactive experience that Elasticsearch customers expect. Now Amazon Elasticsearch Service supports two storage tiers, hot and UltraWarm. The hot tier is used for indexing, updating, and providing the fastest access to data. UltraWarm provides a distributed cache for more frequently accessed data, while using advanced placement techniques to determine the blocks of data that are accessed less frequently, and can be moved outside of the cache to Amazon Simple Storage Service (Amazon S3). UltraWarm stores data in Amazon S3, providing up to 50% faster query execution versus competing warm-tier solutions, and 80% lower cost than the warm-tier storage from other managed Elasticsearch offerings. With UltraWarm, customers can manage current and historical log data for interactive operational analysis and visualization in a single cluster. UltraWarm is a seamless extension of the Amazon Elasticsearch Service. Customers can easily visualize search results across both their recent and longer-term operational data, all from their Kibana interface. Additionally, UltraWarm supports all of the Elasticsearch Application Programming Interfaces (APIs), tools, and features, including enterprise-grade security with fine-grained access control, encryption at rest and in flight, integrated alerting, SQL querying, and more. This allows developers, DevOps engineers, and InfoSec experts to use Amazon Elasticsearch Service for the analysis of recent (weeks) and longer-term (months or years) operational data without needing to spend days restoring data from archives (Amazon S3 or Amazon Glacier) to an active searchable state in an Elasticsearch cluster.

"Our customers tell us that log data offers a wealth of operational and security insights, but that the storage of log data quickly adds up, and proves cost-prohibitive over the medium and long term," said Raju Gulabani, VP of Databases and Analytics, AWS. "UltraWarm is the most cost-effective Elasticsearch-compatible storage solution available. It is also performance-optimized, so customers can investigate and interactively visualize their data while they embrace data at scale."

Table of Contents:

1 AI and Big Data Analytics in Telecom Product Definition
2 Global AI and Big Data Analytics in Telecom Market Manufacturer Share and Market Overview
2.1 Global Manufacturer AI and Big Data Analytics in Telecom Shipments
2.2 Global Manufacturer AI and Big Data Analytics in Telecom Business Revenue
2.3 Global AI and Big Data Analytics in Telecom Market Overview
3 Manufacturer AI and Big Data Analytics in Telecom Business Introduction
3.1 AWS AI and Big Data Analytics in Telecom Business Introduction
3.1.1 AWS AI and Big Data Analytics in Telecom Shipments, Price, Revenue and Gross profit 2014-2019
3.1.2 AWS AI and Big Data Analytics in Telecom Business Distribution by Region
3.1.3 AWS Interview Record
3.1.4 AWS AI and Big Data Analytics in Telecom Business Profile
3.1.5 AWS AI and Big Data Analytics in Telecom Product Specification
3.2 Affirm AI and Big Data Analytics in Telecom Business Introduction
3.2.1 Affirm AI and Big Data Analytics in Telecom Shipments, Price, Revenue and Gross profit 2014-2019
3.2.2 Affirm AI and Big Data Analytics in Telecom Business Distribution by Region
3.2.3 Interview Record
3.2.4 Affirm AI and Big Data Analytics in Telecom Business Overview
3.2.5 Affirm AI and Big Data Analytics in Telecom Product Specification
3.3 Air Europa AI and Big Data Analytics in Telecom Business Introduction
3.3.1 Air Europa AI and Big Data Analytics in Telecom Shipments, Price, Revenue and Gross profit 2014-2019
3.3.2 Air Europa AI and Big Data Analytics in Telecom Business Distribution by Region
3.3.3 Interview Record
3.3.4 Air Europa AI and Big Data Analytics in Telecom Business Overview
3.3.5 Air Europa AI and Big Data Analytics in Telecom Product Specification
3.4 Airtel AI and Big Data Analytics in Telecom Business Introduction
3.5 Alibaba AI and Big Data Analytics in Telecom Business Introduction
3.6 Amazon AI and Big Data Analytics in Telecom Business Introduction
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BusinessindustryReports.com is digital database of comprehensive market reports for global industries. As a market research company, we take pride in equipping our clients with insights and data that holds the power to truly make a difference to their business. Our mission is singular and well-defined - we want to help our clients envisage their business environment so that they are able to make informed, strategic and therefore successful decisions for themselves.

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