Robust Growth Visible for CDN Security Market 2021-2025 | Leading Key Players - AWS, Microsoft, Radware

Overview of Global CDN Security Market:

This report provides in-depth study of “Global CDN Security Market 2021” using SWOT analysis i.e. Strength, Weakness, Opportunities, and Threat to the organization. The CDN Security Market report also provides an in-depth survey of key players in the market organization.

According to the market research study, CDN’s have been used to improve web performance through localized caching, for the last two decades. The growth in mobile engagement and the demands of improved digital experience delivery are now pushing CDN providers to expand their performance-enhancing techniques to address the challenges of dynamic content, mobile, video, as well as serving as the first line of defense against security threats. 5G is expected to fuel the demand for CDN security services. The deployment of 5G infrastructure will result in greater bandwidth, which will trigger greater demand of high quality video services.

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Some of the most important key factors driving the growth of the Global CDN Security Market are increasing need to mitigate increasing DDoS attacks and growing penetration of connected things & enterprise mobility trends among enterprises have increased the deployment of CDN security, increasing need for effective solutions to enable live and uninterrupted content delivery over a high-speed data network, increasing demand for enhanced QoE (Quality of Experience) and QoS (Quality of Service), a proliferation of video and rich media over websites, rising demand for enhanced video content and latency-free online gaming experience, and growing internet penetration and adoption of mobile devices leading to rising opportunities for mobile CDN.

Through the statistical analysis, the report depicts the international CDN Security Market including capacity, production, production value, cost/profit, supply/demand and global import/export. The total market is further divided by company, by country, and by application/type for the competitive landscape analysis. The report then estimates 2020-2025 market development trends of CDN Security industry. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.

In the end, the report makes some important proposals for a new project of CDN Security Market before evaluating its feasibility. Overall, the report provides an in-depth insight of 2013-2025 global CDN Security market covering all important parameters.

Global Key Vendors:

1 Anufacturing & Automotive

2 Cloudflare

3 Stackpath

4 Limelight Networks

5 Amazon Web Services

6 Microsoft

7 Radware

8 Arbor Networks

9 Nexusguard

10 Distil Networks

11 Verizon Digital Media Services

12 Chinacache and More……………….

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Product Type Segmentation

1 DDOS Protection

2 Web Application Firewall (Waf)

3 Bot Mitigation & Screen Scraping Protection

4 Data Security

5 DNS Protection

Industry Segmentation

1 Media, Entertainment, and Gaming

2 E-Commerce, Retail & Consumer Goods

3 It & Telecommunication

4 Banking, Financial Services & Insurance (Bfsi)

5 Public Sector

Global Business News:

Amazon Web Services (AWS) (February 24, 2021) - AWS Announces General Availability of Amazon Lookout for Vision - Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, announced the general availability of Amazon Lookout for Vision, a new service that analyzes images using computer vision and sophisticated machine learning capabilities to spot product or process defects and anomalies in manufactured products. By employing a machine learning technique called “few-shot learning,” Amazon Lookout for Vision is able to train a model for a customer using as few as 30 baseline images. Customers can get started quickly using Amazon Lookout for Vision to detect manufacturing and production defects (e.g. cracks, dents, incorrect color, irregular shape, etc.) in their products and prevent those costly errors from progressing down the operational line and from ever reaching customers. Together with Amazon Lookout for Equipment, Amazon Monitron, and AWS Panorama, Amazon Lookout for Vision provides industrial and manufacturing customers with the most comprehensive suite of cloud-to-edge industrial machine learning services available. With Amazon Lookout for Vision, there is no up-front commitment or minimum fee, and customers pay by the hour for their actual usage to train the model and detect anomalies or defects using the service.

In today’s manufacturing industry, production line shutdowns due to missed defects or quality inconsistencies can result in millions of dollars of cost overruns and lost revenue every year. To avoid these expensive issues, industrial companies must maintain constant diligence to ensure quality control. Quality assurance in industrial processes typically requires human inspection, which can be tedious and inconsistent at best, or at worst, infeasible. Computer vision brings the speed and accuracy needed to identify defects consistently; however, implementing traditional computer vision solutions can be complex. Building computer vision models from scratch requires large amounts of carefully labeled images for each element of the manufacturing process. Then, teams of data scientists need to build, train, deploy, monitor, and fine tune computer vision models to analyze each individual phase of the product inspection process. Even small changes in the manufacturing process (e.g. replacing an out of stock component with an equivalent alternative, updates to the product specifications, or a change in lighting) means having to retrain and redeploy the individual model and perhaps other models downstream in the production process, which is tedious, complex, and time consuming. Because of these barriers, computer vision-powered visual anomaly systems remain out of reach for the vast majority of companies.

Amazon Lookout for Vision offers customers a highly accurate, low-cost anomaly detection solution that uses computer vision to process thousands of images an hour to spot defects and anomalies – with no machine learning experience required. Customers send camera images to Amazon Lookout for Vision in real-time to identify anomalies, such as damage to a product’s surface, missing components, and other irregularities in production lines. Utilizing a machine learning technique called few-shot learning (where the machine learning model is able to classify data based on a very small amount of training data), the service needs as few as 30 images of the acceptable and anomalous state as a baseline to begin assessing machine parts or manufactured products.

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Major Points in Table of Contents:

Global CDN Security Market Report 2021

1 CDN Security Product Definition

2 Global CDN Security Market Manufacturer Share and Market Overview

2.1 Global Manufacturer CDN Security Shipments

2.2 Global Manufacturer CDN Security Business Revenue

2.3 Global CDN Security Market Overview

3 Manufacturer CDN Security Business Introduction

3.1 Anufacturing & Automotive CDN Security Business Introduction

3.2 Cloudflare CDN Security Business Introduction

3.3 Stackpath CDN Security Business Introduction

3.4 Limelight Networks CDN Security Business Introduction

3.5 Amazon Web Services CDN Security Business Introduction

3.6 Microsoft CDN Security Business Introduction

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