#Endpoint Security Market Market Analysis

[businessintelligenceinsightsblog]

As per Business Intelligence Insights (BII) study, the global Global Endpoint Security Market attained revenue growth of USD 13.40 billion in 2021 and it is projected to reach around USD 21.2 billion by 2030, growing at a 7.90% CAGR.

[ottscrap]

Future of OTT App Scraping

The Over-The-Top (OTT) media industry has seen exponential growth in recent years, driven by the increasing demand for digital content and the rise of streaming platforms. As we look ahead to 2025 and beyond, OTT app scraping is poised to become an even more critical tool for businesses, analysts, and researchers seeking to understand and capitalize on this dynamic sector. This article explores the future of scraping OTT app data, focusing on emerging trends, technological advancements, and the implications for stakeholders in the industry.

Overview OTT App Scraping

OTT app scraping refers to extracting data from OTT platforms such as Netflix, Amazon Prime ,Video Disney+, and Hulu. This data can include a wide range of information, such as content metadata (titles, genres, release dates), user reviews, ratings, and viewing statistics. Streaming data is extracted to gather valuable insights that inform business strategies, content acquisition, and market analysis.

The need for robust scraping tools and techniques will grow as OTT platforms evolve. Several key factors, including technological advancements, regulatory changes, and shifts in consumer behavior, will shape the future of extracting OTT app data.

Emerging Trends in OTT App Scraping

Advanced-Data Extraction Techniques

The future of OTT app scraping services will see the implementation of more advanced data extraction techniques. Traditional scraping methods, which rely on static web pages and HTML structures, will evolve to accommodate the increasing complexity of modern OTT platforms. Dynamic content, JavaScript rendering, and APIs will necessitate more sophisticated scraping solutions.

Headless browsers and browser automation tools like Puppeteer and Selenium will become more prevalent. These tools allow interaction with dynamic content and facilitate data extraction from platforms that rely on complex JavaScript. APIs will also play a crucial role. Many OTT platforms provide APIs for accessing content and user data, which can be leveraged to streamline the scraping process. However, as platforms become more stringent about API access, finding and utilizing these endpoints will require advanced skills and strategies.

Increased Focus on Personalization and Recommendations

Personalization has become a hallmark of the OTT experience, with platforms using sophisticated algorithms to tailor content recommendations to individual users. As OTT platforms invest heavily in personalization, OTT data scraper must adapt to capture data on how these algorithms function and influence user behavior. Machine learning and artificial intelligence(AI) will be employed to analyze scraping data and derive insights about recommendation systems. By understanding how personalization affects content consumption, businesses can better predict viewer preferences and optimize content strategies.

Integration of Multi-Source Data

OTT platforms are not the only sources of valuable data. Social media, forums, and review sites provide additional insights into viewer preferences and industry trends. Future OTT app data scraping will increasingly involve integrating data from multiple sources to create a comprehensive market view. Sentiment analysis and social listening tools will gauge audience reactions to content and identify emerging trends. By combining data from OTT platforms with social media insights, businesses can gain a more holistic understanding of viewer preferences and behavior.

Enhanced Data Privacy and Security Measures

As data privacy concerns continue to rise, OTT platforms will likely implement stricter security measures to protect user information. This will impact how data is scraped and used, necessitating advancements in data anonymization and compliance practices. Scraping tools must incorporate features that ensure data is collected and processed by privacy regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Ensuring ethical and legal compliance will be critical for maintaining trust and avoiding potential legal issues.

Real-Time Data Processing and Analytics

The demand for real-time insights is growing, driven by the need to make swift decisions in a rapidly changing market. Future OTT app scraping will focus on real-time data processing and analytics to provide up-to-the-minute insights into content performance, user engagement, and market trends. Stream processing frameworks such as Apache Kafka and Apache Flink will become essential for handling and analyzing large volumes of data in real time. These technologies will enable businesses to adapt their strategies quickly based on the latest information.

Technological Advancements Shaping the Future

1. Artificial Intelligence and Machine Learning

AI and machine learning will play a pivotal role in the evolution of OTT app scraping. These technologies will enhance the ability to analyze and interpret complex data sets, uncovering patterns and trends that may not be immediately apparent.

Natural Language Processing (NLP) will analyze text data from user reviews and social media, providing deeper insights into audience sentiment and content reception. Image recognition and video analysis technologies will also extract data from visual content, adding another layer of depth to scraping efforts.

2. Blockchain Technology

Blockchain technology has the potential to revolutionize streaming data scraping by providing a secure and transparent way to track data usage and ownership. In the context of OTT app scraping, blockchain could be used to ensure data integrity and prevent unauthorized access. Smart contracts and decentralized applications (dApps) could facilitate more secure and efficient data transactions, while blockchain’s immutable ledger would enhance transparency and accountability.

3. Cloud Computing and Big Data

Cloud computing will continue to play a significant role in managing and processing the large volumes of data generated by OTT platforms. Cloud-based scraping tools and big data solutions will enable businesses to scale their data collection efforts and handle complex data processing tasks more efficiently.

Data lakes and warehouses will store and manage vast amounts of scraped data, while cloud-based analytics platforms will provide the computational power needed to derive actionable insights.

4. Enhanced User Interface and Experience

Future OTT scraping tools will feature more advanced and user-friendly interfaces, allowing users to easily configure scraping tasks, visualize data, and generate reports. Drag-and-drop interfaces, visual data exploration tools, and customizable dashboards will make it easier for users to interact with and analyze their data.

Automated reporting and alerting systems will also be integrated, providing users with real-time updates and notifications based on predefined criteria or data anomalies.

Implications for Stakeholders

1. Content Providers and Distributors

For content providers and distributors, OTT app scraping will offer valuable insights into market trends and viewer preferences. They can make informed decisions about content acquisition, distribution, and marketing by analyzing data on content performance, pricing strategies, and competitor offerings.

Content optimization and pricing strategies can be tailored based on data-driven insights, leading to more effective content strategies and improved ROI.

2. Marketers and Advertisers

Marketers and advertisers will benefit from scraping data that reveals how viewers interact with content and respond to advertisements. Understanding audience preferences and behavior can create more targeted and effective advertising campaigns.

Ad placement strategies and content promotion efforts can be optimized based on data-driven insights, leading to better engagement and higher conversion rates.

3. Researchers and Analysts

Researchers and analysts will use scraped data to study industry trends, consumer behavior, and the impact of emerging technologies. The ability to access and analyze large volumes of data will enable more comprehensive and accurate research.

The availability of detailed and up-to-date data will enhance market research and competitive analysis, leading to more informed conclusions and recommendations.

4. Regulators and Policymakers

Regulators and policymakers must stay informed about the implications of OTT app scraping for data privacy and security. As data scraping becomes more prevalent, ensuring compliance with privacy regulations and addressing potential ethical concerns will be essential.

Regulatory frameworks and guidelines must be updated to reflect the evolving landscape of data scraping, protect user privacy, and support innovation.

Conclusion

The future of OTT app scraping holds immense potential for transforming how businesses, researchers, and analysts interact with and leverage data from streaming platforms. As we move towards 2025 and beyond, technological advancements, changes in consumer behavior, and evolving regulatory landscapes will shape how data is collected, analyzed, and utilized. By staying ahead of these trends and embracing new technologies, stakeholders can harness the power of OTT app scraping to gain valuable insights, drive strategic decisions, and maintain a competitive edge in the ever-evolving world of digital media. The journey towards a more data-driven and informed future is just beginning, and the opportunities are as vast as the data itself.

Embrace the potential of OTT Scrape to unlock these insights and stay ahead in the competitive world of streaming!

Source -

[educationtech]

10 Myths of Edge Computing — ACEIT

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Myth 1: Edge computing means the end of the cloud

Far from ending the cloud, edge computing is an extension of the cloud, moving data processing closer to the source of data generation. Edge computing reduces the amount of raw data sent to the cloud, optimizing bandwidth usage and cloud processing costs. It also enables real-time data processing for applications requiring low latency.

Myth 2: Edge computing disrupts the convergence of IT and OT

On the contrary, edge computing bridges the information technology (IT) and operational technology (OT) worlds. It facilitates seamless integration and communication between these traditionally distinct areas. Edge computing enables data from OT devices to be efficiently collected, pre-processed, and forwarded to cloud-based IT systems for further analysis.

Myth 3: Edge computing is only relevant for industrial use cases

While edge computing has seen widespread adoption in industries like manufacturing, energy, mining, and transportation, it also benefits many other sectors. For example, edge computing enables asset tracking, supply chain optimization, and cashierless payment in retail. Edge computing also drives innovation in government, healthcare, and financial services.

Myth 4: Edge computing is a single thing

Edge computing is neither a single entity nor market, but rather a way of recasting infrastructure boundaries beyond the data center depending on the use case, industry, or business function. The edge could be looked at as a location between the core (corporate or cloud data center) and the endpoints (smart sensors, devices, things) where the digital and physical worlds intersect.

Myth 5: Edge computing is new

While the concept of edge computing is not novel, advances in technology have made it more plausible and powerful. The cost of computing devices and sensors has fallen, more computing power is contained in smaller devices, and there's been an explosion in the volume of data generated and collected. New analytics tools make it possible to sort through this data more efficiently and economically.

Myth 6: Edge computing is a cloud killer

Cloud computing isn't going anywhere. Edge and cloud are complementary technologies. Cloud vendors will sell edge hardware and software that extend capabilities to various edges. However, edge computing does offer a new competitor to cloud vendors because other vendors like telcos and CDNs are offering edge cloud services.

Myth 7: IoT edge devices present a security risk

Modern IoT security solutions are increasingly based on the root-of-trust (RoT) technique, where cryptographic security algorithms are hosted and protected from physical attack in a hardened environment. The combination of hardware and software security subsystems ensures a strong defense against malicious attacks throughout the lifecycle of the application.

Myth 8: Edge processing can't support real-time applications

Emerging IoT applications like autonomous automobiles, industrial robotics, and remote tele-surgery require real-time responsiveness. Enhanced intelligence at the edge enables more local decision-making, resulting in near real-time responsiveness, and empowering a new generation of advanced applications.

Myth 9: Machine learning is confined to the data center

Machine learning (ML) techniques have matured, enabling ML models to be deployed in the cloud, with associated inferencing tasks being downloaded to edge devices. ML software stacks on the edge device benefit from advanced hardware acceleration. Cloud providers are also providing IoT software development kits (SDKs) that make it easier to connect to the cloud from an IoT device.

Myth 10: Edge devices will quickly be rendered obsolete by future wireless protocols

The various wireless communications protocols are governed by established standards bodies that manage the evolution of the respective standards to ensure backward compatibility. Furthermore, with increasing proportions of the functionality being implemented in software stacks, upgrades between versions can be accomplished by over-the-air (OTA) downloads. In conclusion, while edge computing is a transformative technology that empowers businesses to unlock their full potential, it is important to understand the realities behind the common misconceptions surrounding it. By addressing these myths, businesses can fully embrace the benefits offered by edge computing in today's digital landscape.

[global-market-statistics]

Endpoint Security Market Size, Share, Trend, Forecast, & Growth Analysis: 2024-2032

Endpoint Security Market 2024 Report: A Comprehensive Analysis of Historical and Current Market Trends with Strategic Insights.

Analysis of the global "Endpoint Security Market" shows that the market will develop steadily and strongly between 2024 and 2032, and projections indicate that this growth will continue through 2032. The increasing demand from consumers for ecologically friendly and sustainable products is a noteworthy development in the Endpoint Security Market. To improve the effectiveness and caliber of products in the Endpoint Security Market, technology has also been used much more frequently.

➼ Market Capacity:

Between 2017 and 2023, the Endpoint Security Market's value increased significantly, from US$ million to US$ million. With a compound annual growth rate (CAGR) predicted to reach US$ million by 2032, this momentum is anticipated to continue. An extensive analysis explores consumer preferences and purchasing patterns in this industry, broken down by type (Trend Micro (Japan), Eset (U.S.), Symantec (U.S.), Sophos (U.K.), McAfee (U.S.)). Based on extensive research, this perceptive analysis is anticipated to be a useful tool for industry participants looking to profit from the market's remarkable anticipated compound annual growth rate (2024–2032).

➼ Key Players:

List of Endpoint Security Market PLAYERS PROFILED

The Endpoint Security Market includes several key players such as Cloud, On-Premises, Other play crucial roles in this market.

Endpoint Security Market Report Contains 2024: -

Complete overview of the global Endpoint Security Market

Top Country data and analysis for United States, Canada, Mexico, Germany, France, United Kingdom, Russia, Italy, China, Japan, Korea, India, Southeast Asia, Australia, Brazil and Saudi Arabia, etc. It also throws light on the progress of key regional Endpoint Security Markets such as North America, Europe, Asia-Pacific, South America and Middle East and Africa.

Description and analysis of Endpoint Security Market potentials by type, Deep Dive, disruption, application capacity, end use industry

impact evaluation of most important drivers and restraints, and dynamics of the global Endpoint Security Market and current trends in the enterprise

Value Propositions of This Market Research:

The study covers a comprehensive analysis of industry drivers, restraints, and opportunities, providing a neutral perspective on the market performance. It highlights recent industry trends and developments, offering insights into the competitive landscape and the strategies employed by key players. The study identifies potential and niche segments and regions exhibiting promising growth, supported by historical, current, and projected market size data in terms of value. An in-depth analysis of the Endpoint Security Market is included, along with an overview of the regional outlook. This holistic approach ensures a thorough understanding of the market dynamics and potential growth areas.

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Global Endpoint Security Market: SEGMENTATION ANALYSIS

The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.

➼ PRODUCTS/SERVICES:

Valuable Points from Endpoint Security Market Research Report 2024-2032:

The market for Endpoint Security Market has undergone significant changes because to changing consumer preferences, laws, and technological advancements. This dynamic business is being shaped by new product launches, mergers, and creative marketing strategies from big players. A thorough analysis of recent and historical data yields insights into the market's value, volume, historical growth, current size, and potential for the future. While competition research explores market share and strategy, segmentation by key regions exposes regional variances. The research provides practical suggestions to help you improve your position in this dynamic market and finds new niches and development possibilities across regions.

Request a Free Sample Copy

Behind the Brand In an industry characterized by rapid growth and technological advancements, economic changes occur daily. To thrive in this dynamic environment, companies must understand market trends and develop effective strategies. A well-defined strategy not only facilitates planning but also offers a competitive edge. For dependable market reports that provide essential insights to guide your business toward success, visit us at www.globalmarketstatistics.com .

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[neha24blog]

Security Automation Market Outlook On The Basis Of Offering, Deployment Mode, Application, Code Type, Vertical, Technology, Region And Forecast To 2030: Grand View Research Inc.

San Francisco, 10 Sep 2024: The Report Security Automation Market Size, Share & Trends Analysis Report By Offering, By Deployment, By Application (Network Security, Endpoint Security), By Technology, By Code Type, By Vertical, By Region, And Segment Forecasts, 2024 – 2030 The global security automation market size is expected to reach USD 22.92 billion by 2030, growing at a CAGR of 14.0% from…

[newsmarketreports]

Competitive Landscape: Analyzing Zscaler's Key Rivals

Zscaler Inc. is a leading provider of cloud security solutions, offering businesses a comprehensive platform to secure their digital transformation. With its Zero Trust Exchange architecture, Zscaler has revolutionized the way enterprises approach cybersecurity, particularly in a cloud-first world. This article provides an in-depth analysis of Zscaler's competitive landscape, highlighting the key players in the market and how Zscaler's innovative approach positions it against its competitors.

Overview of the Cloud Security Market

The cloud security market is rapidly growing, driven by the increasing adoption of cloud services and the need for robust security solutions to protect against evolving cyber threats. As organizations continue to migrate their operations to the cloud, the demand for secure access solutions, data protection, and threat intelligence has surged. In this competitive landscape, Zscaler stands out with its unique Zero Trust approach, which eliminates the need for traditional network security architectures.

Key Competitors in the Cloud Security Space

Zscaler operates in a highly competitive market, with several established players vying for market share. Some of the key competitors include:

Palo Alto Networks: A global leader in cybersecurity, Palo Alto Networks offers a broad portfolio of security solutions, including firewalls, cloud security, and endpoint protection. The company’s Prisma Access platform is a direct competitor to Zscaler, offering secure access to applications and data from anywhere.

Cisco Systems: Cisco is a well-known player in the network and cybersecurity space, offering a range of products, including secure access solutions, firewalls, and threat intelligence. Cisco's Umbrella platform competes with Zscaler's offerings, providing cloud-delivered security to protect users both on and off the corporate network.

Fortinet: Fortinet is another significant competitor, known for its integrated and automated cybersecurity solutions. Fortinet's Security Fabric platform is designed to secure all points of the digital attack surface, and its Secure SD-WAN solution competes with Zscaler's cloud security platform.

Akamai Technologies: Akamai is a key player in the content delivery and cloud security markets. Its Zero Trust Enterprise Security platform is a direct competitor to Zscaler, offering secure access to applications without the need for traditional VPNs or firewalls.

Zscaler's Competitive Advantages

Zscaler’s primary competitive advantage lies in its Zero Trust Exchange architecture, which provides a holistic approach to securing users, applications, and data in the cloud. Unlike traditional security solutions that rely on network perimeter defenses, Zscaler’s platform is designed to secure access based on the principles of Zero Trust, where no user or device is trusted by default.

Scalability and Global Reach: Zscaler’s cloud-native architecture allows it to scale rapidly and efficiently, providing seamless security for enterprises of all sizes. With data centers located across the globe, Zscaler ensures low latency and high availability, which is crucial for global enterprises.

Integration and Ecosystem: Zscaler offers robust integrations with leading cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform. This allows organizations to seamlessly integrate Zscaler’s security solutions into their existing cloud environments, enhancing their overall security posture.

Innovation and R&D: Zscaler continually invests in research and development, staying ahead of emerging threats and ensuring its platform remains at the cutting edge of cybersecurity. The company’s focus on AI and machine learning has enabled it to develop advanced threat detection and response capabilities, further strengthening its competitive position.

Challenges and Market Dynamics

While Zscaler has established itself as a leader in cloud security, it faces several challenges that could impact its market position:

Intense Competition: The cloud security market is highly competitive, with major players continuously innovating and expanding their product offerings. Zscaler must remain agile and responsive to market changes to maintain its competitive edge.

Customer Acquisition and Retention: As the market becomes more crowded, acquiring and retaining customers becomes increasingly challenging. Zscaler’s ability to demonstrate clear ROI and the value of its Zero Trust approach will be crucial in winning and keeping customers.

Regulatory Compliance: As data privacy regulations evolve globally, Zscaler must ensure its solutions comply with regional and international standards. Failure to meet these requirements could result in penalties or loss of business opportunities.

Conclusion

Zscaler Inc. is a formidable player in the cloud security market, with a strong competitive position built on its innovative Zero Trust Exchange architecture. While it faces stiff competition from established cybersecurity companies like Palo Alto Networks, Cisco Systems, and Fortinet, Zscaler’s focus on Zero Trust, scalability, and continuous innovation sets it apart in the industry. However, the company must navigate challenges such as intense competition and regulatory compliance to sustain its growth and market leadership.

[amaanyaar]

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[intellion]

Next - Gen cyber security

Introduction

Welcome and Orientation

Overview of the Next-Gen Cyber Security Skills course in Bangalore

Introduction to instructors and fellow participants

Setting goals and expectations for the course

Module 1: Foundations of Cyber Security

Understanding Cyber Security

Definition and importance of cyber security in today’s world

Current landscape and emerging threats

Cyber Security Terminology

Key terms and concepts crucial for the Bangalore cyber security course

Overview of common attack vectors and defenses

Cyber Security Frameworks and Standards

NIST Cybersecurity Framework

ISO/IEC 27001

CIS Controls and their relevance to Bangalore’s cyber security environment

Module 2: Network Security

Network Security Fundamentals

Basic networking concepts vital for Bangalore cyber security professionals

Understanding firewalls, VPNs, and IDS/IPS

Securing Network Infrastructure

Techniques for network segmentation and isolation

Secure network design and architecture

Wireless Network Security

Wireless security protocols (WPA3, WPA2)

Securing wireless access points in a Bangalore context

Module 3: Application Security

Introduction to Application Security

Common vulnerabilities (OWASP Top Ten)

Secure coding practices essential for Bangalore developers

Web Application Security

Addressing Cross-Site Scripting (XSS) and SQL Injection

Integrating secure development lifecycle (SDLC) practices

Mobile Application Security

Addressing mobile-specific threats and vulnerabilities

Best practices for securing mobile apps in the Bangalore market

Module 4: Endpoint Security

Endpoint Protection

Anti-virus and anti-malware solutions

Endpoint Detection and Response (EDR) tools

Securing Operating Systems

Hardening Windows and Linux systems

Effective patch management and software updates

BYOD and IoT Security

Managing Bring Your Own Device (BYOD) policies in Bangalore

Securing Internet of Things (IoT) devices

Module 5: Identity and Access Management (IAM)

Fundamentals of IAM

Authentication vs. Authorization

Identity lifecycle management and its application in Bangalore businesses

Access Control Mechanisms

Role-Based Access Control (RBAC)

Implementing Multi-Factor Authentication (MFA)

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Module 6: Cloud Security

Cloud Security Basics

Understanding cloud service models (IaaS, PaaS, SaaS)

Shared responsibility model for cloud security

Securing Cloud Environments

Best practices for AWS, Azure, and Google Cloud in Bangalore

Cloud security posture management

Cloud Compliance and Governance

Regulatory requirements and compliance standards applicable in Bangalore

Data protection and privacy in the cloud

Module 7: Threat Intelligence and Incident Response

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Gathering and analyzing threat data

Using threat intelligence platforms effectively

Incident Response Planning

Developing an incident response plan

Incident detection and analysis

Handling Security Incidents

Containment, eradication, and recovery strategies

Post-incident activities and lessons learned

Module 8: Security Operations and Monitoring

Security Operations Center (SOC)

Roles and responsibilities of SOC teams

Setting up and managing a SOC in Bangalore

Monitoring and Logging

Importance of logging and monitoring

Using SIEM (Security Information and Event Management) tools

Threat Hunting

Proactive threat hunting techniques

Leveraging advanced analytics and AI for threat detection

Module 9: Compliance and Legal Aspects

Understanding Cyber Security Regulations

Key regulations (GDPR, CCPA, HIPAA, etc.)

Compliance requirements for organizations in Bangalore

Legal Considerations in Cyber Security

Data breach laws and notification requirements

Intellectual property and cyber crime laws

Auditing and Assessment

Conducting security audits and assessments

Preparing for compliance audits

Module 10: Capstone Project and Certification

Capstone Project

Real-world scenario-based project

Applying learned skills to solve complex problems

Exam Preparation

Review of key concepts and practice exams

Tips and strategies for passing the certification exam

Certification and Next Steps

Receiving course completion certificate

Exploring advanced certifications and career paths

Conclusion and Course Wrap-Up

Final Q&A Session

Addressing any remaining questions

Sharing additional resources and tools

Networking and Alumni Community

Joining the course alumni network

Continued learning and professional development opportunities in Bangalore

This Next-Gen Cyber Security course in Bangalore will equip you with the knowledge and skills needed to excel in the evolving field of cyber security

[pranalip]

DNS Security Software Market – Latest Scenario with Future Trends Analysis Report 2024-2033 | Global Insight Services

“Global Insight Services offers unparalleled market intelligence and strategic consulting services to businesses worldwide. Our expertise spans across various industries, including healthcare, technology, and consumer goods, providing comprehensive analysis and actionable insights. By leveraging advanced data analytics and in-depth market research, we empower our clients to make informed decisions, identify growth opportunities, and stay ahead of the competition”.

The global DNS security software market was valued at US$ 1.2 billion in 2021 and it is anticipated to grow up to US$ 2.7 billion by 2031, at a CAGR of 8.4% during the forecast period.

Domain name system (DNS) security software is used to secure DNS servers and the websites it support. This software redirects end user web traffic through filters that identify malware signatures and other characteristics of potentially dangerous websites and media. DNS security software provides IT personnel with tools to classify websites, group devices, categorize users, and customize usage policies. Businesses use these tools to protect their employees’ endpoint devices and their own servers by blocking harmful content, media, and websites. DNS security software can also be used to prevent employees from accessing unapproved content in the workplace.

View The Full Report Here –https://www.globalinsightservices.com/reports/dns-security-software-market

Market Drivers and Trends

Cloud-based DNS security software provides multiple benefits to users through scalability, affordability, security, and resiliency, particularly by preventing Distributed Denial-Of-Service (DDoS) attacks. Benefits related to the cloud deployment of these software systems drive the DNS security software market. Additionally, cloud-based DNS helps enterprises configure the Domain Name System Security Extensions (DNSSEC), a method for authenticating DNS records and enabling protection against known attacks. Moreover, cloud-based DNS security software systems offer advanced traffic routings, facilitating round-robin, latency-based routing, geographic DNS, and geo-proximity routing to simple failover. Cloud-based DNS aid in better monitoring and visibility and make configuration changes easy and convenient for enterprises. Enterprises can scale up and down their working productivity with cloud deployment. Therefore, numerous small and medium enterprises (SMEs) believe cloud deployment to be the most effective deployment platform for DNS security software solutions.

Market Restraints and Challenges

In open source, developers take an existing Organization Size/program in the open-source market, make improvements, add features, and share their modifications with the community for everyone’s benefit. On the other side, closed source software (known as proprietary software) belongs to a company/individual that licenses the software and has sole rights to distribute the code.

While open-source software may be free to use in terms of price, furthermore, there are many other reasons open-source software can be the better choice overall for business needs, including access to a talented community of developers and the flexibility to integrate other pieces of technology within the software. Further, many good reasons why more companies are turning to open-source software exist. Firstly, expert developers continuously monitor and improve open-source software, catching and fixing bugs collaboratively. This leads to reliable, stable, and performant software that works across various environments. Secondly, open-source software is attractive for multiple businesses due to there are no up-front costs to download the code and start working with it. Thirdly, available source code leads to greater longevity and stability of the open-source product, as it can’t be phased out, such as proprietary software, which is at the mercy of a commercial vendor. Thus, the rising availability of open-source software is acting as a restraining factor for the closed source software manufacturers.

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Global DNS Security Software Market Segmentation

By Deployment Type

On-Premise

Cloud-Based

By Organization Size

SMEs

Large Enterprises

Major Players in the Global DNS Security Software Market

The key players studied in the global DNS security software market are Akamai Technologies (US), Cloudflare, Inc. (US), Comodo Security Solutions, Inc. (US), DNSFilter Inc. (US), DomainTools LLC (US), Efficient IP (US), Open Text Corporation (Canada), Palo Alto Networks Inc. (US), ScoutDNS, LLC (US), and TitanHQ (Ireland).

COVID-19 Impact

In 2020, the COVID-19 pandemic had positively impacted the growth of the DNS security software market, as millions of employees were asked to do work from home by their companies. As employees accessed corporate systems through the less-secure home and public Wi-Fi networks, the remote working practices led to a surge in queries for DNS, further increasing cyber-attacks targeting DNS and boosting the demand for DNS security software.

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Research Scope

Scope – Highlights, Trends, Insights. Attractiveness, Forecast

Market Sizing – Product Type, End User, Offering Type, Technology, Region, Country, Others

Market Dynamics – Market Segmentation, Demand and Supply, Bargaining Power of Buyers and Sellers, Drivers, Restraints, Opportunities, Threat Analysis, Impact Analysis, Porters 5 Forces, Ansoff Analysis, Supply Chain

Business Framework – Case Studies, Regulatory Landscape, Pricing, Policies and Regulations, New Product Launches. M&As, Recent Developments

Competitive Landscape – Market Share Analysis, Market Leaders, Emerging Players, Vendor Benchmarking, Developmental Strategy Benchmarking, PESTLE Analysis, Value Chain Analysis

Company Profiles – Overview, Business Segments, Business Performance, Product Offering, Key Developmental Strategies, SWOT Analysis.

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[b2b-services]

The world of enterprise technology has witnessed massive changes in the last decade. We saw the emergence of virtualization, cloud computing, big data, blockchain, and IoT, among other things. No singular decade would have witnessed so many things happening simultaneously in modern history (at least in the realms of the enterprise world).

However, so much disruption can also lead to challenges. Security is one area that finds a mention regardless of which technology one is speaking about. Security is the horizontal without which any technology discussion is incomplete.

Thanks to all the new and emerging technologies, there have been significant advancements in the enterprise space. Still, security concerns have also kept up with the frantic pace of tech development. Thanks to digital transformation and the internet, most organizations have a very high dependency on being connected with the outside world, which is excellent for business and exposes them to several security vulnerabilities. Cybersecurity attacks can undo a lot of great work that a company has done over the years.

To manage and counter such attacks, many solutions and products are available in the market. In fact, there are so many of them that the industry is facing an issue called the "problem of plenty".

In a typical enterprise, there are usually two significant challenges. First, being on top of the pile of all the available solutions in the market, understanding what their issues are and correspondingly choosing the right solutions. And the second is to nurture and retain IT talent, which will do it for a CIO or a CISO. They are a handful, leading many IT leaders to Managed Security Service partners.

Some of the benefits include the availability of leading tech experts and solutions and predictable billing hence the potential for long term cost savings. Not to forget the round the clock monitoring of organizations' IT assets (including data, applications, appliances, endpoints, networks etc.) which is reasonably daunting if managed in-house.

Once an organization decides to go for MSS, there is one more consideration. Should they go for a fully managed MSS or a co-managed MSS? Organizations with smaller IT teams are suggested they go for a fully managed model. In contrast, large organizations that have invested in human capital and built teams over the years can go in for the co-managed model.

Then comes the decision of choosing the right vendor. Again, one needs to make essential judgment calls—more about that for another analysis of the day. know more....

[trendingreportz]

Cyber Security Market - Forecast(2024 - 2030)

Cyber Security Market Overview

Cyber Security Marketsize is forecast to reach $360 billion by 2030, estimated to grow at a CAGR of 9.5% during 2024-2030. The increasing use of technology such as artificial intelligence, IoT, machine learning and so on are significantly driving the cybersecurity market. Furthermore, the increasing demand for cloud-based cybersecurity systems in order to reduce data loss are also enhancing the growth of the market. The rising demand for network and endpoint security, information technology security mobile security, behavioral detection is fueling the growth of the market during the forecast period. The telecom organizations are adopting advanced cyber security solutions such as real-time security monitoring, instant cyber posture visibility, and rapid threat resolution to prevent the cyber-attack on telecom networks. Along with the telecom sector, the aerospace industry is considered to be another key end-users to cyber security market. The aerospace and defense industry are prone to cyber-attack due to its continuous exposure to non-A&D, OT-based technologies.

Thus, this industry is adopting advanced cybersecurity solution to enhance protection against cybercrime. The rising need for solutions ranging from antivirus software, unified threat management system, next-generation firewalls, DNS filtering, malware protection and threat intelligence will drive the demand for cyber security. One prominent trend in the cyber security market is the increasing adoption of Zero Trust Architecture (ZTA). This approach challenges the traditional perimeter-based security model by assuming that threats can originate from both inside and outside the network. ZTA emphasizes strict identity verification and access controls, requiring continuous authentication and authorization for every user and device attempting to access resources. With the proliferation of cloud services, remote work, and mobile devices, organizations are realizing the limitations of perimeter defenses alone. As a result, they are turning to ZTA to bolster their defenses and mitigate the risks associated with insider threats, unauthorized access, and advanced persistent threats. 

The growing recognition of ZTA's effectiveness in enhancing security posture is driving significant investment in Zero Trust solutions across various industries. Another key trend shaping the cyber security market is the increasing integration of artificial intelligence (AI) and machine learning (ML) technologies for threat detection and response. As cyber threats become more sophisticated and prevalent, organizations are turning to AI-driven solutions to augment their security operations. AI and ML algorithms can analyze vast amounts of data in real-time, enabling early detection of anomalies, unusual patterns, and potential security breaches. These technologies empower security teams to identify and respond to threats more efficiently, reducing detection and response times. Moreover, AI-driven security solutions can automate repetitive tasks, freeing up security personnel to focus on more strategic initiatives. With the continuous evolution of cyber threats, the demand for AI-powered security tools and platforms is expected to grow, driving innovation and investment in the development of advanced threat detection and response capabilities.

Cyber Security Market Report Coverage

The report: “Cyber Security Market Forecast (2024-2030)”, by IndustryARC, covers an in-depth analysis of the following segments of the Cyber Security System Market.

By Component: Cyber Security Software, Cyber Security Hardware, Cyber Security Services.

By Deployment: On-Premise and Cloud.

By Security Type: Network & Endpoint Security, Internet of Things/Industrial Internet of Things Security, Threat Intelligence, Mobile Security, Behavioral Detection, Cloud Security, Deception Security and Others.

By Organization Size: SME, Large Enterprise.

By Solution: Antivirus, UTM, SIEM, DDOS Mitigation, Disaster Recovery, Firewall, DLP, Web Filtering, Threat Intelligence, IAM, Risk and Compliance Management, IDS, Encryption and Others.

By Industry Vertical: Aerospace, Government, Financial Services, Healthcare, Telecommunications, Automobile, Information Technology sector and others

By Geography: North America (U.S, Canada, Mexico), Europe(Germany, UK, France, Italy, Spain, Russia, Netherlands, Denmark and Others), APAC(China, Japan India, South Korea, Australia, Taiwan, Malaysia and Others), South America(Brazil, Argentina, Ecuador, Peru, Colombia, Costa Rica and others), and RoW (Middle east and Africa)

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Key Takeaways

• In 2023, the Cyber Security market was dominated by North America owing to the increasing use of prevalent technology which has raised the risk of cyber threat leading to the need for cybersecurity solutions.

• The rising demand for cloud-based cybersecurity solutions in order to store and secure data during data loss or data breaches has driven the growth of the market

• The rapid advancement of artificial intelligence leading to the introduction of technologies such as machine learning and deep learning which will enhance the growth of the market.

• The rising security threats due to the increasing use of Blockchain systems and IoT threats are making difficult to detect cyber-attacks which is hampering the market growth.

Cyber Security Market Segment Analysis – By Deployment

Cloud segment held the largest market share of 53.1% in the Cybersecurity market in 2023. The growing of massive store applications in order to store and secure data with advanced security methods are driving the need for cloud-based security solutions. As cloud-based cybersecurity solutions offers social networking privacy, online storage, system optimization and so on. Furthermore, the rising demand for online cloud storage leads to provide backup and restorations of data caused due to data breaches or data loss. These significant advantages of cloud technology will lead to surge the growth of the market.

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Cyber Security Market Segment Analysis - By Industry Vertical

The telecom sector is estimated to grow at a CAGR of 10.2% during the forecast period 2023-2030. The GSM Association (GSMA) predicted that quantum computing will be a destabilizer for the telecom sector, making Public Key Infrastructure (PKI) obsolete in the near future. Telecommunication companies are in plans of implementing quantum-safe cryptography algorithms to mitigate cyber-attacks. In order to control cyber-attacks, the European Union (EU) has introduced many regulations such as the Network and Information Security Directive (NISD) and the General Data Protection Regulations (GDPR). NISD is yet to be implemented which requires core digital infrastructure operators and certain digital service providers to ensure that their network and information systems meet minimum standards of cybersecurity. These regulations are implemented to achieve and maintain high network security, and ensure obligatory reporting during any incidents.

Cyber Security Market Segment Analysis – By Geography

In 2023, North America dominated the Cyber Security market with a share of more than 40.2%, followed by Europe and APAC. The growing use of technology and data has led to the rise of most vulnerable cyber threats and crimes which is leading to the growth of this market in this region. Also, the financial stability in this region has allowed organization to invest in cybersecurity for providing security of data and software. These developments are propelling the growth of cybersecurity market in North America.

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Cyber Security Market Drivers

Rising importance Artificial Intelligence (AI)

The rising advancement in artificial intelligence is leading to the introduction of machine learning technologies into products which includes cybersecurity. Moreover, technologies such as deep learning are being used for face detection, natural language processing, threat detection, and others concepts. Also, the acceleration of artificial intelligence (AI) has led to the identification of new threats and helps in responding and block cyber-attacks in an organization. Hence, the deployment of artificial intelligence technologies will further drive the growth of the cybersecurity market.

Increasing need for Cybersecurity in Aerospace

Aerospace industry is widely developing with the integration of new technology such as advanced navigation and guidance systems. This system are used in airplanes which are highly vulnerable to cyber-attacks, which have irrevocable repercussions. So, the rising risk of cyber-attacks and the increasing need to protect the computer networks in the air are leading to the rise of investment in the security infrastructure. Thus, the rising investment by aerospace industry in the security infrastructure has led to the requirement of cybersecurity further boosting the growth of the market.

Cyber Security Market Challenges

Revolution of Blockchain and IoT Threats

The rising demand for Blockchain systems has made it difficult to predict the rising cyber threats which is hindering the cybersecurity market. Furthermore, the increasing usage of IoT has led to the growing number of IoT threats, as IoT includes the connection of physical devices which have a unique identifier (UID). These devices has the ability to transfer data over a network without any human interference and human to computer interaction. Thus, the software and firmware which are required to run these IoT devices make the user more susceptible to cyber-attacks further hindering the growth of the market.

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Cyber Security Market Landscape

Technology launches, acquisitions and R&D activities are key strategies adopted by players in the Cyber Security market. In 2023, the market of Cyber Security has been consolidated by the major players – AWS, Check Point Software Technologies, NTT Security, Cisco Systems, CyberArk, FireEye, IBM Corporation, Oracle, Microsoft and Juniper Networks.

Acquisitions/Technology Launches

In December 2023, Multinational conglomerate Honeywell has agreed to buy Carrier’s Global Access Solutions business for $4.95 billion in cash. The acquisition will strengthen Honeywell’s core security offerings with the addition of hardware and software properties

In Nov 2023, US-based data security company Rubrik has launched Ruby, its generative AI extension for Rubrik Security Cloud, which will speed up cyber threat detection, recovery and resilience. In response to data risk alerts generated in Rubrik Security Cloud, users can interact with Ruby, the company's AI assistant, ask follow-up questions including whether any sensitive data was impacted, or what needs to be done to restore the environment. 

[uvation]

Navigating Cloud Outages: A Timeline from Chaos to Control

The cloud, once a nascent technology, has become the backbone of modern business. Its promise of scalability, flexibility, and cost-efficiency has led to unprecedented reliance. However, the journey from early, unreliable cloud services to today's robust infrastructure has been marked by significant challenges, particularly cloud outages.

A cloud outage occurs when cloud-based services experience disruptions, impacting businesses and individuals alike. From email and file storage to critical applications, dependencies on cloud infrastructure have magnified the consequences of these disruptions. This article delves into the evolution of cloud reliability, comparing the frequent outages of the past to the improved performance of today's cloud services. By examining historical trends, analyzing case studies, and exploring emerging technologies, we aim to understand how the industry has addressed this critical challenge.

The Early Days of Cloud Computing: A Tale of Troubles

The early days of cloud computing were fraught with instability. Hardware failures, software bugs, and network congestion were common culprits behind frequent outages. Major providers experienced multiple disruptions, impacting a wide range of services and undermining trust in the cloud.

The Evolution of Cloud Reliability

The cloud industry has undergone a transformative journey in response to these challenges. Investments in redundant infrastructure, advanced monitoring tools, and robust disaster recovery plans have significantly enhanced cloud reliability.

Virtualization and containerization technologies have played a pivotal role in improving resilience. By isolating applications and data, these technologies reduce the impact of failures and facilitate rapid recovery. Additionally, the adoption of DevOps practices and automation has streamlined operations and reduced human error.

A Timeline of Cloud and Data Center Outages

Early Cloud Years (2000s)

2009: Multiple AWS outages caused by lightning strikes, power failures, and hardware issues. These early incidents emphasized the need for robust cloud infrastructure and disaster recovery plans.

The Rise of Cloud Computing (2010s)

2011: Amazon EBS outage impacting numerous services reliant on the storage platform. This event highlighted the interconnectedness of cloud services.

2012: A series of outages affecting various cloud providers, emphasizing the need for redundancy and disaster recovery.

2014: While outages continued to occur, their frequency and impact began to decrease due to industry advancements.

The Era of Digital Transformation (2020s)

2020: The COVID-19 pandemic increased reliance on cloud services, leading to unprecedented strain on cloud infrastructure. Some providers experienced service disruptions due to increased load.

Recent High-Profile Cloud Outages

2021: AWS experienced a significant outage affecting services like Disney+, Netflix, and Slack. The disruption lasted several hours, causing widespread inconvenience and financial loss.

2022: Several high-profile outages affected major cloud providers, Microsoft Azure faced a substantial outage that impacted services globally, affecting businesses reliant on Microsoft's cloud infrastructure.

2023:The latest major outage, in early 2023, involved Microsoft Azure again, where a critical service disruption affected numerous enterprises. During this period, CrowdStrike's endpoint security solutions played a crucial role in maintaining the security and integrity of end-user devices, such as desktops, laptops, and mobile devices. As leaders in the endpoint security market, both Microsoft and CrowdStrike showcased their capabilities in ensuring robust cybersecurity measures during the outage.

A Comparative Analysis: Then and Now

While cloud outages still occur, their frequency and severity have decreased dramatically. Modern cloud infrastructure is designed with redundancy and fault tolerance in mind, making it more resilient to disruptions. However, the complexity of cloud environments also introduces new challenges.

Causes, Impacts, and Recovery

Causes: The causes of these outages varied from software bugs and network configuration issues to hardware failures and third-party service disruptions.

Impacts: The impacts were widespread, affecting user access, business operations, and revenue. Companies reliant on these cloud services experienced significant downtime, leading to customer dissatisfaction and potential loss of business.

Recovery: Recovery efforts involved rapid identification of the issue, deployment of fixes, and communication with affected customers. Lessons learned from these incidents often lead to improvements in cloud infrastructure and processes.

Mitigating the Impact

To minimize the impact of cloud outages, businesses should implement robust disaster recovery plans, diversify cloud providers, and invest in business continuity strategies. Additionally, close monitoring of cloud service performance and regular testing of backup systems are essential. By understanding the potential consequences of cloud outages and taking proactive steps to mitigate risks, businesses can build resilience and protect their bottom line.

Future Trends in Cloud Outage Prevention and Management

The future of cloud outage prevention and management looks promising, with several trends emerging:

AI and Machine Learning: AI and machine learning can predict potential failures and automate recovery processes, reducing the impact of outages.

Edge Computing: Distributing data and applications closer to end-users can enhance performance and resilience.

Multi-Cloud Strategies: Using multiple cloud providers can mitigate risks and improve redundancy.

Blockchain Technology: Leveraging blockchain for secure and decentralized cloud infrastructure could offer new ways to enhance cloud resilience.

Cloud outages are inevitable, but their impact can be mitigated with the right strategies. Implementing redundancy, enhancing cloud security, and developing comprehensive disaster recovery plans are critical steps towards resilience. The future of cloud resilience lies in continuous improvement and the adoption of advanced technologies. As AI, machine learning, and edge computing evolve, they will play a crucial role in preventing and managing cloud outages.