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Global Cloud IDS IPS Market Size By Deployment Model, By Organisation Size, By End-User Vertical, By Geographic Scope And Forecast


Published on: 2024-08-08 | No of Pages : 320 | Industry : latest updates trending Report

Publisher : MIR | Format : PDF&Excel

Global Cloud IDS IPS Market Size By Deployment Model, By Organisation Size, By End-User Vertical, By Geographic Scope And Forecast

Cloud IDS IPS Market Size And Forecast

Cloud IDS IPS Market size was valued at USD 513.8 Million in 2023 and is projected to reach USD 16.54 Billion by 2030, growing at a CAGR of 13.2% during the forecast period 2024-2030.

Global Cloud IDS IPS Market Drivers

The growth and development of the Cloud IDS IPS Market is attributed to certain main market drivers. These factors have a big impact on how Cloud IDS IPS are demanded and adopted in different sectors. Several of the major market forces are as follows

  • Growing Cybersecurity Risks The need for strong IDS/IPS solutions is fueled by the frequency and sophistication of cyber threats, such as ransomware, malware, and other assaults. Cloud-based solutions address the changing threat landscape by offering real-time threat detection and prevention.
  • Cloud Adoption and Digital Transformation An increased attack surface is the consequence of enterprises’ increasing adoption of cloud computing and digital transformation programmes. Cloud IDS/IPS systems are crucial for protecting cloud-based resources, data, and apps, as well as for enabling safe cloud migration.
  • Trends in the Remote Workforce The growing trend of working remotely underscores the need of cloud-based security solutions. Cloud IDS/IPS allows enterprises to safeguard their networks and information, irrespective of the whereabouts of people, devices, or software.
  • Regulatory Compliance regulations Adoption of modern IDS/IPS solutions is influenced by strict regulatory regulations for cybersecurity compliance and data protection. Cloud-based solutions offer scalability and flexibility while assisting organisations in meeting regulatory demands.
  • Flexibility and Scalability Cloud-based IDS/IPS systems are flexible enough to adjust to changing business requirements and handle a range of workloads. Because cloud deployments are flexible, businesses can grow their security architecture in response to changing needs.
  • Automation and AI Integration The effectiveness of IDS/IPS systems is increased by the integration of automation and artificial intelligence (AI) capabilities. Cloud-based solutions use AI to detect threats more intelligently, which lowers false positives and increases overall security efficacy.
  • Increasing Complexity of Attacks Conventional security measures find it difficult to identify and stop threats due to the advanced tactics used by cybercriminals. Because of their superior analytics and threat intelligence, cloud IDS/IPS solutions are more capable of handling intricate attack pathways.
  • Collaboration and Sharing of Threat Intelligence Cloud IDS/IPS solutions frequently make it easier for people to work together and share threat intelligence with other members of a larger ecosystem. This cooperative strategy improves our abilities as a group to recognise and neutralise new dangers.

Global Cloud IDS IPS Market Restraints

The Cloud IDS IPS Market has a lot of room to grow, but there are several industry limitations that could make it harder for it to do so. It’s imperative that industry stakeholders comprehend these difficulties. Among the significant market limitations are

  • Complexity of Implementation Skilled staff may be needed to manage and implement cloud-based IDS/IPS systems, as they can be intricate. Organisations may encounter difficulties throughout the deployment process, which could cause delays and even incorrect configurations that affect how well the security infrastructure works.
  • Integration with Legacy Systems A lot of businesses have on-premises infrastructure and legacy systems that might not work well with cloud-based IDS/IPS solutions. Making sure there is compatibility and a seamless transition can be very difficult.
  • Cost Concerns Although cloud-based solutions are flexible and scalable, there may be worries about the total cost of adoption, particularly for smaller businesses. Certain organisations may find themselves constrained by the perceived high upfront expenditures or recurring subscription prices.
  • Data Privacy and Compliance Issues Adoption of cloud-based IDS/IPS solutions may be hampered by worries about data privacy and compliance with various legislation. Organisations may be hesitant to store critical security data on the cloud, particularly in regulated industries.
  • Lack of In-House Expertise Cloud IDS/IPS solutions frequently call for specialised knowledge in order to be configured, monitored, and maintained. It may be difficult for organisations without internal expertise to use these solutions effectively and to get the most out of them.
  • Performance and delay Issues The use of cloud-based security protocols may occasionally result in increased network traffic delay. Balancing security and performance can be difficult for organisations with strict performance needs, as those in real-time application industries.
  • False Positives and Negatives While IDS/IPS solutions must be accurate in order to effectively detect threats, there are potential problems with false positives (which misidentify benign activity as a threat) and false negatives (which fail to detect real threats), which can affect the security system’s dependability.
  • Reliance on Network Connectivity Constant network connectivity is necessary for cloud-based IDS/IPS systems to function effectively. Organisations may become momentarily exposed to risks in the event of an internet connectivity breakdown, underscoring the significance of having redundant connections and failover solutions.

Global Cloud IDS IPS Market Segmentation Analysis

The Global Cloud IDS IPS Market is Segmented on the basis of Deployment Model, Organisation Size, End-User Vertical, and Geography.

1. By Deployment Model

  • Public Cloud Programmes housed on AWS, Azure, or Google Cloud are examples of public cloud platforms.
  • Private Cloud Using an organization’s own cloud infrastructure for deployments.
  • Hybrid Cloud Combining elements of the public and private clouds to increase flexibility.

2. By Organisation Size

  • Large Enterprises Cloud IDS/IPS systems designed to meet the security requirements of major organisations.
  • Small and Medium-sized Enterprises (SMEs) Solutions made to fit the unique needs and financial constraints of smaller businesses.

3. By End-User Vertical

  • Financial Services Cloud IDS/IPS solutions customised to meet the particular security requirements of the financial sector.
  • Healthcare Solutions for the unique security and compliance issues in the healthcare industry.
  • Government and Defence Security solutions that satisfy the exacting standards of defence and government agencies.
  • Retail IDS/IPS systems made to protect consumer data and retail settings.

4. By Geography

  •  North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Key Players

The major players in the Cloud IDS IPS Market are

  • Cisco Cloud Web Security (US)
  • Cloudflare (US)
  • Akamai Threat Management (US)
  • Microsoft Defender for Cloud (US)
  • Palo Alto Networks Cloud IDS/IPS (US)
  • McAfee Deep Command Cloud (US)
  • Trend Micro Cloud One – Network Detection and Response (US)
  • Fortinet FortiSandbox Cloud (US)
  • Barracuda CloudGen Firewall (US)
  • Check Point CloudGuard (US)

Report Scope

REPORT ATTRIBUTESDETAILS
STUDY PERIOD

2020-2030

BASE YEAR

2023

FORECAST PERIOD

2024-2030

HISTORICAL PERIOD

2020-2022

UNIT

Value (USD Billion)

KEY COMPANIES PROFILED
  • Cisco Cloud Web Security (US)
  • Cloudflare (US)
  • Akamai Threat Management (US)
  • Microsoft Defender for Cloud (US)
  • Palo Alto Networks Cloud IDS/IPS (US)
  • McAfee Deep Command Cloud (US)
  • Trend Micro Cloud One – Network Detection and Response (US)
  • Fortinet FortiSandbox Cloud (US)
  • Barracuda CloudGen Firewall (US)
  • Check Point CloudGuard (US)
SEGMENTS COVERED

Deployment Model, Organisation Size, End-User Vertical, and Geography.

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