DDI Statistics 2024 By Network, Technology, Settings

Tajammul Pangarkar
Tajammul Pangarkar

Updated · Jun 10, 2024


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DDI Statistics: DDI, known as Domain Name System (DNS) Domain Information, plays a vital role in networking infrastructure.

DNS functions as the internet’s directory, converting easily understood domain names into numerical IP addresses.

In addition to DNS, Dynamic Host Configuration Protocol (DHCP) handles the automatic assignment of IP addresses and other network settings.

IP Address Management (IPAM) manages DNS and DHCP, ensuring the efficient allocation of IP addresses. DNS servers store and respond to DNS inquiries, conducting both forward and reverse searches.

DNS zones structure administrative divisions, delineating segments of the DNS environment. Grasping these fundamentals is essential for proficient network administration and problem-solving.

DDI Statistics

Editor’s Choice

  • The revenue generated from the DDI (DNS, DHCP, and IPAM) market reached an impressive $3.08 billion in 2023.
  • The number of worldwide internet hosts in the Domain Name System (DNS) reached 1,012.70 million in 2019.
  • As of June 2022, the leading new generic top-level domains (gTLDs) by the number of registered domains were led by .xyz, which had 5.05 million domains.
  • Globally, the encrypted query rate is 23.1%, with a DoH rate of 13.9%. A DoT rate of 9.3%, and a query weight of 1.00.
  • According to a survey on network monitoring data sources, firewall logs are considered the most valuable by 52% of respondents for detecting and responding to abnormal network behavior and cyber-attacks.
  • Over the next 12 to 24 months, organizations plan to undertake several activities to enhance their network security monitoring capabilities. Foremost, 42% of respondents intend to provide more training to their existing staff on network security monitoring.
  • In the United States, the Federal Communications Commission (FCC) mandates strict guidelines for DNS security to protect against cyber threats. With policies continually updated to reflect new security challenges.  

DDI Market Statistics

Global DDI Market Size Statistics

  • The revenue generated from the (DNS, DHCP, and IPAM) DDI market worldwide has shown significant growth from 2016 to 2023.
  • In 2016, the market revenue stood at $0.69 billion.
  • This figure increased to $0.85 billion in 2017 and further to $1.06 billion in 2018.
  • The upward trend continued, with revenues reaching $1.31 billion in 2019.
  • In 2020, the market saw a notable increase, with revenues climbing to $1.62 billion.
  • This growth persisted in 2021, with the market generating $2.00 billion.
  • By 2022, the revenue had risen to $2.48 billion, and in 2023, it reached an impressive $3.08 billion.
  • This consistent growth highlights the expanding demand and adoption of DDI solutions globally.

(Source: Statista)

Global Internet Hosts in the Domain Name System (DNS)

  • The number of worldwide internet hosts in the Domain Name System (DNS) has experienced notable changes from 2009 to 2019.
  • In 2009, there were 625.23 million internet hosts. This number increased significantly in 2010, reaching 732.74 million.
  • The upward trend continued in 2011, with the number of hosts growing to 818.37 million and further to 908.59 million in 2012.
  • By 2013, the count had risen to 963.52 million.
  • The growth persisted into 2014, with the number of hosts surpassing the one billion mark at 1,010.25 million.
  • In 2015, the figure slightly increased to 1,012.71 million, and in 2016, it climbed to 1,048.77 million.
  • However, in 2017, the growth slowed, with a modest increase to 1,062.66 million.
  • Interestingly, in 2018, the number of worldwide internet hosts saw a decline to 1,003.60 million, but it rebounded in 2019 to 1,012.70 million.
  • This data reflects the dynamic nature of the global internet infrastructure over the decade.

(Source: Statista)

Generic Top Level Domains (gTLD) in DDI Statistics

Leading New Generic Top Level Domains (gTLD)- by Number of Domains

  • As of June 2022, the leading new generic top-level domains (gTLDs) by the number of registered domains were led by .xyz, which had 5.05 million domains.
  • Following .xyz, .online had 2.15 million domains, and .top accounted for 1.93 million domains.
  • The .shop domain had 1.25 million registrations, while .site had 1.22 million.
  • The .icu domain registered 1.12 million domains, and .club followed with 0.91 million.
  • The .store domain had 0.86 million registrations, while (.cyou) accounted for 0.83 million domains.
  • Lastly, the .vip domain had 0.69 million registrations.
  • These numbers highlight the distribution of domain registrations among the leading new gTLDs in mid-2022.

(Source: Statista)

Leading New Generic Top Level Domains (gTLD) – By Market Share

  • As of June 2022, the leading new generic top-level domains (gTLDs) were dominated by .xyz, which held a market share of 16.71%.
  • Following .xyz, .online accounted for 7.13% of the market, while (.top) captured 6.40%.
  • The .shop domain held a market share of 4.15%, and (.site) followed closely with 4.02%.
  • The .icu domain had a market share of 3.71%, while (.club) accounted for 3%.
  • The .store domain held 2.86% of the market, and .cyou had a share of 2.73%.
  • Lastly, the .vip domain represented 2.28% of the market.
  • These figures illustrate the distribution of market share among the leading new gTLDs in mid-2022.

(Source: Statista)

Regional Comparison of Encrypted DNS Query Rates and Query Weights

  • The data presents an analysis of encrypted query rates. DoH (DNS over HTTPS) rates, DoT (DNS over TLS) rates, and query weights across different regions.
  • Globally, the encrypted query rate is 23.1%, with a DoH rate of 13.9%. A DoT rate of 9.3%, and a query weight of 1.00.
  • In Africa, the encrypted query rate is slightly higher at 24.9%, with a DoH rate of 14.0%. A DoT rate of 10.9%, and a lower query weight of 0.63.
  • The Americas show an encrypted query rate of 15.2%. With DoH at 6.8% and DoT at 8.4%, and a query weight of 1.38.
  • Asia has the highest encrypted query rate at 30.1%. With DoH at 20.3% and DoT at 9.8%, and a query weight of 0.85.
  • Europe shows an encrypted query rate of 16.0%. With DoH at 7.3% and DoT at 8.7%, and a query weight of 1.34.
  • Oceania has the lowest encrypted query rate at 9.8%. With DoH and DoT rates both at 4.9% and a query weight of 1.40.
  • This data highlights the regional variations in the adoption of encrypted DNS queries and the corresponding query weights.

(Source: APNIC Labs)

DDI Statistics

Technical Specifications of Domain Name System (DNS)

  • In the generative AI sector, the Domain Name System (DNS) serves as a critical component for managing internet traffic and ensuring seamless connectivity for AI-driven applications. The technical specifications of DNS in this context include several key features and metrics.
  • First, DNS servers must support both IPv4 and IPv6 addresses, facilitating a broad range of device compatibility. High-performance DNS servers are designed to handle millions of queries per second, ensuring low latency and high reliability.
  • For instance, Cloudflare’s DNS services, are used by the U.S. government. Provide managed name servers and authoritative DNS hosting with capabilities to reduce attack surfaces and automate security management.
  • Additionally, these servers must implement DNSSEC (Domain Name System Security Extensions) to protect against cache poisoning and spoofing attacks.
  • Enhanced threat intelligence and real-time alerts are crucial for detecting and preventing cyber threats, ensuring robust security for AI operations.
  • These technical specifications collectively support the high demands and security needs of generative AI applications. Ensuring efficient and secure domain resolution and management​​​​​​​​.

(Sources: MIT Technology Review, CISA, Cloudflare, Sectorlink)

Technical Specifications of DHCP Server

  • In the generative AI sector, the technical specifications of DHCP (Dynamic Host Configuration Protocol) servers are critical for managing network configurations efficiently.
  • These servers play a crucial role in assigning IP addresses and ensuring seamless network connectivity. Which is vital for supporting the high computational demands of generative AI applications.
  • Key specifications include support for IPv4 and IPv6 addressing, which enhances compatibility with a broad range of devices.
  • The throughput capacity is another important factor, typically measured in transactions per second (TPS). With high-performance DHCP servers handling upwards of 10,000 TPS to accommodate the vast data flow in AI environments.
  • Moreover, robust security features such as encrypted communications (TLS 1.2 or higher) and integration with network access control (NAC) systems are essential to protect sensitive AI data from unauthorized access.
  • Scalability is also a significant consideration, with modern DHCP servers designed to support thousands of concurrent leases and rapid scalability to match the growing demands of AI-driven enterprises.
  • These specifications ensure that DHCP servers provide the necessary infrastructure support for generative AI applications, facilitating reliable and secure network operations​​​​​​​​.

(Source: BCG, Mckinsey, MIT Technology Review, Ofcom) 

Technical Specifications of IPAM Server in DDI Statistics

  • In the overall generative AI sector, IP Address Management (IPAM) servers play a crucial role in maintaining and managing IP address allocations. Which is vital for ensuring seamless network operations.
  • The technical specifications of IPAM servers tailored for generative AI environments include several key features.
  • These servers must support both IPv4 and IPv6 addressing, allowing for extensive device compatibility. High scalability is essential, with advanced IPAM solutions capable of managing millions of IP addresses concurrently.
  • They typically offer a robust database engine to handle large volumes of data, with processing capabilities exceeding 10,000 transactions per second to accommodate the dynamic nature of AI workloads.
  • Security features such as TLS 1.2 or higher for encrypted communications and integration with security information and event management (SIEM) systems are critical for protecting sensitive AI data.
  • Additionally, automated IP address discovery and real-time monitoring capabilities are necessary to ensure optimal network performance and quick troubleshooting.
  • These technical specifications collectively enable IPAM servers to support the high demands of generative AI applications, ensuring efficient, secure, and scalable network management​​​​​​.

(Sources: Mckinsey, BCG, Deloitte)

Network and Cybersecurity Preferences and Trends Related to DDI Statistics

Most Valuable Network Monitoring Data Sources for Detecting and Responding to Anomalous Behavior and Cyber-Attacks

  • According to a survey on network monitoring data sources, firewall logs are considered the most valuable by 52% of respondents for detecting and responding to abnormal network behavior and cyber-attacks.
  • Endpoint forensic data follow this at 27%, and log files from both endpoints and servers, and VPN logs are at 26%.
  • Full-packet capture is valued by 24%, while log files from network devices and IP reputation threat intelligence each garnered 23% support.
  • IDS/IPS alerts are crucial for 22% of respondents, and proxy logs are essential for 21%.
  • Network telemetry and active directory logs, along with data from anti-malware sandboxes, are each considered valuable by 20%.
  • Network metadata from cloud service providers is important for 19%. DNS query/response logs for 16%, web reputation threat intelligence for 15%, and DHCP logs for 11%.
  • This data highlights the diverse range of sources organizations rely on to enhance their AI In Cybersecurity posture.

(Source: Cisco)

DDI Statistics

Opinions About Network Security Monitoring in DDI Statistics

  • Survey data on network security monitoring responses reveals several key opinions.
  • A significant 50% of respondents strongly agree that effective network security monitoring depends on strong communication and collaboration between cybersecurity and network or IT operations staff, with an additional 42% agreeing.
  • Similarly, 50% strongly believe that future network security monitoring efforts must include Cloud Security visibility, with 40% in agreement.
  • The enhancement of network security monitoring through visibility into endpoints, servers, and threat intelligence is strongly agreed upon by 46% and agreed by 45%.
  • Combining network security monitoring with other detection tools to gain context around security events is strongly supported by 43% and agreed upon by 44%.
  • The efficacy of network security monitoring tools is perceived to be highest when tightly integrated with network operations tools, as strongly agreed by 41% and agreed by 51%.
  • A majority of respondents (38% strongly agree, 52% agree) feel that their organizations are more advanced in network security monitoring today compared to two years ago.
  • However, the ability to monitor network security is somewhat limited by current tools and technologies. 25% who strongly agree, 33% who agree, 24% are neutral, and 19% disagree.
  • This data underscores the importance of integration, visibility, and collaboration in enhancing network security monitoring.

(Source: Cisco)

DDI Statistics

Challenges and Difficulties Associated with DDI Statistics

Factors Increasing Difficulty in Monitoring Network Activity for Security Purposes in DDI Statistics

  • Several factors have contributed to the increased difficulty in monitoring network activity for security purposes.
  • A notable 34% of respondents identified the rise in malware volume as a significant challenge.
  • Additionally, 28% pointed to the overall increase in network traffic. While 27% highlighted the growing sophistication of malware designed to bypass traditional network security controls.
  • The increase in targeted attacks, which may also circumvent these controls, was cited by 26% of respondents.
  • Other challenges include the rise in the number of devices and users with network access. Each was noted by 25% of respondents, and the increased use of SaaS, PaaS, and IaaS services in the public cloud, was identified by 24%.
  • Furthermore, 22% mentioned that their organization’s network security monitoring tools do not scale well, making it difficult to keep up with systems.
  • The growing percentage of encrypted traffic was a concern for 17% while understaffing in IT security departments was noted by 13%.
  • The complexity added by an increased number of security tools was also mentioned by 13% of respondents.
  • Additionally, 10% reported that their network security tools do not integrate well together. Making monitoring more difficult, and 9% indicated that their tools are less effective at identifying suspicious behavior and cyber-attacks.
  • Lastly, 8% acknowledged a lack of adequate cybersecurity knowledge and skills within their organization as a hindrance to effective network monitoring.

(Source: Cisco)

Greatest Challenges in Network Security Monitoring for Organizations in DDI Statistics

  • Organizations face several significant challenges in network security monitoring.
  • A primary concern for 31% of respondents is the presence of blind spots where there is inadequate visibility into networking activities necessary for security analytics.
  • Additionally, 29% report communication and process issues between cybersecurity and network operations teams, which can hinder monitoring capabilities.
  • Another 25% note that they don’t always collect the right data at the right time. While 24% continue to struggle with detecting suspicious network behavior or identifying cyber-attacks in progress.
  • The overwhelming number of security alerts generated by monitoring tools is an issue for 22% of respondents.
  • Furthermore, 20% indicate that their CERT/SOC teams spend most of their time on emergency responses, limiting proactive monitoring.
  • Other challenges include insufficient security staff (18%), reliance on difficult-to-use open source tools (17%), lack of continuous monitoring processes or tools (17%), inadequate skills for network security monitoring (14%), and not having the right tools to analyze network data (13%).
  • Additionally, 8% of organizations do not retain network monitoring data long enough for historical security investigations, while another 8% report no significant challenges.

(Source: Cisco)

Strategic Plans for Network Security Monitoring in DDI Statistics

  • Over the next 12 to 24 months, organizations plan to undertake several activities to enhance their network security monitoring capabilities.
  • Foremost, 42% of respondents intend to provide more training to their existing staff on network security monitoring.
  • Integration of network monitoring and threat detection with security operations tools to automate remediation tasks is planned by 40%.
  • An investment in new types of network security monitoring technologies and changes to the IT organization to foster more collaboration between cybersecurity and network operations groups are each planned by 39% of respondents.
  • Additionally, 35% plan to hire more security staff dedicated to network security monitoring and integrate more security management tools to automate and orchestrate incident response processes.
  • Further, 34% aim to incorporate more threat intelligence into their monitoring platforms, and 33% seek to extend monitoring to gain visibility of public cloud infrastructure.
  • Training for security staff, specifically in network security monitoring, is planned by 32%, while 29% will research or deploy more security analytics solutions using AI and machine learning.
  • Other plans include creating granular network access control policies (25%), employing professional services for better utilization of network security monitoring (23%), using SDN, NFV, or other tools for micro-segmentation (22%), outsourcing security tasks to managed service providers (20%), replacing open source tools with commercial alternatives (18%), and reducing the number of tools used for monitoring (13%).
  • This comprehensive approach highlights the varied strategies organizations are adopting to enhance their network security frameworks.

(Source: Cisco)

DDI Statistics by Regulations

  • Regulations and policies for DDI (DNS, DHCP, and IPAM) vary by country and have evolved to address the growing complexity and security needs of modern networks.
  • In the United States, the Federal Communications Commission (FCC) mandates strict guidelines for DNS security to protect against cyber threats, with policies continually updated to reflect new security challenges.
  • In the European Union, the General Data Protection Regulation (GDPR), effective since 2018, impacts how DNS data is managed, emphasizing data protection and privacy.
  • Additionally, the Network and Information Systems (NIS) Directive requires EU member states to implement robust cybersecurity measures, including DNS security.
  • In Canada, the Canadian Internet Registration Authority (CIRA) provides guidelines and tools to enhance DNS security across the country.
  • In 2023, EfficientIP launched new DNS-based data exfiltration applications to help organizations worldwide comply with these evolving regulations by identifying and mitigating potential vulnerabilities.

(Source: BlueCat Networks)

Recent Developments


AMD’s Acquisition of Pensando Systems: In May 2022, AMD acquired Pensando Systems for approximately $1.9 billion. This acquisition enhances AMD’s capabilities in data center accelerators by integrating high-performance data processing units and software stack capabilities into their product range​​​​.

New Product Launches:

  • EfficientIP’s DNS-based Data Exfiltration Application: In January 2023, EfficientIP launched a new DNS-based Data Exfiltration Application. This tool enables organizations to identify vulnerabilities in their DNS systems and prevent potential data breaches by enhancing network security defenses​​.
  • AMD Instinct MI300 Series: AMD launched the Instinct MI300X and MI300A data center AI accelerators in December 2023. These products are designed for AI training and inference solutions, featuring the new ROCm 6 software stack that supports large language models​​.


  • Investment in AI and High-Performance Computing: The data center accelerator market continues to attract substantial investments aimed at integrating AI and machine learning capabilities into data center operations. Companies are focusing on expanding their high-performance computing (HPC) and AI training infrastructures to meet the growing demand for advanced computing solutions​​​​.

Market Growth:

  • Global Market Expansion: The growth is driven by the increasing adoption of AI and machine learning technologies in data centers​​​​.
  • Regional Growth Trends: The Asia-Pacific region is expected to record the highest demand for data center accelerators during the forecast period due to the rapid adoption of cloud services and AI technologies​​.

Innovation and Trends:

  • Integration with DevOps Practices: The integration of DDI (DNS, DHCP, and IPAM) solutions with DevOps practices facilitates seamless automation and agility in infrastructure provisioning. This includes automated IP address allocation and DNS record management within CI/CD workflows, enhancing efficiency and scalability​​.
  • High Availability and Disaster Recovery: The increasing need for high availability and disaster recovery in critical network services like DNS and DHCP presents significant market opportunities for DDI solutions. Solutions such as Infoblox offer geo-redundancy and real-time synchronization across data centers, ensuring seamless service continuity during outages or disasters​​.


DDI Statistics – DDI (DNS, DHCP, and IPAM) solutions are crucial for modern network management, providing centralized and automated control over IP addresses, domain names, and network configurations.

These solutions enhance network reliability, scalability, and security, particularly in complex and cloud-integrated environments.

Key regulatory frameworks like the FCC’s guidelines in the US, GDPR in the EU, and CIRA’s guidelines in Canada ensure robust security and data protection.

Recent advancements include DNS-based data exfiltration applications and strategic partnerships to bolster network security and operational efficiency​​​​​​.

Overall, DDI solutions are indispensable for maintaining high availability and disaster recovery in today’s dynamic IT landscapes. 


What is DDI?

DDI stands for DNS, DHCP, and IP Address Management. It is a combination of services that centralizes and automates the management of IP addresses, domain name services, and dynamic host configuration.

Why is DDI important?

DDI is crucial for ensuring network reliability, reducing downtime, and improving security. It helps in efficiently managing IP addresses, ensuring proper assignment, and preventing conflicts, which are essential for network operations.

How does DNS work within DDI?

DNS (Domain Name System) translates human-readable domain names into IP addresses, allowing devices to locate and communicate with each other over the internet or private networks. DDI solutions manage these translations efficiently and securely.

How does DHCP function in DDI?

DHCP (Dynamic Host Configuration Protocol) automatically assigns IP addresses to devices on a network, ensuring that each device has a unique IP address without manual intervention. This is crucial for managing large networks.

What is IPAM, and what is its role in DDI?

IPAM (IP Address Management) is responsible for planning, tracking, and managing IP address spaces. It provides visibility into IP address utilization and helps prevent conflicts by ensuring proper allocation and management.

Tajammul Pangarkar

Tajammul Pangarkar

Tajammul Pangarkar is a CMO at Prudour Pvt Ltd. Tajammul longstanding experience in the fields of mobile technology and industry research is often reflected in his insightful body of work. His interest lies in understanding tech trends, dissecting mobile applications, and raising general awareness of technical know-how. He frequently contributes to numerous industry-specific magazines and forums. When he’s not ruminating about various happenings in the tech world, he can usually be found indulging in his next favorite interest - table tennis.