This data set contains the result of applying the NIST Statistical Test Suite on accelerometer data processed for random number generator seeding. The NIST Statistical Test Suite can be downloaded from: http://csrc.nist.gov/groups/ST/toolkit/rng/documentation_software.html. The format of the output is explained in http://csrc.nist.gov/publications/nistpubs/800-22-rev1a/SP800-22rev1a.pdf.

* Repository author: Tommaso Zanotti
* email: tommaso.zanotti@unimore.it or francescomaria.puglisi@unimore.it
* Version v1.0

This repository includes MATLAB files and datasets related to the IEEE IIRW 2023 conference proceeding:
T. Zanotti et al., "Reliability Analysis of Random Telegraph Noisebased True Random Number Generators," 2023 IEEE International Integrated Reliability Workshop (IIRW), South Lake Tahoe, CA, USA, 2023, pp. 1-6, doi: 10.1109/IIRW59383.2023.10477697

The repository includes:

• The data of the bitmaps reported in Fig. 4, i.e., the results of the simulation of the ideal RTN-based TRNG circuit for different reseeding strategies.
  To load and plot the data use the "plot_bitmaps.mat" file.
• The result of the circuit simulations considering the EvolvingRTN from the HfO2 device shown in Fig. 7, for two Rgain values. Specifically, the data is contained in the following csv files:
  • "Sim_TRNG_Circuit_HfO2_3_20s_Vth_210m_no_Noise_Ibias_11n.csv" (lower Rgain)
  • "Sim_TRNG_Circuit_HfO2_3_20s_Vth_210m_no_Noise_Ibias_4_8n.csv" (higher Rgain)
• The result of the circuit simulations considering the temporary RTN from the SiO2 device shown in Fig. 8. Specifically, the data is contained in the following csv files:
  • "Sim_TRNG_Circuit_SiO2_1c_300s_Vth_180m_Noise_Ibias_1.5n.csv" (ref. Rgain)
  • "Sim_TRNG_Circuit_SiO2_1c_100s_200s_Vth_180m_Noise_Ibias_1.575n.csv" (lower Rgain)
  • "Sim_TRNG_Circuit_SiO2_1c_100s_200s_Vth_180m_Noise_Ibias_1.425n.csv" (higher Rgain)

The global Rack Random Number Generator market is projected to witness significant expansion, reaching an estimated market size of XXX million USD by 2025, with a Compound Annual Growth Rate (CAGR) of XX% during the forecast period of 2025-2033. This robust growth is primarily fueled by the escalating demand for highly secure and unpredictable random numbers across various critical sectors. The burgeoning field of quantum computing, with its inherent reliance on true randomness for complex calculations and simulations, stands as a principal driver. Furthermore, the increasing adoption of advanced cryptographic protocols in cybersecurity, financial services, and governmental applications necessitates reliable and tamper-proof random number generation. The integration of quantum-based random number generators (QRNGs) into industrial processes, particularly in areas requiring unbiased data for machine learning algorithms and statistical analysis, is also a substantial contributor to market momentum. The need for enhanced data privacy and compliance with stringent regulations surrounding data security further bolsters the market for these sophisticated devices. The market is segmented into diverse applications, with Scientific Research and Industrial Use emerging as dominant segments due to their substantial investment in advanced technologies and the critical need for high-quality randomness. Entertainment, while a smaller segment, is also showing promise with the integration of RNGs in gaming and simulation technologies. In terms of types, both Portable and Integrated Generator segments are expected to experience growth, catering to different deployment needs and cost considerations. Geographically, Asia Pacific, led by China and India, is poised to be a rapidly expanding market, driven by rapid technological adoption and significant government initiatives in quantum technology research. North America and Europe, already established markets with a strong focus on cybersecurity and R&D, will continue to be major revenue contributors, with the United States and Germany leading the way. Emerging economies in South America and the Middle East & Africa are also anticipated to witness increasing adoption rates as awareness and investment in advanced RNG solutions grow.

This is a JSON format file generated by a random number generator in python. The range is 0 to 1000, and numbers are float number.This data will be used by a python script for further transformation.

Title of program: SRNG Catalogue Id: ACIE_v1_0

Nature of problem An algorithm to generate a subset of random integers from a larger set of integers has been developed to minimize both the computing time and the memory space. The algorithm deals with the whole array at the same time, generates a subset of random integers for a given percentage of the range, and the generated subset of random integers is obtained as sequentially increasing numbers. Such random integers are used to specify thepositions of randomly dispersed impurity atoms or solute atoms in many ...

Versions of this program held in the CPC repository in Mendeley Data ACIE_v1_0; SRNG; 10.1016/0010-4655(76)90065-5

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Abstract A library containing highly portable implementations of most algorithms for (pseudo) random number generation has been developed, which might be used in any area of simulation which requires random number generators. Each generator is freely configurable by the user, so the RANEXP library is particularly well-suited for applications requiring different random number generators. The algorithms are implemented in C, but are callable from Fortran application program also.

Title of program: RANEXP Catalogue Id: ACTB_v1_0

Nature of problem Any Monte Carlo simulation or statistical test requiring uniform pseudorandom numbers.

Versions of this program held in the CPC repository in Mendeley Data ACTB_v1_0; RANEXP; 10.1016/0010-4655(94)90072-8

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

The Hardware Random Number Generator (HRNG) chip market is experiencing robust growth, driven by increasing demand for secure and unpredictable random numbers across various applications. The market's expansion is fueled by the rising adoption of cryptographic applications, particularly in data security, IoT devices, and blockchain technology. These applications require high-quality, truly random numbers to ensure the integrity and confidentiality of sensitive data. Government regulations mandating stronger data security measures are further propelling market growth. Furthermore, advancements in semiconductor technology are enabling the development of smaller, more power-efficient, and cost-effective HRNG chips, broadening their accessibility and application scope. While challenges exist, such as overcoming the inherent complexities of generating truly random numbers and ensuring consistent performance across diverse operating conditions, the overall market outlook remains positive. We estimate the market size in 2025 to be $500 million, based on observed trends in related security and semiconductor markets. Considering a projected CAGR (assuming a CAGR of 15% based on industry growth in related sectors), the market is expected to exceed $1.5 billion by 2033. Leading players like ID Quantique, Qrange, and QuantumCTek are actively contributing to market innovation through continuous improvements in chip design, performance, and security features. The increasing integration of HRNG chips into diverse electronic devices, coupled with the ongoing development of quantum-resistant cryptography, presents significant opportunities for market expansion. Competitive factors include pricing strategies, technological advancements, and the ability to meet stringent security certifications. Regional growth will be influenced by factors such as government regulations, digital infrastructure development, and the rate of technological adoption in different geographical areas. The market segmentation will likely evolve as new applications emerge and technological improvements drive innovation. The forecast period of 2025-2033 represents a period of substantial growth and transformation within the HRNG chip market, driven by the accelerating demands of a increasingly interconnected and data-driven world.

Analysis of sensor-based data processed for Random Number Generator seeding.

Explore the surging Hardware Random Number Generator Chips market forecast, driven by cybersecurity needs and IoT growth. Discover market size, CAGR, key drivers, and regional trends from 2025-2033.

An integrated circuit (1..1''',1a..1c) with a true random number generator (2..2'''), which comprises at least one instable physical uncloneable function (3..3''',3a,3a') for generating true random numbers (8). Hence each device of a group of devices can be provided with a unique true random generator so that each device of the group is provided with different true random numbers even when said devices are applied to identical environmental conditions. Such a random number generator may be part of a smart card as well as of a module for near field communication for example.

Quantum Random Number Generator Appliance Market Outlook

According to our latest research, the quantum random number generator appliance market size reached USD 195.2 million globally in 2024, demonstrating a robust upward trend driven by escalating security needs and advancements in quantum technologies. The market is projected to expand at a CAGR of 31.8% from 2025 to 2033, reaching a forecasted value of USD 2.16 billion by the end of the forecast period. This remarkable growth is fueled by heightened demand for cryptographically secure random numbers in critical sectors such as BFSI, government, and telecommunications, as well as increased adoption of quantum-safe solutions to counter evolving cyber threats.

One of the primary growth factors for the quantum random number generator appliance market is the rising prevalence of sophisticated cyberattacks targeting both public and private sectors. As digital transformation accelerates globally, organizations are increasingly vulnerable to threats that can compromise sensitive data and digital infrastructure. Quantum random number generator appliances provide a fundamentally secure method of generating truly random numbers, which are essential for cryptographic protocols and secure communications. The growing awareness among enterprises regarding the limitations of classical random number generators, which are susceptible to prediction and manipulation, is further driving the adoption of quantum-based solutions. This shift is particularly notable in industries such as banking, financial services, and insurance (BFSI), where data integrity and confidentiality are paramount.

Another significant driver is the rapid evolution of quantum computing and its implications for conventional encryption techniques. As quantum computers become more powerful, traditional encryption algorithms are at risk of being rendered obsolete. Quantum random number generator appliances are emerging as a key element in the development of quantum-safe cryptographic systems, ensuring robust protection against future quantum-enabled attacks. Governments and regulatory bodies across various regions are increasingly mandating the use of advanced cryptographic methods, which is accelerating the integration of quantum random number generators into existing security frameworks. Additionally, the proliferation of Internet of Things (IoT) devices and the need for secure machine-to-machine communication are further expanding the addressable market for these appliances.

The expanding application landscape of quantum random number generator appliances is another crucial growth catalyst. Beyond cryptography, these devices are finding use in scientific research, gaming and gambling, and secure data transmission in IoT networks. For example, the gaming industry relies on high-quality random numbers to ensure fairness and unpredictability in online games and lotteries. Similarly, scientific research, particularly in fields such as simulations and statistical modeling, benefits from the enhanced randomness provided by quantum solutions. The versatility and reliability of quantum random number generator appliances are positioning them as indispensable tools across a wide array of sectors, further propelling global market growth.

From a regional perspective, North America currently dominates the quantum random number generator appliance market, accounting for the largest share in 2024. This leadership is attributed to the presence of major technology providers, strong government support for quantum research, and early adoption of advanced cybersecurity solutions across industries. Europe follows closely, driven by stringent data protection regulations and significant investments in quantum technologies. The Asia Pacific region is expected to witness the fastest growth during the forecast period, fueled by rapid digitalization, expanding IT infrastructure, and increasing awareness about quantum security. Latin America and the Middle East & Africa are also showing promising potential, albeit from a smaller base, as organizations in these regions begin to recognize the importance of quantum-safe security solutions.

Type Analysis

The quantum random number generator appliance market is segmented by type into hardware, software, and services. Hardware-based quantum random number generators have traditionally dominated the market due to their ability to generate truly random numbers by harnessing quantum mec

The Hardware Random Number Generator (HRNG) market is booming, projected to reach $1.8 billion by 2033 with a 15% CAGR. Driven by cloud computing, IoT, and stringent security regulations, this report analyzes market size, key players (Synopsys, ID Quantique, etc.), and regional trends. Discover the opportunities and challenges in this rapidly evolving sector.

The Hardware Random Number Generator (HRNG) market is experiencing robust growth, driven by increasing demand for secure and reliable randomness in various applications. The market size in 2025 is estimated at $250 million, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by the rising adoption of cloud computing, the Internet of Things (IoT), and blockchain technologies, all of which require high-quality, unpredictable random numbers for security and cryptographic operations. Furthermore, stringent government regulations regarding data privacy and security are driving the demand for robust HRNG solutions. Key players like Synopsys, ID Quantique, Quside, Intel, Xiphera, Shanghai XT QUANTECH, and QuantumCTek are contributing to market expansion through technological advancements and strategic partnerships. The market's growth trajectory is expected to continue its upward trend throughout the forecast period (2025-2033), propelled by factors such as the increasing sophistication of cyberattacks and the growing need for secure authentication and encryption. However, challenges like high initial investment costs for HRNG implementation and the potential for vulnerabilities in poorly designed systems could act as restraints. Nevertheless, the long-term outlook remains positive, with significant opportunities for market expansion across various sectors including finance, healthcare, automotive, and defense, where data security is paramount. The increasing integration of HRNGs into diverse devices and systems is a major contributor to this promising future.

Quantum Random Number Generator Market Outlook

As per our latest research, the Quantum Random Number Generator (QRNG) market size reached USD 185 million in 2024 globally, reflecting a robust interest in quantum-based security solutions and randomization technologies. The market is experiencing a strong growth trajectory with a CAGR of 31.7% from 2025 to 2033, driven by the rising demand for ultra-secure cryptographic systems, advancements in quantum technologies, and the proliferation of IoT devices. At this impressive growth rate, the Quantum Random Number Generator market is forecasted to reach USD 2.16 billion by 2033. The surge in digital threats and the need for next-generation security infrastructure are primary factors propelling this marketÂ’s expansion.

The primary growth factor for the Quantum Random Number Generator market is the escalating need for high-quality randomness in cryptographic applications. As cyber threats become more sophisticated, traditional pseudo-random number generators are increasingly vulnerable to attacks, making quantum-based solutions essential for ensuring data integrity and privacy. QRNGs leverage the inherent unpredictability of quantum phenomena, providing true randomness that is virtually impossible to predict or replicate. This capability is particularly vital for sectors such as banking, government, and defense, where the consequences of compromised encryption can be catastrophic. The integration of QRNGs into existing security protocols is being prioritized by organizations seeking to future-proof their digital infrastructure against emerging quantum computing threats.

Another significant driver is the rapid advancement and commercialization of quantum technology. With increasing investments from both public and private sectors, quantum research has transitioned from theoretical exploration to practical deployment. The miniaturization of quantum hardware and the development of software-based QRNGs have made these solutions more accessible and cost-effective. Furthermore, the growing ecosystem of quantum startups and collaborations with established tech giants are accelerating product innovation and market penetration. This environment fosters the development of QRNGs that are not only more efficient but also compatible with a wide range of applications, from secure communications to scientific simulations.

The proliferation of IoT and connected devices is also fueling the demand for quantum random number generators. As billions of devices become interconnected, the attack surface for cybercriminals expands, necessitating stronger security measures. QRNGs offer a scalable solution for embedding high-entropy randomness into devices, ensuring secure authentication, data transmission, and system integrity. Industries such as healthcare, smart infrastructure, and autonomous vehicles are increasingly adopting quantum randomization technologies to safeguard sensitive data and maintain regulatory compliance. The convergence of quantum technology with IoT is expected to be a pivotal trend shaping the future of the QRNG market.

Regionally, North America continues to lead the Quantum Random Number Generator market due to its early adoption of quantum technologies, robust cybersecurity infrastructure, and significant government and private sector investments. Europe follows closely, propelled by stringent data protection regulations and a strong focus on research and development. The Asia Pacific region is witnessing the fastest growth, driven by expanding digital economies, government initiatives in quantum research, and the increasing deployment of IoT devices. Latin America and the Middle East & Africa are gradually catching up, supported by digital transformation agendas and growing awareness of quantum security solutions.

Type Analysis

The Type segment of the Quantum Random Number Generator market is primarily categorized into hardware and software soluti

Abstract A new very flexible generator of the GFSR type has been constructed, and is examined, thus providing users with numerous different pseudorandom streams from one package. While the software associated with this article is only for Intel-based PCs, some of the statistical conclusions should also apply to other machines for which this algorithm could be programmed.

Title of program: GFSRPC Catalogue Id: ACVX_v1_0

Nature of problem Any Monte Carlo or other calculation requiring a uniform pseudorandom number generator.

Versions of this program held in the CPC repository in Mendeley Data ACVX_v1_0; GFSRPC; 10.1016/0010-4655(94)00114-H

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

The dataset contains all gathered data from the experiment from Wednesday, March 16, 2022 11:58:41.929 AM UTC+0 (1647431921929) until Sunday, April 3, 2022 1:08:35.353 PM UTC+0 (1648991315353). The experiment was executed during physical presence within the Arctic Circle in Tromsø, Norway 69° 40' 53.117'' N 18° 58' 36.027'' E at 35m elevation above sea level. The dataset was gathered with a prototype [1] based on the CREDO android application [2]. The main research is to use Ultra High Energy Cosmic Rays (UHECR) as an entropy source for a Random Bit Generator (RBG).

The associated publication will probably have the title "Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator"

In order to reproduce the results the SQLite3 database "mrng_arctic_experiment_2022.db" is needed. To get the visual representations of the detections use "image_decoding_and_codesnippets.py" to generate the cleaned (414 detections / ~15MB) or the uncleaned (5567 detections / ~195 MB) dataset. The compressed folder "raw_data_incl_space_weather.7z" contains all raw data as gathered with the MRNG prototype, unprocessed, uncleaned, and unmerged.

[1] https://github.com/StefanKutschera/mrng-prototype, visited on 27.03.2023

[2] https://github.com/credo-science/credo-detector-android, visited on 27.03.2023

The global Hardware Random Number Generator (HRNG) Chips market is poised for substantial expansion, driven by the escalating demand for robust security solutions across diverse industries. With a projected market size estimated to reach approximately $750 million by 2025, the market is expected to experience a Compound Annual Growth Rate (CAGR) of around 18% from 2025 to 2033. This robust growth is fueled by the critical need for true randomness in applications such as cybersecurity, cryptography, secure communication, and the burgeoning fields of artificial intelligence and quantum computing. The increasing sophistication of cyber threats necessitates the deployment of highly secure and unpredictable random number generation, making HRNG chips indispensable. Furthermore, the proliferation of connected devices and the Internet of Things (IoT) further amplifies this demand, as each connected node requires secure authentication and data encryption. The automotive sector, with its increasing reliance on connected and autonomous systems, is emerging as a significant application area, as is the financial terminal industry for secure transaction processing. The market is segmented into low-speed, medium-speed, and high-speed random number chips, catering to a spectrum of performance requirements. High-speed chips are gaining traction for demanding applications like large-scale data encryption and complex simulations. Key market drivers include the growing awareness of data privacy regulations globally, the advancements in quantum technologies, and the continuous innovation in semiconductor manufacturing enabling more efficient and cost-effective HRNG chip production. However, challenges such as the relatively high initial cost of implementation for some advanced HRNG solutions and the availability of software-based pseudo-random number generators (PRNGs) might pose some restraints. Prominent players like ID Quantique, Qrange, and Quside are at the forefront of innovation, introducing advanced HRNG solutions. Geographically, Asia Pacific, particularly China and India, is expected to witness the fastest growth due to rapid industrialization, increasing adoption of advanced technologies, and a burgeoning cybersecurity market. North America and Europe remain significant markets, driven by stringent security standards and a mature technology ecosystem.

According to Cognitive Market Research, the global Quantum Random Number Generator RNG market size is USD 555.9 million in 2024. It will expand at a compound annual growth rate (CAGR) of 72.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 222.36 million in 2024 and will grow at a compound annual growth rate (CAGR) of 70.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 166.77 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 127.86 million in 2024 and will grow at a compound annual growth rate (CAGR) of 74.6% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 27.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 72.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 11.12 million in 2024 and will grow at a compound annual growth rate (CAGR) of 72.3% from 2024 to 2031.
Cloud held the dominant segment in the Quantum Random Number Generator RNG market in 2024.

Market Dynamics of Quantum Random Number Generator RNG Market

Key Drivers for Quantum Random Number Generator RNG Market

Increasing need for random numbers in cryptography or compute applications

The QRNG is an ideal random key generator since it generates entropy using intrinsic quantum physics properties. Nowadays, applications demand a huge number of keys and randomization to achieve total security. It could include key vaults, games, IoT devices, AI/ML, blockchains, simulations, and vital infrastructure. QRNG is the source of these applications in which trust in randomness is prevalent. Furthermore, it is utilized in encryption for a wide range of applications, including cryptography, numerical simulation, gambling, and game design.

Growing adoption of quantum computing

The increasing use of quantum computing is boosting the market for Quantum Random Number Generators (RNG) as it creates a need for improved random number generation capabilities. The accurate abilities of quantum computing enable RNGs to produce truly random numbers, essential for secure communication and encryption. Advancements in quantum computing will lead to a higher demand for dependable RNGs, driving market expansion to meet the changing requirements of cybersecurity and data encryption.

Restraint Factor for the Quantum Random Number Generator RNG Market

High initial investment

A significant initial investment hinders the Quantum Random Number Generator (RNG) Market, creating a barrier for new entrants and small companies looking to invest in RNG generation. The significant initial costs involved in the research, development, and deployment of quantum RNG solutions may discourage potential entrants from joining the market. This limitation impedes the growth of the market by limiting innovation and competition, potentially hindering progress in the era of RNG and constraining the market's growth

Impact of Covid-19 on the Quantum Random Number Generator RNG Market

The effect of COVID-19 on the Quantum Random Number Generator RNG Market was merged. Although the pandemic initially caused disruptions in supply chains and slowed down certain trends, the increased focus on cybersecurity and data protection during remote work and digital interactions enhanced the need for secure communication solutions such as quantum RNGs. With a focus on safeguarding information, both organizations and governments fueled growth in the Quantum RNG market despite pandemic-related obstacles. Introduction of the Quantum Random Number Generator RNG Market

The Quantum Random Number Generator (QRNG) is a highly sophisticated engineering innovation that combines the power of complex deep-tech technologies like semiconductors, optoelectronics, high-precision electronics, and quantum physics to achieve the highest level of randomness possible. QRNG has shown to be a critical enabling technology for quantum-level security in mobile devices, data centres, and medical implants. They provide consumers with a significant enhancement over ordinary random number generators (RNGs), which have been utilized for years in a variety of business applications. Several factors, including th...

Quantum Random Bit Generator Market Outlook

According to our latest research, the Global Quantum Random Bit Generator market size was valued at $325 million in 2024 and is projected to reach $2.1 billion by 2033, expanding at a CAGR of 23.7% during 2024–2033. The primary driver fueling this impressive growth trajectory is the escalating demand for robust cryptographic solutions across diverse sectors, as organizations worldwide seek to fortify their cybersecurity frameworks against increasingly sophisticated threats. The unique ability of quantum random bit generators to provide truly unpredictable and non-deterministic random numbers is revolutionizing encryption standards, making these devices indispensable for secure communications, financial transactions, and data protection in the digital era.

Regional Outlook

North America currently commands the largest share of the Quantum Random Bit Generator market, accounting for nearly 38% of global revenue in 2024. This dominance is underpinned by the region's mature technological ecosystem, a high concentration of leading quantum technology firms, and proactive government policies favoring quantum research and cybersecurity initiatives. The United States, in particular, benefits from robust federal funding and public-private partnerships aimed at advancing quantum computing and cryptography. The presence of top research universities and a thriving startup culture further accelerates innovation and commercialization of quantum random bit generators. Additionally, stringent regulatory requirements for data protection in sectors such as BFSI and government drive early adoption and consistent demand across North America.

In contrast, the Asia Pacific region is emerging as the fastest-growing market, projected to achieve a remarkable CAGR of 27.5% between 2024 and 2033. Rapid digital transformation, expanding IT infrastructure, and increasing investments in quantum technologies—especially in China, Japan, and South Korea—are key factors propelling this growth. Governments across the region are launching ambitious initiatives to bolster cybersecurity and quantum research, recognizing the strategic importance of quantum-safe encryption for national security and economic competitiveness. The proliferation of internet-connected devices and the rise of fintech applications further amplify the need for advanced randomization solutions, positioning Asia Pacific as a pivotal hub for both demand and innovation in the quantum random bit generator market.

Meanwhile, emerging economies in Latin America and the Middle East & Africa are gradually adopting quantum random bit generator technologies, albeit at a slower pace. These markets face unique challenges, including limited access to advanced research infrastructure, budgetary constraints, and a shortage of skilled quantum technology professionals. However, growing awareness of cybersecurity risks and increasing digitalization across sectors such as government, telecommunications, and healthcare are driving localized demand. Policy reforms and international collaborations are beginning to bridge the technology gap, but widespread adoption will likely depend on further investments in education, infrastructure, and regulatory harmonization tailored to the needs of these regions.

Report Scope

True Random Number Generator IC Market Outlook

According to our latest research, the global True Random Number Generator IC (TRNG IC) market size reached USD 1.36 billion in 2024, driven by escalating demand for secure cryptographic solutions and the proliferation of connected devices. The market is projected to expand at a robust CAGR of 14.7% from 2025 to 2033, reaching an estimated USD 4.72 billion by 2033. This impressive growth trajectory is primarily fueled by increasing cybersecurity requirements across industries and the integration of TRNG ICs in emerging applications such as IoT, automotive, and advanced telecommunications.

The expansion of the True Random Number Generator IC market is underpinned by the rising necessity for robust data security in a digital-first world. As industries transition to cloud-based infrastructures and digital ecosystems, the need for genuine randomness in cryptographic keys becomes paramount. TRNG ICs, which generate non-deterministic random numbers based on physical phenomena, are increasingly favored over pseudo-random solutions for their superior security attributes. This shift is particularly evident in sectors like BFSI, healthcare, and IT & telecom, where data breaches and cyberattacks can have catastrophic consequences. The growing frequency and sophistication of cyber threats have compelled organizations to adopt hardware-based security measures, thus boosting demand for TRNG ICs globally.

Another significant growth driver is the exponential rise in IoT deployments and smart devices. With billions of IoT endpoints expected to be connected by 2030, each requires secure authentication and encrypted communication channels. TRNG ICs are integral to enabling secure device onboarding, firmware updates, and data transmission in IoT ecosystems. Additionally, the automotive sector, with its shift towards connected and autonomous vehicles, is increasingly embedding TRNG ICs to safeguard vehicle-to-everything (V2X) communications and prevent unauthorized access to critical vehicle systems. Consumer electronics, from smartphones to smart home devices, also represent a burgeoning market for TRNG ICs, as end-users demand higher levels of privacy and data protection.

Technological advancements and regulatory mandates are further catalyzing the adoption of True Random Number Generator ICs. Governments and industry bodies are tightening compliance requirements for data security, compelling enterprises to invest in certified hardware security modules that often incorporate TRNG ICs. Moreover, ongoing innovations in semiconductor manufacturing are enabling the integration of TRNG functionalities into smaller, more power-efficient chips, expanding their applicability across a wider range of devices. This convergence of regulatory pressure and technological progress is expected to sustain the market’s momentum over the forecast period.

Regionally, Asia Pacific is emerging as a powerhouse in the TRNG IC market, propelled by the rapid digitalization of economies such as China, India, and South Korea. North America remains a frontrunner, owing to its mature cybersecurity landscape and early adoption of advanced security technologies. Europe is also witnessing steady growth, supported by stringent data protection regulations and robust industrial automation trends. The Middle East & Africa and Latin America, while relatively nascent, are increasingly investing in digital infrastructure and security solutions, presenting untapped opportunities for market participants.

Type Analysis

The True Random Number Generator IC market is segmented by type into Discrete TRNG ICs and Integrated TRNG ICs. Discrete TRNG ICs, which are standalone chips dedicated solely to random number generation, have traditionally dominated high-security applications such as government, defense, and critical infrastructure. These ICs are valued for their isolation from other system components, reducing the risk of side-channel att