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Managed Detection and Response Services Market to grow by USD 6.2 Billion (2024-2028), driven by outsourcing business tasks, with AI driving market transformation – Technavio

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NEW YORK, Dec. 4, 2024 /PRNewswire/ — Report with the AI impact on market trends – The global managed detection and response services market size is estimated to grow by USD 6.2 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 23.58% during the forecast period. Focus on outsourcing business-related tasks beyond an organizations competencies is driving market growth, with a trend towards increasing application of user behavior analytics. However, possibilities of failures during the implementation poses a challenge. Key market players include Alphabet Inc., Arctic Wolf Networks Inc., Armor Defense Inc, Blackpoint Cyber, Booz Allen Hamilton Holding Corp., Broadcom Inc., Check Point Software Technologies Ltd., Cisco Systems Inc., CrowdStrike Holdings Inc., Cybereason Inc, Cynet security Ltd, Dell Technologies Inc., eSentire Inc., Fortinet Inc., International Business Machines Corp., Palo Alto Networks Inc., Rapid7 Inc., SENTINELONE INC., Sophos Ltd., Trend Micro Inc., and Trustwave Holdings Inc..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

End-user (Large enterprises and Small and medium enterprises), Deployment (Hosted and On-premises), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

Alphabet Inc., Arctic Wolf Networks Inc., Armor Defense Inc, Blackpoint Cyber, Booz Allen Hamilton Holding Corp., Broadcom Inc., Check Point Software Technologies Ltd., Cisco Systems Inc., CrowdStrike Holdings Inc., Cybereason Inc, Cynet security Ltd, Dell Technologies Inc., eSentire Inc., Fortinet Inc., International Business Machines Corp., Palo Alto Networks Inc., Rapid7 Inc., SENTINELONE INC., Sophos Ltd., Trend Micro Inc., and Trustwave Holdings Inc.

Key Market Trends Fueling Growth

In today’s digital world, organizations face increasing threats from cyberattacks such as ransomware and crypto-jacking incidents. With the shortage of cybersecurity skills, managing security alerts and incidents becomes a challenge. Government regulations and compliance requirements add to the complexity. MDR providers offer a solution by using detection algorithms, threat intelligence, and ML/AI to identify and respond to threats in real-time. IoT devices, networks, and cloud computing are key areas of focus. MDR systems provide expert investigation, 24/7 monitoring, and improved threat detection. Vulnerability management and EDR tools are essential for security implementation. MDR services offer flexibility, improved security, and reduced maintenance costs. Organizations can protect their assets from cybersecurity attacks, loss of business, and data security risks. Customization and deployment are crucial for businesses dealing with operational risks and business continuity. With the rapid digitization of IT & Telecom, Retail & E-commerce, and other industries, MDR services are a must-have for any organization looking to stay ahead of the curve. Protect your business from malware, phishing, SQL injection, DNS tunneling attacks, and more with the help of MDR providers and their team of security researchers and engineers. 

User behavior analytics is a valuable tool for enterprises seeking to enhance their network security. By analyzing the actions of users, this technology enables organizations to identify lateral movements, compromised credentials, and risky behaviors that may indicate a cyber threat. Managed detection and response service providers are integrating user behavior analytics with pre-built detections and intruder traps to provide more comprehensive security solutions. This combination allows security teams to respond quickly to threats that may evade traditional security measures, ensuring the protection of critical business assets. 

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Market Challenges

Managed Detection and Response (MDR) services have become essential for organizations to safeguard their assets from evolving cyber threats. With the rise of ransomware and crypto-jacking incidents, cybersecurity skills are in high demand to manage an increasing number of security alerts. Government regulations and compliance requirements add to the complexity. MDR providers use detection algorithms, threat intelligence, and ML/AI to identify and respond to cyberattacks on IT & Telecom networks, IoT devices, and digital transformation projects. However, challenges persist. Ransomware attacks can cause significant business loss, and the cost of maintaining in-house cybersecurity teams is high. MDR systems offer improved threat detection, expert investigation, and 24/7 monitoring. However, customization and operational risks can hinder deployment. Flexibility and reduced maintenance are key benefits. MDR providers employ security researchers and engineers to manage security cases, and their systems use ML and behavioral analytics to detect targeted cyberattacks. Vulnerability management and EDR tools are crucial for effective security implementation. Malware, phishing, SQL injection, and DNS tunneling attacks are common threats. Rapid digitization and the increasing use of cloud technology, mobile devices, web applications, and social media platforms add to the risk. MDR services help organizations stay ahead of these threats and ensure business continuity.The implementation of Managed Detection and Response Services (MDR) in an organization comes with potential challenges that may hinder market growth. One significant challenge is the risk of errors during implementation, which can make clients hesitant to adopt MDR and instead opt for traditional security solutions. The implementation process is intricate and involves multiple tasks such as project management, compliance, vulnerability management, content management, event monitoring, access control, and device management. Each of these tasks requires meticulous execution to ensure success. Furthermore, during the planning phase, MDR providers must carefully choose the required devices, determine their placement within the client’s architecture, and configure them correctly. The complexity of these processes necessitates a high level of expertise and attention to detail.

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Segment Overview

This managed detection and response services market report extensively covers market segmentation by

End-user 1.1 Large enterprises1.2 Small and medium enterprisesDeployment 2.1 Hosted2.2 On-premisesGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Large enterprises- Large enterprises, particularly those in the finance, healthcare, and technology sectors of the Fortune 500, dominate the global managed detection and response services market. These organizations prioritize threat detection and response capabilities due to their extensive networks and valuable data assets. Managed detection and response services offer advanced threat intelligence, real-time monitoring, and incident response, addressing the cybersecurity needs of large companies. Notable examples include a major global financial institution and a leading technology conglomerate, which have enhanced their security posture through managed detection and response solutions. As cyber threats continue to evolve, the demand for these services among large organizations is projected to rise significantly, fueling the expansion of the global managed detection and response services market.

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Research Analysis

Managed Detection and Response (MDR) services have gained significant traction in today’s threat landscape, where organizations face an increasing number of cybersecurity challenges, including ransomware attacks and crypto-jacking incidents. With the shortage of cybersecurity skills, MDR providers offer a solution by monitoring security alerts and responding to threats in real-time. Government regulations and compliance requirements add to the pressure, making it essential for businesses to protect their IT & Telecom assets from threats. MDR services leverage detection algorithms, threat intelligence, AI, and ML to identify and mitigate risks. IoT devices, retail & e-commerce, and other industries are prime targets for cybercriminals, making MDR services indispensable for securing critical data and infrastructure. Security researchers and engineers work together to analyze security cases and provide effective solutions to keep organizations safe.

Market Research Overview

The Managed Detection and Response (MDR) market is witnessing significant growth due to the increasing number of ransomware and crypto-jacking incidents. With the shortage of cybersecurity skills in the market, MDR providers offer organizations expert investigation and 24/7 monitoring to enhance threat detection and response. Government regulations and compliance requirements are driving the demand for MDR services, especially in IT & Telecom, Retail & E-commerce, and other industries. The integration of IoT devices, ML, AI, and behavioral analytics into MDR systems improves threat detection and incident response. MDR providers leverage threat intelligence and detection algorithms to protect networks and assets from cyberattacks. The flexibility of MDR services allows organizations to reduce operational risks and improve business continuity. However, the cost of maintenance and customization can be a concern for some businesses. The risk to businesses from cybersecurity attacks, loss of customer data, and the cost of maintaining in-house security teams are significant. MDR systems utilize EDR tools and ML to investigate security cases and improve security implementation. The deployment of MDR services in the cloud and the protection of web browsing, mobile devices, web applications, social media platforms, and other digital assets are essential in today’s rapidly digitizing world. Malware, phishing, SQL injection, DNS tunneling attacks, and other cyber threats continue to pose a risk to businesses. MDR providers offer organizations the expertise and resources to mitigate these threats and ensure data security.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userLarge EnterprisesSmall And Medium EnterprisesDeploymentHostedOn-premisesGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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Toku launches Makimoto Flows, a visual builder for speech AI pipelines, taking its open-source initiative beyond transcription

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31 minutes ago

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October 21, 2026

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Developers can chain transcription, summarisation and call tagging on one canvas, test each step and export the pipeline as code, with every step processed in Singapore

SINGAPORE, Oct. 21, 2026 /PRNewswire/ — Toku Ltd. (SGX: TKU), a Singapore-headquartered AI-powered customer experience (CX) platform, has launched Makimoto Flows (“Flows”), a visual builder within its open-source conversational AI initiative where developers assemble speech AI pipelines block by block and test each stage on a recorded call. Flows is now live at makimoto.ai.

On the Flows canvas, developers connect blocks to build a speech AI pipeline and test each step individually. The Transcribe block converts audio into text using Kawa, the Summarise block generates a topic and short summary from the transcript, and the Tags block classifies each call across seven categories, including customer sentiment. Developers can see how audio moves from transcription to analysis, and control how each stage connects and runs. Every block runs in Singapore, so audio, transcripts and the resulting analysis stay in-country.

The Chained Analysis starter template puts these blocks together in one click, and developers can adjust any block and rerun it to compare results. Each block maps to a Makimoto API endpoint, and any flow can be exported as ready-to-run Python code, so developers can take the same capabilities into their own code for applications such as call recaps and call triage.

“Developers should have control over how their voice AI works, from the models they use to the way each stage connects. That is the principle behind Makimoto. Flows puts the orchestration layer in front of them: they can build a pipeline, run a recorded call through it and see what each step produces before anything reaches their customers. Models will keep changing. The ability to compose them, and to know where they run, is what lasts,” said Thomas Laboulle, Founder and CEO at Toku.

Flows builds on the composable architecture Toku set out when it introduced Makimoto in April 2026, and takes the initiative beyond transcription. Kawa, released on schedule on 1 July 2026, established the transcription layer through a Singapore-hosted API; summarisation and tagging endpoints followed in September; Flows now lets developers compose them visually. Next, Makimoto plans to add audio preparation blocks, starting with noise filtering, giving developers more control over how recordings are processed before transcription.

By pairing open-source development with enterprise-grade deployment, Makimoto complements Toku’s existing customer experience platform and supports long-term innovation opportunities across the Group’s AI roadmap.

Developers can create a free account at makimoto.ai, open the Chained Analysis template and run a sample recording, or one of their own call recordings, through it; each account includes 1,000 free minutes. Feedback reaches the Makimoto team directly from the portal.

About Toku

Headquartered in Singapore, Toku Ltd. (SGX Catalist: TKU) is a cloud-native, AI-powered customer experience platform purpose-built for enterprises operating in complex, multi-market environments. With deep roots in the APAC region and an expanding global footprint, Toku’s modular 360° CX Platform orchestrates customer interactions across voice, chat, email and digital channels while managing regulatory, linguistic and infrastructure complexity at scale.

Built on end-to-end ownership of its technology stack, from carrier-grade connectivity to AI applications, Toku delivers enterprise-grade security, reliability and deployment flexibility in commercial cloud, private data centres and hybrid environments. Its AI capabilities include transcription, summarisation, sentiment analysis, conversation analytics and governed virtual agents, designed to integrate seamlessly with enterprise systems and customer data.

Trusted by leading enterprises and public-sector organisations, Toku helps organisations streamline operations, scale customer engagement and deliver consistent experiences in fragmented markets worldwide.

For more information about Toku, visit toku.co.

About Makimoto

Makimoto is Toku’s open-source initiative, operated through Makimoto Technology Pte Ltd, a wholly owned subsidiary of the Toku Group, dedicated to building composable conversational AI infrastructure for Asia-Pacific. Its releases include Makimoto Kawa, a Singapore-hosted transcription API; summarisation and tagging endpoints; and Makimoto Flows, a visual builder for composing speech AI pipelines. For more information about Makimoto, visit makimoto.ai.

Forward-Looking Statements

This press release contains forward-looking statements regarding Toku’s expansion plans, business strategy and planned product releases. These statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially. Toku undertakes no obligation to update these statements to reflect subsequent events or circumstances.

Sponsor’s Statement

Toku Ltd. (the “Company”) was listed on Catalist of the Singapore Exchange Securities Trading Limited (the “Exchange”) on 22 January 2026. The initial public offering of the Company was sponsored by PrimePartners Corporate Finance Pte. Ltd. (the “Sponsor”). This press release has been reviewed by the Sponsor. It has not been examined or approved by the Exchange and the Exchange assumes no responsibility for the contents of this press release, including the correctness of any of the statements or opinions made or reports contained in this press release. The contact person for the Sponsor is Ms. Ng Shi Qing, 16 Collyer Quay, #10-00 Collyer Quay Centre, Singapore 049318, sponsorship@ppcf.com.sg.

Investor Relations Contact:
investor.relations@toku.co

Developers and Partners:
contact@makimoto.ai  

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SOURCE Toku Ltd.

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Conscious Spark LLC Launches Alphimiya® Neuro-Recalibration Framework Designed to Resolve C-Suite Revenue Plateaus

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31 minutes ago

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October 21, 2026

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New research-backed neuro-recalibration framework targets the autonomic nervous system’s threat response to managing high financial amounts, offering enterprise leaders a biological pathway to scaling.

ANTALYA, Turkey and ALBUQUERQUE, N.M., Oct. 21, 2026 /PRNewswire/ — Conscious Spark LLC, a research and advisory firm specializing in applied neuroscience for executive leadership, today announced the official launch of Alphimiya®, a proprietary C-suite neuro-recalibration framework designed to resolve corporate revenue plateaus by upgrading the biological capacity of enterprise decision-makers.

Developed to address the root causes of stalled enterprise growth, the Alphimiya® framework targets the human autonomic nervous system’s subconscious threat response to managing high financial amounts. When commercial leaders and CEOs attempt to scale past historical capital thresholds without recalibrating their stress response, the body’s natural survival mechanism triggers decision fatigue, strategic risk aversion, and systemic self-sabotage. Alphimiya® recalibrates this biological safety brake, enabling executive teams to hold, absorb, and scale larger financial volumes without physiological or operational friction.

“A corporate revenue plateau is rarely an operational or marketing failure; it is a biological safety brake embedded within executive leadership,” stated Dr. Ahmed Al-Nashi, Founder of Conscious Spark LLC. “When managing high financial amounts triggers an underlying physical stress response, the enterprise subconsciously contracts to remain in its perceived safe zone. Alphimiya® removes that biological friction, allowing C-level leaders to multiply revenue with calm, biological authority.”

The Alphimiya® framework restructures executive performance across three core operational pillars:

Sovereign Enterprise Scaling: Expands the nervous system’s tolerance for high-stakes capital, allowing leadership teams to scale revenue without experiencing executive burnout.

High-Value Deal Execution: Regulates autonomic stress responses during multi-million-dollar negotiations and volatile market entries, eliminating hesitation under pressure.

Restored Strategic Clarity: Removes chronic decision fatigue across C-suite teams, restoring mental focus and strategic presence inside and outside the boardroom.

By recalibrating the autonomic nervous system’s response to high capital exposure, Alphimiya® removes the subconscious biological brakes that lock corporate revenue at a standstill. Senior C-level executives and enterprise leadership teams seeking to evaluate their organization’s biological capacity can access the official executive briefing, case studies, and framework assessment directly at https://alphimiya.co/.

About Conscious Spark LLC

Conscious Spark LLC is a U.S.-registered firm specializing in executive education, training, and strategic performance consulting. Pioneering applied neuroscience for C-level leaders, founders, and commercial decision-makers, the firm utilizes its proprietary Alphimiya® methodology to enable leadership teams to recalibrate biological stress responses, resolve revenue ceilings, and build scalable corporations.

Media Relations Team
Conscious Spark LLC
Email: hello@consciousspark.online 
Website: https://alphimiya.co/

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SOURCE Conscious Spark LLC

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Daffodil Software Brings Multilingual Conversational AI to Aadhaar’s Udai Mascot

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31 minutes ago

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October 21, 2026

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GURUGRAM, India, Oct. 21, 2026 /PRNewswire/ — Daffodil Software showcased an AI-powered conversational experience featuring UIDAI’s Udai mascot at Aadhaar Samvaad 2026. Developed by Daffodil Software, the assistant is designed to help users access Aadhaar-related information through natural conversation, using official UIDAI as its reference knowledge base.

Daffodil Software has developed Udai, an AI-powered virtual mascot that helps users get clear, reliable answers about Aadhaar simply by talking to it. The assistant was showcased at Aadhaar Samvaad 2026, held in Kolkata on 29 September, coinciding with the 17th Aadhaar Day, where visitors watched it listen, respond, and gesture in real time in their own language.

For most people, questions about Aadhaar come up in daily life, and they usually need answers fast. Which documents do I need for an address change? How much does an update cost? How do I link Aadhaar to my bank account or mobile number? The answers exist, but finding them usually means working through long help pages and documents.

 Udai is designed to answer exactly these questions in a natural conversation, without anyone having to search through long help pages.

A conversation in the user’s own language

Udai speaks and understands 11 languages: Hindi, Tamil, Bengali, Telugu, Kannada, Malayalam, Marathi, Gujarati, Punjabi, Odia, and English. A user simply asks a question. Udai listens, works out the answer, and replies in the same language, with natural speech, matching lip movements and expressive hand gestures.

What sets Udai apart is how it is built. AI avatars rely on expensive, specialised graphics hardware to bring a face to life. Udai takes a simpler route. The character is created from pre-filmed footage, and its lip movements are matched to its speech in real time using lightweight processing that runs in a web browser.

The result is a smooth experience at 24 frames per second on ordinary servers, at a fraction of the usual cost per user. For a programme that serves hundreds of millions of people, that efficiency is what turns a nationwide rollout from an ambition into a practical plan.

“Our focus with Udai was to make Aadhaar-related information easier to access through natural conversation. Combining multilingual voice interaction with official reference content allowed our team to build an experience that is practical, approachable, and useful to users,” said Yogesh Agarwal, Founder and CEO, Daffodil Software.

Answers drawn only from official sources

The assistant uses official UIDAI material as its reference knowledge base: frequently asked questions, provisions of the Aadhaar Act, and government policy documents on Aadhaar services. It covers the topics users ask about most:

Enrolment and registrationAddress and demographic updatesFees, required documents and eligibilityeKYC and Virtual IDLinking Aadhaar with bank accounts, PAN and mobile numbersmAadhaar servicesGrievance redressal

Users don’t need to phrase their questions in any particular way. Udai understands everyday language, whether a question is spoken in English, Hindi, or asked in a mix of both, and finds the most relevant official information to answer it.

Built to be accurate, respectful, and secure

When a public service speaks directly to users, trust matters as much as convenience. Udai is protected by three layers of safeguards.

Accuracy first. Udai answers only from its verified knowledge base. Responses are grounded in a curated knowledge base of official UIDAI material. If a question falls outside Aadhaar, it guides the user back rather than offering an answer it cannot stand behind.

Respectful conversations. A screening layer catches abusive or offensive language in English, Hindi, and Hinglish before it reaches the assistant. Screening is designed to identify abusive language while supporting legitimate queries

Protection against misuse. Udai cannot be talked into abandoning its role, pretending to be someone else, revealing its internal setup, or answering beyond its approved scope. These checks work almost instantly, so users experience no delay.

What comes next?

Udai is planned to roll out in two phases.

In the first phase, the mascot will be placed in Aadhaar Centres. Visitors will be able to check information and understand processes on their own, such as which documents they need for an address change. This frees centre staff to focus on their core work instead of answering the same questions again and again.

In the second phase, Udai will come to the Aadhaar website and mobile app, taking the place of the current text-based chatbot, which was also built by Daffodil.

About Daffodil Software

Daffodil Software is a software engineering and AI solutions company serving businesses across industries. Its services span software consulting, product engineering, UI/UX design, AI/ML development, quality assurance, cloud and DevOps, and maintenance. The company serves sectors including healthcare, fintech, banking, technology, and digital commerce. Its client portfolio includes organizations such as the Reserve Bank of India, Mount Sinai Hospital, Maruti, Samsung, Pramerica Insurance, and Dangote Group. Daffodil Software has also been featured in industry research and recognition by Gartner, Everest Group, Zinnov, and Frost & Sullivan. For more information, visit https://www.daffodilsw.com

Media contact

Kunwar Pal Singh
media-relations@daffodilsw.com

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