Connect with us

Technology

AI-Driven Cardiac Diagnostics Market to Reach USD 2.8 Billion by 2036 Amid Rising Demand for Faster and Data-Driven Cardiac Care | Future Market Insights

Published

on

NEWARK, Del., July 29, 2026 /PRNewswire/ — According to Future Market Insights, the AI-Driven Cardiac Diagnostics Market is valued at USD 903.2 million in 2026 and is projected to reach USD 2,805.1 million by 2036, expanding at a 12.0% CAGR during the forecast period. According to the latest market study, growth is driven by increasing cardiovascular disease prevalence, rising demand for early risk identification, growing adoption of artificial intelligence-enabled healthcare solutions, and the need to improve diagnostic efficiency across hospitals and cardiac care facilities.

Healthcare providers are increasingly adopting AI-powered diagnostic platforms to enable faster ECG interpretation, cardiac imaging analysis, and risk assessment. Hospitals are using these solutions to reduce diagnostic delays, prioritize critical cases, and improve workflow efficiency while maintaining clinical oversight.

The growing cardiovascular disease burden is accelerating investment in AI-driven cardiac diagnostics. Healthcare systems are seeking scalable solutions to manage rising patient volumes, specialist shortages, and complex cardiac monitoring needs, driving demand for machine learning, cloud-based platforms, and integrated clinical workflows.

Get detailed market forecasts, competitive benchmarking, and pricing trends: https://www.futuremarketinsights.com/reports/sample/rep-gb-34098 

Key Market Numbers

Metric

Value

Market Value (2026)

USD 903.2 Million

Forecast Value (2036)

USD 2,805.1 Million

CAGR (2026–2036)

12.0 %

Leading Technology

Machine Learning (30.5%)

Leading Application

Arrhythmia Detection (31.4%)

Leading End User

Hospitals (33.5%)

Leading Deployment

Cloud-Based (64.0%)

Fastest Growing Country

South Korea (13.4% CAGR)

Market Growth Accelerates Through 2036

The AI-driven cardiac diagnostics market is expected to experience consistent expansion throughout the forecast period, increasing from USD 903.2 million in 2026 to USD 2,805.1 million by 2036, representing an absolute growth opportunity of USD 1,901.9 million.

Growth is supported by rising healthcare digitization, increasing cardiovascular disease screening requirements, and wider integration of AI into diagnostic workflows. Hospitals are moving beyond standalone diagnostic tools toward connected platforms that combine automated analysis, clinical decision support, and centralized data management.

Segment Analysis

Technology:

Machine Learning accounts for approximately 30.5% of the AI-driven cardiac diagnostics market in 2026.

Machine learning technologies are widely adopted due to their ability to analyze ECG patterns, identify abnormalities, support risk prediction, and improve classification accuracy. Their flexibility allows healthcare providers to apply AI capabilities across multiple cardiac diagnostic applications.

Cardiology departments are increasingly using machine-learning-powered systems to prioritize abnormal results, reduce manual review workload, and improve diagnostic efficiency.

Application:

Arrhythmia Detection represents approximately 31.4% of market demand in 2026.

Arrhythmia detection remains the leading application segment due to the high volume of ECG data generated across hospitals, outpatient centers, and remote monitoring services. AI algorithms help identify irregular heart rhythms, support early intervention, and reduce the burden on cardiac specialists.

Increasing adoption of wearable cardiac monitoring devices and continuous ECG monitoring solutions is further expanding opportunities for AI-based rhythm analysis.

End User:

Hospitals account for approximately 33.5% of the market in 2026.

Hospitals remain the dominant end-user segment due to their access to advanced diagnostic equipment, specialist teams, and large volumes of cardiac patient data.

Hospital networks are adopting AI-driven cardiac diagnostic platforms to improve workflow coordination between cardiology, radiology, and emergency care departments. Integration with electronic health records and existing clinical systems is becoming a key factor influencing purchasing decisions.

Deployment:

Cloud-Based deployment is projected to maintain approximately 64.0% market share from 2026.

Cloud-based platforms are gaining traction due to their scalability, centralized software management, and ability to support multi-site healthcare networks. Hospitals and diagnostic providers prefer cloud solutions because they reduce infrastructure requirements and simplify software updates.

However, healthcare providers continue evaluating data security, compliance requirements, and service reliability before large-scale implementation. Vendors offering secure cloud environments with strong interoperability capabilities are expected to gain competitive advantages.

Access the Complete Report in PDF Format: https://www.futuremarketinsights.com/reports/brochure/rep-gb-34098 

Country Growth Outlook

Country

CAGR (2026–2036)

South Korea

13.4 %

USA

12.8 %

Germany

10.7 %

UK

10.3 %

Japan

9.2 %

South Korea is expected to record the fastest growth, supported by connected hospital networks, digital healthcare infrastructure, and increasing adoption of AI-enabled diagnostic workflows.

The USA continues to represent a significant growth market due to advanced healthcare infrastructure, reimbursement pathways, and strong investment in artificial intelligence-based medical technologies.

Germany and the UK are witnessing increasing adoption driven by healthcare digitalization initiatives and demand for evidence-based diagnostic solutions. Japan’s growth is supported by an aging population and the need for efficient cardiac care management.

Competitive Landscape

Competition in the AI-driven cardiac diagnostics market is focused on algorithm performance, clinical validation, workflow integration, and healthcare system compatibility.

Leading companies are developing AI platforms that combine ECG interpretation, cardiac imaging analysis, predictive analytics, and clinical decision-support capabilities.

Key companies operating in the market include:

GE HealthCarePhilipsEko HealthHeartflowAliveCorTempus AIViz.aiCleerlyCardiologs (Philips)

Market participants are strengthening their positions through regulatory approvals, strategic partnerships, cloud-based platforms, and integration with existing hospital information systems.

Analyst Perspective

“AI-driven cardiac diagnostics is moving from experimental adoption toward practical clinical implementation. The commercial success of these platforms will depend on measurable improvements in diagnostic efficiency, workflow integration, and clinician confidence. Companies that combine validated algorithms with scalable deployment models will be better positioned for long-term growth.”— Anurag Sharma, Principal Analyst at Future Market Insights

Frequently Asked Questions

What is the projected size of the AI-Driven Cardiac Diagnostics Market by 2036?
The market is projected to reach USD 2,805.1 million by 2036.

What is the CAGR of the AI-Driven Cardiac Diagnostics Market?
The market is expected to grow at a 12.0% CAGR between 2026 and 2036.

Which technology segment leads the market?
Machine Learning leads the technology segment with approximately 30.5% share in 2026.

Which application segment dominates the market?
Arrhythmia Detection leads the application segment with approximately 31.4% share in 2026.

Which end user generates the highest demand?
Hospitals account for approximately 33.5% market share in 2026.

Which country is expected to record the fastest growth?
South Korea is forecast to grow at 13.4% CAGR through 2036, making it the fastest-growing market.

FMI Custom Research: Strategic Intelligence for Confident Decision-Making

In today’s rapidly evolving business environment, leadership teams need more than market data—they need clear, actionable intelligence tailored to their strategic objectives. FMI’s Custom Research solutions are designed around the specific business questions organizations need answered, enabling executives to evaluate growth opportunities, validate investments, assess competitive dynamics, and reduce uncertainty before making critical decisions. By combining deep industry expertise, primary research, and proprietary market intelligence, FMI delivers insights that help organizations move from assumptions to evidence-based strategies with greater speed and confidence.

Key Executive Benefits

• Decision-Ready Insights: Research tailored to your specific business challenges, growth plans, and investment priorities.
• Reduced Strategic Risk: Validate market opportunities, customer demand, and competitive positioning before committing resources.
• Market Entry Confidence: Assess opportunity size, regulatory barriers, channel dynamics, and competitive landscapes with precision.
• Competitive Advantage: Gain proprietary intelligence unavailable through syndicated reports or internal datasets.
• Faster Growth Decisions: Accelerate expansion, product development, portfolio optimization, and investment planning.
• Primary Market Validation: Access real-world customer, buyer, and stakeholder insights that support high-confidence decision-making.
• Global Industry Expertise: Powered by 100+ analysts, 20,000+ published reports, and 1.6 million+ hours of research experience.
• Proven Track Record: Over 7,000 market-entry engagements completed across six regions and 14 industry sectors with strong client retention.

Business Impact

FMI helps organizations transform market complexity into strategic clarity, enabling leadership teams to identify growth opportunities faster, optimize resource allocation, strengthen competitive positioning, and make high-stakes business decisions with confidence.

To explore how FMI Custom Research can support your strategic priorities, please connect with our team at – sales@futuremarketinsights.com 

Related Reports:

Cardiac Ambulatory Monitoring Patch Data Services Market: https://www.futuremarketinsights.com/reports/cardiac-ambulatory-monitoring-patch-data-services-market 

Cardiac Rhythm Management Devices Market: https://www.futuremarketinsights.com/reports/cardiac-rhythm-management-devices-market 

Cardiac Ambulatory Monitoring Market: https://www.futuremarketinsights.com/reports/cardiac-ambulatory-monitoring-market 

Cardiac Rhythm Remote Monitoring Devices Market: https://www.futuremarketinsights.com/reports/cardiac-rhythm-remote-monitoring-devices-market 

Cardiac Ultrasound Systems Market: https://www.futuremarketinsights.com/reports/cardiac-ultrasound-systems-market 

About Future Market Insights (FMI)

Future Market Insights (FMI) is a global market intelligence and consulting firm providing comprehensive market research, competitive intelligence, and strategic business insights across industries. The firm delivers detailed forecasts, technology analysis, and data-driven recommendations that support informed decision-making for manufacturers, investors, distributors, and policymakers worldwide.

For Press & Corporate Inquiries
Rahul Singh
AVP – Marketing and Growth Strategy
Future Market Insights, Inc.
+91 8600020075
For Sales – sales@futuremarketinsights.com
For Media – Rahul.singh@futuremarketinsights.com
For web – https://www.futuremarketinsights.com/

 

 

 

View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/ai-driven-cardiac-diagnostics-market-to-reach-usd-2-8-billion-by-2036-amid-rising-demand-for-faster-and-data-driven-cardiac-care–future-market-insights-302837545.html

Continue Reading

Technology

Pigment Raises $250M at $2.3B Valuation

Published

on

By

Series E raise is led by Scaleup Europe Fund managed by EQT, with participation from existing investors, WIL (World Innovation Lab), and a planned investment from NVIDIA

New capital accelerates Pigment’s move toward autonomous planning, powered by its proprietary Graphite engine

PARIS, Oct. 21, 2026 /CNW/ — Pigment, the AI business planning and performance management platform, today announced a $250 million Series E funding round at a $2.3 billion valuation. The round was led by Scaleup Europe Fund, managed by EQT, with participation from WIL (World Innovation Lab), existing investors including Greenoaks, ICONIQ, IVP, and Meritech, and a planned investment from NVIDIA.  This capital will accelerate Pigment’s mission to move fast toward autonomous planning for global enterprises.

The investment comes on the heels of a milestone year for Pigment, which surpassed $100 million in Annual Recurring Revenue (ARR) earlier this year, once again doubling year-over-year. Adoption of Pigment’s AI is also accelerating: today, 85% of new metrics in Pigment are created by an Agent. The fundraise puts Pigment in a position to build on this momentum and expand its presence and growth in new regions.

Pigment has rapidly cemented itself as the enterprise-ready platform of choice for large enterprises like Danone, DirecTV, Siemens, Snowflake, ServiceNow, and Unilever displacing legacy incumbents. And, instead of building internal solutions, the world’s most AI-savvy and engineering-dense organizations, including Anthropic, ElevenLabs, and Uber, trust Pigment to serve as the reasoning runtime for their enterprise data.

A commitment to technical superiority and continuous innovation is why some of the largest organizations trust Pigment to replace their legacy systems. It also ensures that Pigment has the capacity to seamlessly support massive global deployments, such as its recent selection by L’Oréal, who is replacing its salary planning tool for their 95,000+ employees globally by deploying Pigment.

On the raise, Pigment Co-Founders Eléonore Crespo and Romain Niccoli said, “Enterprise planning will change more in the next few years than it has in the last thirty. Legacy tools are being left behind, and the world’s most advanced AI companies now run their planning on Pigment. With the backing of our investors, we are moving fast to make autonomous planning a reality for every enterprise. With AI agents running planning workflows end to end and turning decisions into action, companies can respond to change as fast as it happens.”

Enterprise-Ready Scale and Engineering

This $250 million injection will significantly accelerate Pigment’s R&D and fuel the expansion of Pigment’s engineering team, focused on its proprietary, patent-pending compute engine, Graphite, and the AI agents that run on it.

AI agents are only as good as the engine underneath them. Graphite already lets thousands of AI agents and people work on the same governed model at once, scaling to hundreds of billions of data points with deterministic, fully traceable results. That is what makes autonomous planning possible: agents can only be trusted to run planning workflows and act on the results when every number they produce is accurate and every action can be traced. With this funding, Pigment will keep advancing Graphite to handle even larger and more complex workloads, while extending its agents from building models and analyzing data to running planning workflows end to end.

“In most companies, the richest picture of how a business actually runs sits in its plans. Pigment has built that foundation with a single platform connecting finance, sales and workforce planning – and put AI agents to work on it, helping teams model, analyse and act in hours rather than months. Eléonore and Romain have built a global category leader from Paris, and that is exactly the kind of company the Scaleup Europe Fund was created to back,” said Shannee Braun, Managing Director, EQT and Scaleup Europe Fund.

Try Pigment for free at pigment.com

About Pigment

Pigment is an AI business planning and performance management platform. Built for the complexity of modern enterprises, Pigment combines dynamic modeling with autonomous AI agents and an intuitive UX, to help teams make intelligent decisions with speed and clarity. Across finance, sales, supply chain, and other business functions, teams at companies like Unilever, Snowflake, and Anthropic use Pigment every day to anticipate change, plan ahead, and act with confidence. Try Pigment for free for 14 days at Pigment.com. 

About the Scaleup Europe Fund, managed by EQT

The Scaleup Europe Fund, managed by EQT, is a commercially driven alternative investment fund backing ambitious European technology companies with the potential to become global leaders. Targeting €5 billion, the Fund brings together public and private capital and invests across DeepTech, AI Apps and Life Sciences.
http://scaleupeuropefund.eu/

About EQT

EQT is a global investment organization with a Nordic heritage and more than three decades of experience developing companies. With €341 billion in total assets under management, EQT invests across the full lifecycle of companies, from start-up to maturity.
https://eqtgroup.com/

View original content to download multimedia:https://www.prnewswire.com/news-releases/pigment-raises-250m-at-2-3b-valuation-302914892.html

SOURCE Pigment

Continue Reading

Technology

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

Published

on

By

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  

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/toku-launches-makimoto-flows-a-visual-builder-for-speech-ai-pipelines-taking-its-open-source-initiative-beyond-transcription-302914906.html

SOURCE Toku Ltd.

Continue Reading

Technology

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

Published

on

By

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/

View original content to download multimedia:https://www.prnewswire.com/news-releases/conscious-spark-llc-launches-alphimiya-neuro-recalibration-framework-designed-to-resolve-c-suite-revenue-plateaus-302901454.html

SOURCE Conscious Spark LLC

Continue Reading

Trending