Tools & Platforms
AI in medical imaging set to become $46.6B market within decade

Artificial intelligence is increasingly transforming the health care industry, pushing major companies toward partnerships, acquisitions and innovation. AI solutions designed to enhance the comfort of both doctors and patients are reshaping clinical practices.
Software-driven imaging solutions, including AI, cloud platforms and integration systems, now account for 60% of the sector’s total revenue. This segment is growing at an annual rate of 43%, making it the fastest-expanding area within health care AI.
The global market for artificial intelligence-powered diagnostics, valued at $1.9 billion in 2024, is projected to surge to $46.6 billion by 2034, growing at an annual rate of 33.7%, according to recent research.
While AI in imaging leads the charge, AI-driven patient management tools and clinical decision support systems are also expanding rapidly, allowing startups to capture significant market share from industry giants.
Partnerships and acquisitions
Machine learning remains the most widely adopted AI technology in health care, used by 48% of organizations, followed by investments in computer vision, natural language processing (NLP), cloud-based systems and 3D/4D imaging technologies.
Siemens Healthineers has emerged as one of the most active players, striking a partnership with Google Cloud to expand its AI and cloud capabilities. Siemens has also acquired nuclear medicine startup Advanced Accelerator Applications (AAA) from Novartis and bought Dotmatics, a specialist in life sciences software.
Other tech companies are increasingly pivoting toward life sciences. France’s Dassault Systemes, for instance, now generates a significant portion of its revenue from the health care sector. Meanwhile, GE continues to invest in AI-driven startups, and Philips has ramped up restructuring and compliance-focused investments.
Over 100 startup collaborations
Amira Romani, senior vice president responsible for innovation and strategy ecosystems at Siemens Healthineers, stated that as part of their corporate culture, they believe they cannot solve all health-related problems alone.
“Innovation is born not in isolation, but through collaboration. Our focus is to identify win-win scenarios that create greater impact for patients. This could involve startups or large tech companies, depending on the use case,” said Romani.
“We are currently collaborating with more than 100 startups worldwide, integrating their solutions into our product portfolio or adopting new innovations. At the same time, we are forming partnerships with major tech firms that can drive transformation in healthcare,” she noted.
“Let me emphasize again: what matters most is the patient. The goal is not just to bring companies together, but to deliver tangible solutions that improve patient outcomes.”
Binging various technologies
Romani described AI as “the glue” that binds various technologies in health care together, saying that when used correctly, it enables early diagnosis, detection and personalized treatments for diseases.
“For me, AI acts as the glue that connects all these technologies. But doing AI just for the sake of AI is meaningless. The real goal is to integrate it into every aspect of healthcare, devices, workflows and solutions, to increase efficiency for both patients and healthcare professionals. We are accelerating this transformation by investing in scalable AI applications,” she noted.
Investments in AI-powered healthcare startups are also rising in Türkiye.
One of the country’s leading telecoms and technology companies, Türk Telekom’s venture capital arm, TT Ventures, has backed several healthtech startups, including Virasoft and Albert Health, as well as accelerator alumni Aivisiontech and Hevi AI.
These startups are driving advances in early diagnosis, chronic disease management and preventative health care.
Sharing Türkiye’s solutions with world
Romani noted that Siemens Healthineers opened an innovation center in Istanbul two months ago.
“The energy of the local ecosystem here is inspiring. This passion for innovation and solution-driven thinking convinced us that we must have a deeper presence in Türkiye,” she noted.
“We are now collaborating with startups, government bodies, and other sectors to better understand the Turkish ecosystem. Our goal is to scale solutions developed here to the global market. After all, many health care challenges are universal – if we can solve them here, why not bring those solutions to the world?”
AI startup count in Türkiye grows 17-fold in 8 years
The number of artificial intelligence startups in Türkiye has jumped 17-fold over the past eight years, reaching 411 as of the second quarter of 2025, according to the latest update of the Türkiye AI Startup Map by the Türkiye Artificial Intelligence Initiative (TRAI).
TRAI, which aims to foster institutional and societal AI awareness and strengthen the country’s AI ecosystem, added 20 new startups to its map this quarter. Back in 2017, there were only 24 AI-focused startups operating in Türkiye.
The explosive growth reflects both the rapidly evolving nature of AI technologies and the agility of startups in adapting to them.
A significant share of these ventures is concentrated in technology-driven segments such as generative AI, smart platforms, computer vision and machine learning, highlighting the shifting landscape of Türkiye’s AI ecosystem.
Generative AI leads momentum
Generative AI continues to dominate startup activity in Türkiye. Of the 20 startups added in the second quarter of 2025, six are focused on generative AI solutions, pointing to sustained momentum in the sector.
Three new startups were added under the smart platforms category, and two each in computer vision and machine learning.
The remaining startups are spread across various AI applications, including natural language processing (NLP), data analytics, IoT, infrastructure services and chatbots.
Local startups are increasingly developing solutions in content creation, large language models, AI-powered search assistants and personalized AI applications, demonstrating that these technologies are gaining both strategic and competitive significance within Türkiye’s AI ecosystem.
The growing adoption of generative AI also signals a broader transformation that is reshaping the local innovation landscape.
Maturity of Türkiye’s AI scene
Can Sinemli, general manager of TRAI, said the latest data underscores the increasing maturity of Türkiye’s AI startup scene.
“The number of startups surpassing 400 points not only signifies a quantitative increase but also a qualitative and specialized growth. Each new addition to our map enriches the diversity of technologies and application areas. This dynamic structure offers attractive opportunities for investors while also creating a strong foundation for collaboration,” said Sinemli.

“The transformation driven by frontier technologies like generative AI marks a significant step toward enhancing the global competitiveness of Türkiye’s ecosystem.”
Corporates increase engagement
Interest from established corporations is also growing.
TT Ventures, the venture capital arm of Türk Telekom, one of Türkiye’s leading telecoms and technology companies, has invested in several AI startups through its accelerator program, Pilot and its portfolio fund.
Among the standouts are Segmentify, which provides AI-powered personalized recommendation engines for e-commerce, Mindsite, offering an AI platform for real-time marketing insights across digital commerce channels, and Mistikist, which combines neuroscience with AI to develop tools for reducing mental stress and anxiety.
Among others is the T4 People Analytics, an AI-driven HR platform that analyzes workforce data to deliver employee-centered insights.
Turkish 212 NexT fund backs French sustainable dye startup EverDye
Türkiye’s first vertical deep-technology fund, 212 NexT, has joined the 15 million euros ($17.57 million) Series A funding round of French textile technology startup EverDye, which develops environmentally friendly dyeing solutions.
The investment reflects 212 NexT’s strategy to support scalable deep-tech ventures tackling industrial sustainability challenges. EverDye, founded in 2021, produces bio-based pigments and low-energy, room-temperature dyeing technologies aimed at revolutionizing the textile industry’s heavy environmental footprint.
Strong investor consortium
The round was co-led by France-based venture capital firm Daphni and Credit Mutuel Innovation, the investment arm of Credit Mutuel Group. Other participants included the European Innovation Council (EIC), Ring Capital, and existing investors Asterion Ventures and Maki.vc, alongside 212 NexT.
EverDye CEO Philippe Berlan said dyeing processes account for nearly half of the textile industry’s greenhouse gas emissions.
“At EverDye, we’ve developed a solution that can reduce this impact in one-third of the time, using significantly less energy and environmentally friendly ingredients,” Berlan noted.
Gizem Yağız, managing partner at 212 NexT, emphasized the strategic importance of the investment.
“EverDye offers a scalable and industry-integrable high-tech solution to some of the most deep-rooted environmental challenges in the textile sector,” Yağız said.
“By meaningfully reducing energy and water consumption while providing cost advantages to manufacturers, the technology proves to be not only sustainable but also economically attractive.”
Textile sustainability breakthrough
EverDye aims to radically reduce the environmental footprint of the textile industry. The startup’s technology enables dyeing in one-third the time of traditional processes, using significantly less energy and environmentally friendly ingredients.
Its commercial maturity was demonstrated through a successful capsule collection with Adore Me, a leading U.S. apparel brand owned by Victoria’s Secret. With its new investment, EverDye plans to scale its pilot-proven technology to an industrial level and forge broader collaborations with global textile brands.
AI shift: Tech leaders, academics explore enterprise transformation
Leaders from PwC, Nvidia, Red Hat and OdineLabs, alongside academics from Georgia Tech and Istanbul Technical University, gathered at a high-level event this week to discuss the transformative impact of artificial intelligence on organizations.
In his opening remarks, Alper Tunga Burak, CEO and chairperson of Odine, emphasized that artificial intelligence has evolved beyond being merely a technical concept.
“We are all witnessing how AI is shaping our ways of working, communication infrastructures and corporate strategies. After progressing at a theoretical level for many years, AI began a tangible transformation in our daily lives and business world in the 2010s, driven by the rise of deep learning, growing data volumes, powerful processing capabilities and advancing cloud infrastructures. This transformation is not just a technical development but a strategic choice that offers institutions the opportunity to rethink their processes and strengthen their competitiveness,” said Burak.
“Being aware of the opportunities and impacts created by this strategic evolution initiated by AI, and accelerating the process, will greatly contribute to success.”
Following the opening remarks, OdineLabs Inc. CEO Bülent Kaytaz shared the company’s AI-focused research and development (R&D) vision and technology investments with participants.
The event saw representatives from leading firms such as PwC, Nvidia, Red Hat and OdineLabs delivering presentations spanning a wide range, from AI-powered enterprise decision systems and sustainable network infrastructures to data-driven operations management and next-generation security solutions.
Tools & Platforms
Navigating Geopolitical Risk and Technological Indispensability

The global AI chip market is a battleground of geopolitical strategy and technological innovation, with China’s demand for advanced semiconductors emerging as a critical focal point. For investors, the tension between U.S. export restrictions and China’s push for self-reliance creates a paradox: while geopolitical risks threaten to fragment markets, the indispensable nature of cutting-edge AI hardware ensures sustained demand. Nvidia, a leader in AI chip development, finds itself at the center of this dynamic, balancing compliance with its ambition to retain a foothold in China’s $50 billion AI opportunity [2].
Geopolitical Risk: The U.S. Export Control Conundrum
U.S. export restrictions have reshaped the AI chip landscape in China. In Q2 2025, Nvidia reported zero sales of its H20 AI chips to the region, a direct consequence of stringent export controls and the absence of finalized regulatory guidelines for its new licensing agreement [2]. This vacuum has allowed domestic competitors like Cambricon to surge, with the company’s revenue jumping 4,300% in the first half of 2025 [1]. The U.S. government’s 100% tariffs and revocation of VEU licenses have further fragmented global supply chains, compelling firms like AMD and Nvidia to develop lower-performance chips for China while TSMC shifts capital expenditures to the U.S. and Europe [1].
Yet, these restrictions have not eradicated demand for advanced AI hardware. China’s AI industry, supported by state-led investment funds and subsidized compute resources, is projected to grow into a $3–4 trillion infrastructure boom by 2030 [3]. The National Integrated Computing Network, a state-backed initiative, underscores Beijing’s commitment to building a self-sufficient ecosystem [4]. However, bottlenecks persist: limited access to EUV lithography and global supply chain integration remain significant hurdles [4].
Technological Indispensability: The Unmet Need for Performance
Despite China’s strides in self-reliance, the gap between domestic and U.S. semiconductor capabilities remains stark. Companies like Huawei and SMIC are closing this gap—Huawei’s CloudMatrix 384 and SMIC’s 7nm production expansion are notable advancements [1]. However, the performance of these chips still lags behind Nvidia’s Blackwell GPU, which offers unparalleled efficiency for large-scale AI training. This technological disparity has driven Chinese firms like Alibaba to invest in homegrown solutions, including a new AI chip, while still relying on U.S. technology for critical applications [2].
Nvidia’s recent development of the B30 chip—a China-compliant variant of the Blackwell GPU—exemplifies its strategy to navigate these challenges. By adhering to U.S. export restrictions while retaining performance, the B30 aims to secure market access in a landscape where even restricted chips are indispensable [3]. This approach mirrors the broader trend of “compliance-driven innovation,” where firms adapt to geopolitical constraints without sacrificing technological relevance.
Strategic Implications for Investors
For investors, the key lies in assessing how companies balance compliance with innovation. Nvidia’s ability to pivot to the B30 chip highlights its resilience, but the absence of H20 sales in Q2 2025 underscores the fragility of its China strategy [2]. Meanwhile, domestic players like Cambricon and SMIC offer high-growth potential but face long-term challenges in overcoming U.S. export controls and achieving parity with Western rivals [1].
The AI infrastructure boom, however, presents a universal opportunity. As global demand for advanced compute surges, firms that can navigate geopolitical risks—whether through compliance, localization, or hybrid strategies—will dominate. China’s push for self-reliance, while reducing its dependence on U.S. chips, also creates a fertile ground for innovation, with startups like DeepSeek optimizing FP8 formats for local hardware [1].
Conclusion
Nvidia’s experience in China encapsulates the dual forces shaping the AI chip sector: geopolitical risk and technological indispensability. While U.S. export controls have disrupted its access to the Chinese market, the company’s strategic adaptations—such as the B30 chip—demonstrate its commitment to maintaining relevance. For investors, the lesson is clear: the AI race is not just about hardware but about navigating a complex web of policy, innovation, and market dynamics. As China’s self-reliance drive accelerates, the winners will be those who can bridge the gap between compliance and cutting-edge performance.
Source:[1] China’s AI Chip Revolution: The Strategic Imperative and Investment Opportunities in Domestic Semiconductor Leaders [https://www.ainvest.com/news/china-ai-chip-revolution-strategic-imperative-investment-opportunities-domestic-semiconductor-leaders-2508/][2] Alibaba reportedly developing new AI chip as China’s Xi rejects AI’s ‘Cold War mentality’ [https://ca.news.yahoo.com/alibaba-reportedly-developing-ai-chip-123905455.html][3] Navigating Geopolitical Risk in the AI Chip Sector: Nvidia Remains a Strategic Buy Amid Chinese Restrictions [https://www.ainvest.com/news/navigating-geopolitical-risk-ai-chip-sector-nvidia-remains-strategic-buy-chinese-restrictions-2508/][4] Full Stack: China’s Evolving Industrial Policy for AI [https://www.rand.org/pubs/perspectives/PEA4012-1.html]
Tools & Platforms
How AI Can Strengthen Your Company’s Cybersecurity – New Technology

Key Takeaways:
- Using AI cybersecurity tools can help you detect threats
faster, reduce attacker dwell time, and improve your
organization’s overall risk posture.
- Generative AI supports cybersecurity compliance by accelerating
breach analysis, reporting, and regulatory disclosure
readiness.
- Automating cybersecurity tasks with AI helps your business
optimize resources, boost efficiency, and improve security program
ROI.
Cyber threats are evolving fast — and your organization
can’t afford to fall behind. Whether you’re in healthcare, manufacturing, entertainment, or another dynamic industry,
the need to protect sensitive data and maintain trust with
stakeholders is critical.
With attacks growing in volume and complexity, artificial
intelligence (AI) offers powerful support to help you detect
threats earlier, respond faster, and stay ahead of changing
compliance demands.
Why AI Is a Game-Changer in Cybersecurity
Your business is likely facing more alerts and threats than your
team can manually manage. Microsoft reports that companies face
over 600 million cyberattacks daily — far
beyond human capacity to monitor alone.
AI tools can help by automating key aspects of your cybersecurity strategy, including:
- Real-time threat detection: With
“zero-day attack detection”, machine learning identifies
anomalies outside of known attack signatures to flag new threats
instantly.
- Automated incident response: From triaging
alerts to launching containment measures without waiting on human
intervention.
- Security benchmarking: Measuring your defenses
against industry standards to highlight areas for improvement.
- Privacy compliance support: Tracking data
handling and reporting to meet regulatory requirements with less
manual oversight.
- Vulnerability prioritization and patch
management: AI can rank identified weaknesses by severity
and automatically push policies to keep systems up to date.
AI doesn’t replace your team — it amplifies their
ability to act with speed, precision, and foresight.
Practical AI Use Cases to Consider
Here are some ways AI is currently being used in cybersecurity
and where it’s headed next:
1. Summarize Incidents and Recommend Actions
Generative AI can instantly analyze a security event and draft
response recommendations. This saves time, supports disclosure
obligations, and helps your team update internal policies based on
real data.
2. Prioritize Security Alerts More Efficiently
AI triage tools analyze signals from across your environment to
highlight which threats require urgent human attention. This allows
your staff to focus where it matters most — reducing risk and
alert fatigue.
3. Automate Compliance and Reporting
From HIPAA to SEC rules to state-level privacy laws, the
regulatory landscape is more complex than ever. AI can help your
organization map internal controls to frameworks, generate
compliance reports, and summarize what needs to be disclosed
— quickly and accurately.
4. Monitor Behavior and Detect Threats
AI can track user behavior, spot anomalies, and escalate
suspicious actions (like phishing attempts or unauthorized access).
These tools reduce attacker dwell time and flag concerns in seconds
— not weeks or months.
5. The Next Frontier: Autonomous Security
The future of AI in cybersecurity includes agentic systems
— tools capable of acting independently when breaches occur.
For instance, if a user clicks a phishing link, AI could
automatically isolate the device or suspend access.
However, this level of automation must be used carefully. Human
oversight remains essential to prevent overreactions — such
as wiping a laptop unnecessarily. In short, AI doesn’t replace
your human cybersecurity team but augments it — automating
repetitive tasks, spotting hidden threats, and enabling faster,
smarter responses. As the technology matures, your governance
structures must evolve alongside it.
Building a Roadmap and Proving ROI
To unlock the benefits of AI, your business needs a strong data
and governance foundation. Move from defense to strategy by first
assessing whether your current systems can support AI —
identifying gaps in data structure, quality, and access.
Next, define clear goals and ROI metrics. For example:
- How much time does AI save in daily operations?
- How quickly are threats identified post-AI deployment?
- What are the cost savings from prevented incidents?
Begin with a pilot program using an off-the-shelf AI product. If
it shows value, scale into customized prompts or embedded tooling
that fits your specific business systems.
Prompt Engineering to Empower Your Team
Your teams can get better results from AI by using structured
prompts. A well-designed prompt ensures your AI tools deliver
clear, useful, business-ready outputs.
Example prompt:
“Summarize the Microsoft 365 event with ID
‘1234’ to brief executive leadership. Include the event
description, threat level, correlated alerts, and mitigation steps
— in plain language suitable for a 10-minute
presentation.”
This approach supports internal decision-making, board
reporting, and team communication — all essential for
managing cyber risks effectively.
Don’t Wait: Make AI Part of Your Cybersecurity
Strategy
AI is no longer a “nice to have”; it’s a core
component of resilient, responsive cybersecurity programs.
Organizations that act now and implement AI strategically will be
better equipped to manage both today’s threats and
tomorrow’s compliance demands.
The content of this article is intended to provide a general
guide to the subject matter. Specialist advice should be sought
about your specific circumstances.
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