Capgemini Uncovers Top 5 Tech Trends to Watch in 2025

Sep 15, 2025

Capgemini unveiled today its “TechnoVision Top 5 Tech Trends to Watch in 2025”, focused on the technologies that are expected to reach an inflection point in the next year. The focus on AI and generative AI (Gen AI) is shared both by executives around the world as well as by the venture capital professionals that were interviewed in a global survey to be published at CES in January 2025. It is anticipated to also have a significant impact on other key technologies which are likely to reach a stage of maturity or breakthrough in 2025.

 

“Last year, Capgemini’s Top 5 Tech Trends predicted the emergence of smaller Gen AI language models and AI agents, both of which came to fruition. We also signaled the importance of Post-Quantum Cryptography, which was confirmed by the publication of the National Institute of Standards and Technology’s standards last summer. And as anticipated, semiconductors have been at the center of attention in 2024 with significant evolution driven by the massive use of AI and generative AI, as well as shifts in market dynamics,” explains Pascal Brier, Chief Innovation Officer at Capgemini and Member of the Group Executive Committee. “In 2025, we see AI and Gen AI having a major impact on companies’ priorities and also on many adjacent technology domains, such as robotics, supply chains, or tomorrow’s energy mix.” 

 

Technologies to watch in 2025

 

  1. Generative AI: From copilots to reasoning AI agents

Generative AI is now entering the dawn of a gentrification where AI systems are evolving from isolated tasks to specialized, interconnected agents. In fact, according to a Capgemini Research Institute survey of 1,500 top executives globally, which will be published in January 2025, 32% of them place AI agents as the top technology trend in data & AI for 2025.  Thanks to the increasing capabilities of logical reasoning in Gen AI models, these will start operating more autonomously while providing more reliable, evidence-based outputs, and will be able to manage tasks such as supply chains and predictive maintenance without constant human oversight. AI systems can handle dynamic decision-making in more sensitive environments where correctness is paramount. The next step will be the rise of a super agent, an orchestrator of multiple AI systems, optimizing their interactions. In 2025, these advancements will enable new AI ecosystems across industries, allowing new levels of efficiency and innovation.

 

Why it matters: With the maturation of AI models, transformer models and other Gen AI architectures have reached new levels of sophistication and accuracy, making multi-agent systems viable for real-world, complex, dynamic decision-making, even in unpredictable situations. This is set to unlock greater potential in industries that rely on quick, flexible responses to unexpected challenges, such as healthcare, law, and financial services.

 

  1. Cybersecurity: New defenses, new threats

AI is transforming cybersecurity, enabling both more sophisticated Gen AI-enhanced cyberattacks and more advanced AI-driven defenses to the point where almost all organizations surveyed (97%) in the recently published Capgemini Research Institute’s report say they have encountered breaches or security issues related to the use of Gen AI in the past year. In recent years, with remote work, companies now face a larger attack surface and greater vulnerability to these threats. In fact, 44% of top execs in the upcoming Capgemini Research Institute report place the impacts of Gen AI in cyber as the top technology topic in cybersecurity for 2025. To mitigate these risks, there have been renewed investments and innovations in endpoint and network security, increased efforts to automate threat detection, especially using AI-driven threat intelligence, as well as an effort to prepare for the future by reinforcing encryption algorithms, in particular the growing interest into Post-Quantum Cryptography to protect against the next expected disruption: quantum-computing threats. This shift marks a broader transformation in how businesses approach security and build trust in their increasingly autonomous systems. 

 

Why it matters: In 2025, generative AI-powered cyberattacks will continue to be more sophisticated and widespread, increasing risks for organizations. In parallel, as AI plays a larger role in decision-making and operational control, ensuring that humans trust these systems will become crucial. But it's not just about being safe—it's about feeling safe. Cybersecurity must address both technical and psychological concerns, ensuring not only protection but confidence in the systems people rely on daily.

 

  1. AI-driven robotics: Blurring the lines between humans and machines

Advancements in AI technology have accelerated the development of next-generation robots, building upon innovations in mechatronics and expanding beyond traditional industrial uses. While robotics used to be dominated by hard-coded, task-specific machines, the development of Gen AI is spurring the development of new products (including humanoid robots and collaborative robots - or cobots) that can adapt to diverse scenarios and learn continuously from their environment. According to the Capgemini Research Institute’s upcoming report, 24% of top executives and 43% of Venture Capitalists see AI-driven automation and robotics as one of the top 3 tech trends in data and AI in 2025. With robots becoming more autonomous and AI taking on complex decision-making roles, the future of work may see a shift in the traditional structure of authority. The rise of AI-powered machines that mimic human behaviors challenges our understanding of leadership, responsibility, and collaboration, ultimately pushing us to reconsider the role of humans.

 

Why it matters: As Industry 4.0 progresses, AI-powered robots will drive efficiency, flexibility, and innovation, becoming key components of intelligent, connected systems that redefine industrial processes. By 2025, advances in natural language processing and machine vision will further enhance their capabilities, allowing robots in manufacturing, logistics, and agriculture to take on more complex roles within the modern workforce.

 

  1. Nuclear: The surge of AI driving the clean tech agenda

The energy industry is in the midst of a transformative shift, with the energy transition accelerating at an unprecedented pace. This change is fueled by mounting pressure to fight climate change and supported by rapid innovations across various sectors, from renewables and biofuels to low carbon Hydrogen and beyond. Nuclear energy stands out as a focal point for 2025: nuclear is re-emerging at the top of the business agenda, propelled by the urgent need for clean, dependable and controllable power that can support the rising energy demands of AI and other high-energy technologies. Although in September/October 2024,   very few top execs globally identified Small Modular Reactors (SMRs) as a top 3 Sustainability technology for 2025, SMR technology development is expected to accelerate by 2025, and other key innovation priorities include strides toward limitless, clean power with nuclear fusion, or Advanced Modular Reactors that differ from light water reactors in the use of new types of fuels and a higher temperature and for some of them the promise to reduce the production of nuclear waste. 

 

Why it matters: Driven by the massive energy demands of AI, major tech players are turning to nuclear energy to meet their growing computing needs. Large-scale investments are expected to further accelerate innovation in reactor technology and waste management, as the tech industry acknowledges that renewables alone cannot sustain its energy demands.

 

  1. New generation supply chains: Agile, greener and AI-assisted 

In the last few years, businesses have had to navigate increasingly complex, unpredictable market conditions. Key technologies including AI, data, blockchain, IoT, and connectivity with Terrestrial Satellite Networks are now playing a strategic role in improving the cost efficiency, resilience, agility, circularity, and sustainability of supply chains. These technologies are allowing companies to enhance their predictive capacities and navigate an ever-changing ecosystem as they have now reached a sufficiently high level of maturity and therefore reliability. Meanwhile, progress in space techs such as low-earth orbit satellite constellations is particularly essential to increase coverage in white spots which is crucial for companies to be able to control their entire supply chains throughout the globe. In fact, according to the Capgemini Research Institute’s upcoming report, 37% of top executives see these new-generation supply chains powered by technologies as the top tech trend in industry and engineering in 2025. Additional regulatory and environmental constraints will make this shift all the more critical to ensure competitiveness, agility and resilience.

 

Why it matters: In 2025, global supply chains will keep facing environmental disruptions, regulatory pressures, and geopolitical tensions which will impact the flow of goods and raw materials. New regulations like the European Union’s Digital Product Passport will make it mandatory for companies to track and disclose the environmental footprint of their products, pushing them to adopt more sustainable practices. 

 

Beyond 2025 - technologies shaping the next 5 years:

 

  1. Engineering biology: BioSolutions to today’s most pressing challenges

While the potential of engineering biology and its ability to transform manufacturing, develop drugs, and produce materials with novel properties has been widely discussed over the past years, this technology is yet to reach its scaling phase. According to the Capgemini Research Institute’s upcoming report, 41% of top executives believe that molecular assembly will reach maturity and become commercially viable by 2030. Meanwhile, 37% of them envision the same for Genomic Therapies. In the coming years, we can look forward to new innovations in this diverse field, such as personalized mRNA vaccines and GenAI for protein design.

 

  1. Quantum computing: on the verge of the quantum leap

According to the upcoming Capgemini Research Institute survey, 55% of top executives and 44% of VCs expect quantum computing to be one of the top 3 technologies within the ‘Computing & Networking’ space which will create a major impact in 2025. 41% of top executives expect to be experimenting with quantum computing Proofs of Concepts with limited use cases, and 27% of the top executives surveyed expect the technology to be partially scaled in some parts of the organization in 2025. The key question is – when will the quantum leap happen, and who will master it?

 

  1. Artificial General Intelligence: I think, therefore AI am? 

AI reasoning capabilities have made spectacular progress over the past 5 years, and some predict an era of artificial general intelligence (AGI). As such, 60% of top executives and 60% of VCs surveyed by the Capgemini Research Institute believe this technology will reach maturity and become commercially viable by 2030. Would this technology basically be able to mimic human intelligence to the point of making it irrelevant? This topic leads to exaggerated predictions, and some now question whether the intelligence potential of the technology is really unlimited.

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Latest Experts Thoughts

Turning Data into Decisions: How Integra City Uses AI to Manage Smart Cities

Ghada Ismail

 

As governments and municipalities worldwide accelerate their digital transformation, artificial intelligence is becoming a cornerstone of modern urban management. From improving public safety and optimizing infrastructure to enabling faster, data-driven decision-making, AI technologies are reshaping how cities operate and respond to the needs of their citizens. This shift toward smarter governance has created new opportunities for technology companies developing integrated platforms that help authorities transform vast amounts of urban data into actionable intelligence.

 

Integra City, headquartered in Dubai, specializes in transforming how cities and governments manage infrastructure, security, and public services through integrated digital platforms. Sharikat Mubasher interviewed Ilya Belyakov, Chief Technical Officer at Integra City, who shared insights about the company and its mission. In this interview, Belyakov discusses how artificial intelligence is reshaping Integra City’s core offerings, the development of AI‑enabled solutions for city and government leaders, and the company’s vision for expansion, including its exploration of opportunities in the Saudi market.

 

How is AI transforming your core business operations, products, or services?
AI has become an incredibly powerful tool across every aspect of our work. I remember a few years ago, when I was defending my PhD in Canada, we were only starting to explore the first versions of AI. Back then, professors were skeptical, warning that students were relying too much on AI and that it would never work effectively. Look at today—AI has evolved dramatically. New versions of models like Gemini and ChatGPT provide deep insights and efficiency gains that were unimaginable just a few years ago.

At Integra City, AI is enhancing not just our software and hardware development but also our research and operational processes. Even though many AI tools aren’t yet fully secure for sensitive work, we find creative ways to integrate them to accelerate development and innovation. Some people say AI is a bubble, but I think technology always progresses. AI isn’t just a trend—it’s becoming foundational to how we operate.

 

What recent AI innovations excite you most at Integra City?
Initially, our work focused heavily on computer vision. We developed our own cameras and smart imaging systems, collaborating with various hardware manufacturers to create tools that analyze and interpret visual data.

But now, with the rise of large language models (LLMs), we see new opportunities to enhance city and government management. These models can process vast amounts of data and provide actionable insights. For example, they can help decision-makers understand complex patterns in city operations, anticipate problems, and prioritize interventions more effectively.

At Integra City, we’re exploring AI tools that can inform not only city planning but also regional and national governance. It’s about giving leaders the intelligence to act proactively rather than reactively.

 

How do Integra City’s AI chatbots support officials in making proactive, data-driven decisions?
We designed our chatbots specifically for management teams within cities, not for public use. For example, imagine a police chief responsible for a district with high crime rates. Our chatbot can analyze data from surveillance systems, emergency response logs, officer performance, and technology deployments. Based on that, it provides actionable recommendations—maybe increasing patrols in certain areas, hiring additional staff, upgrading technology, or optimizing workflows.

This is all part of our flagship product, InCore. InCore integrates all aspects of smart and safe city operations into one ecosystem, allowing different departments and ministries to collaborate efficiently. It’s not just about collecting data—it’s about turning information into insights that decision-makers can use immediately to improve citizen safety, resource allocation, and overall city management.

 

Are you considering collaborations or partnerships in the Saudi market?
Saudi Arabia is a new market for us, so we’re currently exploring opportunities. While we haven’t operated there yet, we have extensive experience in dozens of countries, primarily in Eastern and Southern Africa, East Asia, and some Middle Eastern markets, with our headquarters in Dubai.

We hope to enter the Saudi market soon. Participation in industry events like GITEX would be a strategic way to introduce our solutions. Tentatively, we’re looking at the first quarter of next year—January through March—to start engaging with local partners and stakeholders for our entry into the Saudi Market.

 

Which sectors in Saudi Arabia do you think are most ready for AI transformation?
In most markets, we start with safety, and Saudi Arabia is no different. Safety is broad—it includes citizen safety, tourist safety, and data protection. It’s also connected to smart city initiatives, sustainable urban development, and improving the quality of life. AI can enhance public safety, optimize city operations, and even contribute to sustainable urban planning by analyzing traffic, energy consumption, and public services.

We see Saudi Arabia as a region ready to embrace AI in both governance and infrastructure, creating opportunities to deploy innovative, data-driven solutions at scale.

 

How does Integra City approach responsible and ethical AI deployment?
Responsible AI is critical, especially when working with governments. We strictly adhere to local regulations in every market we operate in. You can’t bring your own rules and expect a ministry or government body to adopt them.

Our solutions are adaptable. We design them to integrate seamlessly into existing government workflows and regulations. Governments are large, complex systems, and imposing a new framework without understanding local procedures can break the mechanism. So, we focus on fitting our tools into existing structures while maximizing efficiency and impact. Ethical deployment is about respecting local laws, procedures, and the operational realities of each city or country.

 

How do you envision AI shaping the broader business landscape in Saudi Arabia?
It’s a challenging question since Saudi Arabia is a new market for us. But looking at the broader Middle East, the region is becoming an AI hub, attracting talent, companies, and innovation. AI adoption is growing across sectors, from government services to infrastructure, and Saudi Arabia, as one of the largest and most influential countries in the region, is following this trajectory.

We expect AI to drive efficiency, innovation, and smarter decision-making across businesses and government institutions. In the near future, cities will be safer, operations more transparent, and public services more responsive—all powered by AI technologies. Saudi Arabia has the potential to become a leading example of AI-driven transformation in the region.

Smart solutions, smarter facilities: Saudi sports sector enters AI era

Noha Gad

 

Transforming Saudi Arabia into a global sports powerhouse is one of the key objectives of Vision 2030. The Kingdom is moving steadily towards this goal by investing heavily in leagues, mega-events, and infrastructure, such as smart stadiums, all supercharged by leading-edge artificial intelligence (AI). Between 2020 and the first quarter (Q1) of 2025, Saudi entities injected investments worth SAR $7 billion across global and local sports assets, according to the ‘Saudi Arabia Sports Business & Tech Report 2025.’ In 2024, the Saudi sports market was valued at $8.4 billion, the report showed, anticipating the market to hit $22.5 billion by 2030. 

Regarding infrastructure development, the Kingdom is establishing smart stadiums, prioritizing renovations, smart features, and sustainable designs. Smart or digital stadiums in Saudi Arabia are advanced, technology-driven sports venues designed to create sustainable, high-performance, and immersive entertainment spaces for key sports events, notably the FIFA World Cup 2034.

These stadiums are not just structures for sports but integrated digital ecosystems featuring AI-powered operations, IoT sensors, high-speed 5G connectivity, and sustainable, energy-efficient designs.

The Kingdom’s innovative, robust, and state-of-the-art stadium strategy aims to offer fans a world-class match day experience. It comprises 15 proposed stadiums across five diverse host cities, including NEOM Stadium, the 46,000-seat arena set to be built 350 meters above ground inside "The Line" in NEOM; King Salman International Stadium, Saudi Arabia’s largest stadium with a capacity of 92,000 fans; Aramco Stadium, the 800,000 square meters facility that will catalyze health and wellness programs, featuring cutting-edge technology and an integrated cooling system; and Qiddiya Coast Stadium, the multi-purpose entertainment complex planned to be completed in 2032.

A significant milestone in advancing the Saudi sports sector is HUMAIN’s recent acquisition of ai.io, a London-headquartered artificial intelligence and sports technology company, to launch HUMAIN Sport to expand access to sport and improve outcomes at every level, from grassroots participation to elite performance. Combining the capabilities of HUMAIN and ai.io, the new joint venture will deliver integrated AI platforms designed to support the Saudi sports ecosystem. These solutions will enable broader participation in sport, data-driven athlete development, enhanced performance analysis, intelligent facilities, and new forms of digital and fan engagement.

Through this acquisition, HUMAIN will leverage ai.io’s existing products, technical expertise, and global sports relationships to accelerate international expansion, while ai.io will benefit from HUMAIN’s AI infrastructure, platforms, strategic partnerships, and commercial scale to support the delivery of AI-powered sports solutions.

This transaction marks a game-changer, enabling everything from grassroots athlete discovery, where aiScout has already generated over 750 professional trials, to elite performance analytics that track movements from any smartphone video. 

 

Key features and technologies in smart facilities

The integration of emerging technologies promises not just smarter training and fan experiences but a blueprint for AI-driven sports excellence that could redefine global competitions. For instance, AI and data analytics can be used for predictive maintenance, optimizing crowd management, and personalizing fan experience. Meanwhile, IoT sensors are deployed to monitor everything in the facility, from seat occupancy and parking to environmental conditions, ultimately improving overall operational efficiency.

For fan engagement, advanced applications, in-seat ordering, interactive displays, and 5G connectivity are standard in smart facilities, providing a 360-degree experience. Additionally, integrated command and control centers harness AI, facial recognition, and anti-drone technologies to enhance safety.

Moreover, smart sports facilities are designed for high energy efficiency, featuring smart HVAC systems, LED lighting that adjusts to crowd density, and water-efficient systems.

 

Revolutionizing talent scouting 

At the heart of HUMAIN Sport's transformative potential lies aiScout, ai.io's flagship mobile application that is revolutionizing talent identification from a labor-intensive, geographically limited process to a scalable, inclusive revolution accessible to anyone with a smartphone. By enabling aspiring athletes to record and upload simple drills, such as sprints, agility tests, or sport-specific skills, the application employs advanced computer vision and machine learning algorithms to deliver instant, objective performance metrics comparable to professional-grade assessments. 

This technology eliminates the need for costly equipment or on-site scouts, generating over 750 professional trials worldwide to date and proving its efficacy in talent discovery. Beyond discovery, aiScout's data-driven insights provide coaches with predictive analytics, ranking prospects not just on raw athleticism but on trainable traits like decision-making under fatigue, customizable to Saudi sports priorities. 

HUMAIN's integration amplifies this through Arabic-language interfaces powered by ALLaM large language models, ensuring cultural relevance and reducing barriers for non-English speakers. Eventually, the platform is democratizing opportunities, increasing participation of underrepresented regions, and positioning Saudi Arabia as a blueprint for equitable, AI-fueled sports development on the global stage.

 

Other applications

HUMAIN Sport embeds AI across the entire sports ecosystem to enhance coaching, strategy, emerging formats like esports, and athlete wellness in ways tailored to Vision 2030 goals. In coaching and tactical preparation, ai.io's aiLab platform integrates with HUMAIN's infrastructure to simulate match scenarios, analyze opponent patterns, and refine VAR decisions with predictive accuracy.

The venture pioneers AI in esports and digital leagues, leveraging real-time AI moderation, skill-matching algorithms, and AR overlays to increase participation. Meanwhile, health and wellness applications leverage wearables and AI chatbots to deliver personalized nutrition plans, monitor mental health, and support recovery protocols.

By integrating ai.io's motion tech with HUMAIN's scale, Saudi Arabia is not just adopting AI; it is exporting a holistic model that amplifies performance, engagement, and sustainability, setting a global standard for sports evolution.

While AI innovations promise unprecedented advancements, they also introduce critical challenges that demand robust ethical frameworks to ensure equitable and sustainable integration into Saudi Arabia's sports landscape. Foremost among these is data privacy, governed by the Kingdom's Personal Data Protection Law (PDPL). AI bias poses another hurdle, as algorithms trained on historical data may inadvertently favor urban, male athletes over rural or female talents. Over-reliance on AI threatens the human essence of sports, from coaches' intuition to the thrill of unscripted plays, prompting federations to adopt hybrid models in which tech informs but does not make decisions.

Transforming Saudi Arabia into a global sports powerhouse stands as a cornerstone of Vision 2030, with the Kingdom advancing through massive investments in leagues, mega-events, and cutting-edge infrastructure.

These developments signal a broader AI revolution in sports, from talent discovery and performance analytics to immersive fan experiences and sustainable operations, positioning Saudi Arabia to lead this transformation. Smart stadiums exemplify this shift, evolving into AI-powered digital ecosystems with IoT sensors, 5G connectivity, and energy-efficient designs that redefine match-day immersion.

Scaling After the Exit: Why Saudi Arabia Is Central to AlgoDriven’s Next Chapter

Kholoud Hussein 

 

When a UAE-born startup secures an eight-figure, all-cash acquisition from a San Francisco investor backed by one of America’s wealthiest business dynasties, it signals more than commercial success. It signals maturity in the region’s technology ecosystem.

That is precisely the case with AlgoDriven, the automotive AI data platform acquired by Emergence, whose backer, The Pritzker Organization, manages the business interests of the Pritzker family, known globally for building the Hyatt Hotels Corporation brand.

Operating in the $1.6 trillion global used car market, AlgoDriven analyzes over $25 billion worth of vehicles annually across 1,000 dealerships in 10 countries. It is also the market leader in Australia, where one in three used cars sold is processed through its technology. But the next phase of growth may be even more significant — particularly in Saudi Arabia.

As the Kingdom accelerates automotive sector digitization under Vision 2030, and as dealership groups consolidate and modernize operations, demand for transparent, AI-powered pricing infrastructure is rising sharply. For investors, the question is no longer whether the Gulf can produce scalable tech exits. It is whether companies like AlgoDriven can turn regional dominance into global category leadership — with Saudi Arabia as a strategic growth engine.

In an exclusive interview with Sharikat Mubasher, CEO Glenn Harwood discusses valuation drivers, GCC capital deployment, expansion plans in the Kingdom, and how the company plans to leverage new ownership to deepen its AI capabilities and geographic footprint.

AlgoDriven has been acquired in an eight-figure, all-cash deal by Emergence. From an investor perspective, what were the primary value drivers behind the transaction — revenue growth, recurring contracts, proprietary datasets, or market dominance?

As a starting spot, financial metrics drove value, such as revenue, revenue growth, and profitability.  Of course, there is nuance to all these metrics, and that is where things like recurring contracts, churn, team, proprietary data sets, and product quality all factor in.

Revenue has increased fivefold since your 2021 Series A. How sustainable is that growth trajectory, and what does your forward revenue visibility look like across the GCC?

Demand is still strong for our products, and as we continue to roll out more AI-driven offerings, we see that continuing.  On top of that, many of the GCC markets are growing – population is increasing, GDP growth is strong, and people continue to buy more and more cars.  While that remains the case, we expect strong revenue growth to continue.

How strategically important is Saudi Arabia within your GCC footprint, and what proportion of your future regional investment will be directed toward KSA?

KSA is very important within both our existing footprint and our growth plans.  We’ve seen significant changes in the new and used car markets in the Kingdom over the past few years, and we expect this to continue in the coming years.  We’re continuing to customise and adapt our product to suit that market, and as well as having more on the ground support for our customers their too.

What concrete expansion plans do you have for Saudi Arabia over the next 24–36 months, in terms of headcount, partnerships with major dealership groups, or product localization?

We already have a strong footprint in KSA and a solid sales pipeline of dealership groups looking to adopt our products.  We’re rolling out new features around vehicle pricing specific to the KSA market, as well as more integrations to have a deeper understanding of vehicle history in the Kingdom.  We expect our presence there to continue to grow.

Saudi Arabia is undergoing a rapid automotive sector transformation under Vision 2030. How large do you estimate the addressable market for AI-powered used car analytics in the Kingdom?

The numbers we’ve seen suggest the car sales market in the Kingdom could grow by up to another 50% by 2030 for where it is now. On top of that, the official dealers are becoming increasingly focused on the used car sector.  Based on these two factors, we anticipate exponential growth in demand for our AI products to help drive this adoption.

You analyze more than $25 billion worth of used vehicles annually. How does deeper penetration in the Saudi market enhance your data advantage and strengthen barriers to entry?

There is a real network effect from using our product. The more cars we value, the more data we accumulate, and the more accurate our valuations become.  Car dealers can also share and auction cars between them on our platform – the more dealers who adopt our solution in Saudi makes the more valuable the platform becomes for all of them.

Your early investors, including Global Ventures, Oman Technology Fund, and Oraseya Capital, have now achieved a full cash exit. What signal does this send about liquidity and exit maturity in the GCC startup ecosystem?

I think it is great to see more exits in the region, particularly from US private equity firms.  For many startups, private equity is a great opportunity to exit and provide liquidity to early investors.   I believe this is an important trend for US PE firms to look internationally for targets, especially in the region.

Under the backing of The Pritzker Organization, how do you see AlgoDriven evolving — remaining a pure data platform, or expanding into broader automotive fintech infrastructure across Saudi Arabia and the wider region?

The focus over the next few years is on doing more of what we’re already great at – doubling down on our software offerings for car dealers. Additionally, we intend to leverage their existing network to continue to grow internationally.

 

 

 

Run Rate: The Growth Metric Every Startup Lives By

Kholoud Hussein 

 

In startup boardrooms, few numbers are quoted as frequently as run rate. It appears in investor decks, funding announcements, and growth projections. It can signal momentum or mask volatility. Yet despite its popularity, the run rate is often misunderstood.

At its core, run rate is a projection. It takes a company’s current revenue performance over a short period — typically a month or a quarter — and extrapolates it over a full year. If a startup generates $500,000 in revenue in one month, its annual run rate would be $6 million. The assumption is simple: if performance continues at the current pace, that is the revenue the company would generate over 12 months.

The appeal lies in its clarity. Run rate offers a fast snapshot of scale. For high-growth startups, particularly those in SaaS, fintech, or marketplace models, it provides a forward-looking signal that annual historical revenue cannot yet show.

But run rate is not the same as annual revenue. It is a forecast based on present conditions. And those conditions can change quickly.

Why Run Rate Became a Startup Staple

In early-stage companies, historical financial data is limited. A startup may have been generating meaningful revenue for only a few months. Investors evaluating growth potential need a metric that reflects the current trajectory rather than incomplete annual statements.

Run rate fills that gap.

For subscription-based businesses, especially SaaS startups with recurring revenue models, run rate can be particularly meaningful. Monthly Recurring Revenue (MRR) multiplied by 12 creates an Annual Recurring Revenue (ARR) run rate, offering investors a clean benchmark to compare companies at similar stages.

This comparability is one reason the run rate has become embedded in venture capital conversations. It creates a common language.

The Strategic Value of Run Rate for Startups

Beyond investor communication, run rate has operational value.

First, it forces discipline around revenue tracking. Startups that monitor run rate monthly develop a sharper understanding of sales velocity, churn, and pricing impact. If MRR increases steadily, leadership gains confidence in scaling marketing spend or expanding headcount. If it stagnates, corrective action can be taken quickly.

Second, run rate influences valuation. Many venture-backed startups are valued as a multiple of revenue, particularly ARR. A company with a $10 million run rate may command a significantly higher valuation than one at $5 million, even if both are unprofitable. In growth markets, revenue scale often outweighs short-term earnings.

Third, run rate helps in financial planning. Forecasting hiring, product development, and geographic expansion depends on predictable revenue streams. While not a guarantee, a stable run rate provides a framework for modeling cash flow scenarios.

The Risk of Misinterpretation

Despite its usefulness, run rate can be misleading when used without context.

A strong single month can inflate projections. A seasonal spike may not repeat. A one-time enterprise deal can distort averages. For startups in volatile sectors, the run rate may exaggerate stability.

This is why experienced investors look beyond the headline number. They examine revenue consistency, customer retention rates, and growth sustainability. A $12 million run rate built on stable subscriptions carries more weight than the same figure driven by sporadic transactions.

Run rate also does not account for costs. A company can show impressive revenue momentum while burning cash at an unsustainable rate. For startups, growth without efficiency can shorten the runway rather than extend it.

When Run Rate Is Most Meaningful

Run rate is most reliable when revenue is recurring, and churn is low. SaaS companies, subscription platforms, and fintech service providers benefit most from this metric. In these models, predictable cash flow strengthens the accuracy of annualized projections.

Marketplace startups can also use run rate effectively, particularly when transaction volumes show consistent upward trends. However, in cyclical industries, caution is warranted.

A Tool, Not a Guarantee

For founders, run rate should be treated as a strategic tool rather than a marketing headline.

It can help align teams around growth targets. It can signal readiness for funding rounds. It can support expansion planning. But it should always be paired with deeper metrics: gross margins, customer acquisition cost, lifetime value, and churn.

In disciplined startups, run rate becomes part of a broader financial narrative. It shows trajectory, not destiny.

To conclude, run rate endures because it answers a fundamental startup question: if we continue at this pace, how big can we become?

It offers clarity in early growth stages when historical data is thin. It translates monthly momentum into an annual scale. And in capital markets that reward speed and traction, that translation matters.

Yet the smartest founders understand its limits. Run rate reflects today’s performance extrapolated into tomorrow. It assumes continuity in a business environment defined by uncertainty.

Used wisely, run rate is a signal of momentum. Used carelessly, it becomes a projection detached from operational reality.

For startups navigating growth, the difference between those two outcomes can be decisive.

 

AI for Senior Citizens in Saudi Arabia

Ghada Ismail

 

Saudi Arabia is quietly entering a new demographic chapter. While the Kingdom remains widely known for its youthful majority—with more than 70 % of citizens under the age of 35—another segment of the population is steadily expanding: older adults. According to the General Authority for Statistics (GASTAT), about 1.7 million people aged 60 and above now live in the Kingdom, representing roughly 4.8 % of the total population in 2025. 

This shift is subtle compared with global aging trends but significant enough to influence how healthcare, social services, and digital technologies are designed and delivered. The World Health Organization and Saudi health authorities define the elderly as individuals aged 60 years or above, a demographic that is expected to grow in the decades ahead amid rising life expectancy and improvements in healthcare access. 

Across homes, clinics, and digital platforms, artificial intelligence (AI) is beginning to play a meaningful role in enhancing seniors’ quality of life, helping them remain independent, connected, safe, and engaged in ways that align with Saudi cultural values and Vision 2030 priorities.

 

Aging and Its Challenges

Aging often brings layered challenges. Chronic disease management, reduced mobility, memory changes, and social isolation can gradually erode independence. Traditional care systems, heavily reliant on family or institutional support, are increasingly stretched amid smaller household sizes and urban lifestyle shifts. In Saudi Arabia, these concerns are compounded by a healthcare environment preparing for the future dynamics of a longevity economy.

Yet many older Saudis are actively engaged both socially and digitally. GASTAT’s 2025 Elderly Statistics Bulletin shows that over 60 % of elderly Saudis participate actively in social events, with 63.4 % of men and 57.3 % of women reporting regular activity. Additionally, high rates of digital engagement—where about 87 % of elderly men and 78 % of elderly women use smartphones or computers—reflect a population already comfortable with basic technology. 

 

Wearables: Personalized, Continuous Support

One of the most visible intersections of AI and elder care is through wearables, smart devices capable of continuous monitoring and predictive analysis. These devices use machine learning to track vital signs such as heart rate, movement, sleep patterns, and irregular activity. The real value lies in algorithms that can detect deviations from personal norms and alert caregivers or family members before small issues become emergencies.

A notable Saudi startup leading innovation in this space is Me’kaaz, which has developed AI-enabled wearable solutions tailored to senior care. Rather than serving merely as emergency alerts, Me’kaaz’s technology focuses on early detection and prevention. It captures subtle changes in activity or routines that may signal emerging health problems—whether related to mobility, cardiovascular health, or daily function—helping families and clinicians intervene proactively.

Importantly, these technologies are linguistically and culturally localized for Saudi users. AI interfaces support the Arabic language and sensory cues that feel natural and respectful, ensuring seniors can interact comfortably with devices. This cultural resonance is crucial in a society that emphasizes family involvement and dignity in elder care.

 

AI Companions and Social Connectivity

Physical health is part of the picture, but emotional well-being is equally important. Loneliness and social isolation have been linked globally to depression and cognitive decline, particularly among seniors living alone or with limited mobility.

AI-powered digital companions are entering this space as well. These systems combine conversational capability with reminders, mental exercises, and engagement tools designed to keep elderly users mentally stimulated and socially connected. Me’kaaz and other innovators are exploring how these companions can deliver culturally relevant content, including religious and community-oriented interactions, enriching everyday life for seniors who may spend long hours alone.

Such AI companions are not a replacement for human interaction, but a supplemental presence, especially valuable for those whose families live at a distance or have demanding work schedules.

 

Training for an AI-Enabled Life

Technology adoption does not begin with advanced gadgets; it begins with confidence. Recognizing this, national and private initiatives in Saudi Arabia are increasingly focusing on digital literacy for older adults.

A notable example is the collaboration between Huawei Technologies and stc Group, which launched a senior-focused training program under Huawei’s global “Education for All” initiative. The program’s SmartTruck serves as a mobile digital classroom, traveling across regions of the Kingdom to deliver free, hands-on training for people aged 50 and above.

These workshops cover practical digital skills: using smartphones, accessing online services, understanding digital safety and fraud protection, and navigating AI-enabled tools. In its early phase, the initiative trained more than 2,000 seniors through over 150 workshops, underscoring strong enthusiasm among older adults for digital skill-building when instruction is accessible and age-appropriate.

While these sessions don’t teach deep AI theory, they build foundational confidence. For seniors, learning to interact safely with digital systems reduces anxiety, increases participation, and lays the groundwork for more sophisticated AI engagement, whether through telemedicine, smart wearables, or digital communities.

 

AI in Healthcare Systems

AI’s role is expanding beyond the home into broader healthcare delivery. Hospitals and clinics across the Kingdom are using AI tools for diagnostics, predictive analytics, and remote monitoring—beneficial for senior patients managing chronic conditions.

AI can help clinicians identify high-risk patients sooner, personalize treatment plans, and reduce unnecessary hospital visits. For seniors, this means more tailored care with less physical strain, particularly for those managing conditions like diabetes, hypertension, or cardiovascular issues.

Government entities such as the Saudi Data and Artificial Intelligence Authority are central in shaping ethical AI deployment across sectors, including healthcare. Professional bodies like the Saudi Association for AI and Healthcare are also contributing research and education frameworks to align AI adoption with clinical standards and ethical guidelines.

 

Cultural and Ethical Dimensions

Despite the promise, challenges persist. Not all seniors have equal access to smartphones, high-speed internet, or ongoing support, particularly in rural areas. Digital inequality remains a real barrier to the full potential of AI adoption.

Privacy concerns also loom large. AI elder-care systems rely on sensitive personal data—from biometric readings to behavior patterns—making data protection and transparency essential. Ensuring that seniors understand how their data is used and protected is particularly important in a society where privacy and family reputation are highly valued.

Cultural compatibility remains key as well. AI systems must respect Saudi social norms, language nuances, and religious practices. Solutions that feel foreign or disconnected from daily life are unlikely to gain traction, regardless of their technical sophistication.

 

Looking Ahead

Saudi Arabia’s broader AI ecosystem—strengthened by national strategic investments, research institutes, and innovation incentives—provides fertile ground for senior-focused technologies. Future developments are likely to include more advanced predictive care models, AI-assisted cognitive health tools, and deeper integration between home-based systems and national healthcare platforms.

Demographic data indicate that the proportion of older adults in Saudi Arabia is modest but growing. According to GASTAT’s 2025 Elderly Statistics Bulletin, people aged 60 and above currently represent about 4.8 % of the population, with men slightly outnumbering women in this age group. While still a small share, demographic trends suggest this segment will expand in the coming decades as life expectancy rises and fertility rates decline, reflecting broader global aging patterns. This gradual increase highlights the need for proactive planning, innovative care models, and policies that embrace technology while maintaining human dignity and social inclusion.

 

Embracing Aging with Intelligence

AI for senior citizens in Saudi Arabia is no longer a theoretical concept; it is taking shape now through wearable devices, digital engagement programs, and healthcare innovations that respect cultural values. These technologies complement family care, empower seniors to stay connected, and enhance their ability to live independent, fulfilled lives longer.

By investing in localized tech solutions, digital literacy training, and ethical AI frameworks, Saudi Arabia is fostering an environment where aging with intelligence and intention is possible. For the Kingdom’s older adults, this means accessing tools that enrich daily life—while retaining the autonomy, dignity, and social bonds that define Saudi culture.