Even if enthusiasm for AI, Blockchain and other emerging technologies has died down in 2024, this does not mean that the opportunities for their exploitation have diminished.
A good analogy is the dot-com bubble – the overhyped emerging internet businesses led to a lot of underdelivered promises and failed businesses. Yet, from the vantage point of twenty-five years, it is fair to say that in the long run, the impact of the internet as a technology has been even greater than the one expected during the heights of the dot-com bubble.
Similarly, even though it seems that AI isn’t changing the world as profoundly as promised near the launch of Chat GPT, we shouldn’t underestimate what could be achieved in a few years.
“Most people overestimate what they can do in a year and underestimate what they can do in ten years. »-Bill Gates
Below are six emerging technologies that promise immense expansion in 2025 and provide exciting startup opportunities.
Although it seems like the advancement in generative AI (along with the hype surrounding it) is slowing down, startups can still leverage this technology for new innovative applications like personalized marketing content, video game assets, automated content generation, or any other niche that still doesn’t make full use of the potential of AI image or text generation.
Companies like Jasper and Runway AI have already demonstrated their potential, but there is still a lot of room for innovation in niche markets, especially in industries far removed from generation spaces where the adoption cycle could be slower.
Startups could also combine generative AI with other tools leading to highly differentiated offerings. Moreover, due to the policy of Open AI to provide
Quantum computing is moving from theoretical promise to practical applications, and corporations like IBM and Google are making big strides. This generation can solve optimization, cryptography, and drug discovery much faster than classical computers.
Startups could find opportunities to create algorithms or platforms that leverage quantum computing for time-sensitive industries, such as finance or logistics. The entry barrier remains the main one due to technical complexity, but the first actors can be identified as leaders in this transformation space.
Synthetic biology combines biology, engineering, and computing to design and produce biological systems. This technology is opening doors to advancements in agriculture, biofuels, and medicine.
Startups like Ginkgo Bioworks are paving the way, but there is still plenty of room for new players.
A startup could possibly be developing engineered microbes that produce sustainable tissues or new types of lab-grown foods. Amid growing environmental and moral concerns, artificial biology startups may also confront critical global challenges. Addressing sustainability issues can also allow early-stage startups to access government investments and other technological resources (labs at universities, etc. ), which can also offset the maximum capital intensity and barrier to entry in the field. of artificial biology.
Edge computing processes knowledge closer to where it is generated rather than relying on centralized servers in the cloud. This generation is a must for IoT devices, self-driving cars, and real-time analytics.
Startups can create answers that optimize edge computing for fast-paced industries, such as healthcare (real-time patient monitoring) or manufacturing (predictive maintenance). As the number of IoT devices increases, edge computing will be even more critical to ensure low latency and high quality. efficiency.
Robotics continues to advance, with programs that go beyond classic manufacturing. By 2025, robots will play vital roles in healthcare (surgical robots), logistics (autonomous delivery drones), and agriculture (robotic harvesters).
Startups may limit themselves to creating specialized robots for niche markets. For example, a startup could develop robots for underwater exploration or robots designed to help care for the elderly. Partnering with AI and sensor generation can create highly functional and adaptable robotic systems.
Advances in genomics and artificial intelligence are giving rise to personalized medicine, in which treatments are adapted to each patient based on their genetic makeup. This technique is particularly promising in the treatment of cancer and rare diseases.
Startups can develop platforms that analyze genetic data to provide actionable insights for doctors or create tools for remote and personalized healthcare. By partnering with biotech firms and leveraging data analytics, startups can contribute to making healthcare more precise and effective.
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