Paradigm Shift in the Global Technology Market by 2025: Next-Generation Innovations Driven by Quantum Computing and Brain-Computer Interfaces
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As of December 2025, the global technology industry is experiencing a fundamental paradigm shift centered around quantum computing and Brain-Computer Interface (BCI) technology. According to market research firm Gartner, the quantum computing market is projected to grow from $1.3 billion in 2025 to $5 billion by 2030, with an average annual growth rate of 32.1%. Simultaneously, the BCI technology market is expected to grow from $2.7 billion in 2025 to $8.7 billion by 2030, suggesting the potential to completely redefine traditional computing interfaces.
The backdrop of this innovation includes the physical limitations of existing silicon-based computing and the slowdown of Moore’s Law. As semiconductor transistor sizes shrink below 3 nanometers, physical constraints such as quantum tunneling effects are becoming severe, increasing the need for a new computing paradigm. Particularly, as the complexity of AI models increases exponentially, computational demands that cannot be processed with existing computing architectures are emerging. In the context where the computational power required for training large language models like GPT-4 reaches 1.8×10²³ FLOPS, quantum computing is emerging as the only alternative that can provide exponential speed improvements for specific problems.
The most notable advancement in the field of quantum computing is the groundbreaking improvement in logical error correction capabilities. IBM, headquartered in New York, announced in November 2025 that it achieved over 99.9% gate fidelity with its ‘IBM Quantum Heron’ processor, which is considered a critical threshold for achieving practical quantum advantage. Google, based in California, also announced innovative achievements in quantum error correction with its ‘Willow’ chip, claiming to have reached the ‘below threshold’ region where logical error rates decrease exponentially as the number of physical qubits increases. These technological breakthroughs significantly enhance the potential for quantum computing to be utilized in practical commercial environments beyond the laboratory.
Realistic Progress in the Commercialization of Quantum Computing
The biggest change in the quantum computing market in 2025 is the paradigm shift from ‘quantum supremacy’ to ‘quantum utility.’ Previously, quantum computers only outperformed classical computers in specific artificial problems, but now they are beginning to provide direct value in solving real industrial problems. According to a 2025 report by the McKinsey Global Institute, the fields where quantum computing is expected to be commercialized first are portfolio optimization in financial services (2026), molecular simulation in the pharmaceutical industry (2027), and logistics optimization (2028).
The use of quantum computing in the financial sector is particularly noteworthy. Goldman Sachs announced that it achieved more than a 1000-fold speed improvement in Monte Carlo simulation-based risk calculations through a partnership with IBM. This is expected to bring innovation to high-frequency trading and real-time risk management by enabling the real-time processing of complex derivative pricing calculations that previously took hours. JP Morgan Chase is also building its own quantum network to maximize the security of encrypted communications while developing credit risk assessment models using quantum algorithms.
The application of quantum computing in the pharmaceutical and chemical industries shows even more revolutionary potential. Bayer, headquartered in Germany, is collaborating with Google Quantum AI to use quantum simulations in the design of new pesticide molecules, reporting over 90% time reduction and over 70% cost savings compared to traditional methods. Roche, headquartered in Switzerland, also improved protein folding prediction accuracy from 85% to 96% through the IBM quantum network, projecting an average reduction of 2.3 years in the drug development cycle.
Korean companies are also actively investing in and conducting research and development in the field of quantum computing. Samsung Electronics announced an investment of 15 trillion won in the first half of 2025 to build a dedicated fab line for quantum semiconductors, securing global competitiveness in cryogenic processing technology required for manufacturing superconducting qubits. SK Hynix focused on developing quantum memory devices, successfully extending the qubit coherence time from the existing 100 microseconds to 1 millisecond. This is a key technology for practical quantum computation, significantly strengthening the position of Korean companies in the global quantum computing ecosystem.
Brain-Computer Interface: Revolutionizing Human-Machine Interaction
Brain-Computer Interface (BCI) technology is moving beyond the experimental level to actual clinical application and commercialization stages by 2025. Neuralink, founded by Elon Musk, began a large-scale clinical trial with 100 spinal cord injury patients after receiving FDA approval in early 2025, demonstrating that patients could control a computer cursor with 96.4% accuracy just by thinking. This significantly exceeds the existing accuracy level of 70-80% for invasive BCI technology, showcasing innovative improvements in brain signal interpretation algorithms.
Non-invasive BCI technology is also rapidly advancing. Meta unveiled the wrist-worn BCI device ‘Neural Band’ in September 2025, announcing that it can recognize user intentions with over 95% accuracy using electromyography (EMG) signals. This technology enables intuitive interfaces in VR/AR environments and is expected to innovatively improve user experiences in the metaverse ecosystem. Market research firm IDC predicts that such non-invasive BCI technology will account for 15% of the consumer electronics market by 2028.
The application of BCI technology in the medical field is showing particularly notable achievements. A joint research team from the Swiss Federal Institute of Technology Lausanne (EPFL) and the University of Pittsburgh in the United States applied a ‘digital bridge’ system connecting brain implants and spinal stimulators to patients with paraplegia due to spinal cord injuries, enabling them to regain natural walking. This system detects the patient’s walking intentions in real-time and delivers appropriate electrical stimulation to the lower limb muscles, allowing patients to walk an average of 40 meters without assistive devices after six months of treatment.
From a commercial perspective, the market potential of BCI technology is even more intriguing. According to venture capital research firm PitchBook, BCI-related startups raised a total of $4.7 billion in 2025, a 156% increase from the previous year. The use of BCI in gaming and entertainment is particularly noteworthy, with Japan’s Sony announcing plans to incorporate brainwave-based game control features in PlayStation 6. This is expected to allow gamers to control characters with their thoughts, significantly enhancing game immersion.
The application of BCI technology in the education sector is also opening up new possibilities. A joint research team from MIT and Harvard University developed the ‘NeuroEd’ platform, which provides personalized learning content by analyzing learners’ brainwaves in real-time. This system monitors learners’ concentration, comprehension, and stress levels, automatically adjusting the optimal learning pace and method, and reported a 47% improvement in learning efficiency compared to traditional methods in initial tests. This innovation presents a new standard for personalized education and is expected to bring significant changes to the global educational technology market.
In the Asia region, BCI technology development is also actively progressing. China’s Baidu launched the brainwave-based search interface ‘MindSearch’ in the second half of 2025, commercializing technology that allows users to input search queries just by thinking. Initial beta tests achieved over 95% search intent recognition accuracy, receiving significant response, especially from users with language or physical disabilities. Japan’s NTT developed a mental health management platform using brainwave-based emotion recognition technology, announcing an improvement in early diagnosis accuracy for depression and anxiety disorders to 88%.
However, there are several challenges in the commercialization process of BCI technology. The biggest concern is privacy and security issues related to brain data. Brainwave data is extremely sensitive information that directly reflects an individual’s thoughts, emotions, and intentions, posing significant security risks in the process of collection and processing. The European Union passed the ‘Neural Rights Regulation’ in October 2025, establishing a strict regulatory framework for the collection, storage, and use of brain data, which is expected to have a significant impact on the development direction of the global BCI industry.
From a technical perspective, there are also many challenges to overcome. Current BCI technology still has a low signal-to-noise ratio, and electrode performance degradation occurs with long-term use. Additionally, due to significant individual differences in brainwave patterns, more research is needed to develop universally applicable BCI systems. However, with the advancement of artificial intelligence technology, these technical limitations are being rapidly overcome, and particularly, improvements in deep learning-based signal processing algorithms are significantly enhancing the practicality of BCI technology.
As of late 2025, quantum computing and BCI technology are beginning to create complementary synergies beyond independent innovations. The parallel processing capabilities of quantum computing enable the processing of large volumes of data required for complex brain signal analysis, and BCI technology can be utilized as an intuitive control interface for quantum computers. A joint research project between IBM and Neuralink reported a 340% improvement in brain signal interpretation accuracy using quantum machine learning algorithms compared to existing methods. The development of such convergent technologies is expected to fundamentally change the paradigm of human-computer interaction.
From an investment perspective, the fields of quantum computing and BCI technology are expected to begin generating substantial revenue from 2026. The venture capital industry evaluates these two technologies as the ‘two pillars of next-generation computing,’ projecting an average annual growth rate of over 30% for each over the next decade. Large-scale mergers and acquisitions by existing IT companies are anticipated, with cloud service providers like Microsoft, Google, and Amazon expected to create new revenue streams through the commercialization of quantum computing services. Simultaneously, the commercialization of BCI technology is expected to give rise to new business models in various industries such as healthcare, gaming, and education, which is projected to reshape the value chain of the entire technology ecosystem.
