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AI Research Reports

Content posted in September 2019
Quantum Computing for Enterprise Markets
  • AI Research Reports
Quantum computing (QC) can best be defined as the use of the attributes and principles of quantum mechanics to perform calculations and solve problems. Quantum computers are designed to utilize quantum bits (qubits), which are subatomic particles such as electrons and photons, to represent data. When these qubits are combined, or entangled, they can exist in multiple states (known as superposition). The result is that multiple calculations can be carried out at once, as each qubit can represent a value of 1, 0, or any point in between. A quantum system can process and analyze all data simultaneously and then return the best solution, along with thousands of close alternatives – all within microseconds. However, quantum computers are not destined to replace the processors in personal computers or smartphones anytime soon. For the most part, quantum computers will be best suited to addressing optimization problems, identifying patterns in data, and conducting complex simulations that would be too taxing for traditional, or classical, computers. These issues will drive the global market for enterprise QC. But quantum computers have not yet demonstrated quantum supremacy or quantum advantage. Significantly scaling the processing power, improving error correction abilities, and writing and refining quantum algorithms will be required before enterprises adopt QC en masse. Still, the QC market is expected to grow strongly through 2030. Omdia expects total enterprise QC market revenue to reach $9.1 billion annually by 2030, up from $111.6 million in 2018.
Cloud Robotics
  • AI Research Reports
The global cloud robotics market is at a nascent stage of development. As companies become aware of its growing importance, a gap remains in their understanding of what cloud robotics is, how it works, and what the implications are for their businesses. It is essentially the combination of cloud computing and robotics technologies in the form of hardware, software, and services. Cloud robotics is differentiated from general robotics through the use of teleoperation and cloud technologies. Another key differentiator is the emerging cloud-based robotics business model that enables connected robot as a service (RaaS), which allows for the more rapid deployment of adaptive robotic solutions. The benefits of cloud computing and cloud-based IT services also apply to cloud robotics. The same factors that are driving the growth of cloud technology and integration with the Internet of Things (IoT) and AI and the introduction of 5G connectivity are expected to stimulate strong growth in the cloud robotics market. This is why a number of major cloud and robotics companies are offering cloud robotics solutions for their customers. Although cloud robotics will not work for every situation, the rise of cloud computing, AI processing, and IoT are major driving forces for this market. Omdia expects global revenue for cloud robotics to increase from $5.3 billion in 2018 to $170.4 billion in 2025.


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