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Robotic Welding Market by Component (Robots, End of Arm Tooling, Controllers), Welding Process, Payload (Less than 25 kg Payload, 25 kg to 100 kg Payload, More than 100 kg Payload), End-use Industry, and Geography – Global Forecast to 2029

The Robotic Welding Market is expected to reach $6.77 billion by 2029, at a CAGR of 6.2% during the forecast period of 2022–2029. By volume, this market is expected to reach 163.3 thousand units by 2029, at a CAGR of 11.2% from 2022 to 2029. The growth of this market is driven by the increasing adoption of industry 4.0 principles and the rising adoption of welding robots in the automotive industry. However, the high initial cost of installing welding robots is expected to restrain the growth of this market.

Government initiatives to support digital transformation in Asia-Pacific and the emergence of laser & plasma welding technologies are expected to provide significant growth opportunities for stakeholders in this market. However, the lack of skilled workers for operating welding robots is expected to pose a major challenge to the growth of this market.

Artificial Intelligence in Medical Diagnostics Market By Component (Software, Services), Specialty (Radiology, Cardiology, Neurology, Obstetrics/Gynecology, Oncology), Modality (MRI, CT, X-ray, Ultrasound), End User (Hospital, Diagnostic Center) – Global Forecast to 2029

The Artificial Intelligence in Medical Diagnostics Market is expected to reach $9.38 billion by 2029, at a CAGR of 36.2% from 2022 to 2029. Artificial intelligence (AI) in medical diagnostics is a powerful tool that has the potential to make healthcare more accessible and affordable by assisting healthcare providers in making accurate and quick treatment decisions for their patients. The accurate diagnosis of a disease takes years of medical training and is a time-consuming process. The use of AI in medical diagnosis has proven to give accurate diagnoses, aid in clinical decisions, and enhance physicians' judgment.

AI in medical diagnostics includes AI solutions that aid physicians with medical decision-making. AI-based solutions can be used to diagnose cancer, triage critical findings in medical imaging, flag acute abnormalities, help radiologists prioritize life-threatening cases, diagnose cardiac arrhythmias, predict stroke outcomes, and help with the management of chronic diseases.

The growth of this market is driven by the growing need for the adoption of AI in medical diagnosis to reduce errors, the shortage of healthcare professionals, and the rising incidence rate of chronic diseases. In addition, the growth potential in emerging economies and the growing number of cross-industry partnerships & collaborations are expected to provide significant growth opportunities for this market.