Global AI in Neurology Operating Room Market to Grow at a CAGR of 48.38% During 2023–2031

Artificial intelligence (AI) is computer and software simulation of cognitive processes which comprises speech recognition, computer vision, natural language processing, and expert systems. Hardware and software enhancements support developing and training machine learning (ML) algorithms. It eliminates errors, performs hazardous duties, and continuously automates a variety of tasks. It helps collect massive amounts of labeled training data, analyze the data for correlations and patterns, and use these patterns to predict future states. In addition to assisting in task creation, collecting data and transforming it into valuable knowledge is also beneficial.

Market Dynamics

Advancement in Robotics and Medical Visualization Technologies Drives the Global Market

Neurosurgeons are already using surgical robotics to treat illnesses such as epilepsy. Although the number of market participants in surgical robotics has grown, robotic surgery is still in its infancy. Combining robotics and AI can significantly enhance surgical results by providing surgeons with real-time insights and outcomes analyses. Likewise, several major businesses are developing advanced visualization technologies like AR, VR, volumetric imaging, and light field technology. Several of these technologies are currently employed in medical and training settings. In addition, increased innovation in robots and three-dimensional visualization will positively affect the adoption of AI in neurology operating rooms.

Leveraging Business Synergies for Capability and Portfolio Enhancement Creates Tremendous Opportunities

Research and development aim to increase human endurance, improve human precision, and enhance the perioperative experience. However, the majority of companies developing artificial intelligence for use in operating rooms are startups working in a niche industry and engaging in merger-and-acquisition (M&A) partnerships with established players. These mergers and acquisitions are anticipated to progressively increase competition and innovation. M&As can also be utilized to expand a company's regional footprint. In addition, such arrangements may enable AI-enabled solutions to access untapped markets. Countries with large patient populations, including China, India, Japan, Latin America, and the Middle East and Africa, can potentially extend the use of artificial intelligence in neurology operating rooms.

Regional Analysis

Europe is the most significant shareholder in the global AI in neurology operating room market and is predicted to rise at a CAGR of 39.87% over the forecast period. The Europe market is expected to profit from strategic collaborations, mergers, and acquisitions, a strong demand among end users for AI-based solutions, and innovation in use cases. Europe has a high level of technological preparedness and is anticipated to be at the forefront of AI adoption. The growing awareness of the benefits offered by AI-enabled solutions, coupled with the increasing complexity of clinical decision-making and the increasing number of government initiatives promoting the adoption of AI technologies, is anticipated to drive the growth of AI in the neurology operating room market in Europe. Initially, the implementation of the MDR, the technical challenges associated with the use of machine learning and automation in neurosurgery, the limited availability of AI's effectiveness in neurosurgery, and the absence of standardized regulatory guidelines can act as significant barriers to growth.

North America is predicted to grow at a CAGR of 44.31% over the forecast period. North America has many early adopters and is projected to remain the largest neurology operating room AI market. Several market leaders are headquartered in this region and have a significant presence in the U.S. market. The increasing number of funding activities and the rising number of startups are anticipated to contribute to the expansion of AI in the North American neurology operating room market. In addition, numerous important factors, such as advancements in AI technology, rising use of AI-enabled solutions, and expanding applications of AI in health informatics, are anticipated to drive the expansion of the North American AI in the neurology operating room market over the forecast period.

Key Highlights

• The global AI in neurology operating room market was valued at USD 149.12 million in 2022. It is estimated to reach USD 5,195.18 million by 2031, growing at a CAGR of 48.38% during the forecast period (2023–2031).
• Based on the offering, the global AI in neurology operating room market is divided into hardware and software-as-a-service (SaaS). The software-as-a-service (SaaS) segment is the highest contributor to the market share and is expected to grow at a CAGR of 48.38% over the forecast period.
• Based on technology, the global AI in neurology operating room market is divided into machine learning (ML) and deep learning, natural language processing (NLP), and others. The machine learning (ML) and deep learning segment owns the largest market share and is anticipated to grow at a CAGR of 46.38% over the forecast period.
• Based on indication, the global AI in neurology operating room market is divided into neurotechnology and neurosurgery. The neurotechnology segment is the highest contributor to the market and is estimated to grow at a CAGR of 45.08% over the forecast period.
• Based on application, the global AI in neurology operating room market is bifurcated into training, diagnosis, surgical planning and rehabilitation, outcomes and risk analysis, integration and connectivity, and others. The training segment owns the largest market share and is estimated o grow at a CAGR of 40.43% over the forecast period.
• Based on the end-user, the global AI in neurology operating room market is bifurcated into hospitals and others. The hospital segment is the highest contributor to the market and is projected to grow at a CAGR of 49.35% during the forecast period.
• Europe is the most significant shareholder in the global AI in neurology operating room market and is predicted to rise at a CAGR of 39.87% over the forecast period.

Market Segments

Global AI in Neurology Operating Room Market: Segmentation

By Offering

• Hardware
• Software-as-a-Service (SaaS)

By Technology

• Machine Learning (ML) and Deep Learning
• Natural Language Processing (NLP)
• Others

By Indication

• Neurotechnology
• Neurosurgery

By Applications

• Training
• Diagnosis
• Surgical Planning and Rehabilitation
• Outcomes and Risk Analysis
• Integration and Connectivity
• Others

By End-User

• Hospitals
• Others

By Regions

• North America
• Europe
• Asia-Pacific
• Latin America
• The Middle East and Africa