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Increasing Adoption Of Smart Hospital Infrastructure Drives The Market Growth Due To Enhanced Real-Time Data And Automation: A Key Catalyst Accelerating Artificial Intelligence-Driven Hospital Energy Optimization Market Growth in 2025
Artificial Intelligence Driven Hospital Energy Optimization
Artificial Intelligence-Driven Hospital Energy Optimization Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size for hospital energy optimization directed by artificial intelligence has seen a dramatic growth in the recent past. The market is expected to swell from $2.01 billion in 2024 to $2.49 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 23.9%. This surge during the historic period can be attributed to the escalation in energy usage in healthcare sectors, the emergence of smart cities, an increase in investments related to smart energy infrastructure, mounting pressure to boost hospital sustainability rankings, and expansion in hospital automation efforts.
Artificial Intelligence-Driven Hospital Energy Optimization Market Size Forecast: What's the Projected Valuation by 2029?
The market size of the artificial intelligence-based hospital energy optimization industry is predicted to experience significant expansion in the upcoming years, rising to a value of $5.80 billion in 2029 with a compound annual growth rate (CAGR) of 23.6%. The anticipated growth during the forecast timeframe can be linked to the increasing anxieties over the emergence of new pathogens and antimicrobial resistance, the growth of the elderly population, the heightened use of artificial intelligence in healthcare research, the expanding acceptance of smart hospital infrastructure, and the escalating prevalence of chronic illnesses. Key trends to watch out for during the forecast period include advancements in AI algorithms, progress in the integration of AI with IoT sensors, novel technological breakthroughs in machine learning models, cloud computing developments, and enhancements in smart grid technology.
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What Are the Drivers Transforming the Artificial Intelligence-Driven Hospital Energy Optimization Market?
The surge in the implementation of smart hospital infrastructures is anticipated to stimulate the expansion of the market for artificial intelligence-based hospital energy optimization. A smart hospital infrastructure is a sophisticated digital technology system that facilitates efficient healthcare delivery, real-time surveillance, and automated management of hospital resources. This growth is motivated by the desire to enhance patient results via real-time data tracking, resulting in quicker diagnoses and individualized treatments, thereby boosting the quality and efficiency of care. Artificial Intelligence-Driven Hospital Energy Optimization is bolstered by smart hospital infrastructures as they provide a network of interconnected sensors and live data from multiple systems, empowering AI algorithms to evaluate energy consumption patterns and methodically adjust settings to decrease use and increase efficiency. For instance, in December 2024, the Centers for Disease Control and Prevention (CDC), a US national public health organization, stated that 88.2% of office-based doctors utilized the electronic health records system, but the adoption rate of certified EHR systems was 77.8%. Consequently, the surge in the adoption of smart hospital infrastructures is catalyzing the growth of the artificial intelligence-based hospital energy optimization market. The escalating move towards remote monitoring solutions is escalating the growth of the artificial intelligence-driven hospital energy optimization market due to real-time patient and energy data.
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Which Fast-Growing Trends Are Poised to Disrupt the Artificial Intelligence-Driven Hospital Energy Optimization Market?
Prominent industries involved in the market of AI-Driven Hospital Energy Optimization are focusing on smart energy management to hasten the implementation of energy-efficient solutions in healthcare settings. The concept of intelligent energy management involves the use of advanced tech like AI, cloud tech, and IoT to observe, analyze, and automatically fine-tune hospital energy systems, such as HVAC, for better efficiency and less energy use. For example, in April 2024, True Digital Group from Thailand teamed up with a Chinese cloud computing firm, Alibaba Cloud, to establish the Climate Technology Platform. This platform utilizes Alibaba Cloud's AI-tool "Energy Expert" along with cloud technology, IoT, and significant data analytics to assist companies in Thailand minor their energy efficiency difficulties, lessen greenhouse gas, and incorporate eco-friendly technologies. The platform supports instantaneous energy regulation and predictive analysis to fast-track Thailand's shift towards a green economy, targeting a 40% emission cut by 2030 and aiming for zero carbon emissions by 2050. The platform has already shown a reduction of up to 15% in energy use in trial programs like Bangkok Hospital's HVAC system.
Which Segments in the Artificial Intelligence-Driven Hospital Energy Optimization Market Offer the Most Profit Potential?
The artificial intelligence-driven hospital energy optimization market covered in this report is segmented
1) By Component: Software, Hardware, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Hospital Size: Small And Medium Hospitals, Large Hospitals
4) By Application: Heating, Ventilation, And Air Conditioning Optimization, Lighting Control, Energy Management, Equipment Monitoring, Other Applications
5) By End-User: Public Hospitals, Private Hospitals, Specialty Hospitals, Other End-Users
Subsegments:
1) By Software: Energy Management Software, Building Automation Software, Predictive Maintenance Software, Data Analytics and Visualization Tools, Artificial Intelligence Algorithms And Optimization Engines
2) By Hardware: Smart Sensors And Internet Of Things Devices, Smart Meters, Controllers And Actuators, Heating, Ventilation, And Air Conditioning Systems, Lighting Control Systems, Edge Devices And Gateways
3) By Services: Consulting And Advisory Services, Installation And Integration Services, Maintenance And Support Services, Energy Auditing Services, Training And Education Services
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Which Firms Dominate the Artificial Intelligence-Driven Hospital Energy Optimization Market by Market Share and Revenue in 2025?
Major companies operating in the artificial intelligence-driven hospital energy optimization market are Enel S.p.A., General Electric Company, Veolia Environnement S.A., Schneider Electric SE, Honeywell International Inc., ABB Group, Eaton Corporation Plc, Johnson Controls International Plc, Trane Technologies Plc, Centrica Business Solutions Ltd., Rockwell Automation Inc., Ameresco Inc., ENGIE Impact, GridPoint Inc., Optimum Energy LLC, Verdigris Technologies, Enerbrain, BuildingIQ Inc., Deerns, Resync.
Which Regions Offer the Highest Growth Potential in the Artificial Intelligence-Driven Hospital Energy Optimization Market?
North America was the largest region in the artificial intelligence-driven hospital energy optimization market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence-driven hospital energy optimization market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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