Global Predictive Maintenance Market

Predictive Maintenance Market Size, Share, Growth Analysis, By Component (Solution, Service), By Technology (AI, IoT), By Technique (Infrared Thermography, Vibration Analysis), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45E2137 | Region: Global | Published Date: August, 2024
Pages: 197 | Tables: 59 | Figures: 77

Predictive Maintenance Market Insights

Global Predictive Maintenance Market size was valued at USD 5.77 Billion in 2022 and is poised to grow from USD 7.57 Billion in 2023 to USD 66.46 Billion by 2031, at a CAGR of 31.2% over the forecast period (2024–2031). 

The Predictive Maintenance market has progressed remarkably over the past years supported by the rise of biosimilars and biologics and innovations like smart packaging. Biosimilars and biologics mostly need specialized packaging to maintain efficiency and stability, thereby propelling the Predictive Maintenance market. Furthermore, the emergence of smart packaging with features like sensors and RFID tags improves the monitoring, tracking, and management of pharmaceutical products, impacting market growth. Nonetheless, strict regulatory compliances that increase cost and complexity of packaging solutions are hampering the market growth. Moreover, high priced advanced packaging solutions is another restraining factor for the market growth. Yet, growth in the developing markets and progress of smart packaging solutions are favorable to the market growth. 

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Global Predictive Maintenance Market size was valued at USD 5.77 Billion in 2022 and is poised to grow from USD 7.57 Billion in 2023 to USD 66.46 Billion by 2031, at a CAGR of 31.2% over the forecast period (2024–2031). 

Predictive maintenance market providers need to focus on maximizing their business scope by reaching into new markets and developing predictive maintenance for different industrial and personal uses. Raising new capital to fund their R&D and business expansion efforts will be essential for new predictive maintenance companies going forward. The development of custom robots for specific applications across different industry verticals will also help companies expand their sales potential in the future.    'IBM Corporation (USA)  ', 'SAP SE (Germany)  ', 'General Electric (USA)  ', 'Schneider Electric (France)  ', 'Hitachi, Ltd. (Japan)  ', 'PTC, Inc. (USA)  ', 'Software AG (Germany)  ', 'SAS Institute, Inc. (USA)  ', 'C3.ai, Inc. (USA)  ', 'Uptake Technologies Inc. (USA)  ', 'Microsoft Corporation (USA)  ', 'ABB Ltd. (Switzerland)  ', 'Rockwell Automation, Inc. (USA)  ', 'Siemens AG (Germany)  ', 'Emerson Electric Co. (USA)  ', 'Oracle Corporation (USA)  ', 'Bosch Software Innovations GmbH (Germany)  ', 'Fluke Corporation (USA)  ', 'SKF AB (Sweden)  ', 'Honeywell International Inc. (USA) '

Increased proliferation of sensors and IoT devices allow monitoring in real-time and collection of data from the system, which is important for predictive maintenance, thus driving the market. Moreover, machine learning algorithms and enhanced data analytics aid in predicting machine failures by studying huge data volumes, resulting in better actionable insights and higher accuracy, impacting the growth of the market. 

Launch of Predictive Maintenance-as-a-Service: Currently, the introduction of (PdMaaS) Predictive Maintenance as a Service is transforming maintenance practices. The cloud-enabled services democratize access to technologies and expertise of predictive maintenance, enabling businesses to join the advantages of predictive algorithms and advanced analytics. Organizations of all sizes can simplify operations, concentrate on core competencies, and reduce costs by outsourcing funcitons of predictive maintenance to expert service providers. 

Geographically, North America is expected to lead over the forecast period owing to speedy adoption of advanced technology and strong industrial base. Well-developed nations like Canada and the United States are the leading adopters of the latest technologies including machine learning, AI and more, which are important for efficient predictive maintenance. Moreover, North America holds strong base for industrial infrastructure comprising energy, manufacturing, and transport sectors, which are key users of the said solutions to decrease downtime and enhance their operations. These factors are helping the market growth in the region. The leading companies operating in the region include GE Company, IBM, Microsoft, Siemens, Schneider Electric, and more. 

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Global Predictive Maintenance Market

Report ID: SQMIG45E2137

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