E-maintenance management systems are a computer program that keeps knowledge from a database regarding its maintenance activities. Data from E-maintenance management systems can also be used to validate compliance with regulatory requirements. It helps to recognize the responsibilities of an employee, the duties, due dates, and activities needed to be done so that nothing is missed. The e-maintenance management program is designed to offer immediate insight to consumers about the polity of their maintenance needs, including comprehensive task order schedules, reliable product development levels, and enhanced exposure to thousands of incredibly valuable data. It is not constrained to manufacturing but widens to facilities, fleet, utilities, hospitals, sporting venues, and much more, where any gear/assets are susceptible to repair and might need maintenance.
The global e-maintenance management systems market size was valued at USD XXX billion in 2019 and projected to reach USD XXX billion by 2027, growing at a CAGR of XX% during the forecast period of 2020-2027 due to an upsurge in the number of organizations across the globe. In addition, mounting demand for the dropping maintenance costs and equipment downtime is expected to lift the demand for the e-maintenance management systems market around the world at a substantial growth rate. Furthermore, the rising deployment of cloud-based systems is further estimated to boost the global market. Moreover, the developments in voice and image recognition are predicted to fuel the growth of the market across the globe.
However, the high cost of the systems is projected to create an obstacle in the growth of the global market. In addition, the lack of trained professionals is estimated to challenge the growth of the e-maintenance management systems market at a considerable rate.
AI in e-maintenance management systems can perform essential track performance over time and help manage the account. China is leading the global market. In the first half of 2018, Chinese AI companies raised a total of USD 31.7 billion, nearly 75% of the global around USD 43.5 billion. The AI technology’s capacity to effectively interpret the information gathered and predict conclusions by key algorithms helps increase efficiency. AI has revolutionized the form of market optimization through incorporating process optimization software, pattern forecasts, a company buying ads, and other methods. AI provides an opportunity to significantly reduce enterprise costs and restrictions and execute innovative business models that can hobble the traditional solutions and attain the impoverished. Furthermore, many small technology companies and startups have also started to invest in the development of agile-source AI platforms to obtain more significant value chain productivity gains. Therefore, the propelling investment in AI is estimated to boost the AI in the e-maintenance management systems market across the globe.
Utilizing AI to apply operational management of day-to-day business operations will decrease the number of repetitive activities that workers experience, thus allowing them to invest further energy on projects that help the end goal. In addition, AI-based predictive analytics is to be used to reduce outages and increase plant productivity through forecasting demand and taking necessary measures to balance supply with demand. Moreover, the inventory control focused on AI ultimately carries out a modern price plan for manufacturers. Worldwide manufacturers possess numerous plants in numerous countries. Consequently, manufacturers have started to adopt AI-based innovations in their production facilities to meet such standards, spurring AI development in the manufacturing market.
The COVID-19 outbreak recently severely impacted the various sectors of developed and developing economies. The manufacturing work has also slowed down due to the pandemic. People cannot do work on a regular shift compared to the pre-pandemic, which is estimated to have an adverse impact on the e-maintenance management systems market. The implications of the COVID-19 outbreak are expected to reflect considerably in the global economy revenue collection. The COVID-19 turmoil has a modest market impact and shows profitability by Q1 / Q2 2023. As the government makes substantial changes in coronavirus reaction, companies are increasingly responding to their employees, their consumers, and suppliers’ evolving demands while addressing the financial and organizational challenges. In addition, AI in e-maintenance management systems helps get the workflow routine by managing the work order during the pandemic. As a result, COVID-19 pandemic has a significant impact on the global market. Now, management to handle work orders has become more complicated, and it will help supervise the flow of work.
Based on the deployment mode, the global e-maintenance management systems market is bifurcated into Cloud and On-premise. The cloud deployment mode segment dominates the market across the globe over the forecasted period of 2020-2027 due to the growing implementation rate of cloud-based services. Additionally, governments and broad NGOs engage in AI, expend their resources and energy on test projects with various AI applications, which are projected to fuel the market.
However, the On-premise segment is anticipated to hold a considerable growth rate by 2027 as the data’s confidentiality rate is high in on-premise compared to the cloud.
Based on the organization size, the global e-maintenance management systems market is classified into large and small & medium organization size. The large organization size segment is estimated to hold the largest share due to the presence of technical expertise in large enterprises. In addition, the high usage of AI in large size organization is further projected to fuel the e-maintenance management systems across the globe.
Based on the maintenance type, the global e-maintenance management systems market is segmented into Production, Facility, Fleet, and Linear Asset. The facility segment is anticipated to have a significant growth rate over the forecasted period of 2020-2027 across the globe due to easy and quick reporting and analysis of the data. The data help identify severe equipment issues and inacceptable leisure time tiers such that solutions, including routine audits, maintenance planning, or spare parts, can be implemented to reduce future downtime promptly.
However, the fleet maintenance segment is predicted to have a significant growth rate. It can be used to accomplish an individual location and multiple locations within the organization, which is estimated to boost the global market.
By geography, the global e-maintenance management systems market is segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. Asia Pacific region is expected to have the fastest growth rate by 2027 due to the rise of technological development in developing economies such as China and India. In addition, the growth in the number of startups across the region is expected to fuel the global market at a substantial rate.
Companies such as IBM, AssetPoint, Infor, eMaint, Hippo, Fiix, Maintenance Connection, MPulse, MVP Plant, MicroMain, EPAC Software, NEXGEN, FasTrak, MAPCON, CHAMPS Software, eWorkOrders, Limble, UpKeep, Schneider Electric, and Axxerion are the key players in the global e-maintenance management systems market.
By Deployment Mode
By Organization Size
By Maintenance Type