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The automotive world is changing fast not just because of electric vehicles or self-driving technology; but also thanks to something called predictive maintenance. Predictive maintenance in automobiles industry, as vehicles become more like computers on wheels, the old way of doing maintenance waiting for something to break or just following a set schedule is starting to feel outdated.

Therefore, predictive maintenance is a smarter approach. It uses data from the vehicles to spot problems before they happen, helping drivers avoid unexpected breakdowns. It’s a big shift in how we take care of our vehicles and its making life a lot easier.

Why It Matters: The Value of Prediction

We talk about predictive maintenance in automobile industry that good for vehicles long life

The advantage of maintenance predictive is greater than automobile value chain.

Improve Vehicles long Life

Unwanted breakdowns are not bothersome but it can also harmful. But, help of predictive maintenance, we can easily detect major issue such as battery failure, overheating engines, or brake system. It has a feature of detect problem when the owner does escalate to the vehicles.

Decrease Maintenance Prices

Predictive Maintenance removes unwanted parts exchange and labor. So, according to McKinsey it can also decrease cost up to 30% and breakdowns by 70%.

Improve Time for Fleet Operators

In daily life of transportation time is very important is also equal to money with the help of predictive maintenance. So, it can decrease time and improve service scheduling and vehicles long life. Thus, it plays important role in logistics and riding company.

Increase Customer Satisfaction

Automobile industries are doing predictive maintenance as a customer service provider by informing of customer through advance scheduling vehicles service appointments in smaller issue.

Technology Encourage Predictive Maintenance

Predictive maintenance is made possible thanks to a few key modern technologies.

In internet world, sensors in vehicles are using for collecting operational data such as oil reading, engine coolness and vibration levels.

Telemetric uses for transfer vehicles data to servers or cloud platform for a detailed analysis.

AI helps by looking at tons of sensor data to spot patterns, learn from past breakdowns, and predict when something might go wrong in the future.

Help of big data analytics, we make vehicles diagnostics with data sets. Thus, it can make more comfortable and reliable for them.

Real-World Applications

New automobile industry starts up are already utilized predictive maintenance

Tesla uses the update of air and diagnostics to fix problem remotely

The big company like BMW and Mercedes Benz is giving car services that used for maintenance. And it based on vehicles parts and driving habits

Volvo trucks have also given the predictive maintenance in fleet operations, and prove a random service stops and increase operational efficiency.

Challenges Ahead Going On

Predictive maintenance has many disadvantages also, like as:

Sharing and collecting data from vehicle scan raise serious concerns about people’s privacy and how secure that information really is.

The lack of standardized data protocols across manufacturers can hinder the integration and analysis of vehicle data at scale.

Different car manufacturers use their own ways of collecting and sharing data. So, it becomes hard to bring all that information together and make sense of it, especially on a large scale.

It increases the prices also by adding sensors, developing software, and AI modules for smaller part of industry and service provider.

The Road Ahead

As cars get smarter and more autonomous, predictive maintenance is shifting from being a nice-to-have feature to something essential.  Therefore, it is perfect to wider change that happening across the entire automobile industry.

Along with, government also going to push for linked vehicles that objective to decreasing on emission and wastes. Thus, in the further time; predict maintenance could go far instead of just keep monitoring the vehicle itself. 

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