On the basis of type, intelligent apps market is segmented into consumer apps and enterprise apps, out of which, the enterprise apps segment is anticipated to grab the largest share in the market as the incorporation of artificial intelligence and machine learning abundantly assists in the business transformation.
On the basis of deployment model, the market is segmented into on-premise and cloud. The cloud deployment segment in the global intelligent apps market is projected to grow with a significant CAGR over the forecast period. Cloud-based intelligent apps solutions are becoming the popular choice among users, as the cost related to infrastructure maintenance is reduced.
On the basis of vertical, intelligent apps market is segmented into retail and e-commerce, BFSI, manufacturing, education, healthcare, telecom and others. Among all, manufacturing sector is supposed to generate highest revenue followed and retail and e-commerce. In the manufacturing sector, the intelligent app’s importance is rapidly increasing which are based on a SaaS analytical cloud application that stores, acquires, and makes the decision for operational data from shop floor systems including, machines, test stations, sensors, equipment and simulation machines combined with data from HC
Ms and ERP. AI and ML are the key technologies that maximize productivity by mitigating quick decisions in case of downtime.
Our in-depth analysis of the global market includes the following segments:
By Type |
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By Deployment |
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By Application |
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Author Credits: Abhishek Verma
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