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The growing demand for digital technology and shifting customer demands have resulted in the increased adoption of artificial intelligence (AI) solutions to manage financial assets and enhance the customer experience. AI solutions are predominantly dependent on machine data that are generated from multiple sources, including data collected from customers and processes. The financial institutions, especially investment banks, have started using AI based analytics solutions to analyze data and identify the correlation & patterns to improve the asset management capability. These technologies are among the prominent solutions to deal with ever-changing financial regulatory & compliance environment to face the associated market risk and understand both income tax & corporate tax laws in an efficient way. AI in financial asset management is also witnessing a strong presence in analyzing consumer behavior patterns to bring new offerings and is finding new distribution channels for the financial institutions that can create a competitive advantage with the use of these technologies. As data-driven financial decision becomes a more prominent factor for increasing profitability, the market is expected to witness increased usage of AI solutions across banks, financial institutions, and insurance firms. Investment banks have been the primary users of the AI technology to improve risk assessment of the customer to optimize portfolios. Furthermore, IoT, cloud technology, edge computing, security-related technology (blockchain), etc. are supporting the market growth. This trend is expected to continue during the forecast period 2019-2025, fueling the market growth at a CAGR of 33.84% to reach revenue of $11.39 billion by 2025.

Google's Android framework has started providing standard APIs for accessing eSIM and managing subscription profiles on the eSIM since Android 9.A significant factor driving the growth of the eSIM market is the increase in M2M connections globally. Many M2M cases require remote monitoring, and managing the connection using traditional SIM becomes hectic. Telecom devices are among the largest adopters of eSIM solutions. With support from OEMs, network providers, and consumers, the implementation of eSIM is expected to boom during the forecast period. Other major end-users of eSIM, apart from telecom devices, are IoT devices and automobiles. eSIM occupies lesser space, which makes it an ideal choice for IoT device manufacturers. In the automotive industry, eSIM finds many use cases associated with vehicle telematics. For instance, norms including AIS 140 mandate the use of a GPS device with eSIM capability for public vehicles in India.

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