Artificial Intelligence In Fintech Market Size is Estimated to Witness 16.5% CAGR till 2030A Chapter by Markets InsightsThe global Artificial Intelligence in fintech market size was valued at USD 9.45 billion in 2021 and is expected to grow at a compound annual growth rate (CAGR) of 16.5% from 2022 to 2030.The global Artificial Intelligence In Fintech Market size is expected to reach USD 41.16 billion by 2030, growing at a CAGR of 16.5% from 2022 to 2030, according to a new report by Grand View Research, Inc. Artificial intelligence (AI) is widely used in financial organizations to improvise their precision levels, enhance their efficiency and instant query resolving through digital banking channels. AI technology like machine learning can help organizations raise their value by improving loan underwriting and eliminating financial risk. Organizations are also using it to build more robust fraud detection and prevention systems and help accelerate risk assessments and fraud detection. The AI in fintech market is expected to increase in the coming years due to advancement in technology that is boosting financial service providers’ business processes. Some of the primary drivers of the market include growing internet penetration and geographical data availability. AI and machine learning have aided banks and fintech firms by allowing them to process massive volumes of client data. For instance, in March 2022, KBC Group, a Belgian-based multi-channel bank insurer, commercialized its portfolio of AI applications through Discai, its wholly-owned subsidiary, beginning with introducing an AI application meant to prevent money laundering. Discai will first provide a unique and high-performance AI-based system for closely monitoring money laundering, take a phased approach to the market, and collaborate with partners to distribute and integrate these applications. Financial institutions and banks are implementing AI technologies to unlock insights and information hidden in unstructured documents and automate the manual processes that banks have historically performed at double-quick speed. In addition, the growing demand for process automation between financial institutions is propelling the market. Blockchain and distributed ledger technology enhance AI adoption in the financial sector by providing new means to record, track, and store financial asset transactions. Growing awareness of the benefits of cloud-based firewalls among small- and medium-sized organizations, particularly in developing nations, will create numerous opportunities for market expansion. For instance, in May 2022, The Czech Republic Finance Ministry, a government ministry in charge of economic policy, revenue service, insurance, the government budget, banking, and security, initiated a project to maximize the potential of fintech apps and data used in financial services in the country. The project was implemented by the Organization for Economic Cooperation and Development and funded by the European Union in collaboration with the European Commission’s DG REFORM-Directorate-General for Structural Reform Support. Furthermore, it will include a feasibility analysis of the possible formation of a sandbox in the Czech Republic and the prospects of data in financial services to let the fintech innovation be based on shared data. Fintech has been evolving in the investment management sector. Advanced technology and solution adoption, such as AI, big data, and machine learning, to assist businesses in evaluating investment possibilities, optimizing their investment portfolios, and mitigating related risks, have been significant in the technology adoption. A prominent trend in AI in the fintech business is the widespread use and integration of smart mobile payment solutions as customers worldwide become more reliant on digital payment methods than traditional wallets. Many participants in the market provide payment platforms and are continually adding new features, such as voice commands and biometric access control, which includes fingerprint and facial recognition. For instance, in November 2021, Paytm, an Indian multinational financial technology provider, announced the launch of a new feature, ‘Voice Trading’, driven by AI, which allows customers to acquire stock information or place a trade with a single voice command. The voice trading function allows a single voice command to be processed instantly using neural networks and Natural Language Processing (NLP). Related Press Release@ Artificial Intelligence in Fintech Market Report Artificial Intelligence In Fintech Market Report Highlights
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1 Review Added on October 3, 2022 Last Updated on October 3, 2022 Tags: Artificial Intelligence In Finte AuthorMarkets InsightsFelton, CAAboutAbout Us: Hexa Research is a market research and consulting organization, offering industry reports, custom research and consulting services to a host of key industries across the globe. We offer c.. more..Writing
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