{"id":13714,"date":"2023-02-17T10:34:17","date_gmt":"2023-02-17T05:04:17","guid":{"rendered":"https:\/\/www.ozosoft.in\/blog\/?p=13714"},"modified":"2023-02-17T14:49:44","modified_gmt":"2023-02-17T09:19:44","slug":"top-fintech-trends-to-watch-out-for-in-2023","status":"publish","type":"post","link":"https:\/\/www.ozosoft.in\/blog\/top-fintech-trends-to-watch-out-for-in-2023\/","title":{"rendered":"Top Fintech Trends To Watch Out For In 2023"},"content":{"rendered":"\n

Artificial intelligence<\/a> in the FinTech industry is a topic that has created a big layer of curiosity around itself. The progress it has made over the past few years has left everyone either talking the whole day about it or speechless with amazement.<\/p>\n\n\n\n

Today, let\u2019s talk about how the FinTech industry has obtained a whole new outlook throughout the world with the help of artificial intelligence and machine learning. Are you ready to be enlightened?<\/p>\n\n\n\n

From an investment point of view, the Indian fintech system continues to offer one of the most attractive avenues for investing to all institutional investors<\/p>\n\n\n\n

As per a Chiratae Ventures report, the Indian fintech market has seen funding of over $18 Bn since FY17 and is expected to reach $1 Tn in AUM and $200 Bn in revenue by 2030.<\/p>\n\n\n\n

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Large ticket funding rounds may not return until the fourth quarter of 2023, as Indian fintech focuses inward and modifies its business models to focus on unit economics and profitability.<\/p>\n\n\n\n

We examine fintech through two critical lenses. The first is the global evolution of technology, ramping up the speed and efficiency of all financial products. The second is a more visible investment angle that is fueling this innovation by supporting entrepreneurship across various financial services segments.<\/p>\n\n\n\n

What is the Role of Artificial Intelligence in the FinTech Industry?<\/h2>\n\n\n\n

The AI in FinTech market size is projected to grow to $31.71 billion in 2027 at a CAGR of 28.6%.<\/p>\n\n\n\n

The best thing about artificial intelligence and machine learning is that they help industries conduct a more personalized approach toward their target audience as they have a better understanding of user behavior due to their advanced algorithms.<\/p>\n\n\n\n

FinTech industries are availing the maximum advantage of AI\u2019s advanced insights about consumer behavior and they seem to grow at a rapid pace.<\/p>\n\n\n\n

Moreover, AI is especially useful in the FinTech industry for anticipating loan risks. For financial companies who are planning to broaden their businesses by expanding their services, machine learning is a major factor of contribution to their accomplishment.<\/p>\n\n\n\n

As machine learning can majorly help FinTech companies with loan underwriting by alleviating financial risk. The best part is that AI helps companies detect fraud and helps companies be aware of anonymous or unauthorized access with its advanced methodologies.<\/p>\n\n\n\n

Still, there are a lot more reasons apart from what we have stated above. Let\u2019s learn in detail about all the other reasons for choosing artificial intelligence.<\/p>\n\n\n\n

Fintech Will Continue To Make Value Chain More Efficient In 2023<\/strong><\/h2>\n\n\n\n

Going forward, it is likely that fintech will continue to evolve and play a larger role in the financial industry. Some potential areas of growth for fintech include the use of artificial intelligence and machine learning, the development of blockchain technology, and the growing popularity of robo-advisory services.<\/p>\n\n\n\n

One potential area of growth for fintech is the use of artificial intelligence (AI) and machine learning (ML). These technologies have the potential to improve the accuracy and efficiency of financial decision-making and could be used to develop new products and services.<\/a> For example,\u00a0AI and ML could be used to automate the process\u00a0of underwriting loans or to develop personalised investment portfolios based on an individual\u2019s financial goals and risk tolerance.<\/p>\n\n\n\n

Another potential area of growth for fintech is the development of blockchain technology. Blockchain is a distributed ledger technology that allows for secure, transparent, and verifiable transactions. It has the potential to greatly improve the efficiency and security of financial transactions and could be used to develop new applications <\/a>such as smart contracts and decentralised finance.<\/p>\n\n\n\n

Fintech Will Remain An Investor Favourite But The Segment Mix Will Change <\/strong><\/h2>\n\n\n\n

From an investment point of view, the Indian fintech system continues to offer one of the most attractive avenues for investing to all institutional investors. It provides scale as well as growth. As per a Chiratae Ventures report, the Indian fintech market is the third largest in the world behind only US and China. It has seen funding of over $18 Bn since FY17. The growth momentum is nowhere close to slowing down. The estimate for 2030 stands at $1 Tn AUM and $200 Bn in revenue.<\/p>\n\n\n\n

The focus of the market is however expected to change starting in 2023. As much as the last decade belonged to payments, lending tech and insurance tech are expected to carry the momentum forward. The under-penetration of financial services to a huge section of the Indian population, combined with the financial inclusiveness goal of the government is expected to bring about this change.<\/p>\n\n\n\n

One key aspect to keep an eye on will be the regulatory aspect. While the last few years have seen unabated growth led by creative business models, RBI has been cognizant of the need to bring all players under the regulatory fold. <\/p>\n\n\n\n

While this led to some pain being felt by fintech players specifically in sectors like BNPL, the overall sentiment is that it will help provide guardrails for accelerated growth in 2023. Large ticket funding rounds may not return until the fourth quarter of 2023, as Indian fintech focuses inward and modifies its business models to focus on unit economics and profitability.<\/p>\n\n\n\n

Overall, 2023 is expected to be an exciting year for all participants in India\u2019s fintech sector, including founders, investors, professionals, regulators, and, of course, customers\/consumers of these products and services.<\/p>\n\n\n\n

The reasons to embrace artificial intelligence for the FinTech industry are quite a lot, here we have tried to state the most common reasons for AI that have majorly helped in financial industry growth and development:<\/p>\n\n\n\n

Top Reasons to Choose Artificial Intelligence for the FinTech Industry<\/strong><\/p>\n\n\n\n

1. Customization<\/h3>\n\n\n\n

With AI and ML methodologies, FinTech companies do not have to set up their plans manually. Its hyper-personalized financial instruments and investment plans are designed as per the target audience\u2019s suitability with robust security.<\/p>\n\n\n\n

As mentioned earlier, manual monotonous tasks have been totally eliminated after FinTech companies have actively adopted artificial intelligence for their business operations.<\/p>\n\n\n\n

AI is an omnichannel approach that delivers personalized recommendations (based on the requirements of every single profile) after a detailed evaluation of data considering different parameters and it subsequently suggests the most suitable investment plan.<\/p>\n\n\n\n

As these tedious tasks that were done earlier have now been fully automated with AI adoption, this has helped banks and financial institutions save ample time. Not just that, the ratio of failure in transactions or loan processes has now come to nil.<\/p>\n\n\n\n

2. Major fall in operational costs and risk<\/h3>\n\n\n\n

AI is forming its place at a rapid speed, but still, certain tasks are performed by humans that also come up with chances of errors. While such errors take place, it calls for a great amount of time, effort, and costs to be put into fixing them.<\/p>\n\n\n\n

But, since artificial intelligence has not left any limits of advancements already; one of its pillars\u2019 is RPA (robotic process automation) which diligently imitates the process of tasks that are performed by humans to avoid unnecessary man-work, time, and costs.<\/p>\n\n\n\n

3. Improved customer experience<\/h3>\n\n\n\n

Earlier, the banking sector was often satirized for its inefficient service delivery due to the lack of advanced technology involved in the FinTech industries. Banking industries were not able to cope with the demands and queries of their users, as they could not respond swiftly.<\/p>\n\n\n\n

But the scenario is not quite the same any longer; AI has helped the FinTech industry flourish incredibly. Let\u2019s talk about it in detail.<\/p>\n\n\n\n

Talking about AI advancements, chatbots are one of the most supreme pillars of artificial intelligence. Especially, the FinTech industry has availed maximum advantage of AI chatbots; its success indicates that.<\/p>\n\n\n\n

With AI chatbots, banks use it the most for conversational purposes. If any user tries to connect with banks for any query or issue, his\/her issue is noted and he\/she is given a suitable solution. These chatbots are available during peak hours, some chatbots are even available for 24 hours if they deal with users across the globe.<\/p>\n\n\n\n

So, AI chatbots are just one of the best solutions that artificial intelligence has helped the world with. But, since chatbot is one of the most used technologies of the FinTech industry, we have highlighted the same.<\/p>\n\n\n\n

4. Investment process has been automated<\/h3>\n\n\n\n

2023 is the year of embracing advanced technology as we have already come a long way and still see a long way to cross because the innovation of technology is ceaseless. Many banks have started adopting AI on an active note for streamlining their process of investment decisions and beefing up their investment banking research.<\/p>\n\n\n\n

Not just that, there are many FinTech companies who have taken their advancement to the next level by launching robot advisers who can assist their users throughout. Robo-advisors are projected to manage $2.8 trillion in assets by 2023.<\/p>\n\n\n\n

These robo-advisers are configured in such an advanced way that they are absolutely capable of offering meaningful pieces of advice to the users for the query they put in front of these robots.<\/p>\n\n\n\n

5. Accurate results<\/h3>\n\n\n\n

We, humans, are prone to commit mistakes, and that is a universal fact. In the FinTech industry, there are innumerable monolithic tasks that consume a great amount of bandwidth, the results are nothing but some minor errors that affect the end results.<\/p>\n\n\n\n

With artificial intelligence, the chances of errors possibly taking place, still if it is compared with the errors that are otherwise made, we will get to see a major difference; AI errors barely take place.<\/p>\n\n\n\n

So, the end results are accurate with the usage of AI-based applications. Not only does an AI tool help you save ample time and effort, but it also provides you the flexibility to be more innovative. As of now, you have ample capacity left to widen your perspective for business growth which you used to put in monotonous tasks before.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"

Artificial intelligence in the FinTech industry is a topic that has created a big layer of curiosity around itself. The progress it has made over the past few years has left everyone either talking the whole day about it or speechless with amazement. Today, let\u2019s talk about how the FinTech industry has obtained a whole […]<\/p>\n","protected":false},"author":2,"featured_media":13715,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[125],"tags":[431,396,432],"class_list":["post-13714","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","tag-artificial-intelligence-business","tag-business-ideas","tag-fintech-industry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/posts\/13714","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/comments?post=13714"}],"version-history":[{"count":0,"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/posts\/13714\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/media\/13715"}],"wp:attachment":[{"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/media?parent=13714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/categories?post=13714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ozosoft.in\/blog\/wp-json\/wp\/v2\/tags?post=13714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}