A new wave of consolidation in the UK fintech industry is expected, according to Hogan Lovells, as huge internet firms attempt to expand into new fields of financial services. Hogan Lovells' financial services partner Jon Chertkow said that fintech financing rounds had "enough money to invest" as part of the firm's quarterly report on fintech and financial services.

According to Chertkow, "we have long expected consolidation amongst fintech with comparable business models or acquisitions by incumbent companies," and "more lately big tech has also joined the industry."

In the following months and years, we anticipate seeing a lot more transaction activity."

"The demand for fintech seems to be on a long-term upward trajectory." It doesn't matter whether you're a large digital company trying to expand into new financial services markets, or an established financial institution looking to provide new services, enhanced user experience, or more simplified AML and compliance; there's a demand."

Financial services partner at Hogan Lovells Michael Thomas said that he was witnessing an increasing interest in fintech enterprises, especially those that deal with crypto assets.

What Are The Technologies That Shape The Fintech

Fintech growth will continue to be driven by technological advancement and innovation, which are the linchpins of fintech development.

It is estimated that artificial intelligence (AI) may contribute up to $1 trillion to the global banking sector each year. There will be an increase in the use of automated factor discovery in financial services to assist refine financial modeling across all of the industry. One of the main examples of this is Bitcode AI, which allows crypto-traders to get the most out of the trading process with AI-generated tools. It is expected that knowledge graphs and graph computing will play an increasing role in AI semantic representation in the future. They will have far-reaching ramifications in the future because of their potential to help form linkages and find patterns across complicated financial networks, relying on a broad variety of frequently divergent data sources.

For the sake of financial model training, the use of only relevant, essential, and correctly cleansed data will be encouraged through analytics that contain privacy controls. Some of them include the use of decentralized machine learning, such as federated learning, which tackles the danger of privacy associated with centralizing datasets by bringing computing power to the data rather than the other way around, Advanced encryption, safe multi party computing, zero-knowledge proofs, and other privacy-aware data analysis techniques will open up a new frontier in consumer protection.

distributed ledger technology provides for the recording and sharing of data across different data stores while simultaneously synchronizing transactions across a network of participants at the same time; this is accomplished via distributed ledger technology (DLT).

To support ecosystem funding, DTL will enable transactions to be stored in numerous locations at the same time. Blockchain interoperability will be made easier by cross-chain technology, which allows chains built on various protocols to communicate and transfer data and value across diverse jobs and sectors, including payment processing and supply chain management.

Future advances in fintech will continue to rely on technologies such as smart contracts, zero-knowledge proof, distributed data storage/exchange, decentralized finance (DeFi), and non-fungible tokens.

According to McKinsey, the world's top 500 corporations would generate EBITDA (profits before interest, tax, depreciation, and amortization) of more than $1 trillion by 2030 as a result of cloud computing. Research demonstrates that efficient usage of the cloud increases application development and maintenance efficiency by 38 percent; increases infrastructure cost efficiency by 29 percent; and reduces application downtime by 57 percent, therefore cutting expenses associated with technical violations by 26 percent. Automated and integrated security procedures and controls may also help to strengthen the integrity of a cloud platform. 

Public cloud, hybrid cloud, and private cloud are the three basic types of cloud services that financial institutions should be familiar with. cloud service providers market their services to a broad spectrum of customers, including businesses and the general public. It is possible to build the infrastructure in the company's data centers or via other hosting facilities, but the term "private cloud" refers to a system developed specifically for a single customer's usage.

Future Of Fintech

Banking and trading staff used to rely on financial technology for back-office assistance. The high-growth darlings of Silicon Valley were seldom compared to the public corporations in the sector in question.

However, things have significantly altered. Eastern technology businesses have built messaging super-apps with hundreds of millions of users and incorporated financial services throughout the world, outcompeting the possibilities of Western-regulated nations in this regard. 

The whole value chain is being digitized. Customer connections are shifting away from face-to-face interactions and toward electronic ones in the front office. Customers are being assessed, onboarded, and served by a system of raw automation. 

Vertical rivalry across different industrial sectors has grown tremendously as a consequence of this simple automation. Now the finest digital lender is competing with the best digital payment app to deliver a top-notch online banking experience. As time goes, fintech becomes a part of our lives. In the future, the fintech industry is going to grow even more as many companies nowadays take advantage of it.