400% Growth Between 2019 & 2024, Driven by AI Deployment
New data from Juniper Research forecasts that the value of regtech spending will exceed $127 billion by 2024, up from $25 billion in 2019. This growth will be driven by a dramatic rise in the automation of resource-intensive tasks, such as those involved in KYC (Know Your Customer) checks and increasing use of AI in transaction monitoring.
According to the research, Regtech: Cost Savings, Technological Impact & Vendor Analysis 2019-2024, AI is ideally suited to regulatory space, as it can dynamically reduce false positive and false negative rates; leading to significant time, resource and ultimately cost savings for compliance monitoring processes.
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Global Regulatory Compliance Spending Set to Increase
With no anticipated relaxation of regulatory rigour over the forecast period and the ever-increasing spectre of financial penalties for non-compliance, global regulatory compliance spending will increase from just under $278 billion to more than $316 billion over the next 5 years. Juniper Research forecasts that growth in West Europe will be driven by potentially divergent regulatory rules mandated by the UK and the EU following Brexit. While disruptive, this will create additional opportunities for regtech in the region.
AI in KYC Checks to Generate Substantial Savings
The combined cost savings for KYC checks for banking and property sales will near $1 billion by 2024; a growth of 690%. The impetus for this will be efficiency savings, as well as the enhanced user experience that can be implemented in customer onboarding. This will reduce user frustration by improving response times; increasing overall user satisfaction.
As the financial systems of developing regions become more advanced, so will their needs for regtech solutions; these regions will have increased regtech spending in the longer term. The report recommends that organisations invest in the cost-saving potential of AI and cautions that although AI has vast potential, its use must be in line with overall business objectives or deployments will invariably fail to meet expectations.