GITNUX MARKETDATA REPORT 2024

AI In Fintech Industry Statistics

Increased adoption of AI in the fintech industry leading to improved efficiency, better risk management, and enhanced customer experience.

Highlights: Ai In Fintech Industry Statistics

  • By 2030, AI is projected to add $15.7 trillion to the global economy.
  • By 2027, the global AI in Fintech market is projected to reach $26 billion.
  • Predictive analytics, a type of AI, accounted for 27% of the market share in 2020.
  • Nearly 40% of European financial institutions are implementing or planning to implement AI in their systems.
  • AI has the potential to save the banking industry $447 billion by 2023.
  • By 2025, AI in the financial services market in the Asia-Pacific region is expected to reach $4.29 billion.
  • Investment in AI by businesses in the financial sector increased by around 46% annually from 2015 to 2020.
  • 36% of organizations in the financial sector adopt AI for IT functions.
  • 96% of senior financial services professionals believe AI is transforming their industry.
  • By 2030, financial services firms could increase their revenue by 32% by fully implementing AI in their operations.
  • Over 80% of financial services companies are developing in-house AI capabilities.
  • The AI in Fintech solutions market is predicted to grow at a CAGR of 23.37% during the period 2019-2024.
  • 83% of the most aggressive adopters of AI and cognitive technologies in the financial sector believe they will gain a competitive advantage by doing so.
  • 67% of banking executives believe AI will drive significant change in their organizations.
  • Fraud detection and prevention was the largest application share segment within the AI in Fintech market in 2020.
  • By 2020, AI Chatbots saved banks 0.3 billion dollars globally.
  • 27% of consumers would buy a banking product from a fintech company using AI.

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The Latest Ai In Fintech Industry Statistics Explained

By 2030, AI is projected to add $15.7 trillion to the global economy.

The statistic signifies that by the year 2030, artificial intelligence (AI) is anticipated to contribute significantly to the global economy by adding an estimated $15.7 trillion in value. This projection highlights the economic impact of AI technologies in various sectors such as healthcare, finance, manufacturing, and more. The widespread adoption of AI is expected to drive efficiency, productivity, and innovation, which in turn can lead to substantial economic growth. This statistic underscores the transformative potential of AI in shaping the future of the global economy and emphasizes the importance of harnessing AI capabilities to drive sustainable development and create new opportunities for businesses and societies worldwide.

By 2027, the global AI in Fintech market is projected to reach $26 billion.

The statistic that by 2027, the global AI in Fintech market is projected to reach $26 billion indicates the significant growth and adoption of artificial intelligence technologies within the financial technology sector. This projection suggests a substantial increase in investment and development of AI solutions tailored for the finance industry, such as automated customer service, fraud detection, risk management, and personalized financial recommendations. The anticipated market size reflects the industry’s recognition of the value and potential impact of leveraging AI to enhance efficiency, accuracy, and customer experience in financial services. This trend underscores the importance of AI in driving innovation and transformation in the fintech landscape, presenting both opportunities and challenges for businesses seeking to stay competitive in the rapidly evolving market.

Predictive analytics, a type of AI, accounted for 27% of the market share in 2020.

The statistic indicates that predictive analytics, which is a type of artificial intelligence technology used to predict future outcomes based on historical data and statistical algorithms, held a significant market share of 27% in 2020. This suggests that businesses and organizations are increasingly turning to predictive analytics to gain insights, make data-driven decisions, and anticipate future trends. The popularity of predictive analytics highlights the growing importance of leveraging advanced data analysis techniques to stay competitive in various industries, leading to increased adoption and investment in AI technologies for predictive purposes.

Nearly 40% of European financial institutions are implementing or planning to implement AI in their systems.

The statistic “Nearly 40% of European financial institutions are implementing or planning to implement AI in their systems” indicates a significant and growing trend towards the adoption of artificial intelligence (AI) technologies within the financial industry in Europe. This suggests that a large proportion of financial institutions are recognizing the potential benefits of AI in enhancing their operations, improving decision-making processes, enhancing customer experiences, and driving innovation. The statistic underscores the increasing importance of AI in the financial sector and highlights a shift towards leveraging advanced technologies to stay competitive in a rapidly evolving market landscape, ultimately aiming to improve efficiency, accuracy, and overall business performance within these institutions.

AI has the potential to save the banking industry $447 billion by 2023.

The statistic suggests that artificial intelligence (AI) has the capability to generate significant cost savings in the banking industry, amounting to $447 billion by the year 2023. This figure implies that AI technologies, such as machine learning algorithms and chatbots, can streamline banking operations, enhance customer service, and improve decision-making processes within financial institutions. By leveraging AI tools, banks can automate routine tasks, detect fraud more effectively, personalize customer experiences, and optimize business operations, ultimately leading to substantial cost reductions. This statistic underscores the transformative potential of AI in revolutionizing the banking sector and driving substantial financial benefits in the near future.

By 2025, AI in the financial services market in the Asia-Pacific region is expected to reach $4.29 billion.

The statistic indicates that the application of artificial intelligence (AI) within the financial services sector in the Asia-Pacific region is projected to grow significantly, with an estimated market value of $4.29 billion by the year 2025. This growth is reflective of the increasing adoption of AI technologies in areas such as algorithmic trading, risk management, fraud detection, customer service, and personalized financial recommendations. The use of AI in financial services can lead to improved efficiency, enhanced decision-making processes, and more personalized customer experiences. The projected market value suggests that AI will continue to play a crucial role in shaping the future of the financial services industry in the Asia-Pacific region, driving innovation and competitive advantage for companies operating in this sector.

Investment in AI by businesses in the financial sector increased by around 46% annually from 2015 to 2020.

The statistic indicates that businesses in the financial sector have significantly increased their investment in artificial intelligence (AI) technology over the 5-year period from 2015 to 2020. Specifically, the annual growth rate of AI investment in this sector has been approximately 46%, highlighting a substantial commitment to leveraging AI capabilities to enhance operations, customer service, risk management, and decision-making processes. This rapid growth suggests that businesses in the financial sector recognize the strategic importance of AI in staying competitive and meeting the evolving demands of the industry through innovative technologies and data-driven solutions.

36% of organizations in the financial sector adopt AI for IT functions.

The statistic “36% of organizations in the financial sector adopt AI for IT functions” indicates that approximately one-third of companies within the financial industry have implemented artificial intelligence (AI) technology to enhance their IT operations. This suggests a growing trend towards utilizing AI solutions to improve efficiency, optimize resource allocation, and streamline various IT functions within financial organizations. By embracing AI technology, these companies are potentially gaining a competitive edge by harnessing the power of machine learning algorithms and automation to drive innovation and digital transformation in their IT processes.

96% of senior financial services professionals believe AI is transforming their industry.

The statistic “96% of senior financial services professionals believe AI is transforming their industry” indicates a widespread recognition among professionals in the financial services sector that artificial intelligence (AI) is significantly impacting their industry. This high percentage suggests a strong consensus that AI technologies are bringing about substantial changes in how financial services are delivered, from improving operational efficiency to enhancing customer experiences. The statistic underscores the importance of AI as a transformative force in the financial services industry, prompting organizations to adapt and innovate in order to leverage the potential benefits of AI technologies and stay competitive in an increasingly data-driven and technologically advanced landscape.

By 2030, financial services firms could increase their revenue by 32% by fully implementing AI in their operations.

The statistic suggests that financial services firms could see a substantial potential increase in revenue by fully integrating artificial intelligence (AI) into their operational processes by the year 2030. Specifically, the projection indicates a 32% growth in revenue. This growth is likely attributed to the enhanced efficiency, productivity, and decision-making capabilities that AI technologies can offer within the financial services sector. By leveraging AI tools such as algorithms for data analysis, chatbots for customer service, and risk assessment models, firms can streamline operations, reduce costs, and deliver more personalized services to clients. Therefore, the statistic underscores the significant potential benefits and competitive advantages that AI adoption can bring to financial services firms in the next decade.

Over 80% of financial services companies are developing in-house AI capabilities.

The statistic ‘Over 80% of financial services companies are developing in-house AI capabilities’ indicates that a large majority of financial institutions in the financial services sector are investing in and implementing artificial intelligence technologies internally. This suggests a widespread recognition within the industry of the potential benefits that AI can provide, such as improved operational efficiency, enhanced customer experiences, and more accurate risk management. The trend also reflects a strategic shift towards leveraging advanced technologies to stay competitive and meet the evolving needs of customers in the digital age. Overall, the statistic highlights the increasing importance of AI in shaping the future of financial services and underscores the industry’s commitment to innovation and technological advancement.

The AI in Fintech solutions market is predicted to grow at a CAGR of 23.37% during the period 2019-2024.

The statistic indicates that the artificial intelligence (AI) in financial technology (Fintech) solutions market is forecasted to experience a Compound Annual Growth Rate (CAGR) of 23.37% from 2019 to 2024. This implies that the market for AI technologies in the Fintech sector is expected to expand significantly over the five-year period, showcasing strong growth potential. The CAGR represents the annual growth rate that, if sustained over the specified period, would lead to the predicted overall growth rate. Therefore, the projection suggests a rapid acceleration in the adoption and utilization of AI-driven solutions within the Fintech industry, indicating a promising future for the integration of AI in financial technology services.

83% of the most aggressive adopters of AI and cognitive technologies in the financial sector believe they will gain a competitive advantage by doing so.

The statistic “83% of the most aggressive adopters of AI and cognitive technologies in the financial sector believe they will gain a competitive advantage by doing so” indicates that a large majority of firms who are early and enthusiastic adopters of artificial intelligence and cognitive technologies in the financial sector are confident about the positive impact it will have on their competitive positioning. This suggests that these firms perceive AI adoption as a strategic tool that can differentiate them from their peers and provide them with a competitive edge in the market. By leveraging AI technology effectively, these firms expect to improve their operational efficiency, enhance decision-making processes, and ultimately outperform their competitors in the fast-evolving financial industry.

67% of banking executives believe AI will drive significant change in their organizations.

The statistic suggests that a majority of banking executives, specifically 67%, anticipate significant transformation within their organizations as a result of artificial intelligence (AI) adoption. This indicates a widespread recognition among industry leaders that AI technologies have the potential to drive substantial changes in the way banking operations are conducted. The high percentage of executives holding this belief underscores the growing influence and relevance of AI in the banking sector, prompting organizations to proactively adapt and leverage these technologies to stay competitive and innovative in a rapidly evolving industry landscape.

Fraud detection and prevention was the largest application share segment within the AI in Fintech market in 2020.

In 2020, within the AI in Fintech market, the largest application share segment was fraud detection and prevention. This statistic indicates that a significant portion of the use of artificial intelligence in the financial technology industry was dedicated to identifying and mitigating fraudulent activities. Given the increasing sophistication and prevalence of financial fraud, companies in the fintech sector have been investing heavily in AI technologies to enhance their ability to detect and prevent fraudulent transactions. This focus on fraud detection and prevention highlights the critical role that AI plays in safeguarding financial institutions and their customers from potential economic losses and security breaches.

By 2020, AI Chatbots saved banks 0.3 billion dollars globally.

The statistic that by 2020, AI Chatbots saved banks 0.3 billion dollars globally indicates the amount of cost savings achieved by banks worldwide through the implementation of artificial intelligence chatbots in that year. AI chatbots are computer programs designed to simulate conversation with human users, providing customer service, answering queries, and performing various tasks autonomously. These chatbots have been adopted by banks to streamline operations, improve customer service efficiency, and reduce operational costs. The 0.3 billion dollars saved signifies the significant impact AI chatbots have had on the banking industry by enhancing operational efficiency and ultimately contributing to financial savings on a global scale.

27% of consumers would buy a banking product from a fintech company using AI.

The statistic ‘27% of consumers would buy a banking product from a fintech company using AI’ indicates the percentage of consumers who express an interest in purchasing a banking product from a financial technology (fintech) company that utilizes artificial intelligence (AI) technology. This statistic suggests that there is a notable portion of consumers who are open to exploring innovative banking solutions offered by fintech companies that leverage AI capabilities. The findings imply a potential market opportunity for fintech companies to develop and market AI-powered banking products that cater to this segment of consumers who value technological advancements in the financial services industry.

References

0. – https://www.www2.deloitte.com

1. – https://www.www.pwc.in

2. – https://www.www.statista.com

3. – https://www.www.americanbanker.com

4. – https://www.www.fintechnews.org

5. – https://www.www.businessinsider.com

6. – https://www.www.pwc.com

7. – https://www.www.accenture.com

8. – https://www.www.mordorintelligence.com

9. – https://www.www.globenewswire.com

10. – https://www.www.economist.com

11. – https://www.www.fortunebusinessinsights.com

12. – https://www.www.marketsandmarkets.com

13. – https://www.hbr.org

14. – https://www.www.juniperresearch.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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