March 1, 2024
Treasury Management Market

Treasury Management Market Propelled by Integration of Artificial Intelligence into Treasury Software

Treasury management refers to the efficient handling of cash flow, capital investment and financing activities of a business. Treasury management software helps companies manage cash flow, plan financing and investments, track bank accounts as well as automate payment processes. They offer advantages such as improved visibility, control and automation of key treasury functions. The growing needs of businesses for solutions to efficiently manage treasury operations is driving demand for treasury management software globally.

The global Treasury Management Market is estimated to be valued at US$ 5.1 Bn in 2023 and is expected to exhibit a CAGR of 6.8% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market key trends:

One of the major trends propelling growth of the treasury management market is integration of artificial intelligence into treasury software. AI is allowing treasury software to analyze huge amounts of data, identify patterns and make predictive recommendations. Use of AI helps improve process automation, risk management capabilities as well as cash flow forecasting accuracy of treasury management solutions. AI-powered features such as automated data extraction, predictive analytics for cash flow planning and virtual assistants for treasury queries are gaining popularity. Integration of AI is enabling treasury teams to make better and faster decisions, thereby improving overall efficiency of treasury operations. This growing use of AI technologies is expected to significantly drive demand for advanced treasury management solutions in the coming years.

SWOT Analysis

Strength: Treasury management solutions offer improved control and risk management capabilities that help organizations reduce costs and enhance efficiency. They provide real-time visibility into cash flow and liquidity positions.

Weakness: High initial investment costs associated with deployment and maintenance of treasury management solutions can be prohibitive for small and medium enterprises. Dependence on technical expertise for system integration and support also poses challenges.

Opportunity: Growing adoption of cloud-based treasury management solutions driven by their scalability, flexibility and low upfront costs present lucrative opportunities. Expanding treasury operations of large enterprises across global locations also boosts demand.

Threats: Cybersecurity threats pose major risks to treasury operations and data security. Stiff competition among vendors and the need for frequent upgrades also threaten profitability.

Key Takeaways

The Global Treasury Management Market Size is expected to witness high growth over the forecast period driven by benefits such as improved control, risk management and operational efficiency. The global Treasury Management Market is estimated to be valued at US$ 5.1 Bn in 2023 and is expected to exhibit a CAGR of 6.8% over the forecast period 2023 to 2030.

North America currently holds the largest share of the market owing to widespread adoption of advanced financial technologies among large enterprises in the region. The market is seeing growing demand from businesses across sectors aiming to streamline treasury processes and gain real-time visibility into cash flows.

Key players operating in the treasury management market are ABB Ltd., NXP Semiconductors N.V., Bel Fuse Inc., Larsen & Toubro Limited, Schneider Electric SE, Rockwell Automation, Inc., Mitsubishi Electric Corporation, Siemens AG, Eaton Corporation plc., and General Electric Company. These vendors offer comprehensive portfolio of treasury management solutions featuring modules for cash and liquidity management, payment and collection, trade finance and working capital management. They are focusing on partnerships with regional and local banks to expand customer outreach.

*Note:
1.Source: Coherent Market Insights, Public sources, Desk research
2.We have leveraged AI tools to mine information and compile it