Market Insights Financial Corporate Finance

Mergers and Acquisitions - Central & Western Europe

Central & Western Europe

The transaction value in the Mergers and Acquisitions market is projected to reach US$0.43tn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2025) of 0.00% resulting in a projected total amount of US$0.43tn by 2025.
The average transaction value in the Mergers and Acquisitions market amounts to US$232.00m in 2024.
From a global comparison perspective, it is shown that the highest transaction value is reached in the United States (US$1,359.00bn in 2024).

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Analyst Opinion

The emphasis on sustainability, rigorous risk management, and seamless integration of digital technologies in the Mergers and Acquisitions market signifies a thriving environment for deals. This strategic orientation, coupled with adeptness in global policies, staying vigilant about geopolitical shifts, and skillfully managing currency risks, lays a solid foundation for a surge in both the quantity and magnitude of successful M&A transactions.

Trends on the market:

Sustainability and ESG Focus: The Mergers and Acquisitions market is significantly influenced by a growing emphasis on sustainability and ESG (Environmental, Social, and Governance) factors. Companies pursuing M&A opportunities are increasingly considering the alignment of target firms with sustainable business practices.
Volatility and Risk Management: Persistent market volatility continues to shape the Global Mergers and Acquisitions landscape. Uncertainties stemming from geopolitical events and economic fluctuations necessitate rigorous risk assessment and mitigation strategies. Due diligence and robust risk management frameworks are paramount for successful M&A transactions.
Digitization and Technology Adoption: The integration of digital technologies remains a prominent driver in the M&A space. Firms leveraging advanced analytics, data-driven insights, and innovative deal-making platforms are poised to enhance transaction efficiency and maximize value creation.

Underlying Indicators:

Global Policies: The evolving landscape of global policies continues to have a significant impact on M&A activities. Regulatory changes, trade agreements, and tax reforms directly influence deal structures and cross-border transactions. Adapting to these shifts is crucial for executing successful mergers and acquisitions.
Geopolitical Events: Geopolitical events remain a critical factor in M&A decision-making. Shifts in trade dynamics, political instability, and regional conflicts can introduce unforeseen risks and opportunities. A comprehensive understanding of geopolitical nuances is essential for navigating the M&A landscape effectively.
Exchange Rates: Exchange rate fluctuations continue to be a pivotal consideration in cross-border M&A transactions. Variations in currency valuations can impact deal valuations and financing costs. Implementing sound currency risk management strategies is imperative for mitigating potential adverse effects on transaction outcomes.

Methodology

Data coverage:

Figures are based on the revenue generated by the Investment Banking market, as well as the transaction value, the number of transactions, and the average transactions size of the Mergers and Acquisitions (M&As) and Initial Public Offerings (IPOs) markets.

Modeling approach / Market size:

Market sizes are determined by a bottom-up approach and are based on a specific rationale for each market. As a basis for evaluating markets, we use market research and analysis, as well as data from annual financial reports. Furthermore, we use relevant key market indicators and data from country-specific associations and national data bureaus, such as GDP, wealth per capita, and total investment (% of GDP). This data helps us to estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. In this market, we use the HOLT-damped Trend method to forecast future development. The main drivers are GDP per capita and total investment (% of GDP). The scenario analysis is based on a Monte Carlo simulation approach generating a range of possible outcomes by creating random variations in forecasted data points, based on assumptions about potential fluctuations in future values. By running numerous simulated scenarios, the model provides an estimated distribution of results, allowing for an analysis of likely ranges and confidence intervals around the forecast.

Additional Notes:

The market is updated twice per year in the event that market dynamics change.