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Business Intelligence Software - Saudi Arabia

Saudi Arabia

The Business Intelligence Software market in Saudi Arabia is expected to see a significant increase in revenue, reaching a projected amount of €52.43m in 2024.
This growth is anticipated to continue with an annual growth rate (CAGR 2024-2029) of 4.08%, resulting in a market volume of €64.02m by 2029.
Furthermore, the average Spend per Employee in the Business Intelligence Software market is estimated to reach €3.17 in 2024.
It is worth noting that in comparison to global markets, United States is expected to generate the highest revenue, with an estimated amount of €12,950.00m in 2024.
Saudi Arabia is experiencing a growing demand for Business Intelligence Software, as companies seek to enhance data-driven decision-making processes.

Key regions: United States, France, Germany, South Korea, Canada

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Business Intelligence Software market in Saudi Arabia has been experiencing significant growth over the past few years.

Customer preferences: Saudi Arabian companies have been increasingly adopting Business Intelligence Software to improve their decision-making processes and gain a competitive edge in the market. The software is being used for various purposes such as data analysis, reporting, and forecasting. Companies are also showing a growing interest in cloud-based Business Intelligence Software solutions due to their flexibility and scalability.

Trends in the market: One of the major trends in the Business Intelligence Software market in Saudi Arabia is the increasing demand for self-service analytics tools. These tools allow users to access and analyze data without the need for IT support, which is particularly important for small and medium-sized enterprises (SMEs) that may not have dedicated IT departments. Another trend is the growing use of artificial intelligence (AI) and machine learning (ML) in Business Intelligence Software. These technologies enable companies to automate data analysis and gain insights faster and more accurately.

Local special circumstances: The Saudi Arabian government has been investing heavily in digital transformation initiatives, which has created a favorable environment for the growth of the Business Intelligence Software market. Additionally, the country's Vision 2030 plan aims to diversify the economy and reduce dependence on oil, which has led to a greater focus on data-driven decision-making across various sectors.

Underlying macroeconomic factors: Saudi Arabia's economy is heavily dependent on oil exports, which has made it vulnerable to fluctuations in oil prices. However, the government's efforts to diversify the economy have led to increased investment in non-oil sectors such as healthcare, education, and tourism. This has created new opportunities for Business Intelligence Software vendors to cater to the needs of these industries. The country's young and tech-savvy population is also a driving force behind the growth of the Business Intelligence Software market, as they are more likely to embrace new technologies and demand data-driven decision-making processes.

Methodology

Data coverage:

The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the allocation to the country where the money was spent at manufacturer price level (excluding VAT).

Modeling approach / Market size:

The segment size is determined through a top-down approach. We use financial statements such as annual reports, quarterly earnings, and expert opinions to analyze the markets. To estimate the segment size for each country individually, we use relevant key market indicators and data from country-specific industry associations such as GDP, level of digitization, GDP sector composition, and observed level of software piracy.

Forecasts:

We use a variety of forecasting techniques, for instance, advanced statistical methods, depending on the behavior of the relevant segment. The main drivers are the GDP and the level of digitization.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level.