Business Intelligence Software - Tanzania

The revenue in the Business Intelligence Software market in Tanzania is projected to reach US$8.28m by the year 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 8.97%, resulting in a market volume of US$12.73m by 2029.
The average Spend per Employee in the Business Intelligence Software market is projected to reach US$0.25 in 2024.
In global comparison, United States is expected to generate the most revenue, with US$13.96bn in the year 2024.
"In Tanzania, the demand for Business Intelligence Software is rapidly growing as companies seek to leverage data analytics for informed decision-making and competitive advantage."

Definition:

The Business Intelligence Software market covers software applications that support organizations in analyzing, visualizing, and reporting data. They are also used to present information in a business context and thus support rational business decisions. These applications help to access data, implement queries, create reports, and perform advanced predictive analytics.

Products in the Business Intelligence Software market can be obtained in two ways: as on-premises software that is sold via a transactional license or a subscription and as cloud-based software (software as a service/ SaaS) that is most frequently sold as a subscription.

Additional Information:

The Business Intelligence Software market comprises revenue and revenue growth as the key performance indicators. Only the revenues that are generated by primary vendors at the manufacturer price level either directly or through distribution channels (excluding value-added tax) are included and the revenues generated by resellers are excluded. Revenues are generated through both online and offline sales channels and include spending by enterprises (B2B) and governments (B2G).

Key players in this market include SAS Institute, SAP, and IBM.

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Reporting & analysis software, such as Zoho Analytics, IBM Cognos Analytics, and Domo
Advanced & predictive analytics, such as Tableau, Amazon Forecast, and Adobe Analytics

AI software platforms, such as OpenAI, Alphabet, and DeepMind
Supply chain and product analytics, such as Azure Machine Learning, Tableau, and Qlik Supply Chain Analytics
Analytic data management and integration, such as SAS, IBM, TIBCO, and DataStax
Analytics and performance management applications, such as Paycor, BambooHR, and Lattice

The demand for Business Intelligence (BI) software in Tanzania has been on the rise in recent years, as companies seek to gain insights from their data to make informed decisions.

Customer preferences: Tanzanian companies are increasingly looking for BI software that is user-friendly and customizable to their specific needs. They also prefer cloud-based solutions that are accessible from anywhere, as well as mobile compatibility for on-the-go data analysis.

Trends in the market: One trend in the Tanzanian BI software market is the growing adoption of self-service BI tools, which allow non-technical users to access and analyze data without the need for IT support. Another trend is the integration of artificial intelligence and machine learning capabilities into BI software, enabling more advanced data analysis and predictive modeling.

Local special circumstances: Tanzania has a large and diverse economy, with a mix of large corporations and small businesses operating in various sectors. This has created a demand for BI software that can handle different types and volumes of data, as well as provide industry-specific insights. Additionally, the country's infrastructure and connectivity challenges have led to a preference for cloud-based solutions that do not require extensive hardware or IT resources.

Underlying macroeconomic factors: Tanzania's economy has been growing steadily in recent years, with a focus on sectors such as agriculture, mining, and tourism. This growth has led to an increase in data generation and a need for better data analysis tools. Additionally, the government's push for digital transformation and e-governance has created a favorable environment for the adoption of BI software. However, challenges such as a lack of skilled IT professionals and data privacy concerns may hinder the market's growth.

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.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

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