Definition:
Machine learning is a branch of artificial intelligence that involves the use of algorithms and statistical models to enable computer systems to learn from data and improve their performance on a task. It has a wide range of applications, including image and speech recognition, natural language processing, and predictive analytics. The Machine Learning market includes software platforms, tools, and services that enable organizations to develop and deploy machine learning applications.
Additional Information:
The Machine Learning market comprises two key performance indicators: market sizes, and market sizes by industry. Market sizes are generated by the funding amount of Artificial Intelligence (AI) companies. Key players of the market include companies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
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Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.
Most recent update: Mar 2024
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
The Artificial Intelligence market in Bangladesh has been rapidly growing due to the high demand for Machine Learning technology. Factors such as increasing use of digital tools, rising health consciousness, and the convenience of online health services are driving this extraordinary growth rate.
Customer preferences: As technology continues to advance, consumers in Bangladesh are increasingly turning to machine learning solutions for everyday tasks. This trend is driven by the need for efficient and personalized services, particularly in the areas of e-commerce and customer service. With a growing tech-savvy population, businesses are adopting machine learning technologies to enhance customer experiences and streamline operations. This shift towards automation and AI-powered services is also influenced by the country's young and digitally connected population.
Trends in the market: In Bangladesh, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand for chatbot technology, with businesses adopting chatbots to improve customer service and enhance efficiency. Additionally, there is a growing trend of using machine learning for fraud detection and risk management in the banking and finance sector. These trends are significant as they indicate a shift towards integrating AI into various industries. This trajectory is expected to continue, leading to increased adoption of AI technologies and potential implications for industry stakeholders in terms of improved customer service, cost savings, and enhanced productivity.
Local special circumstances: In Bangladesh, the Machine Learning Market within the Artificial Intelligence Market is growing rapidly due to the country's increasing focus on digitalization and adoption of emerging technologies. This is supported by the government's initiatives to promote a digital economy and the growing tech-savvy population. Additionally, the country's low labor costs and availability of a large pool of skilled IT professionals make it an attractive destination for outsourcing machine learning services. However, strict data privacy regulations and limited internet penetration in rural areas may pose challenges for market growth.
Underlying macroeconomic factors: The Machine Learning Market within the Artificial Intelligence Market in Bangladesh is primarily driven by macroeconomic factors such as technological advancements, government support, and investment in the country's digital infrastructure. As the global economy continues to embrace AI and its applications, Bangladesh is positioning itself as a leader in the field with its favorable regulatory environment and investments in cutting-edge technologies. The growing demand for AI solutions in sectors such as finance, healthcare, and agriculture is also contributing to the market's growth. Furthermore, the country's young population and rising disposable income are creating a favorable market environment for AI-based products and services.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.
Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us 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 relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.
Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.
Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights