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trillion on AI by 2030 ? With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. It makes datapreparation faster. Preparingdata for analysis is time-consuming if you do it manually.
According to a recent report, the global embedded AI market is projected to reach US$826.70bn in 2030, growing at a compound annual growth rate (CAGR) of 28.46% from 2024 to 2030. This involves: DataPreparation : Collect and preprocess data to ensure it is suitable for training your model.
trillion to the global economy in 2030, more than the current output of China and India combined.” Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. PwC calculates that “AI could contribute up to USD 15.7
billion by 2030, with an impressive CAGR of 27.3% from 2023 to 2030. This article highlights the key Data Analytics trends shaping 2025, empowering businesses to leverage cutting-edge insights and stay ahead in an increasingly data-driven world. billion in 2022, it is projected to surge to USD 279.31
Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features. billion by 2030 at a CAGR of 9.1% , businesses are increasingly seeking alternatives that may better suit their unique needs. billion to USD 54.27
million by 2030, with a remarkable CAGR of 44.8% Data Transformation Transforming dataprepares it for Machine Learning models. Encoding categorical variables converts non-numeric data into a usable format for ML models, often using techniques like one-hot encoding. during the forecast period.
They allow organisations to handle vast amounts of data efficiently and ensure that data flows smoothly through various stages of transformation and storage. The global data pipeline tools market was estimated at USD 12,086.5 from 2025 to 2030. million in 2024 and is projected to grow at a CAGR of 26.8%
The global market for generative AI is projected to reach $110 billion by 2030, with significant applications across various sectors, including finance, healthcare, and retail. This rapid growth underscores the importance of understanding how GenAI can be leveraged in Data Analytics to address current challenges and unlock new opportunities.
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