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The market is anticipated to grow at a CAGR of 8.50% from 2025 to 2034. This expansion creates ample opportunities for Business Analysts, who stand at the forefront of data-driven decision-making. Ultimately, your expertise in dataanalysis and business strategy propels innovation, minimizes risks, and drives sustainable growth.
billion by 2034. This growth reflects a compound annual growth rate (CAGR) of 31.24% during the forecast period from 2025 to 2034. Transportation: Route optimisation and autonomous vehicles rely heavily on ML algorithms for real-time dataanalysis. The global deep learning market size was estimated at USD 93.72
The main goal of Data Analytics is to improve decision-making. With the proper DataAnalysis, businesses can reduce costs, increase profits, and provide better services. Types of Data Analytics Data Analytics includes different types, each serving a unique purpose. TensorFlow : A library used to create AI models.
Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in DataAnalysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.
million by 2034, growing at an impressive CAGR of 14.2%. Exalytics delivers lightning-fast dataanalysis and visualisation capabilities. Exadata accelerates query execution and optimises storage for large-scale data management. Valued at USD 17,414.36 million in 2024, the market is expected to reach USD 65,873.74
It turns raw data into powerful insights, helping businesses predict trends, improve efficiency, and stay ahead of the competition. With companies relying more on data, the business analytics market is booming! billion by 2034. Thats an 8.50% annual growth rateproving that businesses invest big in data-driven strategies.
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