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Published :24 January 2024
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Exploring the Top 12 Tools for Data Analytics in 2024


The current market size for data analytics varies across different sources. According to the provided Web Search Results, the global data analytics market size was exhibited at USD 30 billion in 2022 and is projected to surpass around USD 393.35 billion by 2032, with a forecasted growth at a CAGR of 29.4% during the forecast period 2023 to 2032[1]. Another source states that the big data analytics market size was valued at USD 271.83 billion in 2022 and is projected to grow from USD 307.52 billion in 2023 on the back of a 13.5% CAGR from now until 2030. Additionally, the data analytics market size was valued at USD 55.1 billion in 2022 and is projected to grow from USD 7.03 billion in 2023 to USD 303.4 billion by 2030, exhibiting a CAGR of 27.60% during the forecast period (2023 - 2030).

The top 12 AI data analytics tools

These tools represent a diverse range of AI data analytics applications, from text analysis and visualization to business intelligence and predictive insights. Each tool offers unique features and pricing plans to meet various data analysis needs.


ChatGPT, although primarily known as a conversational AI model, can also serve as a valuable tool in data analytics. With its natural language processing capabilities, ChatGPT can assist in extracting insights from large datasets, interpreting complex queries, and providing meaningful responses to data-related inquiries. By interacting with ChatGPT, users can streamline the process of querying and analyzing data, making it a versatile tool for professionals seeking efficient and intuitive data analytics support. Its ability to understand and generate human-like text makes it accessible and user-friendly, bridging the gap between data experts and those seeking valuable information from datasets.

Tableau GPT and Tableau Pulse 

Tableau GPT and Tableau Pulse are groundbreaking AI-assisted data analytics tools introduced by Tableau, a Salesforce company. These tools are designed to revolutionize the data analysis experience by leveraging generative AI to provide automatic data analysis and personalized analytics experiences, thus enabling users to make informed decisions swiftly and efficiently.


Polymer is an open-source JavaScript library for building web applications. However, it is important to note that Polymer is not a data analytics tool; instead, it is primarily focused on web components and web application development. The content retrieved from the web search results does not relate to Polymer as a data analytics tool. If you have a specific query about a data analytics tool or require information on a different topic


MonkeyLearn is a user-friendly, no-coding-required platform that offers AI-powered text analysis tools and machine learning models. It enables users to extract valuable insights from unstructured data sources such as customer feedback, emails, social media, and more. With its intuitive interface and extensive range of pre-built models, MonkeyLearn allows both technical and non-technical users to easily create custom text analysis models tailored to their specific needs. Additionally, MonkeyLearn provides seamless integrations with popular applications and programming languages, making it a versatile and powerful tool for text analysis and natural language processing tasks.

Qlik Sense

Qlik Sense is a powerful data visualization and business intelligence platform that allows users to create interactive and personalized data visualizations, reports, and dashboards. It enables users to explore and analyze vast amounts of data from multiple sources, uncovering hidden insights and making data-driven decisions.

Microsoft Power BI

Microsoft Power BI is a powerful business intelligence tool that enables users to visualize and share insights from their organization's data. It offers a user-friendly interface and a wide range of data connectivity options, allowing users to easily connect to various data sources, create interactive dashboards, and generate compelling reports. With features such as AI-powered analytics, real-time dashboards, and seamless integration with Microsoft products, Power BI empowers users to make data-driven decisions and gain valuable insights into their business operations. Its cloud-based nature enables easy collaboration and sharing of reports and dashboards across the organization, making it a popular choice for businesses looking to harness the power of their data for informed decision-making.


Sisense is a leading business intelligence platform that empowers organizations to analyze and visualize complex data sets to derive actionable insights. It is renowned for its user-friendly interface, robust analytics capabilities, and seamless integration with various data sources, enabling users to gain comprehensive and real-time insights into their business performance.

Kanaries RATH

Kanaries RATH is an innovative platform designed as an augmented analytic engine for data exploration and visualization. It offers a fully automated way to explore and visualize datasets with one click, along with the ability to identify and examine causal relationships between variables for better prediction models and business decision-making. The platform is designed to redefine the workflow of data wrangling, exploration, and visualization with AI-powered automation, making data analysis and visualization more accessible and impactful for decision-making processes.


H2O.ai is an influential leader in democratizing AI, aiming to make machine learning (ML) accessible to corporations and business users across various industries. The company emphasizes community-powered development, freedom to innovate, customer empathy, and doing good as its core values. H2O.ai offers a diverse set of products and solutions that cater to different user profiles, including expert data scientists, junior data scientists, AI middleware users, software developers, and business users. Their platform, the H2O AI Cloud, enables organizations to make, operate, and innovate with AI, accelerating responsible innovation and pushing the boundaries of what is possible with artificial intelligence.


Akkio is an artificial intelligence platform designed to enhance client operations through data analytics. It has a special generative AI function and even makes it possible to build personalized chatbots that let users ask questions, produce charts, and get insights from their data without requiring any coding knowledge.

For any data project, the Akkio AI platform also helps with the instantaneous creation of personalized client dashboards. Users only need to link their data and specify the objectives of their projects; Akkio then generates an AI-generated report that can be used to optimize ad spend, monitor trends, or meet other particular requirements.


AnswerRocket is a powerful data analytics platform designed to provide business users with intuitive access to data insights through natural language processing. The platform enables users to ask questions in plain language, allowing for easy and efficient data exploration and visualization.

Julius AI 

Julius AI uses artificial intelligence methods to explore intricate datasets. It makes use of machine learning algorithms to handle and analyze vast amounts of data, as well as to learn from it and progressively increase the precision and effectiveness of data interpretation. Julius AI's self-learning feature allows it to adjust to shifting data trends and patterns, giving enterprises up-to-date and forward-looking insights.

Its AI for data analytics tools can also assist organizations find insights that can guide more strategic and nuanced decision-making by spotting hidden patterns and subtle connections that may escape traditional analysis methods.

Benefits of AI in Data Analytics 

AI (Artificial Intelligence) plays a pivotal role in revolutionizing the field of data analytics, offering a myriad of benefits. Some key advantages include:

Enhanced Data Processing Speed

AI accelerates data processing, enabling rapid analysis of large datasets. This speed enhances the efficiency of data analytics processes, leading to quicker insights and informed decision-making.

Advanced Pattern Recognition

AI algorithms excel in identifying complex patterns within datasets and uncovering correlations, trends, and outliers that may be challenging for traditional analytics methods. This advanced pattern recognition enhances the depth of insights gained from data.

Predictive Analytics Capabilities

AI-powered models can predict future trends based on historical data, providing organizations with valuable foresight. Predictive analytics allows businesses to proactively address challenges, capitalize on opportunities, and optimize strategies.

Automation of Repetitive Tasks

AI automates routine and repetitive tasks in data analytics workflows. This automation reduces manual efforts, allowing data analysts to focus on more strategic and complex aspects of analysis, thereby increasing overall productivity.

Improved Decision-Making

AI contributes to better decision-making by providing accurate and timely insights. The ability to quickly analyze and interpret data allows decision-makers to make informed choices, leading to more effective strategies and outcomes.

End Note

In conclusion, the integration of AI in data analytics has revolutionized the way businesses extract value from their datasets. The benefits, ranging from enhanced processing speed to advanced pattern recognition and predictive analytics, underscore the pivotal role AI plays in driving informed decision-making and business success. As organizations navigate the evolving landscape of data analytics, embracing AI becomes imperative for staying competitive and unlocking new opportunities. At the forefront of technological innovation, Osiz Technologies stands as a leading AI Development Company, offering not only expertise in AI but also comprehensive blockchain solutions, ensuring clients harness the full potential of transformative technologies for sustained growth and success.

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Founder & CEO Osiz Technologies

Mr. Thangapandi, the CEO of Osiz, has a proven track record of conceptualizing and architecting 100+ user-centric and scalable solutions for startups and enterprises. He brings a deep understanding of both technical and user experience aspects. The CEO, being an early adopter of new technology, said, \"I believe in the transformative power of AI to revolutionize industries and improve lives. My goal is to integrate AI in ways that not only enhance operational efficiency but also drive sustainable development and innovation.\" Proving his commitment, Mr. Thangapandi has built a dedicated team of AI experts proficient in coming up with innovative AI solutions and have successfully completed several AI projects across diverse sectors.

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