In 2017, the Augmented Analytics Market was estimated to be worth $4,094 million. By 2025, it is expected to have grown to $29,856 million, with a CAGR of 28.4%.
Some of the key factors that are anticipated to drive the growth of the global market include an increase in the need to democratize analytics and boost productivity, an increase in enterprises’ awareness of the need to creatively use the expanding streams of data from various sources, and an increase in the need to facilitate the work of citizen data scientists and business users. However, it is anticipated that worries over data security may impede market expansion.
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The augmented analytics market is undergoing a transformative shift driven by the integration of advanced technologies such as machine learning, artificial intelligence, and natural language processing. Traditional analytics tools are giving way to more intuitive and automated solutions that empower businesses to extract actionable insights from their data. Augmented analytics leverages these technologies to assist users in data preparation, analysis, and interpretation. This trend is reshaping decision-making processes across industries by enabling non-technical users to interact with complex data sets, fostering a culture of data-driven decision-making.
Augmented analytics is democratizing data analysis by minimizing the technical barriers that once restricted access to insights. This trend empowers business users, irrespective of their technical expertise, to perform advanced analytics tasks. With the rise of self-service analytics platforms, individuals across departments can access pre-built models, automated recommendations, and interactive visualizations. As a result, companies are fostering a more inclusive and collaborative approach to analytics, where insights are accessible to a broader range of stakeholders.
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The evolution of augmented analytics is marked by its increasing focus on predictive capabilities. Machine learning algorithms embedded within these platforms are becoming more adept at identifying patterns and trends in historical data to make accurate predictions about future outcomes. Businesses are leveraging these predictive insights for proactive decision-making, optimizing operations, and identifying growth opportunities. The shift towards predictive analytics is enabling organizations to move beyond reactive strategies and anticipate market shifts and customer preferences.
Another significant trend in the augmented analytics market is the integration of analytics directly into business applications and workflows. This approach, known as embedded analytics, allows users to access insights seamlessly within the tools they use daily. Whether it’s CRM software, project management tools, or communication platforms, augmented analytics is being integrated to provide contextual insights, empowering users to make informed decisions without switching between applications. This trend not only enhances the usability of analytics but also increases its impact by ensuring that insights are readily available at the point of action.
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The cloud deployment segment is expected to grow at the highest CAGR during the forecast period due to greater prospect to facilitate real business value to the organization through reduced cost. In addition, direct IT control, internal data delivery & handling, faster data processing, efficient resource utilization, and cost-effectiveness of cloud deployment are some of the advantages offered by this deployment mode, which in turn are anticipated to boost the augmented analytics market growth.
Some of the key players operating in the augmented analytics market include IBM Corporation, Qlik, Tableau Software, Tibco Software, Salesforce, Sisense Inc., SAP SE, SAS Institute, Microsoft, and ThoughtSpot.
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