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Global Market Insights for Video, Text & Marketing Analytics to 2026

marketing analytics

The “2021 Analytics Research Review” report has been added to ResearchAndMarkets.com’s offering.

AI analytics uses machine learning techniques to detect data patterns to make informed decisions. Businesses across many sectors utilize information processed by AI analytics to make data-driven decisions that optimize their processes. This system is the result of applying today’s AI, deep learning and ML technology to automate data analysis, which was previously a time-consuming and labor-intensive activity. AI analytics techniques such as natural language processing (NLP), voice analytics transcription and computer vision for image and video analytics are increasingly able to analyze unstructured data in addition to structured data sources.

For instance, to execute an efficient and profitable marketing plan, businesses must be equipped with the appropriate measurement tools. Marketing analytics enables enterprises to precisely assess the effectiveness of their campaigns and make data-driven decisions. Rather than basing marketing initiatives on disparate data sources or assumptions, marketing analytics enables businesses to view the full picture across all marketing channels, enabling them to make informed decisions about their marketing activities.

Companies may now more easily exploit sophisticated analytics capabilities like predictive analytics and more efficient surface actionable insights from their huge amounts of data due to the convergence of big data and AI. Firms can equip their users with easy-to-use tools and the reliable technologies they need to extract high-value insights from data using AI-powered analytics. This will boost data literacy across the organization and create a truly data-driven company.

Market Forecasts

Key Topics Covered

Chapter 1 Foreword

Chapter 2 Video Analytics: Global Markets (IFT223A)

Chapter 3 Text Analytics: Global Markets (IFT221A)

Chapter 4 Marketing Analytics (IFT230A)

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