Rapid advancements in artificial intelligence and machine learning are expected to drive market expansion shortly at a CAGR of 23.0% during the forecast period 2024 to 2032.

Market Research Future (MRFR) has published a cooked research report on the “Global AI Data Management Market” that contains information from 2019 to 2032. The AI data management market is estimated to register a CAGR of 23.00% during the forecast period of 2024 to 2032.

MRFR recognizes the following companies as the key players in the global AI data management market - Microsoft, Salesforce, AWS, IBM, Google, Oracle, Informatica, SAP, SAS Institute, HPE, Databricks, Snowflake, Teradata, and TIBCO Software. 

Market Highlights

The global AI data management market is accounted to register a CAGR of 23.00% during the forecast period and is estimated to reach USD 136.7 billion by 2032.

The sheer volume of data generated globally is rising at a rate never before witnessed. Large volumes of data, the increasing digitization of processes, the Internet of Things (IoT), and the expansion of online activities are all accessible to AI systems. Structured, unstructured, and semi-structured data are among the forms of data used in AI applications. To extract valuable insights, managing this wide range of data types calls for advanced data management systems. During the forecast period, they predict growth in the AI data management market.

Segment Analysis

The global AI data management market has been segmented into offering, data type, technology, application, and vertical.

On the basis of offering, the market is segmented into Туре (Platform, Software Tools, Services) and Deployment Mode (Cloud, On-premises). The deployment mode segment was attributed to holding the largest market share in 2023. When using the on-premise deployment approach, organizations may directly manage their data and infrastructure. Companies that handle sensitive or regulated data that must be kept on-site for legal reasons should be especially mindful of this level of security. On-premise solutions allow organizations to tailor and adjust these systems to their own needs. This will be especially helpful to businesses with intricate workflows or special data processing needs.

Based on data type, the global AI data management market has been segmented into Audio, Speech and Voice, Image, Text, and Video. The speech and voice segment was expected to hold the largest market share in 2023. This is a significant tool used by speech distinction systems to convert spoken language into text. Virtual assistants, voice-activated devices, transcription services, and other applications use this technology. AI-driven voice search systems understand spoken queries and return pertinent results by using natural language processing.

Based on technology, the global AI data management market has been segmented into Machine Learning, Computer Vision, Natural Language Processing, and Context Awareness. The context awareness segment was expected to hold the largest market share in 2023. By looking at user behavior, preferences, and previous interactions with the content, context-aware AI systems are able to understand the context in which users are accessing or editing information. Systems that are aware of context are able to adapt data processing methods dynamically to the particular context of the input.

Based on application, the global AI data management market has been segmented into Data Augmentation, Data Anonymization & Compression, Exploratory Data Analysis, Imputation Predictive Modeling, Data validation & Noise Reduction, Process Automation, and Other Applications. The data augmentation segment was expected to hold the largest market share in 2023. These strategies make data enrichment possible by adding additional features or data points to existing datasets. Machine learning models that have been trained with enriched data may see significant increases in their resilience and prediction power through the augmentation process. It is also simpler to evaluate a variety of datasets in EDA applications thanks to these tools' ability to incorporate data from many formats and sources.

Based on vertical, the global AI data management market has been segmented into BFSI, Retail & eCommerce, Government & Defense, Healthcare & Life Sciences, Manufacturing, Energy & Utilities, Telecommunications, Media & Entertainment, IT & ITeS, and Other Verticals. The retail & eCommerce segment was expected to hold the largest market share in 2023. Artificial Intelligence evaluates user information, such as surfing habits, purchase history, and preferences, to provide tailored product recommendations. This improves the shopping encounter, raises client satisfaction, and promotes return business. Artificial Intelligence (AI) examines user behavior and transaction data to identify and stop fraud, including account takeovers and unlawful transactions.

Regional Analysis

The global AI data management market, based on region, has been divided into North America, Europe, Asia-Pacific, and Rest of the World. North America consists of the US and Canada. The Europe AI data management market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The AI data management market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World AI data management market comprises the Middle East, Africa, and Latin America.

The largest market share for AI data management was maintained by the North American regional sector. Numerous cutting-edge businesses, tech companies, and research institutes that propel developments in AI and data management call the region home. Businesses and organizations in North America were among the first to use AI technology because they saw how they could boost productivity, decision-making, and competitiveness. Large corporations in a wide range of industries are based in North America. These businesses frequently possess the infrastructure and resources necessary to accept and use cutting-edge AI data management solutions.

Moreover, the Europe market has been persistently growing over the forecast period due to the developing trend of digitalization as well as the growing need for cutting-edge technologies like deep learning, ML, AL, and NLP. Furthermore, the Al-based system facilitates enterprises' ability to efficiently process vast amounts of data and make decisions by means of automated data analysis. These factors are anticipated to generate favorable opportunities for the growth of the Al data management market in Europe over the forecast period.

Additionally, Asia Pacific is anticipated to experience the quickest growth over the forecast period. Rapid digital transformation is occurring in many Asia-Pacific nations across a variety of industries. The adoption of AI and data management tools is part of this shift, which aims to increase productivity, innovation, and competitiveness. Additionally, governments around the Asia-Pacific area are realizing more and more how strategically important AI is to their economies and ability to compete. A lot of nations are launching programs and regulations to encourage the creation and uptake of AI technologies, including data management. Consequently, it is projected that the market share will increase throughout the projection period.

Furthermore, the rest of the world's AI data management market is divided into the Middle East, Africa, and Latin America. The need for effective data handling and analysis, the proliferation of big data, and the growing acceptance of AI technologies across industries are all driving growth in the rest of the world's AI data management market. Major players in the area are providing solutions for analytics, governance, storage, and data integration to assist enterprises in utilizing AI.

Key Findings of the Study

• The global AI data management market is expected to reach USD 136.7 billion by 2032, at a CAGR of 23.00% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market. Numerous Asia-Pacific countries are seeing a swift digital revolution in a range of sectors. This change is driven by the need to boost competitiveness, productivity, and creativity. AI and data management solutions are part of this movement.


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  Based on application, the data augmentation segment was attributed to holding the largest market in 2023.
  


• Microsoft, Salesforce, AWS, IBM, Google, Oracle, Informatica, SAP, SAS Institute, HPE, Databricks, Snowflake, Teradata, and TIBCO Software are the key market players.