AI Data Management Market Size, Share, and Analysis by 2031

The AI Data Management Market size is projected to reach US$ 114.99 billion by 2031 from US$ 23.03 billion in 2023. The market is expected to register a CAGR of 22.3% in 2023–2031. Evolution of Industry 4.0 are likely to remain key AI data management market trends.

AI Data Management Market Analysis

The report includes growth prospects considering current AI data management market trends and driving factors influencing the market growth. The rising adoption of advanced technologies such as AI, ML, NLP, deep learning, and cloud is facilitating the expansion of the AI data management market share. Increasing investment in AI technologies and the expansion of the BFSI and e-commerce industries are also expected to boost the AI data management market growth during the forecast period. Advancements in AI and ML for the adoption of transformative data management solutions are propelling the market. Moreover, the rising adoption of personalized and adaptive systems among consumers across the globe is likely to open growth opportunities for the AI data management market growth.

AI Data Management Market Overview

AI data management is strategically and methodically using AI technology to manage a business’s data assets. AI data management software encompasses all guidelines, procedures, and technical methods employed to collect, organize, utilize, and store data efficiently. The technology is used to enhance data quality, analysis, and decision-making, which increases its demand among businesses and drives the global AI data management market.

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AI Data Management Market: Strategic Insights

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AI Data Management Market Drivers and Opportunities

Advancements in AI and ML-Based Data Management Software Fuels AI Data Management Market Growth

An ongoing evolution of AI and ML technologies increases the demand among consumers to manage their organizational data effectively. The sophisticated capabilities of AI provide businesses with power tools to generate detailed insights from collected data. The integration of AI and ML into data management procedures is perceived as a revolutionary factor in managing and addressing complexities associated with data analysis, handling, and decision-making. In May 2023, International Business Machines Corp introduced the Watsonx Platform, which helps businesses manage and fully control their data. Watsonx Platform is integrated with ML algorithms that allow organizations to collect and clean data. Al and ML algorithms help automate and optimize data management operations. These technologies are used to optimize large datasets at a faster speed beyond human capacity, which improves productivity for data management tasks such as data integration, categorization, and cleansing. Al-powered automated data management helps businesses significantly minimize the chance of error, reducing the workload associated with manual processes and ensuring the reliability and accuracy of data-driven insights. Thus, advancements in AI and ML-based data management software drive the market.

AI Data Management Market Report Segmentation Analysis

Key segments that contributed to the derivation of the AI data management market analysis are offering, deployment, technology, and industry verticals.

• Based on technology, the AI data management market is divided into machine learning, natural language processing (NLP), computer vision, and context awareness computing. The context awareness computing segment held a larger market share in 2023.
• The context awareness computing segment is anticipated to record the highest CAGR during the forecast period due to high adoption from consumers across the globe.
• Context awareness technology refers to systems that dynamically modify their behavior in response to situational context. This allows users to generate more relevant and nuanced decision-making. Context awareness computing uses algorithms for interpreting and modifying data reactions based on a variety of contextual inputs, such as time, place, user behavior, and environmental data. Context awareness computing considers the importance of data within contexts for improving analysis and decision-making, which, in turn, improves data use and interpretation.
• However, context awareness computing is highly demanded by a wide range of industries by utilizing contextual data to improve data management procedures and results, which is projected to fuel the market growth during the forecast period.

AI Data Management Market Share Analysis by Geography

The geographic scope of the AI data management Market report is mainly divided into five regions: North America, Asia Pacific, Europe, Middle East & Africa, and South America/South & Central America.

The Europe AI data management market is segmented into Germany, France, Italy, the UK, Russia, and the Rest of Europe. The market in Germany is anticipated to expand during the forecast period due to the growing digitalization and increasing demand for advanced technologies such as AL, ML, deep learning, and NLP. For instance, according to the ifo Institute, in August 2023, 13.3% of companies in Germany have deployed AI technology in their business, and 9.2% are planning to use it in their business to streamline the data management process. The AI-based system supports companies to process large amounts of data and make quick decisions through automated data analysis. These factors are anticipated to generate lucrative opportunities for the AI data management market growth in Europe during the forecast period.

AI Data Management Market News and Recent Developments

The AI data management market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. The following is a list of developments in the market for AI data management and strategies:

• In November 2023, Amazon Web Services Inc introduced a screening of an innovative Generative Al-based feature within Amazon DataZone. The capability of Generative Al helps to enhance data discovery, utilization, and comprehension by improving the business data catalog.
• In November 2023, Databricks Inc acquired Arcion to offer native solutions. Databricks Inc uses Arcion’s real-time data replication technologies that facilitate the ingestion and seamless replication of data from diverse databases and SaaS applications.
• In September 2023, Oracle Corp launched the Fusion Data Intelligence Platform to assist customers using Oracle Fusion Cloud Applications. The platform represents cutting-edge data, Al platform, and analytics that help users merge data-centric insights with intelligent decision-making to achieve superior business.
• In May 2023, Microsoft Corp introduced Microsoft Fabric to support organizations in streamlining data and analytics tools. Microsoft Fabric helps organizations integrate numerous solutions with technologies such as Power BI, Azure Synapse Analytics, and Azure Data Factory to form a unified product. Microsoft Fabric empowers data and business experts to fully utilize their data by using AI and streamlines workflows linked to data.
• In May 2023, QlikTech International AB acquired Talend to broaden its capabilities for managing, processing, analyzing, and acting upon data for modern enterprises. The collaboration between QlikTech International AB and Talend strengthens numerous areas, such as application connectivity, data transformation, API services, and quality assurance.

AI Data Management Market Regional Insights

The regional trends and factors influencing the AI Data Management Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses AI Data Management Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.

AI Data Management Market Report Scope

AI Data Management Market Players Density: Understanding Its Impact on Business Dynamics

The AI Data Management Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.

Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.

Major Companies operating in the AI Data Management Market are:

1. Microsoft Corp
2. Amazon Web Services Inc
3. Alphabet Inc
4. Oracle Corp
5. International Business Machines Corp
6. Salesforce Inc

Disclaimer: The companies listed above are not ranked in any particular order.

AI Data Management Market Report Coverage and Deliverables

The “AI Data Management Market Size and Forecast (2021–2031)” report provides a detailed analysis of the market covering below areas:

• Market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
• Market dynamics such as drivers, restraints, and key opportunities
• Key future trends
• Detailed PEST/Porter’s Five Forces and SWOT analysis
• Global and regional market analysis covering key market trends, major players, regulations, and recent market developments
• Industry landscape and competition analysis covering market concentration, heat map analysis, prominent players, and recent developments
• Detailed company profiles