AI Data Management Market Size and Forecast (2021 - 2031), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Offering (Solution and Service), Deployment (On-premise and Cloud), Technology [Machine Learning, Natural Lang

AI Data Management Market Size and Forecast (2021 - 2031), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Offering (Solution and Service), Deployment (On-premise and Cloud), Technology [Machine Learning, Natural Language Processing (NLP), Computer Vision, and Context Awareness Computing], and Industry Vertical (BFSI, Retail & E-commerce, IT & Telecom, Healthcare, Government & Utilities, and Others), and Geography

The AI data management market size was valued at US$ 23.03 billion in 2023 and is expected to reach US$ 114.99 billion by 2031; it is estimated to record a CAGR of 22.3% from 2023 to 2031.

The “AI data management market analysis” has been carried out by considering the following segments: offering, deployment, technology, and industry verticals. Based on industry vertical, AI data management is divided into BFSI, retail & e-commerce, IT & telecom, government & utilities, healthcare, and others. The BFSI segment is anticipated to register the highest CAGR in the coming years. The growing number of financial transactions across the globe is driving the segment. BFSIs use AI data management solutions to improve client experiences, expedite processes, reduce risks, and stimulate strategic decision-making. Computers analyze large-scale databases to identify fraudulent activity, improve investment strategies, and automate repetitive processes. BFSI uses AI data management solutions for predictive analytics to handle and manage numerous repetitive tasks such as loan approvals, processing insurance claims, and customizing consumer services. Furthermore, AI data management software is used for guaranteeing data confidentiality, privacy, and correctness and navigating complex regulatory frameworks such as Anti-Money Laundering (AML) and Know Your Customer (KYC), which help organizations comply with strict rules. Additionally, the BFSI industry heavily relies on AI data management to promote innovation, enhance operational effectiveness, and preserve competitiveness in digitalization and a data-centric economy, are anticipated to boost the AI data management market trend during the forecast period.

The AI data management market share in North America is projected to expand at a notable CAGR during the forecast period due to the growing demand for AI-based solutions and services among consumers. Shifting retailers’ preference toward the adoption of online channels to attract more consumers worldwide is boosting the market in the region. Moreover, increasing government initiatives toward the adoption of AI technologies are expected to create opportunities for the market growth during the forecast period. For instance, in October 2023, Joe Biden signed an Executive Order to advance the safe and responsible use of AI. These initiatives support companies in managing data privacy, transparency, and accountability of their customer's data, boosting the demand for AI data management solutions and services. However, the high adoption of advanced technologies, such as AI, ML, deep learning, and NLP, drives the adoption of AI data management solutions in North America.

The AI data management market analysis is carried out by identifying and evaluating key players in the market across different regions. Microsoft Corp, Amazon Web Services Inc, Alphabet Inc, Oracle Corp, International Business Machines Corp, Salesforce Inc, SAP SE, Hewlett Packard Enterprise Development LP, SAS Institute Inc, and Snowflake Inc, are among the key AI data management market players profiled in this market study. The AI data management market forecast can help stakeholders in this marketplace plan their growth strategies. Several other AI data management market players were also analyzed for a holistic view of the market and its ecosystem.

The overall AI data management market size has been derived using both primary and secondary sources. To begin the AI data management market research process, exhaustive secondary research has been conducted using internal and external sources to obtain qualitative and quantitative information related to the AI data management market. The process also serves the purpose of obtaining an overview and market forecast of the AI data management market growth with respect to all market segments. Also, multiple primary interviews have been conducted with industry participants and commentators to validate the data and gain more analytical insights about the topic. Participants of this process include industry experts such as VPs, business development managers, market intelligence managers, and national sales managers—along with external consultants such as valuation experts, research analysts, and key opinion leaders—specializing in the AI data management market.

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Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global AI data management market.
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The key findings and recommendations highlight crucial progressive industry trends in the global AI data management market, thereby allowing players across the value chain to develop effective long-term strategies
Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it
Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution

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