AI Data Management Market Size, Share, Global Analysis Report, 2024-2032
AI Data Management Market Size, Share, Global Analysis Report, 2024-2032

AI Data Management Market Share, Size, Trends, Industry Analysis Report, By Offering (Type And Deployment Mode); By Data Type; By Technology; By Application; By vertical; By Region; Segment Forecast, 2024- 2032

  • Published Date:Jan-2024
  • Pages: 115
  • Format: PDF
  • Report ID: PM4392
  • Base Year: 2023
  • Historical Data: 2019 – 2022

Report Outlook

AI Data Management Market size was valued at USD 26.32 billion in 2023. The market is anticipated to grow from USD 32.63 billion in 2024 to USD 185.35 billion by 2032, exhibiting the CAGR of 24.2% during the forecast period

Overview

Data handling and organization procedures and approaches used for artificial intelligence (AI) applications are referred to as AI data management. It includes every stage of the data lifecycle, including gathering, storing, processing, analyzing, and finally discarding data. AI systems need high-quality, pertinent data to generate precise and significant results, which means effective AI data management is essential. Gathering relevant and diverse datasets is a critical step. This may involve collecting data from various sources, such as sensors, databases, APIs, or other data repositories.

The sheer amount of data being produced worldwide is increasing at a rate never seen before. AI systems can access enormous amounts of data, growing digitization of processes, the Internet of Things (IoT), and the growth of online activities. Data used in AI applications comes in various formats, including structured, unstructured, and semi-structured data. Managing this diverse range of data types requires sophisticated data management solutions to extract meaningful insights. These anticipates the AI data management market growth during the forecast period.

Moreover, AI technologies evolve, the demand for high-quality training data increases. More sophisticated AI algorithms, such as deep learning models, often require large and diverse datasets for effective training, driving the need for robust data management practices. Many organizations are leveraging cloud computing services to store and process their data. Cloud-based data management solutions provide scalability, flexibility, and cost-effectiveness, contributing to the AI data management industry growth.

AI Data Management Market Size

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Artificial Intelligence has emerged as a major disruptive force in the coming digital era. Artificial intelligence (AI) is gaining market capitalization due to the substantial investments made by tech giants such as Amazon.com, Inc.; Google LLC; Apple Inc.; Facebook; International Business Machines Corporation; and Microsoft in AI research and development. These businesses are attempting to increase enterprise use case accessibility to AI. Additionally, a number of businesses use AI technology to enhance customer service and expand their market share in the artificial intelligence sector 4.0.

  • For instance, In march 2020 McDonald's invested USD 300 million, its largest tech sum to date, to buy an AI start-up in Tel Aviv that would use artificial intelligence to offer a customized customer experience.

Key Takeaways

  • North America dominated the largest market and contributed to more than 35% of share in 2023
  • Asia Pacific dominated the fastest market and contributed to more than 16% of share in 2023
  • By technology category, Machine learning segment accounted for the largest market share in 2023
  • By Vertical category, the government and defence segment is projected to grow at a high CAGR during the projected period

What are the market drivers increasing the AI Data Management Market Share?

Increasing Global Connectivity Will Facilitate Market Growth

With the global nature of business and technology, organizations often need to manage and integrate data from various geographical locations. This requires effective data management strategies to ensure seamless collaboration and access to relevant data. Organizations are increasingly recognizing the importance of data governance and ethical considerations in AI. Establishing responsible data management practices ensures transparency, accountability, and ethical use of data in AI applications.

Many organizations are leveraging cloud computing services to store and process their data. Cloud-based data management solutions provide scalability, flexibility, and cost-effectiveness, contributing to the growth of AI data management. This can be the major factor for the increasing market share and market revenue thereby.

However, the adoption of artificial intelligence technology is being driven by the growing need for automation and optimization in a variety of industries, including manufacturing, transportation, and others.

Which factor is restraining the AI Data Management Market Growth?

Data Privacy Concern is likely to impede the market growth.

Growing concerns about data privacy and security present a significant challenge. Organizations must comply with stringent regulations, such as GDPR and CCPA, which can restrict the ways in which they collect, process, and store data for AI applications. Implementing robust AI data management systems, including storage infrastructure, security measures, and data governance protocols, can be expensive. Small and medium-sized enterprises (SMEs) may find it challenging to allocate resources for such investments.

Report Segmentation

The market is primarily segmented based on type, process and region.

By Offering

By Data Type

By Technology

 

By Application

 

By Vertical

By Region

  • By Type
    • Platform
    • Software tools
    • services
  • By deployment mode
    • Cloud
    • On premises
  • Audio
  • Speech and voice
  • Image
  • Text
  • Video

 

  • Machine learning
    • Deep learning
  • Context awareness
  • Natural language processing
  • Computer vision
  • Context vision

 

  • Data augmentation
  • Exploratory data analysis
  • Imputation predictive modelling
  • Process automation
  • Other application
  • BFSI
  • Retail and e commerce
  • Government and defence
  • Healthcare and life science
  • Manufacturing
  • others
  • North America (U.S., Canada)
  • Europe (France, Germany, UK, Italy, Netherlands, Spain, Russia)
  • Asia Pacific (Japan, China, India, Malaysia, Indonesia, South Korea)
  • Latin America (Brazil, Mexico, Argentina)
  • Middle East & Africa (Saudi Arabia, UAE, Israel, South Africa)

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Category Wise Insights

 By Technology Insights

Based on Technology analysis, the market is segmented on the basis of Machine learning, context awareness, natural awareness processing, computer vision, and context vision. In 2023, Growth in revenue is being driven by the growing demand for AI data management. In recent years, machine learning has indeed been a significant driver of growth in the AI data management sector. The integration of machine learning algorithms with data management systems has been crucial for extracting valuable insights from large datasets . Machine learning algorithms can automate decision-making processes by learning from patterns in data. This is applicable in various industries, from finance to healthcare, where data-driven decisions are critical.  In sectors like marketing and e-commerce, machine learning helps in creating personalized experiences for users by analyzing their preferences and behaviors. This involves managing and processing large amounts of customer data.

 By Vertical Insights

Based on vertical analysis, the market is segmented on the basis of BFSI, retail and commerce, government and defense, healthcare and life science, manufacturing and others. AI applications in defense can enhance national security by enabling advanced threat detection, intelligence analysis, and cyber security measures. Efficient data management is critical for handling and processing vast amounts of sensitive information. In Surveillance and Reconnaissance, AI-driven technologies, including machine learning and computer vision, are used for surveillance and reconnaissance purposes.

However, managing the data generated from these activities requires robust data storage and processing capabilities. AI is employed in cyber security for detecting and mitigating threats. Data management is crucial for handling large volumes of network traffic and log data to identify potential security breaches. For defense and government applications, geospatial intelligence is vital. AI can analyze geospatial data to provide insights into terrain, infrastructure, and potential threats. Hence the market share is anticipated to grow during the forecast period.

Regional Insights

North America

North America dominated the largest market in 2023. North America, particularly the United States, has been a global hub for technological innovation. The region is home to many leading tech companies, startups, and research institutions that drive advancements in AI and data management. North American businesses and organizations have been early adopters of AI technologies, recognizing their potential for improving efficiency, decision-making, and competitiveness. North America is home to numerous large enterprises across various industries. These enterprises often have the resources and infrastructure to adopt and implement advanced AI data management solutions. Hence North America contributes the largest market share of AI data management in 2023 and expected to grow in the upcoming years.

Asia Pacific

Asia pacific anticipates the fastest market share to grow during the forecast period. Many countries in the Asia-Pacific region are undergoing rapid digital transformation across various industries. This transformation involves the adoption of AI and data management solutions to improve efficiency, competitiveness, and innovation. Cities such as Beijing, Shanghai, Bangalore, Singapore, and others in the Asia-Pacific region have emerged as prominent tech hubs. These hubs attract talent, startups, and investments, fostering innovation and the development of AI technologies. Governments in the Asia-Pacific region are increasingly recognizing the strategic importance of AI for economic growth and competitiveness. Many countries are rolling out initiatives and policies to support the development and adoption of AI technologies, including data management. As a result, growth in the market share is anticipated during the forecast period.

Competitive Landscape

The market is characterized by intense competition, with established players relying on advanced technology, high-quality products, and a strong brand image to drive revenue growth. These companies employ various strategies such as research and development, mergers and acquisitions, and technological innovations to expand their services portfolios and maintain a competitive edge in the market.

Some of the major players operating in the global market include:

  • Microsoft
  • AWS
  •  IBM
  •  Google
  • Oracle
  • Salesforce
  •  SAP
  •  SAS Institute
  •  HPE
  •  Snowflake
  •  Teradata
  •  Informatica
  •  Databricks
  •  TIBCO Software

Recent Developments

  • In November 2023, Databricks purchased Arcion, a well-known supplier of real-time data replication technologies. Databricks intends to provide native solutions that enable the smooth replication and ingestion of data from various databases and SaaS applications by integrating Arcion's capabilities.
  • In May 2023, Microsoft Fabric, an analytics platform created to simplify data and analytics tools for businesses, was introduced by Microsoft. Azure Data Factory, Azure Synapse Analytics, and Power BI are just a few of the technologies that are combined into one cohesive product by this integrated solution. By enabling data and business professionals to fully utilize their data, Fabric ushers in the AI era and streamlines workflows related to data.

Report Coverage

The AI Data Management market report emphasizes on key regions across the globe to provide better understanding of the product to the users. Also, the report provides market insights into recent developments, trends and analyzes the technologies that are gaining traction around the globe. Furthermore, the report covers in-depth qualitative analysis pertaining to various paradigm shifts associated with the transformation of these solutions.

The report provides detailed analysis of the AI data management market size while focusing on various key aspects such as competitive Offering, data type, technology, application, vertical and their futuristic growth opportunities.

AI Data Management Market Report Scope

Report Attributes

Details

Market size value in 2024

USD 32.63 billion

Revenue forecast in 2032

USD 185.35 billion

CAGR

24.2% from 2024 – 2032

Base year

2023

Historical data

2019 – 2022

Forecast period

2024– 2032

Quantitative units

Revenue in USD billion and CAGR from 2024 to 2032

Segments Covered

By Offering, By Data Type, By Technology, By Application, By Vertical,  By Region

Regional scope

North America, Europe, Asia Pacific, Latin America; Middle East & Africa

Customization

Report customization as per your requirements with respect to countries, region and segmentation.

Explore the 2024 market share, size, and revenue growth rate statistics in the field of AI Data Management Market, meticulously compiled by Polaris Market Research Industry Reports. This comprehensive analysis encompasses a market forecast outlook extending to 2032, along with an insightful historical overview. Experience the depth of this industry analysis by obtaining a complimentary PDF download of the sample report.

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FAQ's

key companies in AI Data Management Market are Microsoft , AWS , IBM , Google, Oracle, Salesforce, SAP, SAS Institute

AI Data Management Market exhibiting the CAGR of 24.2% during the forecast period

The AI Data Management Market report covering key segments are type, Application, Data Type, Technology, Vertical, region.

key driving factors in AI Data Management Market are Increasing Global Connectivity Will Facilitate Market Growth

The global AI Data Management Market size is expected to reach USD 185.35 billion by 2032