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
AI Data Management Market
-
CAGR (2023 - 2031)
22.3%
-
Market Size 2023
US$ 23.03 Billion
-
Market Size 2031
US$ 114.99 Billion
Market Dynamics
GROWTH DRIVERS
- Advancements in AI and ML-Based Data Management Software
- Surge in Partnerships and Acquisitions Among Key Market Players
- Expansion of BFSI Industry and Rise in Financial Transactions
FUTURE TRENDS
- Real-time Data Processing
OPPORTUNITIES
- Rising Adoption of Personalized and Adaptive Systems among Consumers, Growing Investment in AI Technology
Key Players
- 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
- Snowflake Inc
Regional Overview
- North America
- Asia Pacific
- Europe
- Middle East and Africa
- South and Central America
Market Segmentation
Offering
- Solution and Service
Deployment
- On-premise and Cloud
Technology
- Machine Learning
- Natural Language Processing
Industry Vertical
- BFSI
- Retail and E-Commerce
- IT and Telecom
- Healthcare
- Government
- Others
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
Customize Research To Suit Your Requirement
We can optimize and tailor the analysis and scope which is unmet through our standard offerings. This flexibility will help you gain the exact information needed for your business planning and decision making.
AI Data Management Market: Strategic Insights
-
CAGR (2023 - 2031)22.3% -
Market Size 2023
US$ 23.03 Billion -
Market Size 2031
US$ 114.99 Billion
Market Dynamics
- Advancements in AI and ML-Based Data Management Software
- Surge in Partnerships and Acquisitions Among Key Market Players
- Expansion of BFSI Industry and Rise in Financial Transactions
- Real-time Data Processing
- Rising Adoption of Personalized and Adaptive Systems among Consumers, Growing Investment in AI Technology
Key Players
- 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
- Snowflake Inc
Regional Overview
- North America
- Asia Pacific
- Europe
- Middle East and Africa
- South and Central America
Market Segmentation
Offering - Solution and Service
Deployment - On-premise and Cloud
Technology - Machine Learning
- Natural Language Processing
Industry Vertical - BFSI
- Retail and E-Commerce
- IT and Telecom
- Healthcare
- Government
- Others
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
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 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
AI Data Management Market Report Scope
| Report Attribute | Details |
|---|---|
| Market size in 2023 | US$ 23.03 Billion |
| Market Size by 2031 | US$ 114.99 Billion |
| Global CAGR (2023 - 2031) | 22.3% |
| Historical Data | 2021-2022 |
| Forecast period | 2024-2031 |
| Segments Covered |
By Offering
|
| Regions and Countries Covered |
North America
|
| Market leaders and key company profiles |
|
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Offering, Deployment, Technology, and Industry Vertical
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
BFSI segment is expected to hold a major market share of AI data management market in 2023.
The global market size of AI data management market by 2031 will be around US$ US$ 114,986.49 million.
Japan, China, and India expected to register high growth rate during the forecast period.
The US is expected to hold a major market share of AI data management market in 2023.
Real-time Data Processing are anticipated to play a significant role in the AI data management market in the coming years.
Asia Pacific is expected to register highest CAGR in the AI data management market during the forecast period (2024-2031)
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 the key market players expected to hold a major market share of AI data management market in 2023.
The estimated global market size for the AI data management market in 2023 is expected to be around US$ 23,030.62 million.
The AI data management market is expected to register an incremental growth value of US$ 91,956.49 million during the forecast period.
The List of Companies - AI Data Management Market
- Microsoft Corp
- Alphabet Inc
- Oracle Corp
- International Business Machines Corp
- Salesforce Inc
- SAP SE
- Hewlett Packard Enterprise Co
- SAS Institute Inc
- Snowflake Inc
- Amazon.com Inc
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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