The AI data management market is expected to grow from USD 25.1 billion in 2023 to USD 70.2 billion in 2028, at a CAGR of 22.8% during the forecast period. The AI data management market is driven by various factors, such as the AI-powered data fabric solutions and automated integration fueling the market expansion, the evolution in cloud technology and the rapid advancements in AI and ML to propel the adoption of transformative data management solutions.
Major AI Data Management Companies Include
To know about the assumptions considered for the study download the pdf brochure
IBM (US):
IBM offers a comprehensive suite of solutions and services that leverage artificial intelligence and advanced analytics. With offerings like IBM Cloud Pak for Data, the company provides a modular and integrated platform for data analysis, organization, and management. IBM's expertise extends to master data management, where solutions like IBM InfoSphere Master Data Management empower organizations to maintain a unified and accurate view of critical data entities. The company's commitment to AI-driven data management is further exemplified by products such as IBM Knowledge Catalog, which facilitates intelligent, self-service discovery of data and models. IBM's strategic initiatives, such as acquisitions and collaborations, underscore its dedication to staying at the forefront of the rapidly evolving AI data management landscape. As organizations increasingly recognize the importance of harnessing the power of data, IBM continues to play a pivotal role in providing innovative solutions to address the complex challenges of data governance, quality, and analytics in the AI era.
Oracle (US):
Oracle is a cloud technology company that provides organizations around the world with computing infrastructure and software to help innovate, tap efficiencies and become more effective. With a strong foundation in database management systems and enterprise software, Oracle has strategically integrated AI capabilities into its offerings to help businesses unlock the potential of advanced analytics and NLP. The company has created the world’s first and only autonomous database to help secure and organize customers’ data. Oracle's cloud infrastructure (OCI) provides AI-powered services and tools for data science, image recognition, chatbots, and language translation. OCI offers higher security, performance, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud and between on-premises and cloud and other clouds. Oracle Cloud applications provide business leaders with modern applications that help innovate, attain sustainable growth, and become more resilient. With a focus on empowering businesses with advanced analytics, automation, and intelligent decision-making, Oracle aims to leverage its extensive software portfolio and AI technologies to drive innovation and provide value across industries in the market.
Informatica (US)
Informatica, an Enterprise Cloud Data Management leader, focuses on unlocking the potential of vital assets through data and AI. Pioneering a novel software category, the Informatica Intelligent Data Management Cloud (IDMC), the company offers an end-to-end data management platform fueled by CLAIRE AI. This platform seamlessly connects, orchestrates, and harmonizes data across diverse multi-cloud or hybrid systems. Informatica democratizes access to data, empowering enterprises to revamp and propel their business strategies. With a global presence spanning over 100 countries, Informatica caters to a diverse clientele, including 85 of the Fortune 100 companies. This widespread trust signifies the company's pivotal role in driving data-centric digital transformations for some of the world's leading organizations. Informatica's product offerings encompass a comprehensive suite of data management solutions within the Intelligent Data Management Cloud. The platform facilitates data integration, governance, and analytics, underpinned by AI-driven insights.
Microsoft (US):
Founded by Bill Gates and Paul Allen in 1975, Microsoft is a multinational technology corporation based in Redmond, Washington, USA. It is best known for its software products such as the Windows operating system, Microsoft Office suite, and Azure cloud computing platform. Microsoft's diverse portfolio includes hardware (such as Xbox gaming consoles and Surface tablets), enterprise services, and professional certifications. With a focus on cloud computing and artificial intelligence, Microsoft has become one of the world's largest technology companies.
Amazon Web Services (AWS) (US):
AWS is a subsidiary of Amazon.com, Inc., founded in 2006. It provides on-demand cloud computing platforms and APIs to individuals, companies, and governments on a metered pay-as-you-go basis. AWS offers a wide range of cloud services, including computing power, storage, databases, machine learning, analytics, and more. It has a significant market share in the cloud services industry and is widely regarded as a pioneer and leader in cloud computing.
Salesforce (US):
Salesforce is a cloud-based software company headquartered in San Francisco, California, USA. Founded in 1999 by Marc Benioff and Parker Harris, Salesforce is best known for its customer relationship management (CRM) platform. The company provides a suite of enterprise applications focused on customer service, marketing automation, analytics, and application development. Salesforce has a strong emphasis on cloud computing and has expanded its offerings through acquisitions, including Tableau (analytics) and MuleSoft (integration).
SAP (Germany):
SAP SE is a multinational software corporation based in Walldorf, Germany. Founded in 1972 by five former IBM engineers, SAP is known for its enterprise resource planning (ERP) software and related enterprise applications. SAP's software helps businesses manage various aspects of their operations, including finance, logistics, human resources, and manufacturing. The company has evolved to offer a wide range of products and services, including cloud-based solutions and analytics tools.
Related Reports:
AI Data Management Market by Software (Social Media Marketing, Social Listening, Social Media Intelligence), Analytics Type (Predictive, Prescriptive), Business Function (Marketing (Trend Analysis, Forecasting), Sales) - Global Forecast to 2028
This FREE sample includes market data points, ranging from trend analyses to market estimates & forecasts. See for yourself.
SEND ME A FREE SAMPLE