Automated Data Platform Market Report 2024

This Automated Data Platform market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The automated data platform market size has grown exponentially in recent years. It will grow from $1.62 billion in 2023 to $1.99 billion in 2024 at a compound annual growth rate (CAGR) of 22.6%. The growth during the historic period can be attributed to the increasing need for data democratization, the exponential rise in data generated by businesses, stricter data governance and compliance regulations, an increase in security threats and data breaches, and heightened investment in data infrastructure.

The automated data platform market size is expected to see exponential growth in the next few years. It will grow to $4.51 billion in 2028 at a compound annual growth rate (CAGR) of 22.7%. The growth during the forecast period can be attributed to the demand for cost-effective data management solutions, the necessity to maintain high data quality and accuracy, the expansion of e-commerce and online services, the rising focus on personalization, and the enhancement of customer experience. Key trends in the forecast period include the adoption of predictive modeling techniques, the shift to remote work with increased use of collaboration tools, the adoption of customer data platforms, edge computing, and hybrid and multi-cloud strategies.

The increasing concerns about data breaches are expected to drive the growth of the automated data platform market. A data breach occurs when unauthorized individuals access, disclose, or steal sensitive, confidential, or protected information. Such breaches can result from weak security protocols, human error, phishing attacks, or software vulnerabilities that allow unauthorized access. Automated data platforms help mitigate these risks by continuously monitoring and analyzing data access patterns, detecting anomalies, and enforcing security measures in real time. These platforms automate threat detection and response, reducing the likelihood of unauthorized access. For example, in October 2023, the 2023 Data Breach Report from the Identity Theft Resource Center, a US-based non-profit organization, revealed that there were 2,116 data breaches in the first three quarters of 2023, surpassing the previous record of 1,862 breaches set in 2021. Thus, the rising concerns about data breaches are fueling the growth of the automated data platform market.

Leading companies in the automated data platform market are focused on creating advanced solutions, such as hyper-scale real-time data platforms, to improve data processing capabilities. Hyper-scale real-time data platforms are extensive systems designed to handle, analyze, and manage large volumes of real-time data, allowing organizations to make immediate, data-driven decisions. For example, in September 2022, Salesforce Inc., a US-based software company, introduced Salesforce Genie, a real-time data platform that supports Salesforce Customer 360. This platform enables businesses to offer personalized, dynamic customer experiences by consolidating and harmonizing data from multiple sources into a single, real-time customer profile. It integrates smoothly with Salesforce's AI and automation tools, helping businesses address customer needs promptly and at scale.

In December 2022, Tecnotree Corporation, a Finland-based software company, acquired CognitiveScale for an undisclosed sum. This acquisition is intended to enhance Tecnotree's global capabilities in 5G monetization and customer experience by incorporating CognitiveScale's AI expertise, thereby expanding telecom use cases. Additionally, it enables CognitiveScale to enter the telecommunications sector, unlocking new vertical monetization opportunities. CognitiveScale is a US-based software development firm specializing in AI-driven data engineering platforms for business processes and applications.

Major companies operating in the automated data platform market are Google LLC, Microsoft Corporation, Dell Technologies Inc., Huawei Technologies Co. Ltd., Amazon Web Services (AWS) Inc., Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Qualcomm Incorporated, Oracle Corporation, Fujitsu Limited, SAP SE, Salesforce, Hewlett Packard Enterprise (HPE), NVIDIA Corporation, Cognizant Technology Solutions, Infosys Limited, Adobe Inc., Wipro Limited, Teradata Corporation, Snowflake Inc., Cloudera Inc., Alteryx Inc., Denodo Technologies, Qubole Inc.

North America was the largest region in the automated data platform market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automated data platform market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the automated data platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

An automated data platform is a software system designed to streamline the collection, processing, and management of data by automating repetitive tasks and workflows. It integrates various data sources, enabling real-time analysis and decision-making with minimal manual intervention. These platforms typically include tools for data ingestion, transformation, storage, and visualization.

The main component types of automated data platforms include platforms and services. The platform refers to the core software infrastructure that provides the foundational tools for managing and analyzing data, including data integration, storage, processing, and visualization components. The deployment types include on-premises and cloud for types of enterprise size, which include large enterprises, small enterprises, and medium enterprises (SME). The end users are banking, financial services, and insurance (BFSI), healthcare, retail, manufacturing, information technology (IT) and telecommunications, government, and others.

The automated data platform market research report is one of a series of new reports that provides automated data platform market statistics, including automated data platform industry global market size, regional shares, competitors with an automated data platform market share, detailed automated data platform market segments, market trends and opportunities, and any further data you may need to thrive in the automated data platform industry. This automated data platform market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The automated data platform market consists of revenues earned by entities by providing services such as data integration, processing, and management automation. The market value includes the value of related goods sold by the service provider or included within the service offering. The automated data platform market also includes sales of data warehousing and storage solutions, data transformation and ETL (extract, transform, load) tools, and data analytics and business intelligence (BI) tools. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 3-5 business days.