PUBLISHER: The Business Research Company | PRODUCT CODE: 1509590
PUBLISHER: The Business Research Company | PRODUCT CODE: 1509590
Big data software encompasses a range of applications and tools geared towards processing, storing, analyzing, and deriving insights from large and intricate datasets. These software solutions are purpose-built to manage extensive volumes of structured, semi-structured, and unstructured data, often generated rapidly and in diverse formats.
The primary components of big data software include software itself and associated services. Software refers to the programs and applications utilized for data processing, task execution, and functionality provision across computers and other devices. These solutions can be deployed both in cloud environments and on-premises, serving various industries such as banking, discrete manufacturing, professional services, process manufacturing, government, and more.
The big data software market research report is one of a series of new reports from The Business Research Company that provides big data software market statistics, including big data software industry global market size, regional shares, competitors with a big data software market share, detailed big data software market segments, market trends and opportunities, and any further data you may need to thrive in the big data software industry. This big data software 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 big data software market size has grown rapidly in recent years. It will grow from $211.83 billion in 2023 to $245.47 billion in 2024 at a compound annual growth rate (CAGR) of 15.9%. Historical growth can be attributed to the rise of social media and multimedia, the proliferation of the Internet of Things (IoT), increased usage of smart apps, and the growing demand for data management and analytics software.
The big data software market size is expected to see rapid growth in the next few years. It will grow to $446.02 billion in 2028 at a compound annual growth rate (CAGR) of 16.1%. Forecasted growth can be attributed to the expanding databases across sectors, the demand from large businesses for sufficient IT resources, the increase in generated data volume, and the growing adoption of data discovery and visualization tools. Major trends in this forecast period include strategic partnerships, product innovations, technological advancements, and the integration of Artificial Intelligence (AI) and Machine Learning (ML).
The increasing adoption of digital solutions is poised to propel the expansion of the big data software market in the foreseeable future. Digital solutions encompass the integration of digital technologies across various domains to enhance efficiency, effectiveness, and user experiences. This demand surge stems from factors such as rising internet access, smartphone availability, and cost efficiencies. Leveraging big data software, digital solutions swiftly and accurately analyze large datasets, empowering organizations to make informed decisions, optimize operations, and personalize customer interactions. For instance, data from Augusta Free Press in December 2022 revealed that global spending on digital transformation reached approximately $1.85 trillion in 2022, marking a 16% increase from the previous year and indicating a growing reliance on digital solutions. Consequently, the widespread adoption of digital solutions is fueling the growth of the big data software market.
Key players in this market are prioritizing the introduction of advanced solutions, such as full-stack big data analytics solutions, to gain a competitive advantage. Full-stack big data analytics solutions encompass a comprehensive approach to data handling and analysis, leveraging various tools, technologies, and methodologies across the entire data processing pipeline. For instance, in September 2023, Synopsys Inc. unveiled an extension of its Synopsys.ai full-stack EDA suite, incorporating an AI-driven data analytics continuum for each stage of integrated circuit (IC) chip development. This solution, powered by AI, unlocks insights from vast datasets, employing AI-driven workflows and techniques to enhance productivity and quality of results (QoR).
In July 2023, Teradata Corporation acquired Stemma Technologies, enhancing its capabilities in transformative analytics from discovery to delivery. This acquisition integrates Stemma's automated data catalog capabilities into Teradata's offerings, improving user experiences and accelerating growth in AI and ML analytics. Stemma Technologies, a provider of big data software solutions, specializes in AI and machine learning to facilitate effective data discovery, trust, and utilization.
Major companies operating in the big data software market are Alphabet Inc., Microsoft Corporation, Hitachi Vantara Corporation, Amazon Web Services Inc., Siemens AG, Hewlett-Packard Company, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Broadcom Inc., ServiceNow Inc., Dassault Systemes SE, OpenText Corporation, SAP SE, Micro Focus International Limited, Splunk Inc., Zoho Corporation, Snowflake Inc., Cloudera Inc., Confluent Inc., Sumo Logic, Qubole Inc., TIBCO Software Inc., SAS Institute Inc.
North America was the largest region in the big data software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the market going forward. The regions covered in the big data software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the big data software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The big data software market includes revenues earned by entities by providing services, such as data collection and integration, data storage and management, and data processing and analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
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.
Big Data Software Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on big data software market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for big data software? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The big data software market global report from the Business Research Company answers all these questions and many more.
The 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
The impact of higher inflation in many countries and the resulting spike in interest rates.
The continued but declining impact of COVID-19 on supply chains and consumption patterns.