Infrastructure for Business Analytics Market

Infrastructure for Business Analytics Market Outlook (2023 to 2033)

The global infrastructure for business analytics market is valued at US$ 13 million in 2023 and is expected to reach a market size of US$ 32 million by 2033. The market is forecasted to surge ahead at a CAGR of 9.4% between 2023 and 2033.

Infrastructure for business analytics is widely used in enterprise resource management (ERM) applications for enhancing supply chain management, reducing risk potential, fostering teamwork, and enhancing organizational financial conditions. As a result, many businesses are implementing it in ERM applications to save operational and investment costs.

Business analytics is a field of study and application that employs data and analytics to enhance organizational decision-making. The collection of tools, methods, and procedures that support data analysis is referred to as infrastructure for business analytics.

Data warehousing is one use of infrastructure for business analytics. The process of managing and organizing data so that it can be utilized to influence choices is known as data warehousing. It entails converting unprocessed data into information that analysts can easily identify and use. Organizations can use data warehousing to spot trends, determine the most lucrative client categories, and forecast results.

Big data is another way that infrastructure for business analytics is used. Large collections of digital data are referred to as big data. Because it is widely dispersed across numerous sources and formats, this data can be challenging to interpret.

Big data technology and services can assist enterprises in making sense of this data with the aid of machine learning algorithms. This method allows businesses to train computers to predict outcomes based on prior data. This technology can be used to forecast financial results, enhance customer service, and more. By offering tools and systems that assist data analysis, infrastructure for business analytics support organizations in making wise decisions.

Enterprises across the globe are actively using a combination of infrastructure products such as software, hard drives, servers, and processing systems to manage the diversity of analytics and business intelligence data being procured. This trend has successfully improved the decision-making process for enterprises, and thereby fueled the adoption of infrastructure for business analytics.

From industry leaders to start-ups, enterprises are adopting new solutions on infrastructure for business analytics for addressing the needs of varied users and reducing the disconnection between customer feedback and product development. Products sold in the market are being used to develop strategies for information management, processing framework, and technological integration.

The global market for infrastructure for business analytics is poised to expand over the coming years. As more companies are slated to enter the global business analytics landscape, demand for servers, flash drives, and other infrastructure products is expected to increase. Moreover, effective applications of these products will further propel market growth beyond IT-based entrepreneurial environments.

Report Attributes	Details
Market Size (2023)	US$ 13 Million
Projected Market Value (2033)	US$ 32 Million
Global Market Growth Rate (2023 to 2033)	9.4% CAGR
Market Share of Database Servers	60%
Key Companies Profiled	Cisco Corporation Hitachi Huawei Technologies NetApp, Inc. DataCore Software Unisys Pure Storage NEC Silicon Graphics Inspur

Why is Infrastructure for Business Analytics Exhibiting High Demand?

“Increasing Need for Real-time Analytics in Organizations”

Businesses are updating their data infrastructure to fulfill customers' real-time demands. Real-time analytics are also used by businesses to spot fraud, better analyze patterns, and enhance consumer experiences.

Real-time data analytics are being used by businesses to create plans for handling unforeseen circumstances. Live dashboard implementation will enable firms to quickly access pertinent information about their operations. The demand for real-time data is benefiting market expansion.

The growing usage of Internet of Things (IoT) devices is producing a lot of real-time data, which is driving up the demand for infrastructure for business analytics. Many sectors have improved customer service and increased revenue and productivity in their operations with the use of infrastructure for business analytics.

“Growing Demand for AI-enabled Business Analytic Solutions”

The volume and complexity of data growth within businesses are further promoting AI (artificial intelligence) use. Also, organizations can gain insightful data through AI and machine learning, which helps them predict consumer behavior and market trends. By breaking down massive amounts of data into specific insights, business intelligence's true potential may be evaluated.

AI-enabled business analytic solutions improve organizational operations by giving businesses crucial insight into data that they were previously unable to assess. Business intelligence tools driven by AI assess new data and identify trends that are profitable.

For instance,

• HANA-cloud SAP's platform, which enables users to manage databases of gathered data, shows the primary advantages of AI in business intelligence.

“Rising Adoption of Cloud-based Analytic Solutions”

Organizations are concentrating on cloud-based analytic solutions to adapt the strategic decision-making process as a result of the growing digitization, the accessibility of a wide range of data, and the desire to stay ahead of the competition. Key businesses are pushing towards digitization to analyze a large volume of unstructured data flowing across multiple platforms and improve company strategies.

• International Data Corporation (IDC) predicts that by 2025, 80% of the worldwide data gathered from businesses would be unstructured.

Firms have implemented a variety of business management systems based on the cloud to understand worldwide trends, client demand, and competitive benchmarks. These tools will help the business run more efficiently and effectively by assisting businesses in making better decisions based on historical and current data.

Organizations may improve their strategic decision-making with the use of cloud-based analytic tools, which can help them achieve high operational efficiency, increased customer happiness, and robust profit and revenue levels. As a result, there will be a high need for cloud-based data storage and analytic capabilities as unstructured data grows.

What is Restraining Global Demand for Infrastructure for Business Analytics?

“High Implementation Costs and Data Security Concerns”

The market is expected to be constrained by high implementation costs. Data security concerns with regards to business analytics could restrain market expansion.

Which Region Should Key Market Participants Invest In?

“Surging Adoption of Advanced Analytics across Industries in North America”

• North America is the most lucrative regional market for infrastructure for business analytics and currently accounts for 40% market share.

Surging adoption of advanced analytics from several industries, rapid industrialization, and increasing demand for financial analytics are supporting market expansion in the region. The use of business analytics by security organizations with a financial focus to check, monitor, and stop fraud related to high-value accounts is also anticipated to fuel market growth.

Country-wise Insights

Why is the United States a Profitable Market for Infrastructure for Business Analytics?

“Rising Need for Business Intelligence Technologies across Industry Verticals”

The market in the United States is anticipated to experience significant expansion over the projection period owing to the presence of top business analytic solution providers. The market is predicted to increase due to the rising need for business intelligence technologies to organize & analyze corporate data and make prompt and educated choices across various industry verticals.

Which European Country is Likely to Be a Prominent Marketplace?

“Extensive Use of Big Data Analytic Tools and Solutions in Germany”

Market growth in Germany is attributed to the extensive use of big data analytic tools and solutions. The use of business analytics to manage complex data sets has expanded as a result of the increasing adoption of IoT-enabled technologies by enterprises. To increase productivity and business efficiency, several companies are also making significant investments in business analytics.

What is the Market Outlook for Infrastructure for Business Analytics in Japan?

“High Demand for Business Analytics from Small- and Medium-sized Enterprises”

The market in Japan is expanding due to the high demand for business analytics from small and medium-sized enterprises. The increased usage of smartphones, wearable technology, and smart connected gadgets and rapid growth in data-driven businesses are boosting market value.

Category-wise Insights

Which Infrastructure Type Will Emerge as Key Market Contributor?

“Database Servers Offer Efficient and Scalable Solutions for Managing Large Amounts of Data”

By infrastructure type, the market is segmented into database servers, business software servers, analytics servers, internal hard disk devices, internal flash arrays, external all flash arrays, external all hard disk drives, and external hybrid flash arrays.

• Database servers account for 60% share of the global market.

A server that utilizes a database application and offers database services to other computer programs or computers is known as a database server. Database servers are computer programs that organize and manage data so that users can quickly access and modify it.

One of the main factors driving demand for database servers is the increasing amount of data that enterprises are producing. Businesses need effective database systems to handle, store, and process the growing amount of data they produce from many sources. For managing vast amounts of data and enabling quick access to crucial information, database servers offer efficient and scalable solutions.

Which is the Key Application Holding a Dominant Market Share?

“Infrastructure for Business Analytics Gaining Traction in ERM Applications Due to Growing Need for Operational Efficiency”

Based on application, the market is divided into enterprise resource management (ERM) applications, customer relationship management (CRM) applications, structured data management software, data access, analysis, & delivery, operations & manufacturing applications, application platforms, supply chain management (SCM) applications, system management software, integration & orchestration middleware, and others. Infrastructure for business analytics is gaining traction in enterprise resource management applications.

Demand for infrastructure for business analytics for ERM applications is rising as a result of the growing adoption of innovative and advanced technologies, highly secured resources, and developing financial systems. Growing need for data-driven choices, operational efficiency and transparency in business operations, and increased use of mobile and cloud applications are boosting the use of infrastructure for business analytics in enterprise resource management applications.

Competitive Landscape

Key market players are increasing the responsiveness of business software servers and database servers, improving the reliability of enterprises, and enhancing product standards. They are concentrating on increasing their operational productivity to make a mark in the industry.

Leading companies are focusing on quality control, pricing trends, new developments, joint ventures, and safety regulations to expand their reach in various developing countries. Several businesses are developing effective cloud analytic solutions to strengthen their market positions.

For instance,

• In 2019, a leading technology organization, Oracle Corporation, introduced Oracle Analytics, a collection of data, analytics, and apps that assist businesses in making data-driven decisions. Oracle Analytics provides expanded analytical capabilities for data preparation, visualization, and augmented analysis.

Infrastructure for Business Analytics Industry Research Segmentation

• By Infrastructure Type :

  • Database Servers
  • Business Software Servers
  • Analytics Servers
  • Internal Hard Disk Devices
  • Internal Flash Arrays
  • External All Flash Arrays
  • External All Hard Disk Drives
  • External Hybrid Flash Arrays

• By Application :

  • Enterprise Resource Management (ERM) Applications
  • Customer Relationship Management (CRM) Applications
  • Structured Data Management Software
  • Data Access, Analysis, and Delivery
  • Operations and Manufacturing Applications
  • Application Platforms
  • Supply Chain Management (SCM) Applications
  • System Management Software
  • Integration and Orchestration Middleware
  • Others

• By Region :

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa