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Big Data Analytics Market Share

ID: MRFR//3088-HCR | 100 Pages | Author: Ankit Gupta| April 2024

Businesses use a range of tactics in the ever-changing Big Data Analytics industry to protect and improve their market share standing. Differentiation is a popular strategy used by businesses to set themselves out in a crowded market. This may entail creating exclusive features, in-house algorithms, or niche products for certain markets. Companies may draw in a certain clientele and position themselves as industry leaders in specialized Big Data Analytics market sectors by specializing in a particular area.

Cost leadership is another important tactic, where businesses concentrate on obtaining economies of scale and operational efficiency to provide competitive pricing. Businesses may take a sizable chunk of the market share by offering affordable solutions without sacrificing quality. This strategy works especially well for attracting budget-conscious clients and taking market share in price-sensitive areas. However, to save expenses and preserve high-quality services, you need a strong infrastructure and wise alliances.

In the Big Data Analytics industry, partnerships and collaboration are crucial components of market share positioning tactics. To improve their services, businesses frequently join forces with complementary service providers, industry leaders, or technology suppliers. These partnerships may result in the creation of integrated solutions that cover more ground in terms of client demands. Furthermore, strategic alliances may help open doors to new markets, clientele, and technological advancements, all of which can lead to a larger market share.

Another crucial tactic is market penetration, particularly for businesses trying to expand or new entrants. In order to increase one's share of the current market, this calls for aggressive marketing and sales strategies. Companies may increase awareness of their solutions and draw clients away from rivals by using effective sales channels, incentives, and targeted advertising. Retaining customers and establishing a strong brand identity are essential elements of effective market penetration tactics.

A key factor in determining market share positioning in the ever-changing Big Data Analytics sector is innovation. Businesses that make R&D investments to develop innovative technology and solutions frequently get a competitive advantage.

Big Data Analytics Market Overview


Big Data Analytics Market Size was prized at USD 221.6 Billion in 2022. The big data analytics market industry is projected to grow from USD 251.73 Billion in 2023 to USD 698.19 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 13.60% during the forecast period (2023 - 2032). Various businesses use the increased use of big data analytics software to facilitate better and quicker decision-making and gain a competitive edge through timely information analysis and action is the key market driver enhancing market growth. Additionally, a surge in small and medium-sized businesses need for cloud-based big data analytics software has a beneficial impact on the market's expansion.


Big Data Analytics Market Overview


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Big Data Analytics Market Trends


Growing adoption of databases is driving the market growth


Market CAGR for big data analytics is driven by the rising number of databases. Data is greatly increased by the expanding use of digital solutions across corporate sectors, including banking, healthcare, BFSI, retail, agriculture, and telecom/media. For instance, artificial intelligence has significantly changed the agricultural sector's risk management, precision farming, and pest control. Businesses are using bots to automate and reform functional contexts similarly. Data production by virtual assistants like Apple's Siri, Google Assistant, and Amazon Alexa is also staggering. For instance, 8.2 billion digital voice assistants are anticipated. social media usage has increased due to network connectivity and smartphone technology advancements. Therefore, it is projected that the industrial revolution will result in massive datasets due to advanced technologies in the sectors, the increased usage of smart apps, and the development of social media platforms. Thus, growing databases across sectors are anticipated to drive the market.


The volume of linked IoT devices has increased due to the Internet of Things (IoT), machine learning (ML) algorithms, and artificial intelligence (AI) technologies rapid adoption. The International Data Corporation (IDC) predicts that by 2025, 152,200 IoT devices connect every minute. The growing demand for connected devices accelerates the implementation of edge computing. Edge computing solutions are structures that move processors closer to the data source or destination rather than in clouds. Data close to its source or destination can be uploaded more quickly and with less server and network burden to the cloud or on-premise solutions. Thus, increasing edge-computing adoption is anticipated to open up profitable business opportunities. Thus, driving the big data analytics market revenue.


Figure 1: Number of Internet of Things (IoT) connected devices worldwide from 2019 to 2021 in billions, with forecasts from 2022 to 2030


Number of Internet of Things (IoT) connected devices worldwide from 2019 to 2021 in billions, with forecasts from 2022 to 2030


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Big Data Analytics Market Segment Insights


Big Data Analytics Component Insights


The big data analytics market segmentation, based on components, includes software and hardware. The software segment dominated the market, accounting for 74.5% of market revenue (165.1 Billion). Due to its extensive solution offerings, which include business intelligence solutions, credit risk management, CRM analytics, compliance analytics, workforce analytics, and others, it is predicted to grow rapidly during the projection period. Furthermore, the hardware sector experienced the fastest growth rate. The hardware sector, which includes mobile portable devices, connected devices, network equipment, and communication equipment, is anticipated to increase steadily.


Figure 2: Big Data Analytics Market, by Component, 2022 & 2032 (USD Billion)


Big Data Analytics Market, by Component, 2022 & 2032


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Big Data Analytics Solution Insights


The big data analytics market segmentation, based on solutions, includes fraud detection, risk management, customer analytics, and content analytics. The market's largest contributor was customer analytics in 2022. Emerging trends influence the market's development in researching and analyzing human behavior through social media and internet search engines. The fraud detection sector was the fastest-growing sector in the market in 2022. The number of incidents involving identity theft, data breaches, and payment fraud is rising, along with the use of e-banking, digital payment apps, and cross-border transactions paving the way for segment expansion.


April 2021: NICE Actimize has announced SURVEIL-X, an AI-powered surveillance and suitability solution for the insurance and wealth industries. SURVEIL-X is a system built on a holistic surveillance platform. SURVEIL-X Suitability, which several prominent worldwide FSOs have already used, combines communications surveillance, sales practices and suitability, and Regulation Best Interest (Reg BI) surveillance in a single, integrated cloud-native platform.


Big Data Analytics End-User Insights


The big data analytics market segmentation, based on end-user, includes banking, discrete manufacturing, process manufacturing, government, telecom, insurance, and transportation and utilities. Due to the rapidly expanding client base, the banking segment is anticipated to increase its revenue share the most in the industry vertical. Thanks to such solutions, the banking sector can efficiently attract, develop, and retain consumers. For instance, BBVA, a financial services provider, deployed a social media analytic tool to get insights about its product and brand image to serve its more than 47 million clients across 30 countries. In 2022, the IT & telecom sector had a significant market share. Due to the growing need for collaboration technologies like web conferencing and video conferencing, the market is growing. Companies in this sector also use modern analytical methods to prevent fraud like cloning and unauthorized access.


Big Data Analytics Regional Insights


By region, the report provides market insights into North America, Europe, Asia-Pacific and Rest of the World. The North American big data analytics market area will dominate this market. The area hosts well-known companies from various sectors and uses the software extensively. Due to the rising need for analytics solutions that provide sophisticated and better compliance analytics, which are essential for spotting fraud, policy violations, and other forms of corporate wrongdoing, the U.S. will experience substantial growth.


Further, the leading countries studied in the market report are US, Canada, France, German, Italy, UK, Spain, Japan, China, Australia, India, South Korea, and Brazil.


Figure 2: BIG DATA ANALYTICS MARKET SHARE BY REGION 2022 (USD Billion)


BIG DATA ANALYTICS MARKET SHARE BY REGION 2022


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Asia-Pacific big data analytics market accounts for the second-largest market share. The region has significant growth potential with developing nations like China, India, South Korea, Singapore, Japan, and others. China will likely control the market, and India will likely show off its more sophisticated potential. Big data analytics market share is projected to increase due to the expanding social media platform, increased internet and smartphone access, improved communication technologies, and digitalization. Moreover, China’s big data analytics market held the largest market share, and the Indian big data analytics market was the rapidly-growing market in the region.


Europe’s Big Data Analytics Market is estimated to expand at the fastest CAGR from 2023 to 2032. Electronic gadgets, social media, connected devices, and advanced communication technologies have increased dramatically across Europe. The region's rapidly expanding data is projected to drive up demand for analytics technologies. According to research by the European Parliament, European data analytics techniques could increase industry productivity. Further, the German big data analytics market held the largest market share, and the UK big data analytics market was the rapidly-growing market in the region.


Big Data Analytics Key Market Players & Competitive Insights


Leading market players are largely investing in research and development to expand their product lines, which will help the big data analytics market, grow even more. The launch of new products, larger-scale mergers and acquisitions, contractual agreements, and collaboration with other organizations are significant market developments in which market participants engage to increase their presence. The big data analytics industry must provide affordable products to grow and thrive in a more competitive and challenging market environment.


One of the primary business strategies manufacturers use in the big data analytics industry to increase market sector and benefit customers is local manufacturing to lower operational costs. In recent years, the big data analytics industry has stipulated some of the most important medicinal benefits. Major players in the big data analytics market, including Hewlett Packard Enterprise (U.S), Microsoft Corporation (U.S.), SAP SE (Germany), IBM Corporation (U.S.), and others, are investing in research and development operations to improve market demand.


Salesforce Inc is a company that provides enterprise cloud computing solutions. The company provides customer relationship management technology that connects businesses and customers. Its Customer 360 platform enables the company to provide a single source of truth by linking customer data across systems, apps, and devices to assist businesses in selling, servicing, marketing, and conducting commerce. In May 2022, Salesforce offered Tableau Cloud as the quickest and easiest option for customers to access Tableau's full enterprise capability. Previously known as Tableau Online, the service delivers innovations to enhance productivity by giving intuitive, powerful, and simple-to-use analytical tools that anybody can use to gain insights and make data-driven choices.


Wipro, with 175,000 workers, is a leader in IT services. This Bengaluru-based India IT services firm uses its offshore outsourcing approach to generate more than half of its revenue (57%) from North America. The company provides traditional IT services such as consulting, managed services, cloud infrastructure, and business process outsourcing as a service. In April 2022, Wipro partnered with DataRobot, an augmented intelligence firm, to increase consumers' business impact by providing augmented intelligence at scale and aiding them in becoming an AI-powered organization. Furthermore, this collaboration will ensure the AI strategy is swiftly embraced and businesses receive their data to value more effectively.


Key Companies in the big data analytics market include








  • Oracle Corporation (U.S.)




  • Pentaho (U.S.)




  • Microsoft Corporation (U.S.)




  • Google Inc (U.S.)




  • Hewlett Packard Enterprise (U.S)




  • Datameer (U.S.)




Big Data Analytics Industry Developments


August 2022: SAS and SingleStore have teamed to create next-generation data and analytics architecture, with SAS Viya enabling using SAS analytics and AI technology on data stored in SingleStore's cloud-native real-time database. The connection enables cloud, hybrid, and on-premises deployments to benefit from flexible, open access to curated data.


March 2022: Microsoft launched Azure Health Data Services, a Platform as a Service designed to serve transactional and analytical workloads. It supports Protected Health Information (PHI) and fuels Artificial Intelligence (AI) by combining health data on the cloud. The Azure Health Data Services API paradigm enables FHIR data to be transferred to Azure's strong PaaS infrastructure.


Big Data Analytics Market Segmentation


Big Data Analytics Component Outlook




  • Software




  • Hardware




Big Data Analytics Solution Outlook




  • Fraud Detection




  • Risk Management




  • Customer Analytics




  • Content Analytics




Big Data Analytics End-User Outlook




  • Banking




  • Discrete Manufacturing




  • Process Manufacturing




  • Government




  • Telecom




  • Insurance




  • Transportation and Utilities




Big Data Analytics Regional Outlook




  • North America






    • US




    • Canada







  • Europe






    • Germany




    • France




    • UK




    • Italy




    • Spain




    • Rest of Europe







  • Asia-Pacific






    • China




    • Japan




    • India




    • Australia




    • South Korea




    • Australia




    • Rest of Asia-Pacific







  • Rest of the World






    • Middle East




    • Africa




    • Latin America




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