ID: MRFR/ICT/3088-HCR | 100 Pages | Author: Ankit Gupta | March 2024
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.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
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
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
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)
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
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.
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.
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)
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.
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.
IBM Corporation (U.S.)
Teradata Corporation (U.S.)
Tableau Software (U.S.)
SAP SE (Germany)
Oracle Corporation (U.S.)
Pentaho (U.S.)
Microsoft Corporation (U.S.)
Google Inc (U.S.)
Hewlett Packard Enterprise (U.S)
Datameer (U.S.)
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.
Software
Hardware
Fraud Detection
Risk Management
Customer Analytics
Content Analytics
Banking
Discrete Manufacturing
Process Manufacturing
Government
Telecom
Insurance
Transportation and Utilities
US
Canada
Germany
France
UK
Italy
Spain
Rest of Europe
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Middle East
Africa
Latin America
Report Attribute/Metric | Details |
Market Size 2022 | USD 221.6 Billion |
Market Size 2023 | USD 251.73 Billion |
Market Size 2032 | USD 698.19 Billion |
Compound Annual Growth Rate (CAGR) | 13.60% (2023-2032) |
Base Year | 2022 |
Market Forecast Period | 2023-2032 |
Historical Data | 2018- 2022 |
Market Forecast Units | Value (USD Billion) |
Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
Segments Covered | Component, Solution, and End-User |
Geographies Covered | North America, Europe, Asia Pacific, and the Rest of the World |
Countries Covered | US, Canada, France, German, Italy, UK, Spain, Japan, China, Australia, India, South Korea, and Brazil. |
Key Companies Profiled | Hewlett Packard Enterprise (U.S), Microsoft Corporation (U.S.), SAP SE (Germany), and IBM Corporation (U.S.). |
Key Market Opportunities | Rise in the adoption of technologies and big data analytics. |
Key Market Dynamics | Rise in data connectivity through cloud computing. |
The market size for big data analytics was prized at USD 221.6 Billion in 2022.
The market is anticipated to expand at a CAGR of 13.60% from 2023 to 2032.
North America had the major share of the market.
The leading market players are Hewlett Packard Enterprise (U.S), Microsoft Corporation (U.S.), SAP SE (Germany), and IBM Corporation (U.S.).
The software category acquired a major market share in 2022.
The banking sector had the largest share of the market.
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