Big Data and Business Analytics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
Big data and business analytics market size is poised to witness a 15% CAGR between 2024 and 2032 fueled by the rising volume and intricacy of data produced by organizations across diverse sectors. The escalating adoption of cloud computing and AI technologies offers adaptable solutions, enabling real-time and predictive data analysis. According to a 2024 report by the Cloud Security Alliance, nearly 98% of global companies are utilizing cloud services.
Businesses are harnessing data analytics to better comprehend customer behaviors, preferences, and emerging trends. This insight allows companies to customize their offerings, enhancing customer satisfaction and fostering loyalty. Moreover, with regulatory mandates emphasizing data privacy and security, organizations are turning to advanced analytics solutions. These not only ensure compliance but also optimize the value extracted from data assets.
The overall industry is divided into component, deployment mode, organization size, application, end user, and region.
Based on component, the big data and business analytics market value from the services segment is anticipated to witness growth through 2032 due to increasing demand for specialized expertise and support throughout the data lifecycle. Organizations require a range of services including consulting, implementation, and managed services to effectively leverage big data technologies and analytics tools, adding to the segment growth.
Big data and business analytics market from the customer analytics segment is predicted to record notable gains up to 2032 led by a strong focus on enabling businesses to gain deep insights into customer behaviors, preferences, and interactions. By analyzing vast amounts of customer data, companies can identify trends, predict future behavior, and personalize their offerings to enhance customer experiences and drive loyalty.
Asia Pacific big data and business analytics industry size will grow significantly through 2032. This is attributed to swift digital transformations across various sectors and an escalating appetite for data-centric decision-making. As regional businesses adopt cutting-edge technologies and digital solutions, the demand for strong big data and analytics capabilities has intensified.
Chapter 1 Methodology and Scope
1.1 Market scope and definitions
1.2 Research design
1.2.1 Research approach
1.2.2 Data collection methods
1.3 Base estimates and calculations
1.3.1 Base year calculation
1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
1.5.1 Primary sources
1.5.2 Data mining sources
Chapter 2 Executive Summary
2.1 Industry 360° synopsis, 2021 - 2032
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Supplier landscape
3.2.1 Cloud service provider
3.2.2 Platform integrators
3.2.3 Component providers
3.2.4 Business intelligence tools provider
3.2.5 End-user
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
3.8.1 Growth drivers
3.8.1.1 Increasing data generation through various sources
3.8.1.2 Improvements in data processing tools
3.8.1.3 Growing adoption of big data analytics to improve decision-making across various industries
3.8.1.4 Regulatory requirements drive organizations to implement robust data analytics frameworks
3.8.2 Industry pitfalls and challenges
3.8.2.1 Shortage of skilled professionals
3.8.2.2 Ensuring the privacy and security of vast amounts of sensitive data
3.9 Growth potential analysis
3.10 Porter’s analysis
3.10.1 Supplier power
3.10.2 Buyer power
3.10.3 Threat of new entrants
3.10.4 Threat of substitutes
3.10.5 Industry rivalry
3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 Market Estimates and Forecast, By Component 2021 - 2032 ($Bn)
5.1 Key trends
5.2 Hardware
5.3 Software
5.3.1 Data storage and management
5.3.2 Data integration and ETL
5.3.3 Data processing and analytics
5.3.4 Others
5.4 Services
5.4.1 Professional services
5.4.2 Managed services
Chapter 6 Market Estimates and Forecast, By Deployment Model, 2021 - 2032 ($Bn)
6.1 Key trends
6.2 On-premises
6.3 Cloud
Chapter 7 Market Estimates and Forecast, By Organization Size, 2021 - 2032 ($Bn)
7.1 Key trends
7.2 SMEs
7.3 Large enterprises
Chapter 8 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)
8.1 Key trends
8.2 Customer analytics
8.3 Pricing analytics
8.4 Spatial analytics
8.5 Supply chain analytics
8.6 Workforce analytics
8.7 Risk and credit analytics
8.8 Transportation analytics
8.9 Others
Chapter 9 Market Estimates and Forecast, By End-User, 2021 - 2032 ($Bn)
9.1 BFSI
9.2 Healthcare
9.3 Retail
9.4 IT and telecom
9.5 Government and public sector
9.6 Manufacturing
9.7 Media and entertainment
9.8 Energy and utilities
9.9 Transportation and logistics
9.10 Education
9.11 Others
Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)
10.1 Key trends
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.3 Europe
10.3.1 UK
10.3.2 Germany
10.3.3 France
10.3.4 Italy
10.3.5 Spain
10.3.6 Russia
10.3.7 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.2 India
10.4.3 Japan
10.4.4 South Korea
10.4.5 ANZ
10.4.6 Southeast Asia
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Brazil
10.5.2 Argentina
10.5.3 Rest of Latin America
10.6 MEA
10.6.1 UAE
10.6.2 South Africa
10.6.3 Saudi Arabia
10.6.4 Rest of MEA
Chapter 11 Company Profiles
11.1 Alteryx, Inc.
11.2 Amazon Web Services, Inc.
11.3 Cloudera, Inc.
11.4 Dell Technologies
11.5 FICO
11.6 Google LLC
11.7 Hewlett Packard Enterprise (HPE)
11.8 Hitachi Vantara
11.9 IBM Corporation
11.10 Microsoft Corporation
11.11 MicroStrategy
11.12 Oracle Corporation
11.13 Palantir Technologies
11.14 QlikTech International AB
11.15 SAP SE
11.16 SAS Institute Inc.
11.17 Splunk Inc.
11.18 Tableau Software, LLC (a Salesforce company)