Data Analytics - Thematic Intelligence
Summary
Human activity generates a vast amount of data, from databases containing information about citizens to user-generated content on social media platforms and sensor data generated by smartphones and industrial machinery. Many industry forecasts expect over 175 zettabytes of data to be generated by 2025. A zettabyte is as much information as there are grains of sand on all the world’s beaches. We are drowning in data, and making sense of so much information is becoming more difficult. Data analytics tools can help us convert raw data into valuable insights and actionable knowledge. GlobalData estimates the total data analytics market will be worth $188.8 billion in 2027, implying a 13% compound annual growth rate between 2022 and 2027.
Scope
- This report provides an overview of the data analytics theme.
- It identifies the key trends impacting growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.
- It includes a comprehensive industry analysis, including market size and growth forecasts for the global data and analytics market, alongside analysis of trends in GlobalData's proprietary signals data, including M&As, venture financing, patents, company filings, hiring, and social media.
- The detailed value chain is split into four segments: hardware, data management, applications, and delivery.
- Also included are profiles of leading players in the data analytics theme, including Alphabet, Amazon, IBM, Microsoft, Oracle, Salesforce, and Snowflake.
- Humans increasingly generate more and more data, largely due to the digitalization of our society, from databases containing information about citizens in a standardized format to user-created content on social media platforms and sensor data generated by smartphones and industrial machinery. Many industry forecasts expect over 175 zettabytes of data to be generated by 2025. We are drowning in data, and making sense of so much information is becoming difficult.
- Data analytics help us go from raw data to useful insights and actionable knowledge. This report is an invaluable guide to a theme that is relevant to every company in every industry.
- Executive Summary
- Players
- Technology Briefing
- The four primary types of data analytics
- Data classifications
- The data analytics pipeline
- Enterprise data architecture
- Collect
- Store
- Process and analyze
- Visualize
- Action
- Governance, privacy, and security
- It’s not just what you implement; it’s how you implement it
- Trends
- Technology trends
- Macroeconomic trends
- Regulatory trends
- Industry Analysis
- Market size and growth forecasts
- Timeline
- Signals
- M&A trends
- Venture financing trends
- Patent trends
- Company filing trends
- Hiring trends
- Social media trends
- Value Chain
- Hardware
- Semiconductors
- Cameras
- Sensors and lasers
- Servers
- Storage devices
- Networking equipment
- Edge equipment
- Data management
- Data integration
- Data aggregation
- Data processing
- Data storage
- Data validation
- Data governance and security
- Applications
- Descriptive analytics
- Diagnostic analytics
- Predictive analytics
- Prescriptive analytics
- Delivery
- Hardware appliance
- Licensed software
- Analytics as a service
- Companies
- Public companies
- Private companies
- Sector Scorecards
- Application software sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Cloud services sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- IT infrastructure sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Glossary
- Further Reading
- GlobalData reports
- Our Thematic Research Methodology
- About GlobalData
- Contact Us
- List of Tables
- Table 1: Technology Briefing
- Table 2: Technology trends
- Table 3: Macroeconomic trends
- Table 4: Regulatory trends
- Trend Table 5:
- Table 6: Key M&A transactions associated with the data analytics theme since January 2022
- Table 7: key venture financing deals associated with the data analytics theme since January 2022
- Table 8: Public companies
- Table 9: Private companies
- Table 10: Glossary
- Table 11: GlobalData reports
- List of Figures
- Figure 1: Who are the leading players in the data analytics theme, and where do they sit in the value chain?
- Figure 2: Technology Briefing
- Figure 3: Descriptive and diagnostic describe the past; predictive and prescriptive are about the future
- Figure 4: There are many different ways of classifying data
- Figure 5: The data analytics pipeline includes collecting, storing, processing, analyzing, visualizing, and actioning
- Figure 6: Data analytics technology stack
- Figure 7: Data sources are infinite
- Figure 8: Lakehouses aim to combine the benefits of lakes and warehouses with none of the drawbacks
- Figure 9: BI dashboards help run businesses
- Figure 10: The artificial intelligence value chain
- Figure 11: Data science uses statistical techniques, ML, and huge datasets to identify KPIs and make predictions
- Figure 12: Generative AI is integrated with data analytics tools
- Figure 13: The core principles of data governance
- Figure 14: The global data analytics market will be worth $189 billion by 2027
- Figure 15: Asia Pacific and North America are the leading data analytics markets
- Figure 16: The data analytics story
- Figure 17: Data analytics M&A volume has been growing over the last 10 years
- Figure 18: Data analytics venture financing volume has been steadily growing over the last 10 years
- Figure 19: IBM, Alphabet, and Huawei lead the way in granted data analytics-related patents
- Figure 20: Data analytics-related patent publications have accelerated since 2018
- Figure 21: Data analytics mentions in company filings have steadily grown over the last five years
- Figure 22: Data analytics-related hiring peaked in April 2022
- Figure 23: Data analytics has been a somewhat declining talking point
- Figure 24: The data analytics value chain - An overview
- Figure 25: The data analytics value chain - Hardware – semiconductors
- Figure 26: The data analytics value chain - Hardware – cameras
- Figure 27: The data analytics value chain - Hardware – sensors and lasers
- Figure 28: The data analytics value chain - Hardware – servers
- Figure 29: The data analytics value chain - Hardware – storage devices
- Figure 30: The data analytics value chain - Hardware – networking equipment
- Figure 31: The data analytics value chain - Hardware – edge equipment
- Figure 32: The data analytics value chain - Data management – data integration
- Figure 33: The data analytics value chain - Data management – data aggregation
- Figure 34: The data analytics value chain - Data management – data processing
- Figure 35: The data analytics value chain - Data management – data storage
- Figure 36: The data analytics value chain - Data management – data validation
- Figure 37: The data analytics value chain - Data management – data governance and security
- Figure 38: The data analytics value chain - Applications
- Figure 39: The AI value chain - Delivery
- Figure 40: Who does what in the application software space?
- Figure 41: Thematic screen - Application software sector scorecard
- Figure 42: Valuation screen - Application software sector scorecard
- Figure 43: Risk screen - Application software sector scorecard
- Figure 44: Who does what in the cloud services space?
- Figure 45: Thematic screen - Cloud services sector scorecard
- Figure 46: Valuation screen - Cloud services sector scorecard
- Figure 47: Risk screen - Cloud services sector scorecard
- Figure 48: Who does what in the IT infrastructure space?
- Figure 49: Thematic screen - IT infrastructure sector scorecard
- Figure 50: Valuation screen - IT infrastructure sector scorecard
- Figure 51: Risk screen - IT infrastructure sector scorecard
- Figure 52: Our five-step approach for generating a sector scorecard
Research Assistance
Download our eBook: How to Succeed Using Market Research
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook