IDC predicts that our global datasphere – the digital data we create, capture, replicate and consume – will grow from approximately 40 zettabytes of data in 2019 to 175 zettabytes in 2025 (with one zettabyte equaling one trillion gigabytes).
Not only will the amount of IoT-generated and real-time data balloon, but so will the amount of data created and managed by enterprises. By 2025, nearly 60% of the 175 zettabytes of existing data will be created and managed by enterprises versus consumers (compared to just 30% created and managed by enterprises in 2015).
What will our global datasphere, and our ability to manage it, look like by 2025? Read these 19 predictions to find out what the future holds:
- By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists. – Gartner: 100 Data and Analytics Predictions through 2021
- By 2020, IDC predicts all effective IoT efforts will merge streaming analytics with machine learning. – IDC FutureScape: Worldwide Analytics, Cognitive/AI, and Big Data 2017 Predictions
- By 2020, revenue growth from information-based products and services will be twice the growth rate of the balance of the product/service portfolio in over half of Global 2000 firms. – IDC FutureScape: Worldwide Digital Transformation 2018 Predictions
- By 2020, 90% of large enterprises will be generating revenue from data-as-a-service. – IDC FutureScape: Worldwide IT Industry 2018 Predictions
- By 2021, 33% of organizations will expect natural language query and natural language generation as standard capabilities of business intelligence systems being considered. – Ventana Research Assertions
- By 2021, 66% of analytics processes will no longer simply discover what happened and why; instead they will also prescribe what should be done. –Ventana Research Assertions
- Through 2022, only 20% of analytic insights will deliver business outcomes. – Gartner: Our Top Data and Analytics Predicts for 2019
- By 2022, 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency. – Gartner: Our Top Data and Analytics Predicts for 2019
- By 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions. – Gartner: Our Top Data and Analytics Predicts for 2019
- By 2023, 60% of organizations with more than 20 data scientists will require a professional code of conduct incorporating ethical use of data and artificial intelligence. – Gartner: Our Top Data and Analytics Predicts for 2019
- By 2023, AI-enabled automation in data management will reduce the need for IT specialists by 20%. – Gartner: Our Top Data and Analytics Predicts for 2019
- By 2025, the total amount of digital data created worldwide will rise to 175 zettabytes (from approximately 40 zettabytes in 2019), ballooned by the growing number of devices and sensors. – IDC Data Age 2025
- More than 150 billion devices will be connected across the globe by 2025. – IDC Data Age 2025
- More than six billion consumers will interact with data every day by 2025, representing 75% of the world’s population. – IDC Data Age 2025
- By 2025, the average connected person anywhere in the world will interact with their connected devices more than 4,900 times per day (one interaction every 18 seconds). – IDC Data Age 2025
- IoT devices will generate more than 90 zettabytes of data in 2025. – IDC Data Age 2025
- By 2025, nearly 30% of all data created will be real-time (compared to 15% in 2017). – IDC Data Age 2025
- By 2025, nearly 60% of the 175 zettabytes of existing data will be created and managed by enterprise organizations (compared to 30% in 2015). – IDC Data Age 2025
- By 2025 49% of the world’s stored data will reside in public cloud environments. – IDC Data Age 2025
Enterprise organizations must act quickly to prepare for this near-future deluge of data. A new Harvard Business Review Analytic Services Pulse Survey of more than 700 business leaders shows:
- While 86% of organizations responding say the ability to extract new value and insights from existing data/analytics applications is very important, only 30% are very effective at doing so.
- While 75% say it’s very important to deliver actionable intelligence to employees across the enterprise, less than a quarter of organizations (24%) are able to achieve this.
- Only one in ten organizations currently say they have embedded data and analytics into all processes and decision making, and even fewer have advanced to predictive analytics or automated decision making.
- Just 28% of organizations are focused on new business model creation using data, which is key to digital transformation.
Analysts and influencers interviewed for accompanying Harvard Business Review Analytic Services report, An Inflection Point for the Data-Driven Enterprise, including Constellation Research Founder and Principal Analyst Ray Wang and analytics and digital transformation influencer Ronald van Loon, say companies that want to stay on the right side of digital disruption need to move fast and get serious now about their data and analytics efforts.
Constellation Research shows that digital business models are creating a winner-take-all market with digital leaders taking approximately 70% of overall market share and more than 77% of profits. “This is a top-down strategic business model decision that boards have to address,” notes founder and Disrupting Digital Business author Ray Wang. “Boards aren’t doing their jobs because they don’t understand the problem: they’re in a data war, and data is the weapon.”
For more forward-looking insights and advice from today’s top thought leaders including IDC, Constellation Research, Forrester, Ventana Research, Marcus Borba, Ronald van Loon and more, check out this additional resource: 10 Enterprise Analytics Trends to Watch in 2019.
A version of this post originally appeared here.