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List of Big Data Statistics and Key Figures
1. Staggering Volume of Data Created
In 2023, every Internet minute sees 241 million e-mails sent, illustrating the intensity of digital communication.
Video streaming, with Netflix and its 209 million subscribers, dominates online media consumption, benefiting from improved digital infrastructures.
Messaging apps like WhatsApp, Facebook Messenger, and Telegram, popular for their extended services, including photos, videos, and free calls, are redefining global communication.
- By 2024, the total volume of data created in the world will reach 147 zettabytes, compared to only 9 zettabytes in 2013.
- 1 zettabyte = 1 trillion gigabytes, or 1 followed by 21 zeros!
- Each human being generates an average of 1.7 megabytes of data per second.
- 80 to 90% of this data is unstructured (images, videos, audios, social networks...).
- To download all the data on the Internet, it would take more than 180 million years for an individual.
These figures are dizzying and illustrate the titanic challenge of processing such massive amounts of data. But they also offer huge opportunities for businesses that can extract actionable insights from them.
2. A booming market
In 2021, the value of the global data analytics market exceeded 240 billion US dollars.
Significant growth is anticipated, with an expected market value of over $650 billion by 2029, underlining the rise and increasing importance of data analytics in the global economy.
- The global market for big data and analytics is worth 274 billion dollars in 2024.
- It is expected to reach $655 billion in 2029, representing an average annual growth of +19%.
- The market for big data analytics in the banking sector is expected to reach 62 billion dollars in 2025.
- In healthcare, this market will weigh 68 billion in 2025, 4 times more than in 2018.
- 97% of businesses are actively investing in Big Data and AI.
These figures show that companies have fully understood the strategic challenge of Big Data.
They devote colossal budgets to develop ever more advanced analysis capabilities and gain a competitive advantage.
3. Sectors Metamorphosed by Data
According to a global survey conducted in 2023, a growing number of businesses believe that they are using data effectively.
More than three-quarters of respondents said they drive innovation through data, while half saw their businesses as competitive through data and analytics.
- Thanks to recommendation algorithms based on Big Data, Netflix saves $1 billion a year in customer loyalty.
- Data-driven businesses are 23 times more likely to win customers.
- 72% of manufacturing executives rely on big data analytics to boost productivity.
- 83% of users TikTok Indonesians have a better opinion of car brands after seeing them on the app.
These concrete examples show how big data allows businesses to better understand and serve their customers, optimize their operations, and innovate. Marketing, finance, health, media... no sector is immune to this revolution.
4. Obstacles and Challenges to Overcome
The global big data security market is expected to witness a compound annual growth rate of 14.90% between 2023 and 2032.
Valued at $19.76 billion in 2022, the market is expected to reach $55.16 billion by 2032, reflecting the growing importance and rapid evolution of data security in the technology sector.
- For 95% of businesses, the main challenge is dealing with unstructured data.
- Half of managers believe that current data solutions lack flexibility.
- Only 25% of employees are actively using analytics and BI tools.
- Les Cyber scams jumped by 400% since the start of the health crisis.
While the potential of Big Data is immense, its democratization still faces obstacles such as a lack of skills, data silos, security breaches or resistance to change.
5. Towards an increasingly “Data-Driven” Future
In 2023, video represented 65.93% of the total volume of data on the Internet, an increase of 24% compared to 2022.
This figure includes television, streaming, and video downloads.
The marketplace, gaming, and social media sectors each contributed to more than 5% of traffic, confirming video as the main component of online business
- By 2025, 30% of global data will be processed in real time.
- The market for”Analytics-as-a-Service“(AaaS) will reach $69 billion in 2028.
- 72% of businesses plan to integrate AI into their data visualization tools.
- The number of connected objects, the main providers of data, will jump to 29 billion in 2030.
One thing is certain: the flood of data is far from receding. To remain competitive, companies will have to rely more than ever on cutting-edge technologies such as artificial intelligence, quantum computing or edge computing. Because in an ultra-connected and digital world, data is the new cornerstone of business performance.
6. Correlation of Big Data and Artificial Intelligence
Big Data and Artificial Intelligence (AI) are two transformative forces of our time. But it is their convergence that promises to change our societies in the coming decades.
Big Data is indeed the essential fuel for feeding ever more efficient and autonomous AI systems.
Focus on AGI
- According to a 2022 study, there is a 50% chance that AGI (general artificial intelligence) will be achieved by 2059.
- Experts like Geoffrey Hinton and Elon Musk even talk about a deadline between 5 and 20 years.
To make this leap to AGI, researchers are banking on a new generation of AI models powered by pharaonic quantities of data.
Beyond the quantitative aspect, the road to AGI will also involve algorithmic innovations:
- Unsupervised learning, symbolic reasoning, bio-inspired neural architectures, reinforcement learning...
- Cicero (Meta) : language module + strategic reasoning + long-term memory. Performs as well as a human in the Diplomacy game.
- Gato and Flamingo (DeepMind) : trained on text, images and interactions. Outstanding ability to adapt to a variety of tasks.
Challenges and opportunities The prospect of an AI with superhuman abilities, nourished by the flow of Big Data, is both fascinating and worrying.
- opportunities : solving major challenges such as climate change, diseases, poverty...
- Challenges : existential questions about our place in the universe, risks of an uncontrollable AI...
One thing is certain: the convergence of Big Data and The AI promises us unprecedented upheavals.
It is up to us to guide and manage this technological revolution now so that it benefits the greatest number of people.
The advent of AGI is no longer science fiction, it is a horizon that is fast approaching. Let's make sure that this new chapter in the human adventure brings hope and progress!
FAQs
What is big data?
Big data technologies are designed to help marketers better understand their prospects.
The information these tools provide allows marketers to understand the wants and needs of customers, which they can then use to create new campaigns and solutions that customers will appreciate.
Businesses that use big data can stand out from the competition while helping customers get what they need.
The big data industry is growing at a high speed and there are a lot of tools that businesses can use to continue growing.
As it progresses, more and more people can be expected to take advantage of the information these solutions provide.
What is cloud computing?
Data use has grown exponentially over the last decade.
Businesses are looking for cloud computing services to help them reduce costs while adapting to their needs.
Using a cloud-based system allows businesses to eliminate capital expenditures associated with the purchase of new hardware and software.
The data generated by the Big Data tools can be stored on the cloud, allowing businesses to access their information from any location and any device.
Flexibility and affordability have also contributed to making cloud computing a popular choice for businesses.
Different data sets can be processed more quickly with cloud web services, which means businesses won't have to worry about running out of resources when making quick business decisions.
Conclusion
As you can see, big data statistics are dizzying. This new era raises as many exciting challenges as it does pressing questions, especially on the hot topics of privacy and ethics.
A company that does not make its “data driven” transformation in 2024 runs a great risk: that of being left behind by competitors that are more agile and closer to the expectations of their customers. Big Data is not an option, but a necessary step in order to survive in an ultra-competitive environment.
So, ready to make your data talk and extract business gems? The future belongs to businesses that master the delicate art of turning raw data into informed decisions. Big Data still has a bright future ahead of it!
