Big Data

• [New] With the cloud computing, big data, and remote work trends still in their early stages, investors can expect much more growth ahead for Salesforce in 2021 and beyond.
• [New] The US federal government alone could save $1.1 trillion over the next decade in areas like fraud and improper payments prevention, big data and analytics, mobile, and cybersecurity.
• AI and ML together will transform enterprise Data Management in the coming years, and many emerging technologies like the multi-cloud, edge, serverless, IoT, and big data will collaboratively contribute to the forthcoming digital disruption in global businesses.
• By 2022, annual revenue from the global big data and business analytics market is expected to reach 274.3 billion U.S. dollars.
• GSMA Intelligence have identified a $1.1 trillion revenue opportunity by 2025, which is largely made up of services beyond connectivity - innovative solutions across big data, machine learning, analytics, edge computing and distributed ledgers.
• In 2020, quantum computing will be required to handle big data in areas such as cancer treatment nuclear energy control and DNA analysis, among other areas.
• Dissatisfaction with Big Data Analytics is increasing the uptake of edge analytics solutions across industry verticals.
• The IDC predicts rapid growth in the big data and business analytics solutions market, with an expected global revenue of $274.3 billion in 2022.
• The global market for big data and business analytics is projected to reach more than $500 billion by 2026.
• Using big data, computer programs (or artificial intelligence) will be capable of analysing massive amounts of information, identifying trends and using that knowledge to come up with solutions to the world's biggest problems, such as hunger, diseases, climate change and overpopulation.
• In 2020, Data Science roles will expand to include machine learning and big data technology skills - especially given the rapid adoption of cloud and IoT technologies across global businesses.
• The Global Big Data and Data Engineering Services Market to witnessed good recovery in growth post first half of 2020 and is projected coverup market sizing during the forecast period (2021-2026).
• By 2022, 85% of companies are either likely or very likely to expand their use of data analysis, especially big data.
• The growing technologies such as Internet of Things, cloud, cyber security, big data analytics and Artificial Intelligence are expected to drive Qatar's growth in the next two to four years.
• Clearly the role of Big Data in IoT will only continue to accelerate in the coming years, and organizations that deploy IoT systems will need to use foresight in deciding how to manage the massive amounts of data that will be generated.
• The cloud market in India is expected to grow threefold to USD $7.1 billion by 2022 with the help of increasing adoption of Big Data, analytics, artificial intelligence, and the Internet of Things (IoT).
• The global market for just storage in big data is projected to cross $61.44 B, expanding at a CAGR of 20.4% during the forecast period (2016-2026).
• Increasing adoption of IoT, AI, big data, machine learning, among others in the healthcare industry is further expected to foster the market growth over next few years.
• Beijing seeks to build on big data analytic technologies and skills to become, by 2030, the global center for AI or, as Chinese leaders call it, intelligentized decisionmaking.
• The market for big data in the sports industry is expected to reach $4.6 billion by 2025.
• The demand for Global Big Data and Data Engineering Services market is anticipated to be high for the next five years.
• The Big Data Analytics in Manufacturing Industry Market was valued at USD 904.65 million in 2019 and is expected to reach USD 4.55 billion by 2025, at a CAGR of 30.9% over the forecast period 2020-2025.

Last updated: 17 January 2021