Brain Technologies

The global brain monitoring devices market is expected to grow at mid single digit CAGR of from 2019 to 2026 to reach $8,855.9 million by 2026.
Over the next five years the Brain Computer Interface market will register a +11% CAGR in terms of revenue, the global market size will reach US$ 250.3 million by 2024, from US$ 154.1 million in 2019.
The global Brain Computer Interface (BCI) market is valued at USD 125.21 million in 2018 and is expected to reach USD 283.04 million by the end of 2025, growing at a CAGR of 12.43% between 2019 and 2025.
The global market of Neuromorphic Computing is evaluated to witness a substantial growth of USD 648.40 Million by 2025 growing at a CAGR of 49.92% during the forecast period.
The global neuromorphic chip market is expected to reach USD 6.03 billion by the end of 2023, recording a CAGR of 27.16% during the forecast period (2018-2023).
In 2019, the global Brain Computer Interface (BCI) market size was USD 179 million and it is expected to reach USD 409.3 million by the end of 2026, with a CAGR of 12.4% during 2021-2026.
The global Brain Computer Interface (BCI) market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 11.9% in the forecast period of 2020 to 2025 and will expected to reach USD 288.4 million by 2025, from USD 184.2 million in 2019.
The Neuromorphic Chip Market was valued at USD 111.04 million in 2019 and is expected to reach USD 366.14 million by 2025, at a CAGR of 22% over the forecast period 2020-2025.
Mind uploading could become a reality with gradual neuronal replacement, rapid advancements in Strong AI, massively parallel computing, and nanotechnology allowing us to directly connect our brains to the Cloud-based infrastructure of the Global Brain.
The Global Brain-Computer Interface Market is expected to reach USD 2,564 million at a CAGR of over 15.1% by the end of the forecast period 2019-2024.
The global brain monitoring market is likely to grow further to reach $1.6 bn by the next year, offering a substantial market opportunity to Cortical.
The Brain Computer Interface market was valued at US$980 Million in 2017 and is projected to reach US$2310 Million by 2025, at a CAGR of 11.3% during the forecast period.
The global Neuromorphic Computing, Ai Hardware And Edge Analytic Market is expected to witness high growth during the forecast period.
By the year 2020, neural computer chips will have doubled capacity about twenty-three times, resulting in a speed of about 20 million billion neural connection calculations per second, which is equal to the human brain.
The global brain monitoring systems market is projected to grow at a CAGR of 7.41% to reach US$3.184 billion by 2024, from US$2.074 billion in 2018.
In the 8 MM, GlobalData epidemiologists forecast that the diagnosed incident cases of brain cancer will increase from 119,717 cases in 2017 to 151,067 cases in 2027, at an Annual Growth Rate of 2.62%.
The growing implementation of neuromorphic chips in several end-use industries such as automotive, healthcare, and semiconductor and electronics is also expected to create growth opportunities in the global neuromorphic chip market in the years to come.
In a small study, MRI brain scans predicted with 89 percent accuracy who would go on to develop dementia within three years.
The Non-invasive market contributed the larger revenue share to the Global Brain Computer Interface Market in 2015, and would continue to be a dominant market till 2022 and is expected to grow at a CAGR of 11.4% during the forecast period.
The North America market dominated the Global Brain Computer Interface Market in 2015, and would continue to be a dominant market till 2022; thereby, growing at a CAGR of 10.6% during the forecast period.
By 2020 the average desktop computer will have the same computing power as a human brain and by 2050 the average computer will have the same computing power as all the human brains on the earth.
Brain Aneurysm Treatment Market is expected to grow at a CAGR 5.4% during the forecast period of 2017-2023.
Many computer scientists around the world are trying to replicate the human brain by training neural networks to perform image recognition, but it is much easier to apply artificial intelligence to sound.

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Last updated: 09 August 2020