4. Deep Learning Chipset Revenue
($
Millions)
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Data Center (Training)
Edge (Inference)
Source: Tractia & Intel AI summit 2019
5. AI in Vision Market
USD
25.32
Billion
USD
2.37
Billion
2017 2023
CAGR
47.54%
The overall market of AI in computer vision was valued at USD 3.62 billion
in 2018 and is expected to reach USD 25.32 billion by 2023, at a CAGR of
47.54% during the forecast period.
Launches, partnerships, and collaborations by large firms, such as NVIDIA
Corporation and Qualcomm Technologies, Inc, provide key opportunities in
the AI in computer vision market.
The market growth is attributed to the growing demand for edge
computing in mobile devices.
Development of machine learning in vision technology creates several
opportunities for the AI in computer vision market. Source: Markets&Markets
6. AI in Manufacturing Market
USD
17.2
Billion
USD
1.0
Billion
2018 2025
CAGR
49.5%
AI in manufacturing market estimated to be valued at USD 1.0 billion
in 2018 and further expected to reach USD 17.2 billion by 2025, at
CAGR of 49.5% during forecast period.
Machine Learning technology to hold major share of AI in
manufacturing market in 2018.
Among machine learning technologies, deep learning to hold largest
size of AI manufacturing market.
Availability of big data and increase in industrial automation are the
factors driving the growth of AI in manufacturing market. Source: Markets&Markets
7. – Mike Leach, Solution portfolio manager at Lenovo
“AI is a big market and huge talking point,
and it starts on a workstation”
26. Vision Starter Kit
(Classification, Object Detection)
1 Gather & Label 2 Train 3 Export 4 Integration
Gather, label and group your
examples into classes, that
you want the computer to
learn
Train your model, then
instantly test is out to see
whether it can correctly
classify or detect new
examples
Export and convert your
model with pre-configured
codes for your projects
Seamless integration with
your own business logics
without coding experiences
on your edge devices
