Did you know that the use of Artificial Intelligence (AI) can increase business productivity by 40%? Nowadays, more and more companies are looking for different ways of implementing this technology as they want to succeed and offer better customer experience services. We’ve prepared an infographic for you to be aware of the current state and tendencies of AI.

1. Artificial Intelligence
Statistics 2022
Machine Learning
Natural Language
Processing
Predictive analytics
Computer vision Voice recognition
Optical Character
Recognition
Machine Learning
Market Segments by Region:
Potential Incremental Value
from AI over Other Analytics
Techniques, %
Artificial Intelligence VS
COVID-19
Impact of Pandemic
on AI Investments
State of AI Adoption:
AI Investments and Pay-Off
During Pandemic
Current AI Adoption Challenges
Artificial Intelligence
Market Segments by Technology
indatalabs.com
Big on Data Science & AI
McKinsey
MarketsAndMarkets
Accenture Deloitte
56% 84% 35%
survey respondents
who report AI adoption
in at least one function.
that’s how many business
executives count on AI
to achieve their growth
objectives.
the size of the global
Artificial Intelligence
market by 2026.
the size of the global
Artificial Intelligence
market in 2021.
share of companies that
have a comprehensive,
company-wide AI
strategy.
$309,6
billion
$58,3
billion
Jerry O’Dwyer Global Consulting Strategy, Analytics and M&A Leader at Deloitte
“Data is growing fast and technologies—AI, ML, RPA, and so on—if
applied smartly have the potential to help you validate, structure, and
better use it.
”
Greece
BusinessOverBroadway
Israel Netherlands United
States
UK
and Northern
Ireland
Germany Australia France China Taiwan
63
57 56
54 54 53 52 52
51
49
20%
0%
40%
60%
80%
Artificial Intelligence
Market Segments by Solution:
GrandViewResearch
Hardware
Software
Services
Travel
Transport and logistics
Retail
Automotive and Assembly
High Tech
Oil and Gas
Chemicals
Media and Entertainment
Basic Materials
Agriculture
Consumer Packaged Goods
Banking
Healthcare
Public and Social Sectors
Telecom
Pharmaceutical Products
Insurance
Advanced Electronics
Aerospace and Defense
128
89
87
85
85
79
67
57
56
55
55
50
44
44
44
39
38
36
30
McKinsey
20,000+
number of CT scans that
were analyzed since the
pandemic outbreak by AI
in the European Union.
number of Covid-19 false
negative cases that were
diagnosed with an AI
system.
68% 96%
EuropeanCommission NCBI Alizila
AI accuracy rate claimed
by the Alibaba DAMO
Academy, when
recognizing
coronaviruses.
24/7
that’s how often Chinese hospitals use AI-
powered robots for drug distribution, food,
and household goods delivery, treatment
to help fight COVID-19.
26
potential vaccines against COVID-19 were
predicted by the AI-assisted method.
Data, AI-Governance and COVID-19 report University Of Southern California
Artificial Intelligence
Market Segments by Industry
Upcoming Trends
in Artificial Intelligence
AI in
cybersecurity
1 AI for real-
time video
processing
3
Hyperautomation
4
Generative
AI
2
Intelligent
healthcare
5
Quantum
artificial
intelligence
6
IBM
PwC
My company is
leveraging data to
develop and scale AI
but has not deployed
any AI projects
My company is now
using ready-made AI
applications such as
chatbots
My company is
developing proofs of
concept for specific
AI-based use cases
34% 31% 27%
My company is looking
into intelligent
solutions, but we have
not invested into any
tools or apps
My company is
deploying AI across the
business
24% 21%
Statista
Percentage of ongoing or
accelerated AI investments
during the pandemic
Percentage of suspended
AI investments during
the pandemic
Life sciences
Telecommunications
Utilities
Energy
Public/government
Banking
Consumer products
Manufacturing
Global
Retail
Automotive
Insurance
62% 38%
60% 40%
47%
53%
52% 48%
48%
52%
51% 49%
51% 49%
52%
48%
36% 64%
64%
36%
34% 66%
51%
49%
Have made significant
investments
Investment provided
positive impact
Workforce planning
58%
63%
Simulation modeling
48%
61%
Supply chain resilience
63%
48%
Scenario planning
43%
65%
Demand projection
67%
42%
Contact tracing
35%
71%
Oreilly
workforce reskilling
challenges
3%
legal concerns, risks,
or compliance issues
6%
low business
relevance
8%
poor IT infrastructure
12%
lack of skilled AI talent
19%
challenges in identifying
suitable business cases
for automation
17%
lack of AI-friendly
company culture
14%
insufficient data
quantity or quality
18%
Agriculture
Entertainment
Retail
Bioscience
Transportation
Healthcare
Marketing
Finance
Manufacturing
AI