The GCI provides a comprehensive and objective assessment of a country’s connectivity from both a national and business perspective, and assesses the current status, future trends, and challenges associated with digital transformation. It quantifies the value that connectivity generates for a country’s transformation into a digital economy, and serves as a reference for regional and national policy makers.

1. Tap into New Growth with Intelligent
Connectivity
Mapping your transformation into a digital economy with GCI 2018

2. GCI and its Methodology

3. A revolutionary shift is happening in the way the world works,
with economies across the planet going digital fast
156 countries have released national
ICT development master plan
Industry 4.0 Internet PlusAdvanced Manufacturing 2.0
Singapore Smart Nation Digital Canada 150 Smart Digital Malaysia
Nigeria National
Broadband Strategy
Colombia Live Digital Connected Argentina
Countries are setting policies to encourage ICT investmentThe Global GDP forecast 2017
Source: IMF
Source: ITU
2.8
2.7
2.5
3.0 3.1
3.0 2.9
2.0
2.2
2.4
2.6
2.8
3.0
3.2
2014 2015 2016 2017 2018 2019 2020
%
Global GDP Growth Rate

4. GCI：Mapping country’s transformation into a digital economy
Traditional Economy Digital Economy
The GCI provides a comprehensive and objective assessment of a country’s connectivity from both a national and business perspective,
and assesses the current status, future trends, and challenges associated with digital transformation. It quantifies the value that
connectivity generates for a country’s transformation into a digital economy, and serves as a reference for regional and national policy
makers.
79 Countries 95% GDP 84% Population

5. GCI methodology matrix: 4 economic pillars by 5 technology
enablers
SUPPLY DEMAND EXPERIENCE POTENTIAL
Fundamental :
e.g ICT laws, application, e-Government, R&D …
GCI Scoring Model
IOT
BIG DATA
CLOUD
DATA CENTERS
BROADBAND
5TechEnablers

6. Country evaluation done based on 40 indicators
Supply Demand Experience Potential
Fundamentals
Broadband
Data Centers
Cloud
Big Data
IoT
ICT Investment
Telecom Investment
ICT Laws
International Internet
Bandwidth
Fiber
Optic
4G
Coverage
Data Center
Investment
Cloud Investment
Big Data
Investment
IoT Investment
App Downloads
Smartphone Penetration
eCommerce Transactions
Computer Households
Fixed
Broadband Subscriptions
Mobile
Broadband Subscriptions
Data Center Equipment
Cloud Migration
Analytics Data Creation
IoT Installed Base
E-Government Service
Telecom Customer Service
Internet Participation
Broadband
Download Speed
Fixed
Broadband Affordability
Mobile Broadband
Affordability
Data Center Experience
Cloud Experience
Big Data Experience
IoT experience IoT Potential
Big Data Potential
Cloud Potential
DC Potential
Mobile Potential
Broadband
Potential
Software
Developers
IT Workforce
ICT Patents
R&D
Expenditure

7. GCI 2018 Country Rankings:

8. Digital Economy Heat map
Average GDP Per Capita: US$3,700
GCI score: 20-34
20 35 56 85
ADOPTERS FRONTRUNNERSSTARTERS
These countries are in the early stage of ICT infrastructure
build-out. Their focus is on increasing ICT supply to give more
people access to the Digital Economy.
Average GDP Per Capita: US$16,300
GCI score: 35-55
Nations in this cluster experience the biggest GDP
growth from ICT Infrastructure. Their focus is on
increasing ICT demand to facilitate industry digitization
and high-quality economic growth.
Average GDP Per Capita: US$54,100
GCI score: 56-85
These nations are mainly developed economies. They
continually boost user experience, and use Big Data and
IoT to develop a smarter and more efficient society.

9. Country 2018 rankings
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
United States
Singapore
Sweden
Switzerland
United Kingdom
Denmark
Netherlands
Norway
Australia
Germany
New Zealand
Canada
78
75
73
71
70
68
67
65
64
63
62
62
South Korea
Japan 65
64
France 61
Belgium 61
17
18
19
20 Austria 60
Finland 68
Luxembourg 63
62
Ireland
21
22
23
24
25
26
27
28
29
30
Spain
Portugal
UAE
China
Chile
Malaysia
Russia
55
52
53
51
48
48
46
31
32
33
34
36
37
38
39
Bahrain
Romania
Mexico
Colombia
Turkey
Peru
45
45
45
42
40
39
39
37
Czech Republic 50
Italy 50
South Africa
Thailand
Poland
35
42
58
59
60
61
62
63
64
65
66
67
68
69
70
Jordan
Egypt
Venezuela
Morocco
India
Algeria
Kenya
Ghana
Tanzania
Uganda
34
34
33
33
33
32
29
29
25
25
Vietnam 34
Indonesia 33
Nigeria 29
Estonia 54
Lithuania 52
Slovenia 51
Hungary 49
Slovakia 49
Croatia 46
Greece 46
Kuwait 45
40
41
42
43
44
45
46
47
48
49
50
51
52
53
55
56
57
54
Saudi Arabia 44
Belarus 44
Bulgaria 44
Brazil 43
Kazakhstan 42
Oman 42
Ukraine 41
Uruguay 41
Serbia 39
Argentina 38
Philippines 35
Lebanon 34
Ecuador 31
Botswana 29
Namibia 29
Paraguay 26
Bolivia
Pakistan
25
25
Bangladesh
Ethiopia
24
23
71
72
73
74
75
76
77
78
79
ADOPTERSFRONTRUNNERS STARTERSSCORE SCORE SCOREADOPTERS SCORE

10. GCI 2018 Key Findings:

11. GCI 2018 key findings
AI is turning Intelligent Connectivity into a
gateway for a new economic growth cycle
Economic
Impact
Intelligent Connectivity fuels industry
transformation and opens enormous opportunities
Industry
Impact
A country’s AI readiness should have three
equally important components in place—
computing power, labeled data and algorithms.
Technology
Impact
Economy Industry Technology

12. Strong ICT infrastructure improves the quality of economic growth
A one-point increase in GCI
does the following for your economy
1 pt
Increase in GCI
2.1%
Competitiveness
Innovation
2.2%
Productivity
2.3%
Economy

13. Most countries have embarked on the road to a digital economy,
but they are at different stages
Starters Adopters Frontrunners
110K
70K
60K
50K
40K
30K
20K
10K
0
80K
90K
110K
100K
15 25 35 40 45 50 55 60 65 70 75 803020
GCI 2018 score
Avg.NominalGDPperCapita2017
Ethiopia
Paraguay
Botswana
Argentina
Turkey
Colombia Belarus
Brazil
Bahrain Greece
Malaysia
Estonia
China
Portugal
Italy
United Arab Emirates
Luxembourg
Ireland
Norway
Switzerland
United States
Singapore
Sweden
DenmarkAustralia
Germany
France Japan United Kingdom
Finland
South Korea
Economy

14. The “Matthew Effect” – the digital divide becomes a digital chasm
GCI score
+2.8
+5.2
Starters
Adopters
Frontrunners
+6.0
26.6
29.4
40.0
45.2
60.1
66.1
20 30 40 50 60 70 80
2018 S-curve
2015 S-curve
Average scores 2015
Score change
An expansion of the S-curve (GCI score vs. GDP) shows the widening inequality between Starters, Adopters, and Frontrunners
Average scores 2018
STARTERS ADOPTERS FRONTRUNNERS
Economy

15. Inequality among the three clusters remains a prominent issue
for key indicators
ICT investment
per GDP
IT workforce
per capita
IoT install base
per capita
App downloads
per capita
Mobile broadband
subscriptions
per capita
2% 0.8%
2
21 80%
5%
2.8%9
38
116%
Starters and Adopters
Frontrunners
Economy

16. AI is turning Intelligent Connectivity into a gateway for a new
economic growth cycle
Economy

17. Move up the Technology Stack to Drive GDP Growth and Enter the
Intelligent Innovation Stage
Step 1 Step 2 Step 3 Step 4
Foundation Building Internet Innovation Data Innovation Intelligent Innovation
Countries in this stage are
still building an ICT
foundation.
Countries in this stage have
invested in connectivity
technology and look todrive
cloud adoption.
These nations represent the
current country leaders based
on their GCI scores. Focus
continues to be onbig data
and the drive towards IoT
adoption.
By 2025, we forecast that some of
the most advanced Frontrunners
will reach the Intelligent Innovation
stage.Fully ambient AI will give rise
to new forms of organization,
resource allocation, and
management.
Data Center
Broadband: FTTH, 3G, 4G, 5G
Cloud
Big Data IoT
AI
GCI score
15 35 55 85 100
80k
0
NominalGDPperCapita

18. Redefine the Connectivity: Intelligent Connectivity
Connectivity
AI
People
society
Industry
Connectivity
From connectivity to Intelligent Connectivity
Industry

19. Intelligent Connectivity enables industry transformation which
will shape a US$23 trillion digital economy by 2025
2.9
1.5
0.9
1.7
5.0
6.4
0.5
3.0
1.1
Government
Services Retail Transport Finance ManufactureICT Utilities Others
Professional
services
Industry
Intelligent Connectivity

20. INTELLIGENT MANUFACTURING $6.4 TRILLION
Connecting the Dots Along the Value Chain
Industry
Starters
Adopters
Frontrunners
Companies can begin digital
transformation with use cases that rely
mainly on internet connectivity and
embedded sensors to automate data
collection to gain insights that accurately
predict equipment failures to reduce
unplanned downtime.
Collaborative
resolution
Demand signal
processing
Equipment health
notification
Bill of
features
Affinity
building
With above average broadband
distribution across the nation,
organizations can use big data analytics to
work with large operational data sets,
install data-centric models to cut costs
and predict asset performance, make
possible real-time customer use and
performance metrics along with remote
field asset monitoring.
Cost analysis
Predictive
analytics
Model-based
design
Requirements
management
Asset
instrumentation
With extensive broadband coverage and
expansion of 4G, increased use of
industry clouds, IoT and analytics have
allowed organizations to proactively
monitor suppliers to mitigate supply chain
risks, better understand customers while
driving omni-channel fulfillment strategies.
Application store
platform
Real-time claims
management
Supplier
monitoring
Contextual
marketing
Case-based
learning
Inventory
intelligence
Advanced digital
simulation
System engineering
validation
Cognitive supply
chain
Automated
Kanban
Development of 5G technology, AI and
beyond will drive use cases that create a
thinking system enabling organizations to
analyze real-time data trends across a
complete value chain. Use cases will be
deployed on ultra-flexible connectivity
infrastructure capable of managing
immense volumes of traffic.
Future strategies

21. Industry
Starters
Adopters
Frontrunners
Future strategies
Transforming the experience they offer
citizens, residents, partners, and
employees through the use of connectivity
and localised analytics, ensuring public
safety, preventing criminal activity, and
accelerating the pace of discovery in
medical research, science and
engineering.
Renewable
energy
Agriculture
and farming
Regulatory
management
Digitization of everything, access to vast
stores of cloud-based data, all-of-
government data capture, management,
and analysis to uncover relevant and
actionable information and deliver it to
national agency executives in the right
context for decision making.
Cybercrime
reduction
Disaster
response
Immigration
management
Regulatory
management
Transformed national agencies will use
big data analytics to make better
decisions, optimize operations and
services to better understand constituent
needs, and provide appropriate services
and information, predict maintenance and
service on equipment and vehicles, detect
and prevent fraud, and enhance
cybersecurity.
Counterterrorism
Natural disaster
detection
Revenue/Tax
collection
Energy
development
Intelligent public
services
Autonomous
machines egulatory
execution
Ai enabled
administration
Advanced predictive analysis based on
cognitive computing, AI and deep
learning, will shorten time to insights and
transform how citizens, agencies, and
enterprises work and learn. Requisite
employee skills will change to solving
complex interactions to provide efficient
citizen and business support.
Analytics driven
monitoring
INTELLIGENT GOVERNMENT $2.9 TRILLION
Optimizing Efficiency, Management and Service Delivery

22. Industry
Starters
Adopters
Frontrunners
Organizations in countries with 3G
networks and good fixed line internet is at
an early stage of technology adoption.
The internet connectivity allows them to
link up their assets and equipment for
remote monitoring and inspection.
Asset health
communications
Drone-based
line inspection
Connected
safety wear
Organizations in this group are already
using data analytics for analyzing their
own large operational data sets. Having a
better internet network from 3G/4G and
cloud computing, they are able to have
asset and process automation.
Microgrids
Asset
instrumentation
Augmented
maintenance
Closed loop
outage management
With extensive 4G broadband coverage
organizations have relied on instrumented
assets to deploy self monitoring and
managed assets, as well as use big data
analytics and product diagnostics across
their external users to understand their
respective customer base.
Distributed
energy resources
Asset performance
management
Process condition
monitoring
Device based
energy programs
Intelligent grid
management
Digital grid
simulation
Self-healing
assets
At this stage organizations are able to
create a thinking system to enable
automation not only of things but the
processes. The development of 5G
technologies and beyond will continue to
drive use cases that require highly
cognitive AI functions
Future strategies
INTELLIGENT UTILITIES $0.5 TRILLION
Sending Resources When and Where They’re Needed

23. A country’s AI readiness should have three equally important
components in place
Technology
Algorithm
Software workforce, AI spending
Computing Power
Data center investment, Cloud
Data
Data creation, IoT install base
AI Readiness

24. Computing
Algorithm
Computing
Power
Computing
Data
12
10
8
6
4
2
Adopter FrontrunnerStarter
Policy Makers Need to Include AI in Growth Strategy
Technology

25. Call to Action

26. Imperatives for Digital Transformation Planning
ICT Infrastructure
Industry and
Enterprise
ICT Talent
Governments: Continuously enhance investment in digital infrastructure,
especially the expansion of broadband coverage, and the adoption of cloud
technology to ensure fair competition and inclusive growth in their own
economies throughout the global digitization process
Economies: Integrate digital infrastructure development with local industry
strengths to expedite industry upgrades and enable major industries to move
up along the value chain, and encourage innovation as well as bolster the
competitiveness of their major industries and enterprises
Governments: Work with scholars, technology providers, as well as education
and labor departments to ensure that digital resources are more widely and
readily accessible. Improve the digital knowhow of specific subsets of the
workforce, and cultivate a group of exceptional talent that is well positioned to
meet future needs

27. Recommendations for Starters:
ICT Policy Priorities for Starters
FOCUS AREAS
ICT Infrastructure
Priorities in 2018
Focus on improving high-
speed network access (e.g.
FTTH and 4G)
Industry and
Company Priorities
Focus on e-Commerce
and cloud
Workforce
Priorities
Focus on education for
cloud services and big data
RECOMMENDED ACTIONS
• Expand public-private partnerships for ICT infrastructure to accelerate build-out and control costs
• Expand high-speed broadband coverage: increase Fiber-to-the-Home (FTTH) networks to reach over
20% of households (up from 2% in 2017), and 4G coverage from 11% of the population in 2017 to 40%
• Invest in data centers to provide cloud services once high-speed network coverage expands
• Boost access to affordable computing devices and smartphones to over 60% of the population
• Promote Internet use to cross the 70% threshold, up from an average of 38% today
• Increase investment in cloud services to over 10% of total software investment to create a
transformation platform for industry automation
• Promote adoption of e-Commerce and social marketing to reach international markets
• Grow e-Commerce transactions by a factor of five, to more than $5,000 per capita
• Develop education programs to ensure workforce will be capable of using digital devices and have skills
needed in the digital economy
• Build programs to upgrade the skills of current workers to meet the needs of digital transformation and
industry automation
• Develop advanced programs to prepare IT workers for cloud services, big data and IoT. These workers
will play a vital role in moving the country through digital transformation

28. Recommendations for Adopters:
ICT Policy Priorities for Adopters
FOCUS AREAS
ICT Infrastructure
Priorities in 2018
Focus on 4G and
data centers
Industry and
Company Priorities
Focus on cloud and
big data to build
foundation for AI
Workforce
Priorities
Focus on big data
education
RECOMMENDED ACTIONS
• Improve the quality of connectivity by doubling telecom investment to 0.6% of GDP
• Expand 4G coverage from today’s 37% to over 70% coverage
• Attract enterprise investment in data center construction: grow data center investment four times to
0.16% of GDP
• Double analytics investment to 3% of total ICT investment by enterprises to build a foundation for AI
• Drive industry transformation by doubling overall ICT investment through investment in transformation
use cases as described in this report
• Expand cloud investment to over 20% of software investment (up from 11% today), and expand big data
investment from 1.2% to over 3% to move from a computerized economy to an intelligent economy
• Develop education programs that include analytics skills and capabilities to prepare the workforce for
the digital economy
• Facilitate sharing and protection of private data to build a rich data environment for developing new
business models and products
• Transform industry from a product-centric model that relies on lower margin manufacturing to a higher-
level services model

29. Recommendations for Frontrunners
ICT Policy Priorities for Frontrunners
FOCUS AREAS
ICT Infrastructure
Priorities in 2018
Focus on IoT and
ultra-fast broadband
buildouts
Industry and
Company Priorities
Focus on increasing
investment in AI and
analytics
Workforce
Priorities
Focus on education
curriculum that prepares workers
for an AI-enabled future
RECOMMENDED ACTIONS
• Accelerate adoption and deployment of 5G networks to provide the high-speed and low-latency
connectivity needed for Intelligent Connectivity
• Foster deployment and adoption of IoT devices used by people and machines to generate more data for
analytics and AI
• Increase FTTH coverage to over 50% to facilitate the deployment of IoT devices and AI in the home.
• Continue driving cloud adoption to develop industry ecosystems that promote open collaboration and
drive transformation
• Ramp up analytics investment to build Intelligent Connectivity platforms for companies and industries
involved in AI R&D and deployment
• Boost AI investment in pilot applications to build intelligent systems in logistics, manufacturing and
service delivery to unlock additional levels of productivity, driving economic value creation
• Prepare citizens for an AI-enabled future by retraining for skills that AI can complement, such as digital
fluency, design and creative skills, analytical and data handling skills, and skills for jobs that are non-
routine and non-repetitive such as personalized services, education and healthcare
• Build a pool of software developers who specialize in AI applications and algorithms

30. Copyright©2018 Huawei Technologies Co., Ltd. All Rights Reserved.
The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and
operating results, future product portfolio, new technology, etc. There are a number of factors that could cause actual results and
developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for
reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice.
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