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Global Tech-Talent Migration Report
April 2019
22
What the leaders have to say about tech talent migration?
“For us to be successful, Best innovations come from the most surprising places. Emerging Europe hasenormous innovative potential. We are looking for ways to keep talented people in their home countries. Webelieve that the countries of Central and Eastern Europe, thanks to a very good education system, talentedstaff and openness to new technologies, are in a particularly privileged position to develop the potential of thedigital economy”
“As a company, Microsoft believes in a strong and balanced high-skilled immigration system.We also believe in broader immigration opportunities, like the protections for talented and law-abiding young people under the Deferred Access for Childhood Arrivals (DACA) Program, oftencalled “Dreamers”. As an immigrant and as a CEO, I've both experienced and seen the positiveimpact that immigration has on our company, for the country, and for the world”
“If I were a world leader, my goal would be to monopolize the world's talent. I'd have a veryaggressive plan, not to just let a few people in, but I'd be recruiting. Apple believes deeplyin the importance of immigration -- both to our company and to our nation's future. Applewould not exist without immigration, let alone thrive and innovate the way we do”
“We know at this point that brilliance is pretty evenly distributed around the world, but access to thattalent and the ability for that talent to tap into the global ecosystem is very, very different. Having thebest engineer on their team be a 26-year-old woman from Nairobi is a really effective way to help [thetech industry] see that the world looks a little bit different than they may have imagined and that that'sOK”
-Sundar Pichai, CEO of Google
-Satya Nadella, CEO of Microsoft
-Tim Cook, CEO of Apple
-Jeremy Johnson, CEO of Andela
Every country in the world wants to create a Silicon Valley and attract skilled tech talent
33
GLOBAL TALENT MOVEMENT MYTHS AND TRENDS
United States & Canada
Ø US Tier-2 and Tier-3 locations are experiencing high tech talent growth due to expanding footprint by Tech giants, start-ups and other Fortune 500 companies
Europe India and China
“Tech talent in China is migrating towards further West”
“In United States, West Coast attracts top tech talent”
“Talent migration towards Eastern Europe is not significant”
“Tech talent quality in Tier 2 locations is not catching up with respect to Tier 1 locations”
MYTHS
TALENT MOVEMENT TRENDSØ 58% of total international migrants belong to middle income group, whose population size is growing at an accelerated pace. Better lifestyle, education of
future generations and upgraded lifestyle are few major push factors for middle income group shifting abroad.
Ø Knowledge walls are breaking across borders with increase in online learning platforms and high flow of students to pursue higher education abroad. ~81Mn registered students on online learning platforms (MooCs) globally in 2018. ~1.8 Mn International Students studying in USA, UK, Australia, Canada, Japan globally in 2018.
Ø Limited tech talent movement is seen in Western regions and high movement within emerging “Megalopolis” regions near inland areas of East-Coast Tier-1 cities. This is primarily due to increasing land cost in East coast region
Ø UK and Ireland are seeing the highest decline in inbound tech talent with the headcount reducing by 3.4% and 2.8% respectively
Ø In India, Vadodara and Ahmedabad together account for 49% installed tech talent among Tier-II cities, given that many GICs are setting up centres and start up ecosystem is also growing
Ø Germany’s sharp rise in developers, outstripping UK, is a combination of STEM students and immigration. It is pumping venture money into its fast-emerging tech ecosystems
Ø Netherlands and Spain has caught up in terms of education of entrepreneurship, software engineers boosting tech ecosystem
Ø A number of US companies are expanding their operations in Canada, where hiring foreign nationals is much easier. Majority of US Tech talent is migrating to Canada with the US restrictive approach towards issuing visas
44
Tech Talent Migration : Europe and Canada are seeing major tech talent inflow from Asia, Africa and North America
ASIA
EUROPE
NORTH AMERICA
AUSTRALIA
AFRICA
LATIN AMERICA
• Australia’s managed migration programme targets people with certain demonstrable skills and grants them permanent residency in the country
• 56% of Australia PR immigrants are from Asia
• Companies like Andela, trains software developers and then places them in salaried position in firms across Asia, Europe, the Middle East, and US.
• Latin America government is making huge efforts to become and IT outsourcing hub with programmes such as Program AR, Plan Vive Digital etc
• US is protecting innovation through strong IP laws.• Majority of US Tech talent is migrating to Canada with the
US restrictive approach towards issuing visas
• Canada’s "Express Entry" programme allows skilled workers to apply to immigrate to Canada.
• Tech Talent is migrating from UK to Germany after Britain exit from European Union
• IT talent in Ukraine is relocating to USA & Canada due to territorial complicacies in Ukraine
• French President Macron’s recently asked its IT specialists to relocate to Paris
GLOBAL TECH TALENT MOVEMENT• Protectionist mentality of US, Australia and Singapore, majority of tech talent from India is moving to Canada, Europe, Middle East and Japan
• Centre of China and Globalization is implementing policies such as guaranteed loan for start-ups, lowering threshold for IP financing etc for its Chinese residents to return back to country
55
Tech Talent Movement: Canada, Germany, UK, France, Australia are few top countries with positive net migration of tech talent
Brazil
Canada
China
France
Germany
IndiaItaly
Japan
Russia
Mexico
Singapore
UK
United States
Australia
LowHigh
Positive Negative
Net tech migration
AVAILABLE TECH TALENTHigh
NYC and Boston
• Top representation from
Indian and Chinese
students in Pursual of
higher education in instate
such as MIT, Harvard and
NYU
• Global Fintech hub in NYC
and mature research
ecosystem for high end
engineering in Data
science, Biomedical in
Boston attract global talent
Austin, Dallas and Charlotte
• Local talent movement is driven largely due to
American tech giants, Banking giants and retailers
expanding product development and IT teams in
Austin and Dallas .
• Indian SPs have expanded near shore talent due to
cost advantage and post implementation of HI-B
Visa
Ontario and Toronto
• With the expansion & establishment of offices of Tech
Giants Google, Microsoft, and Uber at Ontario and
Toronto, Tech Talent started to migrate to Canada.
• Advanced Tech courses & collaborations between
universities are attracting Tech Talent from China &
India.
Berlin and Munich
• Tech Talent is migrating from United
Kingdom to Munich & Berlin after fall of
pound value & Britain exit from European
Union.
• Berlin’s sharp rise in developers,
outstripping UK, is a combination of STEM
students and immigration.
Chongqing and Hubei
• Megalopolis and emerging Tier
2 city clusters like Chongqing,
Hubei, Dongguan in proximity of
top tech cities are causing talent
migration towards west.
• Companies Such as Huawei,
Foxconn, Xiaomi are setting up
centers in Tier 2 cities
influencing the talent to
relocate
Paris
• Introduction of Immigration
visas (uncapped) for Tech
workers to assist in the
growth of start-up
ecosystem.
• The onset of Brexit in 2018,
has resulted in Paris
becoming the single biggest
technological hub in EU
Sydney & Melbourne
• Sydney & Melbourne have
thriving start-up ecosystems in
FinTech & AdTech space.
Microsoft brought its intensive
program for start-ups to Sydney.
• Australia is among top-5
countries in blockchain & AI-
related patents & the New
Global Talent Visa Scheme is
attracting tech talent from India.
Amsterdam
• Amsterdam is emerging as a tech hub. Many of the Silicon
Valley companies including Google, Uber, Salesforce, and Cisco
have setup centres in the city. In 2018, city’s start-ups
received funding of €194m - which is 76% of the Netherlands’
total start-up funding.
66
Factors affecting talent migration: Democratization of innovation, government policies & socio-economic factors are primarily affecting internal & external migration
Democratization of Innovation
High
FACTORS GEOGRAPHICAL IMPACT
Low
Top 3 factors impacting tech talent movement
qe-learning, Exchange programmes, MooCsEx: ~7mn online enrolments from India in 2017
q Many prestigious universities such as Stanford, Princeton, University of Michigan are offeringcourses online. MOOCs has helped in addressing the quantity and quality education gaps bysupporting and replacing traditional classrooms. India has the second largest MOOC user base afterthe US. The talent pool thus upskilled is moving from Tier-II cities to Tier-I cities.
qScholarships to International StudentsEx: Rhodes Scholarship
q Countries such as USA, UK and Australia are attracting International students by providinggovernment-funded & university-specific scholarships.
Govt. Policies & Political Scenario
qStringent Visa & Work-permit rulesEx: New H-1B rules in the US
q Canada, under its more flexible Global Talent Stream system, is attracting immigrant talent from theUS. Major US tech firms like Amazon, Microsoft, Salesforce, Uber, etc are expanding into Canada toaccommodate their international talent.
qExit from Regional BlocsEx: Brexit
q As the UK is tightening its immigration policy, Germany, France and the Netherlands are increasingtheir share in attracting non-European tech-talent. Germany is the top destination for intra-European tech talent, followed by Spain, France & Switzerland
qPolitical unrest & instabilityEx: Middle-east
q Political instability in the Middle-east accelerated the migration of talent pool. More than50% of Arab tech talent has moved to OECD countries (as of 2018)
Socio-economic FactorsqHigh income-tax rates
Ex: In Norway, Australia, Canada, UK q USA has lower tax rates compared to other developed countries- this acts as a major pull factor for
talent pool to prefer working in the US (esp. from Canada near by)qHigher wages
Ex: Migration from India to US, UK, Canada, etcq Developed countries (US, UK, Germany, Australia, etc.) offer salaries that are 2-4 times the income
earned in India for similar roles. Higher wage is a pull factor for tech talent migration fromdeveloping countries to developed countries
Impact of factor on tech talent movement
77
4 % $147 Bn
Democratization of Innovation : Around 2020, the middle class population, which is increasingly contributing to the migrant talent across the globe, will become majority of global population for the first time ever
5.3 Bn
3.8Bn
2017 2030
88 percent of the next billion entrants into the middle class will be in Asia
380 MnIN INDIA
350 MnIN CHINA
130 MnIN REST OF THE WORLD
210 MnIN REST ASIA
Ø Growing global middle class population
Ø Accelerated remittances growth to middle income countries (2018)
Remittances to Middle Income countries
Major remittance recipients -China & India
Better career opportunities58% of total international
migrants belong to middle income
group
2018
Better education for future generations
Upgraded lifestyle and experience
• The rise of middle class was a factor allied to the IT revolution in developing countries.• Prime technology related educational opportunities had become too expensive from premier
universities. So, a lot of smaller institutes as well as online educational forums mushroomed across countries with a promise of lucrative jobs abroad and bring back money to home country.
• Mutual funds, retail equity trade and other non-banking financial instruments has seen a phenomenal growth, so has the consumerism culture of the country.
• Growth in disposable income and credit culture put televisions, mobile devices, automobiles, real estate etc. well within the reach of the masses thus stimulating demand.
88
Democratization of Innovation : Knowledge walls are breaking across borders with increase in registration of students in online learning platforms (MooCs) globally in 2018
Charles Severance , Professor, CourseraUniversity of Michigan School of Information
“I graduate about 900 new python programmers every week and 20% of them are in India. That means I personally graduate 180 new python programmers every week in India.”
Top 5 Countries by learners base
30% Enrolments in 2018 alone
81M Enrolments Globally
9,400 Courses
800+ Universities
30 million
14 million
9.3 million
8 million
7.1 million
US ~7.8 Mn
India ~3.4 Mn
China ~2.3 Mn
Mexico ~1.7 Mn Brazil ~1.6 Mn
MOOCS Global Enrolments (2011-2018) Highest Enrolments from India
99
University of BirminghamIoT, Big Data, AI/ML, RPA
IISC
University of NottinghamAI/ML, RPA, Bioinformatics
Beijing Jiotong University
Beijing Jiotong University
Software Engineering, Industrial Engineering
Setsunan University
Democratization of Innovation : ~1.8 Mn International Students studying in USA, UK, Australia, Canada, Japan globally in 2018
AUSTRALIA
INDIA
CHINA
VIETNAM
~36K
~89K
~10K
USA
INDIA~94K
CHINA~216K
CANADA~20K
MEXICO~12K
CANADA
INDIA
CHINA
~13K
~42K
JAPAN
CHINA
VIETNAM
~53K
~12K
~180K
~700K
~380K
~133K
Penking University University of MelbourneMathematics and Statistics, Environment, Computer ScienceIIT, Bombay Monash UniversityAdvance Computational Engineering, Simulation and Manufacturing, Nanotechnology, Stem Cell
~351K
IISC, Bengaluru
Neural Engineering, Computational Neuroscience,
Center for Sensorimotor Neural Engineering, Seattle
IIT, Madras Computer Engineering, Data Science, AI/ML
Concordia University
University of Waterloo
Advanced Robotics, Automotive, AI/ML Beijing Jiotong University
UNITED KINGDOM
INDIA
CHINA
USA
~12K
~62K
~10K
University of Florida
Intelligent Machines, Robotics, Biomedical Science
University of Windsor
Imperial CollegeAI/ML, RPA, Aeronautics, Earth Sciences
MIT
Total Immigrant students in the location
~XX
Total Immigrant students from
these locations~XX
1.8 Million International Students
1010
Democratization of Innovation : Top leadership in majority of tech giants is from immigrants
of companies in the 2017 Fortune 500 (List) were founded or co-founded by an immigrant or the child of an immigrant
~43%
Over 25%Immigrants Form new U.S.
businesses, driving entrepreneurship In major States
More than half of heavily funded U.S unicorns have an immigrant
as a founder or CEO
IMMIGRANT EXECUTIVES
Sundar PichhaiCEO, Google; Board member of Alphabet
Satya NadellaCEO, Microsoft
Safra CatzCEO, Oracle
Jeff BezosCEO, Amazon
Steve ChenCo-Founder, Youtube, AVOS
Driving major AI innovations such as Google Home, Google Duplex, Google AI, Tensor etc
Satya transformed AI, VR landscape by innovations such as Holoportation, Microsoft Pix, Skype Translator
Santa aims to initiate innovations in Cloud Technology such as Oracle Autonomous Database Cloud, & Oracle Infinity
Redefining Tech landscape by new initiatives such as Amazon Flex, Autonomous Car, Amazon Prime Air, Amazon Locker
Steve spearheads AVOS, a Technology company driving innovation in developing Apps in real-time.
1111
Govt. Policies & Political Scenario : Favourable ‘Immigration policy changes’ for techies and entrepreneurs are highly impacting talent mobility in countries like Canada and France
Affects / Outcomes Tech Talent Migration Index
Favourable VISA Policy
POLAND
FRANCE
ESTONIA
UNITED KINGDOM
CANADA
NEW ZEALAND
“Start in Poland” Program: A simplified Visa route for foreign tech startup Entrepreneurs with special legal, administrative, and financial benefits
French Tech Visa : Fast-track procedure for international tech talent to obtain a residence permit known as the "Passeport Talent" ("Talent Passport")
UK Startup Visa : Faster Visa process for tech entrepreneurs and their families coming to UK with a provision of permanent residency upon 5 year completion
Express Entry program : Smooth and hassle free application process for tech immigrants for Permanent residency in Canada
Global Impact Visa (GIV) : A three-year work visa that offers a path to permanent residency for entrepreneurs, investors and tech start-ups
Startup Visa : Initiative to establish startup in Estonia by Non EU tech migrants with a chance of Permanent residency without any “65,000” investment required in Estonia according to general “Schengen” VISA scheme
GIV spots in New Zealand increased from 100 to 400 in last 3 years
Poland
France
Estonia
UK
Canada
New Zealand
Canada Express Entry profile submissions increased from 200 K to 600 K in past 3 years
Estonia had received 325applications from 47 countries in 2017 alone by Non-EU nationals to work for the Estonia’s startups
Note: ‘Tech talent Migration index’ indicates the net influx of talent to the countries depending on impacting factors like attractive government policies, faster and better visa approvals and location preference of ‘Immigrants’ for better sustainability and opportunities
Migration indicator LowestHighest
1212
329K
254K 248K
160K145K 140K 134K 133K
114K99K 95K 91K 85K 84K 79K 72K 70K 69K 69K 59K 54K 53K 52K 51K 50K 49K 45K 44K 39K 38K 36K 35K 35K 31K 31K 31K 30K 29K 26K
-10%-8%-6%-4%-2%0%2%4%6%8%10%
Bay
Are
a
New
Yor
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Was
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ton
Dal
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Seat
tle
Chic
ago
Atl
anta
Los
Ang
eles
Bos
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Den
ver
Ho
usto
n
Min
nea
pol
is
Det
roit
Pho
enix
Phila
delp
hia
Bal
tim
ore
San
Die
go
Aus
tin
Ora
nge
Cou
nty
Ral
eigh
Dur
ham
Char
lott
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St. L
oui
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Kans
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ity
Port
land
New
ark
Colu
mb
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Tam
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Pitt
sbur
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Sacr
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Orl
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Cinc
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Clev
elan
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Ind
iana
polis
Salt
Lak
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ty
Lon
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San
Ant
oni
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Milw
auke
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Nas
hvill
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Nor
folk
0
50000
100000
150000
200000
250000
300000
350000
Employed tech Talent
Tech Talent Growth Rate (2016-18)
Top 10 Locations Tier2 locations and Long Tail
United States : US Tier-2 and Tier-3 locations are experiencing high tech talent growth due to expanding footprint by Tech giants, start-ups and other Fortune 500 companies
Tech Talent growth across top tier-1 cities is very low due to maturing ecosystem of Start-ups and Tech giants. Tier-2/3 locations are experiencing high growth due to expanding footprint of Software and IT centres and hitech start-ups
Avg. growth rate for Top 10 locations 0.9% Avg. tech talent growth rate for Tier-2 location and long tail 3.5%
Ava
ilabl
e te
ch ta
lent
cou
nt (2
018)
1% 2% 4% 2% 2% 3% 3% 2% 2% 2% 1% 3% 6% 2% 1% 2% 2% 3% 1% 1% 2% 5% 1% 1% 1% 1% 4% 1% 2% 9% 1% 4% 1% 0% 2% 1% 1% 2% 2%
% Positive Net Migration rate% Negative Net Migration rateNet Migration rate
1313Note : DRAUP’s proprietary talent module was used to analyse jobs by job roles and skill type across locations
San Francisco
Austin
Facebook employed 700 employees for its new centre in Austin
Apple is spending $ 1 billion to build its new campus and planning to hire 10,000 employees
Walmart has opened an engineering hub to develop emerging technologies to use across the company’s global operations
Chicago
Boston
Facebook is planning to open its new office in Chicago and it is expected to hire 500 employees
Amazon is planning its second Head quartersin Chicago and it is planning to hire 50,000 employees
Amazon is starting its 4th centre in Seaport District and it is planning to hire 2,000 employees by 2021
VMware has leased 37,948 sq. at the Lafayette City Centre in Boston
SEATTLE
Los Angeles
Net Inflow Migration
Net Outflow Migration
2.9%Austin
4.5%Tampa
2.2%Phoenix
2.2%Nashville
1.5%Dallas
0%Kansas
-0.7%Chicago
-0.3%Boston
US -Tech Giants Migration: Tech companies such as Google, Microsoft and Amazon are optimizing engineering teams by distributing product development in Tier-2 cities and sustaining high end engineering talent in West-Coast
1414
US - BFSI Technology Talent Migration: Finance companies are migrating their Technology Talent from cities like New York & Chicago to cheaper Tier 1 & Tier 2 cities like Jacksonville, Salt Lake city, Chandler (Mid and Back-office functions)
Note : DRAUP’s proprietary talent module was used to analyse jobs by job roles and skill type across locations
CHICAGO
Top locations for BFSI companies to open their Technology centres
NEW YORK REGION
Kansas
Philadelphia
Jacksonville
Charlotte
BloomingtonUrbanaChampaign
Minneapolis
PIMCO has opened its 3rd US office in Austin, to support the growth of its business functions like Technology, Marketing and Talent Management
Salt Lake City
Jacksonville & Tampa
Goldman Sach’s 4th largest office is a low-cost center for 14 of the 16 divisions of the company - Operations ,Finance, Compliance , Research, technology, etc (Except Trading, IB and Wealth/Asset Management )
Credit Suisse is expanding its footprint in TampaDeutsche has moved its tech talent in JacksonvilleCiti has 4 times the openings in FL as compared to NY and NJ.
Austin
Fidelity has invested in a campus in RTP which can accommodate as many as ~5K employeesDeutsche Bank has ~1K employees working in Cary for Software applications for Finance OpsCredit Suisse employs ~2000, around 40% in technology in Raleigh and ~1200 in RTP area
Durham / Research Triangle Park
Tampa2.9%Austin 1.5%Tampa
Jacksonville
0.1%Salt LakeCity
1.5%Durham/RTP
% Positive Net Migration rate
1515
US - Millennial migration patterns also show the movement towards Tier 2 locations such as Tempe, Dallas, Minneapolis, Nashville
Note : DRAUP’s proprietary talent module was used to analyse millennial moments across various cities
City Moved In Moved Out Net MigrationSeattle 29,628 22,326 7,302
Columbia 13,352 6,415 6,937Sacramento 16,181 9,501 6,680Minneapolis 21,758 15,229 6,529Jacksonville 23,327 16,973 6,354
Newport News 11,664 5,997 5,667San Jose 19,943 14,447 5,496Denver 40,647 35,541 5,106Norfolk 18,603 13,606 4997
Virginia Beach 19,122 14,138 4,984Charlotte 23,390 21,463 4,927Nashville 23,839 19,358 4,481Cincinnati 12,249 7,829 4,420
Overland Parks 8,015 3,916 4,099Louisville 12,657 8,765 3,892Arlington 10,806 7,015 3,791
Fort Collins 11,037 7,285 3,752Oakland 13,863 10,128 3,735Houston 41,661 37,972 3,689
Colorado Springs 17,141 13,550 3,591Durham 12,868 9,289 3,579Tempe 8,084 4,582 3,502
Fort Worth 17,750 14,400 3,350Columbus 23,126 19,791 3,335Thornton 4,822 1,624 3,198
United States Millennial Migrations Analysis
ATLANTAOKLAHOMA CITY
WACO
NEW ORLEANS
HOUSTON
DALLAS
SAN FRANCISCO
LOS ANGELES
NEW YORK
BOSTON
WASHINGTON DCCHICAGO
LAS VEGAS KANSAS CITY
ANN ARBOR
BERNARDSVILLE
BROCKTON
DENVER
SACRAMENTO
COLUMBIA
SAN JOSE
LOUISVILLE
CHARLOTTE
SAN ANTONIO
ABILENE
DENTON
DEL RIO
EL PASO
EDMOND
NORMAN
MIAMI
ORLANDO
TAMPA
NASHVILLE
ALBANY
SPRINGFIELD
DES MOINES
MINNEAPOLIS
PIERRE
CARSON CITY
ONTARIO
SALEM
AUSTIN
BANGOR
FLORIDA
CINCINNATIOVERLAND
PARKARLINGTON
FORT COLLINS
COLORADO SPRINGSDURHA
M
ARIZONA
TEMPE
FORT WORTH
JACKSONVILLE
NEWPORT
RICHMOND
VIRGINIA BEACH
OAKLAND
COLUMBUS
THORNTONFRANKFORT
CHARLESTON NORFOLK
VANCOUVERMISSOULA
HELENA
SEATTLE
RALEIGH
Outward Migration
Inward Migration
1616
Europe : UK and Ireland are seeing the highest decline in inbound tech talent with the headcount reducing by 3.4% and 2.8% respectively
XXX
XXX
21% of European tech founders move to another country to start-up. Central and Eastern Europe have witnessed the highest outward talent mobility
UK & Ireland
Inbound talent mainly from Southern, Central and Eastern Europe
Nordics & Baltics
France & DACH
Benelux
Southern Europe
Central & Eastern Europe
Inbound talent mainly from UK & Ireland
Inbound talent mainly from Southern Europe
Inbound talent mainly from Southern Europe
Outbound talent mainly to UK, Ireland, France and Benelux Countries
Outbound talent mainly to UK, Ireland Baltic Countries 2.8
2.6
6.8
4.9
4.9
6
6.8
7.6
18
12.8
3.2
3.4
4
4.2
5.9
7.7
8.1
8.5
14.6
14.6
Italy
Sweden
Ireland
Poland
Switzerland
Netherlands
France
Spain
United kingdom
Germany
2018 (% of talent)
2016 (% of talent)
-6.2%Change in Inbound talent percentage for UK & Ireland combined
+1.8%Increase in inbound talent percentage for Germany
> 1%Change in Inbound talent percentage for France, Netherlands & Switzerland
Variation in percentage intra-European migratory talent for the top 10 destinations – 2016 to 2018
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
1717
Africa : Rapidly rising internet and mobile population, key global company collaborations and higher education opportunities have resulted in global tech movement outflow
10,000+Software/IT developers migrated foreign countries in last 5 years
23%
10%
9%
9%
8%
7%
20%
United States
Saudi Arabia
Australia
UAE
Canada
Germany
14% UK
Other Countries
San Francisco, New York, Washington DC, Houston
Riyadh, Jeddah
London, Reading, Cambridge,Guilford, Edinburgh
Sydney, Melbourne, Brisbane, Perth
Dubai
Toronto, Vancouver, Calgary, Montreal, Ottawa
Berlin, Munich, Stuttgart, Frankfurt
Cairo, Giza
50,000+African students migrated to US and UK alone for studies
Nigeria, EgyptExport the highest number of students
South Africa, EgyptExport the highest number of IT talent
400+Key examples of CXO level employees have been mentioned below
Major Target Companies Sarah Mocke
CTO, Cross Domain Delivery, Microsoft, USA
Andrew FosterDeputy Chief Data Officer –Americas, Deutsche Bank, USA
Neil WhiteingChief Technology Officer, Commonwealth Bank, Australia
Peter MountainChief Security Officer – FSM, SAP, Germany
Kevin O’ConnorGroup Chief Information Officer, Equiniti, UK
Migrated Employees are currently at VP or higher levels
IT Service companies such as Andelapartner with global technology companies to outsource African developers, some of who eventually end up migrating to the respective foreign company locations.
Students Migration major factors:• Increased number of scholarship
opportunities• Higher number of exchange
programs• Leniency in Visa rules, particularly
in Australia and Canada
IT talent migration major factors:1. Higher pay scale2. Quality of Life3. Further Opportunities
Migration Factors
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
1818
-15 -10 -5 0 5 10 15 20
China : Limited tech talent movement in Western regions and High movement within emerging “Megalopolis” regions near inland areas of East-Coast Tier-1 cities
Province with minimaltalent movement
Province with reduced talent outflow
Province with reducedtalent inflow
GuangdongShanghaiZhejiangBeijing
JiangsuTianjin
LiaoningXinjiangShanxi
ShandongHeilongjiang
GansuGuangxiHunanChongqingGuizhou
AnhuiHenanSichuan
Hubei
Net outflow of talent (in Mn) Net inflow of talent ( in Mn)Period ( 2015 – 2030)Period ( 2000 – 2015)
Key Insights
Reduced inflow in eastern coastal cities in Future (2018 -30)
Megalopolis –Super city clusters around Tier-1 cities
Automation causing slow growth in Tier-1 cities
Unfavourable government policies restricting talent flow in Tier 1 cities
Key Drivers
Emerging new age technology hubs and industrial areas in Tier 2 regions
Future Scenario in China
Past trend• Guangdong, Shanghai and Zhejiang provinces
had the highest net “migrant” in China• Talent moving to East coastal regions of China
for better economic opportunities
Tech companies like Xiaomi, Foxconn, Huawei are optimizing talent footprint in Inland Tier-2 cities for generic software skills while retaining high-end talent in HQReduced
talent inflow in East coastal provinces
Reduced Talent outflow from Tier 2 locations
Xinjiang
Tibet
Qinghai
Gansu NingxiaShaanxi
Inner Mongolia
Heilongjiang
Jilin
Shandong
Beijing HebeiTianjin
Yunnan
Shanghai
ZhejiangSichuanChongqing
Guizhou
Guangxi
Fujian
Liaoning
Hunan Jiangxi
HubeiJiangsu
Anhui
Hainan
Henan
Guangdong
Emerging Super City Clusters (Megalopolis)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
1919
India : Vadodara and Ahmedabad together account for 49% installed talent among Tier-II cities, given that GICs are setting up their centres and the start-up ecosystem is growing
Thiruvananthapuram
Vadodara
Ahmedabad
Coimbatore
Visakhapatnam
Kolkata
Chandigarh
Kochi
NCR
Mumbai
Pune
Hyderabad
Bengaluru Chennai
20% 11
29% 16 50
4% 10
7% 6
8%780
13%10
2%1
18%11
Total GIC Tech talent
9,000Total GICs
72
Tier-I cities Tier-II cities
9MAnnual Internal Interstate Migrant Population
“We are building know-how and hope to be the global test factory for Allianz”,
Ashish Patel, Head of Allianz India operations, Thiruvananthapuram
Nissan motors has opened a digital GIC in Thiruvananthapuram to further its global digital transformation agenda
Xylem plans to deploy its locally developed technology solutions to solve
local market challenges in Vadodara
CASE STUDIES
100
20
530
230
20
100
Number of tech start-upsNote: The represented data has been analysed using DRAUP Proprietary Talent Database