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23:22

23:22

Sunday, January 19, 2014

Consumer Mobility & E-commerce Survey
23:22

Consumer
Mobility

Demography

E-.commerce

Contact Us
23:22

Respondent Demography
Survey period (Oct- Dec, 2013)
Total Respondents - 1016
Location: NCR and adjoining sub-urban areas
72%
28%
Female

41%

Male

38%

11%

8%

2%

Less than 20 21-25 years 26-40 years 41-60 years More than
years
60 years

67%
33%

Sub-urban

30%

28%

8%

<3 Lakhs

>10 Lakhs

57%

Graduation

Urban

18%

15%

3-6 Lakhs

6-10 Lakhs Not Earning

30%

13%

Masters and above Matriculation or
Less
23:22

Ecommerce

Devices
Adoption

Payment
Mechanisms

Device Change
Trend

Application
Usage

Place of
Purchase

Spending on
Devices

App
Authenticity
Concern

Ad Clicking
Behavior

Consumer Mobility

Mobility Dashboard

OS Comparison
23:22

Mobility Dashboard
Price of Devices

Device Adoption

•

•

While 83% smartphone
users own Laptop/
Desktop, only 16% own
a tablet
Android leading Mobile
OS with 76% adoption

•

Retention of Smartphones

•

61% of consumers
(aged less than 40)
change their
smartphones in less
than 2 years.

Email, social
networking, gaming, m
ultimedia, internet
surfing most common
use cases

•

On an average, Indian
smartphone users
made the shift from
features phones 26
months ago
App Behavior

Place of Purchase

•
•

App Use Cases

•

Average smartphone
price INR 20.1K and
13.7K for urban and
sub-urban
consumers, respectively

Shift to Smartphones

10% of all smartphones
bought online
15% Windows Phone
sold online

•
•

App Authenticity

Ad Clicking Behavior

•
•
•

54% users care about
app authenticity
Consumer app reviews
best check

87% users download
apps
Overall 83% users do
not purchase any apps

•

63% users don’t click
on any ad
E-commerce and
gaming ads garner
most interest
23:22

Device Adoption

Mobility device adoption

76%

Smartphone users use

Android

Smartphone users also own a

Tablet

83%

16%

Smartphone users also own a

Laptop/Desktop
23:22

Device Change Trend (1/2)

Migration to Smartphone

An average respondent
migrated to Smartphones

26 months ago

Urban:
Sub-Urban:

27 months

Sub-Urban users

23 months

4 months
late

31% new users

Addition of new users every
year
23:22

Device Change Trend (2/2)

Retention of Smartphones
39% users
Retain Smartphones for at least 2 years

Retention of smartphones
for at least 2 years

Urban users

Urban :

more prone to
retain
smartphones

Sub- Urban :

Retention
increases with

Age < 40 years :

Age

Age > 60 years :

42%
31%

39%
56%
23:22

Place of Purchase (1/2)

Online Device Purchase

10% Smartphones
are sold online
Income > 10 Lac :
Income < 3 Lac :

Windows
Phones fare best
in sales through
e-retailing

18%

Affluent

6%

users more likely
to purchase
phones online

Devices :

~15%

Devices :

~10%

Devices :

~4%
23:22

Place of Purchase (2/2)

Offline Device Purchase

Multi-brand Organized Retail,
a hit in Urban India

45%
Multi Brand
Organized Retail

52%
Local Mobile
Shop

Urban
Respondents

Sub - Urban
Respondents

25%
Authorized Singlebrand Showroom

25%
Multi Brand
Organized Retail
23:22

Spending on Devices (1/2)

Substantial spending
on smartphones, even in suburbs

18,230
Average Smartphone Price

Urban :

20,150

Sub- Urban :

13,680
*All values in INR
23:22

Spending on Devices (2/2)

Education and affluence
positively influence spending

Income

19,970

Matriculation & below :

11,740

> 10 Lac :

Education

Masters & above :

23,190

< 3 Lac :

14,160

*All values in INR
23:22

Payment Mechanism

Credit/Debit card usage*
high among Urban and Affluent Respondents

Location

Income

Urban :
Sub- Urban** :

41%
5%

> 10 Lac :

44%

< 3 Lac :

20%
*For Buying Devices

**89% sub-urban respondents prefer to pay by cheque/cash
23:22

Application Usage (1/4)

Despite high usage, tendency
to purchase apps low

87%

83%

Respondents
download Apps

Do Not Purchase
Any Apps

26 Apps

6 Apps

INR 417

Average # of
Apps
Downloaded

Average # of
Apps
Purchased

Average
Spending
on Apps

*All figures are for overall respondents
23:22

Application Usage (2/4)

Trends in App Downloads
27%

Male:

More apps downloaded by Male
users compared to females

Urban:
Sub-Urban:

28
22

Female:

28
22

27%
More apps downloaded by Urban
users compared to Sub-Urban

~2x
More apps download by Young
respondents compared with elders

Age < 16-20 yrs: 29
Age > 60 yrs:

13
23:22

Application Usage (3/4)

Trends in Paid Apps
Android users
Purchase and spend highest on apps
Amount spent
on Apps

No. of Paid Apps
downloaded

INR 417

7

INR 340

5

Affluence
Positively Influences download and Spending on Apps
Amount spent
on Apps

No. of Paid Apps
downloaded

INR 760

Income > INR 10 Lac

7

INR 328

Income INR < 3 Lac

3
23:22

Application Usage (4/4)

App Use Cases
83%

95%

Gaming

Social
Networking

86%
Music/Video

High Usage
Among Urban
and Sub-urban
Respondents
Alike

88%
Email

93%
Internet
Surfing
23:22

App Authenticity Concern

~46%* users not concerned
About App Authenticity

Indifference to Authenticity

60%*

<<

Higher in Suburbs:

40%*

Sub-urban

100%*

42%*

<<

Linked with Age:

Urban

60+ years

< 25 years

Checks to Ensure Authenticity

Consumer Reviews

68%**

Developers Profile

27%**

Consultation with
friends and peers

24%**

*Among respondents who download Apps
* *Among respondents who download Apps and are concerned
23:22

Ad Clicking Behavior (1/2)

63% users
Do not click on ads

7 ads* clicked
on an average over the last one year

Male:

8 ads*

Female:

4 ads*

2x
More Ads clicked by males
compared with females

*Among those who click on Ads
23:22

Ad Clicking Behavior (2/2)

Incentivizing Ad Clicking
Interested
Not
Interested

3/4th users
uninterested in sharing demographic data in exchange
of incentives

Ads Most clicked

Gaming

E-commerce

Health and
Wellness

54%*

46%*

10%*

respondents

respondents

respondents

*Among those who click on Ads
23:22

Android, iOS, Windows

1
2
3

4

5

Purchasing from abroadhighest for iPhone
Highest Market share for
Android- (Value and Volume)
Most iPhones purchased
through Authorized Single Brand
Showroom; Android and
Windows phones bought from
Multi-brand Organized Retail

iPhone users pay most for data
and are also highest users of 3G

Android and Windows users
purchase most apps, spending
on apps highest by Windows
phone users. Android users
most concerned for authenticity
of Apps.

Phone usage
6 highest amongfor E-commerce
Windows phone
users

7

Credit card information on
device ecosystem Mostly by
iPhone users

Percentage of
Respondents

5%

32%

2.5%

68%
76%

20%
10%

7%
8%

Authorized
Single Brand
showroom

20%

41%

29%

Multi-Brand
Organized
Retail

40%

30%

43%

49%

73%

51%

19%

43%

15%

7

5

7

Average spend
on Apps (INR)

417

340

541

Concerned
for App
authenticity

56%

47%

51%

Percentage of
Respondents

45%

55%

56%

Percentage of
Respondents

4%

18%

5%

By Value

By Volume

3G data
plan
Monthly spend
>INR 300
Apps
purchased
23:22

Consumer Mobility

Adoption of E-commerce as
E-commerce Info Medium

Top E-com
Websites

Purchasing
Trends

Payment
Mechanisms

Initiation to Deterrents to E- E-com on
E-com Sites com Adoption Mobile Devices
E-commerce

E-com Dashboard
23:22

E-commerce Dashboard
E-commerce Adoption

•
•

34% respondents shop
online at least once a
month
25% do not intend to
do so

•

Popular Purchases

•

Books, Travel tickets &
packages, Electronic
goods, Apparels are
the products most
shopped

Nearly 50% consumers
use e-commerce
websites to research on
products before buying
them offline

•

•
•

40% consumers visit an
e-commerce website
on friend’s suggestion
TV ads initiate 13%
traffic

31% respondents
believe that an
intermediary will help
uptake of e-commerce

On an average 19%
monthly budget spent
on e-commerce by
those who shop online
Key deterrents to e-com

Initiation of E-commerce

Intermediary Relevance

•

Spending on E-commerce

Medium of Information

•
•
•
•

Prefer shop visit: 36%
Quality concerns: 30%
Immediate delivery:
29.7%
Fear of wrong product:
28.7%

Mobility Devices for E-com

•

35% respondents use
their smartphones and
tablets for e-com
23:22

Adoption of E-Commerce (1/2)

Massive e-commerce uptake

Online shopping at least once a month
OVERALL RESPONDENTS :

34%

Similar adoption of
e-commerce among
Males and Females

Female :

34%

Male :

34%

~2x more urban
respondents
shopping online

Urban :

41%

Sub-Urban :

18%
23:22

Adoption of E-Commerce (2/2)

Reluctance to E-com
25% Respondents
do not intend to shop online

10%
Less resistance among

Income < INR 3 Lac:

32%

Income > INR 10 Lac:

22%

Affluent Respondents

3x
More reluctance among

Sub-Urban :

46%

Urban :

15%

Males :

28%

Females :

16%

Sub-Urban Respondents

~2x
More males reluctant
to shop online
23:22

E-com as Info Medium

E-com websites widely used as

Medium of Information
~50% consumers
Use E-com websites to

research on Products
before buying them Offline

Tendency higher among urban
respondents
Urban Respondents :
Sub-Urban Respondents :

64%
20%
23:22

Purchasing Trends (1/2)

Substantial Percentage of
Monthly Budgets spent on
E-commerce

Average share of e-commerce in
expenditures:
Affluent
Respondents spend
higher share of
wallet online
Education positively
influences the
spending on Ecommerce

19%

Income < 3 Lac :

14%

Income > 10 Lac :

19%

Matriculates & less :

12%

Graduates & above :

19%
23:22

Purchasing trends (2/2)

Products most shopped for
Online

51%
Books

47%

38%

Travel
Tickets/Packages

Shoes

46%

47%

Apparels

Electronic Goods

*All figures are for those who shopped online over the last one year
23:22

Payment Mechanisms

Credit/Debit Card payment
Users most comfortable using this
payment model

48% respondents
use Credit/Debit Cards for e-commerce
transactions

Urban

Sub-Urban :

Females :

55%

Males :

44%

36%

Urban :

respondents more
comfortable using
Credit/Debit cards

50%

Female users
more inclined to
using Credit/Debit
cards

*All figures are for those who shopped online over the last one year
23:22

Top E-commerce Sites

Brand recall limited to few
E-com websites
71%

17.3%

30%
E-com
Websites with
Highest Recall

17.5%

29.6%

Unless specifically asked 73% customers don’t
consider IRCTC ticketing as e-commerce
23:22

Initiation to E-com Sites

Peer Recommendations
critical to site selection

Initiation on an E-commerce site:

40%
on Peer Suggestion

35%
Through Product Web Search

13%
Influenced by TV ads
23:22

Deterrents to E-commerce

Key deterrents to E-com

Preference to
visit shops

36%
Immediate
Product
delivery

29.7%

Concerns
regarding
product
quality

30%
Fear of wrong
product
delivery

28.7%

31% respondents
Believe that a local intermediary will help uptake
of E-commerce
23:22

E-com On Mobile Devices

Mobility Devices for E-Com

35% respondents
use mobility devices for e-commerce

Education and Affluence
positively influence use of Mobility Devices for
E-commerce

Smartphones Tablets
8%

33%

Graduates & above :

37%

43%

Income < 3 Lac :

30%

23%

Income > 10 Lac :

40%

41%

Matriculates :

*All values for Smartphone and Tablet users who responded
23:22
69 "Prathiba Complex", 4th 'A'
Cross, Koramangala Ind. Layout
5th Block, Koramangala
Bangalore – 560095
Phone: +91-80-41127925/6
First Floor,
Plot # 131,
Sector - 44,
Gurgaon – 122002
Phone: +91-124- 4420100
21, Waterway Ave
Suite 300
The Woodlands
TX-77380 USA
Phone:+1-281-362-2773

Thank You

3080 Olcott Street
Suite A125,
Santa Clara, CA 95054
Phone: +408-716-8432
Level 42, Suntec Tower Three
8 Temasek Boulevard
Singapore 038988
Phone:+65 6829 2123

Meilifang Tower 4, Entrance 4,
10/F #1003,
11 Beiyuan Shuangying Road,
Chaoyang District, Beijing
China 100012

@zinnov

info@zinnov.vom
www.zinnov.com
This report is solely for the use of Zinnov Client and Zinnov Personnel. No
Part of it may be quoted, circulated or reproduced for distribution outside
the client organization without prior written approval from Zinnov

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Consumer Trend Study on "Consumer Mobility and E-Commerce"

  • 1. 23:22 23:22 Sunday, January 19, 2014 Consumer Mobility & E-commerce Survey
  • 3. 23:22 Respondent Demography Survey period (Oct- Dec, 2013) Total Respondents - 1016 Location: NCR and adjoining sub-urban areas 72% 28% Female 41% Male 38% 11% 8% 2% Less than 20 21-25 years 26-40 years 41-60 years More than years 60 years 67% 33% Sub-urban 30% 28% 8% <3 Lakhs >10 Lakhs 57% Graduation Urban 18% 15% 3-6 Lakhs 6-10 Lakhs Not Earning 30% 13% Masters and above Matriculation or Less
  • 4. 23:22 Ecommerce Devices Adoption Payment Mechanisms Device Change Trend Application Usage Place of Purchase Spending on Devices App Authenticity Concern Ad Clicking Behavior Consumer Mobility Mobility Dashboard OS Comparison
  • 5. 23:22 Mobility Dashboard Price of Devices Device Adoption • • While 83% smartphone users own Laptop/ Desktop, only 16% own a tablet Android leading Mobile OS with 76% adoption • Retention of Smartphones • 61% of consumers (aged less than 40) change their smartphones in less than 2 years. Email, social networking, gaming, m ultimedia, internet surfing most common use cases • On an average, Indian smartphone users made the shift from features phones 26 months ago App Behavior Place of Purchase • • App Use Cases • Average smartphone price INR 20.1K and 13.7K for urban and sub-urban consumers, respectively Shift to Smartphones 10% of all smartphones bought online 15% Windows Phone sold online • • App Authenticity Ad Clicking Behavior • • • 54% users care about app authenticity Consumer app reviews best check 87% users download apps Overall 83% users do not purchase any apps • 63% users don’t click on any ad E-commerce and gaming ads garner most interest
  • 6. 23:22 Device Adoption Mobility device adoption 76% Smartphone users use Android Smartphone users also own a Tablet 83% 16% Smartphone users also own a Laptop/Desktop
  • 7. 23:22 Device Change Trend (1/2) Migration to Smartphone An average respondent migrated to Smartphones 26 months ago Urban: Sub-Urban: 27 months Sub-Urban users 23 months 4 months late 31% new users Addition of new users every year
  • 8. 23:22 Device Change Trend (2/2) Retention of Smartphones 39% users Retain Smartphones for at least 2 years Retention of smartphones for at least 2 years Urban users Urban : more prone to retain smartphones Sub- Urban : Retention increases with Age < 40 years : Age Age > 60 years : 42% 31% 39% 56%
  • 9. 23:22 Place of Purchase (1/2) Online Device Purchase 10% Smartphones are sold online Income > 10 Lac : Income < 3 Lac : Windows Phones fare best in sales through e-retailing 18% Affluent 6% users more likely to purchase phones online Devices : ~15% Devices : ~10% Devices : ~4%
  • 10. 23:22 Place of Purchase (2/2) Offline Device Purchase Multi-brand Organized Retail, a hit in Urban India 45% Multi Brand Organized Retail 52% Local Mobile Shop Urban Respondents Sub - Urban Respondents 25% Authorized Singlebrand Showroom 25% Multi Brand Organized Retail
  • 11. 23:22 Spending on Devices (1/2) Substantial spending on smartphones, even in suburbs 18,230 Average Smartphone Price Urban : 20,150 Sub- Urban : 13,680 *All values in INR
  • 12. 23:22 Spending on Devices (2/2) Education and affluence positively influence spending Income 19,970 Matriculation & below : 11,740 > 10 Lac : Education Masters & above : 23,190 < 3 Lac : 14,160 *All values in INR
  • 13. 23:22 Payment Mechanism Credit/Debit card usage* high among Urban and Affluent Respondents Location Income Urban : Sub- Urban** : 41% 5% > 10 Lac : 44% < 3 Lac : 20% *For Buying Devices **89% sub-urban respondents prefer to pay by cheque/cash
  • 14. 23:22 Application Usage (1/4) Despite high usage, tendency to purchase apps low 87% 83% Respondents download Apps Do Not Purchase Any Apps 26 Apps 6 Apps INR 417 Average # of Apps Downloaded Average # of Apps Purchased Average Spending on Apps *All figures are for overall respondents
  • 15. 23:22 Application Usage (2/4) Trends in App Downloads 27% Male: More apps downloaded by Male users compared to females Urban: Sub-Urban: 28 22 Female: 28 22 27% More apps downloaded by Urban users compared to Sub-Urban ~2x More apps download by Young respondents compared with elders Age < 16-20 yrs: 29 Age > 60 yrs: 13
  • 16. 23:22 Application Usage (3/4) Trends in Paid Apps Android users Purchase and spend highest on apps Amount spent on Apps No. of Paid Apps downloaded INR 417 7 INR 340 5 Affluence Positively Influences download and Spending on Apps Amount spent on Apps No. of Paid Apps downloaded INR 760 Income > INR 10 Lac 7 INR 328 Income INR < 3 Lac 3
  • 17. 23:22 Application Usage (4/4) App Use Cases 83% 95% Gaming Social Networking 86% Music/Video High Usage Among Urban and Sub-urban Respondents Alike 88% Email 93% Internet Surfing
  • 18. 23:22 App Authenticity Concern ~46%* users not concerned About App Authenticity Indifference to Authenticity 60%* << Higher in Suburbs: 40%* Sub-urban 100%* 42%* << Linked with Age: Urban 60+ years < 25 years Checks to Ensure Authenticity Consumer Reviews 68%** Developers Profile 27%** Consultation with friends and peers 24%** *Among respondents who download Apps * *Among respondents who download Apps and are concerned
  • 19. 23:22 Ad Clicking Behavior (1/2) 63% users Do not click on ads 7 ads* clicked on an average over the last one year Male: 8 ads* Female: 4 ads* 2x More Ads clicked by males compared with females *Among those who click on Ads
  • 20. 23:22 Ad Clicking Behavior (2/2) Incentivizing Ad Clicking Interested Not Interested 3/4th users uninterested in sharing demographic data in exchange of incentives Ads Most clicked Gaming E-commerce Health and Wellness 54%* 46%* 10%* respondents respondents respondents *Among those who click on Ads
  • 21. 23:22 Android, iOS, Windows 1 2 3 4 5 Purchasing from abroadhighest for iPhone Highest Market share for Android- (Value and Volume) Most iPhones purchased through Authorized Single Brand Showroom; Android and Windows phones bought from Multi-brand Organized Retail iPhone users pay most for data and are also highest users of 3G Android and Windows users purchase most apps, spending on apps highest by Windows phone users. Android users most concerned for authenticity of Apps. Phone usage 6 highest amongfor E-commerce Windows phone users 7 Credit card information on device ecosystem Mostly by iPhone users Percentage of Respondents 5% 32% 2.5% 68% 76% 20% 10% 7% 8% Authorized Single Brand showroom 20% 41% 29% Multi-Brand Organized Retail 40% 30% 43% 49% 73% 51% 19% 43% 15% 7 5 7 Average spend on Apps (INR) 417 340 541 Concerned for App authenticity 56% 47% 51% Percentage of Respondents 45% 55% 56% Percentage of Respondents 4% 18% 5% By Value By Volume 3G data plan Monthly spend >INR 300 Apps purchased
  • 22. 23:22 Consumer Mobility Adoption of E-commerce as E-commerce Info Medium Top E-com Websites Purchasing Trends Payment Mechanisms Initiation to Deterrents to E- E-com on E-com Sites com Adoption Mobile Devices E-commerce E-com Dashboard
  • 23. 23:22 E-commerce Dashboard E-commerce Adoption • • 34% respondents shop online at least once a month 25% do not intend to do so • Popular Purchases • Books, Travel tickets & packages, Electronic goods, Apparels are the products most shopped Nearly 50% consumers use e-commerce websites to research on products before buying them offline • • • 40% consumers visit an e-commerce website on friend’s suggestion TV ads initiate 13% traffic 31% respondents believe that an intermediary will help uptake of e-commerce On an average 19% monthly budget spent on e-commerce by those who shop online Key deterrents to e-com Initiation of E-commerce Intermediary Relevance • Spending on E-commerce Medium of Information • • • • Prefer shop visit: 36% Quality concerns: 30% Immediate delivery: 29.7% Fear of wrong product: 28.7% Mobility Devices for E-com • 35% respondents use their smartphones and tablets for e-com
  • 24. 23:22 Adoption of E-Commerce (1/2) Massive e-commerce uptake Online shopping at least once a month OVERALL RESPONDENTS : 34% Similar adoption of e-commerce among Males and Females Female : 34% Male : 34% ~2x more urban respondents shopping online Urban : 41% Sub-Urban : 18%
  • 25. 23:22 Adoption of E-Commerce (2/2) Reluctance to E-com 25% Respondents do not intend to shop online 10% Less resistance among Income < INR 3 Lac: 32% Income > INR 10 Lac: 22% Affluent Respondents 3x More reluctance among Sub-Urban : 46% Urban : 15% Males : 28% Females : 16% Sub-Urban Respondents ~2x More males reluctant to shop online
  • 26. 23:22 E-com as Info Medium E-com websites widely used as Medium of Information ~50% consumers Use E-com websites to research on Products before buying them Offline Tendency higher among urban respondents Urban Respondents : Sub-Urban Respondents : 64% 20%
  • 27. 23:22 Purchasing Trends (1/2) Substantial Percentage of Monthly Budgets spent on E-commerce Average share of e-commerce in expenditures: Affluent Respondents spend higher share of wallet online Education positively influences the spending on Ecommerce 19% Income < 3 Lac : 14% Income > 10 Lac : 19% Matriculates & less : 12% Graduates & above : 19%
  • 28. 23:22 Purchasing trends (2/2) Products most shopped for Online 51% Books 47% 38% Travel Tickets/Packages Shoes 46% 47% Apparels Electronic Goods *All figures are for those who shopped online over the last one year
  • 29. 23:22 Payment Mechanisms Credit/Debit Card payment Users most comfortable using this payment model 48% respondents use Credit/Debit Cards for e-commerce transactions Urban Sub-Urban : Females : 55% Males : 44% 36% Urban : respondents more comfortable using Credit/Debit cards 50% Female users more inclined to using Credit/Debit cards *All figures are for those who shopped online over the last one year
  • 30. 23:22 Top E-commerce Sites Brand recall limited to few E-com websites 71% 17.3% 30% E-com Websites with Highest Recall 17.5% 29.6% Unless specifically asked 73% customers don’t consider IRCTC ticketing as e-commerce
  • 31. 23:22 Initiation to E-com Sites Peer Recommendations critical to site selection Initiation on an E-commerce site: 40% on Peer Suggestion 35% Through Product Web Search 13% Influenced by TV ads
  • 32. 23:22 Deterrents to E-commerce Key deterrents to E-com Preference to visit shops 36% Immediate Product delivery 29.7% Concerns regarding product quality 30% Fear of wrong product delivery 28.7% 31% respondents Believe that a local intermediary will help uptake of E-commerce
  • 33. 23:22 E-com On Mobile Devices Mobility Devices for E-Com 35% respondents use mobility devices for e-commerce Education and Affluence positively influence use of Mobility Devices for E-commerce Smartphones Tablets 8% 33% Graduates & above : 37% 43% Income < 3 Lac : 30% 23% Income > 10 Lac : 40% 41% Matriculates : *All values for Smartphone and Tablet users who responded
  • 34. 23:22 69 "Prathiba Complex", 4th 'A' Cross, Koramangala Ind. Layout 5th Block, Koramangala Bangalore – 560095 Phone: +91-80-41127925/6 First Floor, Plot # 131, Sector - 44, Gurgaon – 122002 Phone: +91-124- 4420100 21, Waterway Ave Suite 300 The Woodlands TX-77380 USA Phone:+1-281-362-2773 Thank You 3080 Olcott Street Suite A125, Santa Clara, CA 95054 Phone: +408-716-8432 Level 42, Suntec Tower Three 8 Temasek Boulevard Singapore 038988 Phone:+65 6829 2123 Meilifang Tower 4, Entrance 4, 10/F #1003, 11 Beiyuan Shuangying Road, Chaoyang District, Beijing China 100012 @zinnov info@zinnov.vom www.zinnov.com This report is solely for the use of Zinnov Client and Zinnov Personnel. No Part of it may be quoted, circulated or reproduced for distribution outside the client organization without prior written approval from Zinnov