Upload
rinky-sachdeva
View
218
Download
0
Embed Size (px)
Citation preview
7/29/2019 India-Current Trends in Mobile Apps
1/30
Presented by:-
Rinky Sachdeva (146)
Rohit Jain (147)
Presented To: Atul Mathur (149)
Prof. Shivani Bali Noufal Ahmed (150)
Munish Mittal (151)
7/29/2019 India-Current Trends in Mobile Apps
2/30
FLOW OF PRESENTATION
Introduction to Mobile World
Top Mobile Phone Brands and their Market
Share in India
Current Scenario of Mobile Market in India
Brief Introduction to Mobile Applications
Categorization of Mobile Applications
7/29/2019 India-Current Trends in Mobile Apps
3/30
INTRODUCTION TO MOBILE WORLD
A decade back, having mobile phone was
considered a luxury but now its common productwith increased utility over time.
Mobile was first introduced by Motorola in India. With advent of new technology and new market
players, the price has reduced greatly.
Today, we have intense competition in mobile
markets with different companies such as Nokia,
Samsung, Sony, Htc, Lg , Micromax , Apple etc.
Launched their products in India.
7/29/2019 India-Current Trends in Mobile Apps
4/30
Rank Mobile Phone Company Market Share Revenue FY 2013
( Cr.)
1 Samsung 31.5% 11328
2 Nokia 27.2% 9780
3 Micromax 8.7% 3138
4 Karbonn 6.4% 2297
5 Apple Inc 3.6% 1293
6 HTC 3.3% 1180
7 BlackBerry 3.1% 1123
8 Lava 2.8% 1001
9 LG 2.3% 819
10 Sony 2.2% 797
TOP MOBILE PHONE BRANDS AND
THEIR MARKET SHARE IN INDIA
7/29/2019 India-Current Trends in Mobile Apps
5/30
Population of India - 1.22 billion
No. of Mobile phone users in India - 861.66 million
No. of mobile phones as percentage of population -
70.42%
Global ranking in number of mobile phone user - 2.
CURRENT SCENARIO OF MOBILE
MARKET IN INDIA
7/29/2019 India-Current Trends in Mobile Apps
6/30
Mobile Application is a software application designed to run on
Smartphones, tablet computers and other mobile devices.
Available through distribution platform which are operated by owner ofoperating system such Apples app store, Google play, Windows Phone Store
,Blackberry app world, Samsung Apps etc.
Mobile Applications(or Mobile apps) were originally offered for general
information such as email, calendar, contacts, stopwatch etc. but with
developed technological tools there are numerous apps in various categories
not limited to gaming, location based, travel, shopping and banking.
BRIEF INTRODUCTION TO
MOBILE APPLICATIONS
7/29/2019 India-Current Trends in Mobile Apps
7/30
Category Applications
Social Media apps Facebook, Google+, Viber, Whatsapp
Email Communication Yahoo! Mail 2.6, Gmail 4.5.2, Hotmail 7.8.2.8.47
Banking apps iMobile, State Bank Freedom, HSBC Mobile
Banking
News & Weather updates Pulse, Weather condition online 2.7, CNN app
1.3.0
Travel &Shopping Trip it, Trip case, Kayak, Makemytrip,
Location Information GPS travelling Pro, Tracker, Phone Tracker,
Google Maps
Job Alert Indeed, Monster Job, Naukri.com Job Search
Gaming Apps Modern Combat4, Fruit Slice, Temple Run
CATEGORIZATION OF MOBILE
APPLICATIONS
7/29/2019 India-Current Trends in Mobile Apps
8/30
To study the market share of leading Smartphone brands.
To study market segmentation of Smartphone brands
according to consumers Income.
To study market segmentation of Smartphone applications
according to consumers Income, Age and Profession.
To study difference in usage of Smartphone applications
according to consumers Income, Age and Profession.
OBJECTIVE
7/29/2019 India-Current Trends in Mobile Apps
9/30
We have used Convenience sampling technique where the
research is conducted in New Delhi.
Market research was conducted and the responses were
collected with help of the questionnaire.
Sample Size-170
The research outcome is limited as the sample is collected
from a particular region and hence it cannot be generalized
for entire population.
RESEARCH CONDUCTED
7/29/2019 India-Current Trends in Mobile Apps
10/30
Age Income Profession
45 years
FACTORS CONSIDERED FOR
RESEARCH
7/29/2019 India-Current Trends in Mobile Apps
11/30
8 8 10 6
2
12
44
40
16
0
5
10
15
20
25
3035
40
45
50
Brands
CONSUMERS USING LEADING
SMARTPHONES
7/29/2019 India-Current Trends in Mobile Apps
12/30
2 2 48
2
6
22
2
2
28
4
4
12
22
6
4
8
16
122
8
6
0
10
20
30
40
50
60
70
80
< 2 lacs 2- 5 lacs 5- 8 lacs > 8 lacs
Sony
Samsung
Nokia
Micromax
LG
Karbonn
HTC
BlackBerry
Apple
SMARTPHONE BUYING BEHAVIOR
ACCORDING TO DIFFERENT
INCOME GROUPS
7/29/2019 India-Current Trends in Mobile Apps
13/30
00.5
1
1.5
2
2.5
3
3.5
4
4.5
UsageFrequency
USAGE FOR DIFFERENT
CATEGORY OF APPLICATION
7/29/2019 India-Current Trends in Mobile Apps
14/30
Respondents were asked to rate their usage of different applications
on a scale of 1 to 5 ,where usage of a particular application
decreases from Most frequently used to Not at all used when
we move from 1 to 5.
It is clear from the graph that:
Social media, E-mail and Gaming applications are frequently used.
GPS, News & weather, Travel/Shopping and Job alert applications
are least used.
CONTD...
7/29/2019 India-Current Trends in Mobile Apps
15/30
0
0.5
1
1.5
22.5
3
3.5
4
4.5
5
< 2 Lacs
2-5 lacs
5- 8 Lacs
>8 lacs
USAGE OF MOBILE APPS
ACCORDING TO FAMILY INCOME
7/29/2019 India-Current Trends in Mobile Apps
16/30
25%
46%
14%
10%5%
Willingness to pay for Paid Applications
Nil
< Rs 100
Rs 100-200
Rs 200-400> Rs 400
HOW MANY CONSUMERS ARE
WILLING TO PAY FOR PAID
APPLICATIONS
7/29/2019 India-Current Trends in Mobile Apps
17/30
Application usedDifference in highest and
lowest mean values
P- valueSocial Media 0.33 0.444Location app (GPS) 1.23 0.072E- mail App. 1.09 0.0Banking 1.0 0.311News and weather 0.83 0.175Travel and Shopping 0.77 0.074Games 0.75 0.413Job Alert 0.81 0.071
ANALYSIS OF SMARTPHONE
APPLICATIONS WITH AGE
FACTOR USING ANOVA
O t d i t d t i h th diff b t hi h t d l t
7/29/2019 India-Current Trends in Mobile Apps
18/30
Our study is to determine whether difference between highest and lowest mean
values for each mobile application used is large enough to say that there exists a
significant difference in the their usage among different age groups.
Null Hypothesis Ho: 1=2=3=4= 5(Means of all age groups are equal)
Alternative Hypothesis Ha: 12345 (Means of all age groups are
unequal or means of any two groups are significantly different. )
Significance level taken = 5%
For, E-mail Communication app,
Difference in the two extreme values of mean = 1.50
P- value from ANNOVA test = 0
P < .05
Therefore, Null Hypothesis must be rejected.
It means that there exists a significant difference in the preference of people
towards the usage of E-mail communication app. in their smartphones among
various age groups.
7/29/2019 India-Current Trends in Mobile Apps
19/30
In Homogeneity of Variance, Sig. Value=0.0 Since, Sig (p) value of 0.0 < 0.05(=.05)
We conclude that there exists a significant difference in the groups
variances.
Games Howell Post Hoc method. We found the following groups to have a(p-value < =.05) and thus these groups differ in their usage behaviour of E -
mail communication application.
Age Groups P value18-25 and 26-35 .01518-25 and 36-45 018-25 and >45 0
E-mail Apps
CONTD
7/29/2019 India-Current Trends in Mobile Apps
20/30
Application usedDifference in highest
and lowest mean
values
P- value
Social Media 0.54 0.103Location app (GPS) 1.74 0.0E- mail App. 1.14 0.0Banking 0.92 0.055News and weather 1.51 0.0Travel and Shopping 2.05 0.0Games 0.55 0.104Job Alert 1.14 0.04
ANALYSIS OF SMARTPHONE
APPLICATIONS WITH INCOME
FACTOR USING ANOVA
7/29/2019 India-Current Trends in Mobile Apps
21/30
Null Hypothesis Ho: 1=2=3=4= 5(Means of all Income groups are
equal)
Alternative Hypothesis Ha: 12345 (Means of all Income groups
are unequal or means of any two groups are significantly different. )
Significance level taken = 5%
For, GPS app p-value from ANNOVA test =0.0
E-mail Communication app p-value from ANNOVA test =0.0
News and weather app p value from ANNOVA test =0.0
Travel & shopping app p-value from ANNOVA test =0.0
P < .05
Therefore, Null Hypothesis must be rejected.
It means that there exists a significant difference in the preference of people
towards the usage of these applications in their smartphones among various
income groups.
7/29/2019 India-Current Trends in Mobile Apps
22/30
Income Groups P value8 lacs 0.048
Income Groups P value
7/29/2019 India-Current Trends in Mobile Apps
23/30
Income Groups P value8 lacs .0322-5 lacs and >8 lacs .015-8 lacs and >8 lacs 0
Income Groups P value8 lacs 0.0
E-mail Apps
GPS Apps
7/29/2019 India-Current Trends in Mobile Apps
24/30
Application usedDifference in highest and
lowest mean values
P- valueSocial Media 0.27 0.152Location app (GPS) 0.55 0.203E- mail App. 0.55 0.107Banking 0.22 0.801News and weather 0.37 0.363Travel and Shopping 1.09 0.001Games 0.45 0.163Job Alert 0.13 0.836
ANALYSIS OF SMARTPHONE
APPLICATIONS WITH PROFESSION
USING ANOVA
7/29/2019 India-Current Trends in Mobile Apps
25/30
Null Hypothesis Ho: 1=2=3(Means of all profession groups areequal)
Alternative Hypothesis Ha: 123 (Means of all profession
groups are unequal or means of any two groups are significantlydifferent. )
Significance level taken = 5%
For Travel & shopping app,
Difference in the two extreme values of mean = 1.09
P- value from ANNOVA test = 0.001
P < .05
Therefore, Null Hypothesis must be rejected. It means that there exists a significant difference in the preference
of people towards the usage of these applications in theirsmartphones among various income groups
7/29/2019 India-Current Trends in Mobile Apps
26/30
Profession Groups P valueBusiness and Service .026
Travel / Shopping
7/29/2019 India-Current Trends in Mobile Apps
27/30
Nokia, Samsung and Sony are the leading market smartphone brands withdecreasing share.
Social media, E-mail and Gaming apps are frequently used while News &
weather, Travel/Shopping, Job Alerts and GPS apps are least used.
Majority of the population prefer free apps over paid one.
A significant difference in usage of E-mail apps in age group18-25 & 26-35,18-
25 & 36-45 and18-25 & >45.
A significant difference in usage of Travel/Shopping apps in income group 8lacs.
A significant difference in usage of News/ weather apps in income group
7/29/2019 India-Current Trends in Mobile Apps
28/30
A significant difference in usage of E-mail apps in income group
8 lacs, 2-5 lacs & >8 lacs, and 5-8 lacs & >8 lacs.
A significant difference in usage of GPS apps in income group
8 lacs.
A significant difference in usage of Travel/Shopping apps
between Business and Service class customers.
CONTD
7/29/2019 India-Current Trends in Mobile Apps
29/30
http://www.voicendata.com/voice-data/analysis/194498/see-you-again
http://www.cybermedia.co.in/corporate/media-room/194385/voice-data-
survey-indian-mobile-handsets-market-2012
http://en.wikipedia.org/wiki/Mobile_app
REFERENCES
7/29/2019 India-Current Trends in Mobile Apps
30/30