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Global Intelligent Apps Market-Drivers, Opportunities, Restraints, Trends, and Forecast to 2023

Published Date: April 2019
|
Report Code: INFO-Othe-327
Home | Category |Business & Industrial
Global Intelligent Apps Market Forecast to 2023

Global Intelligent Apps Market-Drivers, Opportunities, Restraints, Trends, and Forecast to 2023

Code: INFO-Othe-327
Report
April 2019
67 Pages
Infoholic Research
Region: EMEA, Asia Pacific, North America,
Description
Table of Content
Tables & Figures

Intelligent Apps Market: Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023
Overview:
Intelligent apps are mainly driven by artificial intelligence (AI) and machine learning and they are no longer a innovative technology, rather than, it has become a present-day necessity that every enterprise must get on board with sooner rather than later if they want to compete and attract and retain top talent. With benefits abundantly, ‘smart apps’ can accelerate business transformation and deliver new insights, while releasing next level productivity.
Intelligent Apps is primarily a process, which uses machine-learning technology for developing these apps using historical and real-time data for predictions and decisions to offer rich, interactive and personalized experience to the users. In addition, various search engines like Google and Bing, media service providers like Spotify and Netflix are some of the many intelligent apps users are interacting with. Machine learning technology empowering intelligent apps has become a mainstream stage for this ecosystem.
Market Analysis:
According to Infoholic Research, the Global intelligent Apps Market is expected to reach $123.89 billion by 2023, growing at a CAGR of around 69.28% during the forecast period. The market is experiencing growth mainly due to the increase in the need for advanced analytical tools, advancement in technology with related to new product development, and increased market for big data & analytics drive the global intelligent apps market. Though, with the of low awareness level among the consumers about products and services, and is expected to hamper the market growth. In addition, with the increase in the adoption of intelligent apps among developing economies offers a major opportunity for market expansion.
Market Segmentation Analysis:
The report provides a wide-ranging evaluation of the market. It provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendors presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, type, applications, and end-users.
Countries and Vertical Analysis:
The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The key and the prominent vendors covered in the report include Google Inc., Microsoft Corporation, Opera Software, Cognizant, Hewlett Packard Enterprise, Development LP, SAP SE, China Mobile Limited, Samsung Electronics Co. Ltd., Apple Inc., and others. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
The counties covered in report are the US, Canada, Mexico, the UK, France, Germany, India, China, and, Japan. Among these, Japan, the US, and China are expected to grow at a high rate during the forecast period (2017-2023) owing to an increase in the penetration rate of connected devices and growing adoption of cloud computing.
Competitive Analysis
The report covers and analyses the Global intelligent apps market Market. Various strategies, such as joint ventures, partnerships, collaborations, and contracts, have been considered. In addition, as customers are in search for better solutions, there is expected to be a rising number of partnerships. There is likely to be an increase in the number of mergers, acquisitions, and strategic partnership during the forecast period.
The report includes the complete insight of the industry, and aims to provide an opportunity for the emerging and established players to understand the market trends, current scenario, initiatives taken by the government, and the latest technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.
Regional Analysis
The Americas market is leading in the global intelligent market as most of the large organizations have their headquarters located here. The region is the largest base for the technological innovations and adoption. Many of these pure-play providers are family owned and focus on particular products for specific industries or applications, which makes up the majority of the automation companies.
EMEA is one the major investor for the technological innovations among all other regions and stands next to the Americas and APAC. The region is one of the most digital and interconnected societies in the world; this is leading to increased demand for intelligent apps. In addition, Asia Pacific is a developing region with a lot of opportunities for the growing consumer electronics market.
Benefits
The report provides an in-depth analysis of the Global intelligent apps Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance. With the help of mobile apps, and intelligent apps, various organizations can load their crucial information, and increase productivity and efficiency. In addition, the solutions are proven to be reliable and improve scalability. The report discusses about types, applications, and regions. Further, the report provides details about the major challenges impacting the market growth.

Table of Contents


1 Industry Outlook 8
1.1 Industry Overview 8
1.2 Industry Trends 8
1.3 PEST Analysis 9
2 Report Outline 10
2.1 Report Scope 10
2.2 Report Summary 10
2.3 Research Methodology 11
2.4 Report Assumptions 12
3 Market Snapshot 13
3.1 Total Addressable Market 13
3.2 Segmented Addressable Market 14
3.3 Related Markets 15
3.3.1 Intelligent Agents 15
3.3.2 Virtual Assistant 16
4 Market Outlook 17
4.1 Overview 17
4.1.1 Market Definition – Infoholic Research 17
4.2 Market Trends and Impact 18
4.3 Market Segmentation 18
4.4 Porter 5 (Five) Forces 18
5 Market Characteristics 20
5.1 Evolution 20
5.2 Value Chain 20
5.3 Benefits and Challenges of Intelligent Apps 21
5.4 Factors Influencing the Choice of Intelligent Apps 21
5.5 Market Dynamics 22
5.5.1 Drivers 22
5.5.1.1 Affordability of smartphones 22
5.5.1.2 Increasing Internet penetration 22
5.5.1.3 Adoption of digital lifestyle 23
5.5.1.4 Increase in the development of new technologies 23
5.5.2 Restraints 23
5.5.2.1 Battery drain 23
5.5.2.2 Security and privacy 23
5.5.2.3 Low awareness 24
5.5.3 Opportunities 24
5.5.3.1 Increasing number of smartphones 24
5.5.3.2 Growing demand for analytics 24
5.5.3.3 Opportunities from developing economies 24
5.6 DRO – Impact Analysis 25
6 Applications: Market Size and Analysis 26
6.1 Overview 26
6.2 Retail 26
6.2.1 Market Size and Analysis 27
6.3 Healthcare 27
6.3.1 Market Size and Analysis 28
6.4 Education 28
6.4.1 Market Size and Analysis 29
6.5 Others 29
6.5.1 Market Size and Analysis 30
7 Store Types: Market Size and Analysis 31
7.1 Overview 31
7.2 Apple App Store 31
7.3 Google Play 32
7.4 Others 33
8 Deployment Types: Market Size and Analysis 35
8.1 Overview 35
8.2 Private Cloud 36
8.3 Public Cloud 36
8.4 Hybrid Cloud 37
9 Regions 39
9.1 Overview 39
9.2 Americas 39
9.2.1 Market Size and Analysis 40
9.2.2 DRO for the Americas 40
9.2.3 US 42
9.2.4 Canada 42
9.2.5 Brazil 42
9.3 EMEA 42
9.3.1 Market Size and Analysis 43
9.3.2 DRO for EMEA 43
9.3.3 UK 44
9.3.4 France 45
9.3.5 Germany 45
9.4 Asia Pacific 45
9.4.1 Market Size and Analysis 45
9.4.2 DRO for APAC 46
9.4.3 India 47
9.4.4 China 47
9.4.5 Japan 47
10 Vendor Profiles 48
10.1 Google Inc. 48
10.1.1 Overview 48
10.1.2 Business Units 49
10.1.3 Geographic Revenue 49
10.1.4 Business Focus 50
10.1.5 SWOT Analysis 50
10.1.6 Business Strategies 51
10.2 Microsoft Corporation 51
10.2.1 Overview 51
10.2.2 Business Focus 53
10.2.3 SWOT Analysis 53
10.2.4 Business Strategies 53
10.3 Hewlett Packard Enterprise 54
10.3.1 Overview 54
10.3.2 Business Units 54
10.3.3 Geographic Revenue 55
10.3.4 Business Focus 55
10.3.5 SWOT Analysis 56
10.3.6 Business Strategies 56
10.4 Apple Inc. 57
10.4.1 Overview 57
10.4.2 Business Units 58
10.4.3 Geographic Revenue 61
10.4.4 Business Focus 61
10.4.5 SWOT Analysis 61
10.4.6 Business Strategies 62
10.5 SAP SE 62
10.5.1 Overview 62
10.5.2 Business Focus 63
10.5.3 Business Strategies 64
11 Global Generalist 65
11.1 Opera Software 65
11.2 Cognizant 65
11.3 China Mobile Limited 65
11.4 Samsung Electronics Co. Ltd. 65
Annexure 66
Abbreviations 66

List of Tables

TABLE 1 INTELLIGENT APPS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 26
TABLE 2 INTELLIGENT APPS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 31
TABLE 3 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 35
TABLE 4 INTELLIGENT APPS MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION) 39
TABLE 5 DRO FOR THE AMERICAS 40
TABLE 6 AMERICAS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 41
TABLE 7 AMERICAS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 41
TABLE 8 AMERICAS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 41
TABLE 9 DRO FOR EMEA 43
TABLE 10 EMEA MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 44
TABLE 11 EMEA MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 44
TABLE 12 EMEA MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 44
TABLE 13 DRO FOR APAC 46
TABLE 14 APAC MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 46
TABLE 15 APAC MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 46
TABLE 16 APAC MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 47

LIst of Charts


CHART 1 PEST ANALYSIS OF INTELLIGENT APPS MARKET 10
CHART 2 RESEARCH METHODOLOGY OF INTELLIGENT APPS MARKET 12
CHART 3 MOBILE APPS MARKET REVENUE, 2017–2023 ($BILLION) 14
CHART 4 INTELLIGENT APPS MARKET REVENUE, 2017–2023 ($BILLION) 15
CHART 5 INTELLIGENT APPS MARKET SEGMENTATION 19
CHART 6 PORTER 5 FORCES OF INTELLIGENT APPS MARKET 19
CHART 7 EVOLUTION OF INTELLIGENT APPS MARKET 21
CHART 8 VALUE CHAIN OF INTELLIGENT APPS MARKET 21
CHART 9 FACTORS AFFECTING THE CHOICE OF INTELLIGENT APPS SOLUTIONS 22
CHART 10 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES 23
CHART 11 DRO – IMPACT ANALYSIS OF INTELLIGENT APPS MARKET 26
CHART 12 INTELLIGENT APPS MARKET SHARE BY APPLICATIONS, 2017 AND 2023 27
CHART 13 RETAIL MARKET REVENUE, 2017–2023 ($BILLION) 28
CHART 14 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION) 29
CHART 15 EDUCATION MARKET REVENUE, 2017–2023 ($BILLION) 30
CHART 16 OTHERS MARKET REVENUE, 2017–2023 ($BILLION) 31
CHART 17 INTELLIGENT APPS MARKET SHARE BY STORE TYPES, 2017 AND 2023 32
CHART 18 APPLE APP STORE MARKET REVENUE, 2017–2023 ($BILLION) 33
CHART 19 GOOGLE PLAY MARKET REVENUE, 2017–2023 ($BILLION) 34
CHART 20 OTHERS MARKET REVENUE, 2017–2023 ($BILLION) 35
CHART 21 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017 AND 2023 36
CHART 22 PRIVATE CLOUD MARKET REVENUE, 2017–2023 ($BILLION) 37
CHART 23 PUBLIC CLOUD MARKET REVENUE, 2017–2023 ($BILLION) 38
CHART 24 HYBRID CLOUD MARKET REVENUE, 2017–2023 ($BILLION) 38
CHART 25 INTELLIGENT APPS MARKET SHARE BY REGIONS, 2017 AND 2023 40
CHART 26 AMERICAS MARKET REVENUE, 2017–2023 ($BILLION) 41
CHART 27 EMEA MARKET REVENUE, 2017–2023 ($BILLION) 44
CHART 28 APAC MARKET REVENUE, 2017–2023 ($BILLION) 46
CHART 29 GOOGLE INC.: OVERVIEW SNAPSHOT 49
CHART 30 GOOGLE INC.: BUSINESS UNITS 50
CHART 31 GOOGLE INC.: GEOGRAPHIC REVENUE 50
CHART 32 GOOGLE INC.: SWOT ANALYSIS 51
CHART 33 MICROSOFT CORPORATION: OVERVIEW SNAPSHOT 53
CHART 34 MICROSOFT CORPORATION: SWOT ANALYSIS 54
CHART 35 HP: OVERVIEW SNAPSHOT 55
CHART 36 HP: BUSINESS UNITS 55
CHART 37 HP: GEOGRAPHIC REVENUE 56
CHART 38 HP: SWOT ANALYSIS 57
CHART 39 APPLE INC.: OVERVIEW SNAPSHOT 58
CHART 40 APPLE INC.: BUSINESS UNITS 59
CHART 41 APPLE INC.: GEOGRAPHIC REVENUE 62
CHART 42 APPLE INC.: SWOT ANALYSIS 62
CHART 43 SAP SE: OVERVIEW SNAPSHOT 64

Intelligent Apps Market: Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023
Overview:
Intelligent apps are mainly driven by artificial intelligence (AI) and machine learning and they are no longer a innovative technology, rather than, it has become a present-day necessity that every enterprise must get on board with sooner rather than later if they want to compete and attract and retain top talent. With benefits abundantly, ‘smart apps’ can accelerate business transformation and deliver new insights, while releasing next level productivity.
Intelligent Apps is primarily a process, which uses machine-learning technology for developing these apps using historical and real-time data for predictions and decisions to offer rich, interactive and personalized experience to the users. In addition, various search engines like Google and Bing, media service providers like Spotify and Netflix are some of the many intelligent apps users are interacting with. Machine learning technology empowering intelligent apps has become a mainstream stage for this ecosystem.
Market Analysis:
According to Infoholic Research, the Global intelligent Apps Market is expected to reach $123.89 billion by 2023, growing at a CAGR of around 69.28% during the forecast period. The market is experiencing growth mainly due to the increase in the need for advanced analytical tools, advancement in technology with related to new product development, and increased market for big data & analytics drive the global intelligent apps market. Though, with the of low awareness level among the consumers about products and services, and is expected to hamper the market growth. In addition, with the increase in the adoption of intelligent apps among developing economies offers a major opportunity for market expansion.
Market Segmentation Analysis:
The report provides a wide-ranging evaluation of the market. It provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendors presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, type, applications, and end-users.
Countries and Vertical Analysis:
The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The key and the prominent vendors covered in the report include Google Inc., Microsoft Corporation, Opera Software, Cognizant, Hewlett Packard Enterprise, Development LP, SAP SE, China Mobile Limited, Samsung Electronics Co. Ltd., Apple Inc., and others. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
The counties covered in report are the US, Canada, Mexico, the UK, France, Germany, India, China, and, Japan. Among these, Japan, the US, and China are expected to grow at a high rate during the forecast period (2017-2023) owing to an increase in the penetration rate of connected devices and growing adoption of cloud computing.
Competitive Analysis
The report covers and analyses the Global intelligent apps market Market. Various strategies, such as joint ventures, partnerships, collaborations, and contracts, have been considered. In addition, as customers are in search for better solutions, there is expected to be a rising number of partnerships. There is likely to be an increase in the number of mergers, acquisitions, and strategic partnership during the forecast period.
The report includes the complete insight of the industry, and aims to provide an opportunity for the emerging and established players to understand the market trends, current scenario, initiatives taken by the government, and the latest technologies related to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.
Regional Analysis
The Americas market is leading in the global intelligent market as most of the large organizations have their headquarters located here. The region is the largest base for the technological innovations and adoption. Many of these pure-play providers are family owned and focus on particular products for specific industries or applications, which makes up the majority of the automation companies.
EMEA is one the major investor for the technological innovations among all other regions and stands next to the Americas and APAC. The region is one of the most digital and interconnected societies in the world; this is leading to increased demand for intelligent apps. In addition, Asia Pacific is a developing region with a lot of opportunities for the growing consumer electronics market.
Benefits
The report provides an in-depth analysis of the Global intelligent apps Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance. With the help of mobile apps, and intelligent apps, various organizations can load their crucial information, and increase productivity and efficiency. In addition, the solutions are proven to be reliable and improve scalability. The report discusses about types, applications, and regions. Further, the report provides details about the major challenges impacting the market growth.

Read More

Table of Contents


1 Industry Outlook 8
1.1 Industry Overview 8
1.2 Industry Trends 8
1.3 PEST Analysis 9
2 Report Outline 10
2.1 Report Scope 10
2.2 Report Summary 10
2.3 Research Methodology 11
2.4 Report Assumptions 12
3 Market Snapshot 13
3.1 Total Addressable Market 13
3.2 Segmented Addressable Market 14
3.3 Related Markets 15
3.3.1 Intelligent Agents 15
3.3.2 Virtual Assistant 16
4 Market Outlook 17
4.1 Overview 17
4.1.1 Market Definition – Infoholic Research 17
4.2 Market Trends and Impact 18
4.3 Market Segmentation 18
4.4 Porter 5 (Five) Forces 18
5 Market Characteristics 20
5.1 Evolution 20
5.2 Value Chain 20
5.3 Benefits and Challenges of Intelligent Apps 21
5.4 Factors Influencing the Choice of Intelligent Apps 21
5.5 Market Dynamics 22
5.5.1 Drivers 22
5.5.1.1 Affordability of smartphones 22
5.5.1.2 Increasing Internet penetration 22
5.5.1.3 Adoption of digital lifestyle 23
5.5.1.4 Increase in the development of new technologies 23
5.5.2 Restraints 23
5.5.2.1 Battery drain 23
5.5.2.2 Security and privacy 23
5.5.2.3 Low awareness 24
5.5.3 Opportunities 24
5.5.3.1 Increasing number of smartphones 24
5.5.3.2 Growing demand for analytics 24
5.5.3.3 Opportunities from developing economies 24
5.6 DRO – Impact Analysis 25
6 Applications: Market Size and Analysis 26
6.1 Overview 26
6.2 Retail 26
6.2.1 Market Size and Analysis 27
6.3 Healthcare 27
6.3.1 Market Size and Analysis 28
6.4 Education 28
6.4.1 Market Size and Analysis 29
6.5 Others 29
6.5.1 Market Size and Analysis 30
7 Store Types: Market Size and Analysis 31
7.1 Overview 31
7.2 Apple App Store 31
7.3 Google Play 32
7.4 Others 33
8 Deployment Types: Market Size and Analysis 35
8.1 Overview 35
8.2 Private Cloud 36
8.3 Public Cloud 36
8.4 Hybrid Cloud 37
9 Regions 39
9.1 Overview 39
9.2 Americas 39
9.2.1 Market Size and Analysis 40
9.2.2 DRO for the Americas 40
9.2.3 US 42
9.2.4 Canada 42
9.2.5 Brazil 42
9.3 EMEA 42
9.3.1 Market Size and Analysis 43
9.3.2 DRO for EMEA 43
9.3.3 UK 44
9.3.4 France 45
9.3.5 Germany 45
9.4 Asia Pacific 45
9.4.1 Market Size and Analysis 45
9.4.2 DRO for APAC 46
9.4.3 India 47
9.4.4 China 47
9.4.5 Japan 47
10 Vendor Profiles 48
10.1 Google Inc. 48
10.1.1 Overview 48
10.1.2 Business Units 49
10.1.3 Geographic Revenue 49
10.1.4 Business Focus 50
10.1.5 SWOT Analysis 50
10.1.6 Business Strategies 51
10.2 Microsoft Corporation 51
10.2.1 Overview 51
10.2.2 Business Focus 53
10.2.3 SWOT Analysis 53
10.2.4 Business Strategies 53
10.3 Hewlett Packard Enterprise 54
10.3.1 Overview 54
10.3.2 Business Units 54
10.3.3 Geographic Revenue 55
10.3.4 Business Focus 55
10.3.5 SWOT Analysis 56
10.3.6 Business Strategies 56
10.4 Apple Inc. 57
10.4.1 Overview 57
10.4.2 Business Units 58
10.4.3 Geographic Revenue 61
10.4.4 Business Focus 61
10.4.5 SWOT Analysis 61
10.4.6 Business Strategies 62
10.5 SAP SE 62
10.5.1 Overview 62
10.5.2 Business Focus 63
10.5.3 Business Strategies 64
11 Global Generalist 65
11.1 Opera Software 65
11.2 Cognizant 65
11.3 China Mobile Limited 65
11.4 Samsung Electronics Co. Ltd. 65
Annexure 66
Abbreviations 66

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List of Tables

TABLE 1 INTELLIGENT APPS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 26
TABLE 2 INTELLIGENT APPS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 31
TABLE 3 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 35
TABLE 4 INTELLIGENT APPS MARKET REVENUE BY REGIONS, 2017–2023 ($BILLION) 39
TABLE 5 DRO FOR THE AMERICAS 40
TABLE 6 AMERICAS MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 41
TABLE 7 AMERICAS MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 41
TABLE 8 AMERICAS MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 41
TABLE 9 DRO FOR EMEA 43
TABLE 10 EMEA MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 44
TABLE 11 EMEA MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 44
TABLE 12 EMEA MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 44
TABLE 13 DRO FOR APAC 46
TABLE 14 APAC MARKET REVENUE BY APPLICATIONS, 2017–2023 ($BILLION) 46
TABLE 15 APAC MARKET REVENUE BY DEPLOYMENT TYPES, 2017–2023 ($BILLION) 46
TABLE 16 APAC MARKET REVENUE BY STORE TYPES, 2017–2023 ($BILLION) 47

LIst of Charts


CHART 1 PEST ANALYSIS OF INTELLIGENT APPS MARKET 10
CHART 2 RESEARCH METHODOLOGY OF INTELLIGENT APPS MARKET 12
CHART 3 MOBILE APPS MARKET REVENUE, 2017–2023 ($BILLION) 14
CHART 4 INTELLIGENT APPS MARKET REVENUE, 2017–2023 ($BILLION) 15
CHART 5 INTELLIGENT APPS MARKET SEGMENTATION 19
CHART 6 PORTER 5 FORCES OF INTELLIGENT APPS MARKET 19
CHART 7 EVOLUTION OF INTELLIGENT APPS MARKET 21
CHART 8 VALUE CHAIN OF INTELLIGENT APPS MARKET 21
CHART 9 FACTORS AFFECTING THE CHOICE OF INTELLIGENT APPS SOLUTIONS 22
CHART 10 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES 23
CHART 11 DRO – IMPACT ANALYSIS OF INTELLIGENT APPS MARKET 26
CHART 12 INTELLIGENT APPS MARKET SHARE BY APPLICATIONS, 2017 AND 2023 27
CHART 13 RETAIL MARKET REVENUE, 2017–2023 ($BILLION) 28
CHART 14 HEALTHCARE MARKET REVENUE, 2017–2023 ($BILLION) 29
CHART 15 EDUCATION MARKET REVENUE, 2017–2023 ($BILLION) 30
CHART 16 OTHERS MARKET REVENUE, 2017–2023 ($BILLION) 31
CHART 17 INTELLIGENT APPS MARKET SHARE BY STORE TYPES, 2017 AND 2023 32
CHART 18 APPLE APP STORE MARKET REVENUE, 2017–2023 ($BILLION) 33
CHART 19 GOOGLE PLAY MARKET REVENUE, 2017–2023 ($BILLION) 34
CHART 20 OTHERS MARKET REVENUE, 2017–2023 ($BILLION) 35
CHART 21 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017 AND 2023 36
CHART 22 PRIVATE CLOUD MARKET REVENUE, 2017–2023 ($BILLION) 37
CHART 23 PUBLIC CLOUD MARKET REVENUE, 2017–2023 ($BILLION) 38
CHART 24 HYBRID CLOUD MARKET REVENUE, 2017–2023 ($BILLION) 38
CHART 25 INTELLIGENT APPS MARKET SHARE BY REGIONS, 2017 AND 2023 40
CHART 26 AMERICAS MARKET REVENUE, 2017–2023 ($BILLION) 41
CHART 27 EMEA MARKET REVENUE, 2017–2023 ($BILLION) 44
CHART 28 APAC MARKET REVENUE, 2017–2023 ($BILLION) 46
CHART 29 GOOGLE INC.: OVERVIEW SNAPSHOT 49
CHART 30 GOOGLE INC.: BUSINESS UNITS 50
CHART 31 GOOGLE INC.: GEOGRAPHIC REVENUE 50
CHART 32 GOOGLE INC.: SWOT ANALYSIS 51
CHART 33 MICROSOFT CORPORATION: OVERVIEW SNAPSHOT 53
CHART 34 MICROSOFT CORPORATION: SWOT ANALYSIS 54
CHART 35 HP: OVERVIEW SNAPSHOT 55
CHART 36 HP: BUSINESS UNITS 55
CHART 37 HP: GEOGRAPHIC REVENUE 56
CHART 38 HP: SWOT ANALYSIS 57
CHART 39 APPLE INC.: OVERVIEW SNAPSHOT 58
CHART 40 APPLE INC.: BUSINESS UNITS 59
CHART 41 APPLE INC.: GEOGRAPHIC REVENUE 62
CHART 42 APPLE INC.: SWOT ANALYSIS 62
CHART 43 SAP SE: OVERVIEW SNAPSHOT 64

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