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Global Intelligent Apps Market By Deployment Type (Private, Public, and Hybrid Cloud); By Store-Types ( Apple app store, Google Play, and Others); By Applications(Retail, Healthcare, Education, and Others); By Regions (Americas, EMEA, and, APAC) Drivers, Opportunities, Restraints, Trends, and Forecast to 2023

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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 an 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 a 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 USD 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 the 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 of 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 make 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 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 types, applications, and regions. Further, the report provides details about the major challenges impacting market growth.
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Table Of Content

Scope

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 Figure

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 (USD BILLION) 14

CHART 4 INTELLIGENT APPS MARKET REVENUE, 2017-2023 (USD 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 (USD BILLION) 28

CHART 14 HEALTHCARE MARKET REVENUE, 2017-2023 (USD BILLION) 29

CHART 15 EDUCATION MARKET REVENUE, 2017-2023 (USD BILLION) 30

CHART 16 OTHERS MARKET REVENUE, 2017-2023 (USD BILLION) 31

CHART 17 INTELLIGENT APPS MARKET SHARE BY STORE TYPES, 2017 AND 2023 32

CHART 18 APPLE APP STORE MARKET REVENUE, 2017-2023 (USD BILLION) 33

CHART 19 GOOGLE PLAY MARKET REVENUE, 2017-2023 (USD BILLION) 34

CHART 20 OTHERS MARKET REVENUE, 2017-2023 (USD BILLION) 35

CHART 21 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017 AND 2023 36

CHART 22 PRIVATE CLOUD MARKET REVENUE, 2017-2023 (USD BILLION) 37

CHART 23 PUBLIC CLOUD MARKET REVENUE, 2017-2023 (USD BILLION) 38

CHART 24 HYBRID CLOUD MARKET REVENUE, 2017-2023 (USD BILLION) 38

CHART 25 INTELLIGENT APPS MARKET SHARE BY REGIONS, 2017 AND 2023 40

CHART 26 AMERICAS MARKET REVENUE, 2017-2023 (USD BILLION) 41

CHART 27 EMEA MARKET REVENUE, 2017-2023 (USD BILLION) 44

CHART 28 APAC MARKET REVENUE, 2017-2023 (USD 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

 


List Of Table

Tables

TABLE 1 INTELLIGENT APPS MARKET REVENUE BY APPLICATIONS, 2017-2023 (USD BILLION) 26

TABLE 2 INTELLIGENT APPS MARKET REVENUE BY STORE TYPES, 2017-2023 (USD BILLION) 31

TABLE 3 INTELLIGENT APPS MARKET REVENUE BY DEPLOYMENT TYPES, 2017-2023 (USD BILLION) 35

TABLE 4 INTELLIGENT APPS MARKET REVENUE BY REGIONS, 2017-2023 (USD BILLION) 39

TABLE 5 DRO FOR THE AMERICAS 40

TABLE 6 AMERICAS MARKET REVENUE BY APPLICATIONS, 2017-2023 (USD BILLION) 41

TABLE 7 AMERICAS MARKET REVENUE BY DEPLOYMENT TYPES, 2017-2023 (USD BILLION) 41

TABLE 8 AMERICAS MARKET REVENUE BY STORE TYPES, 2017-2023 (USD BILLION) 41

TABLE 9 DRO FOR EMEA 43

TABLE 10 EMEA MARKET REVENUE BY APPLICATIONS, 2017-2023 (USD BILLION) 44

TABLE 11 EMEA MARKET REVENUE BY DEPLOYMENT TYPES, 2017-2023 (USD BILLION) 44

TABLE 12 EMEA MARKET REVENUE BY STORE TYPES, 2017-2023 (USD BILLION) 44

TABLE 13 DRO FOR APAC 46

TABLE 14 APAC MARKET REVENUE BY APPLICATIONS, 2017-2023 (USD BILLION) 46

TABLE 15 APAC MARKET REVENUE BY DEPLOYMENT TYPES, 2017-2023 (USD BILLION) 46

TABLE 16 APAC MARKET REVENUE BY STORE TYPES, 2017-2023 (USD BILLION) 47

 

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Products and Companies


Companies

Google Inc., Microsoft Corporation, Opera Software, Cognizant, Hewlett Packard Enterprise, Development LP, SAP SE, China Mobile Limited, Samsung Electronics Co. Ltd., Apple Inc