Market Overview:
The global intelligent apps market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for mobile apps and the growing trend of BYOD (Bring Your Own Device). Additionally, the increasing penetration of smartphones and tablets is also contributing to the growth of this market. The global intelligent apps market by type is segmented into Apple App Store, Google Play, and others. The Apple App Store segment dominates this market with a share of more than 60%. This can be attributed to factors such as ease-of-use, wide range of applications available on it, and high customer base. However, Google Play is expected to grow at a higher CAGR during the forecast period as compared to other segments due its growing popularity in developing countries such as India and China. The global intelligent apps market by application is segmented into retail, healthcare, education sector,,and others segments. The retail sector dominates this market with a share more than 50%. This can be attributed due high adoption rate among retailers for various purposes such as marketing their products/services or tracking consumer behavior etc., Retailers are increasingly using mobile applications for better customer engagement which would result in increased sales revenue. Healthcare sector follows next with significant growth rate owing rising awareness about health issues & benefits associated with usage if Intelligent Apps across globe .
Product Definition:
Intelligent Apps are those apps that make use of artificial intelligence and machine learning to provide a better user experience. These apps can understand natural language, identify objects in images, and predict outcomes. The importance of Intelligent Apps is that they can help users do things they couldn't do before, such as getting recommendations for restaurants or finding the best route to a destination. They can also make tasks easier by automating them or providing shortcuts.
Apple App Store:
The Apple App Store is a service provider for mobile applications that provides its users with an easy and effective way to discover, download, update as well as manage the installed applications. The store also offers in-app purchasing facilities to enable users to make purchases from within the application itself. It helps developers earn revenue by offering a cut of each sale made through apps or in-app content.
Google Play:
In the mobile app industry, Google Play is a store that provides apps and games for Android-based smartphones and tablets. It was launched by Google Inc. in March 2012 as an online platform for purchasing mobile applications, as an alternative to Apple’s iOS App Store.
Application Insights:
The retail segment dominated the global intelligent apps market in 2017 and is expected to maintain its lead over the forecast period. The increasing penetration of smartphones has led to a rise in e-commerce activities, which, in turn, has fueled demand for intelligent applications. Moreover, rising adoption of mobile payment systems is further anticipated to propel demand over the coming years.
The healthcare sector accounted for more than 11% share of overall revenue in 2017 owing to an increase in investments by companies such as Google and Apple Inc., among others, into research & development activities pertaining medical intelligence applications. For instance, Google launched a new AI-powered app called TensorFlow Mobile that helps doctors analyze medical images faster through machine learning technology while maintaining full control panel access to them from their Android phones or tablets. Such initiatives are expected drive industry growth over the coming years across various application segments including education and others (logistics/transport etc.).
Regional Analysis:
North America dominated the global intelligent apps market in 2017. The region is expected to maintain its dominance over the forecast period as well. This can be attributed to increasing investments by industry leaders and growing adoption of advanced technologies such as artificial intelligence (AI) and machine learning across various sectors, including healthcare, retail, transportation & logistics (T&L), among others. Moreover, presence of major technology companies such as IBM Corporation; Google LLC; Microsoft Corporation; Amazon Web Services Inc.; Hewlett Packard Enterprise Development LP; Cisco Systems Inc.; among others has contributed significantly toward regional growth.
Asia Pacific is anticipated to grow at a significant rate during the forecast period owing to increasing disposable income levels coupled with rising penetration of internet services in this region which offers numerous opportunities for market players operating across various industries including telecom, IT & electronics, BFSI etc.
Growth Factors:
- Increasing demand for mobile apps with AI capabilities
- Proliferation of AI-powered devices and sensors
- Growing demand for predictive analytics and cognitive services
- Advances in natural language processing (NLP) and machine learning algorithms
- Rising popularity of conversational interfaces
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Apps Market Research Report
By Type
Apple App Store, Google Play, Others
By Application
Retail, Healthcare, Education, Others
By Companies
Google, Microsoft Corporation, Opera Software, Cognizant, Hewlett Packard Enterprise, Development LP, SAP SE, China Mobile Limited, Samsung Electronics, Apple
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
135
Number of Tables & Figures
95
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Apps Market Report Segments:
The global Intelligent Apps market is segmented on the basis of:
Types
Apple App Store, Google Play, Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Retail, Healthcare, Education, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Google
- Microsoft Corporation
- Opera Software
- Cognizant
- Hewlett Packard Enterprise
- Development LP
- SAP SE
- China Mobile Limited
- Samsung Electronics
- Apple
Highlights of The Intelligent Apps Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Apple App Store
- Google Play
- Others
- By Application:
- Retail
- Healthcare
- Education
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Intelligent Apps Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Intelligent Apps are applications that can learn and improve over time. They use artificial intelligence (AI) to make decisions, understand user input, and respond automatically.
Some of the major companies in the intelligent apps market are Google, Microsoft Corporation, Opera Software, Cognizant, Hewlett Packard Enterprise, Development LP, SAP SE, China Mobile Limited, Samsung Electronics, Apple.
The intelligent apps market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Apps Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Intelligent Apps Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Intelligent Apps Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Intelligent Apps Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Intelligent Apps Market Size & Forecast, 2018-2028
4.5.1 Intelligent Apps Market Size and Y-o-Y Growth
4.5.2 Intelligent Apps Market Absolute $ Opportunity
Chapter 5 Global Intelligent Apps Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Intelligent Apps Market Size Forecast by Type
5.2.1 Apple App Store
5.2.2 Google Play
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Intelligent Apps Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Intelligent Apps Market Size Forecast by Applications
6.2.1 Retail
6.2.2 Healthcare
6.2.3 Education
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Apps Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Intelligent Apps Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Intelligent Apps Analysis and Forecast
9.1 Introduction
9.2 North America Intelligent Apps Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Intelligent Apps Market Size Forecast by Type
9.6.1 Apple App Store
9.6.2 Google Play
9.6.3 Others
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Intelligent Apps Market Size Forecast by Applications
9.10.1 Retail
9.10.2 Healthcare
9.10.3 Education
9.10.4 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Intelligent Apps Analysis and Forecast
10.1 Introduction
10.2 Europe Intelligent Apps Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Intelligent Apps Market Size Forecast by Type
10.6.1 Apple App Store
10.6.2 Google Play
10.6.3 Others
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Intelligent Apps Market Size Forecast by Applications
10.10.1 Retail
10.10.2 Healthcare
10.10.3 Education
10.10.4 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Intelligent Apps Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Intelligent Apps Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Intelligent Apps Market Size Forecast by Type
11.6.1 Apple App Store
11.6.2 Google Play
11.6.3 Others
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Intelligent Apps Market Size Forecast by Applications
11.10.1 Retail
11.10.2 Healthcare
11.10.3 Education
11.10.4 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Intelligent Apps Analysis and Forecast
12.1 Introduction
12.2 Latin America Intelligent Apps Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Intelligent Apps Market Size Forecast by Type
12.6.1 Apple App Store
12.6.2 Google Play
12.6.3 Others
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Intelligent Apps Market Size Forecast by Applications
12.10.1 Retail
12.10.2 Healthcare
12.10.3 Education
12.10.4 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Intelligent Apps Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Intelligent Apps Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Intelligent Apps Market Size Forecast by Type
13.6.1 Apple App Store
13.6.2 Google Play
13.6.3 Others
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Intelligent Apps Market Size Forecast by Applications
13.10.1 Retail
13.10.2 Healthcare
13.10.3 Education
13.10.4 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Intelligent Apps Market: Competitive Dashboard
14.2 Global Intelligent Apps Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Google
14.3.2 Microsoft Corporation
14.3.3 Opera Software
14.3.4 Cognizant
14.3.5 Hewlett Packard Enterprise
14.3.6 Development LP
14.3.7 SAP SE
14.3.8 China Mobile Limited
14.3.9 Samsung Electronics
14.3.10 Apple
