Intelligent Apps Market
Intelligent Apps Market Forecasts to 2028 – Global Analysis By Provider (Infrastructure, Data Collection and Preparation, Machine Intelligence), Service (Professional Services, Managed Services), and By Geography
According to Stratistics MRC, the Global Intelligent Apps Market is accounted for $16.67 billion in 2020 and is expected to reach $149.03 billion by 2028 growing at a CAGR of 31.5% during the forecast period. Growing desire for advanced analytical tools, advancements in technology on deploying new product, and heightened market for big data & analytics are the major factors propelling the market growth. However, fragmentation in mobile operating systems and high cost of implementing AI-based solutions are hampering the market growth.
Intelligent application refers to an application that recommends and predicts the data which gives long lasting impact on an individual by making the use of real time and historic information in the device and cloud memory. The application assists in solving the issue without any command of the user. The task is performed in accordance with the artificial intelligence and data analytics. These applications are extensively used by individuals and business enterprises.
Based on application, the media and entertainment segment is estimated to have a lucrative growth due to the increasing number of people subscribing to OTT platforms. The broadcast and media companies are actively seeking to extend their content reach to the right where it is needed. Manual tagging of content is close to impossible with the time, as they need to process the massive volume of data. Hence, companies are making efforts to deploy or develop intelligent applications for users with value-added experiences.
By geography, North America is going to have a lucrative growth during the forecast period due to the growing software development and innovation. Companies including Microsoft, Google, IBM, and Oracle are some of the major companies offering intelligent apps based in the region. Microsoft Corporation's Cortana is one of the best intelligent apps being used in daily lives. The app is a personal assistant app offering functionalities such as keeping track of important files and documents, setting reminders, etc.
Some of the key players profiled in the Intelligent Apps Market include IBM, Aibrain, Apple Inc, AWS, Baidu, Cloudminds, Cognizant, Facebook, Google Inc, Hewlett Packard Enterprise, Intel, Microsoft Corporation, Oracle, Salesforce, Samsung Electronics Co. Ltd, SAP SE, and Sentient Technologies.
Types Covered:
• Consumer Apps
• Enterprise Apps
Storage Types Covered:
• Google Play
• Apple App Store
• Other Storage Type
Providers Covered:
• Infrastructure
• Data Collection and Preparation
• Machine Intelligence
Services Covered:
• Professional Services
• Managed Services
Operating Systems Covered:
• iOS
• Android
Applications Covered:
• Banking, Financial Services, and Insurance (BFSI)
• Telecom
• Retail and eCommerce
• Healthcare and Lifer Sciences
• Education
• Media and Entertainment
• Travel and Hospitality
• Energy and Utilities
• Transportation and Logistics
• Manufacturing
Deployment Modes Covered:
• Cloud
• On-Premises
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2019, 2020, 2021, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Intelligent Apps Market, By Type
5.1 Introduction
5.2 Consumer Apps
5.3 Enterprise Apps
6 Global Intelligent Apps Market, By Storage Type
6.1 Introduction
6.2 Google Play
6.3 Apple App Store
6.4 Other Storage Type
6.4.1 Amazon App Store
6.4.2 SlideME
6.4.3 Baidu App Store
6.4.4 Samsung Galaxy Store
7 Global Intelligent Apps Market, By Provider
7.1 Introduction
7.2 Infrastructure
7.3 Data Collection and Preparation
7.4 Machine Intelligence
8 Global Intelligent Apps Market, By Service
8.1 Introduction
8.2 Professional Services
8.3 Managed Services
9 Global Intelligent Apps Market, By Operating System
9.1 Introduction
9.2 iOS
9.3 Android
10 Global Intelligent Apps Market, By Application
10.1 Introduction
10.2 Banking, Financial Services, and Insurance (BFSI)
10.3 Telecom
10.4 Retail and eCommerce
10.5 Healthcare and Lifer Sciences
10.6 Education
10.7 Media and Entertainment
10.8 Travel and Hospitality
10.9 Energy and Utilities
10.10 Transportation and Logistics
10.11 Manufacturing
11 Global Intelligent Apps Market, By Deployment Mode
11.1 Introduction
11.2 Cloud
11.3 On-Premises
12 Global Intelligent Apps Market, By Geography
12.1 Introduction
12.2 North America
12.2.1 US
12.2.2 Canada
12.2.3 Mexico
12.3 Europe
12.3.1 Germany
12.3.2 UK
12.3.3 Italy
12.3.4 France
12.3.5 Spain
12.3.6 Rest of Europe
12.4 Asia Pacific
12.4.1 Japan
12.4.2 China
12.4.3 India
12.4.4 Australia
12.4.5 New Zealand
12.4.6 South Korea
12.4.7 Rest of Asia Pacific
12.5 South America
12.5.1 Argentina
12.5.2 Brazil
12.5.3 Chile
12.5.4 Rest of South America
12.6 Middle East & Africa
12.6.1 Saudi Arabia
12.6.2 UAE
12.6.3 Qatar
12.6.4 South Africa
12.6.5 Rest of Middle East & Africa
13 Key Developments
13.1 Agreements, Partnerships, Collaborations and Joint Ventures
13.2 Acquisitions & Mergers
13.3 New Product Launch
13.4 Expansions
13.5 Other Key Strategies
14 Company Profiling
14.1 IBM
14.2 Aibrain
14.3 Apple Inc.
14.4 AWS
14.5 Baidu
14.6 Cloudminds
14.7 Cognizant
14.8 Facebook
14.9 Google Inc.
14.10 Hewlett Packard Enterprise
14.11 Intel
14.12 Microsoft Corporation
14.13 Oracle
14.14 Salesforce
14.15 Samsung Electronics Co. Ltd.
14.16 SAP SE
14.17 Sentient Technologies
List of Tables
1 Global Intelligent Apps Market Outlook, By Region (2019-2028) ($MN)
2 Global Intelligent Apps Market Outlook, By Type (2019-2028) ($MN)
3 Global Intelligent Apps Market Outlook, By Consumer Apps (2019-2028) ($MN)
4 Global Intelligent Apps Market Outlook, By Enterprise Apps (2019-2028) ($MN)
5 Global Intelligent Apps Market Outlook, By Storage Type (2019-2028) ($MN)
6 Global Intelligent Apps Market Outlook, By Google Play (2019-2028) ($MN)
7 Global Intelligent Apps Market Outlook, By Apple App Store (2019-2028) ($MN)
8 Global Intelligent Apps Market Outlook, By Other Storage Type (2019-2028) ($MN)
9 Global Intelligent Apps Market Outlook, By Amazon App Store (2019-2028) ($MN)
10 Global Intelligent Apps Market Outlook, By SlideME (2019-2028) ($MN)
11 Global Intelligent Apps Market Outlook, By Baidu App Store (2019-2028) ($MN)
12 Global Intelligent Apps Market Outlook, By Samsung Galaxy Store (2019-2028) ($MN)
13 Global Intelligent Apps Market Outlook, By Provider (2019-2028) ($MN)
14 Global Intelligent Apps Market Outlook, By Infrastructure (2019-2028) ($MN)
15 Global Intelligent Apps Market Outlook, By Data Collection and Preparation (2019-2028) ($MN)
16 Global Intelligent Apps Market Outlook, By Machine Intelligence (2019-2028) ($MN)
17 Global Intelligent Apps Market Outlook, By Service (2019-2028) ($MN)
18 Global Intelligent Apps Market Outlook, By Professional Services (2019-2028) ($MN)
19 Global Intelligent Apps Market Outlook, By Managed Services (2019-2028) ($MN)
20 Global Intelligent Apps Market Outlook, By Operating System (2019-2028) ($MN)
21 Global Intelligent Apps Market Outlook, By iOS (2019-2028) ($MN)
22 Global Intelligent Apps Market Outlook, By Android (2019-2028) ($MN)
23 Global Intelligent Apps Market Outlook, By Application (2019-2028) ($MN)
24 Global Intelligent Apps Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2019-2028) ($MN)
25 Global Intelligent Apps Market Outlook, By Telecom (2019-2028) ($MN)
26 Global Intelligent Apps Market Outlook, By Retail and eCommerce (2019-2028) ($MN)
27 Global Intelligent Apps Market Outlook, By Healthcare and Lifer Sciences (2019-2028) ($MN)
28 Global Intelligent Apps Market Outlook, By Education (2019-2028) ($MN)
29 Global Intelligent Apps Market Outlook, By Media and Entertainment (2019-2028) ($MN)
30 Global Intelligent Apps Market Outlook, By Travel and Hospitality (2019-2028) ($MN)
31 Global Intelligent Apps Market Outlook, By Energy and Utilities (2019-2028) ($MN)
32 Global Intelligent Apps Market Outlook, By Transportation and Logistics (2019-2028) ($MN)
33 Global Intelligent Apps Market Outlook, By Manufacturing (2019-2028) ($MN)
34 Global Intelligent Apps Market Outlook, By Deployment Mode (2019-2028) ($MN)
35 Global Intelligent Apps Market Outlook, By Cloud (2019-2028) ($MN)
36 Global Intelligent Apps Market Outlook, By On-Premises (2019-2028) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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