Report Content
Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology and forecast parameters
1.3 Data Sources
1.3.1 Secondary
1.3.2 Primary
Chapter 2 Executive Summary
2.1 Intelligent apps industry 360º synopsis, 2016 – 2027
2.2 Business trends
2.3 Regional trends
2.4 Type trends
2.5 Deployment model trends
2.6 Operating system trends
2.7 Application trends
Chapter 3 Intelligent Apps Industry Insights
3.1 Introduction
3.2 Industry segmentation
3.3 Impact of COVID-19 outbreak
3.3.1 By region
3.3.1.1 North America
3.3.1.2 Europe
3.3.1.3 Asia Pacific
3.3.1.4 Latin America
3.3.1.5 Middle East & Africa
3.3.2 Industry value chain
3.3.2.1 Intelligent apps technology providers
3.3.2.2 Marketing & distribution channels
3.3.3 Competitive landscape
3.3.3.1 Strategy
3.3.3.2 Distribution network
3.3.3.3 Business growth
3.4 Intelligent apps industry ecosystem analysis
3.5 Technology & innovation landscape
3.5.1 Chatbots and automation
3.5.2 Artificial Intelligence and Machine Learning
3.5.3 Intelligent virtual assistants
3.6 Regulatory landscape
3.6.1 Standards on Privacy and Web Analytics (Canada)
3.6.2 Health Insurance Portability and Accountability Act (HIPAA) of 1996 (U
3.6.3 General Data Protection Regulation (EU)
3.6.4 Exception of Text & Data Mining (TDM) in Copyright in Digital Single Market (DSM Draft Directive - EU)
3.6.5 Information Security Technology- Personal Information Security Specification GB/T 35273-2017 (China)
3.6.6 The General Data Protection Law (Brazil)
3.7 Industry impact forces
3.7.1 Growth drivers
3.7.1.1 Increasing use of smartphones for enhanced business mobility
3.7.1.2 Growing customer demand for personalized service experience
3.7.1.3 Rising trend of real-time mobile advertising across enterprises
3.7.1.4 Increasing competition among retailers and increasing need for differentiation
3.7.2 Industry pitfalls & challenges
3.7.2.1 Data security and privacy concerns
3.7.2.2 Lack of technical expertise
3.8 Growth potential analysis
3.9 Porter’s analysis
3.10 PESTEL analysis
Chapter 4 Competitive Landscape,
4.1 Introduction
4.2 Company market share, 2020
4.2.1 Competitive analysis of major intelligent app providers, 2020
4.2.1.1 Apple Inc.
4.2.1.2 Amazon Web Services, Inc.
4.2.1.3 Google LLC
4.2.1.4 Oracle Corporation
4.2.1.5 SAP SE
4.2.2 Competitive analysis of other innovative market players, 2019
4.2.2.1 Facebook
4.2.2.2 Hewlett Packard Enterprises Inc.
4.2.2.3 IBM Corporation
4.2.2.4 Salesforce.com, Inc.
4.2.2.5 ServiceNow
Chapter 5 Intelligent Apps Market, By App Type
5.1 Key trends, by app type
5.1.1 Consumer app
5.1.1.1 Market estimates and forecast, 2016 – 2027
5.1.2 Commercial app
5.1.2.1 Market estimates and forecast, 2016 – 2027
Chapter 6 Intelligent Apps Market, By Deployment Model
6.1 Key trends, by deployment model
6.2 On-premise
6.2.1 Market estimates and forecast, 2016 – 2027
6.3 Cloud
6.3.1 Market estimates and forecast, 2016 – 2027
Chapter 7 Intelligent Apps Market, By Operating System
7.1 Key trends, by operating system
7.2 Android
7.2.1 Market estimates and forecast, 2016 – 2027
7.3 iOS
7.3.1 Market estimates and forecast, 2016 – 2027
7.4 Others
7.4.1 Market estimates and forecast, 2016 – 2027
Chapter 8 Intelligent Apps Market, By Application
8.1 Key trends, by application
8.2 Retail & ecommerce
8.2.1 Market estimates and forecast, 2016 – 2027
8.2.2 Market estimates and forecast, by app type, 2016 – 2027
8.3 Manufacturing
8.3.1 Market estimates and forecast, 2016 – 2027
8.3.2 Market estimates and forecast, by app type, 2016 – 2027
8.4 BFSI
8.4.1 Market estimates and forecast, 2016 – 2027
8.4.2 Market estimates and forecast, by app type, 2016 – 2027
8.5 Healthcare
8.5.1 Market estimates and forecast, 2016 – 2027
8.5.2 Market estimates and forecast, by app type, 2016 – 2027
8.6 Education
8.6.1 Market estimates and forecast, 2016 – 2027
8.6.2 Market estimates and forecast, by app type, 2016 – 2027
8.7 Media & entertainment
8.7.1 Market estimates and forecast, 2016 – 2027
8.7.2 Market estimates and forecast, by app type, 2016 – 2027
8.8 Telecom
8.8.1 Market estimates and forecast, 2016 – 2027
8.8.2 Market estimates and forecast, by app type, 2016 – 2027
8.9 Others
8.9.1 Market estimates and forecast, 2016 – 2027
8.9.2 Market estimates and forecast, by app type, 2016 – 2027
Chapter 9 Intelligent Apps Market, By Region
9.1 Key trends, by region
9.2 North America
9.2.1 Market estimates and forecast, 2016 – 2027
9.2.2 Market estimates and forecast, by app type, 2016 – 2027
9.2.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.2.4 Market estimates and forecast, by operating system, 2016 – 2027
9.2.5 Market estimates and forecast, by application, 2016 – 2027
9.2.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.2.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.2.6 U.S.
9.2.6.1 Market estimates and forecast, 2016 – 2027
9.2.6.2 Market estimates and forecast, by app type, 2016 – 2027
9.2.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.2.6.4 Market estimates and forecast, by operating system, 2016 – 2027
9.2.6.5 Market estimates and forecast, by application, 2016 – 2027
9.2.6.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.2.6.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.2.7 Canada
9.2.7.1 Market estimates and forecast, 2016 – 2027
9.2.7.2 Market estimates and forecast, by app type, 2016 – 2027
9.2.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.2.7.4 Market estimates and forecast, by operating system, 2016 – 2027
9.2.7.5 Market estimates and forecast, by application, 2016 – 2027
9.2.7.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.2.7.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.3 Europe
9.3.1 Market estimates and forecast, 2016 – 2027
9.3.2 Market estimates and forecast, by app type, 2016 – 2027
9.3.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.3.4 Market estimates and forecast, by operating system, 2016 – 2027
9.3.5 Market estimates and forecast, by application, 2016 – 2027
9.3.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.3.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.3.6 UK
9.3.6.1 Market estimates and forecast, 2016 – 2027
9.3.6.2 Market estimates and forecast, by app type, 2016 – 2027
9.3.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.3.6.4 Market estimates and forecast, by operating system, 2016 – 2027
9.3.6.5 Market estimates and forecast, by application, 2016 – 2027
9.3.6.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.3.6.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.3.7 Germany
9.3.7.1 Market estimates and forecast, 2016 – 2027
9.3.7.2 Market estimates and forecast, by app type, 2016 – 2027
9.3.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.3.7.4 Market estimates and forecast, by operating system, 2016 – 2027
9.3.7.5 Market estimates and forecast, by application, 2016 – 2027
9.3.7.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.3.7.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.3.8 France
9.3.8.1 Market estimates and forecast, 2016 – 2027
9.3.8.2 Market estimates and forecast, by app type, 2016 – 2027
9.3.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.3.8.4 Market estimates and forecast, by operating system, 2016 – 2027
9.3.8.5 Market estimates and forecast, by application, 2016 – 2027
9.3.8.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.3.8.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.3.9 Spain
9.3.9.1 Market estimates and forecast, 2016 – 2027
9.3.9.2 Market estimates and forecast, by app type, 2016 – 2027
9.3.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.3.9.4 Market estimates and forecast, by operating system, 2016 – 2027
9.3.9.5 Market estimates and forecast, by application, 2016 – 2027
9.3.9.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.3.9.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.3.10 Italy
9.3.10.1 Market estimates and forecast, 2016 – 2027
9.3.10.2 Market estimates and forecast, by app type, 2016 – 2027
9.3.10.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.3.10.4 Market estimates and forecast, by operating system, 2016 – 2027
9.3.10.5 Market estimates and forecast, by application, 2016 – 2027
9.3.10.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.3.10.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.4 Asia Pacific
9.4.1 Market estimates and forecast, 2016 – 2027
9.4.2 Market estimates and forecast, by app type, 2016 – 2027
9.4.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.4.4 Market estimates and forecast, by operating system, 2016 – 2027
9.4.5 Market estimates and forecast, by application, 2016 – 2027
9.4.5.1.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.4.5.1.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.4.6 China
9.4.6.1 Market estimates and forecast, 2016 – 2027
9.4.6.2 Market estimates and forecast, by app type, 2016 – 2027
9.4.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.4.6.4 Market estimates and forecast, by operating system, 2016 – 2027
9.4.6.5 Market estimates and forecast, by application, 2016 – 2027
9.4.6.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.4.6.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.4.7 India
9.4.7.1 Market estimates and forecast, 2016 – 2027
9.4.7.2 Market estimates and forecast, by app type, 2016 – 2027
9.4.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.4.7.4 Market estimates and forecast, by operating system, 2016 – 2027
9.4.7.5 Market estimates and forecast, by application, 2016 – 2027
9.4.7.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.4.7.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.4.8 Japan
9.4.8.1 Market estimates and forecast, 2016 – 2027
9.4.8.2 Market estimates and forecast, by app type, 2016 – 2027
9.4.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.4.8.4 Market estimates and forecast, by operating system, 2016 – 2027
9.4.8.5 Market estimates and forecast, by application, 2016 – 2027
9.4.8.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.4.8.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.4.9 South Korea
9.4.9.1 Market estimates and forecast, 2016 – 2027
9.4.9.2 Market estimates and forecast, by app type, 2016 – 2027
9.4.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.4.9.4 Market estimates and forecast, by operating system, 2016 – 2027
9.4.9.5 Market estimates and forecast, by application, 2016 – 2027
9.4.9.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.4.9.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.4.10 Australia & New Zealand
9.4.10.1 Market estimates and forecast, 2016 – 2027
9.4.10.2 Market estimates and forecast, by app type, 2016 – 2027
9.4.10.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.4.10.4 Market estimates and forecast, by operating system, 2016 – 2027
9.4.10.5 Market estimates and forecast, by application, 2016 – 2027
9.4.10.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.4.10.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.5 Latin America
9.5.1 Market estimates and forecast, 2016 – 2027
9.5.2 Market estimates and forecast, by app type, 2016 – 2027
9.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.5.4 Market estimates and forecast, by operating system, 2016 – 2027
9.5.5 Market estimates and forecast, by application, 2016 – 2027
9.5.5.1.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.5.5.1.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.5.6 Brazil
9.5.6.1 Market estimates and forecast, 2016 – 2027
9.5.6.2 Market estimates and forecast, by app type, 2016 – 2027
9.5.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.5.6.4 Market estimates and forecast, by operating system, 2016 – 2027
9.5.6.5 Market estimates and forecast, by application, 2016 – 2027
9.5.6.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.5.6.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.5.7 Mexico
9.5.7.1 Market estimates and forecast, 2016 – 2027
9.5.7.2 Market estimates and forecast, by app type, 2016 – 2027
9.5.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.5.7.4 Market estimates and forecast, by operating system, 2016 – 2027
9.5.7.5 Market estimates and forecast, by application, 2016 – 2027
9.5.7.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.5.7.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.5.8 Argentina
9.5.8.1 Market estimates and forecast, 2016 – 2027
9.5.8.2 Market estimates and forecast, by app type, 2016 – 2027
9.5.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.5.8.4 Market estimates and forecast, by operating system, 2016 – 2027
9.5.8.5 Market estimates and forecast, by application, 2016 – 2027
9.5.8.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.5.8.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.6 MEA
9.6.1 Market estimates and forecast, 2016 – 2027
9.6.2 Market estimates and forecast, by app type, 2016 – 2027
9.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.6.4 Market estimates and forecast, by operating system, 2016 – 2027
9.6.5 Market estimates and forecast, by application, 2016 – 2027
9.6.5.1.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.6.5.1.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.6.6 South Africa
9.6.6.1 Market estimates and forecast, 2016 – 2027
9.6.6.2 Market estimates and forecast, by app type, 2016 – 2027
9.6.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.6.6.4 Market estimates and forecast, by operating system, 2016 – 2027
9.6.6.5 Market estimates and forecast, by application, 2016 – 2027
9.6.6.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.6.6.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.6.7 UAE
9.6.7.1 Market estimates and forecast, 2016 – 2027
9.6.7.2 Market estimates and forecast, by app type, 2016 – 2027
9.6.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.6.7.4 Market estimates and forecast, by operating system, 2016 – 2027
9.6.7.5 Market estimates and forecast, by application, 2016 – 2027
9.6.7.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.6.7.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
9.6.8 Saudi Arabia
9.6.8.1 Market estimates and forecast, 2016 – 2027
9.6.8.2 Market estimates and forecast, by app type, 2016 – 2027
9.6.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
9.6.8.4 Market estimates and forecast, by operating system, 2016 – 2027
9.6.8.5 Market estimates and forecast, by application, 2016 – 2027
9.6.8.5.1 Market estimates and forecast, by consumer app type, 2016 – 2027
9.6.8.5.2 Market estimates and forecast, by commercial app type, 2016 – 2027
Chapter 10 Company Profiles
10.1 Avaamo
10.1.1 Business Overview
10.1.2 Financial Data
10.1.3 Product Landscape
10.1.4 Go to market strategy
10.1.5 SWOT Analysis
10.2 Apple Inc.
10.2.1 Business Overview
10.2.2 Financial Data
10.2.3 Product Landscape
10.2.4 Go to market strategy
10.2.5 SWOT Analysis
10.3 Amazon Web Services Inc.
10.3.1 Business Overview
10.3.2 Financial Data
10.3.3 Product Landscape
10.3.4 Go to market strategy
10.3.5 SWOT Analysis
10.4 Baidu Inc.
10.4.1 Business Overview
10.4.2 Financial Data
10.4.3 Product Landscape
10.4.4 Go to market strategy
10.4.5 SWOT Analysis
10.5 BigML
10.5.1 Business Overview
10.5.2 Financial Data
10.5.3 Product Landscape
10.5.4 Go to market strategy
10.5.5 SWOT Analysis
10.6 Facebook
10.6.1 Business Overview
10.6.2 Financial Data
10.6.3 Product Landscape
10.6.4 Go to market strategy
10.6.5 SWOT Analysis
10.7 Google LLC
10.7.1 Business Overview
10.7.2 Financial Data
10.7.3 Product Landscape
10.7.4 Go to market strategy
10.7.5 SWOT Analysis
10.8 Hewlett Packard Enterprises Inc.
10.8.1 Business Overview
10.8.2 Financial Data
10.8.3 Product Landscape
10.8.4 Go to market strategy
10.8.5 SWOT Analysis
10.9 IBM Corporation
10.9.1 Business Overview
10.9.2 Financial Data
10.9.3 Product Landscape
10.9.4 Go to market strategy
10.9.5 SWOT Analysis
10.10 Intel Corporation
10.10.1 Business Overview
10.10.2 Financial Data
10.10.3 Product Landscape
10.10.4 Go to market strategy
10.10.5 SWOT Analysis
10.11 Oracle Corporation
10.11.1 Business Overview
10.11.2 Financial Data
10.11.3 Product Landscape
10.11.4 Go to market strategy
10.11.5 SWOT Analysis
10.12 Salesforce.com, Inc.
10.12.1 Business Overview
10.12.2 Financial Data
10.12.3 Product Landscape
10.12.4 Go to market strategy
10.12.5 SWOT Analysis
10.13 SAP SE
10.13.1 Business Overview
10.13.2 Financial Data
10.13.3 Product Landscape
10.13.4 Go to market strategy
10.13.5 SWOT Analysis
10.14 ServiceNow
10.14.1 Business Overview
10.14.2 Financial Data
10.14.3 Product Landscape
10.14.4 Go to market strategy
10.14.5 SWOT Analysis
10.15 Sentient Technologies
10.15.1 Business Overview
10.15.2 Financial Data
10.15.3 Product Landscape
10.15.4 Go to market strategy
10.15.5 SWOT Analysis
