CHAPTER 1 INTRODUCTION
1.1. Market Definition
1.2. Executive Summary
1.3. The Scope of the Study
CHAPTER 2 RESEARCH METHODOLOGY
2.1. Secondary Research
2.2. Primary Research
2.3. Analytic Tools and Model
2.4. Economic Indicator
2.4.1 Base Year, Base Currency, Forecasting Period
2.5. Expert Validation
2.6. Study Timeline
CHAPTER 3 MARKET ANALYSIS
3.1. Industry Value Chain Analysis
3.2. Porter's Five Force Analysis
3.2.1. Bargaining Power of Buyers
3.2.2. Bargaining Power of Suppliers
3.2.3. Threats of Substitutes
3.2.4. Threats of New Entrants
3.2.5. Degree of Competition
3.3. PESTLE Analysis
3.3.1. Political
3.3.2. Economical
3.3.3. Social
3.3.4. Technological
3.3.5. Legal
3.3.6. Environmental
3.4. SWOT Analysis
3.4.1. Strengths
3.4.2. Weakness
3.4.3. Opportunities
3.4.4. Threats
3.5. Y-O-Y Analysis
CHAPTER 4 MARKET DYNAMICS
4.1. Market Drivers
4.1.1. Growing focus on effective and real-time mobile advertising
4.1.2. Rising consumer expectations for rich contextual and personalized experience
4.1.3. Increasing use of smartphones driving the demand for greater business mobility
4.1.4. Growing need to offer modified results to end users.
4.2. Market Restraints & Challenges
4.2.1. High cost of implementing AI-based solutions
4.2.2. Concerns over safeguarding customer data
4.3. Market Opportunities
4.3.1. Increasing automation of business processes using chat bots
4.3.2. Shifting trend towards technology
CHAPTER 5 GLOBAL INTELLIGENT APPS MARKET – BY TYPE
5.1. Introduction
5.2. Consumer apps
5.3. Enterprise apps
CHAPTER 6 GLOBAL INTELLIGENT APPS MARKET - BY PROVIDER
6.1. Introduction
6.2. Infrastructure
6.3. Data collection and preparation
6.4. Machine intelligence
CHAPTER 7 GLOBAL INTELLIGENT APPS MARKET - BY SERVICE
7.1. Introduction
7.2. Managed services
7.3. Professional services
CHAPTER 8 GLOBAL INTELLIGENT APPS MARKET - BY STORE TYPE
8.1. Introduction
8.2. Google play
8.3. Apple app store
8.4. Others
CHAPTER 9 GLOBAL INTELLIGENT APPS MARKET - BY DEPLOYMENT MODEL
9.1. Introduction
9.2. Cloud
9.3. On-Premises
CHAPTER 10 GLOBAL INTELLIGENT APPS MARKET - BY END USER
10.1. Introduction
10.2. Banking, financial services, and insurance
10.3. Telecom
10.4. Retail and ecommerce
10.5. Healthcare and life sciences
10.6. Education
10.7. Media and entertainment
10.8. Travel and hospitality
10.9. Others
CHAPTER 11 GLOBAL INTELLIGENT APPS MARKET - BY GEOGRAPHY
11.1. Introduction
11.2. North America
11.2.1. U.S.
11.2.2. Canada
11.2.3. Mexico
11.2.4. Costa Rica
11.3. South America
11.3.1. Brazil
11.3.2. Argentina
11.3.3. Chile
11.3.4. Columbia
11.3.5. Others
11.4. Europe
11.4.1. U.K.
11.4.2. Germany
11.4.3. France
11.4.4. Italy
11.4.5. Spain
11.4.6. Russia
11.4.7. Netherlands
11.4.8. Switzerland
11.4.9. Poland
11.4.10. Others
11.5. Asia Pacific
11.5.1. China
11.5.2. Japan
11.5.3. India
11.5.4. South Korea
11.5.5. Australia & New Zealand
11.5.6. Malaysia
11.5.7. Singapore
11.5.8. Others
11.6. Middle East & Africa
11.6.1. UAE
11.6.2. Saudi Arabia
11.6.3. Iran
11.6.4. Iraq
11.6.5. Qatar
11.6.6. South Africa
11.6.7. Algeria
11.6.8. Morocco
11.6.9. Nigeria
11.6.10. Egypt
11.6.11. Others
CHAPTER 12 GLOBAL INTELLIGENT APPS MARKET - COMPANY PROFILES
12.1. International Business Machines Corporation
12.2. Google LLC
12.3. Apple Inc.
12.4. Microsoft Corporation
12.5. Oracle Corporation
12.6. Baidu, Inc.
12.7. Amazon Web Services
12.8. Salesforce.com, Inc.
12.9. SAP SE
12.10. Service Now, Inc.
12.11. Facebook, Inc.
12.12. Intel Corporation
12.13. Hewlett Packard Enterprise Company
12.14. avaamo Company
12.15. BigML, Inc.
CHAPTER 13 GLOBAL INTELLIGENT APPS MARKET - COMPETITIVE LANDSCAPE
13.1. Market Share Analysis
13.2. Strategies adopted by top companies
13.3. Mergers, Acquisitions, Collaborations & Agreements
CHAPTER 14 MARKET INSIGHTS
14.1. Industry Experts Insights
14.2. Analysts Opinions
14.3. Investment Opportunities
CHAPTER 15 APPENDIX
15.1. List of Tables
15.2. List of Figures
