Global Intelligent Apps

Intelligent Apps Comprehensive Study by Type (Consumer Apps, Enterprise Apps), Industry Verticals (BFSI, Telecom, Retail and eCommerce, Healthcare and Lifer Sciences, Education, Media and Entertainment, Travel and Hospitality, Others), Store (Google Play, Apple App Store, Others), Providers (Infrastructure, Data Collection and Preparation, Machine Intelligence) Players and Region - Global Market Outlook to 2028

Intelligent Apps Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Intelligent applications are available in different types in the market to provide real-time data. Intelligent applications are booming with the development of the mobile industry. These applications used for various applications such as personal use, enterprise applications, and others. The companies are highly focusing on technology development such as artificial intelligence and others.This growth is primarily driven by The Rise in Utilization of Smartphones Driving the Requirement for Greater Business Mobility .

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Volume UnitN
Value UnitUSD (Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Application Software sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as IBM (United States), Google (United States), AWS (United States), Microsoft (United States), Salesforce (United States), Oracle (United States), Apple (United States), Baidu (China), SAP SE (Germany) and ServiceNow (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In November 2020, IBM acquired Instana, an application performance monitoring and Observability Company. It helped company to manage the complexity of modern applications that span the hybrid cloud landscape and infuse AI in all areas of IT management. This acquired helped company to expand its presence in intelligent apps market.
In Apr 2020, Celonis announced the launch of the next generation of its platform, enabling customers. The company is a technology-leading company. Through initiative, the company is enhancing its market competency.The market players are exploring their footprints in new geographic regions by adopting market growth strategies mergers & acquisitions, expansions, investments, new product launches, and collaborations as their key strategies. The market players are exploring new areas through expansions and acquisitions across the globe to avail a competitive advantage through combined synergies.

Influencing Trend:
Increase Investment in Technology Development

Market Growth Drivers:
The Rise in Utilization of Smartphones Driving the Requirement for Greater Business Mobility and Growing Focus Towards Effective and Real-Time Mobile Advertising

Challenges:
Increase Concerns Over Safeguarding Customer Data and High Cost of Implementing AI-Based Solutions

Restraints:
Shattering in Mobile Operating Systems

Opportunities:
The Rise in Automation of Business Processes Using Chatbots

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Intelligent Apps Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Intelligent Apps Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Intelligent Apps players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Intelligent Apps Study Sheds Light on
— The Intelligent Apps Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Intelligent Apps industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Intelligent Apps industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Consumer Apps
  • Enterprise Apps
By Industry Verticals
  • BFSI
  • Telecom
  • Retail and eCommerce
  • Healthcare and Lifer Sciences
  • Education
  • Media and Entertainment
  • Travel and Hospitality
  • Others

By Store
  • Google Play
  • Apple App Store
  • Others

By Providers
  • Infrastructure
  • Data Collection and Preparation
  • Machine Intelligence

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. The Rise in Utilization of Smartphones Driving the Requirement for Greater Business Mobility
      • 3.2.2. Growing Focus Towards Effective and Real-Time Mobile Advertising
    • 3.3. Market Challenges
      • 3.3.1. Increase Concerns Over Safeguarding Customer Data
      • 3.3.2. High Cost of Implementing AI-Based Solutions
    • 3.4. Market Trends
      • 3.4.1. Increase Investment in Technology Development
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Intelligent Apps, by Type, Industry Verticals, Store, Providers and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Intelligent Apps (Value)
      • 5.2.1. Global Intelligent Apps by: Type (Value)
        • 5.2.1.1. Consumer Apps
        • 5.2.1.2. Enterprise Apps
      • 5.2.2. Global Intelligent Apps by: Industry Verticals (Value)
        • 5.2.2.1. BFSI
        • 5.2.2.2. Telecom
        • 5.2.2.3. Retail and eCommerce
        • 5.2.2.4. Healthcare and Lifer Sciences
        • 5.2.2.5. Education
        • 5.2.2.6. Media and Entertainment
        • 5.2.2.7. Travel and Hospitality
        • 5.2.2.8. Others
      • 5.2.3. Global Intelligent Apps by: Store (Value)
        • 5.2.3.1. Google Play
        • 5.2.3.2. Apple App Store
        • 5.2.3.3. Others
      • 5.2.4. Global Intelligent Apps by: Providers (Value)
        • 5.2.4.1. Infrastructure
        • 5.2.4.2. Data Collection and Preparation
        • 5.2.4.3. Machine Intelligence
      • 5.2.5. Global Intelligent Apps Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Intelligent Apps (Price)
      • 5.3.1. Global Intelligent Apps by: Type (Price)
  • 6. Intelligent Apps: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Google (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. AWS (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Microsoft (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Salesforce (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Oracle (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Apple (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Baidu (China)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. SAP SE (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. ServiceNow (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Intelligent Apps Sale, by Type, Industry Verticals, Store, Providers and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Intelligent Apps (Value)
      • 7.2.1. Global Intelligent Apps by: Type (Value)
        • 7.2.1.1. Consumer Apps
        • 7.2.1.2. Enterprise Apps
      • 7.2.2. Global Intelligent Apps by: Industry Verticals (Value)
        • 7.2.2.1. BFSI
        • 7.2.2.2. Telecom
        • 7.2.2.3. Retail and eCommerce
        • 7.2.2.4. Healthcare and Lifer Sciences
        • 7.2.2.5. Education
        • 7.2.2.6. Media and Entertainment
        • 7.2.2.7. Travel and Hospitality
        • 7.2.2.8. Others
      • 7.2.3. Global Intelligent Apps by: Store (Value)
        • 7.2.3.1. Google Play
        • 7.2.3.2. Apple App Store
        • 7.2.3.3. Others
      • 7.2.4. Global Intelligent Apps by: Providers (Value)
        • 7.2.4.1. Infrastructure
        • 7.2.4.2. Data Collection and Preparation
        • 7.2.4.3. Machine Intelligence
      • 7.2.5. Global Intelligent Apps Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Intelligent Apps (Price)
      • 7.3.1. Global Intelligent Apps by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Intelligent Apps: by Type(USD Million)
  • Table 2. Intelligent Apps Consumer Apps , by Region USD Million (2017-2022)
  • Table 3. Intelligent Apps Enterprise Apps , by Region USD Million (2017-2022)
  • Table 4. Intelligent Apps: by Industry Verticals(USD Million)
  • Table 5. Intelligent Apps BFSI , by Region USD Million (2017-2022)
  • Table 6. Intelligent Apps Telecom , by Region USD Million (2017-2022)
  • Table 7. Intelligent Apps Retail and eCommerce , by Region USD Million (2017-2022)
  • Table 8. Intelligent Apps Healthcare and Lifer Sciences , by Region USD Million (2017-2022)
  • Table 9. Intelligent Apps Education , by Region USD Million (2017-2022)
  • Table 10. Intelligent Apps Media and Entertainment , by Region USD Million (2017-2022)
  • Table 11. Intelligent Apps Travel and Hospitality , by Region USD Million (2017-2022)
  • Table 12. Intelligent Apps Others , by Region USD Million (2017-2022)
  • Table 13. Intelligent Apps: by Store(USD Million)
  • Table 14. Intelligent Apps Google Play , by Region USD Million (2017-2022)
  • Table 15. Intelligent Apps Apple App Store , by Region USD Million (2017-2022)
  • Table 16. Intelligent Apps Others , by Region USD Million (2017-2022)
  • Table 17. Intelligent Apps: by Providers(USD Million)
  • Table 18. Intelligent Apps Infrastructure , by Region USD Million (2017-2022)
  • Table 19. Intelligent Apps Data Collection and Preparation , by Region USD Million (2017-2022)
  • Table 20. Intelligent Apps Machine Intelligence , by Region USD Million (2017-2022)
  • Table 21. South America Intelligent Apps, by Country USD Million (2017-2022)
  • Table 22. South America Intelligent Apps, by Type USD Million (2017-2022)
  • Table 23. South America Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 24. South America Intelligent Apps, by Store USD Million (2017-2022)
  • Table 25. South America Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 26. Brazil Intelligent Apps, by Type USD Million (2017-2022)
  • Table 27. Brazil Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 28. Brazil Intelligent Apps, by Store USD Million (2017-2022)
  • Table 29. Brazil Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 30. Argentina Intelligent Apps, by Type USD Million (2017-2022)
  • Table 31. Argentina Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 32. Argentina Intelligent Apps, by Store USD Million (2017-2022)
  • Table 33. Argentina Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 34. Rest of South America Intelligent Apps, by Type USD Million (2017-2022)
  • Table 35. Rest of South America Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 36. Rest of South America Intelligent Apps, by Store USD Million (2017-2022)
  • Table 37. Rest of South America Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 38. Asia Pacific Intelligent Apps, by Country USD Million (2017-2022)
  • Table 39. Asia Pacific Intelligent Apps, by Type USD Million (2017-2022)
  • Table 40. Asia Pacific Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 41. Asia Pacific Intelligent Apps, by Store USD Million (2017-2022)
  • Table 42. Asia Pacific Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 43. China Intelligent Apps, by Type USD Million (2017-2022)
  • Table 44. China Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 45. China Intelligent Apps, by Store USD Million (2017-2022)
  • Table 46. China Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 47. Japan Intelligent Apps, by Type USD Million (2017-2022)
  • Table 48. Japan Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 49. Japan Intelligent Apps, by Store USD Million (2017-2022)
  • Table 50. Japan Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 51. India Intelligent Apps, by Type USD Million (2017-2022)
  • Table 52. India Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 53. India Intelligent Apps, by Store USD Million (2017-2022)
  • Table 54. India Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 55. South Korea Intelligent Apps, by Type USD Million (2017-2022)
  • Table 56. South Korea Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 57. South Korea Intelligent Apps, by Store USD Million (2017-2022)
  • Table 58. South Korea Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 59. Taiwan Intelligent Apps, by Type USD Million (2017-2022)
  • Table 60. Taiwan Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 61. Taiwan Intelligent Apps, by Store USD Million (2017-2022)
  • Table 62. Taiwan Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 63. Australia Intelligent Apps, by Type USD Million (2017-2022)
  • Table 64. Australia Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 65. Australia Intelligent Apps, by Store USD Million (2017-2022)
  • Table 66. Australia Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 67. Rest of Asia-Pacific Intelligent Apps, by Type USD Million (2017-2022)
  • Table 68. Rest of Asia-Pacific Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 69. Rest of Asia-Pacific Intelligent Apps, by Store USD Million (2017-2022)
  • Table 70. Rest of Asia-Pacific Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 71. Europe Intelligent Apps, by Country USD Million (2017-2022)
  • Table 72. Europe Intelligent Apps, by Type USD Million (2017-2022)
  • Table 73. Europe Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 74. Europe Intelligent Apps, by Store USD Million (2017-2022)
  • Table 75. Europe Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 76. Germany Intelligent Apps, by Type USD Million (2017-2022)
  • Table 77. Germany Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 78. Germany Intelligent Apps, by Store USD Million (2017-2022)
  • Table 79. Germany Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 80. France Intelligent Apps, by Type USD Million (2017-2022)
  • Table 81. France Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 82. France Intelligent Apps, by Store USD Million (2017-2022)
  • Table 83. France Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 84. Italy Intelligent Apps, by Type USD Million (2017-2022)
  • Table 85. Italy Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 86. Italy Intelligent Apps, by Store USD Million (2017-2022)
  • Table 87. Italy Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 88. United Kingdom Intelligent Apps, by Type USD Million (2017-2022)
  • Table 89. United Kingdom Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 90. United Kingdom Intelligent Apps, by Store USD Million (2017-2022)
  • Table 91. United Kingdom Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 92. Netherlands Intelligent Apps, by Type USD Million (2017-2022)
  • Table 93. Netherlands Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 94. Netherlands Intelligent Apps, by Store USD Million (2017-2022)
  • Table 95. Netherlands Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 96. Rest of Europe Intelligent Apps, by Type USD Million (2017-2022)
  • Table 97. Rest of Europe Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 98. Rest of Europe Intelligent Apps, by Store USD Million (2017-2022)
  • Table 99. Rest of Europe Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 100. MEA Intelligent Apps, by Country USD Million (2017-2022)
  • Table 101. MEA Intelligent Apps, by Type USD Million (2017-2022)
  • Table 102. MEA Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 103. MEA Intelligent Apps, by Store USD Million (2017-2022)
  • Table 104. MEA Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 105. Middle East Intelligent Apps, by Type USD Million (2017-2022)
  • Table 106. Middle East Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 107. Middle East Intelligent Apps, by Store USD Million (2017-2022)
  • Table 108. Middle East Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 109. Africa Intelligent Apps, by Type USD Million (2017-2022)
  • Table 110. Africa Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 111. Africa Intelligent Apps, by Store USD Million (2017-2022)
  • Table 112. Africa Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 113. North America Intelligent Apps, by Country USD Million (2017-2022)
  • Table 114. North America Intelligent Apps, by Type USD Million (2017-2022)
  • Table 115. North America Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 116. North America Intelligent Apps, by Store USD Million (2017-2022)
  • Table 117. North America Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 118. United States Intelligent Apps, by Type USD Million (2017-2022)
  • Table 119. United States Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 120. United States Intelligent Apps, by Store USD Million (2017-2022)
  • Table 121. United States Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 122. Canada Intelligent Apps, by Type USD Million (2017-2022)
  • Table 123. Canada Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 124. Canada Intelligent Apps, by Store USD Million (2017-2022)
  • Table 125. Canada Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 126. Mexico Intelligent Apps, by Type USD Million (2017-2022)
  • Table 127. Mexico Intelligent Apps, by Industry Verticals USD Million (2017-2022)
  • Table 128. Mexico Intelligent Apps, by Store USD Million (2017-2022)
  • Table 129. Mexico Intelligent Apps, by Providers USD Million (2017-2022)
  • Table 130. Intelligent Apps: by Type(USD/Units)
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Intelligent Apps: by Type(USD Million)
  • Table 142. Intelligent Apps Consumer Apps , by Region USD Million (2023-2028)
  • Table 143. Intelligent Apps Enterprise Apps , by Region USD Million (2023-2028)
  • Table 144. Intelligent Apps: by Industry Verticals(USD Million)
  • Table 145. Intelligent Apps BFSI , by Region USD Million (2023-2028)
  • Table 146. Intelligent Apps Telecom , by Region USD Million (2023-2028)
  • Table 147. Intelligent Apps Retail and eCommerce , by Region USD Million (2023-2028)
  • Table 148. Intelligent Apps Healthcare and Lifer Sciences , by Region USD Million (2023-2028)
  • Table 149. Intelligent Apps Education , by Region USD Million (2023-2028)
  • Table 150. Intelligent Apps Media and Entertainment , by Region USD Million (2023-2028)
  • Table 151. Intelligent Apps Travel and Hospitality , by Region USD Million (2023-2028)
  • Table 152. Intelligent Apps Others , by Region USD Million (2023-2028)
  • Table 153. Intelligent Apps: by Store(USD Million)
  • Table 154. Intelligent Apps Google Play , by Region USD Million (2023-2028)
  • Table 155. Intelligent Apps Apple App Store , by Region USD Million (2023-2028)
  • Table 156. Intelligent Apps Others , by Region USD Million (2023-2028)
  • Table 157. Intelligent Apps: by Providers(USD Million)
  • Table 158. Intelligent Apps Infrastructure , by Region USD Million (2023-2028)
  • Table 159. Intelligent Apps Data Collection and Preparation , by Region USD Million (2023-2028)
  • Table 160. Intelligent Apps Machine Intelligence , by Region USD Million (2023-2028)
  • Table 161. South America Intelligent Apps, by Country USD Million (2023-2028)
  • Table 162. South America Intelligent Apps, by Type USD Million (2023-2028)
  • Table 163. South America Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 164. South America Intelligent Apps, by Store USD Million (2023-2028)
  • Table 165. South America Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 166. Brazil Intelligent Apps, by Type USD Million (2023-2028)
  • Table 167. Brazil Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 168. Brazil Intelligent Apps, by Store USD Million (2023-2028)
  • Table 169. Brazil Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 170. Argentina Intelligent Apps, by Type USD Million (2023-2028)
  • Table 171. Argentina Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 172. Argentina Intelligent Apps, by Store USD Million (2023-2028)
  • Table 173. Argentina Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 174. Rest of South America Intelligent Apps, by Type USD Million (2023-2028)
  • Table 175. Rest of South America Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 176. Rest of South America Intelligent Apps, by Store USD Million (2023-2028)
  • Table 177. Rest of South America Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 178. Asia Pacific Intelligent Apps, by Country USD Million (2023-2028)
  • Table 179. Asia Pacific Intelligent Apps, by Type USD Million (2023-2028)
  • Table 180. Asia Pacific Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 181. Asia Pacific Intelligent Apps, by Store USD Million (2023-2028)
  • Table 182. Asia Pacific Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 183. China Intelligent Apps, by Type USD Million (2023-2028)
  • Table 184. China Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 185. China Intelligent Apps, by Store USD Million (2023-2028)
  • Table 186. China Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 187. Japan Intelligent Apps, by Type USD Million (2023-2028)
  • Table 188. Japan Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 189. Japan Intelligent Apps, by Store USD Million (2023-2028)
  • Table 190. Japan Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 191. India Intelligent Apps, by Type USD Million (2023-2028)
  • Table 192. India Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 193. India Intelligent Apps, by Store USD Million (2023-2028)
  • Table 194. India Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 195. South Korea Intelligent Apps, by Type USD Million (2023-2028)
  • Table 196. South Korea Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 197. South Korea Intelligent Apps, by Store USD Million (2023-2028)
  • Table 198. South Korea Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 199. Taiwan Intelligent Apps, by Type USD Million (2023-2028)
  • Table 200. Taiwan Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 201. Taiwan Intelligent Apps, by Store USD Million (2023-2028)
  • Table 202. Taiwan Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 203. Australia Intelligent Apps, by Type USD Million (2023-2028)
  • Table 204. Australia Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 205. Australia Intelligent Apps, by Store USD Million (2023-2028)
  • Table 206. Australia Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 207. Rest of Asia-Pacific Intelligent Apps, by Type USD Million (2023-2028)
  • Table 208. Rest of Asia-Pacific Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 209. Rest of Asia-Pacific Intelligent Apps, by Store USD Million (2023-2028)
  • Table 210. Rest of Asia-Pacific Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 211. Europe Intelligent Apps, by Country USD Million (2023-2028)
  • Table 212. Europe Intelligent Apps, by Type USD Million (2023-2028)
  • Table 213. Europe Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 214. Europe Intelligent Apps, by Store USD Million (2023-2028)
  • Table 215. Europe Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 216. Germany Intelligent Apps, by Type USD Million (2023-2028)
  • Table 217. Germany Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 218. Germany Intelligent Apps, by Store USD Million (2023-2028)
  • Table 219. Germany Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 220. France Intelligent Apps, by Type USD Million (2023-2028)
  • Table 221. France Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 222. France Intelligent Apps, by Store USD Million (2023-2028)
  • Table 223. France Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 224. Italy Intelligent Apps, by Type USD Million (2023-2028)
  • Table 225. Italy Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 226. Italy Intelligent Apps, by Store USD Million (2023-2028)
  • Table 227. Italy Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 228. United Kingdom Intelligent Apps, by Type USD Million (2023-2028)
  • Table 229. United Kingdom Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 230. United Kingdom Intelligent Apps, by Store USD Million (2023-2028)
  • Table 231. United Kingdom Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 232. Netherlands Intelligent Apps, by Type USD Million (2023-2028)
  • Table 233. Netherlands Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 234. Netherlands Intelligent Apps, by Store USD Million (2023-2028)
  • Table 235. Netherlands Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 236. Rest of Europe Intelligent Apps, by Type USD Million (2023-2028)
  • Table 237. Rest of Europe Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 238. Rest of Europe Intelligent Apps, by Store USD Million (2023-2028)
  • Table 239. Rest of Europe Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 240. MEA Intelligent Apps, by Country USD Million (2023-2028)
  • Table 241. MEA Intelligent Apps, by Type USD Million (2023-2028)
  • Table 242. MEA Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 243. MEA Intelligent Apps, by Store USD Million (2023-2028)
  • Table 244. MEA Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 245. Middle East Intelligent Apps, by Type USD Million (2023-2028)
  • Table 246. Middle East Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 247. Middle East Intelligent Apps, by Store USD Million (2023-2028)
  • Table 248. Middle East Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 249. Africa Intelligent Apps, by Type USD Million (2023-2028)
  • Table 250. Africa Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 251. Africa Intelligent Apps, by Store USD Million (2023-2028)
  • Table 252. Africa Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 253. North America Intelligent Apps, by Country USD Million (2023-2028)
  • Table 254. North America Intelligent Apps, by Type USD Million (2023-2028)
  • Table 255. North America Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 256. North America Intelligent Apps, by Store USD Million (2023-2028)
  • Table 257. North America Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 258. United States Intelligent Apps, by Type USD Million (2023-2028)
  • Table 259. United States Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 260. United States Intelligent Apps, by Store USD Million (2023-2028)
  • Table 261. United States Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 262. Canada Intelligent Apps, by Type USD Million (2023-2028)
  • Table 263. Canada Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 264. Canada Intelligent Apps, by Store USD Million (2023-2028)
  • Table 265. Canada Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 266. Mexico Intelligent Apps, by Type USD Million (2023-2028)
  • Table 267. Mexico Intelligent Apps, by Industry Verticals USD Million (2023-2028)
  • Table 268. Mexico Intelligent Apps, by Store USD Million (2023-2028)
  • Table 269. Mexico Intelligent Apps, by Providers USD Million (2023-2028)
  • Table 270. Intelligent Apps: by Type(USD/Units)
  • Table 271. Research Programs/Design for This Report
  • Table 272. Key Data Information from Secondary Sources
  • Table 273. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Intelligent Apps: by Type USD Million (2017-2022)
  • Figure 5. Global Intelligent Apps: by Industry Verticals USD Million (2017-2022)
  • Figure 6. Global Intelligent Apps: by Store USD Million (2017-2022)
  • Figure 7. Global Intelligent Apps: by Providers USD Million (2017-2022)
  • Figure 8. South America Intelligent Apps Share (%), by Country
  • Figure 9. Asia Pacific Intelligent Apps Share (%), by Country
  • Figure 10. Europe Intelligent Apps Share (%), by Country
  • Figure 11. MEA Intelligent Apps Share (%), by Country
  • Figure 12. North America Intelligent Apps Share (%), by Country
  • Figure 13. Global Intelligent Apps: by Type USD/Units (2017-2022)
  • Figure 14. Global Intelligent Apps share by Players 2022 (%)
  • Figure 15. Global Intelligent Apps share by Players (Top 3) 2022(%)
  • Figure 16. Global Intelligent Apps share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2022
  • Figure 20. Google (United States) Revenue, Net Income and Gross profit
  • Figure 21. Google (United States) Revenue: by Geography 2022
  • Figure 22. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 23. AWS (United States) Revenue: by Geography 2022
  • Figure 24. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 25. Microsoft (United States) Revenue: by Geography 2022
  • Figure 26. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 27. Salesforce (United States) Revenue: by Geography 2022
  • Figure 28. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 29. Oracle (United States) Revenue: by Geography 2022
  • Figure 30. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 31. Apple (United States) Revenue: by Geography 2022
  • Figure 32. Baidu (China) Revenue, Net Income and Gross profit
  • Figure 33. Baidu (China) Revenue: by Geography 2022
  • Figure 34. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 35. SAP SE (Germany) Revenue: by Geography 2022
  • Figure 36. ServiceNow (United States) Revenue, Net Income and Gross profit
  • Figure 37. ServiceNow (United States) Revenue: by Geography 2022
  • Figure 38. Global Intelligent Apps: by Type USD Million (2023-2028)
  • Figure 39. Global Intelligent Apps: by Industry Verticals USD Million (2023-2028)
  • Figure 40. Global Intelligent Apps: by Store USD Million (2023-2028)
  • Figure 41. Global Intelligent Apps: by Providers USD Million (2023-2028)
  • Figure 42. South America Intelligent Apps Share (%), by Country
  • Figure 43. Asia Pacific Intelligent Apps Share (%), by Country
  • Figure 44. Europe Intelligent Apps Share (%), by Country
  • Figure 45. MEA Intelligent Apps Share (%), by Country
  • Figure 46. North America Intelligent Apps Share (%), by Country
  • Figure 47. Global Intelligent Apps: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Google (United States)
  • AWS (United States)
  • Microsoft (United States)
  • Salesforce (United States)
  • Oracle (United States)
  • Apple (United States)
  • Baidu (China)
  • SAP SE (Germany)
  • ServiceNow (United States)
Additional players considered in the study are as follows:
Facebook (United States) , Intel (United States) , HPE (United States)
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Key Highlights of Report


Jun 2023 229 Pages 51 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Intelligent Apps Quantitative research analysis
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Frequently Asked Questions (FAQ):

Historical year: 2018-2022; Base year: 2022; Forecast period: 2023 to 2028
Companies that are profiled in Global Intelligent Apps Market are IBM (United States), Google (United States), AWS (United States), Microsoft (United States), Salesforce (United States), Oracle (United States), Apple (United States), Baidu (China), SAP SE (Germany) and ServiceNow (United States) etc.
AMA Research predicts that United States Players will contribute to the maximum growth of Global Intelligent Apps market throughout the forecasted period.

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