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Intelligent Apps Market by Type (Consumer Apps, Enterprise Apps), Provider (Infrastructure, Data Collection & Preparation), Store Type (Google Play, Apple App Store), Deployment Mode, Service, Vertical, and Region - Global Forecast to 2023

  • ID: 4655695
  • Report
  • Region: Global
  • 171 Pages
  • Markets and Markets
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The Global Intelligent Apps Market Size to Grow at a CAGR of 32.9% During the Forecast Period

FEATURED COMPANIES

  • Aibrain
  • AWS
  • Clarifai
  • Fuzzy.AI
  • IBM
  • Narrative Science
  • MORE

The global intelligent apps market size is expected to grow from USD 11.34 billion in 2018 to USD 46.98 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 32.9% during the forecast period. Major growth factors for the market include increasing consumer expectation for rich contextual and personalized experience, and the growing use of smartphones driving the demand for greater business mobility. However, fragmentation in mobile operating systems may restrain the market growth. The high cost of implementing AI solutions is a major challenge for the growing adoption of intelligent apps.

The intelligent apps market by type includes consumer apps and enterprise apps. The enterprise apps segment is expected to grow at a higher CAGR during the forecast period. An increasing demand for optimized and secure mobility solutions among enterprises is driving the adoption of intelligent apps across verticals.

APAC is expected to grow at the highest CAGR in the global intelligent apps market during the forecast period. The AI market in APAC has recently progressed from its nascent stage to the intermediate stage. The APAC region is also expected to account for the largest market size during the forecast period. The government investments and the large presence of key players, such as Microsoft, IBM, Facebook, Google, and Hewlett-Packard Enterprise, are driving the intelligent apps market in the APAC region especially in China, Japan, Singapore, and India.

In the process to determine and verify the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. The following is the breakup of primary participants’ profiles:

  • By Company Type - Tier 1 – 10%, Tier 2 – 48%, and Tier 3 –42%
  • By Designation – C-level – 32%, Director-level – 40%, and Others – 28%
  • By Region – North America – 20%, EMEA– 38%, and APAC - 42%

Major vendors in the global intelligent apps market include IBM (US), Google (US), AWS (US), Microsoft (US), Salesforce (US), Oracle(US), Apple (US), Baidu (China), SAP SE (Germany), ServiceNow (US), Facebook (US), Intel(US), HPE(US), Avaamo (US), H2O.ai (US), BigML (US), Sentient Technologies (US), Clarifai (US), CloudMinds (US), Ayasdi (US), Narrative Science (US), AIBrain (US), Dation (US), Arkenea Technologies (US), iCarbonX (US), and Fuzzy.ai (US).

Research Coverage
The report segments the global intelligent apps market by type, providers, store type, services, deployment modes, verticals, and regions. The deployment modes in the intelligent apps market are cloud and on-premises. There are consumer apps and enterprise apps in the intelligent apps market. The store types in the intelligent apps market are Google Play, Apple App Store, and others (slideME, Amazon app store, Baidu app store, Samsung galaxy app store, and others). The intelligent app market by provider covers infrastructure providers, data collection and preparation providers, and machine intelligence service providers. The market by vertical includes retail and eCommerce, BFSI, education, media and entertainment, travel and hospitality, healthcare and life sciences, and others (energy and utilities, manufacturing, and government and defense). Intelligent apps market by region studies the market in 5 major regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.

Reasons to Buy

  • The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and subsegments. The market numbers are further split into various application areas and regions.
  • The report aids understanding of the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
  • The report helps organizations better understand competitors and gain more insights to strengthen their position in the market. In addition, the study presents the positioning of the key players based on their product offerings and business strategies.
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Aibrain
  • AWS
  • Clarifai
  • Fuzzy.AI
  • IBM
  • Narrative Science
  • MORE

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Research Assumptions
2.4 Limitations

3 Executive Summary

4 Premium Insights
4.1 Attractive Opportunities in the Intelligent Apps Market
4.2 Market Top 3 Verticals
4.3 Market Top 3 Providers and Regions
4.4 Market Potential, By Region
4.5 Market By Type
4.6 Market Investment Scenario

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Use of Smartphones Driving the Demand for Greater Business Mobility
5.2.1.2 Rising Consumer Expectations for Rich Contextual and Personalized Experience
5.2.1.3 Growing Focus on Effective and Real-Time Mobile Advertising
5.2.2 Restraints
5.2.2.1 Fragmentation in Mobile Operating Systems
5.2.3 Opportunities
5.2.3.1 Increasing Automation of Business Processes Using Chatbots
5.2.4 Challenges
5.2.4.1 Concerns Over Safeguarding Customer Data
5.2.4.2 High Cost of Implementing Ai-Based Solutions
5.3 Use Cases
5.3.1 Introduction
5.3.1.1 Use Case: Scenario 1
5.3.1.2 Use Case: Scenario 2
5.3.1.3 Use Case: Scenario 3
5.3.1.4 Use Case: Scenario 4
5.3.1.5 Use Case: Scenario 5
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 General Data Protection Regulation (GDPR)
5.4.3 Health Insurance Portability and Accountability Act (HIPAA)
5.4.4 Food and Drug Administration (FDA) Compliance
5.4.5 Financial Industry Regulatory Authority (FINRA)
5.4.6 Federal Information Processing Standards (FIPS) Publication 140-2 Compliance
5.4.7 Sarbanes–Oxley Act (SOX)
5.4.8 Basel Ii

6 Intelligent Apps Market, By Type
6.1 Introduction
6.2 Consumer Apps
6.3 Enterprise Apps

7 Market By Provider
7.1 Introduction
7.2 Infrastructure
7.3 Data Collection and Preparation
7.4 Machine Intelligence

8 Intelligent Apps Market, By Service
8.1 Introduction
8.2 Professional Services
8.3 Managed Services

9 Market By Store Type
9.1 Introduction
9.2 Google Play
9.3 Apple App Store
9.4 Others

10 Intelligent Apps Market, By Deployment Mode
10.1 Introduction
10.2 Cloud
10.3 On-Premises

11 Market By Vertical
11.1 Introduction
11.2 Banking, Financial Services, and Insurance
11.3 Telecom
11.4 Retail and Ecommerce
11.5 Healthcare and Life Sciences
11.6 Education
11.7 Media and Entertainment
11.8 Travel and Hospitality
11.9 Others

12 Intelligent Apps Market, By Region
12.1 Introduction
12.2 North America
12.2.1 United States
12.2.2 Canada
12.3 Europe
12.3.1 United Kingdom
12.3.2 Germany
12.3.3 France
12.3.4 Rest of Europe
12.4 Asia Pacific
12.4.1 China
12.4.2 Japan
12.4.3 India
12.4.4 Rest of Asia Pacific
12.5 Middle East and Africa
12.5.1 Israel
12.5.2 United Arab Emirates
12.5.3 South Africa
12.5.4 Rest of Middle East and Africa
12.6 Latin America
12.6.1 Brazil
12.6.2 Mexico
12.6.3 Rest of Latin America

13 Competitive Landscape
13.1 Overview
13.2 Top Players Operating in the Intelligent Apps Market
13.3 Competitive Scenario
13.3.1 New Product/Service Launches and Product/Service Enhancements
13.3.2 Agreements and Partnerships
13.3.3 Acquisitions
13.3.4 Expansions

14 Company Profiles
14.1 IBM
14.2 Google
14.3 Apple
14.4 Microsoft
14.5 Oracle
14.6 Baidu
14.7 AWS
14.8 Salesforce
14.9 SAP
14.10 Servicenow
14.11 Facebook
14.12 Intel
14.13 HPE
14.14 Avaamo
14.15 H2o.AI
14.16 Bigml
14.17 Sentient Technologies
14.18 Clarifai
14.19 Cloudminds
14.20 Ayasdi
14.21 Narrative Science
14.22 Aibrain
14.23 Datoin
14.24 Arkenea
14.25 Icarbonx
14.26 Fuzzy.AI

List of Tables
Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Global Intelligent Apps Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y%)
Table 3 Global Mobile Advertising Spending: Forecast to 2018
Table 4 Intelligent Apps Market Size, By Type, 2016–2023 (USD Million)
Table 5 Consumer Apps: Market Size By Region, 2016–2023 (USD Million)
Table 6 Enterprise Apps: Market Size By Region, 2016–2023 (USD Million)
Table 7 Intelligent Apps Market Size, By Provider, 2016–2023 (USD Million)
Table 8 Infrastructure: Market Size By Region, 2016–2023 (USD Million)
Table 9 Data Collection and Preparation: Market Size By Region, 2016–2023 (USD Million)
Table 10 Machine Intelligence: Market Size By Region, 2016–2023 (USD Million)
Table 11 Intelligent Apps Market Size, By Service, 2016–2023 (USD Million)
Table 12 Professional Services: Market Size By Region, 2016–2023 (USD Million)
Table 13 Managed Services: Market Size By Region, 2016–2023 (USD Million)
Table 14 Intelligent Apps Market Size, By Store Type, 2016–2023 (USD Million)
Table 15 Google Play: Market Size By Region, 2016–2023 (USD Million)
Table 16 Apple App Store: Market Size By Region, 2016–2023 (USD Million)
Table 17 Others: Market Size By Region, 2016–2023 (USD Million)
Table 18 Intelligent Apps Market Size, By Deployment Mode, 2016–2023 (USD Million)
Table 19 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 20 on Premises: Market Size By Region, 2016–2023 (USD Million)
Table 21 Intelligent Apps Market Size, By Vertical, 2016–2023 (USD Million)
Table 22 Banking, Financial Services, and Insurance: Market Size By Region, 2016–2023 (USD Million)
Table 23 Telecom: Market Size By Region, 2016–2023 (USD Million)
Table 24 Retail and Ecommerce: Market Size By Region, 2016–2023 (USD Million)
Table 25 Healthcare and Life Sciences: Market Size By Region, 2016–2023 (USD Million)
Table 26 Education: Market Size By Region, 2016–2023 (USD Million)
Table 27 Media and Entertainment: Market Size By Region, 2016–2023 (USD Million)
Table 28 Travel and Hospitality: Market Size By Region, 2016–2023 (USD Million)
Table 29 Others: Market Size By Region, 2016–2023 (USD Million)
Table 30 Intelligent Apps Market Size, By Region, 2016–2023 (USD Million)
Table 31 North America: Market Size By Country, 2016–2023 (USD Million)
Table 32 North America: Market Size By Type, 2016–2023 (USD Million)
Table 33 North America: Market Size By Provider, 2016–2023 (USD Million)
Table 34 North America: Market Size By Service, 2016–2023 (USD Million)
Table 35 North America: Market Size By Store Type, 2016–2023 (USD Million)
Table 36 North America: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 37 North America: Market Size By Vertical, 2016–2023 (USD Million)
Table 38 Europe: Intelligent Apps Market Size, By Country, 2016–2023 (USD Million)
Table 39 Europe: Market Size By Type, 2016–2023 (USD Million)
Table 40 Europe: Market Size By Provider, 2016–2023 (USD Million)
Table 41 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 42 Europe: Market Size By Store Type, 2016–2023 (USD Million)
Table 43 Europe: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 44 Europe: Market Size By Vertical, 2016–2023 (USD Million)
Table 45 Asia Pacific: Intelligent Apps Market Size, By Country, 2016–2023 (USD Million)
Table 46 Asia Pacific: Market Size By Type, 2016–2023 (USD Million)
Table 47 Asia Pacific: Market Size By Provider, 2016–2023 (USD Million)
Table 48 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 49 Asia Pacific: Market Size By Store Type, 2016–2023 (USD Million)
Table 50 Asia Pacific: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 51 Asia Pacific: Market Size By Vertical, 2016–2023 (USD Million)
Table 52 Middle East and Africa: Intelligent Apps Market Size, By Country, 2016–2023 (USD Million)
Table 53 Middle East and Africa: Market Size By Type, 2016–2023 (USD Million)
Table 54 Middle East and Africa: Market Size By Provider, 2016–2023 (USD Million)
Table 55 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 56 Middle East and Africa: Market Size By Store Type, 2016–2023 (USD Million)
Table 57 Middle East and Africa: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 58 Middle East and Africa: Market Size By Vertical, 2016–2023 (USD Million)
Table 59 Latin America: Intelligent Apps Market Size, By Country, 2016–2023 (USD Million)
Table 60 Latin America: Market Size By Type, 2016–2023 (USD Million)
Table 61 Latin America: Market Size By Provider, 2016–2023 (USD Million)
Table 62 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 63 Latin America: Market Size By Store Type, 2016–2023 (USD Million)
Table 64 Latin America: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 65 Latin America: Market Size By Vertical, 2016–2023 (USD Million)
Table 66 New Product/Service Launches and Product/Service Enhancements, 2015–2018
Table 67 Agreements and Partnerships, 2016–2018
Table 68 Acquisitions, 2015–2018
Table 69 Expansions, 2016–2018

List of Figures
Figure 1 Global Intelligent Apps Market Segmentation
Figure 2 Global Market Regional Scope
Figure 3 Intelligent Apps Market: Research Design
Figure 4 Breakup of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 Intelligent Apps Market: Assumptions
Figure 9 Asia Pacific is Estimated to Have the Largest Market Share in 2018
Figure 10 Intelligent Apps Market Snapshot, By Type, 2017
Figure 11 Market Snapshot By Provider, 2017
Figure 12 Market Snapshot By Service, 2017
Figure 13 Market Snapshot By Store Type, 2017
Figure 14 Market Snapshot By Deployment Mode, 2017
Figure 15 Market Snapshot By Vertical, 2017
Figure 16 Increasing Use of Smartphones is Expected to Drive the Global Intelligent Apps Market Growth During the Forecast Period
Figure 17 Media and Entertainment Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 18 Infrastructure Provider and Asia Pacific are Estimated to Have the Largest Market Shares in the Global Intelligent Apps Market in 2018
Figure 19 Asia Pacific is Expected to Register the Fastest Growth During the Forecast Period
Figure 20 Consumer Apps Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 21 Asia Pacific is Expected to Emerge as the Best Region for Investments During the Forecast Period
Figure 22 Intelligent Apps Market: Drivers, Restraints, Opportunities, and Challenges
Figure 23 Global Market Share By Operating Systems, 2018
Figure 24 Types of Mobile App Advertisements
Figure 25 Enterprise Apps Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Machine Intelligence Segment is Expected to Record the Highest CAGR During the Forecast Period
Figure 27 Managed Services Segment is Expected to Record A Higher CAGR During the Forecast Period
Figure 28 Google Play Store Type is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 29 Cloud Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 30 Media and Entertainment Vertical is Expected to Witness the Highest CAGR During the Forecast Period
Figure 31 Asia Pacific is Estimated to Account for the Largest Market Size in 2018
Figure 32 Canada is Expected to Register the Highest CAGR During the Forecast Period
Figure 33 North America: Market Snapshot
Figure 34 Asia Pacific: Market Snapshot
Figure 35 Key Developments By Leading Players in the Intelligent Apps Market During 2015–2018
Figure 36 IBM: Company Snapshot
Figure 37 IBM: SWOT Analysis
Figure 38 Google: Company Snapshot
Figure 39 Google: SWOT Analysis
Figure 40 Apple: Company Snapshot
Figure 41 Apple: SWOT Analysis
Figure 42 Microsoft: Company Snapshot
Figure 43 Microsoft: SWOT Analysis
Figure 44 Oracle: Company Snapshot
Figure 45 Oracle: SWOT Analysis
Figure 46 Baidu: Company Snapshot
Figure 47 Baidu: SWOT Analysis
Figure 48 AWS: Company Snapshot
Figure 49 AWS: SWOT Analysis
Figure 50 Salesforce: Company Snapshot
Figure 51 SAP: Company Snapshot
Figure 52 Servicenow: Company Snapshot
Figure 53 Facebook: Company Snapshot
Figure 54 Intel: Company Snapshot
Figure 55 HPE: Company Snapshot

Note: Product cover images may vary from those shown
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  • Aibrain
  • Apple
  • Arkenea
  • Avaamo
  • AWS
  • Ayasdi
  • Baidu
  • Bigml
  • Clarifai
  • Cloudminds
  • Datoin
  • Facebook
  • Fuzzy.AI
  • Google
  • H2o.AI
  • HPE
  • IBM
  • Icarbonx
  • Intel
  • Microsoft
  • Narrative Science
  • Oracle
  • Salesforce
  • SAP
  • Sentient Technologies
  • Servicenow
Note: Product cover images may vary from those shown
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