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Intelligent Apps Market by Type, Provider, Store Type, Deployment Mode, Service, Vertical, and Region - Global Forecast to 2023
DUBLIN, Oct. 12, 2018 /PRNewswire/ --
The "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" report has been added to ResearchAndMarkets.com's offering.
MarketsandMarkets expects the global intelligent apps market 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 driving factors for the market include increasing use of smartphones driving the demand for greater business mobility, rising consumer expectations for rich contextual and personalized experience, and growing focus on effective and real-time mobile advertising.
Among types, the enterprise apps segment is expected to grow at a higher rate during the forecast period. Enterprises have started using intelligent apps in various use cases. The consumer apps segment, on the other hand, is to have a larger market size during the forecast period, owing to the growing need to offer personalized results to end users.
The cloud deployment mode is expected to grow at a higher CAGR and hold a larger market size during the forecast period. As the cloud-based intelligent apps solutions are becoming the most popular choice among users, as they help reduce the cost related to infrastructure maintenance.
The infrastructure providers segment is expected to hold a larger market size during the forecast period. Whereas, the machine intelligence segment is to grow at a higher rate, as the segment helps developers make their job simple by offering application specific pre-built models.
The managed services segment is projected to grow at a higher rate during the forecast period, as managed services help organizations concentrate on core business procedures. On the other hand, the professional services segment is to hold a larger market size during the forecast period.
Among the store types, Google Play is expected to grow at the highest CAGR during the forecast period. On the other hand, Apple App Store is to hold the largest market size. Apple has its customer base in premium customer segment which is helping in the generation of significant revenues.
In the intelligent apps market by vertical, the media and entertainment vertical is projected to grow at the highest rate during the forecast period. As, on the enterprise level, the intelligent apps help them understand user profile and thereby assist in delivering personalized web pages to users. Whereas, the retail and eCommerce vertical is to hold the largest market size during the forecast period.
NorthAmerica is expected to be the largest revenue-generating region, due to the growing demand for intelligent apps by various industries to analyze large volumes of data. APAC is to be the fastest-growing region in the global intelligent apps market, owing to the increasing adoption of advanced technologies across the region.
Concerns over safeguarding customer data and high cost of implementing AI-based solutions could would be challenges for the growth of intelligent apps market.
Key Topics Covered:
1 Introduction
2 Research Methodology
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
5.4 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
For more information about this report visit https://www.researchandmarkets.com/research/mkbvrq/intelligent_apps?w=5
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