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Intelligent Apps Market Analysis

Report ID: GMI2979
   |
Published Date: February 2021
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Report Format: PDF

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Intelligent Apps Market Analysis

UK Intelligent Apps Market Size

UK based consumer intelligent apps market is poised to witness above 35% CAGR through 2027. The growing demand to a provide unique user experience in accordance with the historical data and geographical locations is enabling the demand for consumer intelligent apps. These applications are majorly used for the granular processing of real-time and historical data related to customer-to-business interactions. This helps companies in the market to customize their offering in accordance with potential customer preferences and features in intelligent apps.
 

In the UAE, cloud deployment segment is forecast to observe growth rate of around 35% CAGR from 2021 to 2027. Companies operating in the regional intelligent apps market are expanding their data center network in the country. For instance, in October 2020, Oracle Corporation established a new data center in Dubai. This helped the company to expand its market reach and provide access to Oracle Cloud applications to develop intelligent apps. According to the Federal Competitiveness and Statistics Authority, in 2019, 99.9% of individuals in the UAE owned mobile phones. The widespread penetration of cloud technologies along with smartphone users are adopting intelligent apps.
 

The Android operating system segment is estimated to see exponential growth over 2021 to 2027. The country is reporting an increase in the penetration of android smartphone devices and internet usage. As per the Canadian Press, the country has witnessed a sharp rise of internet users amid coronavirus pandemic and recorded more than 2 million social network users as of November 2020. Moreover, the open-source architecture of the operating system enables companies to develop customized intelligent apps to cater to consumer requirements. These regional markets and technology trends are contributing to the growing uptake of Android OS.
 

Asia Pacific Intelligent Apps Market

The retail & e-commerce application in India held more than 20% of the intelligent apps market share in 2020 and is likely to grow significantly till 2027. Consistent growth in the retail & e-commerce industry followed by smartphone penetration is set to fuel industry growth. According to the India Brand Equity Foundation, the country’s e-commerce sector is predicted to reach USD 99 billion by 2024. However, in 2019, online retail penetration stood at 4.7% and is expected to reach 10.7% through 2024. The enterprise-wide need to gain a competitive edge and connect to consumers is anticipated to drive the demand for intelligent apps.
 

Europe Intelligent Apps Market Share

Europe dominated the global intelligent apps market with a value of around USD 2.5 billion in 2020 and is projected to grow significantly through 2027. The regional technological innovations and industry-wide digitization are contributing to the market growth. According to the GSMA Intelligence’s Mobile Economy 2020 report, in 2019, the region had a smartphone adoption rate of 76% and ranks second in the world.
 

Furthermore, the adoption of video streaming services across households witnessed an approximately 12.6% increase compared to the last quarter of 2019. Considering these figures and the rising usage of media streaming services, the demand for intelligent apps across Europe will increase significantly.

Authors: Preeti Wadhwani,
Frequently Asked Question(FAQ) :
What was the market for intelligent apps valued at in 2020?
The global intelligent apps industry share was USD 15 billion in 2020 and is estimated to hit more than 35% CAGR up to 2027.
How did the Europe intelligent apps industry perform during 2020?
Why is cloud deployment for intelligent apps gaining traction in Middle East?
How are consumer intelligent apps performing in the U.K. market?

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

Authors: Preeti Wadhwani,
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Premium Report Details

Base Year: 2020

Companies covered: 19

Tables & Figures: 297

Countries covered: 19

Pages: 220

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