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インテリジェントアプリケーション市場:成長、 動向、予測(2020年~2025年)

Intelligent Apps Market - Growth, Trends, and Forecasts (2020-2025)

出版日: | 発行: Mordor Intelligence LLP | ページ情報: 英文 150 Pages | 納期: 2-3営業日

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インテリジェントアプリケーション市場:成長、 動向、予測(2020年~2025年)
出版日: 2020年06月01日
発行: Mordor Intelligence LLP
ページ情報: 英文 150 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 目次

インテリジェントアプリケーション市場は、予測期間(2020年~2025年)にわたって29.8%のCAGRで成長すると予想されます。機械学習(ML)や人工知能(AI)などの高度なテクノロジーは、あらゆる業界のビジネスを継続的に変革しています。 Netflixでの映画のおすすめや、Amazonでのおすすめの商品から、Googleのパーソナライズド広告まで、インテリジェントアプリケーションは誰もの日常生活の一部になっています。

  • 世界中でスマートフォンの普及が進んでいることは、インテリジェントアプリケーションの市場成長をグローバルに促進する主要な要因の一つです。 GSMAが2020年に発表したレポートによると、2020年1月末までに世界中で35億人以上のスマートフォンユーザーがいます。この数字は、前年より3,000万人以上の増加を示しています。
  • 製造部門では、設備、機械、センサー、テストステーション、ERPおよびHCMからのデータを統合したシミュレーションマシンなど、製造現場システムから運用データを取得、保存、決定するSaaS分析クラウドアプリケーションに基づくインテリジェントアプリケーションの重要性が急速に高まっています。 AIとMLは、運転休止時間が発生した場合に迅速な意思決定を軽減することで生産性を最大化するために、パターンと相関を把握するために重用されている主要なテクノロジーです。
  • COVID-19の継続的な発生の中で、世界中の国々のほとんどが在宅ワークを義務付けています。ソフトウェア業界においては、その影響は比較的低いです。企業は必要なインテリジェントアプリケーションケーションを提供することができています。さらに、このパンデミックは、市場に商機をもたらしました。インド政府は、国内のCOVID-19を追跡して、COVID-19への意識を広めるために、Arogya Setu(アロギャーセトゥ)アプリを導入しました。現在までに、このアプリは国内で9.8クレアを超えるダウンロードを生み出しています。



第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場力学

  • 市場概要
  • 市場の成長要因
    • スマートフォンの利用拡大により、ビジネスモビリティの向上が求められる
    • 豊富なコンテキストとパーソナライズされたエクスペリエンスに対する消費者の期待の高まり
    • 効果的でリアルタイムのモバイル広告への注目の高まり
  • 市場の抑制要因
    • 市場での断片化
  • 業界のバリューチェーン分析
  • ポーターファイブフォース分析
    • 新規参入の脅威
    • バイヤー/消費者の交渉力
    • サプライヤーの交渉力
    • 代替製品の脅威
    • 競争の激化
  • COVID-19の市場への影響

第5章 出現している技術の動向

第6章 市場細分化

  • 展開モード別
    • オンプレミス
    • クラウド
  • タイプ別
    • 消費者向けアプリ
    • 商用アプリ
  • エンドユーザー別
    • BFSI
    • 小売およびeコマース
    • ヘルスケアとライフサイエンス
    • メディアとエンターテイメント
    • 通信とIT
    • ホスピタリティ
    • その他のエンドユーザーカテゴリ
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋
    • ラテンアメリカ
    • 中東・アフリカ

第7章 競合情勢

  • 企業プロファイル*
    • IBM Corporation
    • Oracle Corporation
    • Google LLC
    • Apple Inc.
    • Microsift Corporatio
    • Baidu Inc.
    • Amazon Web Services
    • SAP SE
    • Salesforce.com
    • Intel Corporation
    • HP Enterprises
    • Clarifi Inc.

第8章 投資分析

第9章 市場機会および未来の動向

Product Code: 70481

The intelligent apps market is expected to register a growth at a CAGR of 29.8% over the forecast period (2020-2025). Advanced technology such as Machine Learning (ML) and Artificial Intelligence (AI) is continuously transforming businesses in every industry. From movie recommendations on Netflix, or suggested products on Amazon, to personalized ads from Google, intelligent apps have become part of everyone's daily life.

  • The increasing smartphone penetration across the world has been one of the major factors driving the market growth for intelligent apps globally. According to the 2020 published report by GSMA, there are over 3.5 billion smartphone users worldwide by the end of January 2020. The figure has shown an increase of over 30 million from that in the previous year.
  • In the manufacturing sector, the importance of intelligent apps is rapidly increasing which are based on a SaaS analytical cloud application that acquires, stores, and makes the decision for operational data from shop floor systems including, equipment, machines, sensors, test stations, simulation machines combined with data from ERP and HCMs. AI and ML are the key technologies that are highly being used for understanding patterns and correlations to maximize productivity by mitigating quick decisions in case of downtime.
  • Amid the ongoing outbreak of COVID-19, most of the countries worldwide have mandated the work from home. Being the software industry, it is hit at a lower level. Companies have been able to deliver the required intelligent applications. Moreover, this pandemic has also created opportunities for the market. The Indian government has introduced the Arogya Setu app to track and spread awareness about the COVID-19 in the country. To date, the app has generated over 9.8 crores downloads within the country.

Key Market Trends

Media and Entertainment Industry to Grow Significantly

  • The broadcast and media companies are actively seeking to extend their content reach to the right where it is needed. Also, with the increasing number of people subscribing to OTT platforms, manual tagging of content is close to impossible with the time, as they need to process the massive volume of data. Hence, companies are making efforts to deploy or develop intelligent applications for users with value-added experiences.
  • Netflix has the largest internet traffic source with almost 15% of downstream traffic. In 2019, Netflix was edged out by HTTP Media Stream, which is an HTTP-based adaptive bitrate streaming communications protocol developed by Apple Inc. The streaming channel has the most subscribers among the top five OTT providers with 138 million till 2019.
  • According to the Global Internet Phenomena Report published by Sandvine, HTTP Media Stream, Netflix, and YouTube are in the top 5 for downstream bandwidth in each region (Americas, EMEA, APAC) and they drive overall video consumption.

North America Region to Witness Significant Growth

  • North America region is one of the dominating regions for software development and innovation. Companies including Microsoft, Google, IBM, and Oracle are some of the major companies offering intelligent apps based in the region. Microsoft Corporation's Cortana is one of the best intelligent apps being used in daily lives. The app is a personal assistant app offering functionalities such as keeping track of important files and documents, setting reminders, etc.
  • California-based GrayMeta is infusing its development platform with intelligent technology that analyses a customer's file systems on-premise and cloud with the help of computer vision and other AI services. The platform reduces the time consumption for manual review and tag content, resulting in increased process speed. With this development, the company has mentioned of reducing operational cost, as the cost is associated with the volume of computation used.
  • Moreover, the smartphone manufacturers in the region are focusing on producing hardware components in accordance with the current trend for intelligent apps. For instance, the recently launched Apple iPhone SE is equipped with A13 Bionic chip for 5 trillion operations per second capacity, two ML accelerators on the CPU to balance performance and efficiency. The combination of A13 Bionic and iOS 13 has enhanced the intelligent app's capability in smartphones.

Competitive Landscape

The intelligent apps market is inclined towards fragmentation due to the presence of many established players in the market. Additionally, the market is experiencing continuous entry of new entrants due to less or no requirement of the initial investment. Hence, companies have been adopting a product innovation strategy. Some of the recent developments by the companies are mentioned below.

  • May 2020 - Microsoft Corporation announced that its intelligent app Cortana will be integrated with voice assistant to the Teams iOS app. Instead of removing the voice assistant entirely from its library, The company is integrating Cortana into its other apps, including Teams. Cortana reportedly will respond to a user's voice request to make a call or join a meeting from an iPhone.
  • December 2019 - GE Healthcare launched more than 30 new intelligent applications and smart devices dedicated to drive efficiency in the radiology department. With this, the company is aimed to double the productivity and cost savings for systems by the year 2025. Additionally, clinicians will be benefited from the new technologies through intuitive workflows, improved diagnostic confidence, and less rework by allowing them to spend more time with patients.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

Table of Contents


  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study




  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Use of Smartphones Driving the Demand for Greater Business Mobility
    • 4.2.2 Rising Consumer Expectations for Rich Contextual and Personalized Experience
    • 4.2.3 Growing Focus on Effective and Real-Time Mobile Advertising
  • 4.3 Market Restraints
    • 4.3.1 Fragmentation in the Market
  • 4.4 Industry Value Chain Analysis
  • 4.5 Porters FIve Force Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry
  • 4.6 Assessment on the Impact of COVID-19 on the market



  • 6.1 By Deployment Mode
    • 6.1.1 On-Premise
    • 6.1.2 Cloud
  • 6.2 By Type
    • 6.2.1 Consumer App
    • 6.2.2 Commercial App
  • 6.3 By End-user Vertical
    • 6.3.1 BFSI
    • 6.3.2 Retail and Ecommerce
    • 6.3.3 Healthcare and Life Sciences
    • 6.3.4 Media and Entertainment
    • 6.3.5 Telecommunications and IT
    • 6.3.6 Hospitality
    • 6.3.7 Other End-user Vertical
  • 6.4 Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East & Africa


  • 7.1 Company Profiles*
    • 7.1.1 IBM Corporation
    • 7.1.2 Oracle Corporation
    • 7.1.3 Google LLC
    • 7.1.4 Apple Inc.
    • 7.1.5 Microsift Corporatio
    • 7.1.6 Baidu Inc.
    • 7.1.7 Amazon Web Services
    • 7.1.8 SAP SE
    • 7.1.9 Salesforce.com
    • 7.1.10 Intel Corporation
    • 7.1.11 HP Enterprises
    • 7.1.12 Clarifi Inc.



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