市場調查報告書
商品編碼
1184249
移動分析全球市場規模、份額、行業趨勢分析報告:按組件、應用、組織規模(大型與中小企業)、最終用途、地區展望和預測2022-2028Global Mobile Analytics Market Size, Share & Industry Trends Analysis Report By Component, By Application, By Organization Size (Large Enterprises and Small & Medium Enterprises (SMEs)), By End-use, By Regional Outlook and Forecast, 2022 - 2028 |
在預測期內,全球移動分析市場規模預計將以 19.0% 的複合年增長率增長,到 2028 年達到 149 億美元。
此外,由於移動廣告的增加以及數據分析和大數據的引入,移動分析市場正在擴大。 另一方面,越來越多的公司進入市場並提供尖端解決方案,預計將在預測期內創造更多機會。
公司可以衡量自己的銷售渠道、客戶資料、崩潰率、人口統計數據、應用程序打開率、客戶保留率或用戶放棄率、在應用程序中花費的時間、最常見的應用程序內購買路徑等。分析與我們業務相關的其他數據。
具體而言,當 75% 的用戶退出渠道的發貨屏幕時,該屏幕要麼存在設計、用戶界面 (UI) 或用戶體驗 (UX) 問題,要麼用戶完成了交易。可能存在技術問題阻止你這樣做。
COVID-19 影響分析
推動市場發展的主要因素是:數字交易數量的增加、智能設備的普及、物聯網技術的普及、5G 網絡的持續推出、工業 4.0 的採用、金融科技、遊戲科技、教育科技、健康科技、ACES 移動、媒體和娛樂行業以及其他行業和垂直行業可以產生大量數據。 所有這些因素都有利於市場的擴大。 通過在大流行期間消除對員工正常運行時間的依賴,移動分析和自動化可以順便支持遠程工作並確保企業彈性。
市場增長因素
移動用戶增加
自 2007 年推出 iPhone 以來,移動用戶顯著增加。 移動設備的使用量每年以兩位數的速度增長。 谷歌在 2020 年初宣布了移動優先索引,將所有在線內容的索引和排名算法更改為移動優先。 由於智能手機使用率的上升和許多基於移動的應用程序的創建,移動分析已得到更廣泛的應用。 所有這些因素都有助於不斷增長的移動分析市場。
個性化廣告的實時分析越來越受歡迎
實時廣告是基於圖形的網絡廣告的統稱,是一種基於效果的展示廣告。 創建的營銷材料以圖形方式在線顯示。 RTA 利用 RTB(實時出價),可以在幾毫秒內拍賣在線庫存。 AI(人工智能)營銷基於數據收集和分析自動化營銷選擇和活動。
市場製約因素
安全問題
在線用戶的日常任務和要求中越來越頻繁地使用移動應用程序 (apps),但在這些工具中處理個□□人數據引起了消費者的嚴重擔憂。構成了嚴重的安全和隱私威脅。 這些風的軟件和服務
組件視角
根據組件,移動分析市場分為解決方案和服務。 到 2021 年,解決方案部門將引領移動分析市場,並有望在預期期間繼續保持領先地位。 這是由於對 BI(商業智能)工具和高級分析的需求不斷增長。 此外,移動分析解決方案市場擴張的主要驅動力是對實時業務信息的需求不斷增加,以便更快地做出業務決策。
應用展望
移動分析市場根據用途細分為移動廣告和營銷分析、定位和行為分析、應用程序性能分析等。 目標和行為分析市場將在 2021 年佔據很大的收入份額。 移動分析中目標和行為分析市場增長的主要驅動力是基於雲的目標和行為分析解決方案的利用率不斷提高,以及行為分析安全措施的改進。 對實時數據不斷增長的需求也推動了應用內行為分析的增長。
結束使用 Outlook
按行業劃分,移動分析市場分為 BFSI、零售和電子商務、醫□□療保健、政府、旅遊和酒店、IT 和電信、媒體和娛樂等。 預計醫療保健行業將在預測期內以最快的速度發展。 隨著智能手機使用量的激增和消費者對快速訪問商品和服務的期望的增加,移動參與技術不斷改進。 為了充分受益於移動分析在醫療保健領域必須提供的眾多功能,醫療保健公司正在大力利用移動解決方案來提高患者參與度。
組織規模展望
根據組織規模,移動分析市場分為大型企業和中小企業。 到 2021 年,大型企業細分市場將推動移動分析市場的增長,並有望繼續如此。 推動市場擴張的主要因素是智能手機和互聯網的使用越來越多。 此外,移動廣告的增長以及物聯網和數據分析等創新數字技術的出現也是移動分析的主要驅動力。
區域展望
按地區劃分,移動分析市場分為北美、歐洲、亞太地區和 LAMEA。 北美目前在 2021 年佔據移動分析市場的主導地位,並且由於移動分析解決方案的可負擔性和可擴展性,其接受率很高,因此預計在預測期內仍將如此。 北美零售商正在投資尖端技術以改進他們的業務流程。
市場進入者採取的主要策略是“收購”。 根據基數矩陣中的分析,Google LLC 和 Microsoft Corporation 是移動分析市場的先驅。 IBM 公司、甲骨文公司和 SAP SE 等公司是移動分析市場的一些主要創新者。
The Global Mobile Analytics Market size is expected to reach $14.9 billion by 2028, rising at a market growth of 19.0% CAGR during the forecast period.
Analytics is gathering and analyzing user data to understand better user behavior and the functionality of a website or service. Mobile platforms and properties, like mobile sites and mobile applications, generate data, which is measured and analyzed in mobile analytics. Mobile analytics monitors user interaction with the app in addition to app-specific information, including installs, launches, taps, events, versions, screens, user retention, funnel analytics, flows, and more.
Mobile analytics also gathers and assesses equivalent user metrics to web analytics, like the number of people using the app, their nation of origin, the type of device they are using, and the operating system version they are using. Global demand for mobile analytics has increased due to the market smartphone penetration and the need for new and valuable insight into consumer preferences.
Furthermore, the market for mobile analytics has also grown due to the rise in mobile advertising and the introduction of data analytics and big data. On the contrary hand, more chances are anticipated to arise throughout the anticipated period as more businesses enter the market and offer cutting-edge solutions.
Organizations are very concerned while analyzing their sales funnels, customer profiles, crash rates, demographics, open app rates, customer retention, or any other data that is relevant to their business, such as sliding away users, time spent on the app, or most common paths to an in-app purchase.
To be more specific, in case a company discovers that 75% of its users leave the shipment screen of their sales to funnel, there probably is a design, user interface (UI), or user experience (UX) issue with that screen, or there is a technical issue preventing users from finishing the transaction.
COVID-19 Impact Analysis
A few of key factors propelling the market include the rise in the number of digital transactions, the proliferation of smart devices, the widespread adoption of IoT technology, the ongoing rollout of 5G networks, the adoption of Industry 4.0, and the potential for large volumes of data to be produced by the FinTech, GamingTech, EduTech, HealthTech, ACES mobility, and media & entertainment sectors, among other industries and industry verticals. All of these elements have benefited the market's expansion. By eliminating the reliance on employee availability during the pandemic, mobile analytics and automation incidentally supported remote working and ensured corporate resilience.
Market Growth Factors
An Increase In Mobile Users
Since the 2007 launch of the iPhone, mobile activity has significantly increased. Every year, there has been a double-digit increase in mobile device usage. Google announced mobile-first indexing at the beginning of 2020, changing its algorithm for indexing and ranking all online content to be mobile-first. Mobile analytics is becoming more widely used as a result of rising smartphone usage and the creation of several mobile-based applications. These elements all help the market for mobile analytics to expand.
The Popularity Of Real-Time Analytics For Personalized Ads Is Rising
Real-time advertising, which refers to the overall category of graphics-based web advertising, is a performance-based type of display advertising. The created marketing materials are graphically shown online. RTA utilizes real-time bidding (RTB), a technique that enables the auctioning of online advertising space in milliseconds. Artificial intelligence (AI) marketing automates marketing choices and activities based on data gathering and analysis.
Market Restraining Factors
Concerns Pertaining To Security Breaches
While mobile applications (apps) are being used more and more frequently by online users for their daily tasks and requirements, processing personal data through these tools poses serious security and privacy threats to consumers. These risks are primarily caused by the variety of data and sensors stored in mobile devices, the use of various identifiers and increased possibility of user monitoring, the complex mobile app ecosystem, and the app developers' limitations, as well as the extensive use of third-party software and services.
Component Outlook
Based on the Component, the Mobile Analytics Market is divided into Solutions and Services. In 2021, the solution segment led the market for mobile analytics, and it is anticipated that it will continue to do so during the anticipated time frame. This is due to the rising demand for BI (Business Intelligence) tools and advanced analytics. Additionally, a major factor in the market expansion for mobile analytics solutions is the increased demand for real-time business information to make quicker business choices.
Application Outlook
Based on application, the Mobile Analytics Market is categorized into Mobile Advertising and Marketing Analytics, Targeting and Behavioral Analytics, Application Performance Analytics, and Others. The targeting and behavioral analytics market garnered the significant revenue share in 2021. The main drivers of the growth of the targeting and behavioral analytics market in mobile analytics are an increase in the usage of cloud-based targeting and behavior analytic solutions and an improvement in behavior analytics security measures. The growth of in-app behavior analytics is also fueled by the rise in demand for real-time data.
End-use Outlook
Based on verticals, the Mobile Analytics market is categorized into BFSI, Retail & E-commerce, Healthcare, Government, Travel & Hospitality, IT & Telecom, Media & Entertainment, and Others. During the projected period, the healthcare segment is anticipated to develop at the fastest rate. Mobile engagement technology is constantly improving as smartphone usage soars, and consumer expectations for rapid access to goods and services rise. In order to fully profit from the numerous capabilities that mobile analytics in the healthcare sector offers, healthcare companies are heavily utilizing mobility solutions for improved patient engagement.
Organization Size Outlook
Based on Organization Size, the Mobile Analytics Market is divided into Large Enterprises and SMEs. In 2021, the large enterprises segment led the growth of the mobile analytics market, and it is anticipated that it will continue to do so in the years to come. The main forces behind the market's expansion are the rising use of smartphones and the internet. Additionally, the growth of mobile advertising and the appearance of innovative digital technologies such as IoT and data analytics are the main drivers of mobile analytics.
Regional Outlook
Based on geography, the Mobile Analytics Market is categorized into North America, Europe, Asia Pacific, and LAMEA. North America currently dominated the mobile analytics market in 2021 and is anticipated to maintain doing so over the course of the projection period due to the significant acceptance rate of mobile analytics solutions because of their affordability and scalability. Additionally, to improve work processes, North American retail companies are investing in cutting-edge technologies.
The major strategies followed by the market participants are Acquisition. Based on the Analysis presented in the Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Mobile Analytics Market. Companies such as IBM Corporation, Oracle Corporation, SAP SE are some of the key innovators in Mobile Analytics Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Adobe, Inc., Google LLC, IBM Corporation, Micro Focus International PLC, Microsoft Corporation, SAS Institute, Inc., Oracle Corporation, SAP SE, Salesforce.com, Inc., and Tibco Software, Inc. (Vista Equity Partners)
Recent Strategies Deployed in Mobile Analytics Market
Mergers & Acquisition
Jul-2022: SAP announced the acquisition of AskData, a startup focused on search-driven analytics. The intellectual property of Askdata would be integrated into the Business Technology Platform of SAP to help clients in the SAP Analytics Cloud Solutions, by making it easy to search, collaborate and interact on live data.
Jun-2022: SAS took over Kamakura Corporation, a global financial software company. The addition of Kamakura's risk analytics and credit models with SAS technology would allow SAS to offer a remarkable suite of integrated risk solutions, mainly about asset liability management (ALM) and further aspects of the financial services industry. Additionally, this acquisition would strengthen its portfolio of risk solutions.
Jan-2021: SAS completed the acquisition of Boemska, a provider of low-code development tools and analytics workload management software. Under the acquisition, the acquired technology would be integrated with SAS Viya to improve the portability of models into enterprise and mobile apps and reduce customer costs for cloud analytics, along with strengthening the SAS Viya offering.
Jan-2021: TIBCO Software acquired Information Builders, a privately held software company. To add up IB's reporting platform and flagship WebFOCUS business analytics to the portfolio and enhance the Hyperconverged Analytics business analytics strategy. Furthermore, this would also widen the range of data-driven solutions and innovation to support smarter and faster digital transformations.
Dec-2020: IBM acquired Instana, an application performance monitoring, and enterprise observability platform. Through this acquisition, IBM would propose abilities in AI-powered automation intending to control the intricacy of modern applications. Additionally, this would boost IBM's Watson AIOps portfolio with higher-quality guidance from its AI models.
Product Launch and Product Expansions
Nov-2022: IBM introduced New Software for Data Silos and Streamline Analytics and Planning. The Analytics Enterprise comprises a range of business intelligence budgeting, planning, forecasting, reporting, and dashboard. The product featured algorithms that would help users surface the latest reports, dashboards, and stories from throughout the organization to aid in decision-making.
Oct-2022: Oracle unveiled a suite of new product creations over the broad portfolio of analytics and data solutions. With the launch, Oracle would now offer new abilities across the Fusion ERM, CX, SCM, and HCM business applications to elevate insights, improve integrations and enhance predictions with the use of Oracle Autonomous Database, MySQL HeatWave, and Oracle Fusion Cloud Applications.
Jul-2022: TIBCO announced the launch of TIBCO Models, a software that simplifies and automates the monitoring and deployment process. The launch would facilitate and scale cloud-based analytic model deployment, governance, monitoring, and management. Additionally, would also authorize the team to work from any cloud service and operate it securely, at scale, and safely.
Mar-2022: Micro Focus launched the Micro Focus ValueEdge Platform, a cloud-based solution. The launch is manufactured to allow organizations to track value creation across all phases of software development. Furthermore, it would also offer actionable insights built on predictions and deep learning.
Partnerships, Collaborations & Agreements
Dec-2022: Microsoft signed a partnership with the London Stock Exchange Group, a data provider and financial markets infrastructure. The partnership would bring together the industry leader of LSEG with the breadth and trust of Microsoft cloud, intending to make next-generation services that would allow the clients to develop time-consuming processes, and automate complex, and business insights.
Sep-2022: Salesforce signed a partnership with Snowflake, a computing-based data cloud company. As a part of the partnership, the companies would offer a cloud-based data storage and analytics service, that would allow native, secure, and open access to the data as well as permit the organizations to deliver memorable and intelligent experiences based on a single source.
Aug-2022: Microsoft signed a collaboration with Nielsen Holdings plc, a data analytics and Global measurement firm. Through collaboration, the companies would launch AI data solutions for retail customers that would rev creation in retail through Artificial Intelligence (AI)-driven data analytics. This would empower the creation of high-performance and Scalable data environments.
Jun-2022: Abode partnered with The Home Depot, an American multinational home improvement retail corporation. Under the partnership, digital tools would be used such as A/B testing, web analytics, and creative cloud applications to deliver and design the latest online experience and services. This would upgrade the omnichannel experiences and provide a complete view of the client's journey.
Mar-2021: Google Cloud collaborated with Deloitte, a provider of industry-leading consulting, tax, advisory, and audit services. The aim of the collaboration would be the launch of a Security Analytics Platform, that would be a combination of Deloitte's cyber risk management and risk quantification frameworks with products of google namely Looker, Chronicle, and BigQuery.
Jun-2020: Microsoft partnered with SAS, a leader in analytics, to further advance the future of AI and analytics. As a part of the partnership, a wide set of SAS Analytics set would be available on Microsoft Azure, to help the clients to empower their growth. AI and analytics of SAS integrated with Microsoft Azure convey cloud-based SAS industry solutions.
May-2020: IBM came into Red Hat collaboration with Red Hat, Inc., a software company that provides open-source software products. Under the collaboration, both the company would launch New Edge Computing Solutions for the 5G Era, which allow the telcos and Enterprises to operate and utilize IoT, Analytics Workloads, and AI at the edge. The launch would be a combination of IBM specialization in multi-cloud environments and Red Hat open-source technology.
Market Segments covered in the Report:
By Component
By Application
By Organization Size
By End-use
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures