Global Embedded Analytics Market – Market Reports World

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The global Embedded Analytics market size was valued at USD 35714.48 Million in 2022 and will reach USD 71793.82 Million in 2028, with a CAGR of 12.34% during 2022-2028.

Embedded analytics is the integration of analytic content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g., intranets or extranets).
The goal is to help users work more intelligently by integrating and analyzing relevant data. Users can directly use these data analysis functions in daily business systems to solve high-value business problems and improve work efficiency.

Technical Progress
AI-based embedded analytics evolves workflows from previously isolated business processes to ones that blend outcomes and insights across departments, which can now collaborate with ease. The best vendors of embedded apps provide full API and SDK resources, and by definition, every library, function, call, webhook, and microservice can be interfaced with the user app as needed to provide absolute customized outcomes via all the most popular languages, and especially Python, Go Rust, and C++. Technological advancements have emerged as the key trends gaining popularity in the embedded analytics market.

Manufacturing Industry Demand Growth
Embedded analytics can be used to revolutionize innovation, improve supply chain management and efficiency, precisely target marketing and sales activities, and build and manage profitable after-sales services by leveraging the value hidden within data. Embedded analysis helps manufacturing enterprises improve operational efficiency, and supply chain management, reduce downtime, and increase productivity while reducing product development time and speeding up the time to market. Help enterprises make better strategic planning, and improve business performance and competitive advantage.

Data security issues
Many enterprises and companies rely on massive data as samples to build a large number of technical analysis models. At the same time, it will increase security risks, especially when the data involved contains sensitive information. The external security environment is becoming more and more severe, and enterprises also put forward higher security requirements for purchasing related information systems (OA, ERP, CRM, etc.).

Region Overview:
Asia Pacific had the highest growth rate of all regions, growing at a CAGR of 19.49% over 2017-2022.

Company Overview:
Oracle, IBM Corporation, SAS Institute were the top 3 players in the market in 2022, taking up a market share of 21.02% together.

Oracle
Oracle is a large global enterprise technology software company. The Oracle Cloud offers a complete suite of integrated applications for Sales, Service, Marketing, Human Resources, Finance, Supply Chain and Manufacturing.

IBM Corporation
IBM produces and sells computer hardware, middleware and software, and provides hosting and consulting services in areas ranging from mainframe computers to nanotechnology. Its Global Technology Services segment provides information technology (IT) infrastructure and platform services. The Systems segment provides infrastructure platforms to help meet the requirements of multi-cloud and enterprise AI workloads.
Jul 6, 2022, IBM Capture Growing Market Opportunity for Data Observability with Databand.ai Acquisition

SAS Institute
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 70,000 sites improve performance and deliver value by making better decisions faster. Jan 07, 2021, SAS acquires Boemska to accelerate AI integration into cloud marketplace and third-party applications

Segmentation Overview:
Among different product types, Marketing and Sales segment is anticipated to contribute the largest market share in 2027.

Information Technology
The commercial use of IT encompasses both computer technology and telecommunications. An embedded analytics solution for IT operations provides information and analytics that allows users to work more efficiently.

Marketing and Sales
Tracking the sales performance of their business is one of a sales manager's daily tasks. They can identify strategies that are working well and areas they need to invest in, drawing strategic plans to prevent risk and increase revenue. With embedded analytics, sales representatives can speed up this process by leveraging a sales activity tracker in their daily software.

Finance
Embedded finance analytics is the term that describes the merging of non-financial service providers with financial services. For example, merging a retail company with a payment processing service. This is done through a simple application or web integration.

Production
Manufacturing analytics is the process of using data and data technologies to optimize supply chain and processes, increase performance, ensure high quality and reduce costs. Data analytics offers manufacturers the ability to gather, store, process and utilize data in their daily operations by drawing key insights about improvement and optimization opportunities.

Human Resources
Embedded analysis for Human Resources helps Human Resources professionals to manage their operations more effectively, enhance recruitment practices and improve data visualization.

Application Overview:
By application, the Independent Software Vendor (ISV) segment occupied the biggest share from 2017 to 2022.

Independent Software Vendor
An Independent Software Vendor (ISV) is a business or an individual that builds, develops and sells consumer or enterprise software that is consumed by end users. In other words, an Independent Software Vendor is a company whose main function is to distribute its software.

Information Providers
An Individual or Organization that provides collected information. An Information Provider possesses sets of information (that it has generated, collected, produced, bought or otherwise acquired) and is willing to supply that information (data or referential metadata) to the statistical office.

IoT Sectors
The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, all collecting and sharing data. Thanks to the arrival of super-cheap computer chips and the ubiquity of wireless networks, it's possible to turn anything, from something as small as a pill to something as big as an airplane, into a part of the IoT. Connecting up all these different objects and adding sensors to them adds a level of digital intelligence to devices, enabling them to communicate real-time data without involving a human being.

The Embedded Analytics market report covers sufficient and comprehensive data on market introduction, segmentations, status and trends, opportunities and challenges, industry chain, competitive analysis, company profiles, and trade statistics, etc. It provides in-depth and all-scale analysis of each segment of types, applications, players, 5 major regions and sub-division of major countries, and sometimes end user, channel, technology, as well as other information individually tailored before order confirmation.

Meticulous research and analysis were conducted during the preparation process of the report. The qualitative and quantitative data were gained and verified through primary and secondary sources, which include but not limited to Magazines, Press Releases, Paid Databases, Maia Data Center, National Customs, Annual Reports, Public Databases, Expert interviews, etc. Besides, primary sources include extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs, and marketing executives, downstream distributors, as well as end-clients.

In this report, the historical period starts from 2018 to 2022, and the forecast period ranges from 2023 to 2028. The facts and data are demonstrated by tables, graphs, pie charts, and other pictorial representations, which enhances the effective visual representation and decision-making capabilities for business strategy.

Key Companies in the global Embedded Analytics market covered in Chapter 4:
Amazon QuickSight
Yellowfin International
Domo Everywhere
Qlik
Tableau Software Inc.
Zoho Analytics
Looker
SAP SE
Opentext Corporation
Sisense
GoodData
Oracle
BIRSt (Infor)
Tibco Software
Microsoft
Logi Analytics
Microstrategy Incorporated
IBM Corporation
SAS Institute

In Chapter 12 and Chapter 14.1, on the basis of types, the Embedded Analytics market from 2018 to 2028 is primarily split into:
Information Technology
Marketing and Sales
Finance
Production
Human Resources
Others

In Chapter 13 and Chapter 14.2, on the basis of the Downstream Industry, the Embedded Analytics market from 2018 to 2028 covers:
Independent Software Vendor (ISV)
Information Providers
IoT Sectors
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, history and forecast (2018-2028) of the following regions are covered in Chapters 6, 7, 8, 9, 10, 11, 15:
North America (United States, Canada, Mexico)
Europe (Germany, United Kingdom, France, Italy, Spain)
Asia Pacific (China, Japan, South Korea, India, Southeast Asia)
South America (Brazil, Argentina)
Middle East & Africa (Saudi Arabia, UAE, South Africa)

Outline:
Chapter 1 begins with the Embedded Analytics market scope and definition, product segment introduction, global overall market size, as well as market dynamics scenarios such as opportunities, challenges, and industry development trends under inflation. It offers a high-level view of the current state of the Embedded Analytics market and its likely evolution in the short to mid-term and long term.

Chapter 2 provides Embedded Analytics industry chain analysis, covering raw materials analysis, cost structure, price estimate, and forecast, along with price-impacting factors, downstream channels, and major customers. It aims to help readers to grab insights into product upstream, midstream, and downstream fields.

Chapter 3 depicts Embedded Analytics industry competitive analysis regarding market concentration rate, saturation rate, feasibility analysis from new entrants, as well as substitute's status and trends. It indicates the developing space and prospects of the current industry.

Chapter 4 analyzes extensive company profiles, comprising company basic info, product or service profiles, and sales, price, value, gross, and gross margin 2018-2023. It incorporates the Embedded Analytics market ranking, benchmarks, and company business portfolio.

Chapter 5 presents trade statistics of import and export volume from 2018-2023, demonstrating domestic and international market comparisons in specific countries.

Chapters 6-10 highlight Embedded Analytics market status at the regional and country levels, including 5 major regions of North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America. The region and country list in the sample is only for reference, and it can be adjusted as required.

Chapter 11 involves geographical market figures of sales, value, market share, and growth rate. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of each specific region.

Chapters 12-13 evaluate the Embedded Analytics market based on different types and applications. It focuses on sales and value of 2018-2023 from both vertical and horizontal perspectives.

Chapters 14-15 elaborate on the Embedded Analytics market forecast data from 2023-2028, segmented by types and applications, regions, and major countries, helping readers to know future aspects and growth trends.

Chapter 16 ends with an elaboration of data sources and research methodology. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.