Global Business Intelligence Market
Tamaño del mercado en miles de millones de dólares
Tasa de crecimiento anual compuesta (CAGR) : %
Período de pronóstico |
2023 –2030 |
Tamaño del mercado (año base) |
USD 27.11 Billion |
Tamaño del mercado (año de pronóstico) |
USD 58.75 Billion |
Tasa de crecimiento anual compuesta (CAGR) |
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Jugadoras de los principales mercados |
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>Mercado global de inteligencia empresarial, por componente (plataforma, software, solución, servicios), tipo de datos (datos estructurados, datos no estructurados, datos semiestructurados), función (recursos humanos, finanzas, operaciones, ventas y marketing), tecnología (móvil, nube, redes sociales, otros), modelo de implementación (nube, bajo demanda, local), tamaño de la organización (pequeñas y medianas empresas, grandes empresas), aplicación (aplicación analítica de CRM, gestión de estrategia y desempeño financiero, operaciones analíticas de planificación de producción, mantenimiento predictivo de activos, detección de fraude y gestión de seguridad, optimización de la cadena de suministro/operaciones, gestión y optimización de redes, gestión de la fuerza laboral , gestión de ventas y marketing, gestión de operaciones, otros), vertical de la industria (banca, servicios financieros y seguros (BFSI), telecomunicaciones y TI, venta minorista y bienes de consumo, atención médica y ciencias de la vida, fabricación, gobierno y defensa, servicios públicos, energía y servicios públicos, transporte y logística, turismo y hospitalidad, medios y entretenimiento, otros) - Tendencias de la industria y pronóstico hasta 2030.
Análisis y tamaño del mercado de inteligencia empresarial
Gracias a la aparición del big data y a la creciente necesidad de tomar decisiones empresariales importantes con rapidez, las soluciones de inteligencia empresarial (BI) y analítica han ganado una cuota de mercado considerable en los últimos diez años. En los últimos diez años, la cuota de mercado de las soluciones de inteligencia empresarial y analítica ha aumentado significativamente debido a la aparición del big data y a la creciente necesidad de tomar decisiones empresariales importantes con rapidez. Los beneficios de la inteligencia empresarial y de las visualizaciones de datos, la creciente necesidad de obtener información valiosa a partir de datos no utilizados y la inteligencia empresarial integrada son elementos adicionales que se prevé que persistirán a medida que avance la tecnología y se expanda la economía.
Data Bridge Market Research analiza que el mercado de inteligencia empresarial, valorado en USD 27,11 mil millones en 2022, alcanzará los USD 58,75 mil millones para 2030, creciendo a una CAGR del 10,15% durante el período de pronóstico de 2023 a 2030. Además de los conocimientos del mercado, como el valor de mercado, la tasa de crecimiento, los segmentos del mercado, la cobertura geográfica, los actores del mercado y el escenario del mercado, el informe de mercado curado por el equipo de Data Bridge Market Research incluye un análisis experto en profundidad, análisis de importación / exportación, análisis de precios, análisis de consumo de producción y análisis pestle.
Alcance y segmentación del mercado de inteligencia empresarial
Métrica del informe |
Detalles |
Período de pronóstico |
2023 a 2030 |
Año base |
2022 |
Años históricos |
2021 (Personalizable para 2015 - 2020) |
Unidades cuantitativas |
Ingresos en millones de USD, volúmenes en unidades, precios en USD |
Segmentos cubiertos |
Component (Platform, Software, Solution, Services), Data Type (Structured Data, Unstructured Data, Semi-Structured Data), Function (Human Resource, Finance, Operations, Sales and Marketing), Technology (Mobile, Cloud, Social, Others), Deployment Model (Cloud, On-Demand, On-Premises), Organization Size(Small and Medium-Sized Enterprises, Large Enterprises), Application (CRM Analytic Application, Financial Performance and Strategy management, Production Planning Analytic Operations, Predictive Asset Maintenance, Fraud Detection and Security Management, Supply Chain Optimization/ Operations, Network Management and Optimization, Workforce Management, Sales and Marketing Management, Operations Management, Others), Industry Vertical (Banking, Financial Services, and Insurance (BFSI), Telecommunications and IT, Retail and Consumer Goods, Healthcare and Life Sciences, Manufacturing, Government and Defense, Public Services, Energy and Utilities, Transportation and Logistics, Tourism and Hospitality, Media and Entertainment, Others) |
Countries Covered |
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America. |
Market Players Covered |
SAP SE (Germany), IBM (U.S.), Oracle (U.S.), Cisco Systems, Inc. (U.S.), Microsoft (U.S.), TABLEAU SOFTWARE, LLC, (U.S.), QlikTech International AB, (U.S.), fish, Inc. product. (U.S.), Mode Analytics, Inc., (U.S.), Looker (U.S.), Infor. (U.S.), ConnectWise (U.S.), Hitachi Vantara LLC (U.S.), Sisense Inc. (U.S.), SAS Institute Inc. (U.S.), MICROSTRATEGY INCORPORATED (U.S.), Cloud Software Group, Inc. (U.S.), Pegasystems Inc. (U.S.), Verizon (U.S.), RACKSPACE TECHNOLOGY (U.S.), ATandT Intellectual Property. (U.S.), Juniper Networks, Inc. (U.S.) |
Market Opportunities |
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Market Definition
Business intelligence (BI) is a procedural and technical framework for storing, collecting, and analyzing data produced by an organization's operations. Process analysis, data mining, descriptive analysis, and performance benchmarking are all included in it. With the help of business intelligence, businesses can base their choices on logical information about market trends and consumer spending habits. For example, a large organization's systems contain data because CRM and ERP are used to power those operations. As a result, listing all of the data that the company generates is the first step in using business intelligence.
Business Intelligence Market Dynamics
Drivers
- Acceptance of data analytics drives the market
The business intelligence market is anticipated due to the increasing acceptance of data analytics in end-use industries to analyze data and make more trustworthy business decisions; the market is expected to grow more quickly during the forecast period. The main factors anticipated to fuel the business intelligence market growth include increased e-commerce usage and growing acceptance of data-oriented business models by small, medium, and large organizations, creating market expansion.
- Complex event processing techniques drive the market.
Vendors and users continue to place a lot of emphasis on using business intelligence to process large amounts of data. One of the key drivers of using the cloud to access business intelligence and analytics is the future of IoT and big data. Most studies show that as more work is done outside the traditional workplace, there is an increasing demand for mobile business intelligence capabilities. The use of predictive and prescriptive analytics tools has improved business intelligence analysis. To enhance the decision-making process, complex event processing, graph analysis, and estimation methods drive market growth.
- Enhanced and optimized workflows through business intelligence drive market development
Mobile business intelligence enables firms to get insights through data analysis for employing software designed for mobile devices. It provides real-time data for consumers to understand on portable devices like tablets and smartphones, empowering them to make informed decisions.. The penetration of BI within businesses has increased, and assistance in the form of additional information is provided by implementing mobile business intelligence (BI) features into operational business developments. As a result, decision-making abilities are accelerated while data is expanded, and the time needed to find pertinent information is reduced. Thus, mobile business intelligence (BI) offers greater information availability, quicker response times, more effective working, shorter workflows, and enhanced internal communication.
Opportunities
- Increasing use of cloud-based business solutions surges the market.
The high volume of data that supports the expansion of the data market in the structure is the increasing use of the internet throughout the world. The free global data market's development is greatly aided by the emergence of the Internet of Things (IoT) and Big Data. Business intelligence-related services such as interactive dashboard reporting and intelligent KPI monitoring or dynamic are included in cloud-based business intelligence (BI) applications. As internet usage and IoT technology grow, cloud-based tools and services become increasingly popular. The business intelligence (BI) market's growth is being surged by SMEs' adoption of cloud-based solutions, which create lucrative growth opportunities.
- Demand for business intelligence (BI) solutions is being driven by increasing analytics use.
The three leading solutions are business intelligence platforms, corporate performance management (CPM) suites, and analytical apps. The demand for analytical business intelligence solutions is on the rise, and as a result, solutions currently have the largest market share. Platforms for analytics and business intelligence (ABI) allow people with less technical expertise to model, explore, analyze, and manage data, which may open up new opportunities.
Restraints/Challenges
- High implementation costs and high levels of resistance limit the market.
The main factors impeding the business intelligence market are high implementation costs and high resistance to business intelligence adoption. The initial cost may include the fees of several licenses that the company will need or might need to add in the future, as well as the cost of the hardware required to run the solution effectively. The business intelligence tool is complex for non-technical business users to use independently and does not assist the right people in performing their jobs more effectively. The report provides in-depth details on the market growth factors and business intelligence market growth inhibitors. However, the inability to demonstrate the return on investment for business intelligence is anticipated to limit its growth.
- Cloud deployments may even limit market expansion.
Integration of clients and software users is a significant barrier for businesses that provide business intelligence and analytics. With many advantages, cloud-based business intelligence solutions are in high demand; however, cloud deployments have several disadvantages, such as security and data integration issues with on-premises data. Integrating various business intelligence (MDM), big data, analytics, and software applications in this market is challenging. However, licensing and installing business intelligence costs a sizable sum, likely proving difficult for the industry's growth.
This business intelligence market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the business intelligence market contact Data Bridge Market Research for an analyst brief, our team will help you take an informed market decision to achieve market growth.
Recent Developments
- In 2022, In order to transform patient care with the help of big data, Sisense, the top AI-driven platform for data analytics, teams up with Gerimedica, a multidisciplinary electronic medical record (EMR) provider that caters to the aged-care market. Since implementing Sisense, Gerimedica has seen an average decline of 6% in the number of days each patient spends in the hospital, saving each patient €540.
- In 2022, The Analytics Automation Company Alteryx Inc. unveiled innovations that enable businesses to implement cloud analytics, democratize insights, and maintain data governance. By providing intelligent data transformation and wisdom in the cloud at scale, Alteryx meets these needs.
- In 2022, The merger of Information Resources Inc (IRI) and NPD resulted in a global technology, analytics, and data provider that can provide more than 7000 clients with a thorough, accurate understanding of consumer behavior and overall retail purchasing and consumption trends across a variety of industries. According to the vendors, the combined company will enable brands and retailers to work together, provide better customer service, address trends, and use more potent insights to spur growth.
- In 2022, The acquisition of Neal Analytics, a cloud, data, engineering, and AI Microsoft Gold consulting partner by Fractal, a global provider of advanced analytics and AI to Fortune 500 companies, will scale AI and drive decision-making. Additionally, it boosts the influence of fractal in the Pacific Northwest, Canada, and India.
Global Business Intelligence Market Scope
The business intelligence market is segmented on the basis of component, data type, function, technology, deployment model, organizational size, application and industry vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component
- Platform
- Software
- Solution
- Dashboards and Scoreboards
- Data integration and ETL
- Reporting and Visualization
- Query and analysis
- Corporate Performance management (CPM) Suites
- Business intelligence platform
- Analytical application
- Services
- Consulting
- Deployment and Integration
- Support and maintenance
Data Type
- Structured Data
- Unstructured Data
- Semi-Structured Data
Function
- Human Resource
- Finance
- Operations
- Sales and marketing
Technology
- Mobile
- Cloud
- Social
- Others
Deployment Model
- Cloud
- On-Demand
- On-Premises
Organization Size
- Small and Medium-Sized Enterprises
- Large Enterprises
Application
- CRM analytic application
- Financial Performance and Strategy management
- Production planning analytic operations
- Predictive Asset Maintenance
- Fraud Detection and Security Management
- Supply Chain Optimization/ operations
- Network Management and Optimization
- Workforce Management
- Sales and Marketing Management
- Operations Management
- Others
- Service operations
Industry Vertical
- Banking, Financial Services, and Insurance (BFSI)
- Telecommunications and IT
- Retail and Consumer Goods
- Healthcare and Life Sciences
- Manufacturing
- Government and Defense
- Public services
- Energy and Utilities
- Transportation and Logistics
- Tourism and Hospitality
- Media and Entertainment
- Others
- Real Estates
- Education
Global Business Intelligence Market Regional Analysis/Insights
The business intelligence market is analysed and market size insights and trends are provided by country, component, data type, function, technology, deployment model, organizational size, application and industry vertical as referenced above.
The countries covered in the business intelligence market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the market and will continue to flourish its trend of dominance during the forecast period. The major factors attributable to the region’s dominance are an expanding trend, such as the proliferation of data, escalating competition, the use of the cloud, and the growing acceptance of business intelligence functions and digitalization across many industries. The high adoption rate of cloud strategies has accelerated the use of business intelligence.
Asia Pacific will undergo the highest growth rate during the forecast period owing to the developing countries' increasing needs. Some of the key factors anticipated to fuel the growth of the business intelligence market in the region include the significant level of acceptance for business intelligence software and tools, outsourcing activities for cloud deployment, and the need for consumer insights.
La sección de países del informe también proporciona factores de impacto de mercado individuales y cambios en la regulación en el mercado a nivel nacional que afectan las tendencias actuales y futuras del mercado. Los puntos de datos como el análisis de la cadena de valor aguas abajo y aguas arriba, las tendencias técnicas y el análisis de las cinco fuerzas de Porter, los estudios de casos son algunos de los indicadores utilizados para pronosticar el escenario del mercado para países individuales. Además, la presencia y disponibilidad de marcas globales y sus desafíos enfrentados debido a la competencia grande o escasa de las marcas locales y nacionales, el impacto de los aranceles nacionales y las rutas comerciales se consideran al proporcionar un análisis de pronóstico de los datos del país.
Análisis del panorama competitivo y la cuota de mercado de inteligencia empresarial
El panorama competitivo del mercado de inteligencia empresarial ofrece detalles por competidor. Los detalles incluidos son una descripción general de la empresa, las finanzas de la empresa, los ingresos generados, el potencial de mercado, la inversión en investigación y desarrollo, las nuevas iniciativas de mercado, la presencia global, los sitios e instalaciones de producción, las capacidades de producción, las fortalezas y debilidades de la empresa, el lanzamiento de productos, la amplitud y variedad de productos, y el dominio de las aplicaciones. Los puntos de datos anteriores proporcionados solo están relacionados con el enfoque de las empresas en relación con el mercado de inteligencia empresarial.
Algunos de los principales actores que operan en el mercado de inteligencia empresarial son:
- SAP SE (Alemania)
- IBM (Estados Unidos)
- Oracle (Estados Unidos)
- Cisco Systems, Inc. (Estados Unidos)
- Microsoft (Estados Unidos)
- TABLEAU SOFTWARE, LLC, (EE. UU.)
- QlikTech International AB, (Estados Unidos)
- Producto de Fish, Inc. (EE. UU.)
- Mode Analytics, Inc. (Estados Unidos)
- Mirador (Estados Unidos)
- Información (EE.UU.)
- ConnectWise. (Estados Unidos)
- Hitachi Vantara LLC (Estados Unidos)
- Sisense Inc. (Estados Unidos)
- SAS Institute Inc. (Estados Unidos)
- MICROSTRATEGY INCORPORATED (EE.UU.)
- Cloud Software Group, Inc. (Estados Unidos)
- Pegasystems Inc. (Estados Unidos)
- Verizon (Estados Unidos)
- TECNOLOGÍA RACKSPACE (EE. UU.)
- Propiedad intelectual de AT&T (EE. UU.)
- Juniper Networks, Inc. (Estados Unidos)
SKU-
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- Análisis de la competencia con panel interactivo
- Últimas noticias, actualizaciones y análisis de tendencias
- Aproveche el poder del análisis de referencia para un seguimiento integral de la competencia
Metodología de investigación
La recopilación de datos y el análisis del año base se realizan utilizando módulos de recopilación de datos con muestras de gran tamaño. La etapa incluye la obtención de información de mercado o datos relacionados a través de varias fuentes y estrategias. Incluye el examen y la planificación de todos los datos adquiridos del pasado con antelación. Asimismo, abarca el examen de las inconsistencias de información observadas en diferentes fuentes de información. Los datos de mercado se analizan y estiman utilizando modelos estadísticos y coherentes de mercado. Además, el análisis de la participación de mercado y el análisis de tendencias clave son los principales factores de éxito en el informe de mercado. Para obtener más información, solicite una llamada de un analista o envíe su consulta.
La metodología de investigación clave utilizada por el equipo de investigación de DBMR es la triangulación de datos, que implica la extracción de datos, el análisis del impacto de las variables de datos en el mercado y la validación primaria (experto en la industria). Los modelos de datos incluyen cuadrícula de posicionamiento de proveedores, análisis de línea de tiempo de mercado, descripción general y guía del mercado, cuadrícula de posicionamiento de la empresa, análisis de patentes, análisis de precios, análisis de participación de mercado de la empresa, estándares de medición, análisis global versus regional y de participación de proveedores. Para obtener más información sobre la metodología de investigación, envíe una consulta para hablar con nuestros expertos de la industria.
Personalización disponible
Data Bridge Market Research es líder en investigación formativa avanzada. Nos enorgullecemos de brindar servicios a nuestros clientes existentes y nuevos con datos y análisis que coinciden y se adaptan a sus objetivos. El informe se puede personalizar para incluir análisis de tendencias de precios de marcas objetivo, comprensión del mercado de países adicionales (solicite la lista de países), datos de resultados de ensayos clínicos, revisión de literatura, análisis de mercado renovado y base de productos. El análisis de mercado de competidores objetivo se puede analizar desde análisis basados en tecnología hasta estrategias de cartera de mercado. Podemos agregar tantos competidores sobre los que necesite datos en el formato y estilo de datos que esté buscando. Nuestro equipo de analistas también puede proporcionarle datos en archivos de Excel sin procesar, tablas dinámicas (libro de datos) o puede ayudarlo a crear presentaciones a partir de los conjuntos de datos disponibles en el informe.