Se prevé que el tamaño del mercado de análisis predictivo crezca de 12.492,94 millones de dólares en 2022 a 38.038,83 millones de dólares en 2028; se espera que crezca a una tasa compuesta anual del 20,4 % entre 2022 y 2028.
El análisis predictivo, una rama del análisis avanzado, utiliza datos históricos combinados con modelos estadísticos, técnicas de extracción de datos y aprendizaje automático. hacer predicciones sobre resultados futuros. Las empresas emplean análisis predictivos para encontrar patrones en sus datos, lo que les ayuda a identificar riesgos y oportunidades. Este tipo de análisis avanzado suele asociarse con Big Data y ciencia de datos. Gestionar los datos que residen en bases de datos transaccionales, archivos de registro de dispositivos, imágenes, vídeos, sensores y otras fuentes de datos es el principal desafío al que se enfrentan las empresas hoy en día. Los científicos de datos utilizan algoritmos de aprendizaje profundo y aprendizaje automático para encontrar patrones y predecir eventos futuros para recopilar información a partir de estos datos. Estos algoritmos incluyen regresión lineal y no lineal, redes neuronales, máquinas de vectores de soporte y árboles de decisión. Los conocimientos adquiridos a través del análisis predictivo se pueden utilizar aún más en el análisis prescriptivo.
Información estratégica:
Impacto de la pandemia de COVID-19 en el mercado de análisis predictivo de Asia Pacífico
En 2020, APAC se vio gravemente afectada por el brote de COVID-19. Con la mayor población del mundo, China enfrentaba un mayor riesgo de propagación de la infección que cualquier otro país de esta región. Según la Organización para la Cooperación y el Desarrollo Económico (OCDE), la pandemia también afectó a economías importantes como India, Australia y Japón. Además, en 2021, las oficinas en varios países de APAC reanudaron sus operaciones debido a la flexibilización de las restricciones de bloqueo y al progreso en el proceso de vacunación. La pandemia de COVID-19 interrumpió las operaciones de electrónica y comercio. empresas de semiconductores, clientes y socios por un período indefinido debido a restricciones de viaje y cierres de negocios, lo que influye gravemente en los ingresos y reduce el gasto tecnológico. Se espera que las empresas de la región inviertan más dinero y energía en identificar soluciones de gestión inteligentes diseñadas para gestionar las amenazas a la seguridad asociadas con los modelos de trabajo desde casa, lo que probablemente se convierta en una nueva normalidad en muchos países. Por lo tanto, se estima que el mercado del análisis predictivo experimentará un crecimiento sustancial en los próximos años.
regiones lucrativas para el mercado de análisis predictivo
Perspectivas del mercado: Mercado de análisis predictivo
Aparición de tecnologías AIoT para impulsar el crecimiento del mercado de análisis predictivo en el futuro
La inteligencia artificial de las cosas (AIoT) es la combinación de la inteligencia artificial (IA) tecnologías e infraestructura de Internet de las cosas (IoT). AIoT tiene como objetivo crear operaciones de IoT más eficientes, mejorar las interacciones entre humanos y máquinas y mejorar la gestión y el análisis de datos. La IA es la simulación de procesos de inteligencia humana mediante máquinas, especialmente sistemas informáticos, y se utiliza comúnmente en el procesamiento del lenguaje natural, el reconocimiento de voz y la visión artificial. IoT es un sistema de dispositivos informáticos, máquinas mecánicas y digitales u objetos interdependientes con identificadores únicos y la capacidad de transmitir datos a través de una red sin necesidad de interacción de persona a persona o de persona a computadora. La AIoT es transformadora y mutuamente beneficiosa para ambos tipos de tecnologías, ya que la IA agrega valor a la IoT a través de capacidades de aprendizaje automático y mejora la toma de decisiones, mientras que la IoT agrega valor a la IA a través de la conectividad, la señalización y el intercambio de datos. AIoT puede mejorar las empresas y los servicios creando más valor a partir de los datos generados por IoT. La IA permite que el dispositivo IoT utilice big data recopilados para analizar, aprender y tomar mejores decisiones sin necesidad de interferencia humana. Con la integración de la IA, IoT crea un sistema mucho más inteligente. El objetivo de disponer de estos sistemas es realizar juicios precisos sin necesidad de intervención humana. La inclusión de 5G es una de las mayores innovaciones posibles en AIoT. 5G está diseñado para permitir una transmisión más rápida de archivos de datos de gran tamaño en dispositivos IoT a través de un mayor ancho de banda y una menor latencia. La AIoT puede ayudar a resolver problemas operativos existentes, como los costos asociados con una gestión eficaz del capital humano o la complejidad de las cadenas de suministro y los modelos de entrega, brindando una oportunidad lucrativa para el crecimiento del mercado de análisis predictivo.
Componente -Información del mercado de análisis predictivo basada en
El análisis del mercado de análisis predictivo, por componente, se divide en solución y servicio. El segmento de soluciones representó una mayor participación de mercado de análisis predictivo en 2021. Las soluciones de análisis predictivo implican extraer información de fuentes de datos existentes, identificar patrones y predecir tendencias y resultados futuros. Utiliza diferentes técnicas, incluida la inteligencia artificial, el modelado estadístico y el aprendizaje automático, para realizar estas predicciones. Las soluciones de análisis predictivo proporcionan un método confiable para realizar pronósticos porque se centran en la gestión de riesgos y tienen en cuenta escenarios hipotéticos. Además, ayuda a las organizaciones a adaptarse a las necesidades de la industria e innovar sobre la marcha. El mercado de análisis predictivo para soluciones se subsegmenta en análisis de riesgos, análisis de marketing, análisis de ventas, análisis de clientes y otros.
Información sobre el mercado de análisis predictivo basado en modos de implementación
El mercado de análisis predictivo El análisis, por modo de implementación, se divide en local y basado en la nube. El segmento basado en la nube representó una mayor participación de mercado de análisis predictivo en 2021. Muchas organizaciones utilizan múltiples entornos de nube y, posiblemente, una gama de soluciones personalizadas de monitoreo, gestión y resolución de problemas de infraestructura. Para ganar visibilidad en el entorno híbrido de múltiples nubes, los equipos de Cloud Ops que utilizan métodos de escaneo tradicionales pueden confiar en capacidades manuales e ignorar las piezas de información correlacionadas en el entorno subyacente. El análisis predictivo permite a los usuarios centrarse en la información obtenida de los datos en lugar de recopilar, procesar y analizar información de forma independiente desde múltiples entornos de nube. Independientemente de la complejidad de la red en la nube, los algoritmos avanzados de aprendizaje automático que potencian las capacidades de análisis predictivo proporcionan la abstracción necesaria entre la compleja infraestructura subyacente y el análisis de datos.
Los actores que operan en el mercado del análisis predictivo se centran principalmente en desarrollo de productos avanzados y eficientes.
- En 2022, SAP adquirió Askdata, que es una empresa de análisis basada en búsquedas. Es probable que la integración de Askdata con SAP permita a sus clientes tomar decisiones mejor informadas al maximizar los conocimientos empresariales basados en capacidades de IA.
- En 2020, HPE adquirió Determined AI, una startup con sede en San Francisco que ofrece software. para acelerar el entrenamiento de modelos con sus capacidades de ML.
Perfiles de empresas:
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- Google LLC
- SAS Institute Inc.
- Salesforce.com, inc.
- Servicios web de Amazon
- Hewlett Packard Enterprise Development LP (HPE)
- NTT DATA Corporation
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The global predictive analytics market was valued at US$ 10,578.88 Mn in 2021
The key driving factors impacting the predictive analytics market are rise in adoption of big data technologies and increase in uptake of predictive analytics tools.
The key players holding the major market share of predictive analytics are IBM Corporation; Microsoft Corporation; Oracle Corporation; SAP SE; Google LLC; SAS Institute Inc.; Salesforce.com, inc.; Amazon Web Services; Hewlett Packard Enterprise Development LP (HPE); and NTT DATA Corporation
North America is the fastest-growing regional market in the global predictive analytics market in 2021.
US, UK, India, South Africa, and Brazil are the countries are registering a high growth rate during the forecast period.
The services segment led the predictive analytics in 2021.
The global predictive analytics market size is projected to reach US$ 38,038.83 Mn by 2028.
The incremental growth of the predictive analytics market during the forecast period is US$ 25,545.9 million with a CAGR of 20.4%
The List of Companies - Predictive Analytics Market
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- Google LLC
- SAS Institute Inc.
- Salesforce.com, inc.
- Amazon Web Services
- Hewlett Packard Enterprise Development LP (HPE);
- NTT DATA Corporation
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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