Mercado de inteligencia aumentada: mapeo competitivo y perspectivas estratégicas 2031

  • Report Code : TIPRE00008793
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 166
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Se espera que el mercado de inteligencia aumentada crezca de 8948,4 millones de dólares en 2020 a 74619,2 millones de dólares en 2027; se estima que crecerá a una tasa compuesta anual del 35,4 % entre 2020 y 2027.

La adopción de inteligencia aumentada para la inteligencia digital se atribuye al crecimiento del mercado. La inteligencia aumentada, un nuevo modelo de asociación entre máquinas y humanos, está evolucionando y centrándose en el valor de que los humanos y la automatización inteligente funcionen juntos. Los trabajadores digitales, en forma de robots de software RPA (automatización robótica de procesos), ahora pueden concentrarse en mejorar los esfuerzos de automatización con aprendizaje automático e inteligencia artificial para trabajar junto con los humanos. De hecho, se prevé que la contribución de los trabajadores digitales aumente aproximadamente un 50 % en los próximos dos años, lo que demuestra una transición real hacia un futuro desarrollado en torno a la colaboración entre humanos y máquinas. También se prevé que la inversión sustancial en tecnologías de inteligencia aumentada para entregar inteligencia digital aumente en los próximos días, a medida que los líderes empresariales se den cuenta cada vez más de las ventajas de invertir en automatización inteligente. Varias organizaciones están implementando tecnología relacionada con la digitalización, automatización y optimización de los flujos de trabajo de documentos para reducir sus costos. Deloitte ha observado el aumento de la inteligencia aumentada en varias empresas e informó que ~37% de las empresas ya han invertido más de 5 millones de dólares en la transformación digital. La compañía anticipa que se prevé que esta inversión continúe en los próximos años.

Impacto de la pandemia de COVID-19 en el mercado de inteligencia aumentada

En Durante la crisis de la COVID-19, la infraestructura digital desempeña un papel importante a la hora de visualizar y modelar los brotes. A medida que el brote continúa propagándose por todo el mundo, se ha vuelto imperativo que las empresas busquen soluciones innovadoras para mantenerse por delante de la competencia. Las empresas ven esta situación como una oportunidad lucrativa. Se centran en los requisitos operativos diarios a expensas de invertir en el negocio digital y la resiliencia a largo plazo. Además, la mayor capacidad corporativa de trabajo colectivo a distancia, el amplio reconocimiento del valor de la transformación digital y las TI entre toda la fuerza laboral, y la capacidad de comercializar productos en línea y desarrollar negocios han generado un impacto significativo en el mercado digital en el escenario actual. . Por ejemplo, para mejorar la cadena de valor de los productos/servicios de pago y banca digital, los bancos se están centrando en adoptar tecnologías de vanguardia, como la inteligencia artificial, el aprendizaje automático, la nube, la interfaz hombre-computadora, el Internet de las cosas y la cadena de bloques. Por lo tanto, hoy en día, las empresas se están centrando en incorporar rápidamente infraestructura digital dentro de sus plataformas de automatización para obtener una ventaja competitiva significativa, lo que, a su vez, crea oportunidades lucrativas para que el mercado de inteligencia aumentada crezca en el futuro cercano.

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regiones lucrativas en el mercado de inteligencia aumentada


 

Perspectivas del mercado: mercado de inteligencia aumentada

Desarrollo de Tiendas de conveniencia totalmente automatizadas

Varias innovaciones minoristas están demostrando el futuro del sector minorista tanto en el mercado offline como en el digital. Por ejemplo, un corredor con pantalla táctil desarrollado por Inspiration Corridor utiliza reconocimiento de imágenes e historiales de compras para sugerir artículos a los clientes, así como para localizarlos. Además, SMARTCART, desarrollado por Foodstuffs, utiliza tecnología de visión por computadora para reconocer los productos cuando se colocan dentro de la canasta. Luego, los consumidores pueden pagar automáticamente los productos utilizando la aplicación móvil vinculada a sus datos de pago. Además, una nueva startup, conocida como DeepMagic, utiliza innovaciones digitales para mejorar la experiencia de las tiendas físicas. Con la inteligencia artificial de aprendizaje profundo, DeepMagic facilita a los minoristas la creación de tiendas físicas desatendidas que están completamente automatizadas. DeepMagic ofrece Qick Kiosk, una tienda emergente, que está completamente automatizada y se instala con un software de reconocimiento de imágenes que permite que estas minitiendas desatendidas funcionen de forma segura. Los minoristas de conveniencia en EE. UU. y Europa se están enfocando en adoptar nuevas tecnologías, incluida la inteligencia artificial, para mejorar su pronóstico de la demanda, transformar las cadenas de suministro, mejorar el surtido y la planificación del espacio, y deleitar a los compradores con una experiencia superior en la tienda. Además, los expertos de la industria destacan que se espera que la inteligencia aumentada proporcione un impacto empresarial transformador en los próximos años. Así, con nuevas tecnologías como el reconocimiento de imágenes, la inteligencia artificial y la inteligencia aumentada, los actores del mercado pueden centrarse aún más en invertir en el desarrollo de tiendas de conveniencia totalmente automatizadas.


Conocimientos basados en tecnología

Basado en la tecnología, el mercado de la inteligencia aumentada se segmenta en aprendizaje automático, procesamiento del lenguaje natural, visión artificial, computación consciente del contexto y otros. El segmento de aprendizaje automático tuvo la mayor cuota de mercado en 2019.

Información estratégica

Los actores que operan en el mercado de inteligencia aumentada se centran principalmente en el desarrollo de productos avanzados y eficientes.

  • En 2020, IBM anunció el lanzamiento de Watson Advertising Social Targeting con Influential, una nueva solución que aprovecha la inteligencia artificial (IA) para ayudar a las marcas a identificar personas influyentes que mejor se alineen con sus valores de marca. La nueva solución dentro del conjunto de productos de segmentación de Watson Advertising marca una colaboración ampliada con Influential.
  • En 2020, los socios de SAP están altamente especializados en ofrecer al mercado soluciones específicas de la industria. Vistex es uno de esos socios: el tipo de socio que desempeñará un papel clave en las nuevas soluciones industriales en la nube de SAP y sus socios.

El mercado de inteligencia aumentada se ha segmentado de la siguiente manera :

Mercado de Inteligencia Aumentada - ndash; por Tecnología

  • Aprendizaje automático
  • Procesamiento del lenguaje natural
  • Computación consciente del contexto
  • Visión artificial
  • Otros

Mercado de Inteligencia Aumentada – ndash; por tamaño de empresa

  • Pymes
  • Grandes empresas

Mercado de inteligencia aumentada – ndash; por usuario final bsp ;              

  • TI y Telecomunicaciones
  • Venta minorista y comercio electrónico
  • BFSI
  • Atención sanitaria
  • Otros< /li>

Mercado de Inteligencia Aumentada – por Geografía

  • América del Norte
    • Estados Unidos
    • Canadá
    • México
  • < li>Europa
    • Francia
    • Alemania
    • Italia
    • Rusia
    • Reino Unido
    • Resto de Europa
  • Asia Pacífico (APAC)
    • Japón
    • China
    • Australia
    • < li>India
    • Corea del Sur
    • Resto de APAC
  • Medio Oriente y África (MEA)
    • Arabia Saudita
    • EAU
    • Sudáfrica
    • Resto de MEA
  • América del Sur (SAM)< ul>
  • Brasil
  • Argentina
  • Resto de SAM

Mercado de Inteligencia Aumentada – ndash; Perfiles de empresa

  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • TIBCO Software Inc.
  • Sisense Inc.
  • Salesforce.com, Inc.
  • QlikTech International AB
  • MondoBrain Inc.
  • Cosmo Tech
  • < li>Escala cognitiva
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


Which Technology led the augmented intelligence market?

The Machine Learning technology led the augmented intelligence market. Machine learning (ML) is a subset of augmented intelligence, which focuses on a computer program that is capable of parsing data utilizing specific algorithms. Such a program is capable of adapting itself without human intervention, providing the desired output on the basis of analyzed data. In essence, utilizing ML techniques, a machine is trained for analyzing huge amounts of data and then learn to run specific tasks. The purpose of any analytical effort is to wisely use the information and ask the right questions so as to enhance business outcomes. Now more than ever, the decision-makers need intelligent methods of collecting information and making decisions, supporting them to extract valuable intelligence from continuously evolving information. This is where ML-based intelligence systems can support through enabling users to detect information, patterns, and trends that warrant attention.

Which factor is driving the augmented intelligence market?

Increase in implementation of augment analytics in business intelligence tools is one of the major factors driving the growth of the augmented intelligence market. Augmented analytics is implemented to enhance data sharing, data analytics, and business intelligence that marks the next trend of disruption in the data and analytics market. Data and analytics specialists are implementing augmented analytics with platform proficiencies into their present business models. Augmented analytics incorporates artificial intelligence elements into analytics and business intelligence process to help users develop their data, identify new insights, and effortlessly share them with everyone in the organization. Augmented analytics integrates natural language processing and artificial intelligence elements that transform the user experience across the whole business intelligence process. Moreover, data ingestion, understanding correlations in data, insight finding, and interacting with the platform have become more powerful and streamlined than their modern counterparts in a self-service paradigm. Several modern business intelligence solutions have mobile apps and some even have Amazon Alexa or chatbot integrations, which enable users to interact with the data through more than just mouse clicks.

Which region led augmented intelligence market?

The North America comprises of the US, Canada, and Mexico. Countries including the US and Canada are early adopters of modern technologies such as digital, IoT, AI, machine learning, augmented intelligence, and cloud computing. The technological advancements across North America have led to a highly competitive market. North America attracts several technological developments from economically robust countries. The companies in the region are continuously enhancing the overall business processes to meet customers' demand for high-quality products and services in the best possible way.

The List of Companies - Augmented Intelligence Market

  1. IBM Corporation
  2. Microsoft Corporation
  3. SAP SE
  4. TIBCO Software Inc.
  5. Sisense Inc.
  6. Salesforce.com, Inc.
  7. QlikTech International AB
  8. MondoBrain Inc.
  9. Cosmo Tech
  10. CognitiveScale

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. 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.

  1. 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:

Research Methodology

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.

  1. 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:

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  • 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.

  1. 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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