{"id":56735,"date":"2024-01-18T12:25:00","date_gmt":"2024-01-18T11:25:00","guid":{"rendered":"https:\/\/techma.bakertilly.es\/?post_type=informes&#038;p=56735"},"modified":"2026-02-06T10:54:03","modified_gmt":"2026-02-06T09:54:03","slug":"ia-ml-data-analytics-2024-report","status":"publish","type":"informes","link":"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/","title":{"rendered":"AI, ML and Data Analytics Sector Report 2024"},"content":{"rendered":"<p>The 2024 Industry Report on AI, ML, and Data Analytics, presented by Baker Tilly, offers an in-depth analysis of the evolving landscapes of Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics. <a href=\"https:\/\/techma.bakertilly.es\/en\/reports\/data-analytics-report-2023-ss-a3\/\" target=\"_blank\" data-type=\"URL\" data-id=\"https:\/\/techma.bakertilly.es\/informes\/analisis-de-datos-informe-2023-ss-a3\/\" rel=\"noreferrer noopener\">(here you can see our 2023 Data Analytics report)<\/a><\/p>\n\n\n\n<p>The report introduces the core concepts of Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics. AI, encompassing a range of technologies that enable machines to simulate human intelligence, is revolutionizing industries by automating complex tasks. ML, a subset of AI, involves the development of algorithms that enable computers to learn from and make predictions based on data. Data Analytics refers to the process of examining large data sets to uncover hidden patterns and correlations. Together, these technologies are pivotal in transforming business operations, enhancing decision-making, and enabling more personalized customer experiences.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title ez-toc-toggle\" style=\"cursor:pointer\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Contents\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ffffff;color:#ffffff\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ffffff;color:#ffffff\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Crecimiento_y_tendencias\" >Growth and Trends<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Oportunidades_profesionales\" >Career Opportunities<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Beneficios_de_Data_Analytics\" >Benefits of Data Analytics<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Tipos_de_Data_Analytics\" >Types of Data Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Nichos_del_sector_y_PNL\" >Sector Niches and NLP<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Analisis_del_mercado\" >Market Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Madurez_del_sector_y_perspectivas_de_futuro\" >Sector Maturity and Future Outlook<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/techma.bakertilly.es\/en\/informes\/ia-ml-data-analytics-2024-report\/#Market_Research_sectorial_sobre_IA_ML_y_Data_Analytics_2024\" >Market Research sectorial sobre IA, ML y Data Analytics 2024<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Crecimiento_y_tendencias\"><\/span>Growth and Trends<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The report analyses the significant growth trajectory of AI, ML and Data Analytics, driven by technological advances and the increasing reliance on data-driven strategies in various industries. Key trends identified include the integration of AI with Big Data, advances in ML algorithms and the proliferation of these technologies in healthcare, finance and retail. Growth is bolstered by the adoption of cloud computing, increased data availability and the development of more sophisticated dara processing tools. <\/p>\n\n\n\n<p>A key component of the report is the SWOT analysis, which provides a comprehensive view of the strengths, weaknesses, opportunities and threats of these sectors. This analysis is essential for companies and investors to understand market dynamics and to strategise accordingly.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Oportunidades_profesionales\"><\/span>Career Opportunities<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p> With the expansion of AI, ML, and Data Analytics, there is a burgeoning demand for skilled professionals in these fields. Data scientists, machine learning engineers, and data engineers are among the most sought-after roles. These professionals are required to have a deep understanding of statistical and analytical methods, programming skills, and the ability to interpret complex data sets. The report highlights the diverse opportunities available in various sectors, emphasizing that proficiency in these technologies is becoming increasingly crucial across a wide range of industries.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Beneficios_de_Data_Analytics\"><\/span>Benefits of Data Analytics<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Utilizing data analytics offers numerous benefits for businesses. It enables improved predictive analysis, allowing companies to anticipate market trends and customer behavior. Data analytics also aids in understanding both structured and unstructured data, providing a more comprehensive view for future planning. The application of AI and ML tools in data analytics has revolutionized the way businesses approach problem-solving and decision-making, leading to enhanced operational efficiency, reduced costs, and the ability to make more informed strategic decisions.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2024\/01\/MR-AI-Data-Analytics-Machine-Learning_v1-1024x576.jpg\" alt=\"\" class=\"wp-image-56736\" title=\"\" srcset=\"https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2024\/01\/MR-AI-Data-Analytics-Machine-Learning_v1-1024x576.jpg 1024w, https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2024\/01\/MR-AI-Data-Analytics-Machine-Learning_v1-300x169.jpg 300w, https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2024\/01\/MR-AI-Data-Analytics-Machine-Learning_v1-768x432.jpg 768w, https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2024\/01\/MR-AI-Data-Analytics-Machine-Learning_v1-18x10.jpg 18w, https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2024\/01\/MR-AI-Data-Analytics-Machine-Learning_v1.jpg 1107w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Tipos_de_Data_Analytics\"><\/span>Types of Data Analytics<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>The report delineates four primary types of data analytics, each serving a unique function. Descriptive analytics focuses on summarizing past data to understand historical trends and patterns. Diagnostic analytics delves deeper to identify the causes behind these trends. Predictive analytics, leveraging statistical models and machine learning algorithms, aims to forecast future scenarios based on historical data. Lastly, prescriptive analytics goes a step further by suggesting actions or strategies to capitalize on predicted trends or mitigate potential risks. This segmentation provides a comprehensive framework for businesses to approach data analytics strategically.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Nichos_del_sector_y_PNL\"><\/span>Sector Niches and NLP<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>This part of the report spotlights the most active niches within the data analytics sector, with a particular emphasis on <a href=\"https:\/\/aws.amazon.com\/what-is\/nlp\/?nc1=h_ls\" target=\"_blank\" data-type=\"URL\" data-id=\"https:\/\/aws.amazon.com\/es\/what-is\/nlp\/\" rel=\"noreferrer noopener\">Natural Language Processing<\/a> (NLP). NLP stands out as a pivotal technology in interpreting and analyzing human language, playing a crucial role in extracting insights from unstructured data. The section explores how NLP is instrumental in identifying market trends and customer sentiments, thus aiding businesses in making more informed decisions. The analysis extends to how NLP is being integrated into various analytics applications, demonstrating its growing importance in the field.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Analisis_del_mercado\"><\/span>Market Analysis<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The financial overview in this section presents a positive trend in de sector's investments, with the important role of North American markets in particular, with the United States and Canada leading the way in financing. The report delves into financing patterns in various categories, highlighting the strength of the sector despite global economic fluctuations. It also examines recent trends in acquisitions and mergers, showing the dynamism and resilience of the sector. This comprehensive market analysis provides a clear picture of the financial health and investor attractiveness of the AI, ML and Data Analytics sector.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Madurez_del_sector_y_perspectivas_de_futuro\"><\/span>Sector Maturity and Future Outlook<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The final section of the report assesses the maturity levels of various sub-sectors and company types within the AI, ML, and Data Analytics domains. It categorizes companies into stages of innovation, growth, and consolidation, offering insights into the evolutionary phases of these industries. The discussion includes the latest acquisitions, investments, and initial public offerings (IPOs), highlighting the sector's continued growth and potential. The future outlook is optimistic, with predictions of sustained expansion and innovation, positioning AI, ML, and Data Analytics as key drivers of technological advancement and business transformation in the coming years.<\/p>\n\n\n\n<p>In conclusion, the 2024 Industry Report on AI, ML, and Data Analytics by Baker Tilly is a valuable resource which offers a thorough understanding of the current state and future potential of these rapidly evolving sectors. For a comprehensive analysis and to stay ahead in the digital transformation journey, we encourage you to download the full report from our website. <\/p>\n\n\n\n<p>If you\u2019re interested in some other reports, just give a check on this section. <a href=\"https:\/\/techma.bakertilly.es\/en\/reports\/\" data-type=\"URL\" data-id=\"https:\/\/techma.bakertilly.es\/informes\/\">on this section.<\/a><\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr id=\"formulariodescarga\" style=\"max-width:100%;\"><\/hr>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Tailor-made<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Market_Research_sectorial_sobre_IA_ML_y_Data_Analytics_2024\"><\/span>Market Research sectorial sobre IA, ML y Data Analytics 2024<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Download the full report here and stay informed about the financial status and latest news of the most important companies in the market.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2026\/02\/MR-AI-Data-Analytics-Machine-Learning_v1_compressed.pdf\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>DOWNLOAD<\/strong><\/a><\/div>\n<\/div>","protected":false},"author":8,"featured_media":57648,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"off","_et_pb_old_content":"<!-- wp:paragraph -->\n<p>El Informe de la Industria 2024 sobre IA, ML y Anal\u00edtica de Datos, presentado por Baker Tilly, ofrece un an\u00e1lisis en profundidad de los panoramas en evoluci\u00f3n de la Inteligencia Artificial (IA), el Aprendizaje Autom\u00e1tico (ML) y la Anal\u00edtica de Datos. <a href=\"https:\/\/techma.bakertilly.es\/informes\/analisis-de-datos-informe-2023-ss-a3\/\" target=\"_blank\" data-type=\"URL\" data-id=\"https:\/\/techma.bakertilly.es\/informes\/analisis-de-datos-informe-2023-ss-a3\/\" rel=\"noreferrer noopener\">(aqu\u00ed puedes ver nuestro informe 2023 Data Analytics)<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>El informe presenta los conceptos b\u00e1sicos de Inteligencia Artificial (IA), Aprendizaje Autom\u00e1tico (AM) y An\u00e1lisis de Datos. La IA, que engloba una serie de tecnolog\u00edas que permiten a las m\u00e1quinas simular la inteligencia humana, est\u00e1 revolucionando las industrias mediante la automatizaci\u00f3n de tareas complejas. El ML, un subconjunto de la IA, implica el desarrollo de algoritmos que permiten a los ordenadores aprender de los datos y hacer predicciones basadas en ellos. El an\u00e1lisis de datos se refiere al proceso de examinar grandes conjuntos de datos para descubrir patrones y correlaciones ocultos. Juntas, estas tecnolog\u00edas son fundamentales para transformar las operaciones empresariales, mejorar la toma de decisiones y permitir experiencias de cliente m\u00e1s personalizadas.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading -->\n<h2>Crecimiento y tendencias<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>El informe analiza la importante trayectoria de crecimiento de la IA, el ML y Data Analytics, impulsada por los avances tecnol\u00f3gicos y la creciente dependencia de las estrategias basadas en datos en diversos sectores. Las tendencias clave identificadas incluyen la integraci\u00f3n de la IA con Big Data, los avances en los algoritmos de ML y la proliferaci\u00f3n de estas tecnolog\u00edas en la sanidad, las finanzas y el comercio minorista. El crecimiento se ve reforzado por la adopci\u00f3n de la computaci\u00f3n en nube, la mayor disponibilidad de datos y el desarrollo de herramientas de procesamiento de datos m\u00e1s sofisticadas. <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Un componente fundamental del informe es el an\u00e1lisis DAFO, que ofrece una visi\u00f3n completa de los puntos fuertes, los puntos d\u00e9biles, las oportunidades y las amenazas de estos sectores. Este an\u00e1lisis es fundamental para que las empresas y los inversores comprendan la din\u00e1mica del mercado y elaboren estrategias en consecuencia.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading -->\n<h2>Oportunidades profesionales<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p> Con la expansi\u00f3n de la IA, el ML y Data Analytics, hay una demanda creciente de profesionales cualificados en estos campos. Los cient\u00edficos de datos, los ingenieros de aprendizaje autom\u00e1tico y los ingenieros de datos se encuentran entre los puestos m\u00e1s solicitados. A estos profesionales se les exige un profundo conocimiento de los m\u00e9todos estad\u00edsticos y anal\u00edticos, conocimientos de programaci\u00f3n y capacidad para interpretar conjuntos de datos complejos. El informe destaca las diversas oportunidades disponibles en varios sectores, haciendo hincapi\u00e9 en que el dominio de estas tecnolog\u00edas es cada vez m\u00e1s crucial en una amplia gama de industrias.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading -->\n<h2>Beneficios de Data Analytics<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>La utilizaci\u00f3n de la anal\u00edtica de datos ofrece numerosas ventajas a las empresas. Permite mejorar el an\u00e1lisis predictivo, lo que permite a las empresas anticiparse a las tendencias del mercado y al comportamiento de los clientes. La anal\u00edtica de datos tambi\u00e9n ayuda a comprender los datos estructurados y no estructurados, proporcionando una visi\u00f3n m\u00e1s completa para la planificaci\u00f3n futura. La aplicaci\u00f3n de herramientas de IA y ML en el an\u00e1lisis de datos ha revolucionado la forma en que las empresas abordan la resoluci\u00f3n de problemas y la toma de decisiones, lo que se traduce en una mayor eficiencia operativa, una reducci\u00f3n de costes y la capacidad de tomar decisiones estrat\u00e9gicas m\u00e1s informadas.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:image {\"id\":56736,\"sizeSlug\":\"large\",\"linkDestination\":\"none\"} -->\n<figure class=\"wp-block-image size-large\"><img src=\"https:\/\/techma.bakertilly.es\/wp-content\/uploads\/2024\/01\/MR-AI-Data-Analytics-Machine-Learning_v1-1024x576.jpg\" alt=\"\" class=\"wp-image-56736\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3>Tipos de Data Analytics<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>El informe define cuatro tipos principales de an\u00e1lisis de datos, cada uno con una funci\u00f3n espec\u00edfica. El an\u00e1lisis descriptivo se centra en resumir datos pasados para comprender tendencias y patrones hist\u00f3ricos. El an\u00e1lisis de diagn\u00f3stico profundiza en la identificaci\u00f3n de las causas de estas tendencias. El an\u00e1lisis predictivo, que utiliza modelos estad\u00edsticos y algoritmos de aprendizaje autom\u00e1tico, tiene como objetivo predecir escenarios futuros bas\u00e1ndose en datos hist\u00f3ricos. Por \u00faltimo, el an\u00e1lisis prescriptivo va un paso m\u00e1s all\u00e1 al sugerir acciones o estrategias para capitalizar las tendencias previstas o mitigar los riesgos potenciales. Esta segmentaci\u00f3n proporciona un marco completo para que las empresas enfoquen estrat\u00e9gicamente el an\u00e1lisis de datos.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3>Nichos del sector y PNL<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>Esta parte del informe destaca los nichos m\u00e1s activos dentro del sector del an\u00e1lisis de datos, con especial \u00e9nfasis en el <a href=\"https:\/\/aws.amazon.com\/es\/what-is\/nlp\/\" target=\"_blank\" data-type=\"URL\" data-id=\"https:\/\/aws.amazon.com\/es\/what-is\/nlp\/\" rel=\"noreferrer noopener\">Procesamiento del Lenguaje Natural<\/a> (PLN). El PLN es una tecnolog\u00eda fundamental para interpretar y analizar el lenguaje humano y desempe\u00f1a un papel crucial en la extracci\u00f3n de informaci\u00f3n a partir de datos no estructurados. La secci\u00f3n explora c\u00f3mo el PLN es decisivo para identificar las tendencias del mercado y los sentimientos de los clientes, ayudando as\u00ed a las empresas a tomar decisiones m\u00e1s informadas. El an\u00e1lisis se extiende a la forma en que la PNL se est\u00e1 integrando en diversas aplicaciones anal\u00edticas, lo que demuestra su creciente importancia en este campo.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading -->\n<h2>An\u00e1lisis del mercado<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>El panorama financiero de esta secci\u00f3n presenta una tendencia positiva en las inversiones del sector, destacando especialmente el importante papel de los mercados norteamericanos, con Estados Unidos y Canad\u00e1 a la cabeza de la financiaci\u00f3n. El informe profundiza en los patrones de financiaci\u00f3n en diversas categor\u00edas, destacando la solidez del sector a pesar de las fluctuaciones econ\u00f3micas mundiales. Tambi\u00e9n examina las tendencias recientes en materia de adquisiciones y fusiones, mostrando el dinamismo y la resistencia del sector. Este exhaustivo an\u00e1lisis de mercado ofrece una imagen clara de la salud financiera y el atractivo inversor de los sectores de IA, ML y Data Analytics.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading -->\n<h2>Madurez del sector y perspectivas de futuro<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>La secci\u00f3n final del informe eval\u00faa los niveles de madurez de varios subsectores y tipos de empresas dentro de los dominios de IA, ML y Data Analytics. Clasifica a las empresas en etapas de innovaci\u00f3n, crecimiento y consolidaci\u00f3n, ofreciendo una visi\u00f3n de las fases evolutivas de estas industrias. El an\u00e1lisis incluye las \u00faltimas adquisiciones, inversiones y ofertas p\u00fablicas iniciales (OPI), destacando el continuo crecimiento y potencial del sector. Las perspectivas de futuro son optimistas, con predicciones de expansi\u00f3n e innovaci\u00f3n sostenidas, que sit\u00faan a la IA, el ML y el an\u00e1lisis de datos como motores clave del avance tecnol\u00f3gico y la transformaci\u00f3n empresarial en los pr\u00f3ximos a\u00f1os.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>En resumen, el Informe Industrial 2024 sobre IA, ML y Data Analytics de Baker Tilly es un recurso valioso que ofrece una comprensi\u00f3n profunda del estado actual y el potencial futuro de estos sectores en r\u00e1pida evoluci\u00f3n. Para obtener un an\u00e1lisis exhaustivo y mantenerse a la vanguardia en el viaje de la transformaci\u00f3n digital, le animamos a descargar el informe completo desde nuestro sitio web. <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Si est\u00e1s interesado en otros informes, consulte <a href=\"https:\/\/techma.bakertilly.es\/informes\/\" data-type=\"URL\" data-id=\"https:\/\/techma.bakertilly.es\/informes\/\">esta secci\u00f3n.<\/a><\/p>\n<!-- \/wp:paragraph -->","_et_gb_content_width":""},"tags":[2176,2167,2075],"sectores":[2213],"class_list":["post-56735","informes","type-informes","status-publish","has-post-thumbnail","hentry","tag-aprendizaje-automatico","tag-data-analytics","tag-inteligencia-artificial","sectores-data-ml-ia"],"acf":[],"_links":{"self":[{"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/informes\/56735","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/informes"}],"about":[{"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/types\/informes"}],"author":[{"embeddable":true,"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/users\/8"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/media\/57648"}],"wp:attachment":[{"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/media?parent=56735"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/tags?post=56735"},{"taxonomy":"sectores","embeddable":true,"href":"https:\/\/techma.bakertilly.es\/en\/wp-json\/wp\/v2\/sectores?post=56735"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}