Research Expert: Sarah Overall
  • Published: Sep 2025
  • Pages: 150
  • SKU: IRTNTR80969

  • Latest News- AI In Economic Analytics Market: Solutions is expected to lead the Component segment during 2025-2029

    The AI In Economic Analytics Market is being driven by Intensifying demand for predictive and prescriptive economic intelligence

    The AI In Economic Analytics Market is expected to grow at a CAGR of 36.2% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 39382.6 million. The global AI in economic analytics market is experiencing a significant shift, with the increasing maturity and integration of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) leading the way. This transition signifies a paradigm change from conventional econometric and statistical models to more nuanced, context-sensitive systems. The primary consequences of this evolution are twofold: the automation of intricate analytical narratives and the enhancement of predictive forecasting via advanced scenario simulations. Key players in the financial sector, government agencies, and corporations in North America and Europe are spearheading the adoption curve, utilizing these advanced technologies to secure a competitive edge and inform informed decision-making. 

    Get more information on AI In Economic Analytics Market by requesting a sample report

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Component
      • Solutions
      • Services
    • Application
      • Macroeconomic forecasting
      • Financial analytics
      • Trade and investment analytics
      • Labor market analytics
      • Others
    • End-user
      • Government and public institutions
      • Financial institutions
      • Corporates and enterprises
      • Research and academia
      • International organizations
    • Geography
      • North America
        • Canada
        • US
      • APAC
        • China
        • India
        • Japan
      • Europe
        • Germany
        • UK
        • France
      • South America
        • Brazil
      • Middle East and Africa

      According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

      • Intensifying demand for predictive and prescriptive economic intelligence
      • Symbiotic growth of big data ecosystems and advanced computational infrastructure
      • Commercialization and integration of generative AI and LLM

      However, the market also witnesses some limitations, which are as follows:

      • Systemic deficiencies in data availability, quality, and governance
      • Black box dilemma and imperative for model interpretability
      • Prohibitive implementation costs and structural talent deficit

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      Market Scope in AI In Economic Analytics Market Research Report

      Market Scope

      Report Coverage

      Details

      Page number

      248

      Base year

      2024

      Historic period

      2019-2023

      Forecast period

      2025-2029

      Growth momentum & CAGR

      Accelerate at a CAGR of 36.2%

      Market growth 2025-2029

      USD 39382.6 million

      Market structure

      fragmentation

      YoY growth 2024-2025(%)

      34.1

      Key countries

      US, China, Germany, Canada, India, UK, Japan, France, Australia, and Brazil

      Competitive landscape

      Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

      Find out which segment is leading the market by accessing the free PDF report

      Research Analysis Overview

      In the realm of AI for Economic Analytics, neural network architectures are utilized, alongside data preprocessing methods and feature engineering techniques, to prepare data for analysis. Model evaluation metrics, validation strategies, and parameter optimization methods are employed to assess model performance. Hyperparameter tuning, cross-validation techniques, backtesting methodologies, and Monte Carlo simulations are used for model refinement. Bayesian inference, Markov chain models, agent-based modeling, and system dynamics modeling are advanced techniques for economic forecasting. Econometric software packages, statistical programming languages, data wrangling techniques, data cleaning procedures, and data transformation methods facilitate data manipulation. Data visualization libraries, database management systems, and cloud storage solutions ensure efficient data management. Data security protocols and privacy preserving techniques protect sensitive information. Model interpretability methods and explainable AI techniques enhance model understanding. Model deployment strategies and monitoring systems ensure continuous improvement.

      Market Research Overview

      In the IT software industry, the economic analytics market is a significant segment, encompassing machine learning models, economic forecasting models, predictive analytics tools, and time series forecasting. This market falls under the application software category, focusing on specialized business applications. Technavio's market analysis covers revenue generated by companies providing these advanced analytics solutions, contributing to the overall IT software market size. These firms specialize in enterprise and technical software, as well as cloud-based solutions, excluding those in the interactive home entertainment or systems software sectors.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.


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      Technavio Research
      Jesse Maida
      Media & Marketing Executive
      US: +1 844 364 1100
      UK: +44 203 893 3200
      Email: media@technavio.com
      Website: www.technavio.com/

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