The global AI in Manufacturing Market By 2024 is expected to witness significant growth, with its market size projected to increase from USD 8.14 billion in 2019 to 2032 by USD 695.16 billion. This reflects a compound annual growth rate (CAGR) of 37.7% over the forecast period. This report highlights industry growth trends, key drivers such as cost-effective solutions and sustainable practices, and emerging opportunities across residential, commercial, and industrial sectors.

The AI in Manufacturing Market comprises key manufacturers such as Microsoft Corporation (United States), Google LLC (United States), IBM Corporation (United States), Amazon.com Inc. (United States), NVIDIA Corporation (United States), Siemens AG (Germany), GENERAL ELECTRIC (United States), SAP SE (Germany), Rockwell Automation, Inc. (United States), Mitsubishi Electric Corporation (Japan) Expansions, collaborations, and deals were some of the major strategies adopted by these key players to enhance their positions in the AI in Manufacturing Market.

Market Scope:

Featuring in-depth analysis and forward-looking projections, this report is an essential resource for stakeholders aiming to leverage emerging opportunities and address challenges in the AI in Manufacturing Market. Key recent industry developments include;

The company is focus on expanding the AI based product portfolio. Google LLC is acquiring companies from different countries such as China, India, the U.K., and the U.S. to name a few. Along with thirty AI startups of USD 4 billion, Google LLC tops the AI acquiring companies list. The company is also focusing on implementing AI in manufacturing industries. It is offering Cloud AI to boost and maximize the speed of process along with protecting the health and safety of workers. Also, it is investing in creating solutions and tools to ease the deployment and usage of AI in the manufacturing industries.

  • Siemens and Microsoft collaborate to elevate industrial AI, revolutionizing product lifecycle management. Integrating Siemens’ Teamcenter software with Microsoft Teams and Azure OpenAI Service’s language models enhances innovation and efficiency. This partnership fosters seamless cross-functional collaboration, driving advancements in design, engineering, manufacturing, and product operations, marking a significant leap in industrial technology integration.
  • Google Cloud launches industry-focused Generative AI solutions for healthcare and manufacturing, aiming to enhance productivity and enable digital transformation. This move signifies a significant step in leveraging AI for industry-specific advancements.

AI in Manufacturing Market Highlights:

The report provides valuable insights into the Compound Annual Growth Rate (CAGR) of the AI in Manufacturing Market, projecting its growth from 2019 to 2032. It offers a comprehensive analysis of the key drivers fueling market expansion, highlighting the factors that will propel growth during the forecast period. Additionally, the report delivers precise estimates of the market size and share, helping stakeholders understand the AI in Manufacturing Market’s position in the broader industry.

Future trends and consumer behavior forecasts are also covered, offering a forward-looking perspective on market shifts. The report includes a regional growth analysis, breaking down the performance of the AI in Manufacturing Market across;

  • North America (U.S. and Canada)
  • Europe (U.K., Germany, France, Spain and Rest of Europe)
  • Asia Pacific (Japan, China, India, Southeast Asia and Rest of Asia Pacific)
  • Middle East & Africa (South Africa, GCC and Rest of Middle East & Africa)
  • Latin America (Brazil, Mexico and Rest of Latin America)

Segmentation of this market:

Artificial Intelligence in Manufacturing Market Size, Share & Industry Analysis, By Offering (Hardware, Software, and Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing), By Application (Process Control, Production Planning, Predictive Maintenance & Machinery Inspection), By Industry (Automotive, Medical Devices, Semiconductor &Electronics), and Regional Forecast, 2020-2032

Explore a comprehensive Table of Contents, featuring detailed charts, tables, and figures, spread across 120+ pages. This report offers exclusive data, key statistics, industry trends, and insights into the competitive landscape within this niche sector.

Table of Contents:

  • Introduction
  • Research Scope
  • Market Segmentation
  • Research Methodology
  • Definitions and Assumptions
  • Executive Summary
  • Market Dynamics
    • Drivers
    • Restraints
    • Opportunities
  • Key Insights
  • Industry Developments – Mergers, Acquisitions, and Partnerships
  • Porter’s Five Forces Analysis
  • SWOT Analysis
  • Technological Advancements
  • Value Chain Analysis

TOC Continued…!

Drivers & Restrains:

  • Drivers:
    • Growing need for automation and efficiency in manufacturing processes to reduce costs and enhance productivity.
    • Advancements in AI technologies, such as machine learning and predictive analytics, enabling smarter decision-making and process optimization.
  • Restraints:
    • High implementation costs and complexity of integrating AI solutions into existing manufacturing systems may limit adoption.
    • Concerns about data security, privacy, and the potential for job displacement can hinder the acceptance of AI technologies in the workforce.

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