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Global AI in Manufacturing Industry Research Report 2024: A $132.54 Billion Market by 2034, Growing at a CAGR of 38.46% with NVIDIA, IBM, and Intel Pioneering the Way Forward - ResearchAndMarkets.com

The "Global AI in Manufacturing Market: Focus on End-Use Industry, Application, Technology, Component, and Region - Analysis and Forecast, 2024-2034" report has been added to ResearchAndMarkets.com's ...

Business Wire

DUBLIN: The "Global AI in Manufacturing Market: Focus on End-Use Industry, Application, Technology, Component, and Region - Analysis and Forecast, 2024-2034" report has been added to ResearchAndMarkets.com's offering.

The market is valued at $5.12 billion in 2024 and is expected to grow at a CAGR of 38.46% to reach $132.54 billion by 2034. The growth trend is chiefly driven by the requirement to manage increasingly intricate datasets and the advancements in machine learning algorithms and data analytics within the manufacturing sector.

AI is reshaping the manufacturing landscape by boosting productivity, efficiency, and data-driven decision-making. Automation of tasks through AI-powered robots not only streamlines operations but also enhances workplace safety. By freeing up human workers to focus on more complex activities, AI enables manufacturers to stay competitive in a rapidly evolving global market, paving the way for a more agile and responsive industry.

Despite these positive drivers, the market faces hurdles such as skilled workforce availability, particularly in developing nations. However, leveraging AI, machine learning, and natural language processing (NLP) for smart enterprise processes presents lucrative opportunities for the expansion of AI in manufacturing sector. With AI and big data analytics, companies can swiftly analyze extensive structured and unstructured data from diverse sources. This enables them to identify anomalies, reduce maintenance expenses, enhance customer service, implement predictive and preventive maintenance measures, and leverage raw data for informed decision-making.

The AI in manufacturing market in the North America region is experiencing significant growth. Many countries in the North America region, including the U.S., Canada, and Mexico, have implemented policies and incentives to promote the adoption of AI. These policies typically include subsidies, tax incentives, and regulatory measures aimed at reducing emissions and promoting sustainable transportation solutions.

The region's AI in manufacturing landscape is dynamic, featuring a mix of startups, research initiatives, and strategic collaborations among industry leaders. Currently, North America is leading the market. However, during the forecast period, the Asia-Pacific region is poised for substantial growth in the AI in manufacturing market. This growth is fueled by the rapid acceptance and integration of AI technologies across various manufacturing industries, leading to enhanced operational efficiency and innovative advancements.

Leading companies such as NVIDIA Corporation, IBM, and Intel Corporation are pioneering the way forward, providing a comprehensive array of AI products encompassing software, hardware, machine learning, computer vision, and natural language processing. The companies utilize AI to revolutionize manufacturing through solutions such as NVIDIA Metropolis, Isaac Sim, IBM's generative AI, and Intel's semiconductor optimization, enhancing efficiency and enabling data-driven decision-making. They also invest heavily in research and development to innovate new products.

Key Questions Answered in this Report:

  • What are the main factors driving the demand for AI in manufacturing markets?
  • What are the major patents filed by the companies active in the AI in manufacturing markets?
  • Who are the key players in the AI in manufacturing markets, and what are their respective market shares?
  • What partnerships or collaborations are prominent among stakeholders in the AI in manufacturing markets?
  • What are the strategies adopted by the key companies to gain a competitive edge in AI in manufacturing markets?
  • What is the futuristic outlook for the AI in manufacturing markets in terms of growth potential?
  • What is the current estimation of the AI in manufacturing markets, and what growth trajectory is projected from 2024 to 2034?
  • Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
  • What could be the impact of growing end-use industries in the AI in manufacturing markets?
  • Which regions demonstrate the highest adoption rates for AI in manufacturing markets, and what factors contribute to their leadership?

Key Attributes:

Report Attribute Details
No. of Pages 100
Forecast Period 2024 - 2034
Estimated Market Value (USD) in 2024 $5.12 Billion
Forecasted Market Value (USD) by 2034 $132.54 Billion
Compound Annual Growth Rate 38.4%
Regions Covered Global

Industry Dynamics

Trends: Current and Future Impact Assessment

  • Supply Chain Overview
  • Value Chain Analysis
  • Pricing Forecast

Regulatory Landscape

Stakeholder Analysis

Use Case

End User and Buying Criteria

Impact Analysis for Key Global Events

Market Dynamics Overview

  • Market Drivers
  • Market Restraints
  • Market Opportunities

Company Profiles

  • Nvidia Corporation
  • IBM
  • Intel Corporation
  • Siemens
  • GENERAL ELECTRIC
  • Google LLC
  • Microsoft
  • Micron Technology, Inc.
  • Sight Machine
  • Oracle
  • Cisco Systems, Inc.
  • SAP
  • Bright Machines, Inc.
  • Mitsubishi Electric Corporation
  • General Vision Inc.
  • Overview
  • Top Products/Product Portfolio
  • Top Competitors
  • Target Customers
  • Key Personnel
  • Analyst View
  • Market Share

For more information about this report visit https://www.researchandmarkets.com/r/71t1y7

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

Fonte: Business Wire

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