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AI in manufacturing refers to the integration and utilization of artificial intelligence (AI) technologies within the manufacturing sector to enhance various processes and operations. This integration involves the use of advanced algorithms, machine learning techniques, robotics, and data analytics to optimize manufacturing processes, improve efficiency, quality and productivity, and enable predictive maintenance and smart decision-making.

The AI in manufacturing market consists of revenues earned by entities (organizations, sole traders and partnerships) by using AI technology in providing related services and solutions, such as predictive maintenance, quality control, supply chain optimization, demand forecasting, autonomous robots, process optimization and adaptive manufacturing.

The global AI in manufacturing market was valued at $865.9 million in 2018 which grew till 2023 at a compound annual growth rate (CAGR) of more than 27.0%.

Widespread Adoption Of Industrial Robots

During the historic period, the widespread adoption of industrial robots propelled the expansion of the AI in manufacturing market. Industrial robots refer to programmable machines that are designed to perform tasks traditionally carried out by human workers in manufacturing and industrial settings, such as assembly, welding, painting and material handling. The surge in the adoption of industrial robots is driven by factors such as technological advancements, increasing demand for automation to enhance productivity and efficiency and cost-effectiveness in the long term. Industrial robots utilize AI in manufacturing through advanced algorithms for tasks such as autonomous operation, adaptive learning and real-time decision-making, optimizing efficiency and productivity. The International Federation of Robotics, a Germany-based non-profit organization, reported a record high of 517,385 new industrial robots installed in factories globally in 2021, representing a 31% year-on-year growth and exceeding the pre-pandemic 2018 installation record by 22%. Therefore, the widespread adoption of industrial robots drove the growth of the Al in manufacturing market.

Advancements In Visual AI Solutions Transforming Manufacturing Operations

AI in manufacturing solution providers are focusing on developing next-generation visual AI solutions to enhance automation, quality control and predictive maintenance processes. Visual AI solutions enhance manufacturing processes by automating quality control, improving inspection accuracy and optimizing production efficiency through image recognition and analysis. For instance, in February 2023, Leela Al, a US-based software development company, launched the Leela Platform, a commonsense visual Al platform, to improve manufacturing output. It enables manufacturers to uncover insights beyond Industrial Internet of Things (IIoT) sensor analytics, facilitating productivity comparisons across shifts, workstations and locations, pinpointing bottlenecks and identifying optimal practices. Industrial engineers, C-level officers and line supervisors stand to benefit from its capabilities, which include real-time monitoring of frontline activities involving equipment, machinery, parts and products, effectively functioning as an ongoing time-and-motion study.

The global AI in manufacturing market is concentrated, with a few large players operating in the market. The top ten competitors in the market made up to 49.7% of the total market in 2022.

AI In Manufacturing Global Market Opportunities And Strategies To 2033 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global AI in manufacturing market as it emerges from the COVID-19 shut down.

Reasons to Purchase

Where is the largest and fastest-growing market for AI in manufacturing? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI in manufacturing market global report from The Business Research Company answers all these questions and many more.

The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider AI in manufacturing market; and compares it with other markets.

The report covers the following chapters

Markets Covered:

Table of Contents

1 Executive Summary

2 Table Of Contents

3 List Of Tables

4 List Of Figures

5 Report Structure

6 Market Characteristics

7 Major Market Trends

8 AI In Manufacturing Market - Macro Economic Scenario

9 Global Market Size and Growth

10 Global AI In Manufacturing Market Segmentation

11 AI In Manufacturing Market, Regional and Country Analysis

12 Asia-Pacific Market

13 Western Europe Market

14 Eastern Europe Market

15 North America Market

16 South America Market

17 Middle East Market

18 Africa Market

19 Competitive Landscape And Company Profiles

20 Competitive Benchmarking

21 Competitive Dashboard

22 Key Mergers And Acquisitions

23 Opportunities And Strategies

24 AI In Manufacturing Market, Conclusions And Recommendations

25 Appendix

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