AI in Manufacturing to surpass USD 42.5 billion by 2031 from USD 1.7 billion in 2021 at a CAGR of 37.6% in the coming years, i.e., 2021-31. Artificial Intelligence technology is widely being adopted in manufacturing industries to analyze complex sets of data, changes in consumer behavior, and demand for detecting anomalies and improving supply chains and distribution networks. Further, AI can improve decision making by using advanced software to gain more insights and visibility in the operation process, which is driving the market growth of AI in Manufacturing. Based on Offering, the AI in Manufacturing Market is divided into Hardware, Software, and Services, of which the Software segment is expected to lead. Specific programs can be run by software alone without the need for additional hardware.

Understanding the segments helps in identifying the importance of different factors that aid the market growth. At last, all parts of the Worldwide Artificial Intelligence (AI) in Manufacturing Market are quantitatively also subjectively valued to think about the Global just as regional market equally. This market study presents basic data and true figures about the market giving a deep analysis of this market based on market trends, market drivers, constraints and its future prospects. The report supplies the worldwide monetary challenge with the help of Porter's Five Forces Analysis and SWOT Analysis. Customization of the Report: The report can be customized as per your needs for added data up to 3 businesses or countries or 2 analyst hours.

PLEASANTON CA, Sept. 30, 2021 (GLOBE NEWSWIRE) -- The latest study titled "Global Artificial Intelligence in Manufacturing Market Ecosystem By Components; By Deployment; By Technology; By Application; By Device; By Region; By End Users (Logistics, Healthcare, Automotive, Retail, BFSI, Defence, Aerospace, Oil & Gas, Others) Forecast by 2027" published by AllTheResearch, features an analysis of the current and future scenario of the global Artificial Intelligence (AI) in Manufacturing Market. The Global Artificial Intelligence (AI) in Manufacturing Market was valued at USD 2.1 Bn in 2020 and is expected to reach USD 11.5 Bn by 2027, with a growing CAGR of 27.2% during the forecast period. The Artificial Intelligence in manufacturing market is forecasted to grow at a high rate owing to the accelerating innovations in industrial IoT and automation. The manufacturing industry is expected to be among the market leader in the artificial intelligence market. Further, the manufacturing industry is also expected to display the fastest growth during the forecast period due to rapid digital transformation to promote smart solutions in factories, logistics and management.

Attributed to the rapid growth in the adoption of automated systems in industrial processes, the global smart manufacturing market is predicted to grow from US$$175bn (2020) to US$303bn by 2026 with a compound annual growth rate (CAGR) of 6.4% between 2019 and 2026. While COVID-19 has somewhat slowed down the market's growth, it is expected that by the second to third quarter of 2023 there will be a'considerable' rise in growth for the market. Making people's lives easier, and their work more accurate and effective, the global demand for automated technologies such as robotics - especially in science and technology - is driving its increase in global market value. By 2027, the global industrial automation market is expected to reach US$326.14bn Expected to grow from US$80.1bn (2021) to US$134.9bn by 2026, the smart factory market - with a CAGR of 11% between 2021 and 2026 - is experiencing growth driven by fiscal policies adopted to keep manufacturing facilities afloat during COVID-19.

The report titled "Global Artificial Intelligence (AI) in Manufacturing Market Analysis of Key Players, End User, Demand and Consumption By 2026" …

The global artificial intelligence in manufacturing market has gathered pace in its growth with rapidly evolving industrial automation and IoT. Artificial intelligence or AI is one of the fastest-growing technologies in the recent years. Artificial intelligence is associated with human intelligence with similar characteristics such as reasoning, understanding, problem solving, language, and learning. Incorporation of AI in manufacturing industry provides safer operational environment, which further helps in enhancing the quality and quantity of the production. An upcoming report on the global artificial intelligence in manufacturing market by Transparency Market Research could be a valuable source of information for major stakeholders in the market.

The market is further segmented on the basis of types and end-user applications. The report also provides an estimation of the segment expected to lead the market in the forecast years. Detailed segmentation of the market based on types and applications along with historical data and forecast estimation is offered in the report. Furthermore, the report provides an extensive analysis of the regional segmentation of the market. The regional analysis covers product development, sales, consumption trends, regional market share, and size in each region.

NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), Siemens AG (Germany), General Electric Company (US), General Vision Inc. (US), Progress Software Corporation (US), Micron Technology Inc., (US), Mitsubishi Electric Corporation (Japan), Sight Machine (US), Cisco Systems Inc., (US), and SAP SE (Germany) are the prominent players of AI in manufacturing market. Browse 219 market data Tables and 58 Figures spread through 301 Pages and in-depth TOC on "Artificial Intelligence in Manufacturing Market - Global Forecast to 2026" The hardware segment is projected to grow at the highest CAGR from 2020 to 2026. Most of the AI hardware manufacturers have been in the business of providing the same hardware components for other technologies such as connected cars, machine vision cameras, and IoT for a long time. This will enable the companies to transfer the technology easily and accordingly develop the AI hardware. Moreover, the increasing participation of startups in AI hardware is complementing the growth of the hardware segment.

Artificial Intelligence (AI) and smart devices are gaining more and more traction in the manufacturing market. AI can be used to automate multiple things, and the technologies behind it keep getting better, and smarter. And combining AI with the IoT means fewer people will be required to take decisions and to execute those decisions. If things keep evolving as they have been so far, one thing is certain: the manufacturing industry will never be the same. But, how can AI and IoT affect the manufacturing job market? How can they improve it?

Artificial intelligence (AI) software has always received most of the attention, however, as the computational resources required to process this software skyrocket, a new generation of hardware is being created endowed with artificial intelligence. Some experts have named this evolution "Cambrian explosion", referring to the current period of fervent innovation. Today, AI's range of innovative hardware accelerator architectures continues to expand. Although you tend to think that graphics processing units (GPUs) are the most advanced dominant AI hardware architecture, that's far from true. Over the past few years, both start-ups and established vendors have introduced an impressive generation of new hardware architectures optimized for machine learning, deep learning, natural language processing and other much more advanced Artificial Intelligence workloads.