Report ID: SQMIG45D2099
Report ID:
SQMIG45D2099 |
Region:
Global |
Published Date: June, 2024
Pages:
197
|
Tables:
94 |
Figures:
70
Global Artificial Intelligence (AI) in Manufacturing Market size was valued at USD 2.58 Billion in 2022 and is poised to grow from USD 3.20 Billion in 2023 to USD 64.63 Billion by 2031, growing at a CAGR of 45.6% in the forecast period (2024-2031).
The rapid development of artificial intelligence (AI) in manufacturing is being fueled using cutting-edge technological innovations including analytics, augmented reality, virtual reality, smart packaging and additive manufacturing. The flexibility of the manufacturing organizations and their increasing demand for sustainable solutions remain important factors driving the rise of AI adoption in manufacturing.
Besides the advancement in automation in manufacturing and increasing demand for big data integration enabling the expansion of market. The increasing use of machine vision cameras in various business applications such as machine tracking, logistics, field service and quality control. For example, in April 2023 Databricks launched Databricks Lakehouse for manufacturers, with pre-developed AI solutions and applications adopted by DuPont.
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REQUEST FREE CUSTOMIZATIONArtificial Intelligence (AI) in Manufacturing Market size was valued at USD 2.58 Billion in 2022 and is expected to grow from USD 3.20 Billion in 2023 to reach USD 64.63 Billion by 2031, at a CAGR of 45.6% during the forecast period (2024-2031).
The Artificial Intelligence (AI) in Manufacturing market exhibits fragmentation, with a notable market leader securing a significant market share. Key players in this landscape continually employ diverse growth strategies to maintain their competitive edge. These strategies encompass product launches, innovations, mergers, acquisitions, collaborations, and partnerships. Moreover, a relentless focus on research and development persists among these market leaders, aimed at delivering industries with the most efficient and cost-effective solutions. 'Amazon Web Services (Seattle) ', 'Cisco Systems Inc (San Jose) ', 'General Electric Company (Boston) ', 'Google LLC (Alphabet Inc.) (Mountain View) ', 'IBM Corporation (Armonk) ', 'Intel Corporation (Santa Clara) ', 'Microsoft Corporation (Redmond) ', 'Mitsubishi Electric Corporation (Tokyo) ', 'NVIDIA Corporation (Santa Clara) ', 'Oracle Corporation (Austin) ', 'Rethink Robotics (Boston) ', 'Rockwell Automation Inc (Milwaukee) ', 'SAP SE (Walldorf) ', 'Siemens AG (Munich)'
Automation enables tasks to be performed with greater precision, speed, and consistency, leading to higher productivity and reduced labor costs. AI-powered robotics and autonomous systems are revolutionizing traditional manufacturing methods by streamlining repetitive tasks, optimizing resource utilization, and enabling real-time decision-making.
Focused on Specialized AI Hardware: The increasing focus on specialized AI hardware is a significant supply-side trend shaping the AI market. Specialized hardware is commonly utilized to enhance the speed and energy efficiency of executing artificial intelligence (AI) programs. This encompasses technologies such as Lisp machines, neuromorphic engineering, event cameras, and physical neural networks. The semiconductor companies are adapting their approaches to meet market demands and enhance compatibility with other layers of the technology stack.
In the global Artificial Intelligence (AI) in manufacturing market, North America is in the lead concerning market share and revenue in the global market. The primary of its kind is due to the technological development of the region, the high rate of investment, and in the development of research studies regarding AI technological systems. The availability of advanced industrial players and tech gurus in the United States coupled with strong fundamentals of government support towards automation features of industries contribute to the subsequent growth of the market. The major areas for AI implementation among North American manufacturers remain the enhancement of production, prognostics, and maintenance, and supply chain management, which will allow companies to cement their market dominance.
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Report ID: SQMIG45D2099