AI Processing Control Industry - Key Market Dynamics and Trends

The ai processing control market size has grown exponentially in recent years. It will grow from $1.85 billion in 2023 to $3.91 billion in 2024 at a compound annual growth rate (CAGR) of 111.4%. The growth in the historic period can be attributed to rapid growth in ai adoption, increasing complexity of ai models, expansion of edge computing, growing data volumes, diversity of ai workloads.

The ai processing control market size is expected to see exponential growth in the next few years. It will grow to $77.18 billion in 2028 at a compound annual growth rate (CAGR) of 110.8%. The growth in the forecast period can be attributed to focus on energy efficiency, proliferation of ai at the edge, rise of ai-as-a-service, integration with 5g networks, adoption of hybrid and multi-cloud architectures. Major trends in the forecast period include technological advancements in hardware, edge computing integration, cybersecurity integration, continuous learning algorithms, interoperability standards.

Market Overview -
AI processing control refers to the application of artificial intelligence (AI) to manage and enhance diverse processes within industries like manufacturing, chemical processing, and energy. It is used to streamline production, minimize expenses, and improve safety by automating and optimizing intricate processes.

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Rising Demand For Robotics Propels Growth In The AI Processing Control Market
The growing demand for robotics in industries is expected to boost the growth of the AI processing control market going forward. Robotics is a multidisciplinary field of study and engineering that involves robot design, construction, operation, and use. AI process control empowers robots to dynamically learn, adapt, and enhance their performance by utilizing machine learning algorithms, allowing them to continuously improve based on environmental data and experiences, a crucial capability for addressing diverse tasks and scenarios. For instance, in October 2022, according to a report published by the International Federation of Robotics, a Germany-based non-profit organization, 517,385 new industrial robots were installed in 2021, representing a 31% growth rate compared to the previous year. Further, Asia accounted for the majority, installing 74% of the world's newly deployed robots during the same period. Therefore, the growing demand for robotics in industries is driving the growth of the AI processing control market.

Competitive Landscape -
Major companies operating in the ai processing control market report are Alphabet Inc., Microsoft Corporation, Amazon Web Services, Siemens AG, International Business Machines Corporation, Schneider Electric SE, Broadcom Inc, Salesforce Inc., ABB Ltd., Rockwell Automation, Yokogawa Electric Corporation, Databricks Inc., UiPath, Appian Corporation, DeepMind Technologies Limited, Automation Anywhere, Beyond Limits, SS&C Blue Prism, DataRobot Inc., Bright Machines, Dataiku, Synergies Intelligent Systems, Aquifi, H2O.ai, Tignis, ZymbianZ, Tonkean

AI-Enhanced Inspection Software Gains Traction In Semiconductor Manufacturing
Major companies operating in the AI processing control market are developing advanced technologies, such as inspection software, to gain a competitive edge in the market. Inspection software is a type of computer program or application that simplifies and streamlines the process of evaluating, managing, and inspecting various aspects of products, services, or processes. For instance, in January 2024, Cohu Inc., a US-based semiconductor equipment manufacturer, launched DI-Core AI Inspection, an artificial intelligence (AI) inspection software. The unique feature of this AI inspection software is its ability to process data in real time, enabling semiconductor manufacturers to improve visual inspection accuracy during production at faster speeds. It excels at identifying micro-scale defects in cosmetic patterns with greater precision than existing methods. Its proprietary deep learning and neural network technologies contribute to an improved inspection yield without compromising quality.

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Key Segments -
The ai processing control market covered in this report is segmented -
1) By Deployment Mode: Cloud, On-premises
2) By Application: Forecasts And Prescriptive Models, Chatbots, Speech Recognition, Text Recognition, Other Applications
3) By End User: Manufacturing, Healthcare, Banking, Financial Services and Insurance (BFSI), Research And Academia, Transportation, Retail And E-commerce, Other End Users

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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