PUBLISHER: The Business Research Company | PRODUCT CODE: 1680862
PUBLISHER: The Business Research Company | PRODUCT CODE: 1680862
AI processing control involves applying artificial intelligence (AI) to manage and optimize various processes in industries such as manufacturing, chemical processing, and energy. Its aim is to streamline production, reduce expenses, and enhance safety by automating and optimizing complex processes.
The primary deployment modes for AI processing control are cloud-based and on-premises. Cloud deployment involves deploying applications or services through hosting models such as software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) leveraging the cloud. These deployments support various applications such as forecasting and prescriptive models, chatbots, speech recognition, text recognition, and others. End-users of AI processing control span across industries including manufacturing, healthcare, banking, financial services and insurance (BFSI), research and academia, transportation, retail, e-commerce, and others.
The AI processing control market research report is one of a series of new reports from The Business Research Company that provides AI processing control market statistics, including the AI processing control industry global market size, regional shares, competitors with a AI processing control market share, detailed AI processing control market segments, market trends and opportunities, and any further data you may need to thrive in the AI processing control industry. This AI processing control market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI processing control market size has grown exponentially in recent years. It will grow from $3.91 billion in 2024 to $8.25 billion in 2025 at a compound annual growth rate (CAGR) of 111.2%. 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 $162.86 billion in 2029 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.
The increasing demand for robotics across industries is expected to drive the growth of the AI processing control market. Robotics is an interdisciplinary field that focuses on the design, construction, operation, and use of robots. AI process control enables robots to learn dynamically, adapt, and improve their performance by utilizing machine learning algorithms. This allows robots to continuously enhance their capabilities based on environmental data and experiences, which is essential for handling a wide range of tasks and scenarios. For example, in April 2024, the International Federation of Robotics, a Germany-based industry association, reported that industrial robot installations increased by 12%, reaching 44,303 units in 2023. Therefore, the growing demand for robotics in various industries is fueling the growth of the AI processing control market.
Leading companies in the AI processing control market are focusing on developing advanced technologies such as inspection software to gain a competitive advantage. Inspection software streamlines the evaluation, management, and inspection processes of products, services, or processes. For instance, Cohu Inc., a US-based semiconductor equipment manufacturer, introduced DI-Core AI Inspection in January 2024, an artificial intelligence (AI) inspection software capable of processing real-time data. This software enhances visual inspection accuracy during semiconductor production at faster speeds, identifying micro-scale defects in cosmetic patterns with greater precision than existing methods, thanks to proprietary deep learning and neural network technologies.
In November 2023, Celonis SE, a US-based software-as-a-service company, acquired Symbioworld GmbH, enhancing their Process Cockpit with live process insights and data from Symbio. This integration provides organizations with a unified experience, facilitating compliant and intelligent process execution by combining essential process Key Performance Indicators (KPIs) and insights with the organization's process models and guidelines. Symbioworld GmbH, based in Germany, specializes in AI-driven business process management software.
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
Asia-Pacific was the largest region in the AI Processing Control market in 2024. The regions covered in the AI processing control market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the AI processing control market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain
The AI processing control market consists of revenues earned by entities by providing services such as production process optimization, enhancing safety and quality, and automating business workflows. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI processing control market also includes sales of central processing units (CPUs), servers and graphic processing units (GPUs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
AI Processing Control Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on ai processing control market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for ai processing control ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai processing control 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 historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.