AI In Industrial Machinery Market Size 2025-2029
The ai in industrial machinery market size is forecast to increase by USD 19.4 billion, at a CAGR of 32.9% between 2024 and 2029.
The global AI in industrial machinery market is shaped by the need for enhanced operational efficiency and predictive maintenance. This involves the use of machine learning algorithms and real-time data analysis to forecast equipment failures and optimize maintenance schedules. The emergence of generative AI and industrial copilots is a notable trend, transforming human-machine interaction through natural language interfaces and automated code generation. This advancement in generative AI in manufacturing accelerates development cycles and makes complex systems more accessible. However, high initial investment costs and uncertain return on investment present a considerable challenge, particularly for small and medium-sized enterprises, slowing the pace of adoption across the industrial sector.The application of an ai toolkit is becoming central to industrial design and operations. AI in industrial design leverages algorithms to create and optimize machine components, while generative AI in automotive manufacturing streamlines vehicle production. This shift towards intelligent automation is also evident in ai in project management, where it is used to manage complex timelines and resources. Despite these advancements, the substantial capital required for hardware, software, and specialized services makes it difficult for some companies to justify the expenditure. This financial barrier, coupled with the complexity of forecasting long-term benefits, creates hesitation among decision-makers and impedes the widespread implementation of these transformative technologies.
What will be the Size of the AI In Industrial Machinery Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The integration of IIoT and big data analytics is fundamental, creating real-time data streams that fuel machine learning algorithms for sophisticated anomaly detection. This enables a condition-based strategy for predictive maintenance, shifting from reactive repairs to proactive interventions. This approach enhances asset utilization by analyzing complex process variables to optimize performance. The focus on operational efficiency is driving the adoption of factory automation solutions and unified data platforms, which break down data silos and provide a holistic view of manufacturing operations. This evolution is critical for data-driven decision making and achieving higher levels of productivity in the artificial intelligence market in the industrial sector.Advancements in hardware, including graphics processing units, field programmable gate arrays, and neural processing units, are enabling more powerful on-device processing and edge AI. This move to decentralized computing is crucial for applications requiring low latency, such as high-speed quality inspection and real-time process control. AI-enabled sensors are becoming more common, performing initial data analysis locally to optimize bandwidth. The development of generative AI and industrial copilots is also transforming human-machine interaction, allowing for natural language-based automation code generation. This trend in generative AI in manufacturing sector is instrumental in addressing the skilled labor shortage and enhancing worker safety through more intuitive and accessible technology.The creation of photorealistic digital twins represents a convergence of the physical and digital worlds, allowing for advanced simulation and testing of industrial systems in a virtual environment. This is particularly relevant for generative AI in industrial design, where algorithms can autonomously create and optimize designs for machine components. The focus on cybersecurity vulnerabilities remains a critical consideration as industrial control systems become more connected. System integration services and managed AI services are essential for deploying these complex solutions, especially given the challenges of data integration and the need for a skilled workforce. The use of intelligent robotics and collaborative robots continues to expand, further automating manufacturing tasks and improving operational intelligence.
How is this AI In Industrial Machinery Industry segmented?
The ai in industrial machinery industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Component
- Technology
- Machine learning
- Computer vision
- Context awareness
- Natural language processing
- End-user
- Automotive
- Semiconductor
- Oil and gas
- Food processing
- Others
- Geography
- North America
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- Middle East and Africa
- South America
- Rest of World (ROW)
By Component Insights
The hardware segment is estimated to witness significant growth during the forecast period.
The hardware segment forms the foundational layer for intelligent automation, characterized by rapid innovation in specialized processors and edge computing devices. Key components include Graphics Processing Units, Field Programmable Gate Arrays, and Neural Processing Units, which are architected to accelerate machine learning tasks. A significant trend is the shift toward edge computing, where on-device processing reduces latency and enhances data security. Hardware constituted over 53% of the market in a recent year, reflecting its critical role in AI deployment.
This segment's growth is driven by the need for real-time applications like robotic control and high-speed quality inspection. The development of AI-enabled sensors, which can perform initial data analysis locally, is another critical sub-segment. These intelligent hardware components are indispensable for extracting actionable insights from the vast amount of data generated by the Industrial Internet of Things without overwhelming network infrastructure. The relentless pace of innovation is aimed at powering AI factories and autonomous systems with increasingly powerful and efficient hardware.
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The Hardware segment was valued at USD 839.00 million in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 33.1% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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North America represents a highly advanced and mature market, characterized by its role as an early adopter of cutting-edge technologies and a robust research and development ecosystem. A primary driver for AI adoption in this region is the strategic imperative to enhance manufacturing competitiveness through smart factory initiatives and the reshoring of production. The US market was valued at approximately USD 1.7 billion in the base year, highlighting the region's significant investment in AI for industrial applications.
High labor costs and a persistent shortage of skilled manufacturing talent further accelerate the push toward AI-driven automation in North America. The region is home to key technology providers that are shaping the market on a global scale. There is a strong regional trend toward creating deeply immersive virtual environments for AI model training and validation, as well as unifying operational and information technology data to accelerate the deployment of AI in factory settings. This focus on innovation solidifies the region's leadership position.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The global AI in industrial machinery market is undergoing a significant transformation, focused on enhancing operational efficiency with AI. OEMs are leveraging AI-driven predictive maintenance strategies to minimize equipment downtime and employing machine learning for process optimization. On the factory floor, real-time computer vision for quality control ensures product standards are met, while autonomous robotics for manufacturing tasks and AI-powered systems for worker safety are pivotal in addressing skilled labor shortages through automation. The user experience is also evolving with natural language processing for human-machine interfaces, making complex machinery more accessible. Furthermore, cutting-edge applications include generative AI for industrial design automation for rapid prototyping, edge AI for low-latency industrial applications for immediate decision-making, and the deployment of AI-enabled sensors for data collection to fuel these intelligent systems.Successful implementation hinges on a robust digital framework, requiring seamless IIoT and big data analytics integration. This allows for sophisticated applications like digital twin technology for asset simulation and comprehensive AI for supply chain and logistics optimization. The computational backbone relies on high-performance computing for AI models, often managed through scalable cloud platforms for industrial AI deployment. However, significant hurdles remain. Ensuring strong cybersecurity in connected industrial systems is paramount, and many organizations still grapple with data integration challenges in manufacturing, particularly when integrating operational and information technology data. Ultimately, unlocking the full potential of this technological shift demands a strategic focus on upskilling workforce for AI collaboration, preparing employees to work alongside intelligent machines.
What are the key market drivers leading to the rise in the adoption of AI In Industrial Machinery Industry?
- The imperative for enhanced operational efficiency and a strategic shift to predictive maintenance is a key market driver.
The pursuit of enhanced operational efficiency and a strategic move toward predictive maintenance is a significant driver in the global AI in industrial machinery market. Companies are under pressure to maximize productivity, reduce costs, and increase asset utilization. AI provides a powerful suite of tools to achieve these goals by turning raw data into actionable intelligence. Predictive maintenance, a cornerstone application, uses machine learning to analyze data streams from sensors monitoring parameters like vibration and temperature. By identifying patterns that precede equipment failure, these systems can forecast breakdowns, enabling a proactive, condition-based maintenance strategy. This approach reduces unplanned downtime, extends machinery life, and optimizes maintenance resources. Beyond maintenance, AI is crucial for process optimization, with machine learning models analyzing production variables to identify the most efficient operational settings, leading to increased throughput and improved product quality.The rapid proliferation of the Industrial Internet of Things (IIOT) is a fundamental catalyst for the global AI in industrial machinery market. The convergence of machinery with a vast network of sensors and connectivity forms the basis of the modern smart factory, generating an unprecedented volume of data. This big data includes everything from machine performance to supply chain logistics. While IIoT provides the data collection mechanism, AI acts as the analytical brain, interpreting this information to derive value. The scale and complexity of this data make traditional analysis methods inadequate. AI, especially machine learning, is uniquely capable of uncovering hidden patterns and correlations. This symbiotic relationship creates a powerful feedback loop where more data enhances AI model learning and prediction precision. A 2024 report highlighted that technology and talent are primary drivers of risk and competitive advantage, underscoring the importance of leveraging data effectively.
What are the market trends shaping the AI In Industrial Machinery Industry?
- The emergence of generative AI and industrial copilots is a key upcoming market trend.
A transformative trend in the global AI in industrial machinery market is the application of generative artificial intelligence, particularly in the form of industrial copilots and conversational interfaces. This represents a significant evolution from purely analytical AI to a technology that can create novel content like software code and technical documentation. This trend is changing human-machine interaction, making complex systems more accessible. The core of this trend involves large language models fine-tuned with industrial data. These AI assistants understand natural language queries, enabling staff to perform complex tasks without specialized programming skills. For example, a generative AI tool can allow automation engineers to generate complex controller code by describing the desired function, reducing development time from weeks to minutes. This application directly addresses skilled labor shortages and the need to upskill the workforce.Another dominant trend is the strategic shift from cloud-centric computing to Edge AI, which involves performing computations directly on or near the industrial machinery. This move toward decentralized, on-device processing is driven by the need for real-time decision-making, enhanced data security, and reduced latency. In many manufacturing scenarios, such as controlling high-speed robotics or automated quality inspection, the delay of sending data to a remote cloud server is unacceptable. Edge AI resolves this by embedding processing capabilities into the hardware. This ensures that data is analyzed and acted upon in milliseconds, enabling the instantaneous responses required for safe and efficient operation. North America accounts for 33.09% of the growth opportunity, with many firms in the region pioneering edge AI solutions for industrial applications. Furthermore, processing sensitive operational data on-premises improves data security by minimizing transmission over external networks.
What challenges does the AI In Industrial Machinery Industry face during its growth?
- The high initial investment and uncertain return on investment present a significant challenge to market growth.
A formidable challenge for the global AI in industrial machinery market is the substantial initial capital investment and the difficulty in forecasting the return on investment. Implementing AI is not a simple upgrade; it often requires a comprehensive and costly overhaul of existing infrastructure. The financial outlay includes hardware costs for high-performance computing resources like GPUs and a network of advanced sensors and edge devices. Software expenses involve licensing fees for specialized AI platforms and development costs for custom machine learning models. Additionally, the services component, including expert consulting and system integration, represents a significant portion of the budget. Compounding this is the challenge of quantifying the return on investment. While benefits like reduced downtime are clear, translating them into a concrete financial forecast is complex, leading to hesitation among decision-makers, especially in small and medium-sized enterprises.The effectiveness of any AI system in industrial machinery depends on the quality, quantity, and accessibility of data, which presents a multifaceted challenge. A primary hurdle is the issue of data silos. Industrial operations have long accumulated data in disparate systems, with operational technology data stored separately from information technology data. Integrating these heterogeneous datasets is a major technical undertaking, often hindered by proprietary formats and a lack of interoperability. Moreover, the quality of data from industrial sensors can be inconsistent, with issues like noise and inaccuracies that can compromise AI model performance. The need to train these models on vast, accurately labeled datasets is another significant challenge, often requiring a time-consuming data-labeling effort. As machinery becomes more connected, it also introduces significant cybersecurity vulnerabilities. The price sensitivity has a neutral impact on purchasing decisions, suggesting that while cost is a factor, functionality and security are equally important.
Exclusive Customer Landscape
The ai in industrial machinery market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai in industrial machinery market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai in industrial machinery market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
ABB Ltd. - The company provides AI solutions for industrial machinery, specializing in AI-driven orchestration for robotics and logistics automation. This offering focuses on integrating intelligent control systems to streamline and coordinate automated processes in industrial environments. By leveraging AI, the solution enhances the efficiency and effectiveness of robotic operations and automates complex logistical workflows, enabling more seamless and productive industrial automation.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- ABB Ltd.
- AVEVA Group Plc
- Bentley Systems Inc.
- Robert Bosch GmbH
- C3.ai Inc.
- Caterpillar Inc.
- Emerson Electric Co.
- FANUC Corp.
- General Electric Co.
- Hitachi Ltd.
- Honeywell International Inc.
- International Business Machines Corp.
- KUKA AG
- Microsoft Corp.
- Mitsubishi Electric Corp.
- NVIDIA Corp.
- Oracle Corp.
- Rockwell Automation Inc.
- SAP SE
- Siemens AG
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai In Industrial Machinery Market
In June 2024, NVIDIA announced its next-generation Rubin architecture, underscoring its focus on powering AI factories and autonomous systems that rely heavily on edge computing.In April 2024, Microsoft announced the private preview of its manufacturing data solutions in Microsoft Fabric, a unified platform designed to connect and analyze data from both operational technology and information technology systems.In March 2024, Rockwell Automation announced a collaboration with NVIDIA to integrate Rockwell's Emulate3D software with the NVIDIA Omniverse platform, aiming to accelerate the development of next-generation industrial architectures through digital twins.In February 2024, Intel launched its Edge Platform, a modular software framework designed to help enterprises build, deploy, and manage AI applications at the edge.
Research Analyst Overview
The global AI in industrial machinery market is dynamically shifting as IIoT infrastructure generates vast real-time data streams from AI-enabled sensors. Leveraging big data analytics and sophisticated machine learning algorithms, organizations are moving toward a proactive condition-based strategy for predictive maintenance and anomaly detection, which enhances asset utilization and operational efficiency. Central to this evolution is process optimization through process variables analysis for energy consumption reduction and product quality improvement. The adoption of autonomous guided vehicles within comprehensive factory automation solutions also addresses the skilled labor shortage. Industry expansion is anticipated, with some projections showing a 22% increase in market penetration over the next five years, supporting more intelligent automation and data-driven decision making across operations.Further transformation is evident with the adoption of digital twins for complex simulations and generative AI for creating photorealistic digital twins and enabling automation code generation. This progression relies on edge AI and on-device processing, which utilize high-performance computing hardware like graphics processing units, field programmable gate arrays, and neural processing units. While these developments advance intelligent automation, challenges surrounding data integration into unified data platforms and mitigating cybersecurity vulnerabilities persist. Advanced computer vision systems are deployed to improve worker safety, while natural language processing and context awareness are foundational to emerging industrial copilots and robotic process automation, contributing to an optimized supply chain optimization.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI In Industrial Machinery Market insights. See full methodology.
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Market Scope
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Report Coverage
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Details
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Page number
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340
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Base year
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2024
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Historic period
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2019 - 2023 |
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Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 32.9%
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Market growth 2024-2029
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USD 19.4 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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27.5%
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Key countries
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US, Canada, Mexico, China, Japan, India, South Korea, Australia, Indonesia, Germany, UK, France, Italy, Spain, The Netherlands, Saudi Arabia, UAE, South Africa, Israel, Turkey, Brazil, Argentina, Colombia
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this AI In Industrial Machinery Market Research and Growth Report?
- CAGR of the AI In Industrial Machinery industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across North America, APAC, Europe, Middle East and Africa, South America
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai in industrial machinery market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by End-user
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ billion)
- Data Table on Global - Market size and forecast 2024-2029 ($ billion)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI In Industrial Machinery Market 2019 - 2023
- Historic Market Size - Data Table on Global AI In Industrial Machinery Market 2019 - 2023 ($ billion)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ billion)
- 5.3 Technology segment analysis 2019 - 2023
- Historic Market Size - Technology Segment 2019 - 2023 ($ billion)
- 5.4 End-user segment analysis 2019 - 2023
- Historic Market Size - End-user Segment 2019 - 2023 ($ billion)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ billion)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ billion)
6 Five Forces Analysis
- 6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
7 Market Segmentation by Component
- 7 Market Segmentation by Component
- 7.1 Market segments
- Chart on Component - Market share 2024-2029 (%)
- Data Table on Component - Market share 2024-2029 (%)
- 7.2 Comparison by Component
- Chart on Comparison by Component
- Data Table on Comparison by Component
- 7.3 Hardware - Market size and forecast 2024-2029
- Chart on Hardware - Market size and forecast 2024-2029 ($ billion)
- Data Table on Hardware - Market size and forecast 2024-2029 ($ billion)
- Chart on Hardware - Year-over-year growth 2024-2029 (%)
- Data Table on Hardware - Year-over-year growth 2024-2029 (%)
- 7.4 Software - Market size and forecast 2024-2029
- Chart on Software - Market size and forecast 2024-2029 ($ billion)
- Data Table on Software - Market size and forecast 2024-2029 ($ billion)
- Chart on Software - Year-over-year growth 2024-2029 (%)
- Data Table on Software - Year-over-year growth 2024-2029 (%)
- 7.5 Services - Market size and forecast 2024-2029
- Chart on Services - Market size and forecast 2024-2029 ($ billion)
- Data Table on Services - Market size and forecast 2024-2029 ($ billion)
- Chart on Services - Year-over-year growth 2024-2029 (%)
- Data Table on Services - Year-over-year growth 2024-2029 (%)
- 7.6 Market opportunity by Component
- Market opportunity by Component ($ billion)
- Data Table on Market opportunity by Component ($ billion)
8 Market Segmentation by Technology
- 8 Market Segmentation by Technology
- 8.1 Market segments
- Chart on Technology - Market share 2024-2029 (%)
- Data Table on Technology - Market share 2024-2029 (%)
- 8.2 Comparison by Technology
- Chart on Comparison by Technology
- Data Table on Comparison by Technology
- 8.3 Machine learning - Market size and forecast 2024-2029
- Chart on Machine learning - Market size and forecast 2024-2029 ($ billion)
- Data Table on Machine learning - Market size and forecast 2024-2029 ($ billion)
- Chart on Machine learning - Year-over-year growth 2024-2029 (%)
- Data Table on Machine learning - Year-over-year growth 2024-2029 (%)
- 8.4 Computer vision - Market size and forecast 2024-2029
- Chart on Computer vision - Market size and forecast 2024-2029 ($ billion)
- Data Table on Computer vision - Market size and forecast 2024-2029 ($ billion)
- Chart on Computer vision - Year-over-year growth 2024-2029 (%)
- Data Table on Computer vision - Year-over-year growth 2024-2029 (%)
- 8.5 Context awareness - Market size and forecast 2024-2029
- Chart on Context awareness - Market size and forecast 2024-2029 ($ billion)
- Data Table on Context awareness - Market size and forecast 2024-2029 ($ billion)
- Chart on Context awareness - Year-over-year growth 2024-2029 (%)
- Data Table on Context awareness - Year-over-year growth 2024-2029 (%)
- 8.6 Natural language processing - Market size and forecast 2024-2029
- Chart on Natural language processing - Market size and forecast 2024-2029 ($ billion)
- Data Table on Natural language processing - Market size and forecast 2024-2029 ($ billion)
- Chart on Natural language processing - Year-over-year growth 2024-2029 (%)
- Data Table on Natural language processing - Year-over-year growth 2024-2029 (%)
- 8.7 Market opportunity by Technology
- Market opportunity by Technology ($ billion)
- Data Table on Market opportunity by Technology ($ billion)
9 Market Segmentation by End-user
- 9 Market Segmentation by End-user
- 9.1 Market segments
- Chart on End-user - Market share 2024-2029 (%)
- Data Table on End-user - Market share 2024-2029 (%)
- 9.2 Comparison by End-user
- Chart on Comparison by End-user
- Data Table on Comparison by End-user
- 9.3 Automotive - Market size and forecast 2024-2029
- Chart on Automotive - Market size and forecast 2024-2029 ($ billion)
- Data Table on Automotive - Market size and forecast 2024-2029 ($ billion)
- Chart on Automotive - Year-over-year growth 2024-2029 (%)
- Data Table on Automotive - Year-over-year growth 2024-2029 (%)
- 9.4 Semiconductor - Market size and forecast 2024-2029
- Chart on Semiconductor - Market size and forecast 2024-2029 ($ billion)
- Data Table on Semiconductor - Market size and forecast 2024-2029 ($ billion)
- Chart on Semiconductor - Year-over-year growth 2024-2029 (%)
- Data Table on Semiconductor - Year-over-year growth 2024-2029 (%)
- 9.5 Oil and gas - Market size and forecast 2024-2029
- Chart on Oil and gas - Market size and forecast 2024-2029 ($ billion)
- Data Table on Oil and gas - Market size and forecast 2024-2029 ($ billion)
- Chart on Oil and gas - Year-over-year growth 2024-2029 (%)
- Data Table on Oil and gas - Year-over-year growth 2024-2029 (%)
- 9.6 Food processing - Market size and forecast 2024-2029
- Chart on Food processing - Market size and forecast 2024-2029 ($ billion)
- Data Table on Food processing - Market size and forecast 2024-2029 ($ billion)
- Chart on Food processing - Year-over-year growth 2024-2029 (%)
- Data Table on Food processing - Year-over-year growth 2024-2029 (%)
- 9.7 Others - Market size and forecast 2024-2029
- Chart on Others - Market size and forecast 2024-2029 ($ billion)
- Data Table on Others - Market size and forecast 2024-2029 ($ billion)
- Chart on Others - Year-over-year growth 2024-2029 (%)
- Data Table on Others - Year-over-year growth 2024-2029 (%)
- 9.8 Market opportunity by End-user
- Market opportunity by End-user ($ billion)
- Data Table on Market opportunity by End-user ($ billion)
10 Customer Landscape
- 10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11 Geographic Landscape
- 11.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 11.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ billion)
- Data Table on North America - Market size and forecast 2024-2029 ($ billion)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 11.3.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ billion)
- Data Table on US - Market size and forecast 2024-2029 ($ billion)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 11.3.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ billion)
- Data Table on Canada - Market size and forecast 2024-2029 ($ billion)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 11.3.3 Mexico - Market size and forecast 2024-2029
- Chart on Mexico - Market size and forecast 2024-2029 ($ billion)
- Data Table on Mexico - Market size and forecast 2024-2029 ($ billion)
- Chart on Mexico - Year-over-year growth 2024-2029 (%)
- Data Table on Mexico - Year-over-year growth 2024-2029 (%)
- 11.4 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ billion)
- Data Table on APAC - Market size and forecast 2024-2029 ($ billion)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 11.4.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ billion)
- Data Table on China - Market size and forecast 2024-2029 ($ billion)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 11.4.2 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ billion)
- Data Table on Japan - Market size and forecast 2024-2029 ($ billion)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 11.4.3 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ billion)
- Data Table on India - Market size and forecast 2024-2029 ($ billion)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 11.4.4 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ billion)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 11.4.5 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Australia - Market size and forecast 2024-2029 ($ billion)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 11.4.6 Indonesia - Market size and forecast 2024-2029
- Chart on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Chart on Indonesia - Year-over-year growth 2024-2029 (%)
- Data Table on Indonesia - Year-over-year growth 2024-2029 (%)
- 11.5 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ billion)
- Data Table on Europe - Market size and forecast 2024-2029 ($ billion)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 11.5.1 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ billion)
- Data Table on Germany - Market size and forecast 2024-2029 ($ billion)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 11.5.2 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ billion)
- Data Table on UK - Market size and forecast 2024-2029 ($ billion)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 11.5.3 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ billion)
- Data Table on France - Market size and forecast 2024-2029 ($ billion)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 11.5.4 Italy - Market size and forecast 2024-2029
- Chart on Italy - Market size and forecast 2024-2029 ($ billion)
- Data Table on Italy - Market size and forecast 2024-2029 ($ billion)
- Chart on Italy - Year-over-year growth 2024-2029 (%)
- Data Table on Italy - Year-over-year growth 2024-2029 (%)
- 11.5.5 Spain - Market size and forecast 2024-2029
- Chart on Spain - Market size and forecast 2024-2029 ($ billion)
- Data Table on Spain - Market size and forecast 2024-2029 ($ billion)
- Chart on Spain - Year-over-year growth 2024-2029 (%)
- Data Table on Spain - Year-over-year growth 2024-2029 (%)
- 11.5.6 The Netherlands - Market size and forecast 2024-2029
- Chart on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Data Table on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Chart on The Netherlands - Year-over-year growth 2024-2029 (%)
- Data Table on The Netherlands - Year-over-year growth 2024-2029 (%)
- 11.6 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 11.6.1 Saudi Arabia - Market size and forecast 2024-2029
- Chart on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Chart on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- Data Table on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- 11.6.2 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ billion)
- Data Table on UAE - Market size and forecast 2024-2029 ($ billion)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 11.6.3 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 11.6.4 Israel - Market size and forecast 2024-2029
- Chart on Israel - Market size and forecast 2024-2029 ($ billion)
- Data Table on Israel - Market size and forecast 2024-2029 ($ billion)
- Chart on Israel - Year-over-year growth 2024-2029 (%)
- Data Table on Israel - Year-over-year growth 2024-2029 (%)
- 11.6.5 Turkey - Market size and forecast 2024-2029
- Chart on Turkey - Market size and forecast 2024-2029 ($ billion)
- Data Table on Turkey - Market size and forecast 2024-2029 ($ billion)
- Chart on Turkey - Year-over-year growth 2024-2029 (%)
- Data Table on Turkey - Year-over-year growth 2024-2029 (%)
- 11.7 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ billion)
- Data Table on South America - Market size and forecast 2024-2029 ($ billion)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 11.7.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ billion)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ billion)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 11.7.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ billion)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ billion)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 11.7.3 Colombia - Market size and forecast 2024-2029
- Chart on Colombia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Colombia - Market size and forecast 2024-2029 ($ billion)
- Chart on Colombia - Year-over-year growth 2024-2029 (%)
- Data Table on Colombia - Year-over-year growth 2024-2029 (%)
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
12 Drivers, Challenges, and Opportunity
- 12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Imperative for enhanced operational efficiency and predictive maintenance
- Proliferation of industrial internet of things and big data analytics
- Addressing skilled labor shortage and enhancing worker safety
- 12.2 Market challenges
- High initial investment and uncertain return on investment
- Data integration complexity and cybersecurity vulnerabilities
- Scarcity of skilled talent and need for workforce upskilling
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Emergence of generative AI and industrial copilots
- Proliferation of edge AI and on-device processing
- Integration of AI with digital twins for advanced simulation
13 Competitive Landscape
- 13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14 Competitive Analysis
- 14.1 Companies profiled
- 14.2 Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 ABB Ltd.
- ABB Ltd. - Overview
- ABB Ltd. - Business segments
- ABB Ltd. - Key news
- ABB Ltd. - Key offerings
- ABB Ltd. - Segment focus
- SWOT
- 14.5 AVEVA Group Plc
- AVEVA Group Plc - Overview
- AVEVA Group Plc - Business segments
- AVEVA Group Plc - Key offerings
- AVEVA Group Plc - Segment focus
- SWOT
- 14.6 Bentley Systems Inc.
- Bentley Systems Inc. - Overview
- Bentley Systems Inc. - Business segments
- Bentley Systems Inc. - Key news
- Bentley Systems Inc. - Key offerings
- Bentley Systems Inc. - Segment focus
- SWOT
- 14.7 C3.ai Inc.
- C3.ai Inc. - Overview
- C3.ai Inc. - Product / Service
- C3.ai Inc. - Key news
- C3.ai Inc. - Key offerings
- SWOT
- 14.8 Emerson Electric Co.
- Emerson Electric Co. - Overview
- Emerson Electric Co. - Business segments
- Emerson Electric Co. - Key news
- Emerson Electric Co. - Key offerings
- Emerson Electric Co. - Segment focus
- SWOT
- 14.9 General Electric Co.
- General Electric Co. - Overview
- General Electric Co. - Business segments
- General Electric Co. - Key news
- General Electric Co. - Key offerings
- General Electric Co. - Segment focus
- SWOT
- 14.10 Honeywell International Inc.
- Honeywell International Inc. - Overview
- Honeywell International Inc. - Business segments
- Honeywell International Inc. - Key news
- Honeywell International Inc. - Key offerings
- Honeywell International Inc. - Segment focus
- SWOT
- 14.11 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 14.12 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.13 Mitsubishi Electric Corp.
- Mitsubishi Electric Corp. - Overview
- Mitsubishi Electric Corp. - Business segments
- Mitsubishi Electric Corp. - Key offerings
- Mitsubishi Electric Corp. - Segment focus
- SWOT
- 14.14 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 14.15 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 14.16 Rockwell Automation Inc.
- Rockwell Automation Inc. - Overview
- Rockwell Automation Inc. - Business segments
- Rockwell Automation Inc. - Key news
- Rockwell Automation Inc. - Key offerings
- Rockwell Automation Inc. - Segment focus
- SWOT
- 14.17 SAP SE
- SAP SE - Overview
- SAP SE - Business segments
- SAP SE - Key news
- SAP SE - Key offerings
- SAP SE - Segment focus
- SWOT
- 14.18 Siemens AG
- Siemens AG - Overview
- Siemens AG - Business segments
- Siemens AG - Key news
- Siemens AG - Key offerings
- Siemens AG - Segment focus
- SWOT
15 Appendix
- 15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- 15.5 Data procurement
- 15.6 Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
- Manufacturers and suppliers
- Channel partners
- Industry experts
- Strategic decision makers
Secondary sources
- Industry journals and periodicals
- Government data
- Financial reports of key industry players
- Historical data
- Press releases
DATA ANALYSIS
Data Synthesis
- Collation of data
- Estimation of key figures
- Analysis of derived insights
Data Validation
- Triangulation with data models
- Reference against proprietary databases
- Corroboration with industry experts
REPORT WRITING
Qualitative
- Market drivers
- Market challenges
- Market trends
- Five forces analysis
Quantitative
- Market size and forecast
- Market segmentation
- Geographical insights
- Competitive landscape
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