Smart Machines Global Market Report 2026

Smart machines are cognitive computing systems capable of decision-making and problem-solving without human intervention. They leverage machine-to-machine and cognitive computing technologies, including machine learning and deep learning, to perform tasks autonomously.

Smart machines consist of hardware, software, and services. Hardware comprises tangible components or delivery systems that execute instructions from software. Technologies such as cloud computing, big data, the internet of things, robotics, cognitive computing, and affective computing enable smart machines such as robots, autonomous vehicles, drones, and wearables. These technologies find application in various sectors such as manufacturing, transportation, healthcare, consumer goods, retail, aerospace, defense, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs have impacted the smart machines market by increasing costs of imported semiconductors, sensors, processors, and connectivity modules used in intelligent hardware systems. Hardware intensive segments such as robots, autonomous vehicles, and drones are most affected, particularly in asia pacific and north america where global electronics supply chains are deeply integrated. Higher component costs have raised deployment expenses and extended implementation timelines. At the same time, tariffs are encouraging localized manufacturing, regional semiconductor investments, and development of resilient smart machine supply ecosystems.

The smart machines market research report is one of a series of new reports from The Business Research Company that provides smart machines market statistics, including smart machines industry global market size, regional shares, competitors with smart machines market share, detailed smart machines market segments, market trends, and opportunities, and any further data you may need to thrive in the smart machines industry. This smart machines market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The smart machines market size has grown rapidly in recent years. It will grow from $224.38 billion in 2025 to $253.38 billion in 2026 at a compound annual growth rate (CAGR) of 12.9%. The growth in the historic period can be attributed to advancements in computing power, growth in data availability, early adoption of industrial automation, expansion of cloud infrastructure, rising demand for operational efficiency.

The smart machines market size is expected to see rapid growth in the next few years. It will grow to $414.91 billion in 2030 at a compound annual growth rate (CAGR) of 13.1%. The growth in the forecast period can be attributed to AI model performance improvements, expansion of autonomous systems adoption, increased investment in smart infrastructure, growing demand for predictive decision making, rising enterprise digital transformation initiatives. Major trends in the forecast period include rising deployment of self learning machines, growing integration of cognitive decision systems, increased adoption of machine to machine communication, higher demand for autonomous operational capabilities, expansion of real time data driven automation.

The increasing requirement for enhanced data accessibility across various industries is expected to support the growth of the smart machines market. Data accessibility refers to employees' ability to retrieve and utilize information from organizational databases. Smart machines depend heavily on accessible, high-quality data to function effectively, adapt to changing conditions, and deliver optimal performance. For example, in December 2024, Hitachi Vantara, a US-based data and innovation platform provider, reported that 37% of U.S. companies identified data quality or data infrastructure readiness as a major challenge when implementing AI, indicating that as businesses accelerate AI adoption, data accessibility is becoming a critical bottleneck. Therefore, the growing need for improved data accessibility is contributing to the expansion of the smart machines market.

Major companies in the smart machines market are advancing technological innovations such as AI-powered humanoid robots with integrated vision-language-action systems to meet rising demand for automation. These systems address challenges related to labor shortages, the need for flexible production environments, and the growing preference for adaptable, general-purpose machines in manufacturing, logistics, and service industries. AI-powered humanoid robots combine advanced hardware-including articulated limbs, sensors, and cameras-with onboard artificial intelligence that enables environmental perception, natural-language understanding, and dynamic task execution. For instance, in August 2024, Figure AI, a US-based robotics company, introduced Figure 02, an advanced humanoid robot for industrial and commercial applications. Figure 02 includes six RGB cameras, an onboard vision-language model, integrated audio capabilities for natural speech interaction, and highly dexterous hands. Enhanced computing power further enables real-time reasoning, vision processing, and task control. These capabilities allow the robot to understand spoken instructions, visually analyze its surroundings, and perform tasks such as moving totes or manipulating objects, making it suitable for deployment in factories, warehouses, and service environments. This innovation reflects a broader industry shift from rigid, single-purpose automation toward intelligent, flexible smart machines capable of adapting to diverse tasks.

In July 2025, Comau, an Italy-based industrial automation company, acquired Automha S.p.A. for an undisclosed amount. Through this acquisition, Comau aims to expand and diversify its smart automation portfolio by incorporating Automha's automated warehousing and intralogistics technologies. This move strengthens Comau's position in the rapidly growing logistics and warehouse automation sector while broadening its global customer reach. Automha S.p.A. is an Italy-based manufacturer specializing in smart machines, including advanced automated storage systems.

Major companies operating in the smart machines market are Alphabet Inc., Microsoft Corporation, Amazon.com Inc., IBM Corporation, Siemens AG, General Electric Company, ABB Ltd., Robert Bosch GmbH, Honeywell International Inc., Schneider Electric SE, Rockwell Automation Inc., Emerson Electric Co., KUKA AG, FANUC Corporation, Yaskawa Electric Corporation, Boston Dynamics Inc., Tesla Inc., NVIDIA Corporation, Intel Corporation, Qualcomm Technologies Inc., Baidu Inc., Toyota Motor Corporation, Hyundai Motor Company, BAE Systems plc, Lockheed Martin Corporation

North America was the largest region in the smart machines market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the smart machines market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the smart machines market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The smart machines market consists of revenues earned by entities by services such as maintenance, updates, and support through subscription models, cloud-based services for data storage, processing, or communication, consulting and implementation services. The market value includes the value of related goods sold by the service provider or included within the service offering. The smart machines market also includes sales of physical smart machines, such as robots, drones, and autonomous vehicles. 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.

Smart Machines Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses smart machines 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.

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Where is the largest and fastest growing market for smart machines ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The smart machines 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Component: Hardware; Software; Services;
• 2) By Technology: Cloud Computing Technology; Big Data Technology; Internet of Everything; Robotics; Cognitive Technology; Affective Technology
• 3) By Machine: Robots; Autonomous Cars; Drones; Wearable Devices; Other Machines
• 4) By Verticals: Manufacturing; Transportation And Logistics; Healthcare; Consumer Goods And Retail; Aerospace And Defense; Other Verticals
• Subsegments:
• 1) By Hardware: Sensors; Actuators; Processors; Communication Devices; Connectivity Modules
• 2) By Software: Operating Systems; Application Software; Data Analytics Software; Artificial Intelligence (AI) Software; Security Software
• 3) By Services: Consulting Services; Integration Services; Maintenance And Support Services; Training Services; Managed Services
• Companies Mentioned: Alphabet Inc.; Microsoft Corporation; Amazon.com Inc.; IBM Corporation; Siemens AG; General Electric Company; ABB Ltd.; Robert Bosch GmbH; Honeywell International Inc.; Schneider Electric SE; Rockwell Automation Inc.; Emerson Electric Co.; KUKA AG; FANUC Corporation; Yaskawa Electric Corporation; Boston Dynamics Inc.; Tesla Inc.; NVIDIA Corporation; Intel Corporation; Qualcomm Technologies Inc.; Baidu Inc.; Toyota Motor Corporation; Hyundai Motor Company; BAE Systems plc; Lockheed Martin Corporation
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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