Global Cognitive Robotics Market Research Report: By Learning Type (Motor Babble, Imitation, and Knowledge Acquisition), By End-Use Industry (Automotive, Aerospace & Defense, Healthcare, Consumer Electronics, Commercial, and Others), and by Region (North America, Europe, Asia-Pacific, and Rest of the World) Global Industry Analysis, Size, Share, Growth, Trends, Regional Analysis, Competitor Analysis and Forecast 2023-2031.
The global cognitive robotics market size was valued at USD 4.72 billion in 2022, and is estimated to reach approximately USD 21.75 billion by 2031, at a CAGR of 18.5% from 2023 to 2031. Cognitive robotics involves the merging of robotics and artificial intelligence to create machines capable of performing complex tasks by simulating human cognitive abilities. These machines possess the capability to perceive and analyze environmental data, detect patterns, and adapt their actions based on changing circumstances. With applications spanning various domains such as healthcare, manufacturing, and transportation, the primary goal of cognitive robotics is to develop robots that can interact with humans in a natural and intuitive manner. This creates opportunities for enhanced collaboration between humans and machines, ultimately leading to the advancement of intelligent and autonomous systems that bring significant benefits to society.
COGNITIVE ROBOTICS MARKET: REPORT SCOPE & SEGMENTATION
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Report Attribute |
Details |
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Estimated Market Value (2022) |
4.72 Bn |
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Projected Market Value (2031) |
21.75 Bn |
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Base Year |
2022 |
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Forecast Years |
2023 - 2031 |
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Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- By Learning Type, By End-Use Industry, & Region |
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Segments Covered |
By Learning Type, By End-Use Industry, & Region |
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Forecast Units |
Value (USD Billion or Million), and Volume (Units) |
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Quantitative Units |
Revenue in USD million/billion and CAGR from 2023 to 2031 |
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Regions Covered |
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World |
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Countries Covered |
U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others |
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Report Coverage |
Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis. |
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Delivery Format |
Delivered as an attached PDF and Excel through email, according to the purchase option. |
Global Cognitive Robotics Market Dynamics
The growth of the cognitive robotics market is driven by several key factors. These include advancements in artificial intelligence and robotics technologies, a growing demand for automation and industrial robotics, an increasing utilization of cognitive robots in healthcare, and the need for cost-effective solutions. Additionally, there is a rising requirement for personalized and interactive robots, substantial investments in research and development initiatives, and the rapid emergence of cloud-based robotics, all of which contribute to the expansion of the market. Furthermore, the integration of cognitive robots with the Internet of Things (IoT) and other cutting-edge technologies such as machine learning and natural language processing further accelerates the adoption of cognitive robotics solutions across various industries.
Global Cognitive Robotics Market Drivers
Advancements in artificial intelligence (AI) and robotics technologies refer to the continuous progress and innovation in the capabilities and functionalities of AI and robotics systems. These advancements involve the development of more sophisticated algorithms, improved machine learning techniques, enhanced computer vision capabilities, and the integration of AI with robotics to create intelligent and autonomous systems. These technological advancements empower robots with advanced cognitive abilities, enabling them to perceive, learn, reason, and adapt to complex environments and tasks.
Restraints:
High initial costs in the context of cognitive robotics refer to the significant financial investments required for the development, implementation, and deployment of cognitive robotics systems. These costs include research and development expenses, procurement of advanced hardware and software, customization for specific applications, and training personnel. The high upfront investment can act as a barrier, particularly for small and medium-sized enterprises (SMEs), limiting their adoption of cognitive robotics technology and its benefits.
Opportunities:
Personalized and interactive robots are designed to provide tailored and engaging experiences for users. These robots are equipped with advanced technologies such as natural language processing, computer vision, and emotion recognition, allowing them to understand and respond to individual preferences, emotions, and needs. They can adapt their behaviors, communication styles, and responses to create personalized interactions with users. This enables them to serve as companions, assistants, or customer service agents, enhancing user satisfaction and creating more meaningful and engaging human-robot interactions.
Segment Overview
By Learning Type
In terms of services, the global cognitive robotics market is categorized into motor babble, imitation, and knowledge acquisition. Among these, the motor babble segment currently holds the largest market share, accounting for approximately 42.6% of the total revenue in 2022. Motor babble is a technique widely employed in cognitive robotics that utilizes intricate motor movements to generate output patterns. Its remarkable ability to provide accurate responses to standard queries has positioned it as a key driver within the cognitive robotics market. By correlating motor movements with feedback, motor babble facilitates the creation of patterns for controlling robotic systems. This technique shows significant potential for the development of intelligent algorithms that find applications across various sectors such as manufacturing, healthcare, and entertainment. As a result, motor babble has gained widespread adoption and achieved success in the market.
By End-Use Industry
Based on delivery mode, the market is segmented into automotive, aerospace & defense, healthcare, consumer electronics, commercial, and others. In 2022, the automotive sector emerged as the leading segment in the cognitive robotics market, capturing the largest market share of approximately 29.3%. This dominance is attributed to the growing demand for autonomous and semi-autonomous vehicles, which drives the need for advanced cognitive robotics solutions. The integration of cognitive robots in automotive manufacturing processes brings improvements in efficiency, cost reduction, and enhanced product quality. Additionally, cognitive robotics is finding increasing applications in automotive design and engineering, contributing to the expansion of the market. The automotive industry's focus on enhancing the driving experience and ensuring passenger safety serves as a significant driver for the adoption of cognitive robotics solutions.
Global Cognitive Robotics Market Overview by Region
By Region, the market has been segmented into North America, Europe, Asia-Pacific, and the Rest of the World. In 2022, North America accounted for the largest market share of approximately 43.2% in 2022. This growth can be attributed to its well-established infrastructure, a highly skilled workforce, and the presence of major robotics and artificial intelligence firms. Additionally, the widespread adoption of automation and industrial robots across various industries in the region is contributing to the growing demand for cognitive robotics solutions. Furthermore, the region stands out for its substantial investments in research and development activities, with a particular emphasis on enhancing the performance of cognitive robots, thus, this proactive approach is driving the market growth over the forecast period,
Global Cognitive Robotics Market Competitive Landscape
In the global cognitive robotics market, a select group of prominent players dominates the industry and possesses a strong regional presence. These key participants are dedicated to continuous research and development efforts while actively pursuing strategic growth initiatives like product development, product launches, joint ventures, and partnerships. Their objective is to fortify their market standing and expand their customer base, capturing a significant market share.
Notable companies in the global cognitive robotics market include IBM Corporation, ABB Ltd., CognitiveScale Inc., Kuka AG, Blue River Technology, Intel Corporation, Omron Adept Technologies, Nvidia Corporation, Hanson Robotics Limited, Microsoft Corporation, Rethink Robotics, Universal Robots, Vicarious Inc., Google LLC, CloudMinds Technology Inc., SoftBank Robotics, Boston Dynamics, Robotics Plus Ltd., Neura Robotics, and several other key players.
Global Cognitive Robotics Market Recent Developments
In July 2022, Premier Tech Systems & Automation has unveiled the RPL SERIES robotic palletizer solution, a cutting-edge device manufactured in India to cater to a wide range of palletizing requirements. The robotic cells exhibit exceptional efficiency, equipped with an in-house designed gripper capable of meeting diverse palletization needs in the current packaging systems. With a remarkable capacity to palletize up to 1,800 bags per hour and handle multi-pick-up setups, the company's robots deliver outstanding performance.
Scope of the Global Cognitive Robotics Market Report
Cognitive Robotics Market Report Segmentation
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ATTRIBUTE |
DETAILS |
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By Learning Type |
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By End-Use Industry |
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By Geography |
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Customization Scope |
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Pricing |
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Objectives of the Study
The objectives of the study are summarized in 5 stages. They are as mentioned below:
To identify and estimate the market size for the global cognitive robotics market segmented by learning type, by end-use industry, region, and by value (in U.S. dollars). Also, to understand the consumption/ demand created by consumers of cognitive robotics between 2019 and 2031.
To identify and infer the drivers, restraints, opportunities, and challenges for the global cognitive robotics market
To find out the factors which are affecting the sales of cognitive robotics among consumers
To identify and understand the various factors involved in the global cognitive robotics market affected by the pandemic
To provide a detailed insight into the major companies operating in the market. The profiling will include the financial health of the company's past 2-3 years with segmental and regional revenue breakup, product offering, recent developments, SWOT analysis, and key strategies.
Intended Audience
Research Methodology
Our research methodology has always been the key differentiating reason which sets us apart in comparison from the competing organizations in the industry. Our organization believes in consistency along with quality and establishing a new level with every new report we generate; our methods are acclaimed and the data/information inside the report is coveted. Our research methodology involves a combination of primary and secondary research methods. Data procurement is one of the most extensive stages in our research process. Our organization helps in assisting the clients to find the opportunities by examining the market across the globe coupled with providing economic statistics for each and every region. The reports generated and published are based on primary & secondary research. In secondary research, we gather data for global Market through white papers, case studies, blogs, reference customers, news, articles, press releases, white papers, and research studies. We also have our paid data applications which includes hoovers, Bloomberg business week, Avention, and others.
Data Collection
Data collection is the process of gathering, measuring, and analyzing accurate and relevant data from a variety of sources to analyze market and forecast trends. Raw market data is obtained on a broad front. Data is continuously extracted and filtered to ensure only validated and authenticated sources are considered. Data is mined from a varied host of sources including secondary and primary sources.
Primary Research
After the secondary research process, we initiate the primary research phase in which we interact with companies operating within the market space. We interact with related industries to understand the factors that can drive or hamper a market. Exhaustive primary interviews are conducted. Various sources from both the supply and demand sides are interviewed to obtain qualitative and quantitative information for a report which includes suppliers, product providers, domain experts, CEOs, vice presidents, marketing & sales directors, Type & innovation directors, and related key executives from various key companies to ensure a holistic and unbiased picture of the market.
Secondary Research
A secondary research process is conducted to identify and collect information useful for the extensive, technical, market-oriented, and comprehensive study of the market. Secondary sources include published market studies, competitive information, white papers, analyst reports, government agencies, industry and trade associations, media sources, chambers of commerce, newsletters, trade publications, magazines, Bloomberg BusinessWeek, Factiva, D&B, annual reports, company house documents, investor presentations, articles, journals, blogs, and SEC filings of companies, newspapers, and so on. We have assigned weights to these parameters and quantified their market impacts using the weighted average analysis to derive the expected market growth rate.
Top-Down Approach & Bottom-Up Approach
In the top – down approach, the Global Batteries for Solar Energy Storage Market was further divided into various segments on the basis of the percentage share of each segment. This approach helped in arriving at the market size of each segment globally. The segments market size was further broken down in the regional market size of each segment and sub-segments. The sub-segments were further broken down to country level market. The market size arrived using this approach was then crosschecked with the market size arrived by using bottom-up approach.
In the bottom-up approach, we arrived at the country market size by identifying the revenues and market shares of the key market players. The country market sizes then were added up to arrive at regional market size of the decorated apparel, which eventually added up to arrive at global market size.
This is one of the most reliable methods as the information is directly obtained from the key players in the market and is based on the primary interviews from the key opinion leaders associated with the firms considered in the research. Furthermore, the data obtained from the company sources and the primary respondents was validated through secondary sources including government publications and Bloomberg.
Market Analysis & size Estimation
Post the data mining stage, we gather our findings and analyze them, filtering out relevant insights. These are evaluated across research teams and industry experts. All this data is collected and evaluated by our analysts. The key players in the industry or markets are identified through extensive primary and secondary research. All percentage share splits, and breakdowns have been determined using secondary sources and verified through primary sources. The market size, in terms of value and volume, is determined through primary and secondary research processes, and forecasting models including the time series model, econometric model, judgmental forecasting model, the Delphi method, among Flywheel Energy Storage. Gathered information for market analysis, competitive landscape, growth trends, product development, and pricing trends is fed into the model and analyzed simultaneously.
Quality Checking & Final Review
The analysis done by the research team is further reviewed to check for the accuracy of the data provided to ensure the clients’ requirements. This approach provides essential checks and balances which facilitate the production of quality data. This Type of revision was done in two phases for the authenticity of the data and negligible errors in the report. After quality checking, the report is reviewed to look after the presentation, Type and to recheck if all the requirements of the clients were addressed.
