Artificial Intelligence
2020 Market Study on AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics to 2025
Dublin, Oct. 30, 2020 (GLOBE NEWSWIRE) — The “AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2020 – 2025” report has been added to ResearchAndMarkets.com’s offering.
This report evaluates leading market players across the AI chipsets ecosystem, technology strategies, and solution plans. This includes leveraging AI chipsets for support of various emerging and disintermediating technology areas such as edge computing, 5G, and blockchain systems. Additional areas addressed include AI support of emerging computing technologies including edge platforms and servers.
This report also assesses applications and service support scenarios for AI chipsets across almost all major industry verticals. The report provides forecasts for AI chipset hardware, embedded software, professional service, deployment platforms, and applications for every major industry vertical as well as regional and country forecasts for 2020 to 2025. The report also provides exclusive recommendations for stakeholders within the AI chipsets ecosystem.
The AI chipset marketplace is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others. With 83% of all chipsets globally shipping AI-equipped, over 57% of all electronics will have some form of embedded intelligence by 2025. This will also be transformational for existing critical business functions such as identity management, authentication, and cybersecurity.
Multi-processor AI chipsets learn from the environment, users, and machines to uncover hidden patterns among data, predict actionable insights and perform actions based on specific situations. AI chipsets will become an integral part of both AI software/systems as well as critical support of any data-intensive operation as they drastically improve processing for various functions as well as enhance overall computing performance. This will be a boon for many aspects of ICT ranging from decision support and data analytics to product safety and system optimization.
Consumers will realize benefits indirectly through improved product and service performance such as device and cloud-based gaming. Enterprise and industrial users will benefit through general improvements in automated decision-making, especially in the areas of robotic process automation, decision support systems, and overall data management. AI chipsets will be particularly useful for business edge equipment for real-time data analytics and store versus processing decisions.
Select Report Findings:
- More than 83% of global chipsets will be AI-equipped
- United States will generate over $14 billion USD by 2025
- Embedded AI in IoT “Things” is the fastest growing platform area
- IoT will represent over 76% of the entire AI chipsets market by 2025
- Combination of AI and IoT (AIoT) will drive significant chipset innovation
- Edge Computing, Blockchain, and Data Analytics will be near-term drivers
- Top 20 vendors comprise greater than 92% of the entire AI chipsets market
Key Topics Covered:
1. Executive Summary
2. Research Overview
2.1 Research Objectives
2.2 Select Findings
3. AI Chipsets Introduction
3.1 AI Chipsets
3.1.1 Chipset Components
3.1.2 General Purpose Applications
3.2 AI Systems
3.3 Market Dynamics Analysis
3.4 AI Investments
3.5 Competitive Market
4. Technologies, Solutions, and Markets
4.1 Chipsets Technology and Products
4.2 AI Technology
4.2.1 Machine Learning
4.2.2 Machine Learning APIs
4.2.3 Deep Machine Learning
4.2.4 Natural Language Processing
4.2.5 Computer Vision
4.2.6 Voice Recognition
4.2.7 Context Awareness Computing
4.2.8 Neural Networks
4.2.9 Facial Recognition
4.3 Deployment Platform
4.4 IoT Sector
4.5 Applications in Industry Verticals
4.6 Regional Markets
4.7 Value Chain
4.8 5G Network and Edge Computing
4.9 Cloud Computing and Data Analytics
4.10 Industry 4.0 and Factory Automation
4.11 Autonomous Networks
4.12 Blockchain Networks
4.13 Quantum Computing
4.14 Machine Intelligence
4.15 Nanoscale Technology
4.16 Mobile Network Operators
5. Company Analysis
5.1 NVIDIA Corporation
5.2 IBM Corporation
5.3 Intel Corporation
5.4 Samsung Electronics Co Ltd.
5.5 Microsoft Corporation
5.6 Baidu Inc.
5.7 Qualcomm Incorporated
5.8 Huawei Technologies Co. Ltd.
5.9 Fujitsu Ltd.
5.10 Softbank Group Corp. (ARM Limited)
5.11 Apple Inc.
5.12 Amazon Inc. (AWS)
5.13 SK Telecom
5.14 Inbenta Technologies Inc.
5.15 Microchip Technology Inc.
5.16 Texas Instruments Inc.
5.17 Advanced Micro Devices (AMD) Inc.
5.18 XILINX Inc.
5.19 Micron Technology
5.20 AIBrain Inc.
5.21 General Vision Inc.
5.22 Sentient Technologies Holdings Limited
5.23 Graphcore
5.24 Analog Devices Inc.
5.25 Cypress Semiconductor Corp
5.26 Rohm Semiconductor
5.27 Semtech Corporation
5.28 NXP Semiconductors N.V.
5.29 STMicroelectronics
5.30 MediaTek Inc.
5.31 Renesas Electronics Corporation
5.32 ZTE Corporation
5.33 NEC Corporation
5.34 Broadcom Corporation
5.35 Integrated Device Technology (IDT) Inc.
5.36 Toshiba Corporation
5.37 Adapteva Inc.
5.38 Applied Materials Inc.
5.39 Bitmain Technologies Inc.
5.40 Cambricon Technologies Corporation Limited
5.41 DeePhi Tech
5.42 Gyrfalcon Technology Inc.
5.43 Horizon Robotics
5.44 Mythic
5.45 Tenstorrent Inc.
5.46 Wave Computing
5.47 Mellanox Technologies
5.48 Koniku
5.49 Numenta Inc.
5.50 Imagination Technologies Limited
5.51 Synopsys Inc.
5.52 SenseTime
5.53 Marvell Technology Group Ltd.
5.54 Cadence Design Systems Inc.
5.55 Rockchip
5.56 VeriSilicon Limited
5.57 Knuedge Inc.
5.58 KRTKL Inc.
5.59 Shanghai Think-Force Electronic Technology Co. Ltd.
5.60 SK Hynix Inc.
5.61 Taiwan Semiconductor Manufacturing Company Limited (TSMC)
5.62 Alphabet (Google)
5.63 Thinci
5.64 LG Corporation
5.65 SambaNova Systems
5.66 Groq
5.67 Kalray
5.68 Facebook
5.69 Almotive
5.70 AnotherBrain
5.71 BrainChip Holdings
5.72 Cerebras Systems
5.73 Chipintelli
5.74 Tesla (DeepScale)
5.75 Kneron
5.76 NovuMind
5.77 ThinkForce
5.78 Vathys
5.79 Nervana Systems
5.80 Barefoot Networks
5.81 Alibaba Group
5.82 Megvii
5.83 HPE
5.84 Dell Inc. (Dell EMC)
5.85 Western Digital
5.86 Habana
5.87 Nokia
6. AI Chipsets Market Analysis and Forecasts 2020 – 2025
6.1 Global AI Chipsets Market 2020 – 2025
6.1.1 Total Global Market Size 2020 – 2025
6.1.2 Market by Segment 2020 – 2025
6.1.3 Market by Deployment Platform 2020 – 2025
6.1.4 Market by Application 2020 – 2025
6.1.5 Market by Industry Vertical 2020 – 2025
6.1.6 Market by AI in Consumer, Enterprise, Industrial and Government 2020 – 2025
6.1.7 Market in 5G Networks 2020 – 2025
6.1.8 Market in Edge Computing Networks 2020 – 2025
6.1.9 Market in Cloud Computing 2020 – 2025
6.1.10 Market in Quantum Computing 2020 – 2025
6.1.11 Market in Big Data Analytics 2020 – 2025
6.1.12 Market in IoT 2020 – 2025
6.1.13 Market in Blockchain Networks 2020 – 2025
6.2 Regional AI Chipsets Market 2020 – 2025
6.2.1 Market by Region 2020 – 2025
6.2.1.1 North America Market 2020 – 2025
6.2.1.2 Europe Market 2020 – 2025
6.2.1.3 Asia Pacific Market 2020 – 2025
6.2.1.4 Middle East and Africa Market 2020 – 2025
6.2.1.5 Latin America Market 2020 – 2025
6.3 AI Chipsets Deployment Forecast 2020 – 2025
6.3.1 Total Global Deployment 2020 – 2025
6.3.2 Deployment by Segment 2020 – 2025
6.3.2.1 Deployment by Product 2020 – 2025
6.3.2.2 Deployment by Technology 2020 – 2025
6.3.2.3 Deployment by Processor Type 2020 – 2025
6.3.3 Deployment by Platform 2020 – 2025
6.3.3.1 Deployment by IoT Device 2020 – 2025
6.3.3.1.1 Deployment by Wearable Device 2020 – 2025
6.3.3.1.2 Deployment by Healthcare Device 2020 – 2025
6.3.3.1.3 Deployment by Smart Appliances 2020 – 2025
6.3.3.1.4 Deployment by Industrial Machines 2020 – 2025
6.3.3.1.5 Deployment by Entertainment Device 2020 – 2025
6.3.3.1.6 Deployment by Security Device 2020 – 2025
6.3.3.1.7 Deployment by Network Device 2020 – 2025
6.3.3.1.8 Deployment by Connected Vehicle Device 2020 – 2025
6.3.3.1.9 Deployment by Smart Grid Device 2020 – 2025
6.3.3.1.10 Deployment by Military Device 2020 – 2025
6.3.3.1.11 Deployment by Energy Management Device 2020 – 2025
6.3.3.1.12 Deployment by Agriculture Specific Device 2020 – 2025
6.3.3.2 Deployment by Non-IoT Device 2020 – 2025
6.3.3.3 Deployment by IoT “Things” 2020 – 2025
6.3.4 Deployment by AI Technology 2020 – 2025
6.3.4.1 Deployment by AI Technology Type 2020 – 2025
6.3.4.2 Deployment by Machine Learning Technology 2020 – 2025
6.3.5 Deployment by Application 2020 – 2025
6.3.6 Deployment by Industry Vertical 2020 – 2025
6.3.7 Deployment by Price Range 2020 – 2025
6.3.8 Deployment by Region 2020 – 2025
6.3.8.1 North America Deployment by Country 2020 – 2025
6.3.8.2 Europe Deployment by Country 2020 – 2025
6.3.8.3 Asia Pacific Deployment by Country 2020 – 2025
6.3.8.4 Middle East and Africa Deployment by Country 2020 – 2025
6.3.8.5 Latin America Deployment by Country 2020 – 2025
7. Conclusions and Recommendations
7.1 Advertisers and Media Companies
7.2 Artificial Intelligence Providers
7.3 Automotive Companies
7.4 Broadband Infrastructure Providers
7.5 Communication Service Providers
7.6 Computing Companies
7.7 Data Analytics Providers
7.8 Immersive Technology (AR, VR, and MR) Providers
7.9 Networking Equipment Providers
7.10 Networking Security Providers
7.11 Semiconductor Companies
7.12 IoT Suppliers and Service Providers
7.13 Software Providers
7.14 Smart City System Integrators
7.15 Automation System Providers
7.16 Social Media Companies
7.17 Workplace Solution Providers
7.18 Large Businesses, SMBs, and Governments
7.19 Future Market Direction
Companies Mentioned
- Adapteva Inc.
- Advanced Micro Devices Inc.
- AIBrain Inc.
- Alibaba Group
- Almotive
- Alphabet (Google)
- Amazon Inc.
- Analog Devices Inc.
- AnotherBrain
- Apple Inc.
- Applied Materials Inc.
- Baidu Inc.
- Barefoot Networks
- Bitmain Technologies Inc.
- BrainChip Holdings
- Broadcom Corporation
- Cadence Design Systems Inc.
- Cambricon Technologies Corporation Limited
- Cerebras Systems
- Chipintelli
- Cypress Semiconductor Corp
- DeePhi Tech
- Dell EMC
- Fujitsu Ltd.
- General Vision Inc.
- Graphcore
- Groq
- Gyrfalcon Technology Inc.
- Habana
- Horizon Robotics
- HPE
- Huawei Technologies Co. Ltd.
- IBM Corporation
- Imagination Technologies Limited
- Inbenta Technologies Inc.
- Integrated Device Technology Inc.
- Intel Corporation
- Kalray
- Kneron
- Knuedge Inc.
- Koniku
- KRTKL Inc.
- LG Corporation
- Marvell Technology Group Ltd.
- MediaTek Inc.
- Megvii
- Mellanox Technologies
- Microchip Technology Inc.
- Micron Technology
- Microsoft Corporation
- Mythic
- NEC Corporation
- Nervana Systems
- Nokia
- NovuMind
- Numenta Inc.
- NVIDIA Corporation
- NXP Semiconductors N.V.
- Qualcomm Incorporated
- Renesas Electronics Corporation
- Rockchip
- Rohm Semiconductor
- SambaNova Systems
- Samsung Electronics Co Ltd.
- Semtech Corporation
- SenseTime
- Sentient Technologies Holdings Limited
- Shanghai Think-Force Electronic Technology Co. Ltd.
- SK Hynix Inc.
- SK Telecom
- Softbank Group Corp. (ARM Limited)
- STMicroelectronics
- Synopsys Inc.
- Taiwan Semiconductor Manufacturing Company Limited (TSMC)
- Tenstorrent Inc.
- Tesla (DeepScale)
- Texas Instruments Inc.
- Thinci
- ThinkForce
- Toshiba Corporation
- Vathys
- VeriSilicon Limited
- Wave Computing
- Western Digital
- XILINX Inc.
- ZTE Corporation
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Artificial Intelligence
Free Your Hands, QIDI Vida Smart AR Glasses Lead the Way in New Sports Experience.
NEW YORK, April 19, 2024 /PRNewswire/ — Outdoor smart AR glasses, QIDI Vida, will officially launch on 23rd April on the Kickstarter platform. QIDI Vida integrates the many functions of smart watches, sports headphones, cycling computers, heart rate monitors, and walkie-talkies using AR+AI technology, allowing users to bid farewell to cumbersome device management and enjoy outdoor sports anytime, anywhere with just one pair of glasses.
Function:
QIDI Vida uses high-tech HUD (Head-Up Display) which is similar to the technology used for aircrafts and premium cars and introduces it to the sports industry. Users can activate the HUD function at any time using voice control, enabling them to focus on the route ahead whilst simultaneously having access to information such as navigation, speed, heart rate, power and cadence, among other metrics. Another great function of the QIDI Vida is that users can also enjoy audiovisual entertainment through the optically perceived 100-inch AR HUD screen, when having some down time.
As cyclists and hikers often travel in groups, QIDI Vida supports eSIM and team functionality, allowing real-time voice communication without releasing handlebars, and users can monitor their groups’ real-time locations. The glasses also have comprehensive sensing and monitoring capabilities including temperature, humidity, UV, air pressure, geomagnetism and acceleration. In addition to obtaining environmental and health information, it also features health warnings such as altitude sickness symptoms and high heart rate, as well as fall and collision detection functions. And, in the event of danger, it can send distress signals to teammates.
Perks:
QIDI Vida has a global voice recognition and interaction feature that allows you to control all functions within the device by voice. To better provide users with an immersive sports experience, QIDI Vida’s intelligent system will have the capability to instantly gather personalised sports data, enabling it to deliver timely voice alerts and broadcasts, including the duration of exercise, distance, the environment and the weather – all tailored to the user’s preferences.
QIDI Vida enables voice-controlled photos and video recordings, allowing users to capture moments whilst cycling or hiking without the need to stop. QIDI Vida supports connections with common cycling smart hardware such as Garmin, Wahoo, Apple, and Samsung, supports GPX route files, and is compatible with professional sports apps such as Strava, Keep, Zwift, Apple Health, and All Trails.
QIDI Vida stands out for its lightweight and comfortable design with a dual lens for a full-colour data display, unlike competing AR glasses that typically have a single lens and limited colour. This innovation significantly enhances and augments the user’s sports and reality experience.
QIDI Vida will launch on the Kickstarter platform: https://www.kickstarter.com/projects/109560964/qidi-vida-smart-ar-glasses-for-sports
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Artificial Intelligence
Risk Analytics Market worth $180.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, April 19, 2024 /PRNewswire/ — The growing use of real-time monitoring and advanced analytics, integration with cutting-edge technologies like blockchain and IoT, and an emphasis on cybersecurity, cross-industry applications, and regulatory compliance are the key factors that will shape the risk analytics market in the future. The market’s development will also be influenced by collaborative risk management, improved user experience, and an increasing focus on ESG factors and risk culture.
The Risk Analytics Market is estimated to grow from USD 59.7 billion in 2024 to USD 180.9 billion in 2029, at a CAGR of 24.8% during the forecast period, according to a new report by MarketsandMarkets™. Several trends fuel the global spread of Risk Analytics. Increasingly Increasing Data Complexity, Rising Cybersecurity Threats and Rising Adoption of Cloud-Based Solutions A growing talent pool of data scientists and engineers is building the necessary tools and infrastructure. Governments are recognizing the potential of risk analytics for economic growth and are investing in research and development. These trends make DI more accessible and valuable, leading to its global adoption.
Browse in-depth TOC on “Risk Analytics Market”260 – Tables 60 – Figures350 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=210662258
Scope of the Report
Report Metrics
Details
Market size available for years
2019–2023
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering,Risk Type, Risk stages, Vertical, and Region.
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US)
By offering the services segment to account for higher CAGR during the forecast period
In the Risk Analytics Market, the highest CAGR of services is fueled by Increasing Complexity of Risks, AI and machine learning advancements, big data analytics integration, business process optimization, cloud-based solutions adoption, data-driven culture, and diverse industry adoption. These trends reflect a global shift towards leveraging data for competitive advantage, driving a continuous need for sophisticated risk analytics services across sectors. As businesses prioritize agility, the growth of services in the Risk Analytics Market is driven by the need for effective risk management strategies in an increasingly complex and uncertain business environment.
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By Type, GRC software is expected to hold the largest market size for the year 2024
GRC software typically offers comprehensive solutions that cover a wide range of risk management needs, including compliance management, policy management, audit management, and risk assessment. They also provide organizations with enhanced visibility into their risk landscape. Through features such as risk assessment, risk monitoring, and reporting, organizations can identify and prioritize risks more effectively, enabling proactive risk management strategies. GRC software streamlines risk management processes through automation, reducing manual effort and increasing efficiency. Tasks such as risk assessments, control testing, and incident management can be automated, freeing up resources to focus on strategic risk mitigation efforts. the combination of comprehensive functionality, regulatory compliance support, efficiency gains, scalability, integration capabilities, and culture enhancement makes GRC software a preferred choice for many organizations seeking to manage risk effectively.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The Healthcare and Lifesciences is experiencing a surge in the adoption of risk analytics due to a confluence of factors. Healthcare providers and life sciences companies wants to ensure the safety and well-being of patients. Risk analytics helps in identifying potential risks to patient safety, such as medication errors, adverse events, and medical device failures. The healthcare and life sciences industries are heavily regulated, with strict guidelines for patient care, data privacy, drug development, and clinical trials. Risk analytics helps organizations ensure compliance with these regulations by identifying and mitigating risks of non-compliance. Healthcare organizations and life sciences companies also face financial risks associated with fraud, billing errors, revenue cycle management, and reimbursement challenges. Risk analytics helps in detecting anomalies and optimizing financial processes to mitigate these risks.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia-Pacific (APAC) region is experiencing rapid growth in the Risk Analytics Market, boasting the highest Compound Annual Growth Rate (CAGR). This surge is primarily attributed to rising demand for data-driven decision-making solutions, expanding digital transformation initiatives across industries.. Moreover, the region’s favorable regulatory environment, growing investments in big data analytics, and the integration of advanced technologies like the Internet of Things (IoT) further propel APAC’s dominance in Risk Analytics Market growth.
Top Key Companies in Risk Analytics Market:
The major risk analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Risk Analytics Market.
Recent Developments:
In March 2024, Orcale announced Oracle Risk Management Cloud in Release 24B. It offers comprehensive solution designed to help organizations identify, assess, and mitigate risks across their business operations. It offers advanced analytics, automation, and collaboration tools to streamline risk management.In March 2024, FIS Global announces card fraud detection capabilities leveraging artificial intelligence (AI) with aim to bolster FIS’s ability to identify and prevent fraudulent transactions, providing greater security for cardholders and financial institutions alike.In March 2024, Aon acquired an AI-powered platform to assist fleet and mobility clients in making data-driven decisions, enhancing operational efficiency and risk management. The platform utilizes artificial intelligence to analyze data and provide insights, enabling clients to optimize their fleet operations and improve decision-making processes.In March 2024, Crisp joined Resolver, with the aim to enhance Resolver’s risk intelligence capabilities by integrating Crisp’s expertise and technology into its platform, offering clients improved risk assessment and mitigation tools.In February 2024, SAS partnered with Carahsoft to bring analytics, AI, and data management solutions to the public sector. The aim is to leverage SAS’s expertise in advanced analytics and Carahsoft’s extensive government market reach to offer tailored solutions that enable public sector organizations to harness the power of data for informed decision-making and improved outcomes.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=210662258
Risk Analytics Market Advantages:
By offering insights into potential risks, opportunities, and trends, risk analytics helps organisations make data-driven decisions that improve strategic planning and resource allocation.In order to improve risk management procedures and lessen exposure to possible threats, risk analytics solutions assist businesses in identifying, evaluating, and mitigating risks across a range of business activities, including finance, operations, and compliance.Through real-time monitoring and anomaly detection made possible by risk analytics, organisations may proactively address shifting market situations, legal requirements, and cybersecurity threats.Risk analytics solutions assist organisations lower operating costs, increase productivity, and streamline compliance activities, which results in cost savings and resource optimisation. They do this by streamlining risk management procedures and automating routine work.Accurate risk assessments, audit trails, and reporting capabilities are just a few of the ways that risk analytics solutions help organisations comply with regulations and stay out of trouble.Organisations can enhance their resilience and competitiveness by anticipating and mitigating potential hazards before they materialise through the use of predictive modelling and advanced analytics approaches in risk analytics.Report Objectives
To define, describe, and predict the Risk Analytics Market by offering, risk type, risk stages, vertical, and regionTo provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growthTo analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile the key players and comprehensively analyze their market rankings and core competenciesTo analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the Risk Analytics MarketBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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Artificial Intelligence
Robotic Palletizer Market worth $1.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, April 19, 2024 /PRNewswire/ — The robotic palletizer market is projected to grow from USD 1.4 billion in 2024 and is expected to reach USD 1.9 billion by 2029, growing at a CAGR of 5.9% from 2024 to 2029 according to a new report by MarketsandMarkets™. Rising awareness towards workplace safety and reducing the risk of work-related injuries to drive the market. Robotic palletizers significantly enhance workplace safety and reduce the risk of work-related injuries and associated costs. By automating repetitive tasks like palletizing, businesses can redeploy their human workforce to higher-value activities that require human skills like problem-solving, critical thinking, and customer interaction. This allows them to optimize their workforce and leverage human capabilities more effectively.
Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=251064253
Browse in-depth TOC on “Robotic Palletizer Market” 100 – Tables60 – Figures200 – Pages
Robotic Palletizer Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 1.4 billion
Estimated Value by 2029
$ 1.9 billion
Growth Rate
Poised to grow at a CAGR of 5.9%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By Component, Robot Type, Application, End-use Industry and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
High initial investment cost
Key Market Opportunities
Increasing application in small and medium-sized enterprises
Key Market Drivers
Growing labor shortage and need for workforce optimization
Collaborative robots in the robot type segment are expected to witness higher growth rate during the forecast period.
Collaborative robots are expected to witness a higher CAGR during the forecast period. Unlike traditional industrial robots that often require physical barriers or cages to protect human workers, cobots are equipped with advanced safety features, such as force and torque sensors, collision detection, and speed monitoring. These features enable cobots to operate safely in proximity to humans without posing significant risks of injury.
The Pharmaceutical segment in the robotic palletizer market is expected to witness highest growth rate during the forecast period.
Pharmaceutical products are subject to strict regulations regarding storage, handling, and quality control. Robotic palletizers play a crucial role in providing greater precision and consistency in palletizing tasks and minimizing the risk of contamination within pharmaceutical manufacturing facilities. It also reduces human intervention in the handling and stacking of products and helps mitigate the potential for cross-contamination and ensures adherence to strict hygiene standards.
End-of-Arm- Tooling (EOAT) component is expected to witness the highest CAGR in the robotic palletizer market during the forecast period.
End-of-arm tooling (EOAT) is a crucial element of a robotic arm system, especially in applications like robotic palletizing, where the robot needs to interact with various objects or products. EOAT essentially acts as the hand of the robotic arm, designed to securely grasp, lift, and place boxes or cases onto pallets. Overall, EOAT plays a vital role in the effectiveness of robotic palletizers as it ensures secure handling of products, efficient palletizing patterns, and smooth operation of the entire system.
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North America is expected to hold the largest share of the robotic palletizer industry during the forecast period.
North America is home to major automobile and retail companies, which has accelerated the demand for robotic palletizers in this region. Additionally, the rise in manufacturing activity, fueled by plans for reshoring and technological improvements, has further driven the need for robotic palletizers. In North America, certain government funds are available to increase workplace safety. In 2023, the Occupational Safety and Health Administration announced a grant of approximately USD 12.7 million to 100 non-profit organizations across the nation to provide education and training for workers and employers about recognizing workplace hazards, injury prevention, and understanding workers’ rights and employers’ responsibilities under federal law. Businesses that use robotic palletizers may be eligible for funding as they lower the risk of worker injuries from manual lifting.
Key Players
Leading players in the robotic palletizer companies include FANUC CORPORATION (Japan), KION GROUP AG (Germany), KUKA AG (Germany), ABB (Switzerland), and Krones AG (Germany). Schneider Packaging Equipment Company, Inc. (US), Honeywell International Inc. (US), Kaufman Engineered Systems (US), Concetti S.p.A. (Italy), Sidel (France), Brenton, LLC. (US), A-B-C Packaging Machine Corporation (US), Antenna Group (Italy), BEUMER GROUP (Germany), Brillopak (UK), BW Integrated Systems (US), Columbia Machine, Inc. (US), Euroimpianti S.p.A. (Italy), Fuji Yusoki Kogyo Co., Ltd. (Japan), HAVER & BOECKER OHG (Germany), KHS Group (Germany), MMCI (US), Okura Yusoki Co., Ltd. (Japan), Rothe Packtech Pvt. Ltd. (India), and S&R Robot Systems, LLC. (US) are few other key companies operating in the robotic palletizer market.
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