Artificial Intelligence
Worldwide Automotive LiDAR Industry to 2030 – Featuring GM, Trimble, Teledyne Optech and FARO Technologies Among Others
Dublin, Aug. 19, 2022 (GLOBE NEWSWIRE) — The “Automotive LiDAR Market Size, Market Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts, 2022 to 2030” report has been added to ResearchAndMarkets.com’s offering.
The automotive LiDAR market is anticipated to grow at a compound annual growth rate (CAGR) of 23% during the forecast period of 2022 to 2030.
Increasing investments in LiDAR start-ups by automotive giants, is opening opportunities for technological shifts with the adoption of solid-state LiDARs. These opportunities are anticipated to boost the market growth. The technological capabilities of LiDARs and dropping cost have significantly expanded its application. Autonomous vehicles that are the future of automotive industry hold significant potential for use of LiDAR.
LiDAR Advantageous Over Camera Based Systems
In comparison to systems based on cameras, LiDAR has a number of distinct advantages. LiDAR gives a three-dimensional perspective of the world that is significantly more realistic and accurate than the view that is provided by cameras, which only provide a flat depiction of the environment in a two-dimensional form.
Additionally, because it generates its own light, LiDAR is unaffected by low-light conditions and may continue to function normally. It has excellent night vision and can see objects just as well as it can during the day. On the other hand, camera-based systems require an adequate amount of light in order to perform at their peak, and thus are not always reliable when used at night.
Optical illusions and the inability to produce accurate distance measurements are two additional variables that can hinder the capacity of a camera to see. Additionally, in comparison to a LiDAR sensor, a camera requires more computer power and, as a rule, operates at a higher temperature. When it comes down to it, an ADAS system or an autonomous vehicle will benefit the most from using LiDAR and camera-based systems in conjunction with one another to monitor the environment around the vehicle.
Expanding Applications in Automotive Segment
Additionally, LiDAR is able to succeed where other sensors fail to do so. For instance, radar can be used to identify items that are in close proximity to a vehicle, and it can also ascertain how far away these objects are and how quickly they are travelling. Because of this, automobile manufacturers use radar for parking sensors, blind spot monitors, and adaptive cruise control.
However, these sensors struggle when it comes to detecting the exact position, size, and shape of an object, elements that are essential for self-driving features such as pedestrian, cyclist, and animal detection. Radar, on the other hand, performs admirably in conditions of fog and other adverse weather, but LiDAR has difficulty in these environments.
Reducing Prices is The Key Motivator of Increasing LiDAR Applications
The price of a LiDAR sensor used to be around $ 50,000 to $75,000; plummeted to $10, 000 and lower. Going further LiDAR prices are expected to drop as low as $500 by the end of 2030. Some companies have already developed low priced LiDAR vehicle sensors ranging from $500 to $1000.
Despite the fact that costs have been a factor in keeping sensors off of current vehicles, LiDAR companies like Argo AI are partnering with manufacturers like Ford and Volkswagen to produce some commercial-grade self-driving vehicles that incorporate onboard LiDAR. Volkswagen intends to conduct self-driving van tests in Germany, utilising the LiDAR technology developed by Argo AI. The company’s ultimate goal is to introduce a commercial delivery and micro-transit service in Germany by the year 2025. Ford has partnered with Volkswagen to develop electric vans and technologies for driverless vehicles.
Application of LiDAR to all Ranges of Vehicles is Still Emerging
Although there have been developments that suggest the technology could be used in the trucking industry, it is likely that for the time being it will be used for fleets of robo-taxis or delivery vehicles. However, there have been developments that suggest the technology could be used in the trucking industry.
Limited Technical Capabilities Calls for Focused R&D Initiatives
Sensors can have trouble distinguishing between things that are comparable in size and shape, which means that threats and non-threats can be mistaken with one another. This can lead to serious consequences. The level of security provided by LiDAR is lower when compared to the level of security provided by genuine images captured by a camera. Artificial Intelligence (AI) and machine learning are not inherently present in LiDAR. The resilience of radar systems in adverse weather conditions including rain, fog, and snow is one of the systems’ most significant advantages. Under these kinds of atmospheric circumstances, LIDAR typically operates at a lower level of effectiveness in comparison to radars.
Laser Scanners Market to Emerge as Most Lucrative Opportunity Segment
In 2021, laser scanners accounted for the largest part of the market. It is anticipated that the laser scanners segment will continue to retain the dominant position during the forecast period of 2022 to 2030. The widespread use of laser scanners that are capable of transmitting and detecting information by making use of laser pulses is the primary cause that is contributing to this expansion.
4D LiDAR Sensors to Grow at the Fastest Pace
It is anticipated that advancements in 4D LiDAR technology would account for the largest growth rate during the projection period. It is anticipated that the market for 4D LiDAR would expand at the highest CAGR during the forecast period of 2022 to 2030. This expansion can be ascribed to the widespread use of 4D LiDAR in a variety of applications in including self-driving vehicles, and other types of autonomous systems.
Mechanical LiDAR Sector to Dominate Market Revenues
It is anticipated that the segment of the mechanical LiDAR market that held the bigger market share in 2021 and will continue to hold that position throughout the forecast period. This is due to the widespread use of mechanical LiDAR in a variety of applications in mapping.
A large field of view (FOV) that is typically 360 degrees can be achieved with mechanical LIDAR by utilising high-grade optics and a rotating assembly. The mechanical component results in a bulky implementation, but it offers a high signal-to-noise ratio (SNR) over a large field of view (FOV) (although this has also been shrinking). Since solid-state LIDAR does not have any spinning mechanical components and has a smaller FOV, it is more cost effective. An FOV that is comparable to that of mechanical LIDAR can be achieved by using numerous channels at the front, back, and sides of a vehicle and fusing the data from those channels.
ADAS Segment to Dominate as AV Sets off in Future
Businesses, who have much smaller volumes of automobiles (less than 5 million per year as opposed to the more than 100 million cars sold each year to individuals), are the target markets for fully autonomous vehicles. Automotive Original Equipment Manufacturers (OEMs) were ill-prepared to compete in the market for complete autonomy and saw the potential to add limited autonomy capabilities to their cars that can offer comfort, free time, and safety to a bigger client base. Because of this, many LiDAR businesses have shifted their focus to addressing L2 and L3 autonomy.
Companies like Valeo (Mercedes), Innoviz (BMW), Luminar (Volvo), Cepton (General Motors), Ibeo (Great Wall Motors), and Innovusion have recently made announcements on their products (Nio). There has also been a solidification of partnerships with automotive Tier 1 suppliers (Aeye-Continental, Baraja-Veoneer, Cepton-Koito, Innoviz-Magna). Key Companies in this segment include The LiDAR market was dominated by Leica Geosystems AG (Sweden), Trimble, Inc. (US), Teledyne Optech (Canada), FARO Technologies, Inc. (US) and RIEGL Laser Measurement Systems GmbH (Austria).
North America Remains as the Global Leader
The overall market for LiDAR was led by North America as of the year 2021, followed by Europe and the Asia Pacific region in that order. The region accounted for more than 37% of the total revenue generated by the worldwide LiDAR market in 2021 and is predicted to experience robust expansion growth during the forecast period. The ongoing research and expenditures that are being made in order to build sophisticated LiDAR systems have been critical in pushing the uptake of LiDAR systems in North America. On the other side, it is projected that Asia Pacific will record the most growth during the period of time spanning from 2022 to 2030. It is anticipated that demand from nations such as India and China would play a significant role in expanding the LiDAR market.
Key questions answered in this report
- What are the key micro and macro environmental factors that are impacting the growth of Automotive LiDAR market?
- What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
- Estimated forecast and market projections up to 2030.
- Which segment accounts for the fastest CAGR during the forecast period?
- Which market segment holds a larger market share and why?
- Are low and middle-income economies investing in the Automotive LiDAR market?
- Which is the largest regional market for Automotive LiDAR market?
- What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East & Africa?
- Which are the key trends driving Automotive LiDAR market growth?
- Who are the key competitors and what are their key strategies to enhance their market presence in the Automotive LiDAR market worldwide?
Key Topics Covered:
1. Preface
2. Executive Summary
3. Automotive LiDAR Market: Business Outlook & Market Dynamics
3.1. Introduction
3.2. Global Automotive LiDAR Market Value, 2020 – 2030, (US$ Million)
3.3. Key Trends Analysis
3.4. Market Dynamics
3.4.1. Market Drivers
3.4.2. Market Restraints
3.4.3. Key Challenges
3.4.4. Key Opportunities
3.5. Impact Analysis of Drivers and Restraints
3.6. See-Saw Analysis
3.7. Attractive Investment Proposition
3.8. Porter’s Five Force Model
3.8.1. Supplier Power
3.8.2. Buyer Power
3.8.3. Threat Of Substitutes
3.8.4. Threat Of New Entrants
3.8.5. Competitive Rivalry
3.9. PESTEL Analysis
3.9.1. Political Landscape
3.9.2. Economic Landscape
3.9.3. Technology Landscape
3.9.4. Legal Landscape
3.9.5. Social Landscape
3.10. Competitive Landscape
3.10.1. Market Positioning of Key Automotive LiDAR Market Vendors
3.10.2. Strategies Adopted by Automotive LiDAR Market Vendors
4. Automotive LiDAR Market: By Technology, 2020-2030, USD (Million)
4.1. Market Overview
4.2. Growth & Revenue Analysis: 2021 Versus 2030
4.3. Market Segmentation
4.3.1. 2D
4.3.2. 3D
4.3.3. 4D
5. Automotive LiDAR Market: By Component, 2020-2030, USD (Million)
5.1. Market Overview
5.2. Growth & Revenue Analysis: 2021 Versus 2030
5.3. Market Segmentation
5.3.1. Laser Scanner
5.3.2. Navigation and positioning systems
5.3.3. Others
6. Automotive LiDAR Market: By Type, 2020-2030, USD (Million)
6.1. Market Overview
6.2. Growth & Revenue Analysis: 2021 Versus 2030
6.3. Market Segmentation
6.3.1. Solid-state
6.3.2. Mechanical
7. Automotive LiDAR Market: By Installation Type, 2020-2030, USD (Million)
7.1. Market Overview
7.2. Growth & Revenue Analysis: 2021 Versus 2030
7.3. Market Segmentation
7.3.1. Airborne
7.3.2. Ground-based
8. Automotive LiDAR Market: By Range, 2020-2030, USD (Million)
8.1. Market Overview
8.2. Growth & Revenue Analysis: 2021 Versus 2030
8.3. Market Segmentation
8.3.1. Short
8.3.2. Medium
8.3.3. Long
9. Automotive LiDAR Market: By Level of Automation, 2020-2030, USD (Million)
9.1. Market Overview
9.2. Growth & Revenue Analysis: 2021 Versus 2030
9.3. Market Segmentation
9.3.1. Advanced Driver Assistance Systems (ADAS)
9.3.1.1. Level 1 (Driver Assistance)
9.3.1.2. Level 2 (Partial Automation)
9.3.1.3. Level 2+ (Advanced Partial Automation)
9.3.1.4. Level 3 (Conditional Automation)
9.3.2. Autonomous Vehicles (AV)
9.3.2.1. Level 4 (High Automation)
9.3.2.2. Level 5 (Full Automation)
10. Automotive LiDAR Market: By Automotive Type, 2020-2030, USD (Million)
10.1. Market Overview
10.2. Growth & Revenue Analysis: 2021 Versus 2030
10.3. Market Segmentation
10.3.1. Passenger Vehicles
10.3.2. Sport Utility Vehicles
10.3.3. Multi Utility Vehicles
10.3.4. Commercial Taxis and others
10.3.5. Trucks
10.3.6. Agricultural Vehicles
10.3.7. Buses
10.3.8. Others
11. North America Automotive LiDAR Market, 2020-2030, USD (Million)
12. UK and European Union Automotive LiDAR Market, 2020-2030, USD (Million)
13. Asia Automotive LiDAR Market, 2020-2030, USD (Million)
14. Latin America Automotive LiDAR Market, 2020-2030, USD (Million)
15. Middle East and Africa Automotive LiDAR Market, 2020-2030, USD (Million)
16. Company Profiles
16.1. Mercedes
16.1.1. Company Overview
16.1.2. Financial Performance
16.1.3. Product Portfolio
16.1.4. Strategic Initiatives
16.2. BMW
16.2.1. Company Overview
16.2.2. Financial Performance
16.2.3. Product Portfolio
16.2.4. Strategic Initiatives
16.3. Volvo
16.3.1. Company Overview
16.3.2. Financial Performance
16.3.3. Product Portfolio
16.3.4. Strategic Initiatives
16.4. GM
16.4.1. Company Overview
16.4.2. Financial Performance
16.4.3. Product Portfolio
16.4.4. Strategic Initiatives
16.5. Leica Geosystems AG (Sweden)
16.5.1. Company Overview
16.5.2. Financial Performance
16.5.3. Product Portfolio
16.5.4. Strategic Initiatives
16.6. Trimble, Inc. (US)
16.6.1. Company Overview
16.6.2. Financial Performance
16.6.3. Product Portfolio
16.6.4. Strategic Initiatives
16.7. Teledyne Optech (Canada)
16.7.1. Company Overview
16.7.2. Financial Performance
16.7.3. Product Portfolio
16.7.4. Strategic Initiatives
16.8. FARO Technologies, Inc
16.8.1. Company Overview
16.8.2. Financial Performance
16.8.3. Product Portfolio
16.8.4. Strategic Initiatives
16.9. RIEGL Laser Measurement Systems GmbH
16.9.1. Company Overview
16.9.2. Financial Performance
16.9.3. Product Portfolio
16.9.4. Strategic Initiatives
For more information about this report visit https://www.researchandmarkets.com/r/7zmv0o
Artificial Intelligence
Overseas Expansion Strategy of K-OTT Introduced in France, KOCCA holds the ‘2024 Korea-France Content Forum’
– The ‘Korea-France Content Forum’ held to establish the Foundation for K-OTT’s oversea expansion
PARIS, May 24, 2024 /PRNewswire/ — The Ministry of Culture, Sports and Tourism (Minister Yu In-chon) and the Korea Creative Content Agency (President, Jo Hyun-rae, hereafter KOCCA) held the ‘2024 Korea-France Content Forum’ on May 24th during the Korea Expo in Paris, France.
The ‘2024 Korea-France Content Forum’ featured a keynote session (K-OTT’s Strategies in Global market) presenting K-OTT’s strategies for international expansion and a roundtable session (Strategies in the Era of Streaming) discussing the growth of OTT platforms and collaborative approaches with production companies.
The forum featured participation from various industry leaders including Kun hee Park (CEO, Wavve Americas), Sangjin Lee (Head of content IP Business, LG U+), Seung ae Sohn (Executive Director, Showbox), Ji ae Sohn (Ambassador for Cultural Cooperation), Moonju Kim (General Director, France Business Center, KOCCA), Isabelle Degeorges (President, Gaumont Television France) which produced the French Netflix original series, participated.
Strategy announcement by Wavve Americas (KOCAWA), the first K-OTT’s launched in Europe
During the Keynote Session, Park Kun Hee – CEO of Wavve Americas, the first domestic OTT Platform to launch services in Europe, Took the stage to discuss the international expansion strategy of KOCOWA, which started offering services in 39 countries including Europe since April of this year. Following this, Lee Sangjin, Head of Content IP Business of LG U+, presented the expansion strategy of LG U+ Mobile TV, encompassing diverse original content.
During the round-table session, participants shared thoughts and solutions regarding the survival strategies of local OTT platforms and production companies amidst the rapid waves of change brought about by the emergence of global OTT platforms.
In particular, through this forum, we were able to observe the proactive implementation of IP protection policies by local production companies in France, aimed at sustainable content creation. Isabelle Degeorges, CEO of Gaumont Television France, noted, “With the introduction of the European Audiovisual Media Services Directive (AVMSD), platforms and production companies can share IPs three years after supplying the content.” Kim Moon-joo, Director of the Korea Creative Content Agency’s France Business Center, participated as a panelist, introducing policies aimed at enhancing the competitiveness of K-OTT and fostering collaboration with production companies.
Park Kun Hee, CEO of Wavve Americas, who participated in the event, stated, “It was a meaningful opportunity to introduce our platform locally in Europe in line with KOCOWA’s expansion into the region”. Additionally, Kyoungbon Koo, Director Broadcasting & Video Content Division at KOCCA commented, “It was a meaningful occasion to not only introduce K-OTT’s strategies to Europe but also to exchange ideas on collaboration between Korea and France. We will continue to focus on activating various forms of collaboration with major international partners in the future”.
KOCCA supports the overseas expansion of excellent domestic OTT content and platforms through the newly established Local OTT Specialized Support Program this year. This initiative aims to enhance the competitiveness of domestic OTT platforms and content by adapting to the changing industrial environment.
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Artificial Intelligence
IoT Node and Gateway Market worth $604.7 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, May 24, 2024 /PRNewswire/ — The IoT Node and Gateway market is projected to grow from USD 424.6 billion in 2024 and is estimated to reach USD 604.7 billion by 2029; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 7.3% from 2024 to 2029 according to a new report by MarketsandMarkets™. The growth of the IoT Node and Gateway market is driven by the Provision of increased IP address space through IPv6, Emergence of 5G technology, and Increasing need for data centers.
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Browse in-depth TOC on “IoT Node and Gateway Market”
410 – Tables70 – Figures390 – Pages
IoT Node and Gateway Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 424.6 billion
Estimated Value by 2029
$ 604.7 billion
Growth Rate
Poised to grow at a CAGR of 7.3%
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 Hardware, End-use Application and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Requirement for wireless spectrum and licensed spectrum
Key Market Opportunities
Accelerated IoT adoption in healthcare sector
Key Market Drivers
Rising use of wireless smart sensors and networks
By Hardware, the Logic Devices are projected to grow at a high CAGR of IoT Node and Gateway market during the forecast period.
Logic devices can adapt to changing requirements even after deployment. As new features or functionalities are needed, the logic within the device can be reprogrammed to accommodate these changes, extending the useful life of the product and reducing the need for hardware revisions. The integration of FPGA technology into IoT devices further enhances these advantages. The integration of FPGAs into IoT nodes and gateways empowers manufacturers to develop highly optimized, customizable, and scalable solutions that meet the diverse needs of IoT applications. Tesla’s Full Self-Driving (FSD) computer utilizes FPGAs to handle complex neural network computations for autonomous driving algorithms. This allows them to potentially improve their FSD capabilities through software updates that reconfigure the logic within the FPGAs.
BFSI segment in IoT Node and Gateway Market is projected to grow at a highest CAGR during the forecast period.
BFSI sector can use IoT technology to provide more convenient solutions for customers. IoT can be used to perform data collection in real time and for instant communication between devices. For instance, it can facilitate cashless payments using an RFID scanner to identify products in the shopping cart and mobile wallet. The adoption of mobile point of sale (mPOS) systems and kiosks is fundamentally reshaping the landscape of the BFSI market. mPOS facilitates transactions anytime, anywhere, benefiting unbanked populations and enabling temporary service points for events. Kiosks offer convenient banking functionalities, reducing wait times and freeing up staff for complex inquiries. These technologies drive cost savings by requiring less investment and automating routine tasks, allowing resources to be reallocated strategically. They provide rich data for personalized services, fraud detection, and operational optimization. mPOS systems and kiosks promote financial inclusion by extending services to remote areas, fostering economic activity and well-being.
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North America accounts for the largest share in IoT Node and Gateway Industry.
The North American IoT market is poised to grow, driven by government efforts to transition cities into smart urban centers. The growing need for sophisticated IoT solutions, fueled by the widespread availability of high-speed data, will further propel market expansion in this region. Furthermore, North America’s dynamic IoT node and gateway ecosystem features established players like Intel Corporation (US), Texas Instruments Incorporated (US), Dell (US), and Cisco Systems (US), driving competition, innovation, and affordability. Increasing research and development at industry levels is broadening the application areas of IoT in various industries, such as retail, consumer electronics, automotive and transportation, and healthcare, especially in the US. The increased demand for effective solutions and focus on early, accurate, and fast diagnosis of diseases has led to huge investments in technological developments in the healthcare sector.
Key Players
Key companies operating in the IoT Node and Gateway companies are Intel Corporation (US), Qualcomm Technologies, Inc. (US), Texas Instruments Incorporated (US), STMicroelectronics (Switzerland), Microchip Technology Inc. (US), Huawei Technologies Co., Ltd. (China), NXP Semiconductors N.V. (Netherlands), Cisco Systems, Inc. (US), Hewlett Packard Enterprise Development LP (US), TE Connectivity Ltd (Switzerland), Advantech Co., Ltd. (Taiwan), Dell Technologies (US), among others.
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IoT Technology Market by Node Component (Sensor, Memory Device, Connectivity IC, Processor, Logic Devices), Software Solution (Remote Monitoring, Data Management), Platform, Service, End-use Application, Geography – Global Forecast to 2029
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Artificial Intelligence
atNorth Wins ‘Colocation Provider of the Year’ and ‘Digital Infrastructure Project of the Year’ at Industry Award Events
AtNorth recognized at the Electrical Review & Data Centre Review Awards and the Tech Capital Awards.
REYKJAVÍK, Iceland, May 24, 2024 /PRNewswire/ — atNorth, the leading Nordic colocation, high-performance computing, and artificial intelligence service provider has today announced further acknowledgement in the industry as it wins two significant awards.
The business has been awarded the `Colocation Provider of the Year’ award at the Electrical Review & Data Centre Review Awards. atNorth has undertaken a significant expansion strategy in recent years, that has ensured that the business can offer high performance infrastructure at speed and scale. This award reflects the business’ growth journey as it continues to innovate and adapt to technological advancements and client requirements.
atNorth has also won the `Digital Infrastructure Project of the Year’ at the Tech Capital Awards for its work with client, Shearwater Geoservices. The global marine imaging and processing leader achieved a 92% reduction in CO2 output and an 85% reduction in cost by moving a portion of its UK HPC infrastructure to one of atNorth’s Icelandic data center sites.
Fueled by the abundant renewable power sources of the Nordics, atNorth`s services deliver performance and efficiency for high density workloads in a sustainable way that enables clients to decarbonize their IT footprint and reduce overall costs.
Winners are voted for by a panel of industry experts for both awarding bodies in a process that aims to recognize the outstanding achievements within the digital infrastructure industry.
“We are thrilled to receive these acknowledgments for our data center services”, says Eyjólfur Magnús Kristinsson, CEO at atNorth. “atNorth has experienced significant growth over the last couple of years and this industry recognition is a testament to our dedication to delivering excellence across the board. We are determined to continue decarbonizing the world’s most demanding workloads in an efficient, sustainable, and cost-effective way.”
The news follows atNorth’s announcements of colocation clients Crusoe, BNP Paribas and Advania. The business has also received recent recognition from multiple other awarding bodies including; the Datacloud Global Awards, the Energy Awards, TechRound’s Sustainability60 and the UK Green Business Awards.
About atNorth
atNorth is a leading Nordic data center services company that offers sustainable, cost-effective, scalable colocation and high-performance computing services trusted by industry-leading organizations. The business acquired leading High-Performance Computing (HPC) provider, Gompute, in 2023 enabling a compelling full stack offering tailored to AI and other critical high-performance workloads.
With sustainability at its core, atNorth’s data centers run on renewable energy resources and support circular economy principles. All atNorth sites leverage innovative design, power efficiency, and intelligent operations to provide long-term infrastructure and flexible colocation deployments. The tailor-made solutions enable businesses to calculate, simulate, train and visualize data workloads in an efficient, cost-optimized way.
atNorth is headquartered in Reykjavik, Iceland and operates seven data centers in strategic locations across the Nordics, with additional sites to open in Helsinki, Finland and in Denmark in Q4 2024, as well as its tenth site ready for operation in Kouvola, Finland in 2025.
For more information, visit atNorth.com or follow atNorth on LinkedIn or Facebook.
Press Contact:Caroline BruntonKite Hill PR for atNorth+44 (0) 7796 274 [email protected]
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