Artificial Intelligence
Artificial Intelligence Market Is Expected To Reach USD 1,811.75 Billion by 2030, Grow at a CAGR Of 37.3% during Forecast Period 2023 To 2030 | Data By Contrive Datum Insights Pvt Ltd.
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Farmington, March 22, 2023 (GLOBE NEWSWIRE) — The Global Artificial Intelligence Market Size Was Valued At Around USD 136.55 Billion In 2022 And Is Projected To Expand USD 1,811.75 Billion, With a CAGR Of 37.3% From 2023 To 2030. The AI market is made up of several smaller markets, such as natural language processing, machine learning, deep learning, computer vision, and others. These technologies are used a lot in many different fields, like healthcare, the auto industry, finance, retail, and more.
At the moment, North America is the biggest market for AI. Europe and the Asia-Pacific region come next. Some of the main things that are making the AI market grow are the growing use of AI in different industries, the growing demand for products and services that use AI, and the growth of big data.
IBM, Google, Microsoft, Amazon, Intel, NVIDIA, and other companies are some of the most important ones in the global AI market. These companies put a lot of money into research and development to come up with new AI-based products and services and to improve the speed and accuracy of AI systems they already have.
Request Sample Copy of Report “Artificial Intelligence Market Size, Share & Trends Estimation Report By Solution Outlook (Hardware, Software & Services), By Technology Outlook (Deep Learning, Machine Learning, Natural Language Processing (NLP) & Machine Vision), By End User Outlook (Healthcare, Robot-Assisted Surgery, Virtual Nursing Assistants, Hospital Workflow Management, Dosage Error Reduction & Clinical Trial Participant Identifier) By Region, And Segment Forecasts, 2023 – 2030”, published by Contrive Datum Insights.
Segmentation Overview:
Solution Insights:
In the AI services market, vendors offer consulting, integration, and support services to help businesses set up and maintain AI technologies.
Each of these solution outlook segments gives businesses and organisations in the AI market a different set of chances and problems. Understanding the pros and cons of each segment can help businesses come up with good plans for using AI to improve their operations and drive growth.
Technology Insights:
In the technology outlook segment analysis of the global artificial intelligence market, the different kinds of AI technologies that are used now or are likely to be used in the future are listed. Some of the most important technology outlooks in the AI market are:
Deep learning is a type of machine learning in which neural networks are used to process and analyse complicated data. It is used to do things like recognise speech, process images, and translate languages.
End User Insights:
The global artificial intelligence market’s end user segment analysis shows which industries and sectors are using AI technologies. Some of the most important types of end users in the AI market are:
AI is being used in the manufacturing industry for things like predictive maintenance, quality control, and optimising the supply chain. AI is also being used to make manufacturing operations more productive and cut costs. Agriculture, energy, and education are some other fields that are using AI technologies.
Regional Outlook:
North America is the biggest market for AI, and the US and Canada are two of the biggest players in developing and using AI technologies. The area has a strong ecosystem of AI startups and technology companies, and the people who work there are very skilled.
AI is becoming more popular in Latin America, where countries like Brazil and Mexico are investing in research and development. The area has a lot of people and a growing digital economy, which makes it a good place for AI to be used in areas like finance and e-commerce.
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Scope of Report:
| Report Attributes | Details |
| Growth Rate | CAGR of 38.5% from 2023 to 2030. |
| Revenue Forecast by 2030 | USD 1,811.75 Billion |
| By Technology | Hardware, Software, Services, Other |
| By Technology | Retail, Advertising & Media, Automotive & Transportation, Agriculture, Manufacturing, Other |
| By Law | Deep Learning, Machine Learning, Natural Language Processing (NLP), Machine Vision, Other |
| By End-use | Healthcare, Robot-Assisted Surgery, Virtual Nursing Assistants, Hospital Workflow Management, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, Automated Image Diagnosis, BFSI, Risk Assessment, Financial Analysis/Research, Investment/Portfolio Management, Other |
| By Companies | Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc., Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc. |
| Regions and Countries Covered |
|
| Base Year | 2022 |
| Historical Year | 2017 to 2022 |
| Forecast Year | 2023 to 2030 |
Market Dynamics:
Latest Trends:
Advancements in technology: As machine learning, deep learning, and natural language processing get better, AI gets more accurate, efficient, and cost-effective. AI is being used in more and more industries because of these changes in technology.
Rising need for personalization: Consumers want more and more personalised experiences from businesses, and AI can be used to analyse and process large amounts of data to create customised experiences for customers.
Cost savings: AI can help businesses save money by automating processes and optimising operations. This makes businesses more efficient and cuts down on labour costs.
Improved decision-making: AI can help organisations make data-driven decisions by analysing large amounts of data and giving insights that humans may not be able to see.
The global AI market is growing because of how fast technology is changing, how much data is being made, and how many people want automation and personalization.
Restraining Factors:
Integration with legacy systems: Many organisations have legacy systems that aren’t compatible with AI technologies, which can make integration and implementation hard and expensive.
Lack of understanding and trust: People and businesses may not fully understand and trust AI technologies, which could slow down their use and investment.
Regulatory hurdles: AI regulations are still in their early stages, so it’s not clear how AI technologies will be governed. This uncertainty could make it harder to invest and get things done.
These things could slow the growth of the global AI market, but continued investments in talent development, ethical guidelines, and regulatory frameworks, as well as more awareness and understanding of AI, could help to overcome these problems.
Opportunity Factors:
Improved customer experience: AI can be used to analyse customer data and give customers more personalised experiences, which makes customers happier and more loyal.
Enhanced cybersecurity: AI can be used to find and stop cyber threats, which improves security and makes cyber attacks less likely.
Increased accessibility: AI can be used to make products and services easier for people with disabilities to use, making them more accessible and welcoming.
Improved decision-making: AI can be used to look at a lot of data and give insights to help people make decisions based on the data.
Cost savings: AI can help businesses save money by automating processes and improving how they work. This makes them more efficient and saves money on labour costs.
There are a lot of opportunities in the AI market, which has the potential to drive innovation, improve customer experiences, and give businesses in all fields new ways to make money. As technology keeps changing and getting better, businesses that invest in AI are likely to get a competitive edge in their markets.
Challenges Factors:
Lack of skilled professionals: There aren’t enough data scientists, machine learning engineers, and AI researchers who are skilled in AI right now. This can make it hard for companies to find the people they need to build and use AI technologies.
Regulatory hurdles: AI regulations are still in their early stages, so it’s not clear how AI technologies will be governed. This uncertainty could make it harder to invest and get things done.
Data quality: The accuracy and reliability of AI systems depend on the quality of the data used to train AI models. AI models that are biased and wrong can be the result of bad data.
These problems could make it hard for AI technologies to grow and be used by more people. To solve these problems, governments, businesses, and other stakeholders will need to work together to create ethical guidelines, regulatory frameworks, and talent development programmes that support the development and use of AI in a responsible way.
Key Segments Covered:
Top Market Players:
Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc., Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc., and others.
By Solution
- Hardware
- Software
- Services
By Technology
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
- Machine Vision
By End-use
- Healthcare
- Robot-Assisted Surgery
- Virtual Nursing Assistants
- Hospital Workflow Management
- Dosage Error Reduction
- Clinical Trial Participant Identifier
- Preliminary Diagnosis
- Automated Image Diagnosis
- BFSI
- Risk Assessment
- Financial Analysis/Research
- Investment/Portfolio Management
- Others
By Law
- Retail
- Advertising & Media
- Automotive & Transportation
- Agriculture
- Manufacturing
- Others
Regions and Countries Covered
- North America: (US, Canada, Mexico, Rest of North America)
- Europe: (Germany, France, Italy, Spain, UK, Nordic Countries, Benelux Union, Rest of Europe)
- Asia-Pacific: (Japan, China, India, Australia, South Korea, Southeast Asia, Rest of Asia-Pacific)
- The Middle East & Africa: (Saudi Arabia, UAE, Egypt, South Africa, Rest of the Middle East & Africa)
- Latin America: (Brazil, Argentina, Rest of Latin America)
- Rest Of the World
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Artificial Intelligence
Elevate Your Virtual Reality Experience with KIWI design RGB Vertical Stand, Now Available on Meta’s Website
LOS ANGELES, May 11, 2024 /PRNewswire/ — Top-tier VR accessories provider KIWI design has launched its latest product, the RGB Vertical Stand. This Meta-authorized accessory, designed to deepen users’ immersion in the metaverse, is now available on the official Meta website.
“KIWI design’s commitment to pushing the boundaries of virtual reality accessories takes another leap forward with the introduction of our new products,” said Ray,the CEO of KIWI design. “We are always dedicated to bringing innovative upgrades to VR device accessories, with the goal of enriching users’ virtual reality experiences.”
The newly launched RGB Vertical Stand features a user-friendly modular design with push-in assembly, making it easy to set up and use. It is compatible with Meta Quest 3, Quest 2, and Quest Pro, ensuring widespread usability. With a magnetic USB Type-C connector, it provides an effortless way to charge and display your headset. Users can also customize their display with 16 pre-set ambient multicolor RGB light options.
With VR technology constantly evolving, users are seeking more immersive experiences. As a leading manufacturer of VR accessories, KIWI design is committed to enhancing the user experience, through unique product designs. Since its establishment in 2015, KIWI design has acquired over 100 patents and has a diverse product lineup, including head straps, facial interfaces, VR stands, charging accessories, and controller grip covers.
KIWI design has also actively participated in the Made for Meta program, which is provided by Meta to strengthen its partnerships with leading brands to deliver accessories that enhance Meta products with more choice and a richer experience for everyone. KIWI design’s participation in this program validates its high-quality design standards.
The RGB Vertical Stand for Meta Quest 3, Quest 2, and Quest Pro and another specially designed authorized charging dock for the Meta Oculus Quest 2 are now available for purchase on both KIWI design’s website and Amazon. For more information about our brand and products, please visit our website and follow KIWI design on Facebook, Instagram, X, YouTube and TikTok.
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LOS ANGELES, May 11, 2024 /PRNewswire/ — WIO LLC, parent company of the global TV broadcast airings platform, WIOpro™, has announced a new strategic agreement with Gracenote, the global content data business unit of Nielsen, to address the longstanding challenge of accurately tracking and collecting music royalties generated by broadcast television and digital programming, With this agreement, WIO will integrate Gracenote TV program metadata and show airings into its WIOpro™ (“When’s It On – Professional”) platform enabling performance rights organizations, copyright management organizations and other entities to better monitor broadcast schedules and identify when royalties have been earned.
By integrating Gracenote historical program data into WIOpro’s new LookBack™ feature, WIO is enhancing its reporting capabilities and empowering Collection Societies, Rights Management Companies and the royalty-earning community to more easily monitor and export broadcast airings and better understand collections opportunities.
“At WIO, we are committed to empowering collection societies and copyright holders around the world with our platform tools and unprecedented access to the best and most accurate television broadcast and streaming data available,” said Shawn Pierce, Co-Founder and CEO of WIO LLC. “We have enjoyed an incredible relationship with Gracenote for 10 years. With the solidification of this agreement, we are able to deliver an unrivaled dataset to the royalty and residual community in a way that has not been offered before.” said Adam Shafron, Co-Founder and CTO of WIO LLC.
“WIO’s platform developed to solve the difficult matter of royalty tracking only becomes more powerful based on the integration of accurate, timely and comprehensive Gracenote metadata,” said Scott Monahan, Director, Strategic Partnerships, Gracenote. “We look forward to the combination of WIOpro’s technology and Gracenote’s program metadata delivering on the promise of transforming music royalty collection so that rights holders can be fairly compensated for use of their work.”
WIO and Gracenote will be at the MusicBiz 2024 conference in Nashville, TN May 13 – 16. Contact Dave Pelman, COO of WIO LLC at [email protected] for media queries or to book an appointment for a product demonstration.
About WIO:WIO is a technology company dedicated to providing broadcast television and digital programming data tailored specifically for the royalty and residual collection industry. Through its platform WIOpro (wiopro.com), users obtain access to real-time broadcast insights, reporting and curated data delivery.
About Gracenote:Gracenote is the content data business unit of Nielsen providing entertainment metadata, connected IDs and related offerings to the world’s leading creators, distributors and platforms. Gracenote enables advanced content navigation and discovery capabilities helping individuals easily connect to the TV shows, movies, music, podcasts and sports they love while delivering powerful content analytics making complex business decisions simpler.
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Artificial Intelligence
IDTechEx Explores Printed Electronics in Electrified and Autonomous Mobility
BOSTON, May 10, 2024 /PRNewswire/ — Electrification, autonomy, and vehicle ownership saturation are causing a technological revolution in the automotive sector. These automotive meta-trends are driving drastic changes in electronic component requirements and present a high-volume opportunity for printed electronics to capitalize on.
Historically, printed electronics technologies have nurtured a close relationship with the automotive sector, with printed force sensors pioneering passenger safety through seat occupancy and seatbelt detection. As such, the automotive sector continues to represent the lion’s share of the global printed and flexible sensor market, which IDTechEx’s report on the topic evaluates as worth US$421M in 2024. However, if the automotive sector is to continue to be a reliable revenue stream, printed electronics technology providers must adapt to address the emerging technical challenges facing future mobility.
Augmenting autonomous vehicles with printed electronics
As vehicle autonomy levels advance, the increasing number and distribution of spatial mapping sensors required will need continuous performance improvements to ensure passenger safety. Emerging printed electronics technologies can augment these sensors, extending detection bandwidth and maximizing reliability during operation.
Transparent conductive films (TCFs) are being developed to heat and defog LiDAR sensor panels, ensuring the function is unperturbed by external environmental conditions. Properties such as high transparency and low haze are important for defogging. These properties can be easily tuned using the wide variety of material options available for TCFs, including carbon nanotubes and silver nanowires.
IDTechEx identifies printed heating as a leading application of transparent conductive films. This is attributed to diminishing growth prospects in capacitive touch sensing applications. Innovations in thin film coating techniques have enabled indium tin oxide (ITO) to dominate touch sensing applications, all but displacing TCFs completely.
Looking towards the future, printed electronics technologies could play a more active role in advanced autonomous driving. Emerging semiconductive materials, such as quantum dots, printed directly onto conventional silicon image sensor arrays can extend detection range and sensitivity deeper into the infrared region. Augmenting existing image sensor technology with enhanced spectral range could facilitate the competition of hybrid silicon sensors with established InGaAs detectors.
Printed sensors promise granularized battery health monitoring
Vehicle electrification is driving the sustained development and evolution of electronic management systems, particularly in the battery and electric drivetrain. A strong market pull exists for technologies that increase vehicle efficiency, range, and lifetime while reducing recharge times.
Printed pressure and temperature sensors measure battery cell swelling and thermal profiles, providing granularized physical data that can be used to optimize battery deployment and recharging. Moreover, hybrid printed sensors that combine integrated printed heating elements promise a solution to actively address battery temperature. IDTechEx estimates that printed sensor-enabled battery deployment and charging optimizations could be worth up to US$3000 in savings per vehicle.
There remains uncertainty about whether electrification trends will correspond to increased demand for physical sensors in electric vehicle batteries, owing to the utility of existing electronic readouts for managing deployment. Virtual sensors also pose a threat, where AI-enabled software models interpret data to predict and emulate physical sensor functions without the need for discreet components. However, emerging regulations regarding safety and sensor redundancy will likely favor measurable metrics and see automotive makers continue to adopt physical sensors. IDTechEx predicts that virtual sensors are unlikely to displace their physical counterparts – so long as low-cost sensors remain widely available.
Embedding printed electronics in the car of the future
IDTechEx predicts that global car sales will saturate over the next decade, with automakers increasingly looking for premium features and technical innovations to differentiate themselves from the competition. In-cabin technologies will be highly desirable – as the location where passengers reside and interact with the vehicle the most.
Lighting elements are emerging as a prominent differentiator, described as “the new chrome” by Volkswagen’s chief designer. The use of in-mold structural electronics (IMSE) enables the integration of embedded lighting elements using existing manufacturing processes. 3D electronics technologies are intrinsically attractive for automotive integration, as functional layers are conformable and lightweight while easily embedded within existing aesthetic elements.
Despite strong tailwinds, the adoption of in-mold electronics within automotive interiors has been sluggish. This is attributed to the challenges of meeting automotive qualification requirements, as well as stiff competition with less sophisticated alternatives such as applying functional films to thermoformed parts. Nevertheless, momentum is building, with technology providers like Tactotek partnering with Mercedes-Benz and Stallantis to progress the automotive validation of IMSE to TRL5.
Outlook for printed electronics in automotive applications
Just as printed force sensors heralded early passenger safety systems, printed electronics technology is poised to underpin next-generation innovations for the car of the future. But this time, the competition will be stiff. Critical cost requirements must be met, while desirable new functionality must address existing challenges faced by manufacturers. Printed electronics can play a role in supporting emerging electrified and autonomous mobility, such as augmenting LiDAR sensors or optimizing electric battery deployment. Demand for technologies that enhance passenger experience and vehicle aesthetics will continue to grow, and printed electronics can supply low-power, lightweight lighting solutions for these.
Sustained engagement from tier suppliers and manufacturers continues to make the automotive sector key to printed sensor market growth opportunities – a total market IDTechEx predicts will reach US$960M by 2034. Strong partnerships between material providers and printed electronics technology providers are complementary to those of the highly vertically integrated automotive value chains between tier suppliers and OEMs. Leveraging printing techniques to provide solutions that slot into existing manufacturing processes and designs will be crucial. In the medium term, the printed electronics technologies most likely to realize revenue potential are those that can adapt to service emerging challenges already known to the automotive industry.
For more information on IDTechEx’s research on this topic, please see their report, “Printed and Flexible Sensors 2024-2034: Technologies, Players, Markets”. Downloadable sample pages are available for this report.
For the full portfolio of printed and flexible electronics market research from IDTechEx, please visit www.IDTechEx.com/Research/PE.
About IDTechEx:
IDTechEx provides trusted independent research on emerging technologies and their markets. Since 1999, we have been helping our clients to understand new technologies, their supply chains, market requirements, opportunities and forecasts. For more information, contact [email protected] or visit www.IDTechEx.com.
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