Artificial Intelligence
Cheetah Mobile Announces Second Half and Full Year 2022 Unaudited Consolidated Financial Results
Cheetah Mobile Inc. (NYSE: CMCM) (“Cheetah Mobile” or the “Company”), a China-based IT company, today announced its unaudited consolidated financial results for the second half and full year 2022 ended December 31, 2022.
Management Commentary
Mr. Sheng Fu, Cheetah Mobile’s Chairman and Chief Executive Officer, stated, ” While there are some challenges such as Covid-19 in 2022, we managed to increase our total revenue year over year by around 13% to RMB884.1 million (USD128.2 million) in 2022. Driven by elevated products, services and user experience, both the revenues from our membership business and number of subscribers have increased for more than ten quarters consecutively. Our global cloud service business and overseas advertising agency business also maintained good momentum and contributed to our revenue growth in 2022. Looking ahead, we remain confident in our long-term opportunities and growth. We will continue to pursue healthy and high-quality development in 2023. ”
Mr. Thomas Ren, Cheetah Mobile’s Chief Financial Officer, commented, “In 2022, we continued to take measures to control our expenses and improve our organizational efficiency. Our gross margin increased year over year from 67.2% to 71.4% in this year. We maintained a strong cash position of RMB1,672.7 million as of December 31, 2022. This gives us financial flexibility to execute the key strategic objectives we have set out for long-term growth. ”
Second Half 2022 Consolidated Financial Results
REVENUES
Total revenues were RMB527.0 million (US$76.4 million) in the second half of 2022, representing an increase of 40.7% year over year.
Revenues from the Company’s internet business increased by 41.6% year over year to RMB421.9 million (US$61.2 million) in the second half of 2022. The year-over-year increase was mainly due to our endeavors to increase user acquisition through multiple channels.
Revenues from the AI and others were RMB105.1 million (US$15.2 million) in the second half of 2022, representing a 37.5% year-over-year increase. The year-over-year increase was primarily attributable to the growth of our global cloud service business, overseas advertising agency business as well as the development of our E-coupon vending robot business.
COST OF REVENUES AND GROSS PROFIT
Cost of revenues decreased by 12.5% year over year to RMB129.3 million (US$18.8 million) in the second half of 2022. The year-over-year decrease was primarily attributable to decrease of advertising business related traffic acquisition costs and channel costs. Non-GAAP cost of revenues decreased by 12.4% year over year to RMB129.1 million (US$18.7 million) in the second half of 2022.
Gross profit increased by 75.4% year over year to RMB397.7 million (US$57.7 million) in the second half of 2022. Non-GAAP gross profit increased by 75.2% year over year to RMB398.0 million (US$57.7 million) in the second half of 2022.
Gross margin was 75.5% in the second half of 2022, compared to 60.5% in the second half of 2021. Non-GAAP gross margin was 75.5% in the second half of 2022, compared to 60.7% in the second half of 2021.
OPERATING INCOME/LOSS AND EXPENSES
Total operating expenses increased by 45.8% year over year to RMB497.2 million (US$72.1 million) in the second half of 2022. Total non-GAAP operating expenses increased by 47.3% year over year to RMB493.6 million (US$71.6 million) in the second half of 2022.
- Research and development expenses decreased by 5.6% year over year to RMB85.9 million (US$12.5 million) in the second half of 2022. The year-over-year decrease was primarily due to the improvement of operational efficiency. Non-GAAP research and development expenses decreased by 3.8% year over year to RMB84.7 million (US$12.3 million) in the second half of 2022.
- Selling and marketing expenses increased by 81.7% year over year to RMB306.5 million (US$44.4 million) in the second half of 2022. The year-over-year increase was from the marketing and promotion expenses related to our user acquisition. Non-GAAP selling and marketing expenses increased by 82.2% year over year to RMB305.7 million (US$44.3 million) in the first half of 2022.
- General and administrative expenses increased by 21.5% year over year to RMB115.1 million (US$16.7 million) in the second half of 2022. The year-over-year increase was mainly from some one-time expenses. Non-GAAP general and administrative expenses increased by 22.5% year over year to RMB113.6 million (US$16.5 million) in the first half of 2022.
Operating loss was RMB99.5 million (US$14.4 million) in the second half of 2022, compared to RMB114.2 million in the same period of the last year. Non-GAAP operating loss was RMB95.6 million (US$13.9 million) in the second half of 2022, compared to RMB107.8 million in the same period of the last year.
Share-based compensation expenses were RMB3.9 million (US$0.6 million) in the second half of 2022, compared to RMB6.4 million in the same period of the last year.
OTHER EXPENSE, NET
Other expense, net was RMB351.6 million (US$51.0 million) in the second half of 2022, which was primarily from the impairment of some long-term investments.
NET INCOME/(LOSS) ATTRIBUTABLE TO CHEETAH MOBILE SHAREHOLDERS
Net loss attributable to Cheetah Mobile shareholders was RMB440.9 million (US$63.9 million) in the second half of 2022, compared to a net loss attributable to Cheetah Mobile shareholders of RMB428.5 million in the same period of the last year.
Non-GAAP net loss attributable to Cheetah Mobile shareholders was RMB437.0 million (US$63.4 million) in the second half of 2022, compared to a non-GAAP net loss attributable to Cheetah Mobile shareholders of RMB422.1 million in the same period of the last year.
NET INCOME/(LOSS) PER ADS
Diluted loss per ADS was RMB15.4 (US$2.2) in the second half of 2022, compared to diluted loss per ADS of RMB15.2 in the same period of the last year. Non-GAAP diluted loss per ADS was RMB15.3(US$2.2) in second half of 2022, compared to Non-GAAP diluted loss per ADS of RMB14.9 in the same period of the last year.
BALANCE SHEET
As of December 31, 2022, the Company had cash and cash equivalents, restricted cash and short-term investments of RMB1,672.7 million (US$242.5 million).
SHARES ISSUED AND OUTSTANDING
As of December 31, 2022, the Company had a total of 1,449,473,689 Class A and Class B ordinary shares issued and outstanding. On August 23, 2022, the Company announced that it changed the ratio of its American Depositary Share (“ADS”) to Class A ordinary share (“Share”) from one (1) ADS representing ten (10) Shares to one (1) ADS representing fifty (50) Shares, effective September 2, 2022. Accordingly, the Company has retrospectively revised the comparative data from the previous periods to conform to the requisite presentation for the current period.
Fiscal Year 2022 Consolidated Financial Results
REVENUES
Total revenues increased by 12.7% to RMB884.1 million (US$128.2 million) in 2022.
Revenues from the Company’s internet business increased by 6.7% year over year to RMB697.4 million (US$101.1 million) in 2022. The year-over-year increase was mainly due to the growth of our membership business.
Revenues from the AI and others increased by 42.7% year over year to RMB186.7 million (US$27.1 million) in 2022. The year-over-year increase was primarily attributable to growth of our global cloud service business, overseas advertising agency business as well as the development of our E-coupon vending robot and related business.
COST OF REVENUES AND GROSS PROFIT
Cost of revenues decreased by 2.0% year over year to RMB252.6 million (US$36.6 million) in 2022. The year-over-year decrease was primarily due to lower advertising business related traffic acquisition costs and channel costs. Non-GAAP cost of revenues decreased by 1.9% year over year to RMB251.9 million (US$36.5 million) in 2022.
Gross profit increased by 19.8% year over year to RMB631.5 million (US$91.6 million) in 2022. Non-GAAP gross profit increased by 19.7% year over year to RMB632.2 million (US$91.7 million) in 2022.
Gross margin was 71.4% in 2022, compared to 67.2% in 2021. Non-GAAP gross margin was 71.5% in 2022, compared to 67.3% in 2021.
OPERATING INCOME/LOSS AND EXPENSES
Total operating expenses increased by 13.3% year over year to RMB857.1 million (US$124.3 million) in 2022. Total non-GAAP operating expenses increased by 13.3% year over year to RMB849.9 million (US$123.2 million) in 2022.
- Research and development expenses decreased by 14.5% year over year to RMB181.0 million (US$26.2 million) in 2022. The year-over-year decrease was due to improvement of operational efficiency. Non-GAAP research and development expenses decreased by 12.8% year over year to RMB179.4 million (US$26.0 million) in 2022.
- Selling and marketing expenses increased by 28.8% year over year to RMB476.9 million (US$69.1 million) in 2022. This year-over-year increase was primarily due to the marketing and promotion expenses related to our user acquisition. Non-GAAP selling and marketing expenses increased by 28.7% year over year to RMB475.0 million (US$68.9 million) in 2022.
- General and administrative expenses increased by 11.7% year over year to RMB214.3 million (US$31.1 million) in 2022. The year-over-year increase was mainly from some one-time expenses. Non-GAAP general and administrative expenses increased by 9.1% year over year to RMB210.6 million (US$30.5 million) in 2022.
Operating loss was RMB225.6 million (US$32.7 million) in 2022, compared to RMB229.6 million in 2021. Non-GAAP operating loss was RMB217.7 million (US$31.6 million) in 2022, compared to RMB222.4 million in 2021.
Share-based compensation expenses were RMB7.9 million (US$1.1 million) in 2022, compared to RMB7.2 million in 2021.
NET INCOME/(LOSS) ATTRIBUTABLE TO CHEETAH MOBILE SHAREHOLDERS
Net loss attributable to Cheetah Mobile shareholders was RMB513.5 million (US$74.4 million) in 2022, compared to a net loss attributable to Cheetah Mobile shareholders of RMB351.1 million in 2021.
Non-GAAP net loss attributable to Cheetah Mobile shareholders was RMB505.6 million (US$73.3 million) in 2022, compared to a non-GAAP net loss attributable to Cheetah Mobile shareholders of RMB344.0 million in 2021.
NET INCOME/(LOSS) PER ADS
Diluted loss per ADS was RMB18.1 (US$2.6) in 2022, compared to diluted loss per ADS of RMB12.3 in 2021. Non-GAAP diluted loss per ADS was RMB17.8 (US$2.6) in 2022, compared to Non-GAAP diluted loss per ADS of RMB12.1 in 2021.
Business Outlook
For the first half of 2023, the Company expects its total revenues to be between RMB310 million (US$44.9 million) and RMB360 million (US$52.2 million). This amount reflects the Company’s current and preliminary expectations.
Exchange Rate
This press release contains translations of certain Renminbi amounts into U.S. dollars at specified rates solely for the convenience of readers. Unless otherwise noted, all translations from Renminbi to U.S. dollars in this press release were made at a rate of RMB6.8972 to US$1.00, the exchange rate in effect as of December 31, 2022, as set forth in the H.10 statistical release of the Federal Reserve Board. Such translations should not be construed as representations that RMB amounts could be converted into U.S. dollars at that rate or any other rate, or to be the amounts that would have been reported under accounting principles generally accepted in the United States of America (“U.S. GAAP”).
Artificial Intelligence
AI In Life Science Analytics Market worth $3.56 Bn by 2031 – Exclusive Report by InsightAce Analytic Pvt. Ltd.
JERSEY CITY, N.J., May 2, 2024 /PRNewswire/ — InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the “Global AI In Life Science Analytics Market – By Component (Software, Hardware, Services), By Deployment (On-premise, Cloud), By Application (Research and Development, Sales and Marketing support, Supply chain analytics), By End-user (Medical Devices, Pharmaceutical, Biotechnology)), Trends, Industry Competition Analysis, Revenue and Forecast To 2031.”
According to the latest research by InsightAce Analytic, the Global AI In Life Science Analytics Market is valued at US$ 1.63 Bn in 2023, and it is expected to reach US$ 3.56 Bn by 2031, with a CAGR of 10.39% during the forecast period of 2024-2031.
Request for Sample Pages: https://www.insightaceanalytic.com/request-sample/2456
AI in the context of life science analytics refers to the use of AI techniques and tools for the analysis of biological as well as environmental data. With the use of artificial intelligence (AI), life science analytics may make better use of complex healthcare, medical, and scientific information by applying high-level computational algorithms.
The goal of life science analytics is to find useful patterns in massive amounts of medical, clinical, and biological data by applying various data analysis tools and techniques. Because of its superior computing and learning capabilities, AI is indispensable in improving life science analytics. The demand for more accurate and tailored techniques in healthcare and the life sciences, together with the rising availability of data, is projected to propel artificial intelligence in the life science analytics market to new heights as the discipline undergoes more development.
Pharmaceutical spending on complex diseases like cancer is on the rise, which is fueling the expansion of artificial intelligence in the life science analytics industry. However, implementing artificial intelligence (AI) solutions can be prohibitive for smaller organizations, making investing in the necessary technology and training difficult.
List of Significant Players in the AI In Life Science Analytics Market:
IndegeneLexalyticsDatabricksSAS Institute Inc.SisenseIQVIAIBMSorcero AtomwiseNuMediiAiCure LLCNuance CommunicationsAPIXIO, IncInsilico MedicineOther Market PlayersAI In Life Science Analytics Market Report Scope:
Report Attribute
Specifications
Market Size Value In 2023
USD 1.63 Bn
Revenue Forecast In 2031
USD 3.56 Bn
Growth Rate CAGR
CAGR of 10.39 % from 2024 to 2031
Quantitative Units
Representation of revenue in US$ Million and CAGR from 2024 to 2031
Historic Year
2019 to 2023
Forecast Year
2024-2031
Report Coverage
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends
Segments Covered
By Component, Application, Deployment, And End-Use
Regional Scope
North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Market Dynamics:
Drivers-
The growing demand for AI in the life science analytics market is fueled by the exponential growth of data in the life sciences. Conventional methods of data analysis need to be revised in the face of the enormous amounts of biological, clinical, and healthcare data produced by genomics, proteomics, and electronic health records. Artificial intelligence (AI) has arisen as a game-changing solution because of its superior processing capabilities; it can handle and derive valuable insights from these immense and complicated datasets with ease. Incredible possibilities for pattern discovery, disease outcome prediction, and optimization of healthcare and life sciences research await in the mountains of data. Utilizing AI, researchers, healthcare experts, and pharmaceutical businesses can easily integrate and analyze various forms of data, which in turn allows them to uncover useful insights.
Challenges:
The prime challenge is a lack of awareness, a shortage of competent individuals, and a lack of norms and protocol because of lockdowns and isolation in emerging countries, which is predicted to slow the growth of AI in the life science analytics market. The low level of implementation of AI in several healthcare settings. There is no denying AI’s revolutionary promise in healthcare, yet smaller or less tech-savvy healthcare organizations face challenges when trying to integrate these new technologies. In these contexts, adoption is more gradual because of a lack of resources, including both financial commitment and trained staff. Implementing AI systems is complex, necessitating specialized training and infrastructure changes, which adds to the already existing difficulties. In addition, the health and life science sectors were helped by the COVID-19 epidemic. There was a dramatic uptick in the use of artificial intelligence (AI) for life science analytics as a response to the epidemic, which prompted the industry to speed up innovation in the face of such a dire threat. During the pandemic, markets worldwide grew because of AI-driven discoveries, not the months-long and similarly costly traditional methods of vaccine recognition.
Regional Trends:
The North American AI in life science analytics market is anticipated to record a large market share in terms of revenue. It is projected to grow at a high CAGR in the near future due to the high need for AI solutions in almost every field of life science. Artificial intelligence (AI) solutions for biotech, precision medicine, and drug development are in high demand in this country. Besides, Asia Pacific had a remarkable share in the market due to the fact that numerous research firms have ramped up their investments in artificial intelligence software and technology in an effort to boost operational efficiency.
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Recent Developments:
In Feb 2024, Wipro and IBM extended their partnership in order to provide clients with new AI services and support. the Wipro enterprise ai-ready platform was developed by Wipro and IBM in the course of an extensive collaboration. The expanded collaboration merged the technological prowess and industry knowledge of Wipro with IBM’s pioneering hybrid cloud and AI developments. The objective was to develop collaborative solutions that facilitated the progress of integrating, enterprise-ready, dependable, and comprehensive artificial intelligence solutions.In Dec 2022, Quantori formed a partnership with Databricks to expedite data-driven advancements in the fields of life sciences and healthcare. Quantori created solutions using the Databricks Lakehouse Platform to offer immediate insights into real-world data to enhance patient outcomes for researchers and physicians.Segmentation of AI In Life Science Analytics Market-
By Component-
SoftwareHardwareServicesBy Deployment-
On-premiseCloudBy Application-
Research and DevelopmentSales and Marketing supportSupply chain analyticsOthersBy End-user-
Medical DevicesPharmaceuticalBiotechnologyBy Region-
North America-
The USCanadaMexicoEurope-
GermanyThe UKFranceItalySpainRest of EuropeAsia-Pacific-
ChinaJapanIndiaSouth KoreaSouth East AsiaRest of Asia PacificLatin America-
BrazilArgentinaRest of Latin America Middle East & Africa-
GCC CountriesSouth AfricaRest of the Middle East and AfricaFor More Customization @ https://www.insightaceanalytic.com/customisation/2456
Why should buy this report:
To receive a comprehensive analysis of the prospects for global AI In Life Science Analytics marketTo receive industry overview and future trends of global AI In Life Science Analytics marketTo analyze the AI In Life Science Analytics market drivers and challengesTo get information on the AI In Life Science Analytics market size value (US$ Mn) forecast till 2031Major Investments, Mergers & Acquisition in global AI In Life Science Analytics market industryOther Related Reports Published by InsightAce Analytic:
Life Science Tools Market
Big Data in Healthcare Market
Digital Twins in Healthcare Market
eConsent In Healthcare Market
About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
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Artificial Intelligence
Fiix by Rockwell Automation Announces Industry-Leading GenAI Prescriptive Work Orders
Included in Fiix Asset Risk Predictor, Fiix Prescriptive Maintenance transforms asset health predictions into actionable work orders
BRUSSELS, May 2, 2024 /PRNewswire/ — Rockwell Automation, Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and digital transformation, is excited to add cutting-edge, generative artificial intelligence (GenAI) prescriptive work orders to Fiix Asset Risk Predictor software, creating the first complete predictive and prescriptive maintenance solution to help manufacturers eliminate unplanned downtime.
Fiix Asset Risk Predictor’s powerful AI can be set up in as little as two weeks and starts predicting asset failures days in advance. With the addition of Fiix Prescriptive Maintenance, it now features GenAI capabilities that transform failure predictions into detailed, actionable work orders for maintenance teams.
Work orders are generated using asset data, completed work orders and trusted maintenance sources. Teams can then review and edit work orders, and instantly push them to any computerized maintenance management system (CMMS) or enterprise asset management (EAM) tool. All data is kept completely private and protected by the highest security standards.
“With Fiix Prescriptive Maintenance, you can turn asset data into the predictions and work orders you need to drastically reduce unplanned downtime, boost operational equipment effectiveness (OEE), and make better use of resources,” says Sandy D’Souza, senior director sales, Americas, Fiix by Rockwell Automation. “It also helps close the maintenance knowledge gap, ensuring everyone has access to detailed asset and work order information, whether they’ve just started their career or have decades of experience at a company.”
By bringing together AI-powered predictive maintenance and actionable GenAI work orders, Fiix Asset Risk Predictor ensures manufacturers see results in the fastest time possible.
Fiix Asset Risk Predictor, now including Fiix Prescriptive Maintenance, can be purchased and used independently from the Fiix CMMS or seamlessly integrated with it. It can also be integrated with any CMMS or EAM your company uses.
About Rockwell Automation
Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 29,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com.
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Artificial Intelligence
Breaking New Ground: Sentiance Introduces First Mobile Crash Detection for Motorcycles
ANTWERP, Belgium, May 2, 2024 /PRNewswire/ — Sentiance, a leader in road safety solutions, today announces a significant advancement in motorcycle safety with the expansion of its mobile Crash Detection technology. Originally developed for cars, this first-of-its-kind solution is now tailored specifically for motorcycles.
Built on state-of-the-art interpretive AI and machine learning models, Sentiance’s Crash Detection technology utilizes smartphone sensors and GPS data to analyze motion data in real-time. This enables the system to detect potential impacts with exceptional accuracy and reliability, addressing the unique dynamics of motorcycles. Unlike other systems, Sentiance’s technology operates directly on-device, ensuring a high level of privacy and data security.
“Today we see around 30% of all road crash deaths globally involving motorcycles, with countries like Thailand having an average of 5,000 motorcyclist deaths recorded annually. Ahead of the game, we’re not just enhancing safety features for those motorcycle riders, we are fundamentally transforming their safety landscape,” said Toon Vanparys, CEO of Sentiance. “This technology is not only a game-changer for individual safety but also addresses a significant need in markets where motorcycles are essential for daily transport and industries like food, grocery, and document delivery.”
This technology is especially crucial in regions like APAC, the Middle East, India, Africa, and South America, to transform road safety standards and make advanced safety tools easily accessible. Sentiance’s scalable and affordable technology ensures that even in cost-sensitive markets, safety, and privacy are not compromised.
By reducing accident response times and improving driving behaviors through data-driven insights, Sentiance’s mobile Crash Detection promises to reduce accident response times, saving lives and improving road conditions globally.
About Sentiance
Sentiance is the leader in motion insights. Our mission is to save lives every day and shape the future of road safety. Unlike telematics companies, we focus on the driver and not the vehicle because most accidents are caused by human error.
With our revolutionary on-device AI technology, companies use insights from The Edge Platform to produce scalable, cost-efficient, and privacy-centric solutions for their customers.
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