Artificial Intelligence
Taboola Acquiring Connexity, Bringing Personalized e-Commerce Recommendations To The Open Web
Acquisition creates one of the largest e-Commerce media platforms on the open web;
Connexity clients include Walmart, Wayfair, Skechers, Macy’s, eBay and Otto
- Connexity is one of the largest e-Commerce media platforms on the open web, with over a million monthly transaction events.
- The acquisition will enable merchants to reach new clients through Taboola on the open web.
- Taboola and Connexity will be well positioned to drive growth to digital properties and help diversify their revenue mix, while also helping merchants and advertisers — all capitalizing on the significant future growth potential within the $35+ billion e-Commerce media addressable market in the US, according to eMarketer.
- Connexity drives its merchant business using contextual signals, alongside direct relationships with publishers, similar to Taboola – hence is not reliant on third party cookies.
- This acquisition creates a company with ex-TAC Gross profit of over $500 million, and approximately $185 million of adjusted EBITDA over the twelve months ended March 31, 2021.1
- Taboola expects to grow its stand-alone ex-TAC Gross profit in 2021 more than 20% versus 2020. When including Connexity, the pro forma growth of ex-TAC in 2021 vs 2020 is also expected to exceed 20%.
- The transaction is expected to be accretive to our anticipated profitability in the first full year following the transaction.
- The combination will mark a significant step forward towards Taboola’s open web vision by bringing a market-leading catalog of e-commerce offerings into Taboola’s “Recommend Anything and Anywhere” strategy.
- The total consideration of the transaction is approximately $800 million, consisting of cash and Taboola shares.
NEW YORK, July 23, 2021 (GLOBE NEWSWIRE) — Taboola (Nasdaq: TBLA), a global leader in powering recommendations for the open web, helping people discover things they may like, announced today that it has entered into a definitive purchase agreement to acquire Connexity from Symphony Technology Group for approximately $800 million. Connexity is one of the largest independent e-Commerce media platforms in the open web, serving over 1,600 direct merchants, and 6,000 publishers.
Connexity’s core technology powers customer acquisition for leading merchants including Walmart, Wayfair, Skechers, Macy’s, eBay and Otto. Connexity reaches more than 100 million unique shoppers per month, via relationships with premium publishers including Condé Nast, DotDash, Hearst, Vox Media, Meredith, and News Corp Australia. In addition, Connexity allows publishers to seamlessly integrate more than 750 million product offers on their websites, providing a significant revenue stream.
The acquisition of Connexity aligns with Taboola’s “Recommend Anything” growth strategy to introduce new types of recommendations and enter new segments, while leveraging its significant scale and recommendations platform to deliver even greater value to its 9,000 digital property partners, 13,000 direct advertisers and 500 million daily active users. This acquisition empowers a new type of advertiser to connect with Taboola’s massive and global audience across the open web, while providing publishers with a new and additional way to drive meaningful revenue growth, tapping into the estimated $35 billion U.S. e-Commerce media market, as well as the large global market.
Taboola’s advanced technology coupled with Connexity’s retail expertise and index of more than 750 million product offers will help introduce a new type of recommendation offering for Taboola on the open web. These recommendations will connect editorial content to product recommendations, where readers can easily buy products related to stories they are reading.
“We’re so excited to welcome the Connexity team to our Taboola family, today is a big day,” said Adam Singolda, CEO and founder, Taboola. “The rise of social commerce proves the value of commerce alongside content, and with Connexity, Taboola is primed to bring this value to the open web. e-Commerce is the future of the open web, consumers will be buying outside of Amazon, on publishers’ sites next to trusted editorial content a lot more than they are today. Amazon has millions of merchants, but merchants mainly have Amazon. That changes today. Combining Taboola and Connexity’s technologies is one step forward in creating an alternative to walled gardens.”
“Today, our vision of helping brands easily connect with customers and helping publishers grow gets supercharged with Taboola,” said Bill Glass, CEO of Connexity. “This is a shared vision for both companies, which makes this deal a natural fit and a huge win for both of our customer sets. I want to thank all of the team members as well as our loyal customers and partners who have helped Connexity pioneer its space and grow over the past 20 years.”
Today’s deal represents Taboola’s fifth acquisition and adds over 200 people to their team, bringing the number of total employees to approximately 1,600. Bill Glass, Connexity CEO, and the Connexity management team will lead the newly formed business unit at Taboola.
Connexity generated $158 million of revenue, $63 million of ex-TAC Gross profit and $28 million of Adjusted EBITDA in 2019, growing to $176 million of revenue, $78 million of ex-TAC Gross profit and $38 million of Adjusted EBITDA in 2020, driven by expansion of its merchant customer base, as well as the successful integration of Skimlinks’ market-leading commerce content technologies.
Transaction Details
Total estimated consideration for the Connexity acquisition is $800 million including purchase price and retention incentives. Taboola plans to finance the transaction with approximately $260 million from cash on hand, $300 million from committed debt financing and approximately $240 million through the issuance of ordinary shares to the seller. The exact number of ordinary shares issued will depend on the volume weighted average price of Taboola’s shares over the five business days ending three business days prior to the closing. The company expects the transaction to close in the third quarter of 2021, subject to receipt of regulatory approvals and satisfaction of customary closing conditions. Until the transaction closes, both companies will continue to operate independently.
Following becoming a publicly listed company on June 30, 2021, Taboola’s estimated fully diluted share count, as of the start of the third quarter, was approximately 256 million using the Treasury Stock Method of estimating fully diluted shares outstanding. This implies a fully diluted market capitalization of approximately $2.3 billion based on Taboola’s closing stock price of $9.00 on July 22, 2021. This market capitalization would imply dilution from this transaction to existing shareholders of approximately 10.4% at the $9.00 share price. These figures are estimates and only for illustrative purposes.
JPMorgan Chase Bank, N.A. and Credit Suisse AG acted as financial advisors to Taboola. JPMorgan Chase Bank, N.A. and Credit Suisse AG are providing committed debt financing for the transaction. Davis Polk & Wardwell LLP and Meitar Law Offices provided legal counsel to Taboola. Baird and BrightTower acted as financial advisors to Connexity. Paul Hastings LLP provided legal counsel to Connexity.
Conference Call Information
Taboola will host a conference call today, Friday, July 23rd, at 8:30 a.m. ET to discuss the transaction. The call can be accessed via webcast at https://investors.taboola.com, or by conference call by dialing (877) 312-1874, or (470) 495-9527 for international callers, and entering the conference ID 3278004.
Taboola will provide additional details about the transaction and Q2 2021 results on its Q2 2021 earnings conference call, which is planned for Wednesday, August 11th.
__________________________
1 This release sets forth certain combined financial information for Taboola and Connexity. Such financial information is a simple summation of results for Taboola and Connexity, and does not reflect pro forma financial results pursuant to Article 11 of Regulation S-X. Such pro forma financial results could differ materially from that set forth above.
About Taboola
Taboola powers recommendations for the open web, helping people discover things they may like. The company’s platform, powered by artificial intelligence, is used by digital properties, including websites, devices and mobile apps, to drive monetization and user engagement. Taboola has long-term partnerships with some of the top digital properties in the world, including CNBC, NBC News, Business Insider, The Independent and El Mundo. More than 13,000 advertisers use Taboola to reach over 500 million daily active users in a brand-safe environment. The company has offices in 18 cities worldwide, including New York and Tel Aviv.
Learn more at www.taboola.com and follow @taboola on Twitter.
Non-GAAP and Combined Financial Measures; Certain Limitations on Financial Information
This release sets forth certain combined financial information for Taboola and Connexity. Connexity’s financial information reflects its historical results combined (on a simple summation basis) with the results of Skimlinks for periods prior to May 2020, when it acquired Skimlinks. Such financial information is a simple summation of results for Taboola and Connexity, and does not reflect pro forma financial results pursuant to Article 11 of Regulation S-X. Such pro forma financial results could differ materially from that set forth above.
Historical financial information for Connexity presented in this report has not been audited or reviewed by Connexity’s independent auditor. The Connexity financial information for 2019 and 2020 is derived in part from their audited financial statements and then combined with financial information for Skimlinks for all periods prior to its acquisition by Connexity in May 2020. The Skimlinks financial information contained in the combined presentation is derived from its unaudited management reports.
Following the acquisition, accounting and audit procedures could identify adjustments to Connexity and/or Skimlinks historical financial information which could be material. In addition, Skimlinks reports substantially all of its revenue on a net basis after TAC, while the Connexity legacy business reports on a gross revenue basis. We have not yet determined whether we would make any changes to their accounting policies upon acquisition; any such change could change reported revenues for Connexity and could be material Accordingly, investors should be cautious in the reliance placed on such information.
As a private company, Connexity is not subject to the public company accounting standards and Securities and Exchange Commission accounting requirements that apply to Taboola. For these reasons, the Connexity financial information contained in this report may not be directly comparable to Taboola’s financial information and may be subject to material adjustment following the acquisition. However, Management believes it is important to provide the Connexity financial information to enable Taboola shareholders and others to better understand Connexity’s business and the pending business combination.
This press release includes ex-TAC Gross Profit and Adjusted EBITDA, which are non-GAAP financial measures. These non-GAAP financial measures are not measures of financial performance in accordance with GAAP and may exclude items that are significant in understanding and assessing the company’s financial results. Therefore, these measures should not be considered in isolation or as an alternative to revenues, gross profit, net income, cash flows from operations or other measures of profitability, liquidity or performance under GAAP. You should be aware that the company’s presentation of these measures may not be comparable to similarly-titled measures used by other companies.
The company believes non-GAAP financial measures provide useful information to management and investors regarding future financial and business trends relating to the company. The company believes that the use of these measures provides an additional tool for investors to use in evaluating operating results and trends and in comparing the company’s financial measures with other similar companies, many of which present similar non-GAAP financial measures to investors. Non-GAAP financial measures are subject to inherent limitations because they reflect the exercise of judgments by management about which items are excluded or included in calculating them.
ex-TAC Gross Profit. The company calculates ex-TAC Gross profit as Gross Profit adjusted to include Other cost of revenues. Connexity calculates ex-TAC Gross profit as Revenues less Traffic acquisition costs with respect to its Connexity legacy business, and its net revenues for its Skimlinks business (as Skimlinks reports substantially all of its revenue on a net basis after Traffic acquisition costs).
| Taboola | Connexity (1) | Combined Company | ||||||||||||||||
| Twelve months ended March 31, 2021 | 2021 (Guidance) | 2019 | 2020 | Twelve months ended March 31, 2021 | Twelve months ended March 31, 2021 | |||||||||||||
| $, thousands (except Guidance, in millions) | ||||||||||||||||||
| Revenues | $ | 1,212,497 | $1,298-$1,308 | $ | 158,382 | $ | 175,709 | $ | 188,091 | $ | 1,400,588 | |||||||
| Traffic acquisition costs | (793,199 | ) | ($832-$852) | (95,183 | ) | (98,123 | ) | (102,561 | ) | (895,760 | ) | |||||||
| Other cost of revenues | (63,078 | ) | ($80-$82) | (3,687 | ) | (3,982 | ) | (4,077 | ) | (67,155 | ) | |||||||
| Gross Profit | $ | 356,220 | $374-386 | $ | 59,512 | $ | 73,604 | $ | 81,453 | $ | 437,673 | |||||||
| Add back: Other cost of revenues | $ | 63,078 | $80-82 | $ | 3,687 | $ | 3,982 | $ | 4,077 | $ | 67,155 | |||||||
| ex-TAC Gross profit | $ | 419,298 | $456-$466 | $ | 63,199 | $ | 77,586 | $ | 85,530 | $ | 504,828 | |||||||
(1) Represents Connexity results combined with results for Skimlinks (which was acquired by Connexity in May 2020) for periods prior to its acquisition date.
Adjusted EBITDA. The company calculates Adjusted EBITDA as Net income (loss) before net financial expenses, income tax provision and depreciation and amortization, further adjusted to exclude share-based compensation and other noteworthy income and expense items such as certain merger or acquisition related costs, which may vary from period-to-period. We present Adjusted EBITDA for Connexity on the same basis: Net income (loss) before net financial expenses, income tax provision and depreciation and amortization, further adjusted to exclude share-based compensation and other noteworthy income and expense items such as certain merger or acquisition related costs and Discontinued activities which may vary from period-to-period.
| Taboola | Connexity (1) | Combined Company | |||||||||||||
| Twelve months ended March 31, 2021 | 2019 | 2020 | Twelve months ended March 31, 2021 | Twelve months ended March 31, 2021 | |||||||||||
| $, thousands | |||||||||||||||
| Net income (loss) | $ | 50,933 | $ | 8,600 | $ | 12,767 | $ | 28,967 | $ | 79,900 | |||||
| Adjusted to exclude the following | |||||||||||||||
| Financial expense (income) | $ | 3,999 | $ | 1,747 | $ | 5,869 | $ | 7,673 | $ | 11,672 | |||||
| Tax expenses (income) | $ | 12,721 | $ | 287 | $ | (8,491 | ) | $ | (6,835 | ) | $ | 5,886 | |||
| Depreciation and amortization | $ | 32,450 | $ | 6,872 | $ | 12,182 | $ | 14,437 | $ | 46,887 | |||||
| Share-based compensation expense | $ | 31,138 | $ | 40 | $ | 129 | $ | 129 | $ | 31,267 | |||||
| M&A cost | $ | 10,215 | $ | 900 | $ | 2,663 | $ | 3,634 | $ | 13,849 | |||||
| Discontinued activities | $ | – | $ | 9,736 | $ | 12,639 | $ | (3,645 | ) | $ | (3,645 | ) | |||
| Adjusted EBITDA | $ | 141,456 | $ | 28,182 | $ | 37,758 | $ | 44,360 | $ | 185,816 | |||||
(1) Represents Connexity results combined with results for Skimlinks (which was acquired by Connexity in May 2020) for periods prior to its acquisition date.
Disclaimer – Forward-Looking Statements
Taboola (the “Company”) may, in this communication, make certain statements that are not historical facts and relate to analysis or other information which are based on forecasts or future or results. Examples of such forward-looking statements include, but are not limited to, statements regarding the expected timing and impact of the acquisition, future prospects, product development and business strategies and our projections for future periods. Words such as “expect,” “estimate,” “project,” “budget,” “forecast,” “anticipate,” “intend,” “plan,” “may,” “will,” “could,” “should,” “believes,” “predicts,” “potential,” “continue,” and similar expressions are intended to identify such forward-looking statements but are not the exclusive means for identifying such statements. By their very nature, forward-looking statements involve inherent risks and uncertainties, both general and specific, and there are risks that the predictions, forecasts, projections and other forward-looking statements will not be achieved. You should understand that a number of factors could cause actual results to differ materially from the plans, objectives, expectations, estimates and intentions expressed in such forward-looking statements, including the risks set forth under “Risk Factors” in our Registration Statement on Form F-4 and our other SEC filings. The Company cautions readers not to place undue reliance upon any forward-looking statements, which speak only as of the date made. The Company does not undertake or accept any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements to reflect any change in its expectations or any change in events, conditions or circumstances on which any such statement is based.
Artificial Intelligence
Data Center Chip Market Size was Valued at USD 11.7 Billion in 2022 and is Expected to Reach USD 45.3 Billion by 2032 at a CAGR of 14.6% | Valuates Reports
BANGALORE, India, July 26, 2024 /PRNewswire/ — Data Center Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, Others), By Data Center Size (Small and Medium Size, Large Size), By Industry Verticals (BFSI, Manufacturing, Government, IT and Telecom, Retail, Transportation, Energy and Utilities, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032.
The Data Center Chip Market was valued at USD 11.7 Billion in 2022, and is estimated to reach USD 45.3 Billion by 2032, growing at a CAGR of 14.6% from 2023 to 2032.
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Major Factors Driving the Growth of Data Center Chip Market
Because of the growing need for data processing and storage solutions brought about by the quick development of cloud computing, artificial intelligence, and big data analytics, the data center chip market is expanding significantly. High-performance chips are necessary for data centers to process massive volumes of data quickly and efficiently. As a result, advances in chip technology, including CPUs, GPUs, and specialist AI processors, have been made. The need for more resilient and scalable data center infrastructure is fueled in part by the expansion of digital services and Internet of Things (IoT) devices. The market is expanding due to key areas including Asia-Pacific, with its investments in technology and fast digital transformation, and North America, with its top tech businesses and vast data center networks.
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TRENDS INFLUENCING THE GROWTH OF THE DATA CENTER CHIP MARKET:
In data centers, Graphics Processing Units (GPUs) are essential for speeding up computing operations and data processing. They are perfect for managing workloads related to artificial intelligence (AI), machine learning, and large-scale data analytics because of their parallel processing capabilities. The need for GPUs in data centers is growing as these technologies become increasingly essential to corporate operations. Businesses are purchasing GPUs in order to increase the effectiveness of their data processing, lower latency, and boost overall performance. The need for data center chips is being driven by the increasing reliance on GPUs for sophisticated computing activities, which is considerably contributing to the market’s rise. This need is further increased by the growing use of AI and machine learning in a variety of sectors, which puts GPUs at the forefront of the data center semiconductor industry.
Compared to general-purpose chips, Application Specific Integrated Circuits (ASICs) provide better performance and efficiency since they are designed specifically for a given application. ASICs are extensively utilized in data centers for specific tasks including networking, data compression, and encryption. ASICs are becoming more and more common as a result of the growth of cloud computing, big data analytics, and blockchain technology, which has increased demand for high-performance, energy-efficient processors. Their capacity to provide tailored performance for certain applications aids data centers in better workload management, power conservation, and operating expense reduction. The market is expanding as a result of the increased preference for ASICs in data centers, which is fueling the need for specialized data center chips.
Large data centers are important users of data center chips; they are run by well-known IT firms and cloud service providers. To manage enormous volumes of data and provide a wide range of services, these facilities need a great deal of processing power and sophisticated computing skills. High-performance data center chips are becoming more and more necessary as a result of the growth of massive data centers and the rising demand for online streaming, cloud services, and digital transactions. These chips are necessary to ensure effective data management, processing, and storage, which helps big data centers fulfill the increasing expectations of its clientele. Large data center proliferation is anticipated to considerably boost the data center chip industry as the digital economy continues to grow.
Data centers are becoming more and more important to the Banking, Financial Services, and Insurance (BFSI) industry as a means of safely and effectively managing high transaction volumes, consumer data, and financial records. The need for sophisticated data center processors is being driven by the sector’s requirement for real-time data processing, high-performance computing, and strong security measures. BFSI organizations may improve their operational efficiency, guarantee data integrity, and deliver superior client services by utilizing data centers fitted with robust chips. The BFSI sector’s need for data center chips is being driven by the increasing use of online banking, digital banking, and financial analytics tools, all of which increase the requirement for sophisticated data center infrastructure.
The market for data center chips is significantly influenced by the cloud computing industry’s explosive growth. There is a growing need for scalable, effective, and high-performance data center infrastructure as more companies move their operations to the cloud. In order to handle enormous volumes of data, facilitate virtualization, and guarantee flawless service delivery, cloud service providers need sophisticated data center chips. Sturdy data center chips are becoming more and more necessary as cloud-based solutions become more and more popular. Benefits like cost savings, flexibility, and scalability are driving this trend. In places like North America and Europe, where cloud adoption rates are high and data center chip demand is rising rapidly, this tendency is especially significant.
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DATA CENTER CHIP MARKET SHARE
In 2022, North America gained a sizable portion of the market.
In 2022, the GPU made up the largest portion of the market share.
Throughout the projection period, large data centers are expected to gain a significant portion.
The BFSI market is anticipated to be one of the most profitable markets.
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Key Companies:
Advanced Micro Devices IncTaiwan Semiconductor Manufacturing Company LimitedBroadcomHuawei Technologies Co LtdIntel CorporationNVidia CorporationSamsung Electronics Co LtdQualcomm Technologies IncGlobalFoundriesARM LIMITED (SOFTBANK GROUP CORP.)Purchase Chapters @ https://reports.valuates.com/request/chaptercost/ALLI-Auto-2B326/Data_Center_Chip_Market
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Artificial Intelligence
Industry 4.0 Market to Surpass USD 513.89 Billion by 2031 with Automation Surge | SkyQuest Technology
WESTFORD, Mass., July 26, 2024 /PRNewswire/ — According to SkyQuest, the global Industry 4.0 Market size was valued at USD 133.05 billion in 2022 and is poised to grow from USD 154.6 billion in 2023 to USD 513.89 billion by 2031, growing at a CAGR of 16.2% during the forecast period (2024-2031).
Industry 4.0 or the fourth industrial revolution emphasizes the use of automation and interconnectivity. Employment of advanced technologies such as artificial intelligence, machine learning, robotics, and connected devices to improve the productivity and efficiency of industries. Rapid digitization and advancements in technology are forecasted to bolster the Industry 4.0 market growth over the coming years. The global Industry 4.0 market is segmented into technology, industry vertical, and region.
Download a detailed overview:
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Industry 4.0 Market Overview:
Report Coverage
Details
Market Revenue in 2023
$ 154.6 billion
Estimated Value by 2031
$ 513.89 billion
Growth Rate
Poised to grow at a CAGR of 16.2%
Forecast Period
2024–2031
Forecast Units
Value (USD Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
Technology, Industry and Region
Geographies Covered
North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.
Report Highlights
Internet of Things (IoT) technology takes centerstage for Industry 4.0 adoption
Key Market Opportunities
Adoption of smart manufacturing and additive manufacturing practices
Key Market Drivers
Rising demand for automation across all industry verticals
Segments covered in Industry 4.0 Market are as follows:
TechnologyRobots (Traditional Industrial Robots {Articulated robots, Cartesian Robots, Selective Compliance Assembly Robot Arm (SCARA), Cylindrical Robots, Others}, Collaborative Robots), Blockchain in Manufacturing, Industrial Sensors (Level Sensors, Temperature Sensors, Flow Sensors, Position Sensors, Pressure Sensors, Force Sensors, Humidity & Moisture Sensors, Gas Sensors), Industrial 3D Printing, Machine Vision (Camera {Digital Camera, Smart Camera}, Frame Grabbers, Optics, and LED Lighting, Processor and Software), HMI (Offering {Hardware [Basic HMI, Advanced Panel-based HMI, Advanced PC-based HMI, Others], Software [On-premises HMI, Cloud-based HMI], Services}), Configuration ({Embedded HMI, Standalone HMI}, Technology {Motion HMI, Bionic HMI, Tactile HMI, Acoustic HMI}, End-user Industry {Process industries [Oil & Gas, Food & beverages, Pharmaceuticals, Chemicals, Energy & power, Metals & mining, Water & wastewater, Others], Discrete industry [Automotive, Aerospace & defense, Packaging, Medical devices, Semiconductor & electronics, Others]}), AI In Manufacturing (Offering {Hardware [Processor MPU, GPU, FPGA, ASIC, Memory, Network], Software [AI solutions- | On-premises, Cloud |, AI platform- | Machine learning framework, Application program interface |], Services [Deployment & integration, Support & maintenance]}, Technology {Machine learning [Deep learning, Supervised learning, Reinforcement learning, Reinforcement learning, Others], Natural language processing [Context-aware computing, Computer vision]}, Application {Predictive maintenance and machinery inspection, Material movement, Production planning, Field services, Quality control, Cybersecurity, Industrial robots, Reclamation}, Digital Twin {Technology [Internet of Things (IOT), Blockchain, Artificial intelligence & machine learning, Artificial intelligence & machine learning, Big data analytics, 5G], Usage Type [Product digital twin, Process digital twin, System digital twin], Application [Product design & development, Performance monitoring, Predictive maintenance, Inventory management, Business optimization, Others]}, Automated Guided Vehicles (AGV) {Type [Tow vehicles, Unit load carriers, Pallet trucks, Assembly line vehicles, Forklift trucks, Others], Navigation Technology [Laser guidance, Magnetic guidance, Inductive guidance, Optical tape guidance, Vision guidance, Others]}, Machine Condition Monitoring {Monitoring Technique [Vibration monitoring, Embedded systems, Vibration analyzers and meters, Thermography, Oil analysis, Corrosion monitoring, Ultrasound emission, Motor current analysis], Offering [Hardware – Vibration sensors, Accelerometers, Tachometers, Infrared sensors, Spectrometers, Ultrasound detectors, Spectrum analyzers, Corrosion probes], Software [Data integration, Diagnostic reporting, Order tracking analysis, Parameter calculation], Deployment Type [On-premises deployment, Cloud deployment], Monitoring Process [Online condition monitoring, Portable condition monitoring]})IndustryManufacturing, Automotive, Energy, Medical, Semiconductor & Electronics, Food & Beverage, Oil & Gas, Aerospace, Metals & Mining, Chemicals, and OthersRequest Free Customization of this report:
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Internet of Things (IoT) Technology to Remain Indispensable for Industry 4.0
Internet of Things (IoT) remains the most crucial technology in global Industry 4.0 market growth owing to its role in interconnectivity and automation across different verticals. Advancements in connectivity technologies and rising use of automation in different industry verticals are also estimated to help this sub-segment gain an impressive market share. Surging demand for predictive maintenance will also boost the adoption of IoT technology in the long run.
Advanced robotic technologies are also slated to gain traction in the Industry 4.0 market. Growing acceptance of robots and high investments in advancements of robotic technologies are also slated to create new opportunities for providers of advanced robotics in the Industry 4.0 market. The low margin of error and the immense scope of automation are key benefits of robotics that help this sub-segment flourish.
Artificial intelligence (AI) will be another popular technology in the Industry 4.0 world going forward. Increasing demand for continuous monitoring, real-time analytics, and predictive maintenance are slated to help the demand for artificial intelligence in the future. The rising use of IoT devices will also boost the demand for cloud computing technology in the long run.
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Manufacturing Vertical to Spearhead Industry 4.0 Market Development
The manufacturing vertical is estimated to be at the forefront when it comes to Industry 4.0 adoption. The surge in use of robotics, advanced technologies, and smart manufacturing practices sets the tone for Industry 4.0 in this industry vertical. High emphasis on improving manufacturing efficiency, reducing downtime, and maximizing profits are all contributing to the high market share of this sub-segment.
The automotive industry is another vertical where Industry 4.0 market players could invest to get good returns. The high adoption of advanced robotics and other smart manufacturing technologies to maximize production allows this sub-segment to become a crucial one for Industry 4.0 providers. The aerospace and defense industry vertical also shows a lot of promise for Industry 4.0 companies going forward. Growing demand for advanced manufacturing techniques and technologies to create complex aerospace components is helping Industry 4.0 market growth via this segment.
The oil & gas industry is also estimated to embrace Industry 4.0 trend with open hands as they try to improve their operations and promote better resource utilization. High demand for predictive maintenance to reduce downtime and the growing adoption of digital oilfield solutions are estimated to bolster Industry 4.0 market development in the long run.
To sum it up, the application scope for Industry 4.0 is endless as automation and digitization pick up pace around the world. High investments in development of IoT and AI technologies will create better opportunities for Industry 4.0 companies in the future. The manufacturing industry will remain the top revenue generating sub-segment and more opportunities for aerospace, automotive, and oil & gas verticals will be seen over the coming years.
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Artificial Intelligence
Generative AI Cybersecurity Market worth $40.1 billion by 2030 – Exclusive Report by MarketsandMarkets™
CHICAGO, July 26, 2024 /PRNewswire/ — The Generative AI cybersecurity Market is anticipated to experience substantial expansion, ascending from a value of USD 7.1 billion in 2024 to a substantial worth of USD 40.1 billion by the year 2030, according to a new report by MarketsandMarkets™. This growth trajectory reflects a robust compound annual growth rate (CAGR) of 33.4% over the forecast period.
Browse in-depth TOC on “Generative AI cybersecurity Market”
350 – Tables 60 – Figures450 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2030
Base year considered
2023
Forecast period
2024–2030
Forecast units
USD (Million)
Segments Covered
Offering, Generative AI-based Cybersecurity, Cybersecurity for Generative AI, Security Type, End-user, and Region
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
Microsoft (US), IBM (US), Google (US), SentinelOne (US), AWS (US), NVIDIA (US), Cisco (US), CrowdStrike (US), Fortinet (US), Zscaler (US), Trend Micro (Japan), Palo Alto Networks (US), BlackBerry (Canada), Darktrace (UK), F5 (US), Okta (US), Sangfor (China), SecurityScorecard (US), Sophos (UK), Broadcom (US), Trellix (US), Veracode (US), LexisNexis (US), Abnormal Security (US), Adversa AI (Israel), Aquasec (US), BigID (US), Checkmarx (US), Cohesity (US), Credo AI (US), Cybereason (US), DeepKeep (Israel), Elastic NV (US), Flashpoint (US), Lakera (US), MOSTLY AI (Austria), Recorded Future (US), Secureframe (US), Skyflow (US), SlashNext (US), Snyk (US), Tenable (US), TrojAI (Canada), VirusTotal (Spain), XenonStack (UAE), and Zerofox (US).
This dramatic surge is being fueled by a number of causes. The primary growth driver is the enhancement of existing cybersecurity tools through generative AI algorithms by improving anomaly detection, automating threat hunting and penetration testing, and providing complex simulations for security testing purposes. These techniques enable various cyber-attack scenarios that can be simulated using the Generative Adversarial Networks (GANs), thus enabling the development of better preparedness and response strategies. On the other hand, it requires special cyber security tools to protect generative AI workloads against unique vulnerabilities such as adversarial attacks, model inversions and LLM poisoning. These tools include differential privacy and secure multi-party computation that are integrated into AI systems for training and deployment data protection purposes.
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Generative AI apps security segment will account for largest market share during the forecast period.
The cybersecurity landscape is rapidly changing for generative AI apps, which are already making their way into chatbots, content creation tools like word processors, and personalized recommendation systems. According to McAfee, 55% of these programs have had security breaches. This highlights the dire need for stronger protective measures from unauthorized access. Several generative AI applications that use adversarial techniques to force the desired reaction out of intelligent machines.
Therefore, there is a pressing demand in the number of developers who ensure that such machines are made more robust through techniques like adversarially trained models and resistant architectures. Finally, the usage of secure enclaves plus hardware-based security measures is growing off late, mainly aimed at safeguarding vulnerable AI computations from being tampered with. For instance, OpenAI has very strict security rules meant to protect GPT models thereby ensuring data integrity and user privacy.
By end-user, government & defense sector is poised to account for larger market share in 2024.
Government as well as defense industries are increasingly resorting to generative AI for cyber security purposes due to the urgency of protecting sensitive information and national security. According to a recent CSIS report, AI is being integrated into the cybersecurity framework of 43% of government agencies which resultantly improves their ability to identify and counter threats. As an example, the United States Department of Defense has started using artificial intelligence (AI) based security solutions backed by generative AI that can create fictitious cyber-attacks, thereby providing them with enhanced preparedness against advanced types of threats.
This technology also helps these sectors handle and analyze large volumes of data more effectively, giving valuable insights that will enable them prevent or mitigate cyber threats. This trend demonstrates an increasing reliance on generative AI in fortifying cyber security measures so as to ensure that critical infrastructure and sensitive data remain secure in today’s intricate digital landscape.
By region, North America to hold the largest share by market value in 2024.
In 2024, North America will be the leading region based on market share due to its excellent technology infrastructure, substantial investments in AI-enabled cybersecurity and the presence of key players. Major cyber security research universities and tech companies such as Google, AWS, CrowdStrike, SentinelOne and IBM are present in this area, pushing them on the forefront of potent risk management technologies and generative AI tools for threat detection. For example, IBM’s security platform powered by AI has improved detection rates for threats up by 40%, thus proving the relevance of AI technology to enhancing cybersecurity.
Moreover, legislative instruments such as Cybersecurity Information Sharing Act (CISA) are being put in place to promote advanced cybersecurity technologies. As internet attacks continue getting more complicated, North American enterprises prefer generative artificial intelligence (AI), so as to enhance their safety measures pertaining to personal data and digital infrastructure.
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Top Key Companies in Generative AI cybersecurity Market:
The major players in the generative AI cybersecurity market include Palo Alto Networks (US), AWS (US), CrowdStrike (US), SentinelOne (US), and Google (US), along with SMEs and startups such as MOSTLY AI (Austria), XenonStack (UAE), BigID (US), Abnormal Security (US), and Adversa AI (Israel).
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