Artificial Intelligence

Aterian Reports First Quarter 2023 Results

Published

1 year ago

May 9, 2023

<!– Name:DistributionId Value:8835481 –> <!– Name:EnableQuoteCarouselOnPnr Value:False –> <!– Name:IcbCode Value:9500 –> <!– Name:CustomerId Value:1195091 –> <!– Name:HasMediaSnippet Value:false –> <!– Name:AnalyticsTrackingId Value:3da29940-9719-4214-9ff7-b4b472b057d4 –>

Reports First Quarter 2023 Net Revenue of $34.9 Million

Announces Headcount Reduction Geared to Achieve Adjusted EBITDA Profitability Target

NEW YORK, May 09, 2023 (GLOBE NEWSWIRE) — Aterian, Inc. (Nasdaq: ATER) (“Aterian” or the “Company”) today announced results for the first quarter ended March 31, 2023.

First Quarter Highlights

First quarter 2023 net revenue declined 16.3% to $34.9 million, compared to $41.7 million in the first quarter of 2022.
First quarter 2023 gross margin declined to 54.8%, compared to 56.6% in the first quarter of 2022, primarily reflecting the impact of our strategy of liquidating high-cost inventory.
First quarter 2023 contribution margin declined to 5.9% from 9.2% in the first quarter of 2022, primarily reflecting the impact of our strategy of liquidating high-cost inventory.
First quarter 2023 operating loss improved to $(25.0) million compared to a loss of $(36.3) million in the first quarter of 2022. First quarter 2023 operating loss includes ($2.3) million of non-cash stock compensation and a non-cash loss on impairment of intangibles of ($16.7) million, while first quarter 2022 operating loss included a gain of $2.8 million from the net change in fair value and settlement of earn-out liabilities, ($29.0) million of impairment loss on goodwill, and ($2.9) million of non-cash stock compensation.
First quarter 2023 net loss of $(25.8) million decreased from $(42.8) million loss in the first quarter of 2022. First quarter 2023 net loss includes ($2.3) million of non-cash stock compensation, a non-cash loss on impairment of intangibles of ($16.7) million, and a gain on fair value of warrant liability of $0.4 million, while first quarter 2022 net loss included a gain of $2.8 million from the net change in fair value and settlement of earn-out liabilities, ($29.0) million of impairment loss on goodwill, and ($2.9) million of non-cash stock compensation, a gain on extinguishment of debt of $2.0 million and ($7.7) million in net charges from the changes in fair-value of warrants and initial issuance of equity.
First quarter 2023 adjusted EBITDA loss improved to $(4.3) million from $(4.5) million in the first quarter of 2022.
Total cash balance at March 31, 2023 was $33.9 million.

“Despite weakness in consumer demand, we are continuing to execute on our goal of becoming adjusted EBITDA profitable in the second half of this year,” commented Yaniv Sarig, Co-Founder and Chief Executive Officer of Aterian. “To that end today we announced a headcount reduction that will save an annualized $6 million toward our target of adjusted EBITDA profitability. It is a difficult decision but one that will put Aterian on a better footing with a solid balance sheet. This cost savings coupled with our portfolio’s market share position will allow us to build forward with emphasis and focus on both growth and profitability.”

Headcount Reduction

The Company plans to reduce expenses by implementing a reduction in its current workforce leading to approximately $6.0 million of annualized savings. This headcount reduction will impact approximately 70 employees and 30 contractors, primarily in the Philippines. The reduction in headcount is part of the Company’s strategy to increase efficiency and to drive focus as part of its second half 2023 adjusted EBITDA profitability goal. The Company expects to substantially complete the reduction in headcount by the end of the second quarter of 2023. The Company expects to recognize restructuring charges in connection with the headcount reduction plan, primarily from severance, of between $1.0 million to $1.3 million. The Company expects the charges will be recognized primarily in the second quarter of 2023, with the majority of such charges anticipated to be paid by the end of the third quarter of 2023.

As part of this headcount reduction, our Chief Supply Chain Officer, Michal Chaouat-Fix, will be transitioning away from the Company. Arturo Rodriguez, our Chief Financial Officer, will also assume the additional responsibilities of supply chain and operations as our Interim Chief Operating Officer. In addition, Tim Stanton, our Chief E-Commerce Officer, will transition away from the Company, Phil Lepper, our Senior Vice President of Revenue will assume Tim’s responsibilities.

Second Quarter 2023 & Second Half of 2023 Outlook

For the second quarter of 2023, taking into account the current global environment and inflation, we believe that net revenue will be between $37 million and $44 million. For the second quarter of 2023, the Company expects an Adjusted EBITDA loss of between $(5.2) million to $(6.2) million including the restructuring charges from our headcount reductions.

As a result of the headcount reduction, the Company is reconfirming its prior guidance of expecting to be Adjusted EBITDA profitable in the second half of 2023.

Non-GAAP Financial Measures

For more information on our non-GAAP financial measures and a reconciliation of GAAP to non-GAAP measures, please see the “Non-GAAP Financial Measures” section below. The most directly comparable GAAP financial measure for EBITDA and Adjusted EBITDA is net loss and we expect to report a net loss for the three months ending March 31, 2023 and the second half of 2023, due primarily to interest expense and stock-based compensation expense. We are unable to reconcile the forward-looking statements of EBITDA and Adjusted EBITDA in this press release to their nearest GAAP measures because the nearest GAAP financial measures are not accessible on a forward-looking basis and reconciling information is not available without unreasonable effort.

Webcast and Conference Call Information

Aterian will host a live conference call to discuss financial results today, May 9, 2023, at 5:00 p.m. Eastern Time, which will be accessible by telephone and the internet. To access the call, participants from within the U.S. should dial (833) 636-1351 and participants from outside the U.S. should dial (412) 902-4267 and ask to be joined into the Aterian, Inc. call. Participants may also access the call through a live webcast at https://ir.aterian.io. The archived online replay will be available for a limited time after the call in the Investors Relations section of the Aterian website.

About Aterian, Inc.

Aterian, Inc. (Nasdaq: ATER), is a leading technology-enabled consumer products platform that builds, acquires, and partners with best-in-class e-commerce brands by harnessing proprietary software and an agile supply chain to create top selling consumer products. The Company’s cloud-based platform, Artificial Intelligence Marketplace Ecommerce Engine (AIMEE™), leverages machine learning, natural language processing and data analytics to streamline the management of products at scale across the world’s largest online marketplaces, including Amazon, Shopify and Walmart. Aterian has numerous owned and operated brands and sells products in multiple categories, including home and kitchen appliances, health and wellness, beauty and consumer electronics.

Forward Looking Statements

All statements other than statements of historical facts included in this press release that address activities, events or developments that we expect, believe or anticipate will or may occur in the future are forward-looking statements including, in particular, the statements regarding our goal to achieve adjusted EBITDA profitability in the second half of 2023, our portfolio’s market share position and the Company’s strategy of increasing efficiency and driving focus. These forward-looking statements are based on management’s current expectations and beliefs and are subject to a number of risks and uncertainties and other factors, all of which are difficult to predict and many of which are beyond our control and could cause actual results to differ materially and adversely from those described in the forward-looking statements. These risks include, but are not limited to, those related to the global shipping disruptions, our ability to continue as a going concern, our ability to meet financial covenants with our lenders, our ability to create operating leverage and efficiency when integrating companies that we acquire, including through the use of our team’s expertise, the economies of scale of our supply chain and automation driven by our platform; those related to our ability to grow internationally and through the launch of products under our brands and the acquisition of additional brands; those related to the impact of COVID-19, including its impact on consumer demand, our cash flows, financial condition, forecasting and revenue growth rate; our supply chain including sourcing, manufacturing, warehousing and fulfillment; our ability to manage expenses, working capital and capital expenditures efficiently; our business model and our technology platform; our ability to disrupt the consumer products industry; our ability to maintain and to grow market share in existing and new product categories; our ability to continue to profitably sell the SKUs we operate; our ability to generate profitability and stockholder value; international tariffs and trade measures; inventory management, product liability claims, recalls or other safety and regulatory concerns; reliance on third party online marketplaces; seasonal and quarterly variations in our revenue; acquisitions of other companies and technologies and our ability to integrate such companies and technologies with our business; our ability to continue to access debt and equity capital (including on terms advantageous to the Company) and the extent of our leverage; and other factors discussed in the “Risk Factors” section of our most recent periodic reports filed with the Securities and Exchange Commission (“SEC”), all of which you may obtain for free on the SEC’s website at www.sec.gov.

Although we believe that the expectations reflected in our forward-looking statements are reasonable, we do not know whether our expectations will prove correct. You are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof, even if subsequently made available by us on our website or otherwise. We do not undertake any obligation to update, amend or clarify these forward-looking statements, whether as a result of new information, future events or otherwise, except as may be required under applicable securities laws.

Investor Contact:

Ilya Grozovsky
Director of Investor Relations & Corp. Development
Aterian, Inc.
[email protected]
917-905-1699
aterian.io

ATERIAN, INC. Consolidated Balance Sheets *(in thousands, except share and per share data)*
	December 31, 2022	March 31, 2023
ASSETS
Current assets:
Cash	$ 43,574	$ 33,911
Accounts receivable, net	4,515	3,486
Inventory	43,666	40,378
Prepaid and other current assets	8,261	6,870
Total current assets	100,016	84,645
Property and equipment, net	853	830
Other intangibles, net	54,757	36,392
Other non-current assets	813	753
Total assets	$ 156,439	$ 122,620
LIABILITIES AND STOCKHOLDERS’ EQUITY
Current Liabilities:
Credit facility	$ 21,053	$ 19,103
Accounts payable	16,035	8,955
Seller notes	1,693	1,303
Accrued and other current liabilities	14,254	13,045
Total current liabilities	53,035	42,406
Other liabilities	1,452	1,447
Total liabilities	54,487	43,853
Commitments and contingencies (Note 9)
Stockholders’ equity:
Common stock, $0.0001 par value, 500,000,000 shares authorized and 80,752,290 and 81,134,161 shares outstanding at December 31, 2022 and March 31, 2023, respectively	8	8
Additional paid-in capital	728,339	730,825
Accumulated deficit	(625,251)	(651,051)
Accumulated other comprehensive loss	(1,144)	(1,015)
Total stockholders’ equity	101,952	78,767
Total liabilities and stockholders’ equity	$ 156,439	$ 122,620

ATERIAN, INC. Consolidated Statements of Operations *(in thousands, except share and per share data)*
	Three Months Ended March 31,
	2022	2023
Net revenue	$ 41,673	$ 34,879
Cost of good sold	18,066	15,782
Gross profit	23,607	19,097
Operating expenses:
Sales and distribution	22,974	20,226
Research and development	1,144	1,247
General and administrative	9,541	5,959
Impairment loss on goodwill	29,020	—
Impairment loss on intangibles	—	16,660
Change in fair value of contingent earn-out liabilities	(2,775)	—
Total operating expenses	59,904	44,092
Operating loss	(36,297)	(24,995)
Interest expense, net	802	371
Gain on extinguishment of seller note	(2,012)	—
Loss on initial issuance of equity	5,835	—
Change in fair value of warrant liability	1,879	354
Other (income) expense, net	(25)	54
Loss before income taxes	(42,776)	(25,774)
Provision for income taxes	—	26
Net loss	$ (42,776)	$ (25,800)
Net loss per share, basic and diluted	$ (0.78)	$ (0.34)
Weighted-average number of shares outstanding, basic and diluted	55,141,448	76,732,539

ATERIAN, INC. Consolidated Statements of Cash Flows *(in thousands)*
	Three Months Ended March 31,
	2022	2023
OPERATING ACTIVITIES:
Net loss	($42,776)	($25,800)
Adjustments to reconcile net loss to net cash used in operating activities:
Depreciation and amortization	1,846	1,762
Provision for (recovery of) sales returns	109	(223)
Amortization of deferred financing cost and debt discounts	106	106
Stock-based compensation	2,865	2,317
Gain from decrease of contingent earn-out liability fair value	(2,775)	—
Change in inventory provisions	—	(1,023)
Loss in connection with the change in warrant fair value	1,879	354
Gain in connection with settlement of note payable	(2,012)	—
Loss on initial issuance of equity	5,835	—
Impairment loss on goodwill	29,020	—
Impairment loss on intangibles	—	16,660
Changes in assets and liabilities:
Accounts receivable	4,608	1,028
Inventory	(12,380)	4,312
Prepaid and other current assets	410	751
Accounts payable, accrued and other liabilities	95	(7,661)
Cash used in operating activities	(13,170)	(7,417)
INVESTING ACTIVITIES:
Purchase of fixed assets	(16)	(33)
Purchase of Step and Go assets	—	(125)
Cash used in investing activities	(16)	(158)
FINANCING ACTIVITIES:
Proceeds from equity offering, net of issuance costs	27,007	—
Repayments on note payable to Smash	(1,084)	(398)
Borrowings from MidCap credit facilities	30,357	20,549
Repayments for MidCap credit facilities	(33,845)	(22,602)
Insurance obligation payments	(719)	(534)
Cash provided (used) by financing activities	21,716	(2,985)
Foreign currency effect on cash, cash equivalents, and restricted cash	(171)	129
Net change in cash and restricted cash for the year	8,359	(10,431)
Cash and restricted cash at beginning of year	38,315	46,629
Cash and restricted cash at end of year	$ 46,674	$ 36,198
RECONCILIATION OF CASH AND RESTRICTED CASH:
Cash	44,281	33,911
Restricted Cash—Prepaid and other current assets	2,264	2,158
Restricted cash—Other non-current assets	129	129
TOTAL CASH AND RESTRICTED CASH	$ 46,674	$ 36,198

SUPPLEMENTAL DISCLOSURES OF CASH FLOW INFORMATION
Cash paid for interest	$ 357	$ 538
NON-CASH INVESTING AND FINANCING ACTIVITIES:
Non-cash consideration paid to contractors	$ —	$ 321
Fair value of warrants issued in connection with equity offering	$ 18,982	$ —
Issuance of common stock for settlement of seller note	$ 767	$ —
Equity fundraising cost not paid	$ 166	$ —

Non-GAAP Financial Measures

We believe that our financial statements and the other financial data included in this Quarterly Report have been prepared in a manner that complies, in all material respects, with generally accepted accounting principles in the U.S. (“GAAP”). However, for the reasons discussed below, we have presented certain non-GAAP measures herein.

We have presented the following non-GAAP measures to assist investors in understanding our core net operating results on an on-going basis: (i) Contribution Margin; (ii) Contribution margin as a percentage of net revenue; (iii) EBITDA (iv) Adjusted EBITDA; and (v) Adjusted EBITDA as a percentage of net revenue. These non-GAAP financial measures may also assist investors in making comparisons of our core operating results with those of other companies.

As used herein, Contribution margin represents gross profit less e-commerce platform commissions, online advertising, selling and logistics expenses (included in sales and distribution expenses). As used herein, Contribution margin as a percentage of net revenue represents Contribution margin divided by net revenue. As used herein, EBITDA represents net loss plus depreciation and amortization, interest expense, net and provision for income taxes. As used herein, Adjusted EBITDA represents EBITDA plus stock-based compensation expense, changes in fair-market value of earn-outs, profit and loss impacts from the issuance of common stock and/or warrants, changes in fair-market value of warrant liability, litigation settlements, impairment on goodwill and intangibles, gain from extinguishment of debt and other expenses, net. As used herein, Adjusted EBITDA as a percentage of net revenue represents Adjusted EBITDA divided by net revenue. Contribution margin, EBITDA and Adjusted EBITDA do not represent and should not be considered as alternatives to loss from operations or net loss, as determined under GAAP.

We present Contribution margin and Contribution margin as a percentage of net revenue, as we believe each of these measures provides an additional metric to evaluate our operations and, when considered with both our GAAP results and the reconciliation to gross profit, provides useful supplemental information for investors. Specifically, Contribution margin and Contribution margin as a Non-GAAP Financial Measure percentage of net revenue are two of our key metrics in running our business. All product decisions made by us, from the approval of launching a new product and to the liquidation of a product at the end of its life cycle, are measured primarily from Contribution margin and/or Contribution margin as a percentage of net revenue. Further, we believe these measures provide improved transparency to our stockholders to determine the performance of our products prior to fixed costs as opposed to referencing gross profit alone.

In the reconciliation to calculate contribution margin, we add e-commerce platform commissions, online advertising, selling and logistics expenses (“sales and distribution variable expense”) to gross profit to inform users of our financial statements of what our product profitability is at each period prior to fixed costs (such as sales and distribution expenses such as salaries as well as research and development expenses and general administrative expenses). By excluding these fixed costs, we believe this allows users of our financial statements to understand our products performance and allows them to measure our products performance over time.

We present EBITDA, Adjusted EBITDA and Adjusted EBITDA as a percentage of net revenue because we believe each of these measures provides an additional metric to evaluate our operations and, when considered with both our GAAP results and the reconciliation to net loss, provide useful supplemental information for investors. We use these measures with financial measures prepared in accordance with GAAP, such as sales and gross margins, to assess our historical and prospective operating performance, to provide meaningful comparisons of operating performance across periods, to enhance our understanding of our operating performance and to compare our performance to that of our peers and competitors. We believe EBITDA, Adjusted EBITDA and Adjusted EBITDA as a percentage of net revenue are useful to investors in assessing the operating performance of our business without the effect of non-cash items.

Contribution margin, Contribution margin as a percentage of net revenue, EBITDA, Adjusted EBITDA and Adjusted EBITDA as a percentage of net revenue should not be considered in isolation or as alternatives to net loss, loss from operations or any other measure of financial performance calculated and prescribed in accordance with GAAP. Neither EBITDA, Adjusted EBITDA or Adjusted EBITDA as a percentage of net revenue should be considered a measure of discretionary cash available to us to invest in the growth of our business. Our Contribution margin, Contribution margin as a percentage of net revenue, EBITDA, Adjusted EBITDA and Adjusted EBITDA as a percentage of net revenue may not be comparable to similar titled measures in other organizations because other organizations may not calculate Contribution margin, Contribution margin as a percentage of net revenue, EBITDA, Adjusted EBITDA or Adjusted EBITDA as a percentage of net revenue in the same manner as we do. Our presentation of Contribution margin and Adjusted EBITDA should not be construed as an inference that our future results will be unaffected by the expenses that are excluded from such terms or by unusual or non-recurring items.

We recognize that EBITDA, Adjusted EBITDA and Adjusted EBITDA as a percentage of net revenue, have limitations as analytical financial measures. For example, neither EBITDA nor Adjusted EBITDA reflects:

our capital expenditures or future requirements for capital expenditures or mergers and acquisitions;
the interest expense or the cash requirements necessary to service interest expense or principal payments, associated with indebtedness;
depreciation and amortization, which are non-cash charges, although the assets being depreciated and amortized will likely have to be replaced in the future, or any cash requirements for the replacement of assets;
changes in cash requirements for our working capital needs; or
changes in fair value of contingent earn-out liabilities, warrant liabilities, and amortization of inventory step-up from acquisitions (included in cost of goods sold).

Additionally, Adjusted EBITDA excludes non-cash expense for stock-based compensation, which is and is expected to remain a key element of our overall long-term incentive compensation package.

We also recognize that Contribution margin and Contribution margin as a percentage of net revenue have limitations as analytical financial measures. For example, Contribution margin does not reflect:

general and administrative expense necessary to operate our business;
research and development expenses necessary for the development, operation and support of our software platform;
the fixed costs portion of our sales and distribution expenses including stock-based compensation expense; or
changes in fair value of contingent earn-out liabilities, warrant liabilities, and amortization of inventory step-up from acquisitions (included in cost of goods sold).

Contribution Margin

The following table provides a reconciliation of Contribution margin to gross profit and Contribution margin as a percentage of net revenue to gross profit as a percentage of net revenue, which are the most directly comparable financial measures presented in accordance with GAAP:

	Three Months Ended March 31,
	2022	2023

	(in thousands, except percentages)
Gross Profit	$ 23,607	$ 19,097
Less:
E-commerce platform commissions, online advertising, selling and logistics expenses	(19,777)	(17,029)
Contribution margin	$ 3,830	$ 2,068
Gross Profit as a percentage of net revenue	56.6%	54.8%
Contribution margin as a percentage of net revenue	9.2%	5.9%

Adjusted EBITDA

The following table provides a reconciliation of EBITDA and Adjusted EBITDA to net loss, which is the most directly comparable financial measure presented in accordance with GAAP:

	Three Months Ended March 31,
	2022	2023
Net loss	$ (42,776)	$ (25,800)
Add:
Provision for income taxes	—	26
Interest expense, net	802	371
Depreciation and amortization	1,846	1,762
EBITDA	(40,128)	(23,641)
Other (income) expense, net	(25)	54
Change in fair value of contingent earn-out liabilities	(2,775)	—
Impairment loss on goodwill	29,020	—
Impairment loss on intangibles	—	16,660
Gain on extinguishment of seller note	(2,012)	—
Change in fair market value of warrant liability	1,879	354
Loss on original issuance of equity	5,835	—
Litigation reserve	800	—
Stock-based compensation expense	2,865	2,317
Adjusted EBITDA	$ (4,541)	$ (4,256)
Net loss as a percentage of net revenue	(102.6)%	(74.0)%
Adjusted EBITDA as a percentage of net revenue	(10.9)%	(12.2)%

Each of our products typically goes through the Launch phase and depending on its level of success is moved to one of the other phases as further described below:

i. Launch phase: During this phase, we leverage our technology to target opportunities identified using AIMEE (Artificial Intelligence Marketplace e-Commerce Engine) and other sources. This phase also includes revenue from new product variations and relaunches. During this period of time, due to the combination of discounts and investment in marketing, our net margin for a product could be as low as approximately negative 35%. Net margin is calculated by taking net revenue less the cost of goods sold, less fulfillment, online advertising and selling expenses. These primarily reflect the estimated variable costs related to the sale of a product.

ii. Sustain phase: Our goal is for every product we launch to enter the sustain phase and become profitable, with a target of positive 15% net margin for most products, within approximately three months of launch on average. Net margin primarily reflects a combination of manual and automated adjustments in price and marketing spend.

iii. Liquidate phase: If a product does not enter the sustain phase or if the customer satisfaction of the product (i.e., ratings) is not satisfactory, then it will go to the liquidate phase and we will sell through the remaining inventory. Products can also be liquidated as part of inventory normalization especially when steep discounts are required.

The following tables break out our first quarter of 2022 and 2023 results of operations by our product phases (in thousands):

	Three months ended March 31, 2022
	Sustain	Launch	Liquidation/ Other	Fixed Costs	Stock Based Compensation	Total
Net revenue	$ 37,964	$ 837	$ 2,872	$ —	$ —	$ 41,673
Cost of goods sold	15,749	411	1,906	—	—	18,066
Gross profit	22,215	426	966	—	—	23,607
Operating expenses:
Sales and distribution expenses	17,479	535	1,762	2,851	347	22,974
Research and development	—	—	—	870	274	1,144
General and administrative	—	—	—	7,217	2,324	9,541
Impairment loss on goodwill	—	—	—	29,020	—	29,020
Change in earn-out liability	—	—	—	(2,775)	—	(2,775)
	Three months ended March 31, 2023
	Sustain	Launch	Liquidation/ Other	Fixed Costs	Stock Based Compensation	Total
Net revenue	$ 28,631	$ 158	$ 6,090	$ —	$ —	$ 34,879
Cost of goods sold	11,678	92	4,012	—	—	15,782
Gross profit	16,953	66	2,078	—	—	19,097
Operating expenses:
Sales and distribution expenses	13,353	119	3,557	2,526	671	20,226
Research and development	—	—	—	813	434	1,247
General and administrative	—	—	—	4,747	1,212	5,959
Impairment loss on intangibles	—	—	—	16,660	—	16,660

Related Topics:AI Artificial Intelligence Machine learning

Up Next

GXO Reports First Quarter 2023 Results

Don't Miss

Synchronoss Technologies Reports First Quarter 2023 Results

GlobeNewswire

GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

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

Published

7 hours ago

July 26, 2024

CISION (PR Newswire)

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.
Get Free Sample @ https://reports.valuates.com/request/sample/ALLI-Auto-2B326/Data_Center_Chip_Market
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.
View Full Report @ https://reports.valuates.com/market-reports/ALLI-Auto-2B326/data-center-chip
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.
Buy Now @ https://reports.valuates.com/api/directpaytoken?rcode=ALLI-Auto-2B326&lic=single-user
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.
Purchase Regional Report @ https://reports.valuates.com/request/regional/ALLI-Auto-2B326/Data_Center_Chip_Market
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
SUBSCRIPTION
We have introduced a tailor-made subscription for our customers. Please leave a note in the Comment Section to know about our subscription plans.
DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
– The global modular data center market size was valued at USD 14,952 Million in 2019 and is projected to reach USD 59,971 Million by 2027, registering a CAGR of 18.7% from 2020 to 2027.
– Data Centre Market was estimated to be worth USD 137500 Million in 2023 and is forecast to a readjusted size of USD 412740 Million by 2030 with a CAGR of 16.8% during the forecast period 2024-2030.
– Data Center PCIe Chip market was valued at USD 194.9 Million in 2023 and is anticipated to reach USD 377.4 Million by 2030, witnessing a CAGR of 10.2% during the forecast period 2024-2030.
– Data Center Accelerator Market
– Data Center Networking Market
– According to a new report published by , titled, “Big Data Analytics in Semiconductor & Electronics Market,” The big data analytics in semiconductor & electronics market was valued at D18.7 billion in 2021, and is estimated to reach D47.2 billion by 2031, growing at a CAGR of 9.9% from 2022 to 2031.
– IoT market was valued at USD 34250 Million in 2023 and is anticipated to reach USD 74630 Million by 2030, witnessing a CAGR of 11.6% during the forecast period 2024-2030.
– Data Center AI Accelerator Chip Market
– Electro-absorption Modulated Laser Chip Market
– According to a new report published by , titled, “Data Processing Unit Market”, the data processing unit market was valued at D553.96 Million in 2021, and is estimated to reach D5.5 billion by 2031, growing at a CAGR of 26.9% from 2022 to 2031.
– Optical Chip for Data Center Market
– EML Chip Market
– Optical Communication Chip Market revenue was USD 3102.7 Million in 2022 and is forecast to a readjusted size of USD 7251.5 Million by 2029 with a CAGR of 12.9% during the forecast period (2023-2029).
– SiC Power Chip Market
– Silicon Carbide Chip Market
– High Speed Optical Communication Chip Market
– 56G eml Optical Chip Market
– FPGA Master Control Chip Market
– Single-port Industrial Grade Ethernet PHY Chip Market
– AWG Chip Market
– Discrete Graphics Chip Market
– LNOI Optoelectronic Chip Market
– Smartphone Chip Market
– Smartphone TFT-LCD Display Driver Chip Market
– Smart Phone Baseband Chip Market
DISCOVER OUR VISION: VISIT ABOUT US!
Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.
Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
YOUR FEEDBACK MATTERS: REACH OUT TO US!Valuates [email protected] U.S. Toll-Free Call 1-(315)-215-3225WhatsApp: +91-9945648335Website: https://reports.valuates.comBlog: https://valuatestrends.blogspot.com/ Pinterest: https://in.pinterest.com/valuatesreports/ Twitter: https://twitter.com/valuatesreports Facebook: https://www.facebook.com/valuatesreports/ YouTube: https://www.youtube.com/@valuatesreports6753 https://www.facebook.com/valuateskorean https://www.facebook.com/valuatesspanish https://www.facebook.com/valuatesjapanese https://valuatesreportspanish.blogspot.com/ https://valuateskorean.blogspot.com/ https://valuatesgerman.blogspot.com/ https://valuatesreportjapanese.blogspot.com/
Logo: https://mma.prnewswire.com/media/1082232/Valuates_Reports_Logo.jpg

View original content:https://www.prnewswire.co.uk/news-releases/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-302207745.html

Artificial Intelligence

Industry 4.0 Market to Surpass USD 513.89 Billion by 2031 with Automation Surge | SkyQuest Technology

Published

7 hours ago

July 26, 2024

CISION (PR Newswire)

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:
https://www.skyquestt.com/sample-request/industry-4-0-market
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:
https://www.skyquestt.com/speak-with-analyst/industry-4-0-market
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.
View report summary and Table of Contents (TOC):
https://www.skyquestt.com/report/industry-4-0-market
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.
Related Report:
Digital Twin Market
Cyber Security Market
Artificial Intelligence (AI) Market
Internet Of Things (IoT) Market
Machine Learning Market
About Us:
SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.
We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization has expanded our reach across North America, Europe, ASEAN and Asia Pacific.
Contact: Mr. Jagraj SinghSkyQuest Technology1 Apache Way,Westford,Massachusetts 01886USA (+1) 351-333-4748Email: [email protected] Our Website: https://www.skyquestt.com/
Logo : https://mma.prnewswire.com/media/2446095/SkyQuest_Logo.jpg

View original content:https://www.prnewswire.co.uk/news-releases/industry-4-0-market-to-surpass-usd-513-89-billion-by-2031-with-automation-surge–skyquest-technology-302206499.html

Artificial Intelligence

Generative AI Cybersecurity Market worth $40.1 billion by 2030 – Exclusive Report by MarketsandMarkets™

Published

9 hours ago

July 26, 2024

CISION (PR Newswire)

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
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=164202814
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.
Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=164202814
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.
Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=164202814
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).
Browse Adjacent Market: Artificial Intelligence (AI) Market Research Reports & Consulting
Browse Other Reports:
AI Model Risk Management Market – Global Forecast to 2029
AI in Chemicals Market – Global Forecast to 2029
Artificial Intelligence in Cybersecurity Market – Global Forecast to 2028
Explainable AI Market – Global Forecast to 2028
Artificial Intelligence (AI) Toolkit Market – Global Forecast to 2028
Get access to the latest updates on Generative AI cybersecurity Companies and Generative AI cybersecurity Industry
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:Mr. Rohan SalgarkarMarketsandMarkets™ INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Our Website: https://www.marketsandmarkets.com/
Logo: https://mma.prnewswire.com/media/1951202/4609423/MarketsandMarkets.jpg

View original content:https://www.prnewswire.co.uk/news-releases/generative-ai-cybersecurity-market-worth-40-1-billion-by-2030—exclusive-report-by-marketsandmarkets-302207361.html