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Taboola Beats Guidance in Q1 On All Metrics; Raises Mid-point for 2023; Announcing Up To $40M Buyback and $50M Debt Repayment

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  • Q1 2023 Revenues of $327.7M, Gross Profit of $89.6M, ex-TAC Gross Profit of $115.7M, Net loss of $31.3M and Adjusted EBITDA of $10.1M, exceeding the high end of all guidance metrics.
  • Net cash provided by operating activities of $17.5M and Free Cash Flow in Q1 2023 of $11.2M after net publisher prepayments of ($3.9M)** and $5.1M in cash interest payments.
  • Announcing share buyback program of up to $40M in 2023. Repaid $30M of long-term debt in April (totaling $91M since Q4 2022) and expect to continue to repay debt up to an additional $50M this year.
  • Updated 2023 guidance raises the mid-point: Revenues of $1,427M – $1,469M, Gross Profit of $418M – $436M, ex-TAC Gross Profit of $529M – $546M, Adjusted EBITDA of $65M – $80M. Positive Free Cash Flow.
  • 2024 guidance assumes investments will begin to pay off: at least $200M Adjusted EBITDA, at least $100M Free Cash Flow.

NEW YORK, May 10, 2023 (GLOBE NEWSWIRE) — Taboola (Nasdaq: TBLA), a global leader in powering recommendations for the open web, helping people discover things they may like, today announced its results for the quarter ended March 31, 2023.

“We had a strong performance in Q1, beating the high end of our guidance across all metrics. This was primarily driven by the core business tracking ahead of our expectations, helped by key publisher partners like Condé Nast, Univision, The Blaze, Kicker in Germany and others along with continued strength from eCommerce. We’re also seeing Taboola News outperforming our internal expectations,” said Adam Singolda, CEO and Founder, Taboola.

“From where we are now, we are hyper focused on what we need to do to execute on our objectives and mission. Once the Yahoo integration is 100% live we expect to be at a $2.5B revenue run-rate. This will still be a small portion of the $70B Open Web market, so there remains a lot of growth for us to capture. To do that we are laser focused on four company priorities – performance advertising, ecommerce, bidding, and Yahoo. We have all we need to execute and generate our financial objectives. These are times to remain focused, stay very close to our partners and customers, and execute – that’s all we care about now,” continued Singolda.

For more commentary on the quarter, please refer to Taboola’s Q1 2023 Shareholder Letter, which was furnished to the SEC and also posted on Taboola’s website today at https://investors.taboola.com.

First Quarter Results Summary

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(dollars in millions, except per share data) Three months ended
March 31,
       
    2023     2022          
  Unaudited   % change YoY   Guidance
Revenues $ 327.7     $ 354.7     (7.6 %)   $299 – $325
Gross profit $ 89.6     $ 112.0     (20.0 %)   $76 – $88
Net income (loss) $ (31.3 )   $ 3.9     NM    
EPS diluted (1) $ (0.09 )   $ 0.01     NM    
Ratio of net income (loss) to gross profit   (35.0 %)     3.5 %        
Cash flow provided by operating activities $ 17.5     $ 8.1     115.7 %    
Cash, cash equivalents, short-term deposits and investments $ 274.4     $ 318.0     (13.7 %)    
               
Non-GAAP Financial Data*              
ex-TAC Gross Profit $ 115.7     $ 138.2     (16.3 %)   $103 – $115
Adjusted EBITDA $ 10.1     $ 34.9     (71.0 %)   ($6) – $6
Non-GAAP Net Income (Loss) (2) $ (4.1 )   $ 22.1     (118.6 %)   ($23) – ($11)
Ratio of Adjusted EBITDA to ex-TAC Gross Profit   8.7 %     25.2 %        
Free Cash Flow $ 11.2     $ 1.2     815.2 %    

1 The weighted-average shares used in the computation of the diluted EPS for the three months ended March 31, 2023 and 2022 are 333,424,276 and 260,036,934, respectively.
2 Three months ended March 31, 2022 have been adjusted to exclude the impact of foreign currency exchange rates to be consistent with current period presentation. 

Business Highlights for Q1 2023

  • Revenue from new publisher partners continues to be an area of strength – Publisher wins from competitors included L’Express, Condé Nast, Kicker, Funke, and DuMont.
  • Renewed relationships with many well-known publishers including Sinclair, Advance Local, O Dia, Slate France, and Seven West Media.
  • Received approval from Israeli regulators to finalize the Yahoo deal; transitioned into the next phase of integration, the build and test phase.
  • Launched TIME and Advance Local on Taboola Turnkey Commerce, publishing over 100 finance articles on TIME with subsequent launch of the TIME eCommerce section planned for May.
  • Further deployed AI to enhance our Life Time Value (LTV) vision, a holistic approach that enhances publisher revenue and empowers diversification of channels (eCommerce, subscription, native, bidding and video).
  • Continued to see eCommerce strength in the bottom of funnel channel from key partners such as Walmart, Wayfair, and Macy’s.
  • Rolled out Generative AI in beta form on Taboola Ads which suggests data-driven titles and thumbnails to creatives, accelerating the speed and efficiency of launching campaigns.

Second Quarter and Full Year 2023 Guidance

For the Second Quarter and Full Year 2023, the Company currently expects:

  Q2 2023
Guidance
  FY 2023
Guidance
  Unaudited
  (dollars in millions)
Revenues $296 – $322   $1,427 – $1,469
Gross profit $78 – $88   $418 – $436
ex-TAC Gross Profit* $105 – $115   $529 – $546
Adjusted EBITDA* ($4) – $6   $65 – $80
Non-GAAP Net Income (Loss)* ($26) – ($16) ($5) – $10
       

Although we provide guidance for Adjusted EBITDA and Non-GAAP Net Income (Loss), we are not able to provide guidance for projected net income (loss), the most directly comparable GAAP measure. Certain elements of net income (loss), including share-based compensation expenses and warrant valuations, are not predictable due to the high variability and difficulty of making accurate forecasts. As a result, it is impractical for us to provide guidance on net income (loss) or to reconcile our Adjusted EBITDA and Non-GAAP Net Income (Loss) guidance without unreasonable efforts. Consequently, no disclosure of projected net income (loss) is included. For the same reasons, we are unable to address the probable significance of the unavailable information.

Authorization to Buyback Ordinary Shares

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On May 9, 2023, the Company’s Board of Directors authorized the buyback of up to $40 million of the Company’s ordinary shares. Any share buybacks under the program may be made from time to time in the open market, including through trading plans intended to qualify under Rule 10b5-1 under the Securities Exchange Act of 1934, as amended, in privately negotiated transactions or otherwise. The timing and amount of any share buybacks will be subject to market conditions and other factors determined by the Company. The Company may suspend, modify or discontinue the program at any time in its sole discretion without prior notice. This press release is neither an offer to purchase nor a solicitation of an offer to buy any securities.

Under Israeli law, the Company’s ability to buyback ordinary shares must be within a maximum dollar amount authorized by the Tel Aviv District Court Economic Department (the “Israeli court”). The maximum amount includes both share buybacks and net issuances to satisfy tax withholding obligations related to equity-based compensation. The Israeli court approval typically expires in six months. The Company previously obtained Israeli court approvals for such activities, and expects to continue to make successive requests for the foreseeable future absent unusual circumstances. In anticipation of the May 16, 2023 expiration of the Company’s most recent $50 million approval, on April 17 2023, the Company requested the Israeli court to provide another $50 million of authority. The Company will announce the Israeli court’s decision promptly once it is obtained. The decision is currently expected by the end of this month or shortly thereafter. 

Webcast Details

Taboola’s senior management team will discuss the Company’s earnings on a call that will take place on May 10, 2023, at 8:30 AM ET. The call can be accessed via webcast at https://investors.taboola.com. To access the call by phone, please go to this link to register https://register.vevent.com/register/BI425cebdda8864199aaeeb8bd8ccc5cf2 and you will be provided with dial in details. The webcast will be available for replay for one year, through the close of business on May 10, 2024.

*About Non-GAAP Financial Information

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This press release includes ex-TAC Gross Profit, Adjusted EBITDA, Ratio of Adjusted EBITDA to ex-TAC Gross Profit, Free Cash Flow, Non-GAAP Net Income (Loss), 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 (loss), 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 supplemental 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, which may vary from period to period. Please refer to the appendix at the end of this press release for reconciliations to the most directly comparable measures in accordance with GAAP.

**About Cash Investment in Publisher Prepayments (Net)

We calculate cash investment in publisher prepayments (net) for a specific measurement period as the gross amount of cash publisher prepayments we made in that measurement period minus the amortization of publisher prepayments that were included in traffic acquisition cost during that measurement period, which were the result of cash publisher prepayments made in that measurement period and previous periods.

Note Regarding Forward-Looking Statements

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Certain statements in this press release are forward-looking statements. Forward-looking statements generally relate to future events including future financial or operating performance of Taboola.com Ltd. (the “Company”). In some cases, you can identify forward-looking statements by terminology such as “may”, “should”, “expect”, “guidance”, “intend”, “will”, “estimate”, “anticipate”, “believe”, “predict”, “target”, “potential” or “continue”, or the negatives of these terms or variations of them or similar terminology. Such forward-looking statements are subject to risks, uncertainties, and other factors which could cause actual results to differ materially from those expressed or implied by such forward looking statements.

These forward-looking statements are based upon estimates and assumptions that, while considered reasonable by the Company and its management, are inherently uncertain. Uncertainties and risk factors that could affect the Company’s future performance and cause results to differ from the forward-looking statements in this press release include, but are not limited to: the ability to recognize the anticipated benefits of the Connexity acquisition and the business combination between the Company and ION Acquisition Corp. 1 Ltd. (together, the “Business Combinations”), which may be affected by, among other things, competition, the ability of the Company to grow and manage growth profitably, maintain relationships with customers and retain its management and key employees; the Company’s ability to successfully integrate the Connexity acquisition; costs related to the Business Combinations; changes in applicable laws or regulations; the Company’s estimates of expenses and profitability and underlying assumptions with respect to accounting presentations and purchase price and other adjustments; the extent to which we will voluntarily prepay additional long-term debt or buyback any of our ordinary shares pursuant to authority granted by the Company’s Board of Directors, which may depend upon market and economic conditions; other business opportunities and priorities; and, with respect to the buyback of our ordinary shares, the availability of sufficient continuing authority being approved and re-approved as necessary by the Tel Aviv District Court Economic Department to permit share buybacks (and our continued use of a net issuance mechanism to satisfy tax withholding obligations related to equity-based compensation on behalf of our directors, officers and other employees) or other factors; the Company’s ability to transition to and fully launch the native advertising service for Yahoo on the currently anticipated schedule or at all; the ability to generate or achieve the increase in Adjusted EBITDA and Free Cash Flow in 2024 or our expected revenue run-rate once Yahoo integration is live, in each case to the levels assumed in this press release or at all; ability to attract new digital properties and advertisers; ability to meet minimum guarantee requirements in contracts with digital properties; intense competition in the digital advertising space, including with competitors who have significantly more resources; ability to grow and scale the Company’s ad and content platform through new relationships with advertisers and digital properties; ability to secure high quality content from digital properties; ability to maintain relationships with current advertiser and digital property partners; ability to prioritize investments to improve profitability and free cash flow; ability to make continued investments in the Company’s AI-powered technology platform; the need to attract, train and retain highly-skilled technical workforce; changes in the regulation of, or market practice with respect to, “third party cookies” and its impact on digital advertising; continued engagement by users who interact with the Company’s platform on various digital properties; reliance on a limited number of partners for a significant portion of the Company’s revenue; changes in laws and regulations related to privacy, data protection, advertising regulation, competition and other areas related to digital advertising; ability to enforce, protect and maintain intellectual property rights; and risks related to the fact that we are incorporated in Israel and governed by Israeli law; and other risks and uncertainties set forth in the Company’s Annual Report on Form 10-K for the year ended December 31, 2022 under Part 1, Item 1A “Risk Factors” and in the Company’s subsequent filings with the Securities and Exchange Commission.

Nothing in this press release should be regarded as a representation by any person that the forward-looking statements set forth herein will be achieved or that any of the contemplated results of such forward-looking statements will be achieved. You should not place undue reliance on these forward-looking statements, which speak only as of the date they were made. The Company undertakes no duty to update these forward-looking statements except as may be required by law.

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, BBC, NBC News, Business Insider, The Independent and El Mundo.

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Approximately 18,000 advertisers use Taboola to reach over 500 million daily active users in a brand-safe environment. Following the acquisition of Connexity in 2021, Taboola is a leader in powering e-commerce recommendations, driving more than 1 million monthly transactions each month. Leading brands, including Walmart, Macy’s, Wayfair, Skechers and eBay are among key customers.

Learn more at www.taboola.com and follow @taboola on Twitter.

Investor Contact: Press Contact:
Rick Hoss Dave Struzzi
[email protected] [email protected]
       
CONSOLIDATED BALANCE SHEETS      
U.S. dollars in thousands, except share and per share data      
  March 31,   December 31,
  2023   2022
  Unaudited    
ASSETS      
CURRENT ASSETS      
Cash and cash equivalents $ 218,849   $ 165,893
Short-term investments   55,582     96,914
Restricted deposits   1,091     750
Trade receivables (net of allowance for credit losses of $9,242 and $6,748 as of March 31, 2023 and December 31, 2022, respectively)   212,346     256,708
Prepaid expenses and other current assets   73,531     73,643
Total current assets   561,399     593,908

NON-CURRENT ASSETS
     
Long-term prepaid expenses   41,262     42,945
Commercial agreement asset   289,451    
Restricted deposits   3,998     4,059
Deferred tax assets, net   3,218     3,821
Operating lease right of use assets   67,740     66,846
Property and equipment, net   71,731     73,019
Intangible assets, net   173,177     189,156
Goodwill   555,931     555,869
Total non-current assets   1,206,508     935,715
Total assets $ 1,767,907   $ 1,529,623
           
CONSOLIDATED BALANCE SHEETS
U.S. dollars in thousands, except share and per share data
 
  March 31,   December 31,
    2023       2022  
  Unaudited    
LIABILITIES AND SHAREHOLDERS’ EQUITY      
CURRENT LIABILITIES      
Trade payables $ 223,040     $ 247,504  
Short-term operating lease liabilities   15,663       14,753  
Accrued expenses and other current liabilities   95,182       102,965  
Current maturities of long-term loan   33,000       3,000  
Total current liabilities   366,885       368,222  
LONG-TERM LIABILITIES      
Long-term loan, net of current maturities   192,737       223,049  
Long-term operating lease liabilities   58,223       57,928  
Warrants liability   5,080       6,756  
Deferred tax liabilities, net   31,319       34,133  
Other long-term liabilities   5,000       5,000  
Total long-term liabilities   292,359       326,866  
SHAREHOLDERS’ EQUITY      
Ordinary shares with no par value- Authorized: 700,000,000 as of March 31, 2023 and December 31, 2022; 297,822,375 and 254,133,863 shares issued and outstanding as of March 31, 2023 and December 31, 2022, respectively.          
Non-voting Ordinary shares with no par value- Authorized: 46,000,000 as of March 31, 2023 and December 31, 2022; 45,198,702 and 0 shares issued and outstanding as of March 31, 2023 and December 31, 2022, respectively.          
Additional paid-in capital   1,209,559       903,789  
Accumulated other comprehensive loss   (1,163 )     (834 )
Accumulated deficit   (99,733 )     (68,420 )
Total shareholders’ equity   1,108,663       834,535  
Total liabilities and shareholders’ equity $ 1,767,907     $ 1,529,623  
               
CONSOLIDATED STATEMENTS OF INCOME (LOSS)
U.S. dollars in thousands, except share and per share data
 
  Three months ended
March 31,
    2023       2022  
  Unaudited
Revenues $ 327,686     $ 354,726  
Cost of revenues:      
Traffic acquisition cost   211,946       216,498  
Other cost of revenues   26,148       26,198  
Total cost of revenues   238,094       242,696  
Gross profit   89,592       112,030  
Operating expenses:      
Research and development   31,985       30,412  
Sales and marketing   60,569       61,368  
General and administrative   25,836       27,949  
Total operating expenses   118,390       119,729  
Operating loss   (28,798 )     (7,699 )
Finance income (expenses), net   (3,154 )     11,195  
Income (loss) before income taxes   (31,952 )     3,496  
Income tax benefit   639       392  
Net income (loss) $ (31,313 )   $ 3,888  
       
Net income (loss) per share attributable to Ordinary and Non-voting Ordinary shareholders, basic $ (0.09 )   $ 0.02  
Weighted-average shares used in computing net income (loss) per share attributable to Ordinary and Non-voting Ordinary shareholders, basic   333,424,276       247,378,428  
Net income (loss) per share attributable to Ordinary and Non-voting Ordinary shareholders, diluted $ (0.09 )   $ 0.01  
Weighted-average shares used in computing net income (loss) per share attributable to Ordinary and Non-voting Ordinary shareholders, diluted   333,424,276       260,036,934  
               
CONSOLIDATED STATEMENTS OF COMPREHENSIVE INCOME (LOSS)
U.S. dollars in thousands
 
  Three months ended
March 31,
    2023       2022  
  Unaudited
Net income (loss) $ (31,313 )   $ 3,888  
Other comprehensive income (loss):      
Unrealized gains (losses) on available-for-sale marketable securities   327        
Unrealized gains (losses) on derivative instruments, net   (656 )     (230 )
Other comprehensive income (loss)   (329 )     (230 )
Comprehensive income (loss) $ (31,642 )   $ 3,658  
               
SHARE-BASED COMPENSATION BREAK-DOWN BY EXPENSE LINE
U.S. dollars in thousands
 
  Three months ended
March 31,
  2023   2022
  Unaudited
Cost of revenues $ 1,044   $ 703
Research and development   5,844     6,102
Sales and marketing   4,285     5,300
General and administrative   4,909     7,724
Total share-based compensation expenses $ 16,082   $ 19,829
           
DEPRECIATION AND AMORTIZATION BREAK-DOWN BY EXPENSE LINE
U.S. dollars in thousands
  Three months ended
March 31,
  2023   2022
  Unaudited
Cost of revenues $ 8,298   $ 8,101
Research and development   605     645
Sales and marketing   13,526     13,503
General and administrative   172     427
Total depreciation and amortization expense $ 22,601   $ 22,676
           
CONSOLIDATED STATEMENTS OF CASH FLOWS
U.S. dollars in thousands
 
  Three months ended
March 31,
    2023       2022  
  Unaudited
Cash flows from operating activities      
Net income (loss) $ (31,313 )   $ 3,888  
Adjustments to reconcile net income (loss) to net cash flows provided by operating activities:      
Depreciation and amortization   22,601       22,676  
Share-based compensation expenses   16,082       19,829  
Net loss (gain) from financing expenses   (328 )     671  
Revaluation of the Warrants liability   (1,676 )     (14,042 )
Amortization of loan and credit facility issuance costs   500       358  
Amortization of premium and accretion of discount on short-term investments, net   (281 )      
Change in operating assets and liabilities:      
Decrease in trade receivables, net   44,362       45,935  
Decrease (increase) in prepaid expenses and other current assets and long-term prepaid expenses   721       (3,317 )
Decrease in trade payables   (22,807 )     (45,864 )
Decrease in accrued expenses and other current liabilities and other long-term liabilities   (13,439 )     (16,544 )
Increase (decrease) in deferred taxes, net   2,790       (4,086 )
Change in operating lease right of use assets   4,151       2,895  
Change in operating lease liabilities   (3,839 )     (4,276 )
Net cash provided by operating activities   17,524       8,123  
Cash flows from investing activities      
Purchase of property and equipment, including capitalized internal-use software   (6,350 )     (6,902 )
Cash paid in connection with acquisitions, net of cash acquired         (620 )
Investments in restricted deposits   (280 )      
Investment in short-term deposits         (40,026 )
Proceeds from sales and maturities of short-term investments   41,940        
Payments of cash in escrow for acquisition of a subsidiary         (2,100 )
Net cash provided by (used in) investing activities   35,310       (49,648 )
Cash flows from financing activities      
Exercise of options and vested RSUs   1,335       3,399  
Payment of tax withholding for share-based compensation expenses   (791 )     (1,845 )
Repayment of long-term loan   (750 )     (750 )
Net cash provided by (used in) financing activities   (206 )     804  
Exchange rate differences on balances of cash and cash equivalents   328       (671 )
Increase (decrease) in cash and cash equivalents   52,956       (41,392 )
Cash and cash equivalents – at the beginning of the period   165,893       319,319  
Cash and cash equivalents – at end of the period $ 218,849     $ 277,927  
  Three months ended
March 31,
  2023   2022
  Unaudited
Supplemental disclosures of cash flow information:
Cash paid during the year for:      
Income taxes $ 4,258   $ 2,418
Interest $ 5,067   $ 3,570
Non-cash investing and financing activities:      
Purchase of property and equipment, including capitalized internal-use software $ 36   $ 1,809
Share-based compensation included in capitalized internal-use software $ 652   $ 517
Creation of operating lease right-of-use assets $ 5,045   $
           

APPENDIX A: Non-GAAP Reconciliation

RECONCILIATION OF GAAP TO NON-GAAP FINANCIAL MEASURES FOR THE THREE MONTHS ENDED MARCH 31, 2023 AND 2022 (Unaudited)

The following table provides a reconciliation of revenues to ex-TAC Gross Profit.

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  Three months ended
March 31,
  2023   2022
  (dollars in thousands)
Revenues $ 327,686 $ 354,726
Traffic acquisition cost   211,946     216,498
Other cost of revenues   26,148     26,198
Gross profit $ 89,592   $ 112,030
Add back: Other cost of revenues   26,148   26,198
ex-TAC Gross Profit $ 115,740 $ 138,228
           

The following table provides a reconciliation of net income (loss) to Adjusted EBITDA.

  Three months ended
March 31,
    2023       2022  
  (dollars in thousands)
Net income (loss) $ (31,313 )   $ 3,888  
Adjusted to exclude the following:
Finance (income) expenses, net   3,154       (11,195 )
Income tax benefit   (639 )     (392 )
Depreciation and amortization   22,601     22,676  
Share-based compensation expenses   13,527     17,039  
Holdback compensation expenses (1)   2,555       2,790  
M&A and other costs (2)   237     50  
Adjusted EBITDA $ 10,122   $ 34,856  

1 Represents share-based compensation due to holdback of Taboola Ordinary shares issuable under compensatory arrangements relating to Connexity acquisition.
2 Includes commercial agreement asset acquisition costs.

We calculate Ratio of net income (loss) to gross profit as net income (loss) divided by gross profit. We calculate the Ratio of Adjusted EBITDA to ex-TAC Gross Profit, a non-GAAP measure, as Adjusted EBITDA divided by ex-TAC Gross Profit. We believe that the Ratio of Adjusted EBITDA to ex-TAC Gross Profit is useful because TAC is what we must pay digital properties to obtain the right to place advertising on their websites, and we believe focusing on ex-TAC Gross Profit better reflects the profitability of our business. The following table reconciles Ratio of net income (loss) to gross profit and Ratio of Adjusted EBITDA to ex-TAC Gross Profit for the period shown.

  Three months ended
March 31,
    2023       2022  
  (dollars in thousands)
Gross profit $ 89,592     $ 112,030  
Net income (loss) $ (31,313 )   $ 3,888  
Ratio of net income (loss) to gross profit   (35.0 %)     3.5 %
       
ex-TAC Gross Profit $ 115,740   $ 138,228  
Adjusted EBITDA $ 10,122   $ 34,856  
Ratio of Adjusted EBITDA margin to ex-TAC Gross Profit   8.7 %     25.2 %
               

The following table provides a reconciliation of net income (loss) to Non-GAAP Net Income (Loss)*.

  Three months ended
March 31,
    2023       2022  
  (dollars in thousands)
Net income (loss) $ (31,313 )   $ 3,888  
Amortization of acquired intangibles   15,969       15,780  
Share-based compensation expenses   13,527       17,039  
Holdback compensation expenses (1)   2,555       2,790  
M&A and other costs (2)   237       50  
Revaluation of Warrants   (1,676 )     (14,042 )
Foreign currency exchange rate losses (3)   429       216  
Income tax effects   (3,829 )     (3,626 )
Non-GAAP Net Income (Loss) $ (4,101 )   $ 22,095  

* Three months ended March 31, 2022 have been adjusted to exclude the impact of foreign currency exchange rates to be consistent with current period presentation.

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1 Represents share-based compensation due to holdback of Taboola Ordinary shares issuable under compensatory arrangements relating to Connexity acquisition.
2 Includes commercial agreement asset acquisition costs.
3 Represents income or loss related to the remeasurement of monetary assets and liabilities to the Company’s functional currency using exchange rates in effect at the end of the reporting period.

The following table provides a reconciliation of net cash provided by operating activities to Free Cash Flow.

  Three months ended
March 31,
    2023       2022  
  (dollars in thousands)
Net cash provided by operating activities $ 17,524     $ 8,123  
Purchases of property and equipment, including capitalized internal-use software   (6,350 )     (6,902 )
Free Cash Flows $ 11,174     $ 1,221  
               

APPENDIX A: Non-GAAP Guidance Reconciliation

RECONCILIATION OF GAAP TO NON-GAAP FINANCIAL MEASURES FOR Q2 2023 AND FULL YEAR 2023 GUIDANCE

(Unaudited)

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The following table provides a reconciliation of projected Gross profit to ex-TAC Gross profit guidance.

  Q2 2023
Guidance
FY 2023
Guidance
  Unaudited
  (dollars in millions)
Revenues $296 – $322   $1,427 – $1,469
Traffic acquisition cost ($191) – ($207)   ($898) – ($923)
Other cost of revenues ($27) – ($27)   ($110) – ($111)
Gross profit $78 – $88   $418 – $436
Add back: Other cost of revenues $27 – $27 $110 – $111
ex-TAC Gross Profit $105 – $115 $529 – $546
       

Although we provide a projection for Free Cash Flow, we are not able to provide a projection for net cash provided by operating activities, the most directly comparable GAAP measure. Certain elements of net cash provided by operating activities, including taxes and timing of collections and payments, are not predictable therefore projecting an accurate forecast is difficult. As a result, it is impractical for us to provide projections on net cash provided by operating activities or to reconcile our Free Cash Flow projections without unreasonable efforts. Consequently, no disclosure of projected net cash provided by operating activities is included. For the same reasons, we are unable to address the probable significance of the unavailable information.

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

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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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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.
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–  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
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–  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
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–  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
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Artificial Intelligence

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

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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/
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Artificial Intelligence

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

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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).
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/
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