Fintech PR
Focusing on High-performance Advanced Packaging and Global Layout, JCET Achieved Quarter-on-Quarter Growth in Q2 2023
Q2 2023 Financial Highlights:
- Revenue was RMB 6.31 billion, an increase of 7.7% quarter-on-quarter.
- Generated RMB 1.19 billion cash from operations. With net capex investments of RMB 0.75 billion, free cash flow for the quarter was RMB 0.44 billion.
- Net profit was RMB 0.39 billion, an increase of 250.8% quarter-on-quarter.
- Earnings per share was RMB 0.22, as compared to RMB 0.39 in Q2 2022.
1H 2023 Financial Highlights:
- Revenue was RMB 12.17 billion.
- Generated RMB 2.42 billion cash from operations. With net capex investments of RMB 1.56 billion, free cash flow for the first half of 2023 was RMB 0.86 billion.
- Net profit was RMB 0.5 billion.
- Earnings per share was RMB 0.28, as compared to RMB 0.87 in 1H 2022.
SHANGHAI, Aug. 25, 2023 /PRNewswire/ — Today, JCET Group (SSE: 600584), a leading global provider of integrated circuit (IC) back-end manufacturing and technology services, announced its financial results for the first half year of 2023. The financial report shows that in the first half of 2023, JCET achieved revenue of RMB 12.17 billion, and net profit of RMB 0.5 billion. In Q2 2023 JCET achieved revenue of RMB 6.31 billion, an increase of 7.7% quarter-on-quarter, and net profit of RMB 0.39 billion, an increase of 250.8% quarter-on-quarter.
In the first half of 2023, the global semiconductor industry was in the fluctuating stage of bottoming out and rebounding. JCET adhered to high-performance advanced packaging technologies and product development mechanism, focusing on solutions for emerging applications such as high performance computing and storage, enhanced strategic layout of production capacity, and further strengthened its market position in the global IC industry.
JCET continues to enhance its technological innovation, with R&D investment of RMB 0.67 billion in the first half of this year, a year-on-year increase of 5.0%. The company’s multi-dimensional fan-out heterogeneous integration solution XDFOI™ for 2.5D/3D packaging achieved HVM, providing high-performance chiplet package solutions and production capacity for global customers. In collaboration with multiple customers in the field of high-density SiP technology, JCET has achieved the development and mass production of multiple RFFE modules and AiP modules in the 5G millimeter-wave market. The company is intensifying its market exploration in sectors such as automotive electronics, industrial electronics, and high-performance computing. During the reporting period, revenue from automotive electronics achieved a year-on-year growth of 130%. The company has established a subsidiary with controlling stake in the Lingang New Area of Shanghai, reinforcing its strategic capacity layout in the field of automotive electronics.
In addition, the company has optimized various operational expenses and asset structures, maintaining a stable cash flow capability. It has achieved positive free cash flow for 15 consecutive quarters.
While pursuing its own development, JCET actively engages in philanthropic efforts, contributing to society in areas such as health and environmental protection, disaster relief during floods, and science popularization initiatives.
Mr. Li Zheng, CEO of JCET, said, “JCET has always centered its focus on customers, and achieved quarter-on-quarter growth in performance for the second quarter of this year. Looking ahead, the direction of high-performance advanced packaging technology driving the innovation of the IC industry has become increasingly clear. JCET remains committed to achieving high-quality development through professional and international management, and will continue to create value for investors and the IC industry.”
For more information, please refer to the JCET 1H FY2023 Report.
About JCET Group
JCET Group is the world’s leading integrated-circuit manufacturing and technology services provider, offering a full range of turnkey services that include semiconductor package integration design and characterization, R&D, wafer probe, wafer bumping, package assembly, final test and drop shipment to vendors around the world.
Our comprehensive portfolio covers a wide spectrum of semiconductor applications such as mobile, communication, compute, consumer, automotive and industry etc., through advanced wafer level packaging, 2.5D/3D, System-in-Packaging, and reliable flip chip and wire bonding technologies. JCET Group has two R&D centers in China and Korea, six manufacturing locations in China, Korea and Singapore, and sales centers around the world, providing close technology collaboration and efficient supply-chain manufacturing to customers in China and around the world.
CONSOLIDATED BALANCE SHEET (Unaudited) |
RMB in millions |
||||||||
Jun 30, 2023 |
Dec 31, 2022 |
||||||||
ASSETS |
|||||||||
Current assets |
|||||||||
Currency funds |
5,352 |
2,459 |
|||||||
Trading financial assets |
2,006 |
4,316 |
|||||||
Derivative financial assets |
0 |
18 |
|||||||
Accounts receivable |
3,545 |
3,689 |
|||||||
Receivables financing |
105 |
59 |
|||||||
Prepayments |
127 |
110 |
|||||||
Other receivables |
63 |
61 |
|||||||
Inventories |
3,003 |
3,152 |
|||||||
Other current assets |
251 |
279 |
|||||||
Total current assets |
14,452 |
14,143 |
|||||||
Non-current assets |
|||||||||
Long-term receivables |
41 |
40 |
|||||||
Long-term equity investments |
744 |
765 |
|||||||
Other equity investments |
456 |
440 |
|||||||
Investment properties |
87 |
89 |
|||||||
Fixed assets |
19,574 |
19,517 |
|||||||
Construction in progress |
710 |
807 |
|||||||
Right-of-use assets |
567 |
578 |
|||||||
Intangible assets |
483 |
483 |
|||||||
Goodwill |
2,293 |
2,210 |
|||||||
Long-term prepaid expenses |
22 |
28 |
|||||||
Deferred tax assets |
274 |
247 |
|||||||
Other non-current assets |
106 |
61 |
|||||||
Total non-current assets |
25,357 |
25,265 |
|||||||
Total assets |
39,809 |
39,408 |
|||||||
LIABILITIES AND EQUITY |
Jun 30, 2023 |
Dec 31, 2022 |
|||||||
Current liabilities |
|||||||||
Short-term borrowings |
1,211 |
1,174 |
|||||||
Derivative financial liabilities |
2 |
0 |
|||||||
Notes payable |
215 |
339 |
|||||||
Accounts payable |
4,603 |
4,634 |
|||||||
Contract liabilities |
273 |
214 |
|||||||
Employee benefits payable |
689 |
984 |
|||||||
Taxes and surcharges payable |
158 |
210 |
|||||||
Other payables |
396 |
378 |
|||||||
Current portion of long-term liabilities |
2,857 |
3,096 |
|||||||
Other current liabilities |
4 |
4 |
|||||||
Total current liabilities |
10,408 |
11,033 |
|||||||
Non-current liabilities |
|||||||||
Long-term borrowings |
3,013 |
2,721 |
|||||||
Lease liabilities |
549 |
562 |
|||||||
Long-term employee benefits payable |
11 |
14 |
|||||||
Deferred income |
362 |
340 |
|||||||
Deferred tax liabilities |
14 |
40 |
|||||||
Other non-current liabilities |
41 |
55 |
|||||||
Total non-current liabilities |
3,990 |
3,732 |
|||||||
Total liabilities |
14,398 |
14,765 |
|||||||
Equity |
|||||||||
Paid-in capital |
1,787 |
1,780 |
|||||||
Capital reserves |
15,265 |
15,080 |
|||||||
Accumulated other comprehensive income |
750 |
400 |
|||||||
Specialized reserves |
2 |
0 |
|||||||
Surplus reserves |
229 |
229 |
|||||||
Unappropriated profit |
7,292 |
7,154 |
|||||||
Total equity attributable to owners of the parent |
25,325 |
24,643 |
|||||||
Minority shareholders |
86 |
0 |
|||||||
Total equity |
25,411 |
24,643 |
|||||||
Total liabilities and equity |
39,809 |
39,408 |
|||||||
CONSOLIDATED INCOME STATEMENT (Unaudited) |
RMB in millions, except share data |
||||||||
Three months ended |
Six months ended |
||||||||
Jun 30, 2023 |
Jun 30, 2022 |
Jun 30, 2023 |
Jun 30, 2022 |
||||||
Revenue |
6,313 |
7,455 |
12,173 |
15,594 |
|||||
Less: Cost of sales |
5,359 |
6,107 |
10,525 |
12,706 |
|||||
Taxes and surcharges |
27 |
27 |
47 |
43 |
|||||
Selling expenses |
51 |
48 |
100 |
97 |
|||||
Administrative expenses |
175 |
236 |
347 |
494 |
|||||
Research and development expenses |
360 |
315 |
669 |
638 |
|||||
Finance expenses |
(7) |
(8) |
51 |
15 |
|||||
Including: Interest expenses |
68 |
49 |
131 |
92 |
|||||
Interest income |
27 |
9 |
35 |
16 |
|||||
Add: Other income |
40 |
26 |
73 |
83 |
|||||
Investment income / (loss) |
(24) |
28 |
(21) |
40 |
|||||
Including: Income / (loss) from investments in associates and joint ventures |
(10) |
(2) |
(21) |
(7) |
|||||
Gain / (loss) on changes in fair value of financial assets/liabilities |
37 |
(17) |
46 |
(14) |
|||||
Credit impairment (loss is expressed by “-“) |
(6) |
2 |
(1) |
(5) |
|||||
Asset impairment (loss is expressed by “-“) |
(5) |
(65) |
0 |
(64) |
|||||
Gain / (loss) on disposal of assets |
13 |
9 |
16 |
23 |
|||||
Operating profit / (loss) |
403 |
713 |
547 |
1,664 |
|||||
Add: Non-operating income |
2 |
1 |
3 |
6 |
|||||
Less: Non-operating expenses |
0 |
1 |
4 |
1 |
|||||
Profit / (loss) before income taxes |
405 |
713 |
546 |
1,669 |
|||||
Less: Income tax expenses |
19 |
31 |
50 |
126 |
|||||
Net profit / (loss) |
386 |
682 |
496 |
1,543 |
|||||
Classified by continuity of operations |
|||||||||
Profit / (loss) from continuing operations |
386 |
682 |
496 |
1,543 |
|||||
Classified by ownership |
|||||||||
Net profit / (loss) attributable to owners of the parent |
386 |
682 |
496 |
1,543 |
|||||
Net profit / (loss) attributable to minority shareholders |
0 |
0 |
0 |
0 |
|||||
Add: Unappropriated profit at beginning of period |
7,264 |
5,196 |
7,154 |
4,335 |
|||||
Less: Cash dividends declared |
358 |
356 |
358 |
356 |
|||||
Unappropriated profit at end of period (attributable to owners of the parent) |
7,292 |
5,522 |
7,292 |
5,522 |
|||||
Other comprehensive income, net of tax |
481 |
419 |
350 |
386 |
|||||
Comprehensive income attributable to owners of the parent |
481 |
419 |
350 |
386 |
|||||
Comprehensive income not be reclassified to profit or loss |
6 |
0 |
17 |
0 |
|||||
Remeasurement gains or losses of a defined benefit plan |
0 |
0 |
1 |
0 |
|||||
Change in the fair value of other equity investments |
6 |
0 |
16 |
0 |
|||||
Comprehensive income to be reclassified to profit or loss |
475 |
419 |
333 |
386 |
|||||
Comprehensive income using the equity method that may be reclassified to profit or loss |
0 |
(7) |
0 |
(7) |
|||||
Cash flow hedge reserve |
0 |
(13) |
0 |
(18) |
|||||
Exchange differences of foreign currency financial statements |
475 |
439 |
333 |
411 |
|||||
Total comprehensive income |
867 |
1,101 |
846 |
1,929 |
|||||
Including: |
|||||||||
Total comprehensive income attributable to owners of the parent |
867 |
1,101 |
846 |
1,929 |
|||||
Total comprehensive income attributable to minority shareholders |
0 |
0 |
0 |
0 |
|||||
Earnings per share |
|||||||||
Basic earnings per share |
0.22 |
0.39 |
0.28 |
0.87 |
|||||
Diluted earnings per share |
0.22 |
0.39 |
0.28 |
0.87 |
CONSOLIDATED CASH FLOW STATEMENT (Unaudited) |
RMB in millions |
||||||||
Three months ended |
Six months ended |
||||||||
Jun 30, 2023 |
Jun 30, 2022 |
Jun 30, 2023 |
Jun 30, 2022 |
||||||
CASH FLOWS FROM OPERATING ACTIVITIES |
|||||||||
Cash receipts from the sale of goods and the rendering of services |
6,178 |
8,184 |
13,162 |
16,999 |
|||||
Receipts of taxes and surcharges refunds |
122 |
32 |
216 |
147 |
|||||
Other cash receipts relating to operating activities |
110 |
62 |
163 |
132 |
|||||
Total cash inflows from operating activities |
6,410 |
8,278 |
13,541 |
17,278 |
|||||
Cash payments for goods and services |
4,069 |
5,766 |
8,454 |
11,612 |
|||||
Cash payments to and on behalf of employees |
878 |
1,060 |
2,072 |
2,309 |
|||||
Payments of all types of taxes and surcharges |
254 |
314 |
466 |
501 |
|||||
Other cash payments relating to operating activities |
22 |
93 |
128 |
171 |
|||||
Total cash outflows from operating activities |
5,223 |
7,233 |
11,120 |
14,593 |
|||||
Net cash flows from operating activities |
1,187 |
1,045 |
2,421 |
2,685 |
|||||
CASH FLOWS FROM INVESTING ACTIVITIES |
|||||||||
Cash receipts from returns of investments |
4,350 |
4,160 |
8,280 |
5,160 |
|||||
Cash receipts from investment income |
38 |
32 |
52 |
38 |
|||||
Net cash receipts from disposal of fixed assets, intangible assets and other long-term assets |
7 |
8 |
32 |
34 |
|||||
Net cash receipts from disposal of subsidiaries and other business units |
0 |
(1) |
0 |
27 |
|||||
Total cash inflows from investing activities |
4,395 |
4,199 |
8,364 |
5,259 |
|||||
Cash payments to acquire fixed assets, intangible assets and other long-term assets |
749 |
651 |
1,588 |
1,550 |
|||||
Cash payments for investments |
3,200 |
4,310 |
5,980 |
5,960 |
|||||
Total cash outflows from investing activities |
3,949 |
4,961 |
7,568 |
7,510 |
|||||
Net cash flows from investing activities |
446 |
(762) |
796 |
(2,251) |
|||||
CASH FLOWS FROM FINANCING ACTIVITIES |
|||||||||
Cash proceeds from investments by others |
230 |
0 |
230 |
0 |
|||||
Including: Cash receipts from capital contributions from minority shareholders of subsidiaries |
86 |
0 |
86 |
0 |
|||||
Cash receipts from borrowings |
1,317 |
985 |
1,664 |
1,515 |
|||||
Total cash inflows from financing activities |
1,547 |
985 |
1,894 |
1,515 |
|||||
Cash repayments for debts |
755 |
988 |
1,740 |
1,734 |
|||||
Cash payments for distribution of dividends or profit and interest expenses |
414 |
49 |
467 |
90 |
|||||
Other cash payments relating to financing activities |
16 |
446 |
48 |
589 |
|||||
Total cash outflows from financing activities |
1,185 |
1,483 |
2,255 |
2,413 |
|||||
Net cash flows from financing activities |
362 |
(498) |
(361) |
(898) |
|||||
EFFECT OF EXCHANGE RATE CHANGES ON CASH AND CASH EQUIVALENTS |
45 |
59 |
37 |
57 |
|||||
NET INCREASE IN CASH AND CASH EQUIVALENTS |
2,040 |
(156) |
2,893 |
(407) |
|||||
Add: Cash and cash equivalents at beginning of period |
3,306 |
2,512 |
2,453 |
2,763 |
|||||
CASH AND CASH EQUIVALENTS AT END OF PERIOD |
5,346 |
2,356 |
5,346 |
2,356 |
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Fintech PR
Rule 10b-5 Private Securities-Fraud Litigation Peaked in 4Q’24
BETHESDA, Md., Jan. 10, 2025 /PRNewswire/ — SAR, a data analytics company specialized in the securities litigation risk of U.S. public companies, today published the Securities Class Action Rule 10b-5 Exposure Report for 4Q 2024. According to the report, securities litigation exposure of public company defendants that trade in the NYSE and NASDAQ peaked during the fourth quarter of 2024, when records were set across the buoyant U.S. equity markets. During the bullish market conditions of 2024, shareholders claimed approx. $665.2 billion in market capitalization losses due to alleged violations of Rule 10b-5 – the most in the last five years.
According to the report, global quarterly Rule 10b-5 securities litigation exposure in 2024 was 17% greater than the average of 2023. Actual monetary settlements with investor plaintiffs last year were, on average, 23% greater than during the last six years.
SAR data and analysis indicate that the litigation exposure of U.S. public company defendants amounts to approximately $380.3 billion in 2H 2024. Shareholders claimed approximately $4.0 billion in market capitalization losses per securities class action filing, and approximately $2.0 billion per allegedly fraud-related stock drop in 2H 2024. The former metric increased by 32.1%, and the latter by 15.4% during the second half of 2024.
“Our data and analyses indicate that securities litigation exposure against U.S. public companies peaked in the fourth quarter of last year. This peak may be short-lived with an expected increase in volatility and new headwinds for U.S. equities given greater shareholder scrutiny of corporate disclosures. With average Rule 10b-5 settlements over 20% greater in 2024 than during the last six years, litigation activity is expected to increase in 2025,” said Anthony Kabanek, EVP of SAR.
According to the report, in 2023 and 2024 investor plaintiffs claimed $13.6 billion and $20.5 billion, respectively, in private Rule 10b-5 securities-fraud class actions that relied on short-seller research.
Key takeaways:
- 86 U.S. issuers were sued for alleged violations of Rule 10b-5 during 2H 2024. Based on allegations presented in the first-filed class action complaint against each defendant issuer, U.S. SCA Rule 10b-5 Exposure amounts to $259.4 billion. U.S. SCA Rule 10b-5 Exposure decreased -5.4% relative to 1H 2024.
- U.S. SCA Rule 10b-5 Exposure peaked in the 2nd and 3rd quarters, followed by a decline to trend in the 4th quarter of 2024.
- 9 Non-U.S. issuers were sued for alleged violations of Rule 10b-5 during 2H 2024. Based on allegations presented in the first-filed class action complaint against each defendant issuer, ADR SCA Rule 10b-5 Exposure amounts to $120.9 billion. ADR SCA Rule 10b-5 Exposure increased by 11.3x relative to 1H 2024.
- An anomalously high 4th quarter exposure among Non-U.S. issuers contributed to a remarkably volatile year for ADR SCA Rule 10b-5 Exposure.
- Rule 10b-5 private securities-fraud filing frequency and potential loss severity need not move in tandem. Global exposure increased by approximately 34% in the 2H 2024 relative to 1H 2024, while filing frequency remained relatively stable.
- 38 U.S. Large Caps were sued for alleged violations of Rule 10b-5 in 2H 2024, the same observed frequency as 1H 2024. The U.S. Large Cap SCA Rule 10b-5 Exposure amounts to $233.7 billion, a decrease of 10.1% relative to 1H 2024.
- 22 U.S. Mid Caps were sued for alleged violations of Rule 10b-5 In 2H 2024. The U.S. Mid Cap SCA Rule 10b-5 Exposure amounts to $19.8 billion, more than 3 times the amount in 1H 2024.
- 26 U.S. Small Caps were sued for alleged violations of Rule 10b-5. The U.S. Small Cap SCA Rule 10b-5 Exposure amounts to $5.9 billion, a decrease of 33% relative to 1H 2024.
- 9 Non-U.S. issuers that trade via ADRs in the U.S. public markets were sued for alleged violations of Rule 10b-5. The ADR SCA Rule 10b-5 Exposure increased by over 11.3x to ~$121 billion, relative to 1H 2024.
Media contact: [email protected]
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Fintech PR
Sobi’s full year 2024 revenue higher than previous estimate
STOCKHOLM, Jan. 10, 2025 /PRNewswire/ — Swedish Orphan Biovitrum AB (publ) (Sobi®) (STO:SOBI) announces today that revenue for the full year 2024 was higher than previous estimate. Full-year revenue was approximately SEK 26,000 M, representing approximately 19% growth at constant exchange rate (CER) (1). Adjusted EBITA margin (1,2) was in the mid-30s per cent of revenues.
The main reasons for the increased revenue are higher sales than expected in Q4 across the Haemophilia portfolio and for Kineret.
- Altuvoct: Higher than expected rate of new patients switching to Altuvoct in markets where the product has been launched, mainly Germany and Switzerland.
- Elocta: Benefited from higher patient numbers across markets and in markets where Altuvoct is launched there were less switches than expected from Elocta. Favorable gross-to-net effects were also observed.
- Alprolix: Higher than expected number of new patients as well as increase in on-demand treatments across Europe.
- Kineret: Higher than expected sales driven mainly by positive gross-to-net adjustments and favorable order phasing but also supported by increased demand.
- The adjusted EBITA margin remained in the expected range as the stronger revenue performance was offset by negative mix effects on the gross margin as well as investments into our launch and pipeline products in the fourth quarter.
At the publication of the Q3 2024 report on 24 October 2024 Sobi stated the outlook for the full year 2024 to be: Revenue was anticipated to grow by a mid-teens percentage at CER and adjusted EBITA margin was anticipated to be in the mid-30s per cent of revenue.
Sobi will announce its fourth quarter and full year 2024 report on Wednesday 5 February 2025 at 8:00 am CET.
About Sobi
Sobi® is a specialised international biopharmaceutical company transforming the lives of people with rare and debilitating diseases. Providing reliable access to innovative medicines in the areas of haematology, immunology, and specialty care, Sobi has approximately 1,800 employees across Europe, North America, the Middle East, Asia, and Australia. In 2023, revenue amounted to SEK 22.1 billion. Sobi’s share (STO:SOBI) is listed on Nasdaq Stockholm. More about Sobi at sobi.com and LinkedIn.
Contacts
For details on how to contact the Sobi Investor Relations Team, please click here. For Sobi Media contacts, click here.
This information is information that Sobi is obliged to make public pursuant to the EU Market Abuse Regulation. The information was submitted for publication, through the agency of the contact person set out below, at 18:00 CET on 10 January 2025.
Gerard Tobin
Head of Investor Relations
[1] Alternative Performance Measures (APMs).
[2] Excluding items affecting comparability (IAC).
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Fintech PR
Knowledge Graph Market worth $6,938.4 million by 2030 – Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., Jan. 10, 2025 /PRNewswire/ — The Knowledge Graph Market is expected to reach USD 6,938.4 million by 2030 from USD 1,068.4 million in 2024, at a Compound Annual Growth Rate (CAGR) of 36.6% from 2024–2030, according to new research report by MarketsandMarkets™.
The knowledge graphs ensure enterprise knowledge management through the rebuilding of complex data with interconnected nodes and relationships by providing a simpler way to navigate and retrieve information. It helps businesses build a fully comprehensive knowledge graph uniting disparate data sources, enables complex semantic search, context-aware recommendations, and data discovery. Knowledge graphs support better decision-making, foster innovation, and improve cooperation across teams by mapping relationships between organizational knowledge. They are particularly useful for large organizations, which depend on accessing and utilizing vast amounts of structured and unstructured data to be productive and competitive.
Browse in-depth TOC on “Knowledge Graph Market “
344 – Tables
51 – Figures
359 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=217920811
Scope of the Report
Report Metrics |
Details |
Market size available for years |
2019–2030 |
Base year considered |
2024 |
Forecast period |
2024–2030 |
Forecast units |
Value (USD Million) |
Segments Covered |
(solutions (enterprise knowledge graph platform, graph database engine, knowledge management toolset) services ( professional services, managed services) by model type (Resource Description Framework (RDF) Triple Stores, Labeled Property Graph (LPG)) by applications (data governance and master data management, data analytics and business intelligence, knowledge and content management , virtual assistants, self-service data and digital asset discovery, product and configuration management, infrastructure and asset management, process optimization and resource management, risk management, compliance, regulatory reporting, market and customer intelligence, sales optimization, other applications) by vertical (Banking, Financial Services, and Insurance (BFSI), retail and eCommerce, healthcare, life sciences, and pharmaceuticals telecom and technology, government, manufacturing and automotive, media & entertainment, energy, utilities and infrastructure, travel and hospitality, transportation and logistics, other vertical) |
Region covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
Companies covered |
IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Openlink Software (US), Graphwise (US), Altair (US), Bitnine ( South Korea) ArangoDB (US), Fluree (US), Memgraph (UK), GraphBase (Australia), Metaphacts (Germany), Relational AI (US), Wisecube (US), Smabbler (Poland), Onlim (Austria), Graphaware (UK), Diffbot (US), Eccenca (Germany), Conversight (US), , Semantic Web Company (Austria), ESRI (US) |
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By vertical, the BFSI segment to hold the largest market size during the forecast period.
The knowledge graphs serve as a strong foundation for relating customer data, transactions history, credit scores, and risk profiles within the BFSI (Banking, Financial Services, and Insurance) sector, allowing the exact relationship mapping and insights. These are also employed in fraud detection through real-time identification of hidden patterns and for regulatory compliance with standards such as AML (Anti Money Laundering) and KYC (know Your Customer), where data can be traced and is transparent. In banking, knowledge graphs facilitate credit risk analysis which makes the process of loan approval more efficient, in insurance by linking policies, claims data, and fraud indicators thus optimizing claims processing. All these will, when combined with other data points, produce AI-powered applications: personalized advice-based solutions on finances and intelligent virtual assistants, which will create operational efficiency and improved customer experience in BFSI.
Virtual assistants, self-service data, and digital asset discovery segment to have the highest growth during the forecast period.
Knowledge graphs are essential for building virtual assistants, self-service data platforms, and even digital asset discovery, for they build interconnected data networks that help in enhancing the searchability and insights. Virtual assistants use knowledge graphs to provide context-sensitive responses that improve user interactions and provide tailored recommendations. Self-service data platforms use knowledge graphs to allow business users to access and analyze complex datasets without technical help, which helps them to make better decisions. They make the identification and classification of digital resources, such as documents or media, easier through linking metadata and content relationships for the discovery of digital assets. This capability enables effective resource management, innovation, and improvement in user experience in areas such as content creation, research, and enterprise workflows.
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Asia Pacific is expected to witness the highest market growth rate during the forecast period.
The knowledge graph landscape is rapidly evolving in Asia Pacific, with initiatives across various domains. In December 2022, the National Library Board (NLB), Singapore, launched a Linked Data-based Semantic Knowledge Graph to merge resources from libraries and archives using BIBFRAME and Schema.org vocabularies for seamless updating and improved data quality. HydroKG in Australia merges hydrologic data from resources such as GeoFabric and HydroATLAS that allow for pinpoint queries on water bodies and river networks, enabling better environmental management. Japan uses knowledge graphs in manufacturing for supply chain optimization and South Korea uses it in telecommunications to enhance the customer experience through personalized AI.
Top Key Companies in Knowledge Graph Market
The major vendors covered in the Knowledge graph market are IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Openlink Software (US), Graphwise (US), Altair (US), Bitnine ( South Korea) ArangoDB (US), Fluree (US), Memgraph UK), GraphBase (Australia), Metaphacts (Germany), Relational AI (US), Wisecube (US), Smabbler (Poland), Onlim (Austria), Graphaware (UK), Diffbot (US), Eccenca (Germany), Conversight (US), Semantic Web Company (Austria), ESRI (US), Datavid (UK), and SAP (Germany). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the Knowledge graph market.
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