Artificial Intelligence
Open-source intelligence (OSINT) Market Size In 2022 (New Report) revised size of US$ 6077.8 million by 2028| With Impact of domestic and global market Top players: Manufacturers Data, Regions and Future
PUNE, Nov. 10, 2022 (GLOBE NEWSWIRE) — “Open-source intelligence (OSINT) Market” research report focus on overall information that can help to take decisions on current market situation. Open-source intelligence (OSINT) is data collected from publicly available sources to be used in an intelligence context. In the intelligence community, the term “open” refers to overt, publicly available sources (as opposed to covert or clandestine sources).
Open-source intelligence (OSINT) Market Report Contains: –
- Complete overview of the global Open-source intelligence (OSINT) Market
- Top Country data and analysis for United States, Canada, Mexico, Germany, France, United Kingdom, Russia, Italy, China, Japan, Korea, India, Southeast Asia, Australia, Brazil and Saudi Arabia, etc. It also throws light on the progress of key regional Open-source intelligence (OSINT) markets such as North America, Europe, Asia-Pacific, South America and Middle East and Africa
- Description and analysis of Open-source intelligence (OSINT) market potential by type, Deep Dive, disruption, application capacity, end use industry
- impact evaluation of most important drivers and restraints, and dynamics of the global Open-source intelligence (OSINT) market and current trends in the enterprise
- Detailed profiles of the Top major players in the industry, including. Thales Group,Palantir Technologies,Verint,Micro Focus,Recorded Future,Expert System,Sail Labs Technology,RESI,Cyware,Hypersight
Open-source intelligence (OSINT) Market Segmentation: –
researcher’s latest report provides a deep insight into the global Open-source intelligence (OSINT) market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc.
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Report Overview
Due to the COVID-19 pandemic and Russia-Ukraine War Influence, the global market for Open Source Intelligence (OSINT) estimated at US$ 4236.4 million in the year 2022, is projected to reach a revised size of US$ 6077.8 million by 2028, growing at a CAGR of 6.2% during the forecast period 2022-2028.
Open Source Intelligence (OSINT) is the collection and analysis of information that is gathered from public, or open, sources. OSINT is primarily used in national security, law enforcement, and business intelligence functions and is of value to analysts who use non-sensitive intelligence in answering classified, unclassified, or proprietary intelligencerequirements across the previous intelligence disciplines. OSINT sources can be divided up into six different categories of information flow including Media, Internet, Public Government Data, Professional and Academic Publications, Commercial Data and Grey Literature.
Report Scope
This latest report researches the industry structure, revenue and gross margin. Major players’ headquarters, market shares, industry ranking and profiles are presented. The primary and secondary research is done in order to access up-to-date government regulations, market information and industry data. Data were collected from the Open Source Intelligence (OSINT) companies, distributors, end users, industry associations, governments’ industry bureaus, industry publications, industry experts, third party database, and our in-house databases.
This report also includes a discussion of the major players across each regional Open Source Intelligence (OSINT) market. Further, it explains the major drivers and regional dynamics of the global Open Source Intelligence (OSINT) market and current trends within the industry.
Open-source intelligence (OSINT) Market segments help decision-makers direct the product, sales, and marketing strategies, and can power your product development cycles by informing how you make product offerings for different segments.
Segment by Type
- Video Analytics
- Text Analytics
- Visualization Tool
- Cyber Security
- Web Analysis
- Social Media Analysis
- Others
- Open Source Intelligence (OSINT)
Segment by Application
- Private Sector
- Public Sector
- Other
Market segment by Region/Country including: –
- North America (United States, Canada, and Mexico)
- Europe (Germany, UK, France, Italy, Russia and Spain, etc.)
- Asia-Pacific (China, Japan, Korea, India, Australia, Southeast Asia, etc.)
- South America (Brazil, Argentina, Colombia, etc.)
- Middle East & Africa (South Africa, UAE, Saudi Arabia, etc.)
Key Companies Covered
In this section of the report, the researchers have done a comprehensive analysis of the prominent players operating and the strategies they are focusing on to combat the intense competition. Company profiles and market share analysis of the prominent players are also provided in this section. Additionally, the specialists have done an all-encompassing analysis of each player. They have also provided reliable revenue, market share and rank data of the companies for the period 2017-2022. With the assistance of this report, key players, stakeholders, and other participants will be able to stay abreast of the recent and upcoming developments in the business, further enabling them to make efficient choices. Mentioned below are the prime players taken into account in this research report:
Key Players in the Open-source intelligence (OSINT) Market: –
- Thales Group
- Palantir Technologies
- Verint
- Micro Focus
- Recorded Future
- Expert System
- Sail Labs Technology
- RESI
- Cyware
- Hypersight
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Key Benefits of Open-source intelligence (OSINT) Market Research Report:
- Types, applications, regions, and key players covered in the study
- Industry drivers, restraints, and opportunities covered in the study
- Recent industry trends and developments
- Competitive landscape & strategies of key players
- Historical, current, and projected market size, in terms of value
- In-depth analysis of the Artificial Intelligence AI Chips Market
- Sales, price, revenue, market share, and growth rate are covered in the report sales channels, distributors, traders, dealers, etc. are covered in the report
Detailed TOC of Global Open Source Intelligence (OSINT) Industry Research Report, Growth Trends and Competitive Analysis 2022-2028
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Open Source Intelligence (OSINT) Market Size Growth Rate by Type: 2017 VS 2021 VS 2028
1.2.2 Video Analytics
1.2.3 Text Analytics
1.2.4 Visualization Tool
1.2.5 Cyber Security
1.2.6 Web Analysis
1.2.7 Social Media Analysis
1.2.8 Others
1.3 Market by Application
1.3.1 Global Open Source Intelligence (OSINT) Market Growth Rate by Application: 2017 VS 2021 VS 2028
1.3.2 Private Sector
1.3.3 Public Sector
1.3.4 Other
1.4 Study Objectives
1.5 Years Considered
2 Market Perspective
2.1 Global Open Source Intelligence (OSINT) Market Size (2017-2028)
2.2 Open Source Intelligence (OSINT) Market Size across Key Geographies Worldwide: 2017 VS 2021 VS 2028
2.3 Global Open Source Intelligence (OSINT) Market Size by Region (2017-2022)
2.4 Global Open Source Intelligence (OSINT) Market Size Forecast by Region (2023-2028)
2.5 Global Top Open Source Intelligence (OSINT) Countries Ranking by Market Size
3 Open Source Intelligence (OSINT) Competitive by Company
3.1 Global Open Source Intelligence (OSINT) Revenue by Players
3.1.1 Global Open Source Intelligence (OSINT) Revenue by Players (2017-2022)
3.1.2 Global Open Source Intelligence (OSINT) Market Share by Players (2017-2022)
3.2 Global Open Source Intelligence (OSINT) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Company Covered: Ranking by Open Source Intelligence (OSINT) Revenue
3.4 Global Open Source Intelligence (OSINT) Market Concentration Ratio
3.4.1 Global Open Source Intelligence (OSINT) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Open Source Intelligence (OSINT) Revenue in 2021
3.5 Global Open Source Intelligence (OSINT) Key Players Head office and Area Served
3.6 Key Players Open Source Intelligence (OSINT) Product Solution and Service
3.7 Date of Enter into Open Source Intelligence (OSINT) Market
3.8 Mergers & Acquisitions, Expansion Plans
And More…
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Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Open Source Intelligence (OSINT) market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Report Includes:
This report presents an overview of global market for Open Source Intelligence (OSINT) market size. Analyses of the global market trends, with historic market revenue data for 2017 – 2021, estimates for 2022, and projections of CAGR through 2028.
This report researches the key producers of Open Source Intelligence (OSINT), also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Open Source Intelligence (OSINT), and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Open Source Intelligence (OSINT) revenue, market share and industry ranking of main companies, data from 2017 to 2022. Identification of the major stakeholders in the global Open Source Intelligence (OSINT) market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2017 to 2028. Evaluation and forecast the market size for Open Source Intelligence (OSINT) revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Thales Group, Palantir Technologies, Verint, Micro Focus, Recorded Future, Expert System, Sail Labs Technology, RESI and Cyware, etc.
Key Reasons to Purchase
To gain insightful analyses of the market and have comprehensive understanding of the global Open-source intelligence (OSINT) market and its commercial landscape.
Assess the production processes, major issues, and solutions to mitigate the development risk.
To understand the most affecting driving and restraining forces in the Open-source intelligence (OSINT) market and its impact in the global market.
Learn about the Open-source intelligence (OSINT) market strategies that are being adopted by leading respective organizations.
To understand the future outlook and prospects for the Open-source intelligence (OSINT) market.
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Artificial Intelligence
PolyU research finds improving AI large language models helps better align with human brain activity
HONG KONG, May 27, 2024 /PRNewswire/ — With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study by The Hong Kong Polytechnic University (PolyU) found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.
Current large language models (LLMs) mostly rely on a single type of pretraining – contextual word prediction. This simple learning strategy has achieved surprising success when combined with massive training data and model parameters, as shown by popular LLMs such as ChatGPT. Recent studies also suggest that word prediction in LLMs can serve as a plausible model for how humans process language. However, humans do not simply predict the next word but also integrate high-level information in natural language comprehension.
A research team led by Prof. Li Ping, Dean of the Faculty of Humanities and Sin Wai Kin Foundation Professor in Humanities and Technology at PolyU, has investigated the next sentence prediction (NSP) task, which simulates one central process of discourse-level comprehension in the human brain to evaluate if a pair of sentences is coherent, into model pretraining and examined the correlation between the model’s data and brain activation. The study has been recently published in the academic journal Sciences Advances.
The research team trained two models, one with NSP enhancement and the other without, both also learned word prediction. Functional magnetic resonance imaging (fMRI) data were collected from people reading connected sentences or disconnected sentences. The research team examined how closely the patterns from each model matched up with the brain patterns from the fMRI brain data.
It was clear that training with NSP provided benefits. The model with NSP matched human brain activity in multiple areas much better than the model trained only on word prediction. Its mechanism also nicely maps onto established neural models of human discourse comprehension. The results gave new insights into how our brains process full discourse such as conversations. For example, parts of the right side of the brain, not just the left, helped understand longer discourse. The model trained with NSP could also better predict how fast someone read – showing that simulating discourse comprehension through NSP helped AI understand humans better.
Recent LLMs, including ChatGPT, have relied on vastly increasing the training data and model size to achieve better performance. Prof. Li Ping said, “There are limitations in just relying on such scaling. Advances should also be aimed at making the models more efficient, relying on less rather than more data. Our findings suggest that diverse learning tasks such as NSP can improve LLMs to be more human-like and potentially closer to human intelligence.”
He added, “More importantly, the findings show how neurocognitive researchers can leverage LLMs to study higher-level language mechanisms of our brain. They also promote interaction and collaboration between researchers in the fields of AI and neurocognition, which will lead to future studies on AI-informed brain studies as well as brain-inspired AI.”
Media ContactMs Annie WongSenior Manager, Public AffairsTel: +852 3400 3853Email: [email protected]
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PARIS, May 27, 2024 /PRNewswire/ — VivaTech 2024 broke records with more than 165,000 visitors over four days, a 10% increase over 2023. The event welcomed 13,500 start-ups, a 20% increase over the previous year.
A BUSINESS AND FINANCE ACCELERATOR
VivaTech has established itself as a key business event, generating more than 400,000 online business connections this year. Startups forged business relationships with companies from 25 sectors and met over 2,000 investors.
VIVA TECHNOLOGY CONFIRMS ITS INTERNATIONAL APPEAL
The event attracted representatives from more than 120 countries and 40 national pavilions. Japan, the country of the year, showcased its ecosystem with a ministerial delegation and more than 40 startups. Africa was also in the spotlight with the Africa Tech Lab and the AfricaTech Awards, honouring innovative startups such as Schoolz, Rology and Inclusivity Solutions.
AI AND SUSTAINABLE TECH AT THE HEART OF THE PROGRAMME
VivaTech 2024 showcased the latest advances in artificial intelligence, with nearly 40% of exhibitors dedicated to this technology. Sustainable tech was also in the spotlight, especially through the Impact Bridge, a space dedicated to initiatives for a sustainable future. VivaTech’s environmental efforts were rewarded with ISO 20-121 certification.
DIVERSITY MORE THAN EVER IN VIVATECH’S DNA
Diversity took centre stage where over 40% of speakers were women. Among the most notable initiatives, the Female Founder Challenge rewarded Albane Dersy from Inbolt. At the same time, Femtech France took advantage of the event to launch its second Femtech industry barometer.
THE MEETING PLACE FOR REVEALS, EXCLUSIVITIES AND INNOVATIONS
For four days, VivaTech was the scene of numerous revelations, with some fifty worldwide or European exclusives unveiled. Among these, Tesla’s Cybertruck made its first appearance in France, marking a highlight of the event.
INTERNATIONAL SPEAKERS
VivaTech 2024 consolidated its position as the must-attend technology event with over 400 international speakers sharing their visions on AI and sustainable tech. Speakers included Elon Musk, John Kerry, Eric Schmidt, Arthur Mensch, Robin Li, Linda Yaccarino and Serena and Venus Williams. Institutional figures such as Fumio Kishida, Bruno Le Maire and Thierry Breton also took an active part in the debates.
WE LOOK FORWARD TO SEEING YOU FROM 11 TO 14 JUNE 2025 AT PARIS PORTE DE VERSAILLES!
Contact: [email protected]
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Artificial Intelligence
Only Much Louder’s AI-powered influencer marketing tech, Hypothesis, expands globally, to empower brands to connect with international creators
OML Entertainment’s Hypothesis is targeting the Asia–Pacific Region, Middle East, Africa, and USA by 2025.Hypothesis will open borders for brands and agencies, facilitating a region-agnostic global platformMUMBAI, India, May 27, 2024 /PRNewswire/ — Only Much Louder’s AI-powered influencer marketing tech, Hypothesis, expands its global footprint, after revolutionizing the Indian influencer market. In the first phase, Hypothesis will be available in the Asia–Pacific region (Singapore, Australia, Malaysia, Philippines, Vietnam, Thailand), Middle Eastern countries (Abu Dhabi, GCC nations, Egypt, Lebanon, Saudi Arabia, Kuwait, Qatar) as well as in Africa (Kenya, Nigeria, South Africa) and the USA.
Himani Agrawal, Senior Vice President, Hypothesis-OML, said, “At Hypothesis, we’re proud to offer a comprehensive kit for creator evaluation using 100+ data points. We provide the ultimate tool for your marketing arsenal. This is made even more convenient with our self-serve mode, empowering brands to initiate impactful influencer campaigns independently.”
Hypothesis streamlines data-driven influencer marketing globally, after recognising a critical disconnect between creator technology and services. Hypothesis was created with an inherent potential to serve a global audience, by empowering brands and agencies to transcend geographical limitations and unite discovery, outreach, and analytics in a single, user-friendly platform. This will accelerate the growth of the creator economy, creating opportunities for creators and brands.
Gunjan Arya, CEO of OML Entertainment, said, “We will be closely monitoring the milestones of Hypothesis to infiltrate the markets at the rate of 5–10% in the first year. We will also keep an eye on the acquisition rate, which is aimed to rise by 15–20%. Besides, we seek to derive over 35% of revenue from our global expansion efforts.”
With Hypothesis, OML is strategizing to expand into markets like Australia, the Asia–Pacific, the Middle East, and Africa, due to the region’s influencer marketing industry, which stands at 33.4% CAGR. Regions like the USA and the MENA have emerged as key players that are driven by advanced technologies and demand for data analytics.
Leveraging OML’s successful presence in Southeast Asia, the Middle East, Africa, and Eastern Europe, Hypothesis is set for a smooth rollout. OML’s established network, combined with their in-house expertise, will provide a strong foundation for this endeavor.
For details, visit hyp.io
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