Whose purse was filled with the big data wave?

While veteran teams such as IBM and Intel are gobbling up the huge profits from the big data markets, innovative start-ups are the core force for the future of the market, research firm Wikibon found.

According to Wikibon, a professional research firm, if the big data market is quantified, its current total value is more than $5 billion trillion, and much of it is held in the hands of several traditional IT leaders. And when the capital infusions of these giants Ganci with the innovative Up-and-comer, the market's total value will reach $10.2 billion trillion for 2013 years, and by 2017 the figure has climbed to a 53 billion dollar peak.

But it may well be less rosy. We'd better take a skeptical look at Wikibon's findings, as the company itself says it's only a conjecture. According to the current situation, the large data market itself does not exist. Instead, there are now dozens of companies that provide fragmented hardware, software, and services under the unified concept of large data--in other words, these products and services are actually simply processing and analyzing data sets that are too large for traditional database tools and technologies. Large data applications range from collecting unstructured social data to measuring customer consumption trends to promoting medical research or climate change, ensuring flight uptime, and improving computer security.

Wikibon's assessment shows that big-name manufacturers such as IBM, Intel, Hewlett-Packard and Oracle have invested heavily in the booming data industry, partly thanks to the company's strong base of strength, and the emerging big data companies that have sprung up in recent months. In addition, independent manufacturers such as Cloudera and 1010data are also rising rapidly, striving to play their own creative space in the huge market demand. The big data market, with a total value of $5 billion trillion, now has 44% of its share of service products, 31% from hardware sales and software support for another 25%.

Wikibon Company found that IBM accounted for the largest market share of large data, the total value of about 1 billion U.S. dollars. Intel has a large data operating income of 765 million U.S. dollars, and Hewlett-Packard ranked third, with 550 million dollars. The above figures actually account for only 1% of the total revenue of these giants. Teradata, the fifth-largest company, has a large data market share of 220 million dollars, but it accounts for 10% of the company's overall revenue.

Wikibon also emphasized that companies with large data products and services that accounted for more than 50% per cent of revenues in revenue should be called "professional data" companies. It is noteworthy that three of the top four professional data companies have recently been acquired: The Vertica company, whose large data revenues amounted to $84 million, was recently recruited by HP. Aster data, which earned $52 million trillion in large numbers, was subsumed under Teradata last March. Greenplum has 430 million dollars in revenue for large data and is currently owned by EMC.

According to Wikibon company's statistics, there are several professional data enterprises worthy of attention. Splunk, which has a large data-field revenue of $45 million trillion, and its overall operating income is only 63 million dollars. Cloudera, which is currently working with Oracle on Hadoop equipment, gets 18 million dollars in the big data business, which is also the source of all revenue for the company. At the same time, 1010Data also received 30 million dollars in revenue from large data businesses, accounting for half of the company's total revenue. The other listed professional data companies also include the 8 million-dollar revenue figure, analytics, 7 million-dollar MAPR and 6 million-dollar digital reasoning.

Wikibon companies believe that it is these innovative competition and the threat of strength of the new forces to join in the competition, only to make large data areas continue to prosper, while the traditional IT industry giants will also be eager to merge these not big competitors. "Acquisitions are a more sensible approach, because it will allow the firms in the big data field to survive, and more importantly, whether they are attached to large enterprises or fumbling alone in the stormy waters of the market, we must admit that these small businesses are the real contributors to the rapid growth of the big data market. Jeff Kelly, chief research writer at Wikibon, wrote in the report.

The list of professional large data companies is still expanding, and its business involves large data applications that have huge potential in all areas. Take Cloudera and Hortonworks as examples, they "are in charge of the core technical work of the Apache Hadoop project and have significantly improved the performance of the open source large data framework and the necessary preparations to implement at the enterprise level," Kelly noted.

At the same time, companies like Splunk, HPCC Bae and DataStax are trying to build their own non-Hadoop large data platforms.

Vertica, Greenplum and aster data (again, the three companies have been acquired), because of its "large-scale parallel, columnar analytical database with fast data reading and real-time analysis capabilities," the market has brought great shock, and therefore praised by the industry , Kelly wrote in the report.

In addition, emerging companies, including Clickfox, Tresata and 1010Data, have come up with a viable "big data-as-service" scenario-these cloud-based offerings will enable small and medium-sized businesses to enjoy the benefits of the big data age. Here we should know whose purse is filled with the big data wave.

(Responsible editor: The good of the Legacy)