• Big Data & business analytics software worldwide revenues will grow from nearly $122B in 2015 to more than $187B in 2019, an increase of more than 50% over the five-year forecast period.
  • The market for prescriptive analytics software is estimated to grow from approximately $415M in 2014 to $1.1B in 2019, attaining a 22% CAGR.
  • By 2020, predictive and prescriptive analytics will attract 40% of enterprises’ net new investment in business intelligence and analytics.

Making enterprises more customer-centric, sharpening focus on key initiatives that lead to entering new markets and creating new business models, and improving operational performance are three dominant factors driving analytics, Big Data, and business intelligence (BI) investments today. Unleashing the insights hidden in unstructured data is providing enterprises with the potential to compete and improve in areas they had limited visibility into before. Examples of these areas include the complexity of B2B selling and service relationships,  healthcare services, and maintenance, repair, and overhaul (MRO) of complex machinery.

Presented below are a roundup of recent analytics and big data forecasts and market estimates:

  • Global revenue in the business intelligence (BI) and analytics market is forecast to reach $16.9B in 2016, an increase of 5.2% from 2015. Gartner predicts that the BI and analytics market is in the final stages of a multiyear shift from IT-led, system-of-record reporting to business-led, self-service analytics.
  • Big data and business analytics worldwide revenues will grow from nearly $122B in 2015 to more than $187B in 2019, an increase of more than 50% over the five-year forecast period. The industries that present the largest revenue opportunities are Discrete Manufacturing ($22.8B in 2019), Banking ($22.1B), and Process Manufacturing ($16.4B).
  • The global big data market will grow from $18.3B in 2014 to $92.2B by 2026, representing a compound annual growth rate of 14.4 percent. Wikibon predicts significant growth in all four sub-segments of big data software through 2026. Data management (14% CAGR), core technologies such as Hadoop, Spark and streaming analytics (24% CAGR), databases (18% CAGR) and big data applications, analytics and tools (23% CAGR) are the four fastest growing sub-segments according to Wikibon. Wikibon big data forecast 2016
  • In 2015, the Global Analytics and Business Intelligence applications market grew 4% to approach nearly $11.6B in license, maintenance and subscription revenues with SAP maintaining market leadership. SAP led the marketing with 10% market share and $1.2B in Analytics and Business Intelligence (BI) product revenues, riding on a 23% jump in license, maintenance, and subscription revenues. SAS Institute was No. 2 achieving 9% share; IBM was the third at 8%, and Oracle and Microsoft were fourth and fifth place with 7% and 5%, respectively. analytics market shares
  • Through 2020, Spending on Cloud-Based Big Data and Analytics (BDA) Technology Will Grow 4.5x Faster Than Spending for On-Premises Solutions. IDC’s FutureScape: Worldwide Big Data and Analytics 2016 Predictions define ten predictions that define the future of big data and analytics (BDA). IDC also predicts that by 2020, 50% of all business analytics software will incorporate prescriptive analytics built on cognitive computing functionality.IDC FutureScape
  • The Total Data market is expected to nearly double in size, growing from $69.6B in revenue in 2015 to $132.3B in 2020. The specific market segments included in 451 Research’s analysis are operational databases, analytic databases, reporting and analytics, data management, performance management, event/stream processing, distributed data grid/cache, Hadoop, and search-based data platforms and analytics. Worldwide total revenue by segment
  • U.S. and International Operations (29%) and Enterprises (27%) lead the adoption of Big Data globally. Midmarket firms have the fastest growth rate of Big Data initiatives and programs in their organizations between 2014 and 2015. overall adoption of big data
  • Improving customer relationships (55%) and making the business more data-focused (53%) are the top two business goals or objectives driving investments in data-driven initiatives today. 78% of enterprises agree that collection and analysis of Big Data have the potential to change fundamentally the way they do business over the next 1 to 3 years.Data Helps Customer Focused Organizations
  • Venture capital (VC) investment in Big Data accelerated quickly at the beginning of the year with DataDog ($94M), BloomReach ($56M), Qubole ($30M), PlaceIQ ($25M) and others receiving funding. Big Data startups received $6.64B in venture capital investment in 2015, 11% of total tech VC.  M&A activity has remained moderate (FirstMark noted 35 acquisitions since their latest landscape was published last year).big data landscape
  • Oracle (16.4%), SAP (13.1%), IBM (10.3%), Microsoft (9.1%) and SAS (6.1%) are the market share leaders in business analytics through 2015. During the last year, IDC also found the on-premises portion of the overall market contracted by 1.4%, while the public cloud services revenue grew 26.5%. Public cloud portion of the market now represents 17% of the market.
  • IDC forecasts global spending on cognitive systems will reach nearly $31.3 billion in 2019 with a five-year compound annual growth rate (CAGR) of 55%. More than 40% of all cognitive systems spending throughout the forecast will go to software, which includes both cognitive applications (i.e., text and rich media analytics, tagging, searching, machine learning, categorization, clustering, hypothesis generation, question answering, visualization, filtering, alerting, and navigation). Also included in the forecasts are cognitive software platforms, which enable the development of intelligent, advisory, and cognitively enabled solutions.
  • The market for prescriptive analytics software is estimated to grow from approximately $415M in 2014 to $1.1B in 2019, attaining a 22% CAGR. 10% of organizations currently have some form of prescriptive analytics. The portion of organizations adopting prescriptive analytics is forecasted to grow to 35% by 2020, and the bulk of new adoption will be from large organizations in mature economies.
  • The global business intelligence and analytics software market isexpected to increase from $17.9B in 2014 to $26.78B in 2019, attaining a CAGR of 8.4%. Banking, financial services, insurance, retail, IT, and telecom will account for the largest percentage of the analytics and BI market.
  • By 2020, predictive and prescriptive analytics will attract 40% of enterprises’ net new investment in business intelligence and analytics. By 2020, only 50% of chief analytics officers will have successfully created a narrative that links financial objectives to business intelligence and analytics initiatives and investments.
  • Big Data Analytics & Hadoop Market accounted for $8.48B in 2015 and is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 to 2022. The rise of big data analytics and rapid growth in consumer data capture and taxonomy techniques are a few of the many factors fueling market growth.

Source: forbes.com