The transformative shift from a deterministic perspective to a probabilistic perspective laid the foundation for data analysis. Every company is looking out for opportunities to turn more profit, to maximize business metrics, an ....see more
The in-store analytics market size is expected to grow from USD 1.1 billion in 2018 to USD 3.2 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 23.5% during the forecast period. Factors such as a rise in the data volume around in-store operations increased competition from eCommerce players to bricks and mortar retail shops and need for better customer services and shopping experience are expected to drive the adoption of in-store analytics software and services. Moreover, the penetration of smartphones and the Internet, high growth potential in emerging economies, and the advent of cloud-based analytics are expected to create ample opportunities for in-store analytics solution vendors. The in-store analytics market comprises major solution providers, such as RetailNext (US), SAP (Germany), Thinkinside (Italy), Mindtree (India), Happiest Minds (India), Celect (US), Capillary Technologies (Singapore), Scanalytics (US), Inpixon (US), Retail Solutions (US), Dor Technologies (US), SEMSEYE (Lithuania), InvenSense (US), Walkbase (Finland), and Amoobi (Belgium). The study includes the in-depth competitive analysis of these key players in the in-store analytics market with their company profiles, recent developments, and key market strategies.
The telecom analytics market size is expected to grow from USD 3.1 billion in 2018 to USD 6.0 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 14.3% during the forecast period. The factors such as the growing need for churn prevention, increasing demand for effective revenue management, and rising attacks and suspicious activities are expected to fuel the market growth. However, the lack of awareness of telecom analytics among telecom operators is expected to restrain the market growth. Moreover, the significance of Private Branch Exchange (PBX) in internal operations, vulnerability of mobile devices, and use of customer and network data analytics to devise the targeted upselling strategy for effective subscriber engagement are expected to create opportunities. The telecom analytics market comprises major solution providers, such as SAP (Germany), Oracle (US), IBM (US), SAS Institute (US), Adobe (US), Cisco (US), Teradata (US), Micro Focus (UK), TIBCO (US), MicroStrategy (US), Tableau (US), Panorama Software (Canada), Qlik (US), OpenText (Canada), Alteryx (US), and Sisense (US). The study includes the in-depth competitive analysis of these key players in the telecom market with their company profiles, recent developments, and key market strategies.
The global market size of the financial analytics market is expected to grow from USD 6.9 billion in 2018 to USD 11.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 10.7% during the forecast period. The demand for financial analytics solutions is expected to have driven by the increasing demand for reducing planning and budgeting cycles, rising digital transformation, increasing use of technologies, and growing focus on improving customer experience and emphasis on cost reduction. To improve financial performance, organizations are looking for greater visibility into costs, resources, and performance. Financial analytics solutions offer improved speed and agility through automated planning, budgeting, and forecasting. The adoption of these solutions provides better insights into financial efficiency measures, operational Key Performance Indicators (KPIs), and product and customer profitability. These dynamic planning and budgeting platforms enable business users to adapt to changing budgeting and planning policies with minimal impact on budgeting timelines. Major vendors offering financial analytics solutions globally include Oracle (US), IBM (US), Teradata (US), TIBCO Software (US), SAP (Germany), SAS Institute (US), Alteryx (US), Qlik (US), FICO (US), GoodData (US), Birst (US), Google (US), Information Builders (US), Zoho Corporation (US), and Domo (US). The study includes an in-depth competitive analysis of the key players in the financial analytics market, along with their company profiles, recent developments, and key market strategies.
MarketsandMarkets expects the global real-time bidding (RTB) market to grow from USD 6.6 billion in 2019 to USD 27.2 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 32.9% during forecast period. Growing number of smartphone users and a focus on improved campaign performance and increased RoI are expected to drive the RTB market. The RTB market report provides the competitive landscape and company profiles of the key vendors by their product offerings and business strategies. Major list of real-time bidding (RTB) market companies include Google (US), WPP (UK), Adobe (US), Criteo (France), Facebook (US), Smaato (US), Yandex (Russia), PubMatic (US), Salesforce (US), Rubicon Project (US), MediaMath (US), MoPub (US), AppNexus (US), Platform One (Japan), and Verizon Media (US).
The global augmented analytics market size is expected to grow from USD 4.8 billion in 2018 to USD 18.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 30.6% during the forecast period. Major growth drivers for the market include increasing volume of complex data and growing adoption of advanced business analytics tools. Major vendors offering augmented analytics software and services across the globe include Salesforce (US), SAP (Germany), IBM (US), Microsoft (US), Oracle (US), Tableau (US), MicroStrategy (US), SAS (US), Qlik (US), TIBCO Software (US), Sisense (US), Information Builders (US), Yellowfin (Australia), ThoughtSpot (US), and Domo (US)
The Event Stream Processing (ESP) market is expected to grow from USD 690 million in 2018 to USD 1,838 million by 2023, at a Compound Annual Growth Rate (CAGR) of 21.6% during the forecast period. Major vendors in the global computational creativity market include IBM (US), Microsoft (US), Google (US), Oracle (US), SAS (US), SAP (Germany), TIBCO (US), Informatica (US), Hitachi Vantara (US), AWS (US), Software AG (Germany), Salesforce (US), Redhat (US), FICO (US), Impetus Technologies (US), data Artisans (Germany), Radicalbit (Italy), Streamlio (US), Equalum (Israel), Striim (US), Confluent (US), EVAM (US), Databricks (US), SQL Stream (US), and EsperTech (US).
Identity analytics is the next evolution of Identity, Governance, and Administration (IGA). Identity analytics solutions combine the power of big data and advanced analytics and help to detect identity-based risks across organization’s IT infrastructures. Traditional identity and access management solutions are not capable of detecting and mitigating identity thefts efficiently. Identity analytics solutions are gaining traction due to the increasing demand among enterprises to automate critical identity-based access provision, de-provision, and authentication. The market for identity analytics is expected to grow from USD 291 million in 2018 to USD 1,093 million by 2023, at a Compound Annual Growth Rate (CAGR) of 30.3% during the forecast period. The increasing number of identity thefts, increased need to secure users and devices from unauthorized access, and rising demand for mobility solutions will drive the growth of the market.
The global GPU database market size is expected to grow from USD 178 million in 2018 to USD 455 million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.7% during the forecast period. The demand for GPU database is expected to rise over the next 5 years owing to several factors, including massive data generation across BFSI, retail, and media and entertainment industry verticals which would require high performance computing capability to process the data, availability of open source solutions, and growing applications areas. Major vendors offering GPU database globally include Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US), BlazingDB (US), Zilliz (China), Jedox (Germany), HeteroDB (Japan), H2O.ai (US), FASTDATA.io (US), Fuzzy Logix (US), Anaconda (US), and Graphistry (US). The study includes an in-depth competitive analysis of the key players in the GPU database market, along with their company profiles, recent developments, and key market strategies.
MarketsandMarkets forecasts the global computational creativity market size to grow from USD 204 million in 2018 to USD 685 million by 2023, at a Compound Annual Growth Rate (CAGR) of 27.4% during 2018–2023. Major growth drivers for the market include automation of creative tasks and adoption of computational creativity solutions which would improve the creative process. Major vendors in the global computational creativity market include IBM (US), Google (US), Microsoft (US), Adobe (US), Amazon Web Services (US), Autodesk (US), Jukedeck (UK), HUMTAP (US), Amper Music (US), ScriptBook (Belgium), B12 (US), The Grid (US), Canva (Australia), Hello Games (UK), IntegraPay (Australia), B12 (US), Lumen5 (Canada), Skylum (US), Logojoy (Canada), Runway (US), Avia (Luxembourg), Prisma Labs (US), Object AI (Hong Kong), Firedrop (UK), Obvious (France), Automated Creative (UK), and Cyanapse(UK).
The real time payments market is expected to grow from USD 6.8 billion in 2018 to USD 25.9 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 30.6%. The real time payments market report provides the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. The major vendors in the global real time payments market include ACI Worldwide (US), FIS (US), Fiserv (US), Mastercard (US), Worldline (France), PayPal (US), Visa (US), Apple (US), Ant Financial (China), INTELLIGENT PAYMENTS (Gibraltar), Tmenos (Swtizerland), Wirecard (Germany), Global Payments (US), Capgemini (France), IntegraPay (Australia), SIA (Italy), Obopay (India), Ripple (US), Pelican (UK), Finastra (UK), Nets (Denmark), FSS (India), Montran (US), REPAY (US), and Icon Solutions (UK).
MarketsandMarkets forecasts the global voice cloning market size to grow from USD 456 million in 2018 to USD 1,739 million by 2023, at a Compound Annual Growth Rate (CAGR) of 30.7% during the forecast period (2018–2023). Major vendors in the voice cloning market include Google (US), Microsoft (US), IBM (US), AWS (US), AT&T (US), Baidu (China), Nuance Communications (US), iSpeech (US), NeoSpeech (US), CereProc (Scotland), Cepstral (US), Lyrebird (Canada), Kata.ai (Indonesia), alt Inc. (Japan), Aristech GmbH (Germany), Acapela Group (Belgium), VocaliD (US), Voicery (US), Voctro Labs (Spain), exClone (US), CandyVoice (France), LumenVox (US), rSpeak (Netherlands), Smartbox Assistive Technology (UK), and VivoText (Israel).
The TV analytics market size is expected to grow from USD 1.9 billion in 2018 to USD 4.2 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.4% during the forecast period. The intensifying business competition and the growth of social media and social advertising are driving the TV analytics market. The TV analytics market comprises major solution providers, such as IBM (US), Google (US), The Nielsen Company (UK), Zapr Media Labs (India), Alphonso Inc.(US), TVSQUARED (Scotland), Amobee, Inc. (US), 605 (US), Clarivoy (US), TVbeat (UK), BLIX (Australia), H-Tech (Bulgaria), DC Analytics (Germany), SambaTV (US), AnalyticOwl (US), Edgeware AB (Sweden), Realytics (France), Sorenson Media (US), FourthWall Media (US), Parrot Analytics(US), iSpot.tv (US), Admo.TV (France), Conviva (US), iQ Media (US), and BrightLine (US). The study includes an in-depth competitive analysis of the key players in the TV analytics market, along with their company profiles, recent developments, and key market strategies.
The service analytics market is expected to grow from USD 546.4 million in 2018 to USD 1,056.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 14.1% during the forecast period. Factors, such as the rise in the need for constant and effective interaction with customers to ensure prompt and proficient services and competitive pressure to become more data-driven are expected to drive the growth of the global service analytics market. Vendors providing service analytics software and services include Oracle (US), Salesforce (US), ServiceNow (US), SAP (Germany), SAS (US), Tableau (US), Microsoft (US), ClickSoftware (US), Centina Systems (US), Paskon (US), Numerify (US), Field Squared (US), Helpshift (US), Aureus Analytics (Singapore), NetEnrich (US), BlueFletch (US), mobi corp (US), DataHero (US), Agile CRM (US), Sisense (US), and MicroStrategy (US).
MarketsandMarkets expects the global building analytics market size to grow from USD 5.94 billion in 2018 to USD 11.10 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 13.3% during the forecast period. Major growth factors for the market include an increased demand for energy-efficient systems and a growing focus on decreasing operational cost requirement. Major vendors providing building analytics software and services include Honeywell, IBM, Johnson Controls, Schneider Electric, General Electric, Siemens, ENGIE Insight Services, Lucid, EnerNOC, BuildingIQ, ICONICS, Senseware, KGS Buildings, BuildingLogiX, Lutron Electronics, CopperTree Analytics, EcoVox, GridPoint, Energy Advantage, Delta Electronics, BuildPulse, Crestron Electronics, PointGrab, Verdigris, and NOVEDA Technologies.
The big data and data engineering services market is expected to grow from USD 34.47 billion in 2018 to USD 77.37 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.6% during the forecast period. Major growth drivers for the market include increasing volumes of unstructured data due to phenomenal growth of interconnected devices and social media, cost-effective services and cutting-edge expertise rendered by boutique data servicing companies, and an increasing need for complying with stringent regulations. The report also covers different strategies, such as acquisitions, partnerships, new product launches, and product upgradations, adopted by the major players to increase their market shares. Major technology vendors include Accenture (Ireland), Genpact (US), Cognizant (US), Infosys (India), Capgemini (France), NTT DATA (Japan), Mphasis (India), L&T Technology Services (India), Hexaware (India), Happiest Minds (India), KPMG (Netherlands), EY (UK), Tiger Analytics (US), LatentView Analytics (US), InfoStretch (US), Vensai Technologies (India), Course5 (US), Sigmoid (US), Nous Infosystems (India), Bodhtree (US), Hidden Brains InfoTech (India), Brillio (US), Franz Inc. (US), BRIDGEi2i (India), and Trianz (US).
MarketsandMarkets expects the global cognitive media market size to grow from USD 551.4 million in 2018 to USD 1,839.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 27.2% during the forecast period. Major growth drivers for the market include automation of workflow in the media sector, an increasing demand for improved content creation, utilization of cognitive computing to combat the increasing pressure for detecting illegal content, and an increasing number of AI startups in the media industry. The cognitive media market report provides the competitive landscape and company profiles of the key vendors by their product offerings and business strategies. The major vendors in the global cognitive media include Microsoft (US), Google (US), AWS (US), Adobe (US), IBM (US), nVIDIA (US), Salesforce (US), Baidu (China), Crimson Hexagon (US), Veritone (US), Bytedance (China), Acrolinx (Germany), Zeta Global (US), Kitewheel (US), Clarifai (US), Axle.ai (US), Albert (US), Kenshoo (Israel), Spotad (Israel), Valossa (Finland), Emarsys (Austria), Soundhound Inc. (US), Video Intelligence (Switzerland), MiQ (UK), Phrasee (UK), NewsRx (US), and TrendKite (US).
The dark analytics market is expected to grow from USD 278.3 million in 2018 to USD 867.7 million by 2023, at a CAGR of 25.5% from 2018 to 2023. The dark analytics market is projected to witness significant growth during the forecast period, majorly driven by the rapid increase in data generated by organizations, the adoption of artificial intelligence, and machine learning technologies for dark data analysis, and increase in the deployment of dark analytics solutions. Increasing investments in dark analytics technology by SMEs is one of the opportunities for growth in the dark analytics market. Dark analytics helps organizations in managing campaigns, making quick decisions, analyzing markets, and deriving customer insights. Dark analytics empowers the decision-making process of SMEs and enable them to easily identify existing and future business risks. The major vendors covered in the dark analytics market include IBM (US), SAP (Germany), Amazon Web Services (US), Micro Focus (UK), Dell EMC (US), Microsoft (US), AvePoint (US), Teradata (US), Symantec (US), Datameer (US), IRI (US), SAS (US), Commvault (US), Veritas (US), Cohesity (US), Datumize (Spain), SynerScope (Netherlands), Komprise (US), Lattice (US), Quantta Analytics (India), Zoomdata (US), Formcept (India), Globanet (US), Esdebe Consultancy (UK), and Levi, Ray & Shoup (US).
The audience analytics market size is expected to grow from USD 3.61 billion in 2018 to USD 6.30 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 11.8% during the forecast period. The demand for audience analytics solution and services is expected to be driven by several factors, such as the increasing user engagement on the digital platform, the growing focus on the competitive intelligence, and the rising need to improve the audience experience. The major vendors providing audience analytics solutions and services include comScore (US), Adobe (US), Oracle (US), IBM (US), Google (US), Unifi Software (US), SAS (US), Akamai (US), Cxense (Norway), NetBase Solutions (US), Cadreon (US), Socialbakers (Czech Republic), Crimson Hexagon (US), Quividi (France), 3DiVi (US), Flytxt (Netherlands), Telmar (US), StoryFit (US), Brandchats (Spain), Verto Analytics (US), AnalyticsOwl (US), Verimatrix (US), Brandwatch (UK), Sightcorp (Netherlands), and Lotame Solutions (US).
The global tag management system market size is expected to grow from USD 661.9 million in 2018 to USD 1,286.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 14.2% during the forecast period. The base year considered for this report is 2017, and the market forecast period is 2018–2023. The major growth drivers of the tag management system market include an increasing need for established data governance policies, focus on delivering better customer experiences, and the ability to create cohesive ecosystem. Growth opportunities for tag management system market include the need for tag management system applications, such as user experience management, content management, risk and compliance management, campaign management; and a new breed of tag management solutions. Major vendors in global tag management system market include Google (US), IBM (US), Adobe (US), Tealium (US), Ensighten (US), Adform (Denmark), AT Internet (France), Commanders Act (France), Datalicious (Australia), Mezzobit (US), Qubit (UK), Relay 42 (Netherlands), Segment (US), Signal (US), Sizmek (US), Piwik Pro (US), and Innocraft (New Zealand).
MarketsandMarkets expects the global process analytics market size to grow from USD 185.3 Million in 2018 to USD 1,421.7 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 50.3% during the forecast period. The major growth factors for the process analytics market include the implementation of digital transformation that is driving users’ awareness for analyzing and understanding business processes, and the advent of the algorithmic business. Moreover, collaborations between process analytics and Enterprise Resource Planning (ERP) vendors, and the rise in the implementation of the task level automation are also driving the market growth. The process analytics market is segmented on the basis of process mining types, organization size, deployment types, applications, and regions. The major vendors in the process analytics market include Celonis (Germany), Fluxicon (Netherlands), Icaro Tech (Brazil), Kofax (US), Lana Labs (Germany), Minit (Slovakia), Logpickr (France), TimelinePI (US), Scheer (Germany), Monkey Mining (Netherlands), Worksoft (US), Puzzle Data (South Korea), QPR Software (Finland), Cognitive Technology (Malta), Signavio (Germany), SNP (US), Your Data (France), Process Mining Group (Open-Source), Software AG (Germany), Fujitsu (Japan), CA Technologies (US), Process Analytics Factory (Germany), StereoLOGIC (Ontario), Intellera (Canada), and ProcessGold (Netherlands).
The data mining tools market is expected to grow from USD 591.2 Million in 2018 to USD 1,039.1 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 11.9% during the forecast period, owing to the significant increase in data volume and increased awareness among enterprises to leverage the benefits of available data assets. Major vendors in the data mining tools market include IBM (US), Microsoft (US), SAS Institute (US), Oracle (US), Intel (US), SAP SE (Germany), RapidMiner (US), KNIME (Switzerland), Teradata (US), MathWorks (US), H2O.ai (US), Alteryx (US), FICO (US), Angoss (Canada), Salford Systems (US), BlueGranite (US), Megaputer (US), Biomax Informatics (Germany), Frontline Systems (US), Dataiku (France), Wolfram (US), Reltio (US), SenticNet (Singapore), Business Insight (Belgium), and SunTec India (Delhi).
The natural language generation market is expected to grow from USD 322.1 Million in 2018 to USD 825.3 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.8% during the forecast period. Factors such as the increasing business need to understand customers’ behavior is expected to drive the global natural language generation market. Major vendors who offer NLG software and services include Arria NLG (UK), Yseop (US), IBM (US), Automated Insights (US), Artificial Solutions (Spain), NARRATIVEWAVE (US), Narrative Science (US), Narrativa (UAE), Amazon Web Services (AWS) (US), Retresco (Germany), Phrasee (UK), Conversica (Conversica) (US), Linguastat (US), NewsRx (US), vPhrase (India), Phrasetech (Israel), CoGenTex (CoGenTex) (US), AX Semantics (Germany), Textual Relations (Sweden), and 2txt - natural language generation GmbH (2txt) (Germany). Other stakeholders of the natural language generation market include vendors, such as research organizations, network, system integrators, natural language generation managed service providers, Business Intelligence (BI) solution providers, marketing analytics executives, third-party providers, and technology providers.
The global data wrangling market is expected to grow from USD 1.29 Billion in 2018 to USD 3.18 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 19.7% during the forecast period. A rapid increase of data volumes across industry verticals is triggering organizations to incorporate advanced analytics algorithms in their systems to gain substantial insights that help them to stay competitive. The proliferation of data across verticals is one of the main growth for the data wrangling market. The major vendors offering data wrangling tools and services include Trifacta (US), Datawatch (US), Dataiku (France), IBM (US), SAS Institute (US), Oracle (US), Talend (US), Alteryx (US), TIBCO (US), Paxata (US), Informatica (US), Hitachi Vantara (US), Teradata (US), Datameer (US), Cooladata (US), Unifi (US), Rapid Insight (US), Infogix (US), Zaloni (US), Impetus (US), Ideata Analytics (India), Onedot (Switzerland), IRI (US), Brillio (US), and TMMData (US). These players have incorporated various strategies to expand their global presence to increase their market shares. The strategic partnerships, mergers and acquisitions, product upgrades, and expansions are some of the major strategies embraced by these players.
MarketsandMarkets forecasts the global Artificial Intelligence (AI) in education market to grow from USD 537.3 Million in 2018 to USD 3,683.5 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 47.0% during the forecast period. The increasing adoption of the AI technology for various applications in the education sector and growing need for multilingual translators integrated with the AI technology are expected to drive the growth of the AI in education market. The AI in education market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. Major AI in education vendors include IBM (US), Microsoft (US), Bridge-U (UK), DreamBox Learning (US), Fishtree (US), Jellynote (France), Jenzabar (US), Knewton (US), Metacog (US), Querium Corporation (US), Google (US), AWS (US), Cognizant (US), Carnegie Learning (US), Century-Tech (UK), Cognii (US), Elemental Path (US), Liulishuo (China), Nuance Communications (US), Osmo (US), Pearson (UK), Third Space Learning (UK), Quantum Adaptive Learning (US), ALEKS (US), and Blackboard (US).
The disclosure management market accounted for USD 433.0 Million in 2016 and is projected to reach USD 1,066.0 Million by 2022, growing at a Compound Annual Growth Rate (CAGR) of 16.7% during 2017–2022. The major growth drivers of the disclosure management market include the increasing need to comply with regulatory bodies, and globalization of businesses. The base year considered for this report is 2016, and the market forecast period considered is 2017–2022. The major vendors providing disclosure management software and services are SAP (Germany), Oracle (US), Certent (US), IRIS Business Services (India), Workiva (US), CoreFiling (UK), DataTracks (India), LucaNet (Germany), OCR Services (US), Trintech (Australia), and Lecorpio (US).
The data fusion market size is expected to grow from USD 7.62 Billion in 2017 to USD 15.92 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 15.9% during the forecast period. The major growth drivers of the data fusion market include rapid adoption of data-driven decision-making and introduction of Industrial Internet of Things (IIoT). Furthermore, the report encompasses different strategies, such as mergers and acquisitions, partnerships and collaborations, and product upgradations, adopted by major players to increase their share in the market. Some of the major technology vendors include AGT International (Switzerland), Esri (US), LexisNexis (US), Palantir Technologies (US), Thomson Reuters (Canada), InvenSense (US), Clarivate Analytics (US), Cogint (US), Merrick & Company (US), and INRIX (US)
MarketsandMarkets expects the global enterprise Artificial Intelligence (AI) market to grow from USD 845.4 Million in 2017 to USD 6,141.5 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 48.7% during the forecast period. The rising demand for AI-based solutions and platforms, and the need to analyze large and complex data sets are expected to drive the growth of the enterprise AI market. The enterprise AI market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. The major enterprise AI vendors include IBM (US), Microsoft (US), AWS (US), Intel (US), Google (US), SAP (Germany), Sentient Technologies (US), Oracle (US), HPE (US), and Wipro (India).
The data migration market size is expected to grow from USD 5.14 Billion in 2017 to USD 11.49 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 17.5% during the forecast period. The key forces driving the data migration market include increasing business data volume, evolving regulatory landscape, and need to maintain legacy data. The vendors providing data migration software and services include IBM (US), Oracle (US), AWS (US), Microsoft (US), SAS Institute (US), SAP (Germany), Informatica (US), Information Builders (US), Talend (US), Attunity (US), Scribe Software (US), and Syncsort (US).
The digital intelligence platform market is projected to grow from USD 5.65 Billion in 2017 to USD 13.96 Billion by 2022, at a CAGR of 19.8% from 2017 to 2022. The market is primarily driven by the adoption of digital intelligence platforms for competitive differentiation and increasing customer retention activity, rising focus on social media analytics and personalization, and need for optimizing digital experiences across all touchpoints. The report encompasses competitive landscape, which presents the positioning of 11 key vendors of digital intelligence platforms based on their product offerings and business strategies. Some of the major digital intelligence platform vendors include Adobe Systems (US), IBM (US), SAS Institute (US), Evergage (US), Google (US), Mixpanel (US), Optimizely (US), Webtrekk (Germany), New Relic (US), Localytics (US), and Cxense (Norway).
Visual analytics enables business users to access business data and analyze them to generate visual insights, even if they do not have data science and analytical skills. The visual analytics market size is expected to grow from USD 2.26 Billion in 2016 to USD 6.51 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 20.4%. 2016 is considered to be the base year, while the forecast period is 2017–2022. The report also encompasses different strategies, such as mergers and acquisitions, partnerships and collaborations, and product upgradations, adopted by the major players to increase their shares in the market. Some of the major technology vendors include IBM (US), Oracle (US), SAP (Germany), SAS Institute (US), Tableau Software (US), Microsoft (US), MicroStrategy (US), TIBCO Software (US), Qlik (US), and Alteryx (US).
The cognitive analytics market is expected to grow from USD 1.84 Billion in 2017 to USD 10.95 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 42.9% during the forecast period. The report also encompasses the different strategies, such as mergers and acquisitions, partnerships and collaborations, and product developments, adopted by the major market players to increase their shares in the market. Some of the major technology vendors include IBM (US), Amazon Web Services (US), Google (US), Microsoft (US), Oracle (US), SAS Institute (US), Intel (US), Cisco Systems (US), HPE (US), Nuance Communications (US), IPsoft (US), Narrative Science (US), Nokia (Finland), Sinequa (France), and Persado (US).
The Middle East cloud infrastructure services market is expected to grow from USD 2.66 Billion in 2017 to USD 8.79 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 27.0% during the forecast period of 2017–2022. The Middle East cloud infrastructure services ecosystem encompasses vendors, such as IBM (US), Microsoft (US), Oracle (US), Amazon Web Services (US), HPE (US), Equinix (US), Cisco Systems (US), Etisalat (UAE), Injazat Data Systems (UAE), Malomatia (Qatar), Orixcom (UAE), eHosting Datafort (UAE), BIOS Middle East Group (UAE), Fujitsu (Japan), Cloud4c services (India), ez TECH (Oman), MK Enterprises (Qatar), iMED Solutions (UAE), Intertec Systems (UAE), JMR Infotech (India), Ooredoo (Qatar), STC Cloud (Saudi Arabia), Interkey Telecom & Technology (Saudi Arabia), Compro Information Technologies (Turkey), and DESistem (Istanbul). Other stakeholders of the Middle East cloud infrastructure services market include vendors, research organizations, network and system integrators, cloud service providers, managed service providers, third-party providers, and technology providers.
The Enterprise Metadata Management market is expected to grow from USD 2.67 Billion in 2017 to USD 7.85 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 24.1% during the forecast period. The enterprise metadata management market vendors include Adaptive (US), ASG Technologies (US), Cambridge Semantics (US), CentricMinds (VIC), Collibra (US), Data Advantage Group (US), IBM (US), Informatica (US), Oracle (US), SAP (Germany), Talend (US), TopQuadrant (North Carolina), Alation (US), AWS (US), Datum LLC (US), Infogix (US), Mulesoft (US), Global IDs (US), Smartlogic (US), Idera (US), erwin Inc. (US), Information Builders (US), Orchestra Networks (France), Trillium Software (US), and Varonics Systems (US).
The vehicle analytics market size is expected to grow from USD 930.0 Million in 2016 to USD 3,637.4 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 26.5%. The base year considered for this report is 2016 and the forecast period is 2017–2022. Major vendors in this market include Acerta Analytics Solutions (Canada), Agnik LLC (US), Amodo (Croatia), Automotive Rentals (ARI) (US), Azuga (US), C-4 Analytics, LLC (US), CloudMade (UK), Digital Recognition Network (US), EngineCAL (India), Genetec Inc.(Canada), HARMAN International (US), IBM (US), Inquiron (Dubai), INRIX (US), Inseego Corp. (US), Intelligent Mechatronic Systems (Canada), Microsoft (US), Noregon (US), Pivotal Software, Inc. (US), Plotly (Canada), Procon Analytics (US), SAP (Germany), Teletrac Navman (US), WEX Inc. (US), and Xevo Inc. (US).
Embedded analytics enables business users to access business data and analyze them at any place and any time to generate insights within an application, even though they do not have data science and analytical skills. The embedded analytics market size is expected to grow from USD 24.36 Billion in 2016 to USD 51.78 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 14.1%. 2016 is considered to be the base year, while the forecast period is 2017–2022. The report also encompasses different strategies, such as mergers and acquisitions, partnerships and collaborations, and product developments, adopted by the major players to increase their shares in the market. Some of the major technology vendors include Microsoft Corporation (US), IBM (US), SAP SE (Germany), SAS Institute (US), Oracle Corporation (US), MicroStrategy Incorporated (US), Tableau Software (US), TIBCO Software (US), Birst (US), Logi Analytics (US), QlikTech International (US), Sisense (US), Information Builders (US), OpenText (Canada), and Yellowfin International (Australia).
The data quality tools market size is expected to grow from USD 610.2 Million in 2017 to USD 1,376.7 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 17.7%. The major data quality tools vendors include Experian Data Quality (Experian Plc) (US), Informatica (US), Information Builders, IBM Corporation (US), Microsoft Corporation (US), Oracle Corporation (US), Pitney Bowes Inc. (US), SAP SE (Germany), SAS Institute Inc. (US), Syncsort (US), Talend (US), Trianz (US), and Tamr (US).
The IoT analytics market is expected to grow from USD 7.2 billion in 2017 to USD 27.8 billion by 2022, at a compound annual growth rate (CAGR) of 31.0% during the forecast period.The Major players operating in the market include IBM Corporation (US), Microsoft Corporation (US), Oracle Corporation (US), SAP SE (Germany), Cisco Systems, Inc., (US), Dell Technologies, Inc. (US), Google, Inc. (US), Amazon Web Services, Inc. (US), HP Enterprise Co (US), PTC, Inc. (US), Hitachi, Ltd. (Japan), Teradata Corporation (US), Salesforce.com, Inc. (US), Greenwave Systems, Inc. (US), and mnubo, inc. (US).
The industrial analytics market is expected to grow from USD 11.29 Billion in 2017 to USD 25.51 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 17.7%. The report also encompasses different strategies, such as acquisitions, partnerships & collaborations, and product developments, adopted by major players to increase their share in the market. Major technology vendors in the industrial analytics market include General Electric (US), IBM Corporation (US), Microsoft Corporation (US), Oracle Corporation (US), PTC, Inc. (US), SAS Institute (US), SAP SE (Germany), Cisco Systems, Inc. (US), HPE (US), Intel Corporation (US), Hitachi, Ltd. (Japan), TIBCO Software, Inc. (US), AGT International (Switzerland), Bridgei2i Analytics Solutions (India), and Alteryx, Inc. (US).
The spend analytics market size is expected to grow from USD 1.33 Billion in 2017 to USD 3.01 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 17.7%. The report segments the market by component, application, analytics type, business function, deployment model, organization size, vertical, and region. The major vendors providing spend analytics software and services are SAP SE (Germany), SAS Institute, Inc. (US), IBM Corporation (US), Oracle Corporation (US), Coupa Software Incorporated (US), Zycus Inc. (US), Proactis (UK), Empronc Solutions Pvt. Ltd. (India), JAGGAER SciQuest, Inc. (US), Rosslyn Analytics, Ltd. (UK), Ivalua Inc. (US), and BravoSolution SPA (US).
The clickstream analytics market size is expected to grow from USD 750.3 Million in 2017 to USD 1,560.6 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 15.8% during the forecast period. Major clickstream analytics vendors include Adobe Systems (US), AT Internet (US), Google (US), IBM Corporation (US), Microsoft Corporation (US), Oracle Corporation (US), SAP SE (Germany), Connexity (US), Hewlett Packard Enterprise (US), Jumpshot (US), Splunk (US), Talend (US), Verto Analytics (Finland), Webtrends Corporation (US), and Vlocity, Inc (US).
MarketsandMarkets forecasts the global text analytics market size to grow from USD 3.2 billion in 2016 to USD 8.8 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 17.2% during the forecast period. The major growth drivers of the market include the growing need for social media analytics, and increasing need of predictive analytics for businesses. Major vendors in the global text analytics market include SAP SE (Walldorf, Germany), International Business Machines Corporation (New York, U.S.), SAS Institute, Inc. (North Carolina, U.S.), OpenText Corporation (Ontario, Canada), Clarabridge, Inc. (Virginia, U.S.), Megaputer Intelligence, Inc. (Indiana, U.S.), Luminoso Technologies, Inc. (Massachusetts, U.S.), MeaningCloud LLC (New York, U.S.), KNIME.com AG (Zurich, Switzerland), Infegy, Inc. (Missouri, U.S.), Lexalytics, Inc. (Massachusetts, U.S.), and Averbis (Freiburg Germany). These vendors have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global text analytics market further.
The in-memory analytics market size is expected to grow from USD 1.26 Billion in 2017 to USD 3.85 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 25.1% from 2017 to 2022. The report segments the market into components, deployment models, organization sizes, applications, verticals, and regions. The major growth drivers of the in-memory analytics market include digital transformation using real-time analytics, technological advancement in computing power, and growing trend of self-service Business Intelligence (BI) tools.
In the business world today, the volume of data is increasing at a tremendous pace considering the rise in adoption of IoT devices and appliances. Companies are using various data sources related to IoT such as sensors, mobile devices, Radio-Frequency Identification (RFID), and Global Positioning System (GPS) to collect intelligence on events as soon as they occur. Traditional business analytics platforms cannot keep pace with such a dynamic data, which is higher in volume and variety. IoT Analytics helps companies in manipulating real-time business events and dynamic data, analyzing them, reacting as and when they occur, and making IoT and its raw data even more useful for the companies in coming up with the most strategic goals.
The performance analytics market is estimated to grow from USD 1.10 Billion in 2016 to USD 2.59 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 18.7% during the forecast period. Simple to utilize and integrated business applications of performance analytics software will propel the growth of the performance analytics market. Major driver of the performance analytics market is rising prevalence of metrics-driven business performance assessment. The report provides detailed insights into the global performance analytics market, which is segmented by component, application, analytic type, organization size, deployment model, industry vertical, business function, and region.
The top 10 analytics technologies market is expected to grow at a significant rate during the forecast period. The growth of this market is propelled by the advent of IoT and proliferation of massive amounts of data through connected devices, increasing focus on competitive insights, need for increased business agility and scalability, and growing volume and variety of business data across industry verticals. This report categorizes the top 10 analytics technologies market on the basis of software, service, data type, business function, application, industry vertical, and region.
The mobile Business Intelligence (BI) market is estimated to grow from USD 4.08 Billion in 2016 to USD 11.13 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 22.2%. The major forces driving the mobile BI market are increasing Bring Your Own Device (BYOD) trend, rise of Mobile Enterprise Application Platform (MEAP), growing popularity of Representational State Transfer Application Programming Interface (REST APIs), proliferation of in-memory computing, and rapid advancement of mobile device features.
The in-memory database market is estimated to grow from USD 2.72 Billion in 2016 to USD 6.58 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 19.3%. Faster data processing, falling RAM prices, and massive amount of data being generated from various industries are the key driving forces of in-memory database market.
The operational analytics market size is expected to grow from USD 4.65 Billion in 2016 to USD 10.93 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 18.6% during the forecast period. The major growth drivers of the operational analytics market include data explosion due to emergence of IoT-enabled devices, increasing need for process & operations optimization & control, adoption of advanced data management strategies, and increasing focus on market & competitive intelligence.
The crowd analytics market size is expected to grow from 385.1 Million in 2016 to 1,142.5 Million by 2021, at a Compound Annual Growth Rate (CAGR) of 24.3% during the forecast period. The major growth drivers of the crowd analytics market include the need to install new and advanced surveillance systems and the growing need for business intelligence solutions.
The data prep market is estimated to grow from USD 1.46 Billion in 2016 to USD 3.93 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 25.2% during the forecast period. Data prep makes use of tools such as data curation, data cataloging, data quality, data ingestion, and data governance to create consistent data of high quality, by eliminating low quality and incorrect data which would hamper the efficient functioning of processes like analytics and data mining.